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CHEN Xinghui, ZHANG Hongshen. Process parameters optimization of 5083 aluminum alloy FSW joint based on principal component analysis and grey correlation analysis[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2023, 44(5): 62-69. DOI: 10.12073/j.hjxb.20220623001
Citation: CHEN Xinghui, ZHANG Hongshen. Process parameters optimization of 5083 aluminum alloy FSW joint based on principal component analysis and grey correlation analysis[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2023, 44(5): 62-69. DOI: 10.12073/j.hjxb.20220623001

Process parameters optimization of 5083 aluminum alloy FSW joint based on principal component analysis and grey correlation analysis

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  • Received Date: June 22, 2022
  • Available Online: April 05, 2023
  • Aim at optimizing the friction stir welding (FSW) process parameters of aluminum alloy, 5083 aluminum alloy plate was selected as the research object in this study. The mechanical properties of 5083 aluminum alloy plate under different FSW process parameters were explored. Principal component analysis (PCA) and grey relational degree (GRG) analysis were employed to analyze the test results. The optimal process parameters were obtained, and a second-order prediction model of process parameters based on GRG was established. The results show that the optimal combination of process parameters is a rotation speed of 1400 r/min, welding speed of 1 mm/s and plunge depth of 0.3 mm. The maximum tensile strength of the joint reaches 225.5 MPa, 95.4% of the base metal, and the failure displacement is 10.6 mm. Among the tested process parameters, the main factors influencing the tensile strength of the joint are plunge depth of shoulder, welding speed and rotation speed in sequence. Besides, there is no significant difference between the predicted value of the model and the calculated value. The good agreement between the regression model and the experimental data indicates that the prediction model has high reliability. The regression model can be used as the prediction model.
  • 方远方, 张华. 厚板5083铝合金搅拌摩擦焊接头沿厚度方向组织与力学性能[J]. 机械工程学报, 2022, 58(4): 94 − 101.

    Fang Yuanfang, Zhang Hua. Microstructure and mechanical properties of friction stir welded joint of thick plate 5083 aluminum alloy along thickness direction[J]. Journal of Mechanical Engineering, 2022, 58(4): 94 − 101.
    Rao D, Huber K, Heerens J, et al. Asymmetric mechanical properties and tensile behaviour prediction of aluminium alloy 5083 friction stir welding joints[J]. Materials Science & Engineering A, 2013, 565: 44 − 50.
    Mishra R S, Ma Z Y. Friction stir welding and processing[J]. Materials Science and Engineering:Reports, 2005, 50(1-2): 1 − 78. doi: 10.1016/j.mser.2005.07.001
    张华, 秦海龙, 吴会强. 工艺参数对2195铝锂合金搅拌摩擦焊接头力学性能的影响[J]. 焊接学报, 2016, 37(4): 19 − 23.

    Zhang Hua, Qin Hailong, Wu Huiqiang. Effect of process parameters on mechanical properties of friction stir welded joints of 2195 Al-Li alloy[J]. Transactions of the China Welding Institution, 2016, 37(4): 19 − 23.
    范文学, 陈芙蓉. 基于响应面法7A52高强铝合金FSW接头抗拉强度预测及优化[J]. 焊接学报, 2021, 42(9): 55 − 60. doi: 10.12073/j.hjxb.20210322001

    Fan Wenxue, Chen Furong. Prediction and optimization of tensile strength of FSW joint of 7A52 high strength aluminum alloy based on response surface method[J]. Transactions of the China Welding Institution, 2021, 42(9): 55 − 60. doi: 10.12073/j.hjxb.20210322001
    Abuajila R, Vidosav M, Aleksandar S, et al. Optimization of AA5083 friction stir welding parameters using Taguchi method[J]. Technical Gazette, 2018, 25(3): 861 − 866.
    Anil R, Kumar P J, Anil M R, et al. Optimization of friction stir welding parameters during joining of AA3103 and AA7075 aluminium alloys using Taguchi method[J]. Materials Today:proceedings, 2021, 46(17): 7733 − 7739.
    周海波, 浦娟, 龙伟民, 等. 基于田口法的高硅铝合金超高转速搅拌摩擦焊接工艺优化[J]. 焊接, 2022(2): 32 − 38.

    Zhou Haibo, Pu Juan, Long Weimin, et al. Optimization of friction stir welding process for high-silicon aluminum alloy with ultra-high rotating speed based on Taguchi method[J]. Welding& Joining, 2022(2): 32 − 38.
    高祎晗, 国旭明, 莫春立. 铝合金无减薄搅拌摩擦焊工艺优化及特征分析[J]. 焊接学报, 2019, 40(4): 141 − 147. doi: 10.12073/j.hjxb.2019400115

    Gao Yihan, Guo Xuming, Mo Chunli. Process optimization and characteristics analysis of aluminum alloy friction stir welding without thinning[J]. Transactions of the China Welding Institution, 2019, 40(4): 141 − 147. doi: 10.12073/j.hjxb.2019400115
    赵丹丹, 焦锋. 基于灰色关联分析的35CrMoV钢活塞杆激光熔覆工艺参数优化[J]. 兵工学报, 2018, 39(10): 2073 − 2080. doi: 10.3969/j.issn.1000-1093.2018.10.022

    Zhao Dandan, Jiao Feng. Optimization of laser melting process parameters of 35CrMoV steel piston rod based on grey correlation analysis[J]. Acta Armamentarii, 2018, 39(10): 2073 − 2080. doi: 10.3969/j.issn.1000-1093.2018.10.022
    王敬敏, 郭继伟, 连向军. 两种改进的灰色关联分析法的比较研究[J]. 华北电力大学学报, 2005, 32(6): 72 − 76.

