Fatigue Performance and Life Prediction of Aluminum Alloy Self-piercing Riveting
QIU Sawei1,2, LEI Bei3, YE Tuo1,2, ZHANG Yue3,*, JIANG Jiachuan3, WANG Tao3
1 School of Intelligent Manufacturing and Mechanical Engineering, Hunan Institute of Technology, Hengyang 421002, Hunan, China 2 Research Institute of Automobile Parts Technology, Hunan Institute of Technology, Hengyang 421002, Hunan, China 3 School of Mechanical Engineering and Mechanics, Xiangtan University, Xiangtan 411105, Hunan, China
Abstract: With the proposal of the ‘double carbon’ policy, lightweight has become an important topic for the development of various industries, and the research on lightweight aluminum alloy and its connection technology has been favored and promoted in various fields of machinery. In order to study the mechanical properties of the self-impingement rivets of aluminum alloy, the self-impingement rivets of 6061 aluminum alloy and 5754 aluminum alloy were connected by the self-impingement riveting process, and the geometric parameters, microhardness, static properties and fatigue properties of the two aluminum alloy joints were compared. The results show that the forming geometric parameters of the two aluminum alloy joints are similar, and the mechanical properties of 5754 joints are better than 6061 joints under low fatigue load and hardness in the lap area, but the mechanical properties of 6061 joints are better under high fatigue load. The fatigue life prediction models based on Paris formula for two kinds of aluminum alloy joints are established by combining the results of fretting damage analysis in the failed joints with black oxide and fatigue load. The predicted results are in good agreement with the experimental data.
通讯作者:
*张越,通信作者,湘潭大学机械工程与力学学院副教授、硕士研究生导师。2018年昆明理工大学机械制造及其自动化专业博士毕业,目前主要从事轻量化与成形技术等方面的研究工作。发表论文20余篇,包括Materials & Design、International Journal of Advanced Manufacturing Technology、Engineering Fracture Mechanics、 International Journal of Precision Engineering and Manufacturing-Green Technology、《机械工程学报》等。zhangyuely2009@126.com
作者简介: 邱飒蔚,湖南工学院智能制造与机械工程学院讲师。2022年6月湖南大学机械工程专业博士毕业。目前主要从事金属材料塑性成形、材料轻量化设计研究。发表论文10余篇,包括Structural and Multidisciplinary Optimization、 Computational Materials Science、 Rare Metal Materials and Engineering、Applied Thermal Engineering等。
引用本文:
邱飒蔚, 雷贝, 叶拓, 张越, 蒋家传, 王涛. 铝合金自冲铆疲劳性能及寿命预测[J]. 材料导报, 2024, 38(18): 24030108-7.
QIU Sawei, LEI Bei, YE Tuo, ZHANG Yue, JIANG Jiachuan, WANG Tao. Fatigue Performance and Life Prediction of Aluminum Alloy Self-piercing Riveting. Materials Reports, 2024, 38(18): 24030108-7.
1 Zhang Y, Lu Y, Peng R T, et al. Journal of Mechanical Engineering, 2024, 60(4), 259 (in Chinese). 张越, 卢岩, 彭锐涛, 等. 机械工程学报, 2024, 60(4), 259. 2 Porcaro R, Hanssen A G, Langseth M, et al. Journal of Materials Processing Technology, 2006, 171(1), 10. 3 He X C, Wang Y F, Lu Y, et al. The International Journal of Advanced Manufacturing Technology, 2015, 80, 2105. 4 Huang Z C, Zhou Z, Jiang Y. Journal of Materials Research and Technology, 2022, 18, 1070. 5 Ying L, Gao T H, Dai M H, et al. International Journal of Mechanical Sciences, 2021, 189, 105978. 6 Çavusoglu O, Bakιrcι A, Dinkçi H, et al. Science and Technology of Welding and Joining, 2022, 27(7), 579. 7 Fu P P, Ding H, Zeng X R, et al. Acta Materiae Compositae Sinica, 2023, 40(8), 4517 (in Chinese). 符平坡, 丁华, 曾祥瑞, 等. 复合材料学报, 2023, 40(8), 4517. 8 Chen G K, Zeng K, Xing B Y, et al. Journal of Materials Research and Technology, 2022, 19, 1934. 9 Chen G K, Zeng K, Xing B Y, et al. Journal of Mechanical Engineering, 2023, 58(22), 227 (in Chinese). 陈贵坤, 曾凯, 邢保英, 等. 机械工程学报, 2023, 58(22), 227. 10 Liu Y, Zhuang W M, He X C. Journal of Mechanical Engineering, 2023, 58(22), 168 (in Chinese). 刘洋, 庄蔚敏, 何晓聪. 机械工程学报, 2023, 58(22), 168. 11 Zhao L, He X, Xing B, et al. Materials & Design, 2015, 87, 1010. 12 Zhang X, He X, Wei W, et al. International Journal of Fatigue, 2020, 134, 105465. 13 Zhang X, He X, Xing B, et al. Journal of Materials Research and Technology, 2020, 9(3), 5699. 14 Yang J, Xing B Y, He X C, et al. Transactions of the China Welding Institution, 2022, 43(7), 69 (in Chinese). 杨进, 邢保英, 何晓聪, 等. 焊接学报, 2022, 43(7), 69. 15 Feng Z, Xing B Y, He X C, et al. Materials Reports, 2022, 36(1), 20100065(in Chinese). 冯震, 邢保英, 何晓聪, 等. 材料导报, 2022, 36(1), 20100065. 16 Zhang Y, Zhu L, Peng R, et al. Proceedings of the Institution of Mechanical Engineers, Part E:Journal of Process Mechanical Engineering, 2023, 237(6), 2466. 17 Huang L, Bonnen J, Lasecki J, et al. International Journal of Fatigue, 2016, 83, 230. 18 Huang L. Study on numerical riveting process, fatigue failure and fatigue life prediction of self-piercing riveted joints. Ph.D. Thesis, Nanjing University of Aeronautics and Astronautics, China, 2016 (in Chinese). 黄理. 自冲铆接头成型仿真, 疲劳失效与寿命预测方法研究. 博士学位论文, 南京航空航天大学, 2016. 19 Su Z, He R, Lin P, et al. International Journal of Fatigue, 2014, 61, 129. 20 Su Z, He R, Lin P, et al. Journal of Materials Processing Technology, 2016, 236, 162. 21 Su Z, Lin P, Lai W, et al. International Journal of Fatigue, 2015, 72, 53. 22 Lin S, Pan J. International Journal of Materials and Product Technology, 2004, 20(1-3), 31. 23 Lin S, Pan J, Wung P, et al. International Journal of Fatigue, 2006, 28(7), 792. 24 Lin P C, Pan J, Pan T. International Journal of Fatigue, 2008, 30(1), 90. 25 Lin P, Pan J, Pan T. International Journal of Fatigue, 2008, 30(1), 90. 26 Lin P, Su Z, He R, et al. International Journal of Fatigue, 2012, 38, 25. 27 Tran V, Pan J, Pan T. International Journal of Fatigue, 2008, 30(12), 2175. 28 Tran V, Pan J, Pan T. International Journal of Fatigue, 2010, 32(7), 1022. 29 Zhang S. International Journal of Fracture, 1997, 88, 167. 30 Wang D, Lin P, Pan J. International Journal of Solids and Structures, 2005, 42(24-25), 6299.