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{
"cells": [
{
"cell_type": "markdown",
"source": [
"Well use a GenericCascadeCase and we will load the example dataset, generated with OpenFOAM.\n",
"We don't necessarily need a complete dataset for postprocessing procedures."
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%% md\n"
}
}
},
{
"cell_type": "code",
"from ntrfc.cascade_case.solution import GenericCascadeCase\n",
"\n",
"inlet_path = \"../data/openfoam_cascade_case/boundary/inlet.vtp\"\n",
"outlet_path = \"../data/openfoam_cascade_case/boundary/outlet.vtp\"\n",
"blade_path = \"../data/openfoam_cascade_case/boundary/blade_wall.vtp\"\n",
"fluid_path = \"../data/openfoam_cascade_case/internal.vtu\"\n",
"\n",
"case = GenericCascadeCase()\n",
"\n",
"case.read_meshes(inlet_path,\"inlet\")\n",
"case.read_meshes(outlet_path,\"outlet\")\n",
"case.read_meshes(blade_path,\"blade\")\n",
"case.read_meshes(fluid_path,\"fluid\")\n"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
}
},
{
"cell_type": "code",
"execution_count": 2,
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/many/miniconda3/envs/NTRfC/lib/python3.10/site-packages/pyvista/core/filters/poly_data.py:2848: PyVistaFutureWarning: The default value of the ``capping`` keyword argument will change in a future version to ``True`` to match the behavior of VTK. We recommend passing the keyword explicitly to prevent future surprises.\n",
" warnings.warn(\n"
]
}
],
"source": [
"\n",
"case.set_active_blade_slice()\n",
"case.compute_domainparams_from(0.01)"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
}
},
{
"cell_type": "code",
{
"data": {
"text/plain": "0"
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
},
"text/plain": "<Figure size 640x480 with 1 Axes>",
"image/png": 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"
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
}
},
"name": "stdout",
"output_type": "stream",
"text": [
"2.6096421199420345\n"
"avdr =case.compute_avdr_inout_massave()\n",
"print(avdr)"
],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
}
},
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{
"cell_type": "code",
"execution_count": null,
"outputs": [],
"source": [],
"metadata": {
"collapsed": false,
"pycharm": {
"name": "#%%\n"
}
}
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.6"
}
},
"nbformat": 4,
"nbformat_minor": 0
}