Robotic Welding, Intelligence and Automation

RWIA’2010

  • Tzyh-Jong Tarn
  • Shan-Ben Chen
  • Gu Fang

Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 88)

Table of contents

  1. Front Matter
  2. Intelligent Techniques for Robotic Welding

    1. Front Matter
      Pages 1-1
    2. Peter Seyffarth, Rainer Gaede
      Pages 15-21
    3. Kevin Micallef, Gu Fang, Mitchell Dinham
      Pages 23-32
    4. Shanchun Wei, Meng Kong, Tao Lin, Shanben Chen
      Pages 41-48
    5. Ziqiang Yin, Guangjun Zhang, Hongming Gao, Huihui Zhao, Lin Wu
      Pages 49-55
    6. Bowen Li, Shengqi Tan, Wenzeng Zhang
      Pages 57-64
    7. Hongtang Chen, Haichao Li, Hongming Gao, Lin Wu, Guangjun Zhang
      Pages 81-85
    8. Huajun Zhang, Chunbo Cai, Guangjun Zhang, Daming Shen
      Pages 87-95
    9. H. B. Wang, G. H. Ma, D. H. Liu, B. Z. Du
      Pages 97-105
    10. Jiyong Zhong, Huabin Chen, Shanben Chen
      Pages 115-122
    11. Hongbo Ma, Shanben Chen
      Pages 123-128
  3. Sensing of Arc Welding Processing

    1. Front Matter
      Pages 129-129
    2. Long Xue, Lili Xu, Yong Zou
      Pages 131-138

About these proceedings

Introduction

This book shows some contributions presented in the 2010 International Conference on Robotic Welding, Intelligence and Automation (RWIA’2010), Oct. 14-16, 2010, Shanghai, China.

Welding handicraft is one of the most primordial and traditional techniques, mainly by manpower and human experiences. Weld quality and efficiency are, therefore, straightly limited by the welder’s skill. In the modern manufacturing, automatic and robotic welding is becoming an inevitable trend. In recent years, the intelligentized techniques for robotic welding have a great development. The current teaching play-back welding robot is not with real-time functions for sensing and adaptive control of weld process. Generally, the key technologies on Intelligentized welding robot and robotic welding process include computer visual and other information sensing, monitoring and real-time feedback control of weld penetration and pool shape and welding quality. Seam tracking is another key technology for welding robot system. Some applications on intelligentized robotic welding technology is also described in this book, it shows a great potential and promising prospect of artificial intelligent technologies in the welding manufacturing.

Keywords

Electrical Engineering Robotic Welding Welding Automation

Editors and affiliations

  • Tzyh-Jong Tarn
    • 1
  • Shan-Ben Chen
    • 2
  • Gu Fang
    • 3
  1. 1.Washington UniversitySt. LouisUSA
  2. 2.Intelligentized Robotic Welding Technology LaboratorySchool of Materials Sci. and EnggShanghaiP.R. China
  3. 3.School of EngineeringUniversity of Western SydneyAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-19959-2
  • Copyright Information Springer Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-19958-5
  • Online ISBN 978-3-642-19959-2
  • Series Print ISSN 1876-1100
  • Series Online ISSN 1876-1119
  • About this book
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