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The multi-objective optimization modelling for properties of 301 stainless steel welding joints in ultra-narrow gap laser welding

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Abstract

Stainless steel has been widely used in the manufacture of metro car-body because of superior characteristics. But the traditional welding joints are prone to poor properties. Ultra-narrow gap laser welding (UNGLW) with low heat input can address property issues. However, due to the complicated parameter interaction in UNGLW, it is difficult to acquire the welding joint with excellent comprehensive properties and improve the welding efficiency simultaneously. For getting the glorious welding joint and improving efficiency, we combined response surface methodology (RSM) with multi-objective optimization to study the UNGLW process. The regressive mathematical models of four welding targets were established successfully. The influence rules of welding parameter interaction on welding targets were determined by RSM analysis. We obtained the optimal welding parameters and the optimized welding joint with excellent comprehensive properties by multi-objective optimization. The relationship between comprehensive property improvement and microstructure characteristics of the optimized welding joint was revealed. It is of great significance to improve the welding quality and efficiency of stainless steel welding joint in UNGLW.

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Acknowledgments

This study was supported by the Sichuan Science and Technology Program (grant number 2019YFG0369), Fundamental Research Funds for the Central Universities (grant number 2682018CX49), and National Natural Science Foundation of China (grant number 51605399).

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Authors and Affiliations

  1. Key Laboratory of Advanced Technologies of Materials, Ministry of Education, School of Materials Science and Engineering, Southwest Jiaotong University, 111, Section 1 North Second Ring Road, Chengdu, 610031, People’s Republic of China

    Long Chen, Tao Yang & Yuan Zhuang

  2. Nuclear Power Institute of China, Chengdu, 610213, People’s Republic of China

    WeiLin Chen

Authors
  1. Long Chen
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  2. Tao Yang
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  3. Yuan Zhuang
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  4. WeiLin Chen
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Contributions

Study conception and design: Long Chen, Tao Yang, Yuan Zhuang, and Weilin Chen; Methodology: Tao Yang; Data collection and analysis: Long Chen and Weilin Chen; Writing—original draft preparation: Long Chen; Writing—review and editing: Long Chen, Tao Yang, and Yuan Zhuang; Funding acquisition: Tao Yang and Yuan Zhuang.

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Correspondence to Tao Yang.

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Recommended for publication by Commission XVIII - Quality Management in Welding and Allied Processes

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Chen, L., Yang, T., Zhuang, Y. et al. The multi-objective optimization modelling for properties of 301 stainless steel welding joints in ultra-narrow gap laser welding. Weld World 65, 1333–1345 (2021). https://doi.org/10.1007/s40194-021-01068-5

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  • DOI: https://doi.org/10.1007/s40194-021-01068-5

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