Advanced Search
HU Wei, CHANG Xinxin, JI Shude, LI Feng, SONG Qi, NIU Shiyu. Parameters optimization for friction stir lap welding of Al/Mg dissimilar alloys based on RBF-GA[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2020, 41(6): 54-59, 84. DOI: 10.12073/j.hjxb.20190806002
Citation: HU Wei, CHANG Xinxin, JI Shude, LI Feng, SONG Qi, NIU Shiyu. Parameters optimization for friction stir lap welding of Al/Mg dissimilar alloys based on RBF-GA[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2020, 41(6): 54-59, 84. DOI: 10.12073/j.hjxb.20190806002

Parameters optimization for friction stir lap welding of Al/Mg dissimilar alloys based on RBF-GA

More Information
  • Received Date: August 05, 2019
  • Available Online: September 26, 2020
  • The hybrid of RBF neural network with genetic algorithm (GA) was employed to optimize process parameters of rotating velocity, welding speed, Zn interlayer thickness and ultrasound power, thus obtaining a dissimilar 7075-T6 Al/AZ31B Mg Zn-added ultrasound assisted friction stir lap welding joint with a high quality. The results stated that the prediction accuracy of the trained RBF neural network was accepted. GA was combined with RBF neural network, and the optimal combination of welding process parameters was obtained after many iterations. The verification test was performed under the executable optimal solution which consisted of the rotating velocity of 1 037 r/min, the welding speed of 82 mm/min, the Zn interlayer thickness of 0.04 mm and the ultrasound power of 1 440 W. The tensile shear load of the joint was reached 8 860 N, which was 11.4% larger than that of the reported optimal joint. The artificial intelligence optimization method of RBF neural network with GA can accurately predict and optimize the joint quality, which has great time and economic advantages.
  • Huang Y X, Meng X C, Zhang Y B, et al. Micro friction stir welding of ultra-thin Al-6061 sheets[J]. Journal of Materials Processing Technology, 2017, 250: 313 − 319. doi: 10.1016/j.jmatprotec.2017.07.031
    Ji S D, Li Z W, Zhang L G, et al. Effect of lap configuration on magnesium/aluminum friction stir lap welding assisted by external stationary shoulder[J]. Materials and Design, 2016, 103: 160 − 170. doi: 10.1016/j.matdes.2016.04.066
    Mohammadi J, Behnamian Y, Mostafaei A, et al. Friction stir welding joint of dissimilar materials between AZ31B magnesium and 6061 aluminum alloys: microstructure studies and mechanical characterizations[J]. Materials Characterization, 2015, 101: 189 − 207. doi: 10.1016/j.matchar.2015.01.008
    Liu Z L, Yang K, Ji S D. Reducing intermetallic compounds of Mg/Al joint in friction stir lap welding[J]. Journal of Materials Engineering and Performance, 2018, 27(11): 5605 − 5612. doi: 10.1007/s11665-018-3705-z
    Wang X J, Zhang Z K, Da C B, et al. Microstructures and properties analysis of dissimilar metal joint in the friction stir welded copper to aluminum alloy[J]. China Welding, 2007, 16(1): 57 − 62.
    Bozkurt Y. The optimization of friction stir welding process parameters to achieve maximum tensile strength in polyethylene sheets[J]. Materials & Design, 2012, 35: 440 − 445.
    Shanavas S, Dhas J E R. Parametric optimization of friction stir welding parameters of marine grade aluminium alloy using response surface methodology[J]. Transactions of Nonferrous Metals Society of China, 2017(11): 24 − 34.
    杨亚超, 全惠敏, 邓林峰, 等. 基于神经网络的焊机参数预测方法[J]. 焊接学报, 2018, 39(1): 32 − 36. doi: 10.12073/j.hjxb.2018390008

    Yang Yachao, Quan Huimin, Deng Linfeng, et al. Prediction method of welding machine parameters based on neural network[J]. Transactions of the China Welding Institution, 2018, 39(1): 32 − 36. doi: 10.12073/j.hjxb.2018390008
    Panneerselvam K, Aravindan S, Haq A N. Hybrid of ANN with genetic algorithm for optimization of frictional vibration joining process of plastics[J]. International Journal of Advanced Manufacturing Technology, 2009, 42(7-8): 669 − 677. doi: 10.1007/s00170-008-1641-z
    龙振华, 程蓉. 基于人工智能的薄板电阻点焊数值分析及工艺参数优化[J]. 组合机床与自动化加工技术, 2013(6): 139 − 141. doi: 10.3969/j.issn.1001-2265.2013.06.042

