IW-IWM2017 | The 2017 International Workshop on Intelligentized Welding Manufacturing（IWIWM’2017）

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Robotics & Automation Committee of CWS

Melted Welding & Equipments Committee of CWS

Editorial Board of Transactions on Intelligent Welding Manufacturing

Co-sponsors

Chinese Welding Society (CWS)

Chinese Mechanical Engineering Society (CMES)

Chinese Welding Association (CWA)

Shanghai Welding Society (SWS)

State Key Laboratory of AWJ，HIT

State Key Laboratory of APRNM，LUT

OMETBAM Laboratory，BIPT

Key Laboratory of LAWJT，DLUT

Shanghai Key Laboratory of MLPM (SJTU)

Prof. Yuming ZHANG, James R. Boyd Professor, Department of Electrical and Computer Engineering, University of Kentucky, USA;

Biography Dr. YuMing Zhang has been with the University of Kentucky, Lexington, Kentucky, USA since 1991 where he was promoted to Professor of Electrical Engineering in 2005. He received his BS and MS degrees in control major from Harbin Institute of Technology (HIT) where he also finished his PhD degree in welding major in 1990. His research in machine intelligence and advanced controls with application in welding has been funded, primarily by the NSF and Navy. His research in this area has brought him 180 peer-reviewed journal publications and 8 US patents. His recognitions include numerous awards from the American Welding Society (AWS), The Institution of Mechanical Engineers (United Kingdom), International Federation of Automatic Control (IFAC), as well as plenary speaker in numerous international conferences. Four of his PhD students won the prestigious Henry Granjon Prize on behalf of the US from the International Institute of Welding (IIW) against winners from other IIW member countries. YuMing Zhang is currently a Lead Principal Reviewer for Welding Journal, and an Associate Editor for IEEE Transactions on Automation Science and Engineering and SME Journal of Manufacturing Processes. He is also a Fellow of the AWS, the ASME, and the SME.
Presentation Recent Innovations in Welding Process Control and Sensing for Advanced Manufacturing
Abstract: Welding is often the last stage in manufacturing of high value added product and thus affects the overall competitiveness of US manufacturing industry. Next generation manufacturing calls for innovative methods to produce welded structures meeting service requirements at lower costs and higher speeds. A number of innovative methods have thus been proposed at the University of Kentucky to better understand and control welding processes for enhanced abilities to assure weld quality and make welds faster at reduced heat input and cost. Examples of our recent efforts include the use of real-time measurement of specular weld pool surface in weld joint penetration control, modeling of the human welder, and intelligent robotic welding as well as the development of a few innovative arc welding processes including the bypass arc process, arcing-wire gas tungsten arc process, and inter-wire arcing process. In addition, collaborations are being developed to better disseminate the results and address complex issues that require multidisciplinary expertise.