xyz file from res2dinv Returns: x: central location. (but if you're just wanting the best airfoil for your specific use case, use what's already built-in - they outperform most other foils be a wide margin). plotting import matplotlib.pyplot as plt from matplotlib import gridspec. If your splines *are* airfoils, you can export and re-import - the latter gives you options to re-spline and select the number of control points you want etc. For aerofoil structures, turbine blade design, aeroplane body designs, to get the desirable curve from the excel points, this method can be used. 2 Answers Sorted by: 4 Actually, there are plenty of alternative DC Inversion software I hate using res2dinv unfortunately its relatively easy to get into. A list of the arrays supported by the RES2DINV program together with their number codes are given below. csv) - it's built for airfoils, but if you turn off the normalization etc it should work for any spline. The RES2DINV program will automatically convert a Wenner beta array data file into a dipole-dipole array data set. My addin exports splines to files (.dat and. I translated that to python in my Airfoil Tools add-in. I don't know what algorithm Fusion360 uses for fit-point-splines.Ĭontrol-point-splines (and probably higher degree too) are standard cubic b-splines, and match pixel-for-pixel. Res2Dinv and res3Dinv are powerful software packages for inversion of 2D and 3D ERT (DC) and IP data. Look up DC2DInvRes (), and BERT by Thomas Gunther. I would have much preferred ZondRes2D for it's user experience. You could theoretically do that as a one-liner in the 'command window' from fusion360 itself if you can figure out how to select and reference the spline you want. 2 Answers Sorted by: 4 Actually, there are plenty of alternative DC Inversion software I hate using res2dinv unfortunately it's relatively easy to get into. This is the snippet to get the control points of splines: foil=įor i in .iterator():

Import xyz to res2dinv