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Modeling and Optimization Method of Laser Cladding Based on GA-ACO-RFR and GNSGA-II

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Abstract

Laser cladding is an environmentally friendly and reliable surface modification technology. The quality characteristics of the coating are directly affected by the process parameters of laser cladding. The reasonable selection of process parameters is essential to obtain high-quality coating. In this study, the single-track 15-5PH alloy coating was fabricated on the surface of 12Cr13 stainless steel. In view of the hybrid Genetic Algorithm and Ant Colony Optimization (GA-ACO) can effectively improve the prediction ability and robustness of Random Forest Regression (RFR), a prediction method of cladding layer quality characteristics based on GA-ACO-RFR was proposed. The fast non-dominated ranking genetic algorithm with elite strategy by introducing the Gaussian distribution crossover operator (GNSGA-II) was used to optimize the process parameters of laser cladding. The results showed that the multi-objective optimization method of laser cladding process parameters proposed in this paper can obtain high-quality laser cladding coating. This work demonstrated the potential of the proposed method in laser cladding process prediction and optimization.

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Acknowledgements

We gratefully acknowledge the financial support of the Innovative Research Group of Universities in Chongqing (Grant No. CXQT21024), the “Lump-sum System” Project of Chongqing Talent Plan (cstc2022ycjh-bgzxm0056), the Chongqing Talent Program (Grant No. CQYC20210302226), the Science and Technology Research Program of Chongqing Municipal Education Commission of China (Grant No. KJZD-K202000801), and the Scientific Research Program Funded by Shaanxi Provincial Education Department (Grant No. 20JS020).

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Authors and Affiliations

  1. Chongqing Key Laboratory of Manufacturing Equipment Mechanism Design and Control, Chongqing Technology and Business University, Chongqing, 400067, China

    Guohua He, Yanbin Du, Qiang Liang & Zhijie Zhou

  2. Shaanxi Key Laboratory of Industrial Automation, Shaanxi University of Technology, Hanzhong, 723001, Shaanxi, China

    Linsen Shu

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  1. Guohua He
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Correspondence to Yanbin Du.

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He, G., Du, Y., Liang, Q. et al. Modeling and Optimization Method of Laser Cladding Based on GA-ACO-RFR and GNSGA-II. Int. J. of Precis. Eng. and Manuf.-Green Tech. 10, 1207–1222 (2023). https://doi.org/10.1007/s40684-022-00492-2

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