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Intelligentized Methodology for Arc Welding Dynamical Processes

Visual Information Acquiring, Knowledge Modeling and Intelligent Control

  • Book
  • © 2009

Overview

Authors:
  1. Shan-Ben Chen

    1. Institute of Welding Engineering, Shanghai Jiao Tong University, Shangahi 200240, P R China

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    You can also search for this author in PubMed   Google Scholar

  2. Jing Wu

    1. Institute of Welding Engineering, Shanghai Jiao Tong University, Shangahi 200240, P R China

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    You can also search for this author in PubMed   Google Scholar

  • Presents Intelligent Technologies for Arc Welding Dynamical Process
  • Useful for researchers, practitioners, as well as students
  • Includes supplementary material: sn.pub/extras

Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 29)

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Table of contents (7 chapters)

  1. Front Matter

    Pages I-XXIII
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  2. Introduction

    • Shan-Ben Chen, Jing Wu
    Pages 1-33

  3. Visual Sensing Systems for Arc Welding Process

    • Shan-Ben Chen, Jing Wu
    Pages 35-55

  4. Information Acquirement of Arc Welding Process

    • Shan-Ben Chen, Jing Wu
    Pages 57-111

  5. Modeling Methods of Weld Pool Dynamics During Pulsed GTAW

    • Shan-Ben Chen, Jing Wu
    Pages 113-162

  6. Intelligent Control Strategies for Arc Welding Process

    • Shan-Ben Chen, Jing Wu
    Pages 163-220

  7. Real-Time Control of Weld Pool Dynamics During Robotic GTAW

    • Shan-Ben Chen, Jing Wu
    Pages 221-273

  8. Conclusion Remarks

    • Shan-Ben Chen, Jing Wu
    Pages 275-276

  9. Back Matter

    Pages 277-278
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Keywords

About this book

Welding handicraft is one of the most primordial and traditional technics, mainly by manpower and human experiences. Weld quality and ef?ciency are, therefore, straitly limited by the welder’s skill. In the modern manufacturing, automatic and robotic welding is becoming an inevitable trend. However, it is dif?cult for au- matic and robotic welding to reach high quality due to the complexity, uncertainty and disturbance during welding process, especially for arc welding dynamics. The information acquirement and real-time control of arc weld pool dynamical process during automatic or robotic welding always are perplexing problems to both te- nologist in weld ?eld and scientists in automation. This book presents some application researches on intelligentized methodology in arc welding process, such as machine vision, image processing, fuzzy logical, neural networks, rough set, intelligent control and other arti?cial intelligence me- ods for sensing, modeling and intelligent control of arc welding dynamical process. The studies in the book indicate that the designed vision sensing and control s- tems are able to partially emulate a skilled welder’s intelligent behaviors: observing, estimating, decision-making and operating, and show a great potential and prom- ing prospect of arti?cial intelligent technologies in the welding manufacturing.

Authors and Affiliations

  • Institute of Welding Engineering, Shanghai Jiao Tong University, Shangahi 200240, P R China

    Shan-Ben Chen, Jing Wu

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