    Long Zhenhua, Cheng Rong. Numerical simulation and process optimization of thin sheet resistance spot welding based on artificial intelligence[J]. Modular Machine Tool & Automatic Manufacturing Technique, 2013(6): 139 − 141. doi: 10.3969/j.issn.1001-2265.2013.06.042
    Nagesh D S, Datta G L. Genetic algorithm for optimization of welding variables for height to width ratio and application of ANN for prediction of bead geometry for TIG welding process[J]. Applied Soft Computing, 2010, 10(3): 897 − 907. doi: 10.1016/j.asoc.2009.10.007
    Babu K K, Panneerselvam K, Sathiya P, et al. Parameter optimization of friction stir welding of cryorolled AA2219 alloy using artificial neural network modeling with genetic algorithm[J]. The International Journal of Advanced Manufacturing Technology, 2018, 94(9-12): 3117 − 3129. doi: 10.1007/s00170-017-0897-6
    Darzi Naghibi H, Shakeri M, Hosseinzadeh M. Neural network and genetic algorithm based modeling and optimization of tensile properties in FSW of AA 5052 to AISI 304 dissimilar joints[J]. Transactions of the Indian Institute of Metals, 2016, 69(4): 891 − 900. doi: 10.1007/s12666-015-0572-2
    Gan R, Jin Y. Friction stir-induced brazing of Al/Mg lap joints with and without Zn interlayer[J]. Science & Technology of Welding & Joining, 2018, 23: 164 − 171.
    Ji S, Niu S, Liu J. Dissimilar Al/Mg alloys friction stir lap welding with Zn foil assisted by ultrasonic[J]. Journal of Materials Science & Technology, 2019, 35: 1712 − 1718.
    Rai R, De A, Bhadeshia H, et al. Friction stir welding tools[J]. Science and Technology of Welding and Joining, 2011, 16(4): 325 − 342. doi: 10.1179/1362171811Y.0000000023
    Ji S, Niu S, Liu J, et al. Friction stir lap welding of Al to Mg assisted by ultrasound and a Zn interlayer[J]. Journal of Materials Processing Technology, 2019, 267: 141 − 151. doi: 10.1016/j.jmatprotec.2018.12.010
    Niu S, Ji S, Yan D, et al. AZ31B/7075-T6 alloys friction stir lap welding with a zinc interlayer[J]. Journal of Materials Processing Technology, 2019, 263: 82 − 90. doi: 10.1016/j.jmatprotec.2018.08.009
  • Related Articles

    [1]WANG Qun, YU Yang, QIAN Zhiqiang. Optimization of process parameters for electron beam butt welding of HR-2 hydrogen resistant steel based on response surface method[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2023, 44(4): 50-57. DOI: 10.12073/j.hjxb.20220522001
    [2]ZENG Kai, SUN Xiaoting, XING Baoying, FENG Yuyang. Process optimization and fracture characteristic analysis of DP780 high strength steel weld-bonding[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2020, 41(4): 77-83. DOI: 10.12073/j.hjxb.20191017001
    [3]ZHOU Li, JIANG Zhihua, LEI Shugui, YU Mingrun, ZHAO Hongyun. Process study for friction stir lap welding of copper/steel dissimilar metals[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2019, 40(4): 22-27. DOI: 10.12073/j.hjxb.2019400094
    [4]ZHAO Dawei1, LIANG Dongjie2, WANG Yuanxun3. Research on process parameters optimization of small scale resistance spot welding via regression analysis[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2018, 39(4): 79-83. DOI: 10.12073/j.hjxb.2018390100
    [5]ZHAO Dawei1, KANG Yuyun1, YI Rongtao2, LIANG Dongjie3. Research on process parameters optimization of laser welding for dual phase steel DP600[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2018, 39(1): 65-69. DOI: 10.12073/j.hjxb.2018390015
    [6]HUANG Pengfei, XIONG Wei, YAN Hengyu, LU Zhenyang. GMAW parameter optimization for lap joints of dissimilar AHSS[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2015, 36(7): 1-4.
    [7]LU Zhenyang, TANG Chao, XIONG Wei, HUANG Pengfei. Parameter optimization for MAG of DP780[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2013, (12): 9-12.
    [8]WANG Dongsheng, YANG Bin, TIAN Zongjun, SHEN Lida, HUANG Yinhui. Process parameters optimization of nanostructured ZrO2-7%Y2O3 coating deposited by plasma spraying based on genetic algorithms and neural networks[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2013, (3): 10-14.
    [9]TIAN Yanhong, YANG Dongsheng, WANG Chunqing. Optimization on parameters of electronic flame off process of ball bonds with fine diameter copper wire[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2011, (1): 41-44.
    [10]ZHANC Ben-sheng, ZHOU Hong, YU Yong-li. Optimizing Parameters or A New Sprying Material[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2000, (4): 58-60.
  • Cited by

    Periodical cited type(4)

    1. 郑广振,韩红彪,王锐,张鹏. 基于正交试验的电火花沉积电极摆动工艺. 焊接学报. 2025(03): 43-50+136 . 本站查看
    2. 崔琦,郭玉波,韩红彪. 面接触的旋转圆柱电极直径对电火花沉积层形貌的影响. 焊接. 2025(04): 15-20+27 .
    3. 李晓迪,程战,邹斌华,王蒙. 电火花沉积技术研究现状及发展趋势. 电加工与模具. 2024(S1): 18-25 .
    4. 侯玉杰,韩红彪,杨鑫,郑广振. 电火花沉积的放电参数闭环控制系统研制. 焊接学报. 2023(09): 53-59+132 . 本站查看

    Other cited types(2)

Catalog

    Article views (334) PDF downloads (20) Cited by(6)

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return