Multi-objective optimization of aluminum copper laser welding parameters based on BKA-GBRT and MOSPO

YIN Chi; GUO Yonghuan; FAN Xiying; ZHU Zhiwei; SONG Haoxuan; ZHANG Liang

doi:10.12073/j.hjxb.20240721002

TRANSACTIONS OF THE CHINA WELDING INSTITUTION > 2024 > 45(11): 140-144. > DOI: 10.12073/j.hjxb.20240721002

YIN Chi, GUO Yonghuan, FAN Xiying, ZHU Zhiwei, SONG Haoxuan, ZHANG Liang. Multi-objective optimization of aluminum copper laser welding parameters based on BKA-GBRT and MOSPO[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2024, 45(11): 140-144. DOI: 10.12073/j.hjxb.20240721002

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Multi-objective optimization of aluminum copper laser welding parameters based on BKA-GBRT and MOSPO

1.
College of Mechanical and Electrical Engineering, Jiangsu Normal University, Xuzhou, 221116, China
2.
College of Materials Science and Engineering, Xiamen University of Technology, Xiamen, 361024, China

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Received Date: July 20, 2024
Available Online: September 20, 2024

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Abstract

Abstract

Due to the significant differences in the chemical and physical properties of aluminum and copper, numerous defects can arise at the welded joint during the welding process, severely affecting the joint's performance. High-entropy alloys provide significant advantages in enhancing the welding performance of dissimilar metals. Therefore, this study employed FeCoNiCrTi high-entropy alloy powder as a filler material. Additionally, the study proposed an optimization method for welding parameters using a gradient boosting regression tree model optimized by the black-winged kite algorithm, combined with a multi-objective stochastic paint optimizer. The results indicate that under the conditions of a laser power of 677.2 W, a welding speed of 639.3 mm/min, a defocusing amount of 2.75 mm, and a high-entropy alloy addition of 0.05 g, the optimization objectives reached optimal levels. The warp deformation of the welded part decreased by 20.14%, the maximum tensile strength of the welded part increased by 49.72%, and the cost was reduced by 10.90%.
- dissimilar metal welding,
- high-entropy alloys,
- optimization algorithms,
- GBRT model,
- multi-objective parameter optimization

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References (13)

References

[1]	Lei Z, Zhang X, Liu J, et al. Interfacial microstructure and reaction mechanism with various weld fillers on laser welding-brazing of Al/Cu lap joint[J]. Journal of Manufacturing Processes, 2021, 67: 226 − 240. doi: 10.1016/j.jmapro.2021.04.065
[2]	Ma B, Gao X, Huang Y, et al. A review of laser welding for aluminium and copper dissimilar metals[J]. Optics & Laser Technology, 2023, 167: 109721.
[3]	史颖杰, 崔泽琴, 丁正祥, 等. 铝/铜蓝—红激光复合焊接头组织及性能[J]. 焊接学报, 2024, 45(3): 54 − 60. Shi Yingjie, Cui Zeqin, Ding Zhengxiang, et al. Microstructure and properties of aluminum/copper blue-red hybrid laser welded joint[J]. Transactions of the China Welding Institution, 2024, 45(3): 54 − 60.
[4]	Cha J H, Choi H W. Characterization of dissimilar aluminum-copper material joining by controlled dual laser beam[J]. The International Journal of Advanced Manufacturing Technology, 2022, 119: 1909 − 1920.
[5]	Yan S, Shi Y. Influence of Ni interlayer on microstructure and mechanical properties of laser welded joint of Al/Cu bimetal[J]. Journal of Manufacturing Processes, 2020, 59: 343 − 354. doi: 10.1016/j.jmapro.2020.09.078
[6]	Huan P C, Tang X X, Sun Q, et al. Comparative study of solder wettability on aluminum substrate and microstructure-properties of Cu-based component/aluminum laser soldering joint[J]. Materials & Design, 2022, 215: 110485.
[7]	Zhou H, Gu X, Gu X, et al. Improvement in microstructure and mechanical properties of laser welded steel/aluminum alloy lap joints using high-entropy alloy interlayer[J]. Journal of Materials Research and Technology, 2022, 20: 139 − 146. doi: 10.1016/j.jmrt.2022.07.063
[8]	Wang H, Xie J, Chen Y, et al. Effect of CoCrFeNiMn high entropy alloy interlayer on microstructure and mechanical properties of laser-welded NiTi/304SS joint[J]. Journal of Materials Research and Technology, 2022, 18: 1028 − 1037. doi: 10.1016/j.jmrt.2022.03.022
[9]	Zhang X, Guo Y, Fan X, et al. Multi-objective optimization of laser welding process parameters of steel/Al based on BO-RF and MOJS[J]. Journal of Mechanical Science and Technology, 2024, 38(2): 861 − 871.
[10]	Friedman J H. Greedy function approximation: a gradient boosting machine[J]. The Annals of Statistics, 2001, 29(5): 1189 − 1232.
[11]	Wang J, Wang W, Hu X, et al. Black-winged kite algorithm: a nature-inspired meta-heuristic for solving benchmark functions and engineering problems[J]. Artificial Intelligence Review, 2024, 57(4): 1 − 53.
[12]	Kaveh A, Talatahari S, Khodadadi N. Stochastic paint optimizer: theory and application in civil engineering[J]. Engineering with Computers, 2022, 38(3): 1921 − 1952. doi: 10.1007/s00366-020-01179-5
[13]	Khodadadi N, Abualigah L, Mirjalili S. Multi-objective stochastic paint optimizer (MOSPO)[J]. Neural Computing and Applications, 2022, 34(20): 18035 − 18058. doi: 10.1007/s00521-022-07405-z

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Multi-objective optimization of aluminum copper laser welding parameters based on BKA-GBRT and MOSPO