In the development of next-generation aero or diesel engines, one of the main concerns is the reduction of particulate emissions. As combustion-generated fine particles, soot is a particularly challenging modelling problem due to complex multiscale and multiphysics interactions between turbulence, particle dynamics, and chemistry. Numerical simulation and modeling of soot evolution in turbulent flows require models for four different components: (1) the background turbulent flow, (2) gas-phase combustion, (3) the physico-chemical mechanisms that alert soot particles by various micro-processes of inception, growth, and oxidation for soot particles, and (4) particle evolution dynamics. This talk will discuss these modelling challenges in the large-eddy simulation (LES) of soot formation in practical combustion systems.
Jointly trained at The University of Michigan and Peking University, Dr. Wang Han obtained his Ph.D. degree in Fluid Mechanics in 2017. Prior to joining the University of Edinburgh as Lecturer in Computational Reactive Flows in 2020, he was a Postdoctoral Research Associate (2017-2019) in the STFS institute at TU Darmstadt Germany, Visiting Research Associate (2019) at CRF-Sandia National Labs, and Research Associate (2019-2020) at UNSW Sydney Australia. With his expertise in physics-based and data-driven combustion modeling and CFD, Dr. Han has published original research in scientific journals including Combustion and Flame, Proceedings of the Combustion Institute, Fuel, etc. He won the prestigious German DAAD Fellowship in 2017 and Bernard Lewis Fellowship from the Combustion Institute in 2018.