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Transactions on Intelligent Welding Manufacturing pp 27–43Cite as

Progress and Trend in Intelligent Sensing and Control of Weld Pool in Arc Welding Process

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

Abstract

Intelligent robotic welding is a trend in the development of welding manufacturing and has a great application prospective. Weld pool dynamics plays a vital role in assuring the production of high-quality welds. Precision measurement of the weld pool surface characteristics is a bottleneck for accurate control of weld penetration as well as for successful development of next-generation intelligent welding system. In this article, the current progress in arc welding pool sensing is detailed and challenges in weld pool measurement analyzed. The key factor that hinders the development of intelligent robotic welding systems is identified and the approaches that realize the intelligent welding are also discussed. Lastly, the trend of intelligent welding manufacturing is predicted.

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Acknowledgements

This work is funded by the National Natural Science Foundation of China (61365011 and 51775256) the Scientific Research Project of Colleges and Universities of Gansu Province (2018A-018), and Hongliu Outstanding Young Talents Support Project of Lanzhou University of Technology.

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Authors and Affiliations

  1. School of Materials Science and Engineering, Lanzhou University of Technology, Lanzhou, 730050, China

    Ding Fan, Yu Shi & Ming Zhu

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

    Ding Fan, Gang Zhang & Yu Shi

Authors
  1. Ding Fan
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  2. Gang Zhang
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  3. Yu Shi
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  4. Ming Zhu
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Corresponding author

Correspondence to Ding Fan .

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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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Fan, D., Zhang, G., Shi, Y., Zhu, M. (2019). Progress and Trend in Intelligent Sensing and Control of Weld Pool in Arc Welding Process. 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_2

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