题目：Towards Exascale Simulations of Turbulent Combustion with Complex Chemistry
Hong G. Im received his B.S. and M.S. in from Seoul National University, and Ph.D. from Princeton
University. After postdoctoral researcher appointments at the Center for Turbulence Research, Stanford University, and at the Combustion Research Facility, Sandia National Laboratories, he held assistant/associate/full professor positions at the University of Michigan. He joined KAUST in 2013 as a Professor of Mechanical Engineering. He is a recipient of the NSF CAREER Award and SAE Ralph R. Teetor Educational Award, and is an Associate Fellow of AIAA and a Fellow of ASME. He has also served as an Associate Editor for the Proceedings of the Combustion Institute, and is currently on the Editorial Board for Journal of Combustion. Professor Im’s research and teaching interests are primarily fundamental and practical aspects of combustion and power generation devices using high-fidelity computational modeling. Recent research topics include direct numerical simulation of turbulent combustion at extreme conditions, bluff-body flame stabilization mechanism, modeling of low grade and alternative fuels, spray and combustion modeling in advanced internal combustion engines, advanced models for turbulent sooting flames, electrical field effects on flames, and combustion characteristics of high hydrogen content fuels for advanced gas turbine applications.
Advances in massively parallel computing hardware enabled high fidelity simulations of turbulent combustion at unprecedented physical scales with chemical complexities. The presentation will start with an overview of current status in the KARFS (KAUST Adaptive Reacting Flows Solver) project, a new direct numerical simulation (DNS) code for reacting flows for hybrid CPU+X architecture. The new code has been applied to a number of physical studies, such as turbulent premixed flame at high Reynolds/Karlovitz numbers, bluff-body flame stabilization, and auto-ignition of premixed reactants in the presence of temperature fluctuations. Key challenges and scientific findings from these studies will be discussed.