tailored_forming_analysis.ipynb

{
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   "cell_type": "markdown",
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   "source": [
    "<a id='top'></a>\n",
    "## Analysis of the Tailored Forming Process Chain for the Manufacturing of Hybrid Components\n",
    "This Jupyter notebook contains several analyses of scholarly knowledge from scientific publications on the topic of *[Tailored Forming Process Chain for the Manufacturing of Hybrid Components with Bearing Raceways Using Different Material Combinations](https://orkg.org/comparison/R187049/)* from the research field *Mechanical Process Engineering*. These analyses are based on domain-specific competency questions about the described scholarly knowledge posed by domain experts in this research area. While the individual competency questions are presented below for overview, their details are explained in the respective section of this Jupyter notebook.\n",
    "\n",
    "Competency questions:\n",
    "1. [How often are certain qualities of hybrid components examined in the individual steps of the Tailored Forming process chain?](#q1)\n",
    "2. [Which material combinations are used for the manufacturing of hybrid components?](#q2)\n",
    "3. [How do the steps of the Tailored Forming process chain affect the hardness of the cladding layer of hybrid components?](#q3)\n",
    "4. [In which material combinations and steps of the Tailored Forming process chain can defects occur in hybrid components?](#q4)\n",
    "5. [What service lives can be achieved for hybrid components depending on the material combinations?](#q5)\n",
    "6. [Which manufacturing methods are used in the individual steps of the Tailored Forming process chain to manufacture the respective hybrid component?](#q6)\n",
    "7. [How often are certain manufacturing methods used in total in all described Tailored Forming process chains?](#q7)\n",
    "8. [Which microstructures are present in hybrid components after the steps of the Tailored Forming process chain?](#q8)\n",
    "\n",
    "For the description of the scholarly knowledge from such publications in this research field, we developed a [ORKG template](https://www.orkg.org/orkg/template/R150595) to consistently describe a Tailored Forming Process Chain for the manufacturing hybrid components. An [ORKG template](https://www.orkg.org/orkg/about/19/Templates) defines a semantic structure for consistently describing research contributions of different scientific publications so that the contributions described contain the same information in the same structure to make the publications comparable. The template makes it possible to describe each step of a process chain in terms of its sequence in the process chain, its input, its manufacturing method used, and its output with the examined qualities, their associated measurement methods, and measurement results."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Loading data from ORKG SPAQRL endpoint\n",
    "First, the data from the publications on *Tailored Forming Process Chain for the Manufacturing of Hybrid Components* is loaded from the Open Research Knowledge Graph ([ORKG](https://www.orkg.org/orkg/)) using the developed template."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>contrib_url</th>\n",
       "      <th>contrib</th>\n",
       "      <th>component</th>\n",
       "      <th>step_number</th>\n",
       "      <th>step_name</th>\n",
       "      <th>manufacture_method</th>\n",
       "      <th>layer</th>\n",
       "      <th>material</th>\n",
       "      <th>measure_method</th>\n",
       "      <th>quality</th>\n",
       "      <th>num_value</th>\n",
       "      <th>textual_value</th>\n",
       "      <th>avg_range</th>\n",
       "      <th>min_value</th>\n",
       "      <th>max_value</th>\n",
       "      <th>unit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>http://orkg.org/orkg/resource/R145728</td>\n",
       "      <td>1 Cladding Layer Component (100Cr6)</td>\n",
       "      <td>Bearing washer</td>\n",
       "      <td>1</td>\n",
       "      <td>Deposition welding</td>\n",
       "      <td>Plasma-transferred arc welding</td>\n",
       "      <td>Base material</td>\n",
       "      <td>C22.8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>http://orkg.org/orkg/resource/R145728</td>\n",
       "      <td>1 Cladding Layer Component (100Cr6)</td>\n",
       "      <td>Bearing washer</td>\n",
       "      <td>1</td>\n",
       "      <td>Deposition welding</td>\n",
       "      <td>Plasma-transferred arc welding</td>\n",
       "      <td>Base material</td>\n",
       "      <td>C22.8</td>\n",
       "      <td>Hardness profile</td>\n",
       "      <td>Hardness</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>150.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>HV0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>http://orkg.org/orkg/resource/R145728</td>\n",
       "      <td>1 Cladding Layer Component (100Cr6)</td>\n",
       "      <td>Bearing washer</td>\n",
       "      <td>1</td>\n",
       "      <td>Deposition welding</td>\n",
       "      <td>Plasma-transferred arc welding</td>\n",
       "      <td>Base material</td>\n",
       "      <td>C22.8</td>\n",
       "      <td>Micrograph</td>\n",
       "      <td>Microstructure</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ferritic-pearlitic</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>http://orkg.org/orkg/resource/R145728</td>\n",
       "      <td>1 Cladding Layer Component (100Cr6)</td>\n",
       "      <td>Bearing washer</td>\n",
       "      <td>1</td>\n",
       "      <td>Deposition welding</td>\n",
       "      <td>Plasma-transferred arc welding</td>\n",
       "      <td>Cladding layer</td>\n",
       "      <td>100Cr6</td>\n",
       "      <td>Hardness profile</td>\n",
       "      <td>Hardness</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>400.0</td>\n",
       "      <td>350.0</td>\n",
       "      <td>450.0</td>\n",
       "      <td>HV0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>http://orkg.org/orkg/resource/R145728</td>\n",
       "      <td>1 Cladding Layer Component (100Cr6)</td>\n",
       "      <td>Bearing washer</td>\n",
       "      <td>1</td>\n",
       "      <td>Deposition welding</td>\n",
       "      <td>Plasma-transferred arc welding</td>\n",
       "      <td>Cladding layer</td>\n",
       "      <td>100Cr6</td>\n",
       "      <td>Micrograph</td>\n",
       "      <td>Microstructure</td>\n",
       "      <td>NaN</td>\n",
       "      <td>pearlitic</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             contrib_url                              contrib  \\\n",
       "0  http://orkg.org/orkg/resource/R145728  1 Cladding Layer Component (100Cr6)   \n",
       "1  http://orkg.org/orkg/resource/R145728  1 Cladding Layer Component (100Cr6)   \n",
       "2  http://orkg.org/orkg/resource/R145728  1 Cladding Layer Component (100Cr6)   \n",
       "3  http://orkg.org/orkg/resource/R145728  1 Cladding Layer Component (100Cr6)   \n",
       "4  http://orkg.org/orkg/resource/R145728  1 Cladding Layer Component (100Cr6)   \n",
       "\n",
       "        component  step_number           step_name  \\\n",
       "0  Bearing washer            1  Deposition welding   \n",
       "1  Bearing washer            1  Deposition welding   \n",
       "2  Bearing washer            1  Deposition welding   \n",
       "3  Bearing washer            1  Deposition welding   \n",
       "4  Bearing washer            1  Deposition welding   \n",
       "\n",
       "               manufacture_method           layer material    measure_method  \\\n",
       "0  Plasma-transferred arc welding   Base material    C22.8               NaN   \n",
       "1  Plasma-transferred arc welding   Base material    C22.8  Hardness profile   \n",
       "2  Plasma-transferred arc welding   Base material    C22.8        Micrograph   \n",
       "3  Plasma-transferred arc welding  Cladding layer   100Cr6  Hardness profile   \n",
       "4  Plasma-transferred arc welding  Cladding layer   100Cr6        Micrograph   \n",
       "\n",
       "          quality  num_value       textual_value  avg_range  min_value  \\\n",
       "0             NaN        NaN                 NaN        NaN        NaN   \n",
       "1        Hardness        NaN                 NaN      150.0      100.0   \n",
       "2  Microstructure        NaN  ferritic-pearlitic        NaN        NaN   \n",
       "3        Hardness        NaN                 NaN      400.0      350.0   \n",
       "4  Microstructure        NaN           pearlitic        NaN        NaN   \n",
       "\n",
       "   max_value   unit  \n",
       "0        NaN    NaN  \n",
       "1      200.0  HV0.5  \n",
       "2        NaN    NaN  \n",
       "3      450.0  HV0.5  \n",
       "4        NaN    NaN  "
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#%matplotlib inline\n",
    "import sparql_dataframe\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.ticker import MultipleLocator\n",
    "import dataframe_image as dfi\n",
    "from datetime import datetime\n",
    "\n",
    "#We are changing the url from orkg.org/orkg to orkg.org/ so if my query is not working this could be the issue\n",
    "ENDPOINT_URL = \"https://www.orkg.org/orkg/triplestore\"\n",
    "\n",
    "PREFIXES =  \"\"\"\n",
    "            PREFIX orkgr: <http://orkg.org/orkg/resource/>\n",
    "            PREFIX orkgc: <http://orkg.org/orkg/class/>\n",
    "            PREFIX orkgp: <http://orkg.org/orkg/predicate/>\n",
    "            PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>\n",
    "            PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>\n",
    "            PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>\n",
    "            \"\"\"\n",
    "\n",
    "query = \"\"\"\n",
    "        SELECT DISTINCT ?contrib_url ?contrib ?component ?step_number ?step_name ?manufacture_method ?layer ?material ?measure_method ?quality ?num_value ?textual_value ?avg_range (xsd:float(?lower_num_value) AS ?min_value) (xsd:float(?upper_num_value) AS ?max_value) ?unit\n",
    "        WHERE {\n",
    "                #Get all steps of the Tailored Forming process chains from CRC 1153, their manufacturing methods, their resulting hybrid components, and their measurement methods (methods)\n",
    "                ?contrib_url a orkgc:C21027;\n",
    "                             orkgp:P32 ?research_problem.\n",
    "                FILTER(?research_problem = orkgr:R720788)\n",
    "\n",
    "                ?contrib_url orkgp:P7108 ?process_plan;\n",
    "                        rdfs:label ?contrib.\n",
    "                ?process_plan orkgp:P44026 ?step_n.\n",
    "                ?step_n orkgp:P7111 ?step_n_name;\n",
    "                        orkgp:P44025* ?step_n_plus_1;\n",
    "                        orkgp:P44012 ?method_n;\n",
    "                        orkgp:HAS_METHOD ?manufacturing_method_n;\n",
    "                        orkgp:P30012 ?output_n.\n",
