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8495b01
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Parent(s):
b4a5d15
Upload 3 files
Browse files- Dockerfile +16 -0
- app.ipynb +317 -0
- requirements.txt +6 -0
Dockerfile
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FROM python:3.9
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WORKDIR /code
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COPY ./requirements.txt /code/requirements.txt
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RUN python3 -m pip install --no-cache-dir --upgrade pip
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RUN python3 -m pip install --no-cache-dir --upgrade -r /code/requirements.txt
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COPY . .
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CMD ["panel", "serve", "/code/manganite-demo.ipynb", "--address", "0.0.0.0", "--port", "7860", "--allow-websocket-origin", "*"]
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RUN mkdir /.cache
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RUN chmod 777 /.cache
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RUN mkdir .chroma
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RUN chmod 777 .chroma
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app.ipynb
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"import manganite\n",
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"%load_ext manganite"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Airfoil Analysis\n",
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"# with [AeroSandbox](https://github.com/peterdsharpe/AeroSandbox) and [Manganite](https://github.com/LCL-CAVE/manganite)\n",
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"\n",
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"## Description\n",
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"\n",
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"The Airfoil Design Demonstration Dashboard is a web-based showcase that provides a glimpse into the capabilities of airfoil analysis within a browser environment. It is built upon the open-source repository [AeroSandbox](https://github.com/peterdsharpe/Automotive-Airfoil-Design/) and serves as a demonstration of what's possible in the realm of virtual airfoil exploration.\n",
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"\n",
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"### Key Features\n",
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"\n",
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"1. **Geometry Visualization:** Explore an interactive airfoil geometry, pre-defined for demonstration purposes. Observe how changes in shape and size can impact aerodynamic behavior.\n",
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"\n",
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"2. **Simplified Angle of Attack:** Adjust the angle of attack within a limited range to see the immediate effects on lift and drag forces. \n",
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"\n",
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"3. **Kulfan Coordinates:** This demonstration employs Kulfan coordinates for the representation of airfoil shapes, providing insight into how airfoil data can be structured and analyzed.\n",
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"\n",
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"4. **Basic Constant Display:** View simplified constant values such as lift coefficient (CL), drag coefficient (CD), and moment coefficient (CM).\n",
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"\n",
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"5. **Visualization:** Visualize how changes in airfoil geometry and angle of attack influence aerodynamic characteristics."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"import plotly.express as px\n",
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"import plotly.graph_objects as go\n",
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"import aerosandbox as asb\n",
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"import aerosandbox.numpy as np\n",
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"import copy\n",
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"import plotly.figure_factory as ff\n",
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"import pandas as pd"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"%%mnn widget --type slider -20:20:0.1 --tab \"Operating Conditions\" --header \"Angle of Attack\" --var alpha\n",
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"alpha = 8.7"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"streamline_density = 1\n",
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"height = 0\n",
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"ground_effect = False"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"%%mnn widget --type slider -0.1:0.7:0.01 --tab \"Shape Parameters\" --header \"Upper surface 1\" --var upper_1 --position 0 0 2\n",
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"upper_1 = 0.25"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"%%mnn widget --type slider -0.1:0.7:0.01 --tab \"Shape Parameters\" --header \"Upper surface 2\" --var upper_2 --position 0 2 2\n",
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"upper_2 = 0.47"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"%%mnn widget --type slider -0.1:0.7:0.01 --tab \"Shape Parameters\" --header \"Upper surface 3\" --var upper_3 --position 0 4 2\n",
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"upper_3 = 0.024"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"%%mnn widget --type slider -0.5:0.3:0.01 --tab \"Shape Parameters\" --header \"Lower surface 1\" --var lower_1 --position 1 0 2\n",
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"lower_1 = -0.11"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"%%mnn widget --type slider 0:0.7:0.01 --tab \"Shape Parameters\" --header \"Lower surface 2\" --var lower_2 --position 1 2 2\n",
