In one of my YouTube videos, I show how to run XFoil from a MATLAB script. For those of you that don’t have MATLAB or prefer Python, here is the same script, but now in Python. The functionality should be the exact same. I have uploaded a .txt file with the Python code because I am not able to upload Python files to my website at the moment. Just save it as a .py file when you download it (it will open in a new window).
Python_XFoil.py
937 Downloads
The code can also be seen below.
import os
import numpy as np
import matplotlib.pyplot as plt
# %% CREATE LOADING FILE
# Knowns
NACA = '0012'
AoA = '0'
numNodes = '170'
saveFlnmAF = 'Save_Airfoil.txt'
saveFlnmCp = 'Save_Cp.txt'
xfoilFlnm = 'xfoil_input.txt'
# Delete files if they exist
if os.path.exists(saveFlnmAF):
os.remove(saveFlnmAF)
if os.path.exists(saveFlnmCp):
os.remove(saveFlnmCp)
# Create the airfoil
fid = open(xfoilFlnm,"w")
fid.write("NACA " + NACA + "\n")
fid.write("PPAR\n")
fid.write("N " + numNodes + "\n")
fid.write("\n\n")
fid.write("PSAV " + saveFlnmAF + "\n")
fid.write("OPER\n")
fid.write("ALFA " + AoA + "\n")
fid.write("CPWR " + saveFlnmCp + "\n")
fid.close()
# Run the XFoil calling command
os.system("xfoil.exe < xfoil_input.txt")
# Delete file after running
if os.path.exists(xfoilFlnm):
os.remove(xfoilFlnm)
# %% READ DATA FILE: AIRFOIL
flpth = "C:/Users/Josh/Documents/Python/Panel_Methods/"
flnm = flpth + saveFlnmAF
# Load the data from the text file
dataBuffer = np.loadtxt(flnm, skiprows=0)
# Extract data from the loaded dataBuffer array
XB = dataBuffer[:,0]
YB = dataBuffer[:,1]
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if os.path.exists(saveFlnmAF):
os.remove(saveFlnmAF)
# %% READ DATA FILE: PRESSURE COEFFICIENT
# Load the data from the text file
dataBuffer = np.loadtxt(saveFlnmCp, skiprows=3)
# Extract data from the loaded dataBuffer array
X_0 = dataBuffer[:,0]
Y_0 = dataBuffer[:,1]
Cp_0 = dataBuffer[:,2]
# Delete file after loading
if os.path.exists(saveFlnmCp):
os.remove(saveFlnmCp)
# %% EXTRACT UPPER AND LOWER AIRFOIL DATA
# Split airfoil into (U)pper and (L)ower
XB_U = XB[YB >= 0]
XB_L = XB[YB < 0]
YB_U = YB[YB >= 0]
YB_L = YB[YB < 0]
# Split XFoil results into (U)pper and (L)ower
Cp_U = Cp_0[YB >= 0]
Cp_L = Cp_0[YB < 0]
X_U = X_0[YB >= 0]
X_L = X_0[YB < 0]
# %% PLOT DATA
# Plot airfoil
fig = plt.figure(1)
plt.cla()
plt.plot(XB_U,YB_U,'b.-',label='Upper')
plt.plot(XB_L,YB_L,'r.-',label='Lower')
plt.xlabel('X-Coordinate')
plt.ylabel('Y-Coordinate')
plt.title('Airfoil')
plt.axis('equal')
plt.legend()
plt.show()
# Plot pressure coefficient
fig = plt.figure(2)
plt.cla()
plt.plot(X_U,Cp_U,'b.-',label='Upper')
plt.plot(X_L,Cp_L,'r.-',label='Lower')
plt.xlim(0,1)
plt.xlabel('X-Axis')
plt.ylabel('Y-Axis')
plt.title('Pressure Coefficient')
plt.show()
plt.legend()
plt.gca().invert_yaxis()
Hi,
I am trying to perform airfoil optimization with Xfoil. Do you know how to disable the pop-up window in Xfoil, it is very annoying when you run a long optmization.
When you start XFOIL,
type PLOP,
this will direct you to plotting options,
in which type G,
this will turn off graphic flag and thus xfoil wont plot out the CP distribution upon running oper.
Hope this helps
Dear Josh;
Does this XFOIL-Python interface achieve this by writing/reading to the HD, or does it directly communicates with complied xfoil library? Since there is a considerable speed difference in between the two methods.
very good, thanks!