    "                ?step_n_plus_1 orkgp:P7111 ?step_n_plus_1_name;\n",
    "                                orkgp:P44012 ?method_n_plus_1;\n",
    "                                orkgp:HAS_METHOD ?manufacturing_method_n_plus_1;\n",
    "                                orkgp:P30012 ?output_n_plus_1.\n",
    "                BIND(IF(?step_n_plus_1 = ?step_n, ?method_n, ?method_n_plus_1) AS ?method_resrc)\n",
    "                BIND(IF(?step_n_plus_1 = ?step_n, ?manufacturing_method_n, ?manufacturing_method_n_plus_1) AS ?manu_method_resrc)\n",
    "                BIND(IF(?step_n_plus_1 = ?step_n, ?output_n, ?output_n_plus_1) AS ?output)\n",
    "                \n",
    "                #Get all materials and layers of the resulting hybrid components\n",
    "                ?output orkgp:P28005 ?layer_resrc;\n",
    "                        orkgp:P7111 ?component_type.\n",
    "                ?component_type rdfs:label ?component.\n",
    "                ?layer_resrc orkgp:P3 ?layer_type;\n",
    "                             orkgp:P7000 ?material_resrc.\n",
    "                ?layer_type rdfs:label ?layer.\n",
    "                ?material_resrc orkgp:P42007 ?material_type.\n",
    "                ?material_type rdfs:label ?material.\n",
    "                \n",
    "                #Get the manufacturing method\n",
    "                ?manu_method_resrc orkgp:P7111 ?manu_method_name.\n",
    "                ?manu_method_name rdfs:label ?manufacture_method.\n",
    "                \n",
    "                #Comment for refactoring: unnest the optionals and add the bindings below to the respective sub-optionals\n",
    "                #Get the qualities\n",
    "                Optional{?material_resrc orkgp:P7113 ?quality_resrc.\n",
    "                        ?quality_resrc orkgp:P7111 ?quality_type;\n",
    "                                        orkgp:P44022 ?measurement.\n",
    "                        ?quality_type rdfs:label ?quality.\n",
    "\n",
    "                        #Get the measurement method\n",
    "                        Optional{?method_resrc orkgp:P7111 ?method_name;\n",
    "                                               orkgp:HAS_RESULTS ?measurement.\n",
    "                                ?method_name rdfs:label ?measure_method.}\n",
    "\n",
    "                        #Get the measurement value and unit of the resulting component\n",
    "                        OPTIONAL{?measurement orkgp:HAS_VALUE ?value.\n",
    "                                BIND(?value AS ?backup_value_1).\n",
    "                                ?value orkgp:P44011 ?measurement_value.\n",
    "                                BIND(IF(REGEX(STR(?measurement_value), \"^\\\\\\d*\\\\\\.?\\\\\\d*$\", \"i\"), xsd:float(?measurement_value), \"\") AS ?num_value)\n",
    "                                BIND(IF(REGEX(STR(?measurement_value), \"^\\\\\\d*\\\\\\.?\\\\\\d*$\", \"i\"), \"\", STR(?measurement_value)) AS ?textual_value)\n",
    "                                OPTIONAL{?value orkgp:P42000 ?value_unit.}\n",
    "                                }\n",
    "                         \n",
    "                         #Get the range and unit of the resulting component\n",
    "                        OPTIONAL{?measurement orkgp:P44010 ?range.\n",
    "                                ?range orkgp:P43248 ?lower_value;\n",
    "                                        orkgp:P43247 ?upper_value.\n",
    "                                ?lower_value orkgp:P44011 ?lower_num_value.\n",
    "                                ?upper_value orkgp:P44011 ?upper_num_value.\n",
    "                                ?upper_value orkgp:P42000 ?range_unit.}\n",
    "                        }\n",
    "                \n",
    "                #If no value is reported, calculate the average value based on the reported range\n",
    "                BIND(IF (BOUND(?value), \"\", ((xsd:float(?lower_num_value) + xsd:float(?upper_num_value)) / 2)) AS ?avg_range).\n",
    "                #BIND(IF (!BOUND(?value), ((xsd:float(?lower_num_value) + xsd:float(?upper_num_value)) / 2), \"ssss\") AS ?avg_range).\n",
    "                \n",
    "                #Get the unit either from the single measurement value or the range\n",
    "                BIND(IF (BOUND(?value), ?value_unit, ?range_unit) AS ?unit_resrc).\n",
    "                OPTIONAL {?unit_resrc rdfs:label ?unit.}\n",
    "                \n",
    "                #Get the sequence of the step in the process plan\n",
    "                ?step_n_plus_1_name rdfs:label ?step_name.\n",
    "                BIND(STR(?step_name) AS ?step)\n",
    "                VALUES(?step ?step_number){(\"Deposition welding\" 1) (\"Hot forming\" 2) (\"Cooling\" 3) (\"Heat treatment\" 4) (\"Machining\" 5)}  \n",
    "        }\n",
    "        GROUP BY ?contrib_url ?contrib ?component ?step_number ?step_name ?manufacture_method ?layer ?material ?measure_method ?quality ?value ?num_value ?textual_value ?avg_range ?lower_num_value ?upper_num_value ?unit\n",
    "        ORDER BY ?contrib_url ?contrib ?component ?step_number ?step_name ?manufacture_method ?layer ?material ?measure_method ?quality ?value ?num_value ?textual_value ?avg_range ?lower_num_value ?upper_num_value ?unit\n",
    "        \"\"\"\n",
    "tf_data = sparql_dataframe.get(ENDPOINT_URL, PREFIXES+query)\n",
    "now = datetime.now()\n",
    "tf_data.to_csv('SPARQL-Data/tf_analysis_query_result_' + now.strftime('%Y-%m-%d') + '.csv', encoding='utf-8')\n",
    "tf_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='q1'></a>\n",
    "### 1. Competency question: How often are certain qualities of hybrid components examined in the individual steps of the Tailored Forming Process Chain?\n",
    "Based on this question, we want to know which qualities of the manufactured components are typically reported after certain steps of the Tailored Forming Process Chain. On the one hand, this information shows which qualities are reported prominently in scientific publications on Tailored Forming Process Chains. On the other hand, the answer to this question also shows in which steps little research has been reported in general and for specific qualities.\n",
    "\n",
    "[Back to top](#top)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\KarrasO\\Anaconda3\\Lib\\site-packages\\seaborn\\axisgrid.py:118: UserWarning: The figure layout has changed to tight\n",
      "  self._figure.tight_layout(*args, **kwargs)\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 975x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "steps = tf_data.sort_values('step_number')[['step_number', 'step_name']].drop_duplicates()\n",
    "steps[\"step\"] = steps['step_number'].astype(str) + '. ' + steps['step_name']\n",
    "\n",
    "sns.set_style('whitegrid')\n",
    "sns.set_context('notebook')\n",
    "g = sns.catplot(x='step_number', data=tf_data, hue='quality', kind='count', height=5, aspect=1.5,  legend_out=True)\n",
    "#g.fig.suptitle('Frequency of the examined qualities of the hybrid components\\nper step of the Tailored Forming process chain')\n",
    "g.set(xlabel='Steps of the Tailored Forming Process Chain', ylabel='Frequency of the examined qualities')\n",
    "g.set_xticklabels(steps['step'])\n",
    "g._legend.set_title('Examined qualities')\n",
    "for ax in g.axes.flat:\n",
    "    ax.yaxis.set_major_locator(MultipleLocator(2))\n",
    "\n",
    "plt.savefig('Images/Frequency of the examined qualities.png', dpi=300)\n",
    "plt.ion()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "The figure [\"Frequency of the examined qualities of hybrid components per step of the TFPC\"](Images/Frequency%20of%20the%20examined%20qualities.png) shows the frequency of the examined qualities in all ten described TFPCs per step. In total, the ten TFPCs report 14 different qualities. The two qualities \\textit{hardness} and  \\textit{microstructure} are examined most frequently in four out of five steps. The machining step is the only step where no hardness measurements and microstructure analyses are reported, as no relevant changes in these qualities are expected in this step. Furthermore, we observe that several qualities, such as Weibull shape parameter, experimental life, coefficient of friction, etc., are only measured in the machining step. These qualities are related to the evaluation of the characteristics of the bearing running surface, which can only be examined after the last step, as this steps lead to the final running surface pf the rolling elements.\n",
    "\n",
    "Remark: The data for this answer comes from 10 TFPCs of 5 publications."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='q2'></a>\n",
    "### 2. Competency question: Which material combinations are used for the manufacturing of hybrid components?\n",
    "Due to the large number of materials combinations for the manufacturing of hybrid components, it is necessary to know which material combinations have already been investigated for particular hybrid components. On the one hand, this overview allows researchers to find out whether similar studies already exist so that they can compare these results with their own results. On the other hand, with this overview it is possible to find out which materials combinations for certain hybrid components have not yet been studied and thus represent a gap in science that needs to be closed.\n",
    "\n",
    "[Back to top](#top)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr th {\n",
       "        text-align: left;\n",
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       "\n",
       "    .dataframe thead tr:last-of-type th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th colspan=\"3\" halign=\"left\">Material</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>Layer</th>\n",
       "      <th>Base material</th>\n",
       "      <th>Cladding layer</th>\n",
       "      <th>top layer</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Contribution URL</th>\n",
       "      <th>Component</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>http://orkg.org/orkg/resource/R145728</th>\n",
       "      <th>Bearing washer</th>\n",
       "      <td>C22.8</td>\n",
       "      <td>100Cr6</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>http://orkg.org/orkg/resource/R145731</th>\n",
       "      <th>Bearing washer</th>\n",
       "      <td>C22.8</td>\n",
       "      <td>41Cr4</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>http://orkg.org/orkg/resource/R145734</th>\n",
       "      <th>Bearing washer</th>\n",
       "      <td>S235</td>\n",
       "      <td>X45CrSi9-3</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>http://orkg.org/orkg/resource/R162733</th>\n",
       "      <th>Shaft with bearing seat</th>\n",
       "      <td>C22.8</td>\n",
       "      <td>Delcrome 253</td>\n",
       "      <td>Delcrome 253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>http://orkg.org/orkg/resource/R162788</th>\n",
       "      <th>Shaft with bearing seat</th>\n",
       "      <td>C22.8</td>\n",
