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Transactions on Intelligent Welding Manufacturing: Volume III No. 1 2019 2020 ed. [Mīkstie vāki]

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  • Formāts: Paperback / softback, 167 pages, height x width: 235x155 mm, weight: 285 g, 117 Illustrations, color; 31 Illustrations, black and white; X, 167 p. 148 illus., 117 illus. in color., 1 Paperback / softback
  • Sērija : Transactions on Intelligent Welding Manufacturing
  • Izdošanas datums: 26-Aug-2021
  • Izdevniecība: Springer Verlag, Singapore
  • ISBN-10: 9811381941
  • ISBN-13: 9789811381942
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  • Formāts: Paperback / softback, 167 pages, height x width: 235x155 mm, weight: 285 g, 117 Illustrations, color; 31 Illustrations, black and white; X, 167 p. 148 illus., 117 illus. in color., 1 Paperback / softback
  • Sērija : Transactions on Intelligent Welding Manufacturing
  • Izdošanas datums: 26-Aug-2021
  • Izdevniecība: Springer Verlag, Singapore
  • ISBN-10: 9811381941
  • ISBN-13: 9789811381942
Citas grāmatas par šo tēmu:
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 2019 International Workshop on Intelligentized Welding Manufacturing (IWIWM’2019) in USA. 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.
Feature Articles
Welding Process Optimization Methods: A Review
3(20)
Heping Chen
Biao Zhang
Thomas Fuhlbrigge
Acoustic Sensing and Real-Time Control of Weld Penetration in Intelligentized Robotic Welding
23(38)
Na Lv
Yanling Xu
Wei Tao
Hui Zhao
Shanben Chen
Vision-Based Seam Tracking in Robotic Welding: A Review of Recent Research
61(28)
Ziheng Wang
Yanling Xu
Research Papers
Process Parameters, Product Quality Monitoring, and Control of Powder Bed Fusion
89(20)
Yanhu Wang
Xizhang Chen
S. Jayalakshmi
R. Arvind Singh
Konovalov Sergey
Manoj Gupta
The Key Technology of Robotic Autonomous Welding in More Subsections of Large Ship
109(18)
Yu Han
Yanling Xu
Dongchen Kou
Zhen Hou
Numerical Simulation of Robot Base Welding Process
127(14)
Xuewu Wang
Yong Min
Xin Zhou
Xingsheng Gu
High-Speed Photography Analysis for Underwater Flux-Cored Wire Arc Cutting Process
141(12)
Wenhang Li
Huaidong Wang
Rui Yu
Jianxin Wang
Jiayou Wang
Mingfang Wu
Sergii Yuri Maksimov
Effect of Low-Frequency Pulse Modulation on Microstructure and Mechanical Properties of Aluminum Alloy Joints
153(10)
Huangsheng Xie
Zhihe Fu
Jiaxiang Xue
Li Jin
Min Xu
Information for Authors 163(4)
Author Index 167
Dr. Shanben Chen (S B Chen) received his BS degree in industrial automation from Dalian Railway Institute (Dalian Jiao Tong University) in 1982, and received his MS and PhD 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 director of the Intelligentized Robotic Welding Technology Laboratory, SJTU.  Currently, 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.