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© 2019

Transactions on Intelligent Welding Manufacturing

Volume II No. 2 2018

  • Shanben Chen
  • Yuming Zhang
  • Zhili Feng
Conference proceedings

Part of the Transactions on Intelligent Welding Manufacturing book series (TRINWM)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Feature Articles

    1. Front Matter
      Pages 1-1
    2. Bintao Wu, Zengxi Pan, Stephen van Duin, Huijun Li
      Pages 3-18
  3. Research Papers

    1. Front Matter
      Pages 19-19
    2. Anwer Al-Obaidi, Candice Majewski
      Pages 21-38
    3. Jiyong Zhong, Yanling Xu, Huabin Chen, Na Lv, Shanben Chen
      Pages 39-57
    4. Chendi Lu, Xingang Miao, Su Wang, Chenxi Zhang
      Pages 59-68
    5. Yanfeng Gao, Qisheng Wang, Yanfeng Gong, Linran Huang
      Pages 69-84
    6. Lichun Meng, Xiaohong Sun, Yongming Cheng, Gongxiang Zhao, Jijin Xu
      Pages 85-95
    7. Xuedong Li, Xingang Miao, Su Wang
      Pages 97-108
    8. Yingming Wu, Chao Hu, Xizhang Chen
      Pages 131-141
  4. Short Papers and Technical Notes

    1. Front Matter
      Pages 143-143
    2. Hongyan Duan, Xiaoyu Zhang, Wensi He
      Pages 145-157
  5. Back Matter
    Pages 169-171

About these proceedings

Introduction

Transactions on Intelligent Welding Manufacturing (TIWM) mainly publishes selected high quality papers from the proceedings of the conference series “International Workshop on Intelligentized Welding Manufacturing (IWIWM)” and “International Conference on Robotic Welding, Intelligence and Automation (RWIA)”, as well as freely contributed and peer-reviewed original research papers.

Keywords

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

Editors and affiliations

  • Shanben Chen
    • 1
  • Yuming Zhang
    • 2
  • Zhili Feng
    • 3
  1. 1.Shanghai Jiao Tong UniversityShanghaiChina
  2. 2.Department of Electrical and Computer EngineeringUniversity of KentuckyLexingtonUSA
  3. 3.Oak Ridge National LaboratoryOak RidgeUSA

About the editors

Dr. Shanben Chen (SB 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. Prof. Chen has also been a visiting professor at the University of Western Sydney (UWS) in connection with the ARC Linkage collaboration since 2009. 

Currently, Prof. Chen is a senior member of the IEEE; a member of the American Welding Society; Chair of the Robotics & Automation Committee of the Chinese Welding Society (CWS); Deputy Secretary-General of the Chinese Welding Society; 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 fundament
al 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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