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Robotic Welding, Intelligence and Automation

  • Tzyh-Jong Tarn
  • Shan-Ben Chen
  • Changjiu Zhou

Part of the Lecture Notes in Control and Information Sciences book series (LNCIS, volume 362)

Table of contents

  1. Front Matter
    Pages I-XII
  2. General Intelligent Robotics

    1. Wang Shenghua, Du Dong, Zhang Wenzeng, Chang Baohua, Chen Qiang
      Pages 13-20
    2. Dong Xu, Dongbin Zhao, Jianqiang Yi
      Pages 21-30
    3. L. J. Liu, H. M. Gao, G. J. Zhang, L. Wu
      Pages 31-39
    4. Xiang-min Tan, Dongbin Zhao, Jianqiang Yi
      Pages 41-49
    5. Wusheng Chou, Jing Xiao
      Pages 51-59
    6. Victor S. Cheng, L. J. Hao, X. Z. Chen, S. Zhang, Y. Z. Chen
      Pages 83-89
    7. Victor S. Cheng, Su Zhang, Xue-Song Lu, Xi-Zhang Chen, Ya-Zhu Chen
      Pages 99-104
  3. Intelligent Techniques for Robotic Welding

    1. Fan Ding, Shi Yu, Li Jianjun, Ma Yuezhou, Chen Jianhong
      Pages 117-125
    2. S. Tashiro, M. Tanaka
      Pages 127-134
    3. L. Zhou, J. F. Wang, T. Lin, S. B. Chen
      Pages 145-151
    4. Wusheng Chou, Liang You, Tianmiao Wang
      Pages 153-161
    5. Li Zhining, Du Dong, Wang Li, Chang Baohua, Zhang Hua
      Pages 163-170
    6. L. X. Zhang, L. Wu, H. M. Gao, G. J. Zhang
      Pages 187-194
    7. Chen hua-bin, Xu Tao, Chen Shan-ben, Lin Tao
      Pages 203-209
    8. Z. M. Liang, H. M. Gao, Z. J. Wang, X. H. Yu, L. Wu
      Pages 211-218
    9. Y. L. Chang, C. Zhang, Z. C. Wang, B. Lin, H. Su
      Pages 227-234
    10. Shiyi Gao, Mingyang Zhao, Lei Zhang, Yuanyuan Zou
      Pages 243-248
  4. Vision Sensing and Intelligent Control of Arc Welding Processing

    1. X. Q. Chen, H. Luo, W. J. Lin
      Pages 257-266
    2. Fan Chongjian, S. B. Chen, T. Lin
      Pages 275-280
    3. Wenzeng Zhang, Qiang Chen, Guoxian Zhang, Zhenguo Sun, Dong Du
      Pages 281-287
    4. Fanhuai Shi, Lv Zhou, Tao Lin, Shanben Chen
      Pages 289-294
    5. H. Y. Shen, T. Lin, S. B. Chen
      Pages 311-318
    6. Li Liangyu, Fu Lingjian, Zhou Xin, Li Xiang
      Pages 319-324
    7. Li Wen-hang, Chen Shan-ben, Lin Tao
      Pages 325-331
    8. F. L. Lv, S. B. Chen, S. W. Dai
      Pages 333-339
  5. Welding Automations

    1. Tian Yuan, Du dong, Hou runshi, Wang li, Cai guorui
      Pages 341-348
    2. Zhiguo Yan, De Xu, Yuan Li, Min Tan
      Pages 349-357
    3. Du Dong, Cai Guo-rui, Tian Yuan, Hou Run-shi, Wang Li
      Pages 359-366
    4. Li Xiaohui, Wang Su, Xia Caiyun, Zhu Xiaobo, Liu Xiaohui
      Pages 375-382
    5. Wan Ling-na, Zhang Hua, Hu Rong-hua
      Pages 383-389
    6. Yuan Li, De Xu, Zhiguo Yan, Min Tan
      Pages 391-399
    7. Li Liangyu, Li Xiang, Zhou Xin, Yue Jianfeng
      Pages 401-408
  6. Intelligent Control and Its Application in Engineering

About this book

Introduction

Robotic welding systems have been used in different types of manufacturing. They can provide several benefits in welding applications. The most prominent advantages of robotic welding are precision and productivity. Another benefit is that labor costs can be reduced. Robotic welding also reduces risk by moving the human welder/operator away from hazardous fumes and molten metal close to the welding arc. The robotic welding system usually involves measuring and identifying the component to be welded, we- ing it in position, controlling the welding parameters and documenting the produced welds. However, traditional robotic welding systems rely heavily upon human interv- tion. It does not seem that the traditional robotic welding techniques by themselves can cope well with uncertainties in the welding surroundings and conditions, e. g. variation of weld pool dynamics, fluxion, solid, weld torch, and etc. On the other hand, the advent of intelligent techniques provides us with a powerful tool for solving demanding re- world problems with uncertain and unpredictable environments. Therefore, it is intere- ing to gather current trends and to provide a high quality forum for engineers and researchers working in the filed of intelligent techniques for robotic welding systems. This volume brings together a broad range of invited and contributed papers that describe recent progress in this field.

Keywords

Advanced Welding Robots Methodologies for Welding Process Robotic Welding Seam Tracking Tracking Trend Welding Robot automation computer vision control intelligent control robot robotics sensing system

Editors and affiliations

  • Tzyh-Jong Tarn
    • 1
  • Shan-Ben Chen
    • 2
  • Changjiu Zhou
    • 3
  1. 1.Washington UniversitySt. LouisUSA
  2. 2.Institute of Welding EngineeringShanghai Jiao Tong UniversityShanghaiP.R. China
  3. 3.Advanced Robotics and Intelligent Control Centre (ARICC), School of Electrical and Electronic EngineeringSingapore PolytechnicSingaporeSingapore

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-73374-4
  • Copyright Information Springer-Verlag Berlin Heidelberg 2007
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-73373-7
  • Online ISBN 978-3-540-73374-4
  • Series Print ISSN 0170-8643
  • Buy this book on publisher's site
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