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Final Project #12

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101 changes: 101 additions & 0 deletions Airfoil characteristics - amiya/2412.txt
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Original file line number Diff line number Diff line change
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0.00729159 0.01686883
0.00287020 0.01121992
0.00043865 0.00559144
0.00000000 0.00000000
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0.98406854 -0.00116491
0.99098004 -0.00065856
0.99593762 -0.00029380
0.99892050 -0.00007369
1.00000000 0.00000000
179 changes: 179 additions & 0 deletions ...teristics - amiya/Airfoil generator/.ipynb_checkpoints/NACA camber-Copy0-checkpoint.ipynb
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{
"metadata": {
"name": "",
"signature": "sha256:08d7474f33be091c07ab73695ad32b733222f333e8c562b3b6af59f3e8923cc3"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "code",
"collapsed": false,
"input": [
"import numpy as np\n",
"import math\n",
"import matplotlib.pyplot as plt\n",
"import csv"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 7
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"with open (r'C:\\Users\\Amiya\\Documents\\GWU\\AeroHydro\\Project\\Airfoil characteristics/NACA_2412.dat') as file_name:\n",
" x_j, y_j = np.loadtxt(file_name, dtype=float, delimiter='\\t', unpack=True)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"ename": "ValueError",
"evalue": "could not convert string to float: NACA 2412",
"output_type": "pyerr",
"traceback": [
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mValueError\u001b[0m Traceback (most recent call last)",
"\u001b[1;32m<ipython-input-8-8baf207bb223>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;32mwith\u001b[0m \u001b[0mopen\u001b[0m \u001b[1;33m(\u001b[0m\u001b[1;34mr'C:\\Users\\Amiya\\Documents\\GWU\\AeroHydro\\Project\\Airfoil characteristics/NACA_2412.dat'\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mfile_name\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mx_j\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my_j\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mloadtxt\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfile_name\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mfloat\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdelimiter\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'\\t'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0munpack\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[1;32mC:\\Anaconda\\lib\\site-packages\\numpy\\lib\\npyio.pyc\u001b[0m in \u001b[0;36mloadtxt\u001b[1;34m(fname, dtype, comments, delimiter, converters, skiprows, usecols, unpack, ndmin)\u001b[0m\n\u001b[0;32m 854\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 855\u001b[0m \u001b[1;31m# Convert each value according to its column and store\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 856\u001b[1;33m \u001b[0mitems\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[0mconv\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mval\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mconv\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mval\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mzip\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mconverters\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mvals\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 857\u001b[0m \u001b[1;31m# Then pack it according to the dtype's nesting\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 858\u001b[0m \u001b[0mitems\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpack_items\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mitems\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mpacking\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
"\u001b[1;31mValueError\u001b[0m: could not convert string to float: NACA 2412"
]
}
],
"prompt_number": 8
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"c = 1.0 #chord\n",
"thickness = 12 #thickness as a percent of chord\n",
"camber = 2.0 #max camber as a percent of chord\n",
"camber_loc = 4.0 #location of max camber as 1/10 percent of a chord\n",
"\n",
"t = thickness/100 #max thickness as a fraction of the chord\n",
"m = camber/100\n",
"p = camber_loc/10 \n",
"\n",
"N = 202 #number of points describing airfoil\n",
"theta_u = np.linspace(0, np.pi, N/2)\n",
"x = np.linspace(0, c, N/2)\n",
"theta_l = np.linspace(np.pi, 2*np.pi, N/2)\n",
"y_t = (t/0.2)*(0.2969*np.sqrt(x) - 0.126*x - 0.3516*x**2 + 0.2843*x**3 - 0.1015*x**4)\n",
"print theta_u.size, theta_l.size\n",
"print x.size\n",
"print y_t.size\n",
"print y_t[0]\n",
"plt.plot(x,y_t)"
],
"language": "python",
"metadata": {},
"outputs": []
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"x_u = np.zeros(x.size, dtype=float)\n",
"y_u = np.zeros(x.size, dtype=float)\n",
"x_l = np.zeros(x.size, dtype=float)\n",
"y_l = np.zeros(x.size, dtype=float)\n",
"y_c = np.zeros(x.size, dtype=float)\n",
"dyc_dx = np.zeros(x.size, dtype=float)\n",
"\n",
"for i in range(N/2-1):\n",
" if x[i]>p*c:\n",
" y_c[i] = (m/(1-p)**2)*((1-(2*p))+(2*p*x[i])-x[i]**2)\n",
" dyc_dx[i] = (2*m/(1-p)**2)*(p-x[i])\n",
" else:\n",
" y_c[i] = (m/p**2)*((2*p*x[i])-x[i]**2)\n",
" dyc_dx[i] = (2*m/p**2)*(p-x[i])\n",
"\n",
"plt.plot(x[0:N/4],y_c[0:N/4])\n",
"print y_c[0]"
],
"language": "python",
"metadata": {},
"outputs": []
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"x_u = x - y_t*np.sin(np.arctan(dyc_dx))\n",
"y_u = y_c + y_t*np.cos(np.arctan(dyc_dx))\n",
" #print i, x_u[i]\n",
" \n",
"x_l = x + y_t*np.sin(np.arctan(dyc_dx))\n",
"y_l = y_c - y_t*np.cos(np.arctan(dyc_dx))\n",
"\n",
"x_l[0], y_l[0] = x_u[0], y_u[0]\n",
"x_l[N/2 - 1], y_l[N/2 - 1] = x_u[N/2 - 1], y_u[N/2 - 1]\n",
"\n",
"print x_l[0], y_l[0],x_u[0], y_u[0]\n",
"print x_l[N/2 - 1], y_l[N/2 - 1],x_u[N/2 - 1], y_u[N/2 - 1]"
],
"language": "python",
"metadata": {},
"outputs": []
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"#plt.plot(x_u, y_u, marker='x')\n",
"plt.plot(x_l, y_l, color='#CD2305')\n",
"plt.plot(x_u, y_u)\n",
"#plt.scatter(x_j, y_j, marker='o')\n"
],
"language": "python",
"metadata": {},
"outputs": []
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"cb = np.zeros(x.size, dtype=float)"
],
"language": "python",
"metadata": {},
"outputs": []
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"print x_j.size"
],
"language": "python",
"metadata": {},
"outputs": []
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"print x.size"
],
"language": "python",
"metadata": {},
"outputs": []
},
{
"cell_type": "code",
"collapsed": false,
"input": [],
"language": "python",
"metadata": {},
"outputs": []
}
],
"metadata": {}
}
]
}
303 changes: 303 additions & 0 deletions ... amiya/Airfoil generator/NACA 4 cambered/.ipynb_checkpoints/NACA4 camber-checkpoint.ipynb
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