San Ben Chen

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About

San Ben Chen is a leading researcher in advanced welding technologies, specializing in intelligent robotic welding, arc welding dynamics, and high-efficiency joining methods for thick steel plates. His work integrates computer vision and intelligent control to enhance weld pool dynamics and seam formation in pulsed gas tungsten arc welding (GTAW), as demonstrated in his highly cited 2010 paper (11 citations). Chen’s major contribution lies in developing visual information acquisition methods that enable real-time adaptive control, significantly improving automation and precision in robotic welding processes. He also pioneered multi-pass route planning for double-sided double arc welding (DSDAW), a technique that eliminates back chipping for thick plates of low alloy high strength steel, as detailed in his 2012 work (5 citations). This innovation enhances productivity and structural integrity in heavy industrial applications. With a focus on bridging theoretical control systems with practical welding challenges, Chen’s research has direct implications for manufacturing, shipbuilding, and aerospace. His work is essential reading for students and engineers seeking to understand the future of automated, high-performance welding.