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Modeling and Optimization of Adjustment of Human Welder on Weld Pool Dynamics for Intelligent Robot Welding

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Transactions on Intelligent Welding Manufacturing

Part of the book series: Transactions on Intelligent Welding Manufacturing ((TRINWM))

Abstract

An improved machine–human cooperative control system was developed to obtain sufficient data pairs for modeling welder’s adjustment on weld pool dynamics by data-driven approaches. Spectral analysis shows that weld widths are apparently changed due to low-frequency variations of the welder’s hand movement, which can be filtered by a low-pass filter to remove the high-frequency components. The effect of welding torch orientation on weld pool dynamics was numerically studied to understand the mechanism of human welder’s adjustment and to provide the useful data for control system optimization. A gay multiple linear regression model (GMLRM) was employed to analyze the contribution and interactive compensation of each adjusted parameter on the weld widths as the welding current randomly changes in a given range. A nonlinear adaptive kernel radial basis function neural network (AK-RBFNN) was also proposed to improve the model accuracy. Results indicate that the redundant, coupled, and integrated hand adjustments are adopted to maintain the desired weld pool status, and the human welder’s adjustment reflect nonlinear, complex characteristics. Results also show that the proposed AK-RBFNN model can appraise the weld widths with a good accuracy.

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Acknowledgements

This work is funded by the Scientific research project of university of GanSu Province (2018A-018) and Hongliu Outstanding Young Talents Support Project of Lanzhou University of Technology. The authors would like to thank the assistance from Xinxin WANG and Lei XIAO on the numerical model establishment.

Author information

Authors and Affiliations

  1. State Key Laboratory of Advanced Processing and Recycling Non-Ferrous Metals, Lanzhou University of Technology, Lanzhou, 730050, China

    Gang Zhang, Yu Shi & Ding Fan

  2. Electrical and Computer Engineering Department, Institute of Sustainable Manufacturing, University of Kentucky, Lexington, KY, 40506, USA

    Gang Zhang, Yukang Liu & Yuming Zhang

Authors
  1. Gang Zhang
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  2. Yukang Liu
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  3. Yu Shi
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  4. Ding Fan
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  5. Yuming Zhang
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Corresponding author

Correspondence to Gang Zhang .

Editor information

Editors and Affiliations

  1. Shanghai Jiaotong University, Shanghai, Shanghai, China

    Shanben Chen

  2. Depart. of Electrical and Comp. Eng., University of Kentucky Depart. of Electrical and Comp. Eng., Lexington, KY, USA

    Yuming Zhang

  3. Oak Ridge National Laboratory, Oak Ridge, USA

    Zhili Feng

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© 2019 Springer Nature Singapore Pte Ltd.

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Zhang, G., Liu, Y., Shi, Y., Fan, D., Zhang, Y. (2019). Modeling and Optimization of Adjustment of Human Welder on Weld Pool Dynamics for Intelligent Robot Welding. In: Chen, S., Zhang, Y., Feng, Z. (eds) Transactions on Intelligent Welding Manufacturing. Transactions on Intelligent Welding Manufacturing. Springer, Singapore. https://doi.org/10.1007/978-981-13-7418-0_1

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