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Robotic Welding, Intelligence and Automation

RWIA’2014

  • Conference proceedings
  • © 2015

Overview

Editors:
  1. Tzyh-Jong Tarn

    1. Washington University, St. Louis, USA

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  2. Shan-Ben Chen

    1. School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai, China

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    You can also search for this editor in PubMed   Google Scholar

  3. Xiao-Qi Chen

    1. Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand

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  • Recent research in robotic welding, intelligence and automation
  • Scientific outcome of the 2014 International Conference on Robotic Welding, Intelligence and Automation (RWIA'2014) held in Shanghai, on Oct. 16-18, 2014
  • Reflects the present and future of advanced welding robots, robotic welding, artificial intelligent and automatic welding
  • Includes supplementary material: sn.pub/extras

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 363)

Included in the following conference series:

Conference proceedings info: RWIA 2014.

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Table of contents (55 papers)

  1. Front Matter

    Pages i-xii
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  2. Intelligent Techniques for Robotic Welding

    1. Front Matter

      Pages 1-1
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    2. On Intelligentized Welding Manufacturing

      • Shan-Ben Chen
      Pages 3-34

    3. Effects of Arc-Sidewall Distance on Arc Appearance in Narrow Gap MAG Welding

      • Hu Lan, Hua-Jun Zhang, De-Long Zhao, A-Jing Chen, Shang-Yang Lin
      Pages 35-45

    4. Tacked Weld Point Recognition from Geometrical Features

      • Fu-Qiang Liu, Zong-Yi Wang, Xing-Jian Wang, Yu Ji
      Pages 47-56

    5. Tracking on Right-Angle Weld with Drain Holes by Robot

      • Jian Le, Hua Zhang, Fei Wu, Feng-Yu Yuan
      Pages 57-65

    6. Welding Robot with Laser Tracking System Used in High-Mobility Off-road Vehicle Rack Girder

      • Xing-Wang Wen, Li-Qin Li, Ying Jing, Li-Hong Yan, Li-Bin Zhao, Jin-Liang Zhang
      Pages 67-76

    7. Partition Mutation PSO for Welding Robot Path Optimization

      • Xue-Wu Wang, Ying-Pan Shi, Xing-Sheng Gu, Dong-Yan Ding
      Pages 77-86

    8. Influence of Heat Input on the Performance of Joint with Filling Wire Laser Welding 5A06 Aluminum Alloy

      • Yangchun Yu, Yanling Xu, Guodong Xu, Ajing Chen, Shanben Chen
      Pages 87-94

    9. Feature Extraction from Arc Signal for Height Tracking System of P-MAG Welding

      • Zhen Ye, Hua-Bin Chen, Fang Gu, Shan-Ben Chen
      Pages 95-107

    10. Research of Laser Hybrid Welding for T-Joint in the Box Girder

      • Yang-Chun Yu, Kong Bao, Yan-Ling Xu, A-Jing Chen, Hua-Jun Zhang, Shan-Ben Chen
      Pages 109-117

    11. Development of Laser Processing Robot Integrated System Solution (LAPRISS) for Remote Laser Welding

      • Jing-Bo Wang, Tatsuyuki Nakagawa, Yasushi Mukai, Hitoshi Nishimura, Makoto Ryudo, Atsuhiro Kawamoto
      Pages 119-131

    12. On the Mechanism and Detection of Porosity During Pulsed TIG Welding of Aluminum Alloys

      • Yiming Huang, Zhifeng Zhang, Na Lv, Shanben Chen
      Pages 133-143

    13. Design of a Scalable Wall Climbing Robot for Inter-plane Traversing

      • Yuan Chang, Xiaoqi Chen
      Pages 145-158

    14. Handheld Device System Development for Video Camera Movement Control System

      • Jing-Jie He, Su Wang, Xin-Gang Miao
      Pages 159-166

    15. Research of One Torch Double-Wire Pipeline Welding Robot

      • Xin-Gang Miao, Feng Zhang, Zhi-Feng Ma, Yi Zhang
      Pages 167-173

    16. Optimal Motion Planning on 120° Broken Line Seam for a Mobile Welding Robot

      • Tao Zhang, Shan-Ben Chen
      Pages 175-183

    17. A Self-calibration Algorithm with Chaos Particle Swarm Optimization for Autonomous Visual Guidance of Welding Robot

      • Wei-Feng Ni, Shan-Chun Wei, Tao Lin, Shan-Ben Chen
      Pages 185-195

    18. Simultaneous Calibration of a Stereo Vision System and a Welding Robot-an Automated Approach

      • Mitchell Dinham, Gu Fang
      Pages 197-211

  3. Sensing of Arc Welding Processing

    1. Front Matter

      Pages 213-213
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  1. Robotic Welding, Intelligence and Automation

Keywords

About this book

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 2014 International Conference on Robotic Welding, Intelligence and Automation (RWIA’2014), held Oct. 25-27, 2014, at Shanghai, 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

  • Washington University, St. Louis, USA

    Tzyh-Jong Tarn

  • School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai, China

    Shan-Ben Chen

  • Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand

    Xiao-Qi Chen

Bibliographic Information

  • Book Title: Robotic Welding, Intelligence and Automation

  • Book Subtitle: RWIA’2014

  • Editors: Tzyh-Jong Tarn, Shan-Ben Chen, Xiao-Qi Chen

  • Series Title: Advances in Intelligent Systems and Computing

  • DOI: https://doi.org/10.1007/978-3-319-18997-0

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2015

  • Softcover ISBN: 978-3-319-18996-3Published: 27 July 2015

  • eBook ISBN: 978-3-319-18997-0Published: 15 July 2015

  • Series ISSN: 2194-5357

  • Series E-ISSN: 2194-5365

  • Edition Number: 1

  • Number of Pages: XII, 640

  • Number of Illustrations: 403 b/w illustrations, 52 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence, Robotics and Automation

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