Surrogate model for heat transfer prediction in impinging jet arrays using dynamic inlet/outlet and flow rate control

The repository presents a surrogate model designed to predict the Nusselt number distribution in an enclosed impinging jet arrays, where each jet function independently and where jets can be transformed from inlets to outlets, leading to a vast number of possible flow arrangements. This repository provides a complete pipeline to reproduce surrogate models based on two distinct impinging jet arrays of 5 by 1 and 3 by 3 jets. It includes parameter generation, CFD simulations using Lethe, post-processing, convolutional neural network training, visualization and validation against experimental data.

Mots clés

• impinging jets
• active cooling
• surrogate model
• heat and mass transfer
• computational fluid dynamics
• convolutional neural network