Wenhe Feng
Papers
2
Total Citations
33
H-Index
2
About
Wenhe Feng is a leading researcher in advanced manufacturing, specializing in additive manufacturing (AM) and real-time process monitoring. Their key contributions center on enhancing the reliability of laser-directed energy deposition (L-DED) through innovative sensor fusion techniques. Feng’s most cited work, "Multimodal Sensor Fusion for Real-Time Location-Dependent Defect Detection in Laser-Directed Energy Deposition" (2023, 30 citations), addresses a critical limitation of traditional in-situ monitoring, which relies on a single sensor—acoustic, visual, or thermal—to capture complex process dynamics. By integrating multiple sensor modalities, Feng developed a more robust framework for detecting defects as they occur, significantly improving quality control in metal additive manufacturing. This research has direct implications for industries like aerospace and automotive, where part integrity is paramount. Feng’s work is notable for its practical, real-time application, bridging the gap between theoretical monitoring and industrial deployment. With a growing citation impact, Feng is establishing themselves as a key voice in the push toward smarter, more reliable manufacturing processes, making their research essential reading for students and engineers working on AM defect detection and process optimization.
Research Focus
Key Achievements
Top Papers
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- 2