Transactions on Intelligent Welding Manufacturing (eBook)

Dr. Shanben Chen (S B Chen)   is a Distinguished professor with Shanghai Jiao Tong University (SJTU) ,and  served as the Special Professor, Cheung Kong Scholar Program of the Ministry of Education of China & Li Ka Shing Foundation,  from 2000 to present, he is also director of the Intelligentized Robotic Welding Technology Laboratory of SJTU. 

Prof. Chen is a senior member of the IEEE; Chair of the Robotics & Automation Committee of the Chinese Welding Society (CWS); and a standing member of the Board of Directors, CWS. 

Prof. YuMing Zhang has been with the University of Kentucky since 1991 conducting research in the area of innovation, monitoring, and control of welding processes where he published over 200 journal publications and received 12 US patents. He is a Fellow of the American Welding Society, American Society of Mechanical Engineers, and Society of Manufacturing Engineers and five of his graduate students won International Welding Institute's Henry Granjon Prize. 

Dr. Zhili Feng leads the Materials Joining Team, and is a Distinguished R&D Staff at Oak Ridge National Laboratory, where he manages  and conducts both fundamental and applied R&D and pursuing technological innovations for diverse interdisciplinary subjects related to materials joining and materials manufacturing processes. He is a fellow of American Welding Society and International Institute of Welding.   

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The primary aim of this volume is to provide researchers and engineers from both academic and industry with up-to-date coverage of new results in the field of robotic welding, intelligent systems and automation. The book is mainly based on papers selected from the 2020 International Conference on Robotic Welding, Intelligence and Automation (RWIA'2020) in Shanghai and Lanzhou, China. The articles show that the intelligentized welding manufacturing (IWM) is becoming an inevitable trend with the intelligentized robotic welding as the key technology. The volume is divided into four logical parts: Intelligent Techniques for Robotic Welding, Sensing of Arc Welding Processing, Modeling and Intelligent Control of Welding Processing, as well as Intelligent Control and its Applications in Engineering.