Development of a machine learning model based on results obtained from CFD solvers for the ease of the iterative processes in the early stages of design

In the following paper, three different approaches to study steady state fluid flow using machine learning are presented. Through the use of deep convolutional neural networks, the velocity and pressure fields were obtained by using computational fluid dynamics (CFD) simulations as training data. Th...