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Robotic Welding, Intelligence and Automation

RWIA’2010

  • Conference proceedings
  • © 2011

Overview

Editors:
  1. Tzyh-Jong Tarn

    1. Washington University, St. Louis, USA

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  2. Shan-Ben Chen

    1. Intelligentized Robotic Welding Technology Laboratory, School of Materials Sci. and Engg, Shanghai, P.R. China

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  3. Gu Fang

    1. School of Engineering, University of Western Sydney, Australia

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  • Scientific outcome of the 2010 International Conference on Robotic Welding, Intelligence and Automation (RWIA'2010) held in Shanghai, on Oct. 16-18, 2010
  • Recent research in robotic welding, intelligence and automation
  • Written by leading experts in this field

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

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Table of contents (60 papers)

  1. Front Matter

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  2. Intelligent Techniques for Robotic Welding

    1. Front Matter

      Pages 1-1
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    2. Research Evolution on Intelligentized Technologies for Robotic Welding at SJTU

      • S. B. Chen
      Pages 3-14

    3. Image Processing for Automated Robotic Welding

      • Peter Seyffarth, Rainer Gaede
      Pages 15-21

    4. Automatic Seam Detection and Path Planning in Robotic Welding

      • Kevin Micallef, Gu Fang, Mitchell Dinham
      Pages 23-32

    5. Error Compensation and Calibration of Inter-section Line Welding Robot Based on a Wavelet Neural Network

      • Su Wang, Xingang Miao, Yuan Yang, Xingai Peng
      Pages 33-40

    6. Autonomous Seam Acquisition and Tracking for Robotic Welding Based on Passive Vision

      • Shanchun Wei, Meng Kong, Tao Lin, Shanben Chen
      Pages 41-48

    7. A Framework of Intelligent Remanufacturing System Based on Robotic Arc Welding

      • Ziqiang Yin, Guangjun Zhang, Hongming Gao, Huihui Zhao, Lin Wu
      Pages 49-55

    8. A Fast GPI Line Detection Method for Robot Seam Tracking

      • Bowen Li, Shengqi Tan, Wenzeng Zhang
      Pages 57-64

    9. Mechanism Design and Kinematics Modeling of Irregular Cross-Section Pipeline Welding Robot

      • Xinghua Tao, Hongwu Zhu, Lili Xu
      Pages 65-72

    10. Combined Planning between Welding Pose and Welding Parameters for an Arc Welding Robot

      • Huanming Chen, Yichen Meng, Xiaofeng Wang
      Pages 73-80

    11. Optimal Digital Filtering for Tremor Suppression in a Master-Slave Robot Remote Welding System

      • Hongtang Chen, Haichao Li, Hongming Gao, Lin Wu, Guangjun Zhang
      Pages 81-85

    12. Coordinated Motion of Different Weld Robots Based on User Coordinates

      • Huajun Zhang, Chunbo Cai, Guangjun Zhang, Daming Shen
      Pages 87-95

    13. Research on Information Transmission of a Welding Robot Based on Network

      • H. B. Wang, G. H. Ma, D. H. Liu, B. Z. Du
      Pages 97-105

    14. Survey on Modeling and Controlling of Welding Robot Systems Based on Multi-agent

      • Chengdong Yang, Shanben Chen
      Pages 107-113

    15. Research on the Robotic Arc Welding of a Five-Port Connector

      • Jiyong Zhong, Huabin Chen, Shanben Chen
      Pages 115-122

    16. Mixed Logical Dynamical Model for Robotic Welding System

      • Hongbo Ma, Shanben Chen
      Pages 123-128

  3. Sensing of Arc Welding Processing

    1. Front Matter

      Pages 129-129
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    2. A Method of Seam Tracking Based on Passive Vision

      • Long Xue, Lili Xu, Yong Zou
      Pages 131-138

    3. Research on a Trilines Laser Vision Sensor for Seam Tracking in Welding

      • Zengwen Xiao
      Pages 139-144
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Keywords

About this book

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.

Editors and Affiliations

  • Washington University, St. Louis, USA

    Tzyh-Jong Tarn

  • Intelligentized Robotic Welding Technology Laboratory, School of Materials Sci. and Engg, Shanghai, P.R. China

    Shan-Ben Chen

  • School of Engineering, University of Western Sydney, Australia

    Gu Fang

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