Neural network forecasting of the flow regimens of viscous fluids in a 3D reactor

Abstract

In this research work, the turbulence in fluid flow through a turbulent reactor is investigated. The research was conducted in three steps; modeling, simulations and future forecasting for longer times, where numerical solvers fail to simulate the robust dynamics of turbulence. Advanced finite element solvers are used for the numerical simulations and for the forecasting purpose, artificial neural networks are used. Artificial intelligence is deployed for the transient analysis for longer times, where numerical solvers fail. Results are presented with the aid of tables and video graphic footage.