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Transactions on Intelligent Welding Manufacturing -

Transactions on Intelligent Welding Manufacturing (eBook)

Volume II No. 3 2018
eBook Download: PDF
2019 | 1st ed. 2019
X, 171 Seiten
Springer Singapore (Verlag)
978-981-13-7418-0 (ISBN)
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The primary aim of this volume is to provide researchers and engineers from both academia and industry with up-to-date coverage of recent advances in the fields of robotic welding, intelligent systems and automation. It gathers selected papers from the 2018 International Conference on Robotic Welding, Intelligence and Automation (RWIA 2018), held Oct 20-22, 2018 in Guangzhou, China. The contributions reveal  how intelligentized welding manufacturing (IWM) is becoming an inescapable trend, just as intelligentized robotic welding is becoming a key technology. The volume is divided into four main parts: Intelligent Techniques for Robotic Welding, Sensing in Arc Welding Processing, Modeling and Intelligent Control of Welding Processing, and Intelligent Control and its Applications in Engineering.



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. 

Yuming Zhang - FAWS, FASME, FSME, SIEEE, Professor and James Boyd Professor in Electrical Engineering - has been with the University of Kentucky, Lexington, USA since 1991, and became a Full Professor in 2005. He received his BS and MS degrees in control theory and application from Harbin Institute of Technology (HIT), China, where he completed his PhD degree in welding in 1990. He has published 180 peer-reviewed journal papers and holds 8 US patents. 

Dr. Zhili Feng leads the Materials Joining Team, and is a Distinguished R&D Staff at Oak Ridge National Laboratory, where he manages 10 scientists and supporting staff, conducting both fundamental and applied R&D and pursuing technological innovations for diverse interdisciplinary subjects related to materials joining and materials manufacturing processes, with an annual R&D budget of $15 million. 

Yuming Zhang - FAWS, FASME, FSME, SIEEE, Professor and James Boyd Professor in Electrical Engineering - has been with the University of Kentucky, Lexington, USA since 1991, and became a Full Professor in 2005. He received his BS and MS degrees in control theory and application from Harbin Institute of Technology (HIT), China, where he completed his PhD degree in welding in 1990. He has published 180 peer-reviewed journal papers and holds 8 US patents. 

Dr. Zhili Feng leads the Materials Joining Team, and is a Distinguished R&D Staff at Oak Ridge National Laboratory, where he manages 10 scientists and supporting staff, conducting both fundamental and applied R&D and pursuing technological innovations for diverse interdisciplinary subjects related to materials joining and materials manufacturing processes, with an annual R&D budget of $15 million. 


The primary aim of this volume is to provide researchers and engineers from both academia and industry with up-to-date coverage of recent advances in the fields of robotic welding, intelligent systems and automation. It gathers selected papers from the 2018 International Conference on Robotic Welding, Intelligence and Automation (RWIA 2018), held Oct 20-22, 2018 in Guangzhou, China. The contributions reveal  how intelligentized welding manufacturing (IWM) is becoming an inescapable trend, just as intelligentized robotic welding is becoming a key technology. The volume is divided into four main parts: Intelligent Techniques for Robotic Welding, Sensing in Arc Welding Processing, Modeling and Intelligent Control of Welding Processing, and Intelligent Control and its Applications in Engineering.
Erscheint lt. Verlag 21.10.2019
Reihe/Serie Transactions on Intelligent Welding Manufacturing
Transactions on Intelligent Welding Manufacturing
Zusatzinfo X, 171 p.
Sprache englisch
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik Bauwesen
Technik Elektrotechnik / Energietechnik
Technik Maschinenbau
Schlagworte Advanced welding robot technologies • Digitalized welding equipment • Intelligent Control • Robotic Welding • Sensing Technologies • Virtual & digital welding
ISBN-10 981-13-7418-X / 981137418X
ISBN-13 978-981-13-7418-0 / 9789811374180
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