       "      <td>Stellite 6</td>\n",
       "      <td>Stellite 6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>http://orkg.org/orkg/resource/R162790</th>\n",
       "      <th>Shaft with bearing seat</th>\n",
       "      <td>C22.8</td>\n",
       "      <td>100Cr6</td>\n",
       "      <td>100Cr6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>http://orkg.org/orkg/resource/R171849</th>\n",
       "      <th>Shaft with bearing seat</th>\n",
       "      <td>20MnCr5</td>\n",
       "      <td>X45CrSi9-3</td>\n",
       "      <td>X45CrSi9-3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>http://orkg.org/orkg/resource/R172160</th>\n",
       "      <th>Shaft with bearing seat</th>\n",
       "      <td>20MnCr5</td>\n",
       "      <td>X45CrSi9-3</td>\n",
       "      <td>X45CrSi9-3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>http://orkg.org/orkg/resource/R172247</th>\n",
       "      <th>Shaft with bearing seat</th>\n",
       "      <td>20MnCr5</td>\n",
       "      <td>X45CrSi9-3</td>\n",
       "      <td>X45CrSi9-3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>http://orkg.org/orkg/resource/R172322</th>\n",
       "      <th>Shaft with bearing seat</th>\n",
       "      <td>20MnCr5</td>\n",
       "      <td>X45CrSi9-3</td>\n",
       "      <td>X45CrSi9-3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                   Material  \\\n",
       "Layer                                                         Base material   \n",
       "Contribution URL                      Component                               \n",
       "http://orkg.org/orkg/resource/R145728 Bearing washer                  C22.8   \n",
       "http://orkg.org/orkg/resource/R145731 Bearing washer                  C22.8   \n",
       "http://orkg.org/orkg/resource/R145734 Bearing washer                   S235   \n",
       "http://orkg.org/orkg/resource/R162733 Shaft with bearing seat         C22.8   \n",
       "http://orkg.org/orkg/resource/R162788 Shaft with bearing seat         C22.8   \n",
       "http://orkg.org/orkg/resource/R162790 Shaft with bearing seat         C22.8   \n",
       "http://orkg.org/orkg/resource/R171849 Shaft with bearing seat       20MnCr5   \n",
       "http://orkg.org/orkg/resource/R172160 Shaft with bearing seat       20MnCr5   \n",
       "http://orkg.org/orkg/resource/R172247 Shaft with bearing seat       20MnCr5   \n",
       "http://orkg.org/orkg/resource/R172322 Shaft with bearing seat       20MnCr5   \n",
       "\n",
       "                                                                              \\\n",
       "Layer                                                         Cladding layer   \n",
       "Contribution URL                      Component                                \n",
       "http://orkg.org/orkg/resource/R145728 Bearing washer                  100Cr6   \n",
       "http://orkg.org/orkg/resource/R145731 Bearing washer                   41Cr4   \n",
       "http://orkg.org/orkg/resource/R145734 Bearing washer              X45CrSi9-3   \n",
       "http://orkg.org/orkg/resource/R162733 Shaft with bearing seat   Delcrome 253   \n",
       "http://orkg.org/orkg/resource/R162788 Shaft with bearing seat     Stellite 6   \n",
       "http://orkg.org/orkg/resource/R162790 Shaft with bearing seat         100Cr6   \n",
       "http://orkg.org/orkg/resource/R171849 Shaft with bearing seat     X45CrSi9-3   \n",
       "http://orkg.org/orkg/resource/R172160 Shaft with bearing seat     X45CrSi9-3   \n",
       "http://orkg.org/orkg/resource/R172247 Shaft with bearing seat     X45CrSi9-3   \n",
       "http://orkg.org/orkg/resource/R172322 Shaft with bearing seat     X45CrSi9-3   \n",
       "\n",
       "                                                                             \n",
       "Layer                                                             top layer  \n",
       "Contribution URL                      Component                              \n",
       "http://orkg.org/orkg/resource/R145728 Bearing washer                    NaN  \n",
       "http://orkg.org/orkg/resource/R145731 Bearing washer                    NaN  \n",
       "http://orkg.org/orkg/resource/R145734 Bearing washer                    NaN  \n",
       "http://orkg.org/orkg/resource/R162733 Shaft with bearing seat  Delcrome 253  \n",
       "http://orkg.org/orkg/resource/R162788 Shaft with bearing seat    Stellite 6  \n",
       "http://orkg.org/orkg/resource/R162790 Shaft with bearing seat        100Cr6  \n",
       "http://orkg.org/orkg/resource/R171849 Shaft with bearing seat    X45CrSi9-3  \n",
       "http://orkg.org/orkg/resource/R172160 Shaft with bearing seat    X45CrSi9-3  \n",
       "http://orkg.org/orkg/resource/R172247 Shaft with bearing seat    X45CrSi9-3  \n",
       "http://orkg.org/orkg/resource/R172322 Shaft with bearing seat    X45CrSi9-3  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "material_data = tf_data.loc[:,['contrib_url','layer', 'material', 'component']].drop_duplicates()\n",
    "material_data.columns = ['Contribution URL', 'Layer', 'Material', 'Component']\n",
    "material_table = material_data.pivot(index=['Contribution URL', 'Component'], columns='Layer')\n",
    "#dfi.export(material_table, 'Images/Material combinations used for the manufacturing of hybrid components.png')\n",
    "material_table"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The table [\"Material combinations used for the manufacturing of hybrid components\"](Images/Material%20combinations%20used%20for%20the%20manufacturing%20of%20hybrid%20components.png) shows that a total of three different material combinations were tested for the bearing washer and four different combinations for the shaft with bearing seat. C22.8 is a mild steel and was most frequently used as the base material. However, four variants were also manufactured with 20MnCr5 case-hardening steel as the base material. X45CrSi9-3 and 100Cr6 were used as cladding material for both components, while 41Cr4 or Delcrome and Stellite 6 were only explicitly investigated for one component. Further research potential can be derived from these observations. On the one hand, the influence of the different component geometry and the different process chains on components of the same material combination can be investigated, for example by comparing the properties of the resources [R145728](http://orkg.org/orkg/resource/R145728) and [R162790](http://orkg.org/orkg/resource/R162790). On the other hand, the material spectrum of a component can be expanded to include material combinations that have not yet been investigated, such as C22.8 and Stellite 6 for the bearing washer.\n",
    "\n",
    "Remark: The data for this answer comes from 10 TFPCs of 5 publications."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='q3'></a>\n",
    "### 3. Competency Question: How do the steps of the Tailored Forming Process Chain affect the hardness of the cladding layer of hybrid components?\n",
    "The hardness of the cladding layer is an important measure for assessing the suitability of the cladding for mechanically or tribologically highly stressed component areas. For this reason, the question arises as to how the individual steps of the Tailored Forming Process Chain affect the hardness in the cladding layer of a hybrid component.\n",
    "\n",
    "[Back to top](#top)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1600x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tf_data['calc_value'] = tf_data['num_value'].fillna(tf_data['avg_range'])\n",
    "hardness_data = tf_data.query('quality == \"Hardness\" and (layer == \"Cladding layer\" or layer == \"top layer\")')[['contrib_url','step_number', 'step_name', 'calc_value', 'unit']]\n",
    "grouped_hardness = hardness_data.groupby('contrib_url')\n",
    "\n",
    "#display(hardness_data)\n",
    "\n",
    "fig, ax1= plt.subplots(1)\n",
    "fig.set_size_inches(16, 8)\n",
    "\n",
    "lines = []\n",
    "for name, group in grouped_hardness:\n",
    "    #if (group['unit'][:1].item() != 'Gigapascal') :\n",
    "        line, = ax1.plot(group['step_number'], group['calc_value'], marker='o', linewidth=2.5, label=name+', ['+group['unit'][:1].item()+']')\n",
    "        lines.append(line)\n",
    "    #else:\n",
    "       # ax2.plot(group['step_number'], group['calc_value'], marker='o', linewidth=2.5, label=name+', ['+group['unit'][:1].item()+']')\n",
    "        \n",
    "#ax1.set_title('Hardness of the cladding layer of hybrid components along the Tailored Forming process chain')\n",
    "ax1.set_xticks(steps['step_number'])\n",
    "ax1.set_xticklabels(steps['step'], fontsize=16)\n",
    "ax1.set_xlabel('Steps of the Tailored Forming Process Chain', fontsize=18)\n",
    "ax1.set_ylabel('Hardness', fontsize=18)\n",
    "ax1.yaxis.set_tick_params(labelsize=16)\n",
    "#ax1.grid(False, axis='x')\n",
    "legend1 = ax1.legend(loc='center right', bbox_to_anchor=(1.05, 0.32), fontsize=14)\n",
    "legend1.set_title('TFPCs', prop={'size':16})\n",
    "\n",
    "lined = {}  # Will map legend lines to original lines.\n",
    "for legline, origline in zip(legend1.get_lines(), lines):\n",
    "    legline.set_picker(True)  # Enable picking on the legend line.\n",
    "    legline.set_pickradius(5)\n",
    "    lined[legline] = origline\n",
    "\n",
    "def on_pick(event):\n",
    "    # On the pick event, find the original line corresponding to the legend\n",
    "    # proxy line, and toggle its visibility.\n",
    "    legline = event.artist\n",
    "    origline = lined[legline]\n",
    "    visible = not origline.get_visible()\n",
    "    origline.set_visible(visible)\n",
    "    # Change the alpha on the line in the legend so we can see what lines\n",
    "    # have been toggled.\n",
    "    legline.set_alpha(1.0 if visible else 0.2)\n",
    "    fig.canvas.draw()\n",
    "    \n",
    "#ax2.set_title('Hardness of the cladding layer of hybrid components along the Tailored Forming process chain')\n",
    "#ax2.set_xticks(steps['step_number'])\n",
    "#ax2.set_xticklabels(steps['step'])\n",
    "#ax2.set_xlabel('Steps of the Tailored Forming process chain')\n",
    "#ax2.set_ylabel('Hardness [GPa]')\n",
    "#legend2 = ax2.legend(loc='lower right')\n",
    "\n",
    "plt.connect('pick_event', on_pick)\n",
