Depu Lu

OverviewAI-generated summary

Depu Lu's research focuses on the application of artificial intelligence and advanced computational methods to address complex problems in thermal engineering and fluid dynamics. His work includes the development of three-dimensional temperature field inversion calculations using artificial intelligence algorithms, as well as temperature field reconstruction of 3D components through neural network-based methods. Lu has investigated experimental studies on multi-evaporator loop heat pipes with dual-layer structure condensers and developed new stacking model methods for inverse flow and heat coupling problems, such as those found in aero-engine turbine blades.

His recent publications also address the practical challenges in hydronic systems, specifically examining the impact of air on pressure loss in vertical pipe sections and modeling performance degradation in recirculated hydronic pumping systems. Lu's scholarship metrics include an h-index of 5, with 15 total publications and 84 total citations. He has collaborated with D. E. Claridge on at least two shared publications.

Metrics

• h-index: 6
• Publications: 15
• Citations: 94