A5072417331- Combustion and flame dynamics
- Advanced Combustion Engine Technologies
- Fire dynamics and safety research
- Combustion and Detonation Processes
- Heat transfer and supercritical fluids
- Atmospheric chemistry and aerosols
- Computational Fluid Dynamics and Aerodynamics
- Fluid Dynamics and Turbulent Flows
- Thermochemical Biomass Conversion Processes
- Catalytic Processes in Materials Science
- Heat Transfer Mechanisms
- Wind and Air Flow Studies
- Rocket and propulsion systems research
- Turbomachinery Performance and Optimization
- Chemical Thermodynamics and Molecular Structure
- Particle Dynamics in Fluid Flows
- Radiative Heat Transfer Studies
- Model Reduction and Neural Networks
- Vehicle emissions and performance
- Phase Equilibria and Thermodynamics
- Probabilistic and Robust Engineering Design
- Energetic Materials and Combustion
- ZnO doping and properties
- Advanced Thermodynamics and Statistical Mechanics
- Catalysis and Hydrodesulfurization Studies
Tsinghua University
2016-2025
Aero Engine Corporation of China (China)
2019-2024
UNSW Sydney
2020-2022
Nanjing University of Aeronautics and Astronautics
2021
Shanghai Jiao Tong University
2021
Stanford University
2021
University of Connecticut
2012-2018
East China University of Science and Technology
2014
Ansys (United States)
2009-2012
Cornell University
2003-2009
This work addresses the construction and use of low-dimensional invariant manifolds to simplify complex chemical kinetics. Typically, kinetic systems have a wide range time scales. As consequence, reaction trajectories rapidly approach hierarchy attracting decreasing dimension in full composition space. In previous research, several different methods been proposed identify these manifolds. Here we propose new method based on an constrained equilibrium edge (ICE) manifold. manifold (of nr) is...
Abstract A cell agglomeration algorithm is proposed to mitigate the computational cost of incorporating detailed chemical kinetics in multi-dimensional Computational Fluid Dynamics (CFD) simulations. Cells that are close species and energy composition space agglomerated before calling reaction integrator, substantially reducing number chemistry integrations. The generalized applicable any reacting flow configuration, accuracy fully controllable. dynamic hash table used efficiently bin cells...
The use of large chemical mechanisms in flame simulations is computationally expensive due to the number species and wide range time scales involved. This study investigates dynamic adaptive chemistry (DAC) for efficient calculations turbulent simulations. DAC achieved through directed relation graph (DRG) method, which invoked each computational fluid dynamics cell/particle obtain a small skeletal mechanism that valid local thermochemical condition. Consequently, during reaction fractional...
A conservative representation of a chemical explosive mode analysis is formulated for flame diagnostics in compressible reactive flows. The characteristics are detected by the quantification individual contributions reaction, diffusion, and compressibility to modes. diagnostic method first applied analyze one-dimensional representative flames. shows that plays dominant role among nonchemical effects modes high-speed Then, further stabilization mechanisms Burrows–Kurkov supersonic flames,...
With the increased demand for hydrogen carbon-neutral propulsion technologies, understanding coupling effect of fuel injection and cavity on flow characteristics is essential an open issue cavity-based supersonic flame stabilization optimizations. In this paper, active subspace (AS) method exploited to quantitatively reveal intrinsic connections between with various geometric parameters. A metric [Formula: see text] connecting mode nonreacting flows proposed AS analysis multiobjective The...