    "plt.savefig('Images/Hardness in the cladding layer.png', dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In figure [\"Hardness of the cladding layer of hybrid components per step of the TFPC\"](Images/Hardness%20in%20the%20cladding%20layer.png), we show how the hardness of the cladding layer changes in the steps due to the manufacturing methods used. While the publications report the individual values in various places, none of the publications contain a diagram of the change in the hardness along the TFPC steps similar to the one we created. This figure makes it possible to compare the different TFPCs and see how they affect the hardness. Based on this figure, we observe that none of the publications reports the hardness in all steps of the TFPC. While all publications report the hardness in the deposition welding step and six publications in the hot forming step, only four respectively three publications report the hardness in the cooling respectively heat treatment step. No publication reports the hardness after the machining step, as machining does not influence the hardness. In the selected publications, the authors usually report the hardness in the unit Vickers Pyramid Number (HV). Only in one publication, the authors used the unit Gigapascal (GPa). The heat treatment led to an increase in the hardness in all reported cases. The influence of hot forming on hardness depends on the cladding layer material and the specific manufacturing method used for hot forming. Hot forming can lead to an increase or a decrease in hardness compared to the state after deposition welding.\n",
    "\n",
    "Remark: The data for this answer comes from 10 TFPCs of 5 publications."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='q4'></a>\n",
    "### 4. Competency Question: In which material combinations and steps of the Tailored Forming Process Chain can defects occur in hybrid components?\n",
    "Various defects, such as pores and cracks, can occur during the manufacturing of hybrid components. It is important to know at which steps and material combinations these defects occur to assess the applicability of the Tailored Forming process chain for component manufacturing and to identify optimization potential.\n",
    "\n",
    "[Back to top](#top)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Contribution URL</th>\n",
       "      <th>Component</th>\n",
       "      <th>Layer with Defect</th>\n",
       "      <th>Material with Defect</th>\n",
       "      <th>Other Layer</th>\n",
       "      <th>Other Material</th>\n",
       "      <th>Defect</th>\n",
       "      <th>Step Name</th>\n",
       "      <th>Step Number</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>http://orkg.org/orkg/resource/R145728</td>\n",
       "      <td>Bearing washer</td>\n",
       "      <td>Cladding layer</td>\n",
       "      <td>100Cr6</td>\n",
       "      <td>Base material</td>\n",
       "      <td>C22.8</td>\n",
       "      <td>Pores</td>\n",
       "      <td>Machining</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>http://orkg.org/orkg/resource/R145731</td>\n",
       "      <td>Bearing washer</td>\n",
       "      <td>Cladding layer</td>\n",
       "      <td>41Cr4</td>\n",
       "      <td>Base material</td>\n",
       "      <td>C22.8</td>\n",
       "      <td>Pores</td>\n",
       "      <td>Deposition welding</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>http://orkg.org/orkg/resource/R145731</td>\n",
       "      <td>Bearing washer</td>\n",
       "      <td>Cladding layer</td>\n",
       "      <td>41Cr4</td>\n",
       "      <td>Base material</td>\n",
       "      <td>C22.8</td>\n",
       "      <td>Pores</td>\n",
       "      <td>Hot forming</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>http://orkg.org/orkg/resource/R171849</td>\n",
       "      <td>Shaft with bearing seat</td>\n",
       "      <td>Base material</td>\n",
       "      <td>20MnCr5</td>\n",
       "      <td>Cladding layer</td>\n",
       "      <td>X45CrSi9-3</td>\n",
       "      <td>Mannesmann effect</td>\n",
       "      <td>Cooling</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>http://orkg.org/orkg/resource/R171849</td>\n",
       "      <td>Shaft with bearing seat</td>\n",
       "      <td>Base material</td>\n",
       "      <td>20MnCr5</td>\n",
       "      <td>top layer</td>\n",
       "      <td>X45CrSi9-3</td>\n",
       "      <td>Mannesmann effect</td>\n",
       "      <td>Cooling</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>http://orkg.org/orkg/resource/R172160</td>\n",
       "      <td>Shaft with bearing seat</td>\n",
       "      <td>Base material</td>\n",
       "      <td>20MnCr5</td>\n",
       "      <td>Cladding layer</td>\n",
       "      <td>X45CrSi9-3</td>\n",
       "      <td>Mannesmann effect</td>\n",
       "      <td>Cooling</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>http://orkg.org/orkg/resource/R172160</td>\n",
       "      <td>Shaft with bearing seat</td>\n",
       "      <td>Base material</td>\n",
       "      <td>20MnCr5</td>\n",
       "      <td>top layer</td>\n",
       "      <td>X45CrSi9-3</td>\n",
       "      <td>Mannesmann effect</td>\n",
       "      <td>Cooling</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>http://orkg.org/orkg/resource/R172247</td>\n",
       "      <td>Shaft with bearing seat</td>\n",
       "      <td>Base material</td>\n",
       "      <td>20MnCr5</td>\n",
       "      <td>Cladding layer</td>\n",
       "      <td>X45CrSi9-3</td>\n",
       "      <td>Mannesmann effect</td>\n",
       "      <td>Cooling</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>http://orkg.org/orkg/resource/R172247</td>\n",
       "      <td>Shaft with bearing seat</td>\n",
       "      <td>Base material</td>\n",
       "      <td>20MnCr5</td>\n",
       "      <td>top layer</td>\n",
       "      <td>X45CrSi9-3</td>\n",
       "      <td>Mannesmann effect</td>\n",
       "      <td>Cooling</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>http://orkg.org/orkg/resource/R172322</td>\n",
       "      <td>Shaft with bearing seat</td>\n",
       "      <td>Base material</td>\n",
       "      <td>20MnCr5</td>\n",
       "      <td>Cladding layer</td>\n",
       "      <td>X45CrSi9-3</td>\n",
       "      <td>Mannesmann effect</td>\n",
       "      <td>Cooling</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>http://orkg.org/orkg/resource/R172322</td>\n",
       "      <td>Shaft with bearing seat</td>\n",
       "      <td>Base material</td>\n",
       "      <td>20MnCr5</td>\n",
       "      <td>top layer</td>\n",
       "      <td>X45CrSi9-3</td>\n",
       "      <td>Mannesmann effect</td>\n",
       "      <td>Cooling</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         Contribution URL                Component  \\\n",
       "0   http://orkg.org/orkg/resource/R145728           Bearing washer   \n",
       "9   http://orkg.org/orkg/resource/R145731           Bearing washer   \n",
       "15  http://orkg.org/orkg/resource/R145731           Bearing washer   \n",
       "24  http://orkg.org/orkg/resource/R171849  Shaft with bearing seat   \n",
       "27  http://orkg.org/orkg/resource/R171849  Shaft with bearing seat   \n",
       "33  http://orkg.org/orkg/resource/R172160  Shaft with bearing seat   \n",
       "36  http://orkg.org/orkg/resource/R172160  Shaft with bearing seat   \n",
       "42  http://orkg.org/orkg/resource/R172247  Shaft with bearing seat   \n",
       "45  http://orkg.org/orkg/resource/R172247  Shaft with bearing seat   \n",
       "51  http://orkg.org/orkg/resource/R172322  Shaft with bearing seat   \n",
       "54  http://orkg.org/orkg/resource/R172322  Shaft with bearing seat   \n",
       "\n",
       "   Layer with Defect Material with Defect     Other Layer Other Material  \\\n",
       "0     Cladding layer               100Cr6   Base material          C22.8   \n",
       "9     Cladding layer                41Cr4   Base material          C22.8   \n",
       "15    Cladding layer                41Cr4   Base material          C22.8   \n",
       "24     Base material              20MnCr5  Cladding layer     X45CrSi9-3   \n",
       "27     Base material              20MnCr5       top layer     X45CrSi9-3   \n",
       "33     Base material              20MnCr5  Cladding layer     X45CrSi9-3   \n",
       "36     Base material              20MnCr5       top layer     X45CrSi9-3   \n",
       "42     Base material              20MnCr5  Cladding layer     X45CrSi9-3   \n",
       "45     Base material              20MnCr5       top layer     X45CrSi9-3   \n",
       "51     Base material              20MnCr5  Cladding layer     X45CrSi9-3   \n",
       "54     Base material              20MnCr5       top layer     X45CrSi9-3   \n",
       "\n",
       "               Defect           Step Name  Step Number  \n",
       "0               Pores           Machining            5  \n",
       "9               Pores  Deposition welding            1  \n",
       "15              Pores         Hot forming            2  \n",
       "24  Mannesmann effect             Cooling            3  \n",
       "27  Mannesmann effect             Cooling            3  \n",
       "33  Mannesmann effect             Cooling            3  \n",
       "36  Mannesmann effect             Cooling            3  \n",
       "42  Mannesmann effect             Cooling            3  \n",
       "45  Mannesmann effect             Cooling            3  \n",
       "51  Mannesmann effect             Cooling            3  \n",
       "54  Mannesmann effect             Cooling            3  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "defects_data = tf_data[((tf_data.quality == 'Pores') | (tf_data.quality == 'Mannesmann effect') | (tf_data.quality == 'Cracks')) & (tf_data.textual_value == 'true')][['contrib_url', 'component', 'layer', 'material', 'quality', 'step_name', 'step_number']]\n",
    "defects_data_complete = defects_data.merge(tf_data, on=['contrib_url', 'step_name'], how='left')[['contrib_url', 'component_x', 'layer_x', 'material_x', 'layer_y', 'material_y', 'quality_x', 'step_name', 'step_number_x']].drop_duplicates()\n",
    "\n",
    "to_delete = defects_data_complete[defects_data_complete.layer_x == defects_data_complete.layer_y]\n",
    "final_defect_df = defects_data_complete.drop(to_delete.index, inplace=False)\n",
    "final_defect_df.columns = ['Contribution URL', 'Component', 'Layer with Defect', 'Material with Defect', 'Other Layer', 'Other Material', 'Defect', 'Step Name', 'Step Number']\n",
    "#dfi.export(final_defect_df, 'Images/Defects in material combinations and steps.png')\n",
    "final_defect_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Table [\"Defects in material combinations and steps\"](Images/Defects%20in%20material%20combinations%20and%20steps.png) shows various defects detected at different steps in the process chain. The Mannesmann effect occurred after cooling following cross-wedge rolling when the material combination 20MnCr5/X45CrSi9-3 was used. With other material combinations, no defects occurred during the production of the shaft. Pores occurred in the bearing washer. These were detected after deposition welding (41Cr4 cladding) and were still present after hot forming. With the 100Cr6 cladding, the pores were detected after machining. The suitability of the material combinations for the Tailored Forming Process Chain can be assessed based on the overview. The processes responsible for the formation of defects can be identified.\n",
    "\n",
    "Remark: The data for this answer comes from 6 TFPCs of 3 publications."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='q5'></a>\n",
    "### 5. Competency Question: What service lives can be achieved for hybrid components in the Tailored Forming Process Chain?\n",
