High-performance and high-fidelity multi-scale modeling of reacting flows for clean, efficient and safe energy conversion and propulsion
Date: 2020/11/02 - 2020/11/02
Academic Seminar: High-performance and high-fidelity multi-scale modeling of reacting flows for clean, efficient and safe energy conversion and propulsion
Speaker: Dr. Dezhi Zhou, University of Minnesota Twin Cities
Time: 9:00 a.m.-10:00 a.m., November 2nd, 2020 (Beijing Time)
Location: via Zoom (Meeting ID: 64320300920, Password: 3261)
Although conversations around energy sustainability are dominated by the clean-energy technologies like wind and solar energy, combustion remains the dominant method of energy conversion for power generation and transportation. Designing safe, clean and efficient combustion technologies is still of significant demand in automotive engineering, aerospace engineering and power plant engineering. Hence, understanding the physicochemical process of combustion (interactions among chemistry, flow, aerosol particles et al.) remains a crucial topic. To alleviate the expensive computational cost in reacting flow simulations, high-performance algorithms developed for accelerating reacting flow simulations are developed and firstly introduced in this presentation. Subsequently, the interaction between chemistry, flow and soot particles are then discussed by a newly proposed soot-based computational diagnostic tool to understand the mechanism of soot formation and evolution in pressurized laminar and turbulent flames. The development of high-fidelity fully compressible solver for high speed combustion and its application to shock tube and scramjet simulations are also introduced in this presentation.
Dr. Dezhi Zhou is currently a postdoctoral research associate at the Department of Mechanical Engineering, University of Minnesota Twin Cities, starting from 2019. He was a research engineer/fellow from 2017-2019 in National University of Singapore. He obtained his PhD degree in Mechanical Engineering from National University of Singapore in 2017 and bachelor’s degree in Thermal and Power Engineering from Shanghai Jiao Tong University in 2013.
His research interests encompass high-fidelity multi-scale and multi-phase reacting flow simulations, with the focus on the interactions among turbulence, chemistry, aerosol, and shock wave. His research covers both Low-Mach and supersonic combustion, with the applications in internal combustion engines, gas turbines, ramjet/scramjet and detonation engines. He is experienced in aerosol modeling for understanding the formation of soot/nanoparticles in flames. He is also interested in developing high performance algorithms to accelerate the high-fidelity reacting flow simulations.