معرفی
Mr. Yufeng Lai is a Researcher at the University of Sheffield's School of Electrical and Electronic Engineering, specializing in Digital Manufacturing Imaging Technologies. His work focuses on combustion dynamics, hyperspectral imaging, and machine learning applications in thermal/fluid systems. Lai's research integrates advanced imaging techniques with computational methods to analyze flame behavior, equivalence ratio measurement, and fire safety challenges.
Key research areas include:
- Combustion diagnostics using multi-spectral imaging
- Machine learning-driven flame parameter prediction
- Thermoacoustic oscillation analysis in combustion systems
- Biomass and hydrogen combustion dynamics
- Fire suppression mechanisms and material characterization
Recent studies have explored high-altitude kerosene droplet ignition, methane flame equivalence ratio modeling via RGB imaging, and wood combustion under varying moisture conditions. His work bridges experimental combustion science with engineering solutions for advanced manufacturing and fire safety systems.
Lai's publications highlight interdisciplinary approaches, combining physics-based models with data-driven techniques to address challenges in thermal systems and material processing. Current research emphasizes real-time imaging systems for industrial combustion monitoring and sustainable energy applications.