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"lower_2 = 0.06"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"%%mnn widget --type slider 0:0.7:0.01 --tab \"Shape Parameters\" --header \"Lower surface 3\" --var lower_3 --position 1 4 2\n",
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"lower_3 = -0.06"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"def display_graph(n_clicks, alpha, height, streamline_density, kulfan_upper, kulfan_lower, analyze_button_pressed = False):\n",
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"\n",
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" ### Start constructing the figure\n",
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" airfoil = asb.Airfoil(\n",
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" coordinates=asb.get_kulfan_coordinates(\n",
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" lower_weights=np.array(lower_values),\n",
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" upper_weights=np.array(upper_values),\n",
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" TE_thickness=0,\n",
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" enforce_continuous_LE_radius=False,\n",
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" n_points_per_side=200\n",
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" )\n",
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" )\n",
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"\n",
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" # ### Do coordinates output\n",
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" # coordinates_output = \"\\n\".join(\n",
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" # [\"```\"] +\n",
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" # [\"AeroSandbox Airfoil\"] +\n",
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" # [\"\\t%f\\t%f\" % tuple(coordinate) for coordinate in airfoil.coordinates] +\n",
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" # [\"```\"]\n",
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" # )\n",
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"\n",
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" ### Continue doing the airfoil things\n",
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" airfoil = airfoil.rotate(angle=-np.radians(alpha))\n",
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" airfoil = airfoil.translate(\n",
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" 0,\n",
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" height + 0.5 * np.sind(alpha)\n",
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" )\n",
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" fig = go.Figure()\n",
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" fig.add_trace(\n",
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" go.Scatter(\n",
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" x=airfoil.x(),\n",
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" y=airfoil.y(),\n",
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" mode=\"lines\",\n",
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" name=\"Airfoil\",\n",
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" fill=\"toself\",\n",
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" line=dict(\n",
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" color=\"blue\"\n",
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" )\n",
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" )\n",
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" )\n",
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"\n",
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" ### Default text output\n",
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" text_output = 'Click \"Analyze\" to compute aerodynamics!'\n",
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" output = text_output\n",
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"\n",
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" xrng = (-0.5, 1.5)\n",
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" yrng = (-0.6, 0.6) if not ground_effect else (0, 1.2)\n",
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"\n",
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" if analyze_button_pressed:\n",
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"\n",
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" analysis = asb.AirfoilInviscid(\n",
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" airfoil=airfoil.repanel(50),\n",
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" op_point=asb.OperatingPoint(\n",
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" velocity=1,\n",
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" alpha=0,\n",
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" ),\n",
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" ground_effect=ground_effect\n",
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" )\n",
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"\n",
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" x = np.linspace(*xrng, 100)\n",
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" y = np.linspace(*yrng, 100)\n",
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" X, Y = np.meshgrid(x, y)\n",
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" u, v = analysis.calculate_velocity(\n",
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" x_field=X.flatten(),\n",
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" y_field=Y.flatten()\n",
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" )\n",
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" U = u.reshape(X.shape)\n",
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" V = v.reshape(Y.shape)\n",
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"\n",
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" streamline_fig = ff.create_streamline(\n",