    Wang Jingmin, Guo Jiwei, Lian Xiangjun. Comparative study of two improved grey correlation analysis methods[J]. Journal of North Electric Power University, 2005, 32(6): 72 − 76.
    杨来侠, 桂玉莲, 李素丽, 等. 信噪比与灰色关联分析选区激光烧结成型工艺的研究[J]. 塑料工业, 2020, 48(1): 78 − 81. doi: 10.3969/j.issn.1005-5770.2020.01.017

    Yang Laixia, Gui Yulian, Li Suli, et al. Signal noise ratio and gray correlation analysis of selective laser sintering molding process[J]. Plastic Industry, 2020, 48(1): 78 − 81. doi: 10.3969/j.issn.1005-5770.2020.01.017
    Pitchipoo P, Muthiah A, Jeyakumar K, et al. Friction stir welding parameter optimization using novel multi objective dragonfly algorithm[J]. International Journal of Lightweight Materials and Manufacture, 2021, 4(4): 460 − 467. doi: 10.1016/j.ijlmm.2021.06.006
    Shunmugasundaram M, Kumar P A, Sankar P L, et al. Optimization of process parameters of friction stir welded dissimilar AA6063 and AA5052 aluminum alloys by Taguchi technique[J]. Materials Today:Proceedings, 2020, 27(2): 871 − 876.
    张先炼, 何晓聪, 程强, 等. 1420铝锂合金自冲铆异质组合接头静力学性能研究[J]. 材料导报, 2015, 29(24): 76 − 79.

    Zhang Xianlian, He Xiaocong, Cheng Qiang, et al. Study of the static mechanical properties of 1420 aluminum-lithium alloy self-piercing riveted heterogeneous composite joints[J]. Materials Reports, 2015, 29(24): 76 − 79.
    Lei L, He X C, Xing B Y, et al. Effect of foam copper interlayer on the mechanical properties and fretting wear of sandwich clinched joints[J]. Journal of Materials Processing Tech, 2019, 274: 116285. doi: 10.1016/j.jmatprotec.2019.116285
    Anbarasi J, Yaknesh S, Sampathkumar K, et al. Performance characteristics optimization in dissimilar friction stir welding using Grey relational analysis[J]. Materials Today:Proceedings, 2022, 55(2): 294 − 298.
    Mostafa A, Parviz A. Optimization of microstructural and mechanical properties of friction stir welded A356 pipes using Taguchi method[J]. Materials Research Express, 2019, 6(6): 066545. doi: 10.1088/2053-1591/ab0d72
    王排岗, 王晓强, 刘志飞, 等. 基于灰色关联分析方法的超声滚挤压工艺参数优化[J]. 塑性工程学报, 2022, 29(3): 36 − 43. doi: 10.3969/j.issn.1007-2012.2022.03.005

    Wang Paigang, Wang Xiaoqiang, Liu Zhifei, et al. Optimization of ultrasonic rolling extrusion process parameters based on grey correlation analysis method[J]. Chinese Journal of Plastic Engineering, 2022, 29(3): 36 − 43. doi: 10.3969/j.issn.1007-2012.2022.03.005
    梁存光, 李新梅. 基于灰色关联分析与回归分析WC-12Co涂层工艺参数的多目标优化[J]. 材料导报, 2018, 32(10): 1752 − 1756. doi: 10.11896/j.issn.1005-023X.2018.10.034

    Liang Cunguang, Li Xinmei. Multi-objective optimization of WC-12Co coating process parameters based on grey correlation analysis and regression analysis[J]. Materials Reports, 2018, 32(10): 1752 − 1756. doi: 10.11896/j.issn.1005-023X.2018.10.034
    苏孺, 王朋朋, 张亮. 主轴转速对2A12铝合金搅拌摩擦焊接头组织和性能的影响[J]. 沈阳大学学报, 2019, 31(6): 443 − 447.

    Su Ru, Wang Pengpeng, Zhang Liang. Effect of spindle speed on microstructure and properties of friction stir welding joint of 2A12 aluminum alloy[J]. Journal of Shenyang University, 2019, 31(6): 443 − 447.
    朱海, 于明玉, 郭春成, 等. 6061-T6铝合金无针搅拌摩擦焊全焊缝力学性能研究[J]. 塑性工程学报, 2021, 28(12): 97 − 102. doi: 10.3969/j.issn.1007-2012.2021.12.012

    Zhu Hai, Yu Mingyu, Guo Chuncheng, et al. Research on mechanical properties of 6061-T6 aluminum alloy friction stir welding without pin[J]. Chinese Journal of Plastic Engineering, 2021, 28(12): 97 − 102. doi: 10.3969/j.issn.1007-2012.2021.12.012
    郭柱, 朱浩, 崔少朋, 等. 7075铝合金搅拌摩擦焊接头温度场及残余应力场的有限元模拟[J]. 焊接学报, 2015, 36(2): 92 − 96.

    Guo Zhu, Zhu Hao, Cui Shaopeng, et al. Finite element simulation of temperature field and residual stress field of 7075 aluminum alloy friction stir welding joint[J]. Transactions of the China Welding Institution, 2015, 36(2): 92 − 96.
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