Overview
- Addresses important technical issues concerning welding robots
- Focuses on development of intelligent modeling, controlling, monitoring, optimizing manufacturing processes
- Presents the scientific outcomes of 2022 International Conference on Robotic Welding, Intelligence & Automation
Part of the book series: Transactions on Intelligent Welding Manufacturing (TRINWM)
Included in the following conference series:
Conference proceedings info: RWIA 2022.
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Table of contents (8 papers)
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Front Matter
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Research Papers
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Front Matter
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Back Matter
Other volumes
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Transactions on Intelligent Welding Manufacturing
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Transactions on Intelligent Welding Manufacturing
Keywords
About this book
The primary aim of this book 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 2022 International Conference on Robotic Welding, Intelligence and Automation (RWIA’2022) 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.
Editors and Affiliations
About the editors
Dr. Shanben Chen (S B Chen) received his B.S. degree in industrial automation from Dalian Railway Institute (Dalian Jiao Tong University) in 1982 and received his M.S. and Ph.D. in control theory and application from Harbin Institute of Technology, China, in 1987 and 1991, respectively. He worked as a postdoctoral fellow at the National Key Laboratory of Advanced Welding Production of China in Harbin Institute of Technology (HIT) from 1993 to 1995 and as a professor from 1995 to 2000.
From 2000 to present, he has served as the special professor, Cheung Kong Scholar Program of the Ministry of Education of China & Li Ka Shing Foundation, Hong Kong, and engaged at Shanghai Jiao Tong University, China, where he is also a director of the Intelligentized Robotic Welding Technology Laboratory, SJTU. Currently, he is a senior member of the IEEE.
Dr. 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 B.S. and M.S. degrees in control theory and application from Harbin Institute of Technology (HIT), China, where he completed his Ph.D. 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.
Bibliographic Information
Book Title: Transactions on Intelligent Welding Manufacturing
Book Subtitle: Volume V No. 1 2021
Editors: Shanben Chen, Yuming Zhang, Zhili Feng
Series Title: Transactions on Intelligent Welding Manufacturing
DOI: https://doi.org/10.1007/978-981-99-9629-2
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024
Hardcover ISBN: 978-981-99-9628-5Published: 14 January 2024
Softcover ISBN: 978-981-99-9631-5Due: 11 February 2024
eBook ISBN: 978-981-99-9629-2Published: 13 January 2024
Series ISSN: 2520-8519
Series E-ISSN: 2520-8527
Edition Number: 1
Number of Pages: VIII, 150
Number of Illustrations: 38 b/w illustrations, 94 illustrations in colour
Topics: Control, Robotics, Mechatronics, Artificial Intelligence, Industrial and Production Engineering