Transactions on Intelligent Welding Manufacturing

1. Front Matter

   Pages i-x

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2. Feature Articles

   1. Front Matter

      Pages 1-1

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   2. Welding Process Optimization Methods: A Review

      • Heping Chen, Biao Zhang, Thomas Fuhlbrigge

      Pages 3-21

   3. Acoustic Sensing and Real-Time Control of Weld Penetration in Intelligentized Robotic Welding

      • Na Lv, Yanling Xu, Wei Tao, Hui Zhao, Shanben Chen

      Pages 23-60

   4. Vision-Based Seam Tracking in Robotic Welding: A Review of Recent Research

      • Ziheng Wang, Yanling Xu

      Pages 61-86

3. Research Papers

   1. Front Matter

      Pages 87-87

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   2. Process Parameters, Product Quality Monitoring, and Control of Powder Bed Fusion

      • Yanhu Wang, Xizhang Chen, S. Jayalakshmi, R. Arvind Singh, Konovalov Sergey, Manoj Gupta

      Pages 89-108

   3. The Key Technology of Robotic Autonomous Welding in More Subsections of Large Ship

      • Yu Han, Yanling Xu, Dongchen Kou, Zhen Hou

      Pages 109-126

   4. Numerical Simulation of Robot Base Welding Process

      • Xuewu Wang, Yong Min, Xin Zhou, Xingsheng Gu

      Pages 127-139

   5. High-Speed Photography Analysis for Underwater Flux-Cored Wire Arc Cutting Process

      • Wenhang LI, Huaidong Wang, Rui Yu, Jianxin Wang, Jiayou Wang, Mingfang Wu et al.

      Pages 141-151

   6. Effect of Low-Frequency Pulse Modulation on Microstructure and Mechanical Properties of Aluminum Alloy Joints

      • Huangsheng Xie, Zhihe Fu, Jiaxiang Xue, Li Jin, Min Xu

      Pages 153-161

4. Back Matter

   Pages 163-167

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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.

• Robotic welding
• Advanced welding robot technologies
• Virtual & digital welding
• Sensing technologies
• Intelligent control
• Digitalized welding equipment

• Shanghai Jiao Tong University, Shanghai, China

  Shanben Chen

• Department of Electrical and Computer Engineering, University of Kentucky, Lexington, USA

  Yuming Zhang

• Oak Ridge National Laboratory, Oak Ridge, USA

  Zhili Feng

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. 

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