Application of Computational Fluid Dynamic and Advanced Machine Learning to optimize the performance of filters

In this project, a digital model based on CFD and advanced ML would be developed to accurately resemble the multiphase fluid flow of air and oil droplets in porous filters PSI Global. A Physics Informed Machine Learning would be developed to enhance the capability of the CFD simulation.