Deep Learning Interfacial Momentum Closures in Coarse-Mesh CFD Two-Phase Flow Simulation Using Validation Data

no code implementations • 7 May 2020 • Han Bao, Jinyong Feng, Nam Dinh, Hongbin Zhang

Development of those closures traditionally rely on the experimental data and analytical derivation with simplified assumptions that usually cannot deliver a universal solution across a wide range of flow conditions.

Computationally Efficient CFD Prediction of Bubbly Flow using Physics-Guided Deep Learning

no code implementations • 17 Oct 2019 • Han Bao, Jinyong Feng, Nam Dinh, Hongbin Zhang

To realize efficient computational fluid dynamics (CFD) prediction of two-phase flow, a multi-scale framework was proposed in this paper by applying a physics-guided data-driven approach.