METALS AND METAL MATRIX COMPOSITES |
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Optimisation of Process Parameters for Resistance Spot Welding of AA7075-T6 Aluminium Alloy |
QIU Sawei1,2, JIANG Jiachuan3, YE Tuo1,2, ZHANG Yue3,*, LEI Bei3, WANG Tao3
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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 |
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Abstract The lightweight structural design