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Based on Multi-sensor of Roughness Set Model of Aluminum Alloy Pulsed GTAW Seam Forming Control Research

  • Jiyong ZhongEmail author
  • Yanling Xu
  • Huabin Chen
  • Na Lv
  • Shanben Chen
Conference paper
Part of the Transactions on Intelligent Welding Manufacturing book series (TRINWM)

Abstract

For the automatic aluminum GTAW, weld backside width is an important feature to be regulated in real-time weld forming control. For most welding conditions, the weld backside condition is difficult to be monitored in real time. Therefore, this paper combines visual sensing, arc sensing, and sound sensing to extract weld feature information in real time. Based on the rough set model, the multi-information fusion is proposed, and a prediction model of the weld backside width is proposed to realize the backside width control. And a fuzzy controller with genetic improvement is designed. The multi-information fusion prediction model based on roughness set is used to control the weld backside width in real time, and the control of the robot aluminum alloy GTAW weld forming is realized.

Keywords

Weld forming control Visual sensing Arc sensing Sound sensing Robot welding 

Notes

Acknowledgements

This work is partly supported by the National Natural Science Foundation of China (51405298 and 61401275).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Jiyong Zhong
    • 1
    Email author
  • Yanling Xu
    • 1
  • Huabin Chen
    • 1
  • Na Lv
    • 1
  • Shanben Chen
    • 1
  1. 1.School of Materials Science and EngineeringShanghai Jiao Tong UniversityShanghaiChina

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