    "An important criterion for components subjected to rolling loads is the service life, which is determined on test rigs. The service life depends on the materials used and other parameters such as hardness and number of defects.\n",
    "\n",
    "[Back to top](#top)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\KarrasO\\Anaconda3\\Lib\\site-packages\\seaborn\\axisgrid.py:118: UserWarning: The figure layout has changed to tight\n",
      "  self._figure.tight_layout(*args, **kwargs)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fatigue_data = tf_data[(tf_data.quality == 'Fatigue') & (tf_data.step_number == 5)][['contrib_url', 'component', 'calc_value', 'unit']]\n",
    "#display(fatigue_data)\n",
    "sns.set_style('whitegrid')\n",
    "sns.set_context('notebook')\n",
    "\n",
    "g = sns.catplot(x='calc_value', y='contrib_url', data=fatigue_data, kind='bar', height=5, aspect=1.8, legend_out=True)\n",
    "#g.fig.suptitle('Service life of hybrid components', y=1.0)\n",
    "g.set(xlabel='Service life [h]', ylabel='TFPC reporting on the service life\\n of a hybrid component')\n",
    "plt.savefig('Images/Service life of hybrid components.png', dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Figure [\"Service lives of hybrid components manufactured in TFPCs\"](Images/Service%20life%20of%20hybrid%20components.png) presents the reported service lives of different hybrid components. In total, only three out of the ten TFPCs report a service life for the manufactured hybrid component, which substantiates that this information and question are specific. We observe that there is one TFPC that has led to more than three times higher service life for the manufactured hybrid component than the other two TFPCs. This finding highlights the usefulness of this type of analysis, as it helps not only to compare TFPCs with each other, but also to find TFPCs with specific results, such as a manufactured hybrid component with a long service life. Based on this finding, researchers can take a closer look at the associated publication to better understand how this TFPC could lead to this long service life.\n",
    "\n",
    "Remark: The data for this answer comes from 3 TFPCs of 3 publications."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='q6'></a>\n",
    "### 6. Competency Question: Which manufacturing methods are used in the individual steps of the Tailored Forming Process Chain to manufacture the respective hybrid component?\n",
    "In addition to the higher-level steps of the Tailored Forming Process Chain, e.g., Hot Forming, it is also of interest to know exactly which manufacturing methods were used in the individual steps to manufacture the hybrid components. This overview therefore shows in detail the manufacturing methods used in each step used and in which order.\n",
    "\n",
    "[Back to top](#top)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
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       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr:last-of-type th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>Step number</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>Step name</th>\n",
       "      <th>Deposition welding</th>\n",
       "      <th>Hot forming</th>\n",
       "      <th>Cooling</th>\n",
       "      <th>Heat treatment</th>\n",
       "      <th>Machining</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tailored Forming Process Chain (TFPC)</th>\n",
       "      <th>Hybird component</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>http://orkg.org/orkg/resource/R145728</th>\n",
       "      <th>Bearing washer</th>\n",
       "      <td>Plasma-transferred arc welding</td>\n",
       "      <td>Upsetting</td>\n",
       "      <td>--</td>\n",
       "      <td>Hardening</td>\n",
       "      <td>Grinding</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>http://orkg.org/orkg/resource/R145731</th>\n",
       "      <th>Bearing washer</th>\n",
       "      <td>Plasma-transferred arc welding</td>\n",
       "      <td>Die forging</td>\n",
       "      <td>--</td>\n",
       "      <td>Hardening</td>\n",
       "      <td>Turning</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>http://orkg.org/orkg/resource/R145734</th>\n",
       "      <th>Bearing washer</th>\n",
       "      <td>Laser hot-wire cladding</td>\n",
       "      <td>Die forging</td>\n",
       "      <td>--</td>\n",
       "      <td>Hardening</td>\n",
       "      <td>Turning</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>http://orkg.org/orkg/resource/R162733</th>\n",
       "      <th>Shaft with bearing seat</th>\n",
       "      <td>Plasma-transferred arc welding</td>\n",
       "      <td>Cross-wedge-rolling</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>http://orkg.org/orkg/resource/R162788</th>\n",
       "      <th>Shaft with bearing seat</th>\n",
       "      <td>Plasma-transferred arc welding</td>\n",
       "      <td>Cross-wedge-rolling</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>http://orkg.org/orkg/resource/R162790</th>\n",
       "      <th>Shaft with bearing seat</th>\n",
       "      <td>Plasma-transferred arc welding</td>\n",
       "      <td>Cross-wedge-rolling</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>http://orkg.org/orkg/resource/R171849</th>\n",
       "      <th>Shaft with bearing seat</th>\n",
       "      <td>Laser hot-wire cladding</td>\n",
       "      <td>Cross-wedge-rolling</td>\n",
       "      <td>Air flow</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>http://orkg.org/orkg/resource/R172160</th>\n",
       "      <th>Shaft with bearing seat</th>\n",
       "      <td>Laser hot-wire cladding</td>\n",
       "      <td>Cross-wedge-rolling</td>\n",
       "      <td>Water bath</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>http://orkg.org/orkg/resource/R172247</th>\n",
       "      <th>Shaft with bearing seat</th>\n",
       "      <td>Laser hot-wire cladding</td>\n",
       "      <td>Cross-wedge-rolling</td>\n",
       "      <td>Air flow</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>http://orkg.org/orkg/resource/R172322</th>\n",
       "      <th>Shaft with bearing seat</th>\n",
       "      <td>Laser hot-wire cladding</td>\n",
       "      <td>Cross-wedge-rolling</td>\n",
       "      <td>Water bath</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Step number                                                                                 1  \\\n",
       "Step name                                                                  Deposition welding   \n",
       "Tailored Forming Process Chain (TFPC) Hybird component                                          \n",
       "http://orkg.org/orkg/resource/R145728 Bearing washer           Plasma-transferred arc welding   \n",
       "http://orkg.org/orkg/resource/R145731 Bearing washer           Plasma-transferred arc welding   \n",
       "http://orkg.org/orkg/resource/R145734 Bearing washer                  Laser hot-wire cladding   \n",
       "http://orkg.org/orkg/resource/R162733 Shaft with bearing seat  Plasma-transferred arc welding   \n",
       "http://orkg.org/orkg/resource/R162788 Shaft with bearing seat  Plasma-transferred arc welding   \n",
       "http://orkg.org/orkg/resource/R162790 Shaft with bearing seat  Plasma-transferred arc welding   \n",
       "http://orkg.org/orkg/resource/R171849 Shaft with bearing seat         Laser hot-wire cladding   \n",
       "http://orkg.org/orkg/resource/R172160 Shaft with bearing seat         Laser hot-wire cladding   \n",
       "http://orkg.org/orkg/resource/R172247 Shaft with bearing seat         Laser hot-wire cladding   \n",
       "http://orkg.org/orkg/resource/R172322 Shaft with bearing seat         Laser hot-wire cladding   \n",
       "\n",
       "Step number                                                                      2  \\\n",
       "Step name                                                              Hot forming   \n",
       "Tailored Forming Process Chain (TFPC) Hybird component                               \n",
       "http://orkg.org/orkg/resource/R145728 Bearing washer                     Upsetting   \n",
       "http://orkg.org/orkg/resource/R145731 Bearing washer                   Die forging   \n",
       "http://orkg.org/orkg/resource/R145734 Bearing washer                   Die forging   \n",
       "http://orkg.org/orkg/resource/R162733 Shaft with bearing seat  Cross-wedge-rolling   \n",
       "http://orkg.org/orkg/resource/R162788 Shaft with bearing seat  Cross-wedge-rolling   \n",
       "http://orkg.org/orkg/resource/R162790 Shaft with bearing seat  Cross-wedge-rolling   \n",
       "http://orkg.org/orkg/resource/R171849 Shaft with bearing seat  Cross-wedge-rolling   \n",
       "http://orkg.org/orkg/resource/R172160 Shaft with bearing seat  Cross-wedge-rolling   \n",
       "http://orkg.org/orkg/resource/R172247 Shaft with bearing seat  Cross-wedge-rolling   \n",
       "http://orkg.org/orkg/resource/R172322 Shaft with bearing seat  Cross-wedge-rolling   \n",
       "\n",
       "Step number                                                             3  \\\n",
       "Step name                                                         Cooling   \n",
       "Tailored Forming Process Chain (TFPC) Hybird component                      \n",
       "http://orkg.org/orkg/resource/R145728 Bearing washer                   --   \n",
       "http://orkg.org/orkg/resource/R145731 Bearing washer                   --   \n",
       "http://orkg.org/orkg/resource/R145734 Bearing washer                   --   \n",
       "http://orkg.org/orkg/resource/R162733 Shaft with bearing seat          --   \n",
       "http://orkg.org/orkg/resource/R162788 Shaft with bearing seat          --   \n",
       "http://orkg.org/orkg/resource/R162790 Shaft with bearing seat          --   \n",
       "http://orkg.org/orkg/resource/R171849 Shaft with bearing seat    Air flow   \n",
       "http://orkg.org/orkg/resource/R172160 Shaft with bearing seat  Water bath   \n",
       "http://orkg.org/orkg/resource/R172247 Shaft with bearing seat    Air flow   \n",
       "http://orkg.org/orkg/resource/R172322 Shaft with bearing seat  Water bath   \n",
       "\n",
       "Step number                                                                4  \\\n",
       "Step name                                                     Heat treatment   \n",
       "Tailored Forming Process Chain (TFPC) Hybird component                         \n",
       "http://orkg.org/orkg/resource/R145728 Bearing washer               Hardening   \n",
       "http://orkg.org/orkg/resource/R145731 Bearing washer               Hardening   \n",
       "http://orkg.org/orkg/resource/R145734 Bearing washer               Hardening   \n",
       "http://orkg.org/orkg/resource/R162733 Shaft with bearing seat             --   \n",
       "http://orkg.org/orkg/resource/R162788 Shaft with bearing seat             --   \n",
       "http://orkg.org/orkg/resource/R162790 Shaft with bearing seat             --   \n",