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" x, y, U, V,\n",
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" arrow_scale=1e-16,\n",
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" density=streamline_density,\n",
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" line=dict(\n",
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213 |
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" color=\"#ff82a3\"\n",
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" ),\n",
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" name=\"Streamlines\"\n",
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" )\n",
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"\n",
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218 |
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" fig = go.Figure(\n",
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219 |
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" data=streamline_fig.data + fig.data\n",
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" )\n",
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"\n",
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222 |
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" output = pd.DataFrame(\n",
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223 |
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" {\n",
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224 |
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" \"Engineering Quantity\": [\n",
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225 |
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" \"C_L\"\n",
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" ],\n",
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" \"Value\" : [\n",
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" f\"{analysis.Cl:.3f}\"\n",
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" ]\n",
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" }\n",
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" )\n",
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"\n",
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" fig.update_layout(\n",
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" xaxis_title=\"x/c\",\n",
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" yaxis_title=\"y/c\",\n",
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" showlegend=False,\n",
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" yaxis=dict(scaleanchor=\"x\", scaleratio=1),\n",
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" margin={'t': 0},\n",
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" title=None,\n",
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" )\n",
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"\n",
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" fig.update_xaxes(range=xrng)\n",
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" fig.update_yaxes(range=yrng)\n",
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"\n",
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245 |
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" return fig, output"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"%%mnn widget --type plot --var aero_fig --tab \"Shape Parameters\" --header \"Airfoil Cross section\" --position 2 0 6\n",
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"upper_values = [upper_1, upper_2,upper_3]\n",
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"lower_values = [lower_1, lower_2, lower_3]\n",
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"aero_fig, text_output = display_graph(1,alpha=alpha,height=0,streamline_density=streamline_density, kulfan_upper=upper_values, kulfan_lower=lower_values)\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"%%mnn execute --on button \"Analyze\" --returns aero_performance\n",
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"\n",
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268 |
+
"aero_fig_lines, aero_performance = display_graph(1,alpha=alpha,height=0,streamline_density=streamline_density, kulfan_upper=upper_values, kulfan_lower=lower_values, analyze_button_pressed = True)\n"
|
269 |
+
]
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"cell_type": "code",
|
273 |
+
"execution_count": null,
|
274 |
+
"metadata": {},
|
275 |
+
"outputs": [],
|
276 |
+
"source": [
|
277 |
+
"%%mnn widget --type plot --var aero_fig_lines --tab \"Aerodynamic Performance\" --header \"Streamlines\" --position 0 0 6\n",
|
278 |
+
"\n",
|
279 |
+
"simu_ready = aero_performance\n",
|
280 |
+
"aero_fig_lines\n"
|
281 |
+
]
|
282 |
+
},
|
283 |
+
{
|
284 |
+
"cell_type": "code",
|
285 |
+
"execution_count": null,
|
286 |
+
"metadata": {},
|
287 |
+
"outputs": [],
|
288 |
+
"source": [
|
289 |
+
"%%mnn widget --type table --tab \"Aerodynamic Performance\" --position 1 2 4 --header \"Metrics\" --var performance_values\n",
|
290 |
+
"\n",
|
291 |
+
"performance_values = aero_performance"
|
292 |
+
]
|
293 |
+
}
|
294 |
+
],
|
295 |
+
"metadata": {
|
296 |
+
"kernelspec": {
|
297 |
+
"display_name": "manganite-env",
|
298 |
+
"language": "python",
|
299 |
+
"name": "python3"
|
300 |
+
},
|
301 |
+
"language_info": {
|
302 |
+
"codemirror_mode": {
|
303 |
+
"name": "ipython",
|
304 |
+
"version": 3
|
305 |
+
},
|
306 |
+
"file_extension": ".py",
|
307 |
+
"mimetype": "text/x-python",
|
308 |
+
"name": "python",
|
309 |
+
"nbconvert_exporter": "python",
|
310 |
+
"pygments_lexer": "ipython3",
|
311 |
+
"version": "3.11.4"
|
312 |
+
},
|
313 |
+
"orig_nbformat": 4
|
314 |
+
},
|
315 |
+
"nbformat": 4,
|
316 |
+
"nbformat_minor": 2
|
317 |
+
}
|
requirements.txt
ADDED
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
panel
|
2 |
+
numpy
|
3 |
+
pandas
|
4 |
+
plotly
|
5 |
+
aerosandbox==3.0.0 # TODO fix a version
|
6 |
+
https://github.com/daniel-dobos-unilu/codespaces-manganite/raw/main/packages/manganite-0.0.3.tar.gz
|