About this document
DeepCFD: CNN for Steady Flow Solutions by Mrinal Manoj is a document available to read on EtoBox.
This document proposes DeepCFD, a convolutional neural network model that can efficiently approximate solutions to the Navier-Stokes equations for steady laminar flows. DeepCFD is trained on ground truth data generated by a computational fluid dynamics (CFD) solver. It can provide solutions for both velocity and pressure fields that are up to 3 orders of magnitude faster than standard CFD, with low error rates. The model aims to accelerate engineering design processes that rely on CFD simulations by allowin
- Author
- Mrinal Manoj
- Language
- EN