       "http://orkg.org/orkg/resource/R171849 Shaft with bearing seat             --   \n",
       "http://orkg.org/orkg/resource/R172160 Shaft with bearing seat             --   \n",
       "http://orkg.org/orkg/resource/R172247 Shaft with bearing seat             --   \n",
       "http://orkg.org/orkg/resource/R172322 Shaft with bearing seat             --   \n",
       "\n",
       "Step number                                                           5  \n",
       "Step name                                                     Machining  \n",
       "Tailored Forming Process Chain (TFPC) Hybird component                   \n",
       "http://orkg.org/orkg/resource/R145728 Bearing washer           Grinding  \n",
       "http://orkg.org/orkg/resource/R145731 Bearing washer            Turning  \n",
       "http://orkg.org/orkg/resource/R145734 Bearing washer            Turning  \n",
       "http://orkg.org/orkg/resource/R162733 Shaft with bearing seat        --  \n",
       "http://orkg.org/orkg/resource/R162788 Shaft with bearing seat        --  \n",
       "http://orkg.org/orkg/resource/R162790 Shaft with bearing seat        --  \n",
       "http://orkg.org/orkg/resource/R171849 Shaft with bearing seat        --  \n",
       "http://orkg.org/orkg/resource/R172160 Shaft with bearing seat        --  \n",
       "http://orkg.org/orkg/resource/R172247 Shaft with bearing seat        --  \n",
       "http://orkg.org/orkg/resource/R172322 Shaft with bearing seat        --  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "method_data = tf_data.loc[:,['contrib_url','component', 'step_number', 'step_name', 'manufacture_method']].drop_duplicates().sort_values('step_number')\n",
    "method_data.columns = ['Tailored Forming Process Chain (TFPC)', 'Hybird component', 'Step number', 'Step name', 'Manufacturing method']\n",
    "mehtod_table = method_data.pivot(index=['Tailored Forming Process Chain (TFPC)', 'Hybird component'], columns=['Step number', 'Step name'], values='Manufacturing method').fillna('--', inplace=False)\n",
    "#dfi.export(mehtod_table, 'Images/Manufacturing methods used in each step.png')\n",
    "mehtod_table"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For each of the ten TFPCs, the figure [\"Manufacturing methods per step of the TFPCs\"](Images/Manufacturing%20methods%20used%20in%20each%20step.png) shows the hybrid component and the manufacturing methods used in each step of the respective TFPC. While all publications report some details on the manufacturing methods used, none of them provide details on all steps of the TFPC. First, we observe that a manufacturing method is always reported for the deposition welding and hot forming step. In particular, plasma-transferred arc welding and laser hot-wire cladding are each used five times as a manufacturing method for deposition welding. Three different manufacturing methods are used for hot forming, with cross-wedge rolling being used most frequently (seven times). For the subsequent steps of the TFPCs, information about the manufacturing method used is often missing in the associated publications. \n",
    "\n",
    "After consulting with the domain experts who asked the competency questions, we found that they interpreted the missing data as follows: 1) A missing manufacturing method for the cooling step is interpreted as air cooling, and 2) A missing manufacturing method for the subsequent heat treatment and machining steps are interpreted to mean that the steps were not performed. This interpretation is critical as it can lead to incorrect conclusions. As the data is stored in the ORKG, we follow the open-world assumption which means that missing information is interpreted as unknown information and not as negative information, such as steps not performed. For this reason, the domain experts' interpretation of the missing data is not well-founded, as there is no evidence in the publications and therefore may lead to incorrect conclusions. This way of interpreting missing data shows how important it is for engineers to document all steps of an engineering (research) process in detail to guarantee the trustworthiness of published results and their reproducibility.\n",
    "\n",
    "Remark: The data of this answer comes from 10 TFPCs of 5 publications."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='q7'></a>\n",
    "### 7. Competency Question: How often are certain manufacturing methods used in total in all described Tailored Forming Process Chains?\n",
    "The overview of the manufacturing methods used and their frequency makes it possbile to determine previous research priorities and identify research gaps.\n",
    "\n",
    "[Back to top](#top)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\KarrasO\\Anaconda3\\Lib\\site-packages\\seaborn\\axisgrid.py:118: UserWarning: The figure layout has changed to tight\n",
      "  self._figure.tight_layout(*args, **kwargs)\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1150x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.catplot(y='Manufacturing method', data=method_data, kind='count', height=5, aspect=2.3, legend_out=True)\n",
    "#g.fig.suptitle('Frequency of the manufacturing methods used in total in all described Tailoted Forming process chains', y=1.0)\n",
    "g.set(xlabel='Frequency of manufacturing methods used', ylabel='Manufacturing methods')\n",
    "plt.savefig('Images/Frequency of manufacturing methods used.png', dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Figure [\"Frequency of manufacturing methods used\"](Images/Frequency%20of%20manufacturing%20methods%20used.png) shows the number of manufacturing methods used for all TFPCs of the 5 publications. In the publications reviewed, cross-wedge rolling was examined most frequently, followed by the two cladding processes laser hot-wire cladding and plasma-transferred arc welding. The fewest findings are available on the later process steps in the Tailored Forming Process Chain, such as grinding and turning. Based on the analysis, it can be determined that in the publications examined, cross-wedge rolling was most frequently used as a forming process and only a few studies on die forging and upsetting are available. In addition, the entire process chain was only completed in a few cases, so that there is a need for further investigations.\n",
    "\n",
    "Remark: The data of this answer comes from 10 TFPCs of 5 publications."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='q8'></a>\n",
    "### 8. Competency Question: Which microstructures are present in hybrid components after the steps of the Tailored Forming Process Chain?\n",
    "After each step of the Tailored Forming Process Chain, changes in the microstructure may occur due to the manufacturing method used. Knowledge of these microstructural changes is necessary for the design of a process chain. An overview of the microstructure in the cladding layer and in the base material after the steps of the respective Tailored Forming process Chain is given.\n",
    "\n",
    "[Back to top](#top)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Contribution URL</th>\n",
       "      <th>Component</th>\n",
       "      <th>Layer</th>\n",
       "      <th>Material</th>\n",
       "      <th>Microstructure</th>\n",
       "      <th>Step Name</th>\n",
       "      <th>Step Number</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>http://orkg.org/orkg/resource/R145728</td>\n",
       "      <td>Bearing washer</td>\n",
       "      <td>Base material</td>\n",
       "      <td>C22.8</td>\n",
       "      <td>ferritic-pearlitic</td>\n",
       "      <td>Deposition welding</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>http://orkg.org/orkg/resource/R145728</td>\n",
       "      <td>Bearing washer</td>\n",
       "      <td>Cladding layer</td>\n",
       "      <td>100Cr6</td>\n",
       "      <td>pearlitic</td>\n",
       "      <td>Deposition welding</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>http://orkg.org/orkg/resource/R145728</td>\n",
       "      <td>Bearing washer</td>\n",
       "      <td>Base material</td>\n",
       "      <td>C22.8</td>\n",
       "      <td>ferritic-pearlitic</td>\n",
       "      <td>Hot forming</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>http://orkg.org/orkg/resource/R145728</td>\n",
       "      <td>Bearing washer</td>\n",
       "      <td>Cladding layer</td>\n",
       "      <td>100Cr6</td>\n",
       "      <td>pearlitic</td>\n",
       "      <td>Hot forming</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>http://orkg.org/orkg/resource/R145728</td>\n",
       "      <td>Bearing washer</td>\n",
       "      <td>Base material</td>\n",
       "      <td>C22.8</td>\n",
       "      <td>ferritic-pearlitic and martensite</td>\n",
       "      <td>Heat treatment</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>http://orkg.org/orkg/resource/R145728</td>\n",
       "      <td>Bearing washer</td>\n",
       "      <td>Cladding layer</td>\n",
       "      <td>100Cr6</td>\n",
       "      <td>martensite</td>\n",
       "      <td>Heat treatment</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>http://orkg.org/orkg/resource/R145731</td>\n",
       "      <td>Bearing washer</td>\n",
       "      <td>Base material</td>\n",
       "      <td>C22.8</td>\n",
       "      <td>ferritic-pearlitic</td>\n",
       "      <td>Deposition welding</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>http://orkg.org/orkg/resource/R145731</td>\n",
       "      <td>Bearing washer</td>\n",
       "      <td>Cladding layer</td>\n",
       "      <td>41Cr4</td>\n",
       "      <td>pearlitic</td>\n",
       "      <td>Deposition welding</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>http://orkg.org/orkg/resource/R145731</td>\n",
       "      <td>Bearing washer</td>\n",
       "      <td>Base material</td>\n",
       "      <td>C22.8</td>\n",
       "      <td>ferritic-pearlitic</td>\n",
       "      <td>Hot forming</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>http://orkg.org/orkg/resource/R145731</td>\n",
       "      <td>Bearing washer</td>\n",
       "      <td>Cladding layer</td>\n",
       "      <td>41Cr4</td>\n",
       "      <td>ferritic-pearlitic</td>\n",
       "      <td>Hot forming</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>http://orkg.org/orkg/resource/R145731</td>\n",
       "      <td>Bearing washer</td>\n",
       "      <td>Base material</td>\n",
       "      <td>C22.8</td>\n",
       "      <td>martensite</td>\n",
       "      <td>Heat treatment</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>http://orkg.org/orkg/resource/R145731</td>\n",
       "      <td>Bearing washer</td>\n",
       "      <td>Cladding layer</td>\n",
       "      <td>41Cr4</td>\n",
       "      <td>martensite</td>\n",
       "      <td>Heat treatment</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>http://orkg.org/orkg/resource/R162733</td>\n",
       "      <td>Shaft with bearing seat</td>\n",
       "      <td>Base material</td>\n",
       "      <td>C22.8</td>\n",
       "      <td>ferritic</td>\n",
