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Multi-objective optimization of weld geometry in hybrid fiber laser-arc butt welding using Kriging model and NSGA-II

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Abstract

An integrated multi-objective optimization approach combining Kriging model and non-dominated sorting genetic algorithm-II (NSGA-II) is proposed to predict and optimize weld geometry in hybrid fiber laser-arc welding on 316L stainless steel in this paper. A four-factor, five-level experiment using Taguchi L25 orthogonal array is conducted considering laser power (P), welding current (I), distance between laser and arc (D) and traveling speed (V). Kriging models are adopted to approximate the relationship between process parameters and weld geometry, namely depth of penetration (DP), bead width (BW) and bead reinforcement (BR). NSGA-II is used for multi-objective optimization taking the constructed Kriging models as objective functions and generates a set of optimal solutions with pareto-optimal front for outputs. Meanwhile, the main effects and the first-order interactions between process parameters are analyzed. Microstructure is also discussed. Verification experiments demonstrate that the optimum values obtained by the proposed integrated Kriging model and NSGA-II approach are in good agreement with experimental results.

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Acknowledgments

This research has been supported by the National Basic Research Program (973 Program) of China under Grant No. 2014CB046703, the National Natural Science Foundation of China (NSFC) under Grant Nos. 51323009 and 51121002, and the Fundamental Research Funds for the Central Universities, HUST: Grant No. 2014TS040. The authors also would like to thank the anonymous referees for their valuable comments.

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Authors and Affiliations

  1. State Key Lab of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China

    Zhongmei Gao, Xinyu Shao, Ping Jiang, Qi Zhou, Longchao Cao & Yilin Wang

  2. School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China

    Chunming Wang

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  1. Zhongmei Gao
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  2. Xinyu Shao
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  3. Ping Jiang
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  5. Qi Zhou
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  7. Yilin Wang
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Correspondence to Ping Jiang.

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Gao, Z., Shao, X., Jiang, P. et al. Multi-objective optimization of weld geometry in hybrid fiber laser-arc butt welding using Kriging model and NSGA-II. Appl. Phys. A 122, 610 (2016). https://doi.org/10.1007/s00339-016-0144-2

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