A5023829504- Combustion and flame dynamics
- Advanced Combustion Engine Technologies
- Combustion and Detonation Processes
- Biodiesel Production and Applications
- Fluid Dynamics and Heat Transfer
- Vehicle emissions and performance
- Fire dynamics and safety research
- Rocket and propulsion systems research
- Particle Dynamics in Fluid Flows
- Catalytic Processes in Materials Science
- Energetic Materials and Combustion
- Electrohydrodynamics and Fluid Dynamics
- Fluid Dynamics and Turbulent Flows
- Thermal and Kinetic Analysis
- Leaf Properties and Growth Measurement
- Computer Graphics and Visualization Techniques
- Radiative Heat Transfer Studies
- Remote Sensing in Agriculture
- Heat Transfer and Boiling Studies
- Remote Sensing and LiDAR Applications
- Thermochemical Biomass Conversion Processes
- Heat Transfer and Optimization
- Advanced Sensor and Energy Harvesting Materials
- Cardiovascular Effects of Exercise
- Electrospun Nanofibers in Biomedical Applications
Ministry of Industry and Information Technology
2025
Northwestern Polytechnical University
2025
Lund University
2020-2024
Southeast University
2023-2024
United Imaging Healthcare (China)
2024
Shanghai Jiao Tong University
2024
Farmland Irrigation Research Institute
2021-2024
Huazhong Agricultural University
2021-2024
Changzhou University
2021-2022
Huazhong University of Science and Technology
2016-2019
This study explores the challenges and possibilities of using ammonia (NH3) as a carbon-free fuel for marine propulsion in Wärtsilä ammonia/diesel dual-fuel engine reactivity-controlled compression ignition (RCCI) concept. The main issues RCCI engines are high slip emissions nitrogen oxides nitrous oxide. A joint experimental computational investigation was conducted to understand combustion process, pollutant greenhouse gas (GHG) formation mechanisms, effects injector configuration...
This paper reports on CFD modeling of the fuel/air mixing characteristics liquid ammonia under direct injection engine-relevant conditions. Several questions are addressed including, whether widely used Lagrange particle tracking (LPT) spray models developed for traditional fossil fuels suitable spray, certain improvement current should be introduced, and what conditions needs to considered. It is found that can well reproduced by Lagrange-based non-flash boiling However, there obvious gaps...
Background-oriented schlieren tomography is a prevalent method for visualizing intricate turbulent flows, appreciated its ease of implementation and ability to capture three-dimensional distributions multitude flow parameters. However, the voxel-based meshing scheme leads significant challenges, such as inadequate spatial resolution, substantial discretization errors, poor noise immunity, excessive computational costs. This study presents an innovative reconstruction approach termed neural...
In the present work, artificial neural networks (ANN) technique combined with flamelet generated manifolds (FGM) is proposed to mitigate memory issue of FGM models. A set ANN models firstly trained using a 68-species mass fractions in mixture fraction-progress variable space. The prediction accuracy examined large eddy simulation (LES) and Reynolds averaged Navier-Stokes (RANS) simulations spray combustion. It shown that can properly replicate table for most species fractions. network...
Leaf area index (LAI), which is an important structural parameter, plays a vital role in evaluating crop growth and yield. In this study, we used the canopy coverage (CC) derived from unmanned aerial vehicle (UAV) images as correction parameter PROSAIL model coupled with neural network (NN) to improve accuracy of LAI inversion rapeseed plots. CC had significantly positive impact on especially sparse structure 22.24% decrease entire dataset 35.76% dataset. We then compared performances...
We report micrometric imaging measurements of the ignition micron-sized aluminum (Al) wires and consequent combustion processes single Al droplets in hot steam with oxygen. The specially designed flames were anchored on a modified burner where small central H2/O2 diffusion flame center jet provided flow (>2330 K) for ignition, together laminar co-flow premixed H2/N2/O2 vitiated desired environment. As soon as horizontally arranged wire was moved to jet, high-speed color camera triggered...
Large-eddy simulation with a finite-rate chemistry model is carried out to investigate the formation of soot and nitrogen oxides (NOx) in dual-fuel spray combustion. Liquid n-heptane injected into constant volume chamber, filled premixed methanol–air mixture an equivalence ratio (ϕm) 0.3. Three cases are simulated under initial temperatures 900, 950 1000 K. single-fuel cases, same configurations, but pure air being used as ambient gas composition also baselines for comparison purposes. The...
In this study, an effective and practical algorithm based on the ensemble Kalman filter (EnKF) low-dimensional manifolds (LDMs) is proposed for data assimilation of reacting flow. The EnKF enables better accuracy using observation data, e.g., measurements temperature species mass fractions. LDM introduced to reduce number partial differential equations increase computational efficiency. This approach adopted solving characteristic problems unsteady steady flame, i.e., auto-ignition in a...
Hyperspectral image classification faces significant challenges in effectively extracting and integrating spectral-spatial features from high-dimensional data. Recent deep learning (DL) methods combining Convolutional Neural Networks (CNNs) Vision Transformers (ViTs) have demonstrated exceptional performance. However, two critical may cause degradation the accuracy of these methods: interference irrelevant information within observed region, potential loss useful due to local spectral...
Large-eddy simulation (LES) of multiple-injection spray combustion under engine-like conditions is performed using a coupled model an Eulerian stochastic field transported probability density function (ESF T-PDF) and flamelet generated manifold (FGM). This allows the use T-PDF methods in modeling interaction turbulence chemistry at affordable computational costs for engine applications. Simulation results are compared with available experimental data flames high level exhaust gas...
Metal powder is a promising carbon-free and recyclable energy carrier. Direct combustion of the micron-sized iron particles involves complex physical chemical processes, such as heat transfer, surface reaction, phase change. In this work, computational modelling these processes investigated validated against experiments. A single particle change model proposed in an Eulerian–Lagrangian framework. The new phenomenological considers five stages, i.e., solid oxidation, melting oxides raw iron,...