       "      <td>Deposition welding</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>http://orkg.org/orkg/resource/R162733</td>\n",
       "      <td>Shaft with bearing seat</td>\n",
       "      <td>Cladding layer</td>\n",
       "      <td>Delcrome 253</td>\n",
       "      <td>The used etching of 2% nitric acid is not able...</td>\n",
       "      <td>Deposition welding</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>http://orkg.org/orkg/resource/R162733</td>\n",
       "      <td>Shaft with bearing seat</td>\n",
       "      <td>Base material</td>\n",
       "      <td>C22.8</td>\n",
       "      <td>ferritic-pearlitic</td>\n",
       "      <td>Hot forming</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>http://orkg.org/orkg/resource/R162733</td>\n",
       "      <td>Shaft with bearing seat</td>\n",
       "      <td>top layer</td>\n",
       "      <td>Delcrome 253</td>\n",
       "      <td>The used etching of 2% nitric acid is not able...</td>\n",
       "      <td>Hot forming</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>http://orkg.org/orkg/resource/R162788</td>\n",
       "      <td>Shaft with bearing seat</td>\n",
       "      <td>Base material</td>\n",
       "      <td>C22.8</td>\n",
       "      <td>ferritic</td>\n",
       "      <td>Deposition welding</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>http://orkg.org/orkg/resource/R162788</td>\n",
       "      <td>Shaft with bearing seat</td>\n",
       "      <td>Cladding layer</td>\n",
       "      <td>Stellite 6</td>\n",
       "      <td>The used etching of 2% nitric acid is not able...</td>\n",
       "      <td>Deposition welding</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>http://orkg.org/orkg/resource/R162788</td>\n",
       "      <td>Shaft with bearing seat</td>\n",
       "      <td>Base material</td>\n",
       "      <td>C22.8</td>\n",
       "      <td>ferritic-pearlitic</td>\n",
       "      <td>Hot forming</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>http://orkg.org/orkg/resource/R162788</td>\n",
       "      <td>Shaft with bearing seat</td>\n",
       "      <td>top layer</td>\n",
       "      <td>Stellite 6</td>\n",
       "      <td>The used etching of 2% nitric acid is not able...</td>\n",
       "      <td>Hot forming</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>http://orkg.org/orkg/resource/R162790</td>\n",
       "      <td>Shaft with bearing seat</td>\n",
       "      <td>Base material</td>\n",
       "      <td>C22.8</td>\n",
       "      <td>ferritic</td>\n",
       "      <td>Deposition welding</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>http://orkg.org/orkg/resource/R162790</td>\n",
       "      <td>Shaft with bearing seat</td>\n",
       "      <td>Cladding layer</td>\n",
       "      <td>100Cr6</td>\n",
       "      <td>pearlitic</td>\n",
       "      <td>Deposition welding</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>http://orkg.org/orkg/resource/R162790</td>\n",
       "      <td>Shaft with bearing seat</td>\n",
       "      <td>Base material</td>\n",
       "      <td>C22.8</td>\n",
       "      <td>ferritic-pearlitic</td>\n",
       "      <td>Hot forming</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>http://orkg.org/orkg/resource/R162790</td>\n",
       "      <td>Shaft with bearing seat</td>\n",
       "      <td>top layer</td>\n",
       "      <td>100Cr6</td>\n",
       "      <td>pearlitic</td>\n",
       "      <td>Hot forming</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>http://orkg.org/orkg/resource/R171849</td>\n",
       "      <td>Shaft with bearing seat</td>\n",
       "      <td>Base material</td>\n",
       "      <td>20MnCr5</td>\n",
       "      <td>ferritic-pearlitic</td>\n",
       "      <td>Deposition welding</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>http://orkg.org/orkg/resource/R171849</td>\n",
       "      <td>Shaft with bearing seat</td>\n",
       "      <td>Cladding layer</td>\n",
       "      <td>X45CrSi9-3</td>\n",
       "      <td>martensite and austenite</td>\n",
       "      <td>Deposition welding</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>http://orkg.org/orkg/resource/R171849</td>\n",
       "      <td>Shaft with bearing seat</td>\n",
       "      <td>Base material</td>\n",
       "      <td>20MnCr5</td>\n",
       "      <td>ferritic-pearlitic</td>\n",
       "      <td>Cooling</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>http://orkg.org/orkg/resource/R171849</td>\n",
       "      <td>Shaft with bearing seat</td>\n",
       "      <td>Cladding layer</td>\n",
       "      <td>X45CrSi9-3</td>\n",
       "      <td>martensite</td>\n",
       "      <td>Cooling</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>http://orkg.org/orkg/resource/R171849</td>\n",
       "      <td>Shaft with bearing seat</td>\n",
       "      <td>top layer</td>\n",
       "      <td>X45CrSi9-3</td>\n",
       "      <td>martensite</td>\n",
       "      <td>Cooling</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>http://orkg.org/orkg/resource/R172160</td>\n",
       "      <td>Shaft with bearing seat</td>\n",
       "      <td>Base material</td>\n",
       "      <td>20MnCr5</td>\n",
       "      <td>ferritic-pearlitic</td>\n",
       "      <td>Deposition welding</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>http://orkg.org/orkg/resource/R172160</td>\n",
       "      <td>Shaft with bearing seat</td>\n",
       "      <td>Cladding layer</td>\n",
       "      <td>X45CrSi9-3</td>\n",
       "      <td>martensite and austenite</td>\n",
       "      <td>Deposition welding</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>http://orkg.org/orkg/resource/R172160</td>\n",
       "      <td>Shaft with bearing seat</td>\n",
       "      <td>Base material</td>\n",
       "      <td>20MnCr5</td>\n",
       "      <td>martensite</td>\n",
       "      <td>Cooling</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>http://orkg.org/orkg/resource/R172160</td>\n",
       "      <td>Shaft with bearing seat</td>\n",
       "      <td>Cladding layer</td>\n",
       "      <td>X45CrSi9-3</td>\n",
       "      <td>martensite</td>\n",
       "      <td>Cooling</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>http://orkg.org/orkg/resource/R172160</td>\n",
       "      <td>Shaft with bearing seat</td>\n",
       "      <td>top layer</td>\n",
       "      <td>X45CrSi9-3</td>\n",
       "      <td>martensite</td>\n",
       "      <td>Cooling</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>http://orkg.org/orkg/resource/R172247</td>\n",
       "      <td>Shaft with bearing seat</td>\n",
       "      <td>Base material</td>\n",
       "      <td>20MnCr5</td>\n",
       "      <td>ferritic-pearlitic</td>\n",
       "      <td>Deposition welding</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>http://orkg.org/orkg/resource/R172247</td>\n",
       "      <td>Shaft with bearing seat</td>\n",
       "      <td>Cladding layer</td>\n",
       "      <td>X45CrSi9-3</td>\n",
       "      <td>martensite and austenite</td>\n",
       "      <td>Deposition welding</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>http://orkg.org/orkg/resource/R172247</td>\n",
       "      <td>Shaft with bearing seat</td>\n",
       "      <td>Base material</td>\n",
       "      <td>20MnCr5</td>\n",
       "      <td>ferritic-pearlitic</td>\n",
       "      <td>Cooling</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>http://orkg.org/orkg/resource/R172247</td>\n",
       "      <td>Shaft with bearing seat</td>\n",
       "      <td>Cladding layer</td>\n",
       "      <td>X45CrSi9-3</td>\n",
       "      <td>martensite</td>\n",
       "      <td>Cooling</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>http://orkg.org/orkg/resource/R172247</td>\n",
       "      <td>Shaft with bearing seat</td>\n",
       "      <td>top layer</td>\n",
       "      <td>X45CrSi9-3</td>\n",
       "      <td>martensite</td>\n",
       "      <td>Cooling</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>http://orkg.org/orkg/resource/R172322</td>\n",
       "      <td>Shaft with bearing seat</td>\n",
       "      <td>Base material</td>\n",
       "      <td>20MnCr5</td>\n",
       "      <td>ferritic-pearlitic</td>\n",
       "      <td>Deposition welding</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>http://orkg.org/orkg/resource/R172322</td>\n",
       "      <td>Shaft with bearing seat</td>\n",
       "      <td>Cladding layer</td>\n",
       "      <td>X45CrSi9-3</td>\n",
       "      <td>martensite and austenite</td>\n",
       "      <td>Deposition welding</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>http://orkg.org/orkg/resource/R172322</td>\n",
       "      <td>Shaft with bearing seat</td>\n",
       "      <td>Base material</td>\n",
       "      <td>20MnCr5</td>\n",
       "      <td>martensite</td>\n",
       "      <td>Cooling</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>http://orkg.org/orkg/resource/R172322</td>\n",
       "      <td>Shaft with bearing seat</td>\n",
       "      <td>Cladding layer</td>\n",
       "      <td>X45CrSi9-3</td>\n",
       "      <td>martensite</td>\n",
       "      <td>Cooling</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>http://orkg.org/orkg/resource/R172322</td>\n",
       "      <td>Shaft with bearing seat</td>\n",
       "      <td>top layer</td>\n",
       "      <td>X45CrSi9-3</td>\n",
       "      <td>martensite</td>\n",
       "      <td>Cooling</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          Contribution URL                Component  \\\n",
       "2    http://orkg.org/orkg/resource/R145728           Bearing washer   \n",
       "4    http://orkg.org/orkg/resource/R145728           Bearing washer   \n",
       "7    http://orkg.org/orkg/resource/R145728           Bearing washer   \n",
       "9    http://orkg.org/orkg/resource/R145728           Bearing washer   \n",
       "12   http://orkg.org/orkg/resource/R145728           Bearing washer   \n",
       "14   http://orkg.org/orkg/resource/R145728           Bearing washer   \n",
       "27   http://orkg.org/orkg/resource/R145731           Bearing washer   \n",
       "29   http://orkg.org/orkg/resource/R145731           Bearing washer   \n",
       "33   http://orkg.org/orkg/resource/R145731           Bearing washer   \n",
       "35   http://orkg.org/orkg/resource/R145731           Bearing washer   \n",
       "38   http://orkg.org/orkg/resource/R145731           Bearing washer   \n",
       "40   http://orkg.org/orkg/resource/R145731           Bearing washer   \n",
       "54   http://orkg.org/orkg/resource/R162733  Shaft with bearing seat   \n",
       "56   http://orkg.org/orkg/resource/R162733  Shaft with bearing seat   \n",
       "58   http://orkg.org/orkg/resource/R162733  Shaft with bearing seat   \n",
       "60   http://orkg.org/orkg/resource/R162733  Shaft with bearing seat   \n",
       "62   http://orkg.org/orkg/resource/R162788  Shaft with bearing seat   \n",
       "64   http://orkg.org/orkg/resource/R162788  Shaft with bearing seat   \n",
       "66   http://orkg.org/orkg/resource/R162788  Shaft with bearing seat   \n",
       "68   http://orkg.org/orkg/resource/R162788  Shaft with bearing seat   \n",
       "70   http://orkg.org/orkg/resource/R162790  Shaft with bearing seat   \n",
       "72   http://orkg.org/orkg/resource/R162790  Shaft with bearing seat   \n",
       "74   http://orkg.org/orkg/resource/R162790  Shaft with bearing seat   \n",
       "76   http://orkg.org/orkg/resource/R162790  Shaft with bearing seat   \n",
       "79   http://orkg.org/orkg/resource/R171849  Shaft with bearing seat   \n",
       "83   http://orkg.org/orkg/resource/R171849  Shaft with bearing seat   \n",
       "89   http://orkg.org/orkg/resource/R171849  Shaft with bearing seat   \n",
       "92   http://orkg.org/orkg/resource/R171849  Shaft with bearing seat   \n",
       "95   http://orkg.org/orkg/resource/R171849  Shaft with bearing seat   \n",
       "98   http://orkg.org/orkg/resource/R172160  Shaft with bearing seat   \n",
       "102  http://orkg.org/orkg/resource/R172160  Shaft with bearing seat   \n",
       "108  http://orkg.org/orkg/resource/R172160  Shaft with bearing seat   \n",
       "111  http://orkg.org/orkg/resource/R172160  Shaft with bearing seat   \n",
       "114  http://orkg.org/orkg/resource/R172160  Shaft with bearing seat   \n",
       "117  http://orkg.org/orkg/resource/R172247  Shaft with bearing seat   \n",
       "121  http://orkg.org/orkg/resource/R172247  Shaft with bearing seat   \n",
       "127  http://orkg.org/orkg/resource/R172247  Shaft with bearing seat   \n",
       "130  http://orkg.org/orkg/resource/R172247  Shaft with bearing seat   \n",
       "133  http://orkg.org/orkg/resource/R172247  Shaft with bearing seat   \n",
       "136  http://orkg.org/orkg/resource/R172322  Shaft with bearing seat   \n",
       "140  http://orkg.org/orkg/resource/R172322  Shaft with bearing seat   \n",
       "146  http://orkg.org/orkg/resource/R172322  Shaft with bearing seat   \n",
       "149  http://orkg.org/orkg/resource/R172322  Shaft with bearing seat   \n",
       "152  http://orkg.org/orkg/resource/R172322  Shaft with bearing seat   \n",
       "\n",
       "              Layer      Material  \\\n",
       "2     Base material         C22.8   \n",
       "4    Cladding layer        100Cr6   \n",
       "7     Base material         C22.8   \n",
       "9    Cladding layer        100Cr6   \n",
       "12    Base material         C22.8   \n",
       "14   Cladding layer        100Cr6   \n",
       "27    Base material         C22.8   \n",
       "29   Cladding layer         41Cr4   \n",
       "33    Base material         C22.8   \n",
       "35   Cladding layer         41Cr4   \n",
       "38    Base material         C22.8   \n",
       "40   Cladding layer         41Cr4   \n",
       "54    Base material         C22.8   \n",
       "56   Cladding layer  Delcrome 253   \n",
       "58    Base material         C22.8   \n",
       "60        top layer  Delcrome 253   \n",
       "62    Base material         C22.8   \n",
       "64   Cladding layer    Stellite 6   \n",
       "66    Base material         C22.8   \n",
       "68        top layer    Stellite 6   \n",
       "70    Base material         C22.8   \n",
       "72   Cladding layer        100Cr6   \n",
       "74    Base material         C22.8   \n",
       "76        top layer        100Cr6   \n",
       "79    Base material       20MnCr5   \n",
       "83   Cladding layer    X45CrSi9-3   \n",
       "89    Base material       20MnCr5   \n",
       "92   Cladding layer    X45CrSi9-3   \n",
       "95        top layer    X45CrSi9-3   \n",
       "98    Base material       20MnCr5   \n",
       "102  Cladding layer    X45CrSi9-3   \n",
       "108   Base material       20MnCr5   \n",
       "111  Cladding layer    X45CrSi9-3   \n",
       "114       top layer    X45CrSi9-3   \n",
       "117   Base material       20MnCr5   \n",
       "121  Cladding layer    X45CrSi9-3   \n",
       "127   Base material       20MnCr5   \n",
       "130  Cladding layer    X45CrSi9-3   \n",
       "133       top layer    X45CrSi9-3   \n",
       "136   Base material       20MnCr5   \n",
       "140  Cladding layer    X45CrSi9-3   \n",
       "146   Base material       20MnCr5   \n",
       "149  Cladding layer    X45CrSi9-3   \n",
       "152       top layer    X45CrSi9-3   \n",
       "\n",
       "                                        Microstructure           Step Name  \\\n",
       "2                                   ferritic-pearlitic  Deposition welding   \n",
       "4                                            pearlitic  Deposition welding   \n",
       "7                                   ferritic-pearlitic         Hot forming   \n",
       "9                                            pearlitic         Hot forming   \n",
       "12                   ferritic-pearlitic and martensite      Heat treatment   \n",
       "14                                          martensite      Heat treatment   \n",
       "27                                  ferritic-pearlitic  Deposition welding   \n",
       "29                                           pearlitic  Deposition welding   \n",
       "33                                  ferritic-pearlitic         Hot forming   \n",
       "35                                  ferritic-pearlitic         Hot forming   \n",
       "38                                          martensite      Heat treatment   \n",
       "40                                          martensite      Heat treatment   \n",
       "54                                            ferritic  Deposition welding   \n",
       "56   The used etching of 2% nitric acid is not able...  Deposition welding   \n",
       "58                                  ferritic-pearlitic         Hot forming   \n",
       "60   The used etching of 2% nitric acid is not able...         Hot forming   \n",
       "62                                            ferritic  Deposition welding   \n",
       "64   The used etching of 2% nitric acid is not able...  Deposition welding   \n",
       "66                                  ferritic-pearlitic         Hot forming   \n",
       "68   The used etching of 2% nitric acid is not able...         Hot forming   \n",
       "70                                            ferritic  Deposition welding   \n",
       "72                                           pearlitic  Deposition welding   \n",
       "74                                  ferritic-pearlitic         Hot forming   \n",
       "76                                           pearlitic         Hot forming   \n",
       "79                                  ferritic-pearlitic  Deposition welding   \n",
       "83                            martensite and austenite  Deposition welding   \n",
       "89                                  ferritic-pearlitic             Cooling   \n",
       "92                                          martensite             Cooling   \n",
       "95                                          martensite             Cooling   \n",
       "98                                  ferritic-pearlitic  Deposition welding   \n",
       "102                           martensite and austenite  Deposition welding   \n",
       "108                                         martensite             Cooling   \n",
       "111                                         martensite             Cooling   \n",
       "114                                         martensite             Cooling   \n",
       "117                                 ferritic-pearlitic  Deposition welding   \n",
       "121                           martensite and austenite  Deposition welding   \n",
       "127                                 ferritic-pearlitic             Cooling   \n",
       "130                                         martensite             Cooling   \n",
       "133                                         martensite             Cooling   \n",
       "136                                 ferritic-pearlitic  Deposition welding   \n",
       "140                           martensite and austenite  Deposition welding   \n",
       "146                                         martensite             Cooling   \n",
       "149                                         martensite             Cooling   \n",
       "152                                         martensite             Cooling   \n",
       "\n",
       "     Step Number  \n",
       "2              1  \n",
       "4              1  \n",
       "7              2  \n",
       "9              2  \n",
       "12             4  \n",
       "14             4  \n",
       "27             1  \n",
       "29             1  \n",
       "33             2  \n",
       "35             2  \n",
       "38             4  \n",
       "40             4  \n",
       "54             1  \n",
       "56             1  \n",
       "58             2  \n",
       "60             2  \n",
       "62             1  \n",
       "64             1  \n",
       "66             2  \n",
       "68             2  \n",
       "70             1  \n",
       "72             1  \n",
       "74             2  \n",
       "76             2  \n",
       "79             1  \n",
       "83             1  \n",
       "89             3  \n",
       "92             3  \n",
       "95             3  \n",
       "98             1  \n",
       "102            1  \n",
       "108            3  \n",
       "111            3  \n",
       "114            3  \n",
       "117            1  \n",
       "121            1  \n",
       "127            3  \n",
       "130            3  \n",
       "133            3  \n",
       "136            1  \n",
       "140            1  \n",
       "146            3  \n",
       "149            3  \n",
       "152            3  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "microstructure_data = tf_data[tf_data.quality == 'Microstructure'][['contrib_url', 'component', 'layer', 'material', 'textual_value', 'step_name', 'step_number']]\n",
    "microstructure_data.columns = ['Contribution URL', 'Component', 'Layer', 'Material', 'Microstructure', 'Step Name', 'Step Number']\n",
    "#dfi.export(microstructure_data, 'Images/Microstructures after the steps for the Tailored Forming Process Chains.png')\n",
    "microstructure_data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Table [\"Microstructures after the steps for the Tailored Forming Process Chains\"](Images/Microstructures%20after%20the%20steps%20for%20the%20Tailored%20Forming%20Process%20Chains.png) shows that different microstructures occur in the base material and cladding material. The base material is usually ferritic-pearlitic, but a martensitic microstructure occurs after heat treatment. A similar trend can be observed for the cladding materials 41Cr4 and 100Cr6. For the materials Delcrome 253 and Stellite 6, no microstructure could be identified with the etchant used.\n",
    "\n",
    "Remark: The data for this answer comes from 9 TFPCs of 4 publications."
   ]
  }
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