HC Fang

Papers

Total Citations

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About

Dr. HC Fang is a leading researcher in robotic welding automation, with a focus on optimizing path and pass planning for complex, large-scale industrial joints. His work addresses critical challenges in shipbuilding and oilfield construction, where thick, nonuniform grooves demand multi-pass welding processes that can take tens of hours. Fang’s most cited paper, "Robot path planning optimization for welding complex joints" (2016), has garnered 74 citations, establishing a foundational method for improving efficiency in intricate welding tasks. He further advanced the field with "Optimal pass planning for robotic welding of large-dimension joints with nonuniform grooves" (2017, 9 citations), which specifically targets the reduction of welding time in massive structures. By developing algorithms that minimize robot motion and optimize weld bead placement, Fang’s contributions enable faster, more reliable robotic welding, directly impacting productivity in heavy industries. His work is essential for researchers and engineers seeking to automate high-stakes manufacturing processes, blending computational optimization with practical industrial applications.