如何将NACA翼型的数据点上传到simflow中以运行cfd模拟？

Question

我有一个文本文件，其中充满了由NACA翼型的x、y和z坐标组成的点。我想最终使用名为simflow的软件在不同攻角的机翼上运行cfd模拟。如何将此数据导入到软件中，以便运行我的模拟？

Answer 1

我假设您的数据是有分隔符的，并且不包含任何标头。

1.002 -0.001 -0.002
0.986  0.246  0.234
.
.
1.200  0.897  0.672

假设您在安装了Python的UNIX或类UNIX系统上，将以下代码段另存为一个名为'convert_to_obj.py‘的新文件。此脚本将翼型.dat文件转换为'.OBJ‘文件，该文件可以在网格化之前手动导入到SimFlow中。

#!/usr/bin/env python
'''
Script to convert a NACA airfoil in the Selig format into an OBJ file
which can be read by SimFlow.
'''
# Make sure that your airfoil .dat file has the '.dat' extension!!!!

# Argument parser from the command line
import argparse

parser = argparse.ArgumentParser( description='Script to convert a NACA'
                                  'airfoil in the Selig format into an'
                                  ' OBJ file that can be read by SimFlow')

parser.add_argument('files', type=str,
                    help='Choose files to convert, specify path.'
                    ' Enclose entire path in single-quotes')


args = parser.parse_args()

# Import and convert file
import glob
AllFiles = glob.glob( args.files)

for datfile in AllFiles:

    InFileID = open( datfile, 'r')

    # If you have header files in the .dat file, specify the number of
    # header lines below. (for Selig, numheader = 1)
    numheader = 0
    for i in range(numheader):
        InFileID.readline()

    # Slurp all the remaining lines of the .dat file and close it
    DataLines = InFileID.readlines()
    InFileID.close()

    # Open a new file to write to (change extension)
    OutFileID = open( datfile[:-4] + '.OBJ', 'w')

    # Write the name of the group (in our case, its just 'Airfoil')
    OutFileID.write('g Airfoil\n')

    for line in DataLines:
        OutFileID.write('v ' + line )

    OutFileID.close()

# This should create an .OBJ file that can be imported into SimFlow.

运行此脚本(从终端/命令行)

$ python convert_to_obj.py './relative/path/to/airfoil.dat'

或者你可以一次转换一堆文件

$ python convert_to_obj.py './relative/path/to/airfoil*.dat'

请注意，上述脚本将创建顶点。我也有点困惑，为什么你的翼型有3个坐标。翼型是二维的。此脚本适用于3d数据，但仅创建顶点。