Simulating fluid dynamics in a cascade of oscillating blades using a convolutional neural network

Abstract

The paper aims to create a computational model for compressible viscous fluid flow in a blade cascade. The model's core is a convolutional neural network that predicts the unsteady flow field between three moving blades. The paper will present a method for extending the neural network model to the entire cascade.