Autodesk, Inc.
Machine learning three-dimensional fluid flows for interactive aerodynamic design

Abstract:

Embodiments of the invention disclosed herein provide techniques for simulating a three-dimensional fluid flow. A parameterization application parameterizes a first representation of a design object to compute a first polycube representation. The parameterization application computes a first distortion grid based on the first polycube representation. A machine learning application computes, via a first neural network, a surface pressure model based on the first polycube representation. The machine learning application computes, via a second neural network, a velocity field model based on the first polycube representation and the first distortion grid. The machine learning application generates a visualization of the surface pressure model and the velocity field model for display on a display device.