Transactions on Intelligent Welding Manufacturing

Addresses important technical issues concerning welding robots, such as intelligent technologies Focuses on the development of intelligent modeling, controlling, monitoring, evaluating and optimizing Presents the scientific outcomes of the 2020 International Conference on Robotic Welding, Intelligence and Automation

Autorentext

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.

Inhalt
Intelligentized technologies for robotic welding.- Advanced welding robot technologies.- Programming and simulation of welding robots.- Vision guiding and tracking technologies of welding robots.- Quality control of robotic welding.- Tele-control and network technologies for robotic welding.- Sensing technologies for welding process.- Robotic welding under special environment.- Intelligentized and digital welding equipments.- Intelligentized technologies for industrial process.