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
- Turbomachinery Performance and Optimization
- Rocket and propulsion systems research
- Wind and Air Flow Studies
- Model Reduction and Neural Networks
- Particle Dynamics in Fluid Flows
- Chemical Thermodynamics and Molecular Structure
- Probabilistic and Robust Engineering Design
- Phase Equilibria and Thermodynamics
- Radiative Heat Transfer Studies
- Energetic Materials and Combustion
- Adversarial Robustness in Machine Learning
- Fluid Dynamics and Heat Transfer
- Powdery Mildew Fungal Diseases
- 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...
Computational Fluid Dynamics (CFD) is widely used in aerospace, energy, and biology to model fluid flow, heat transfer, chemical reactions. While Large Language Models (LLMs) have transformed various domains, their application CFD remains limited, particularly for complex tasks like post-processing. To bridge this gap, we introduce MetaOpenFOAM 2.0, which leverages Chain of Thought (COT) decomposition iterative verification enhance accessibility non-expert users through natural language...
This study presents the first numerical evidence of mode switching via quasi-periodic oscillations in a self-excited thermoacoustic system—model multi-element liquid rocket combustor burning methane and hydrogen peroxide—by varying global equivalence ratio (1.7 ≤ ϕ 0.3). We employed full-scale, three-dimensional compressible Detached Eddy Simulation OpenFOAM, coupled with partially stirred reactor turbulent combustion model, modeled chemical reactions two-step reaction mechanism to account...
The paper investigates two-dimensional slit flame front dynamics subjected to transverse and axial perturbations simultaneously, addressing the practical importance of azimuthal longitudinal thermoacoustic oscillations occurring in annular combustion chambers. Specifically, responses time-averaged fronts two-way are theoretically investigated analyzed using different disturbance propagation velocity models. Analytical solutions with flow disturbances derived [Formula: see text]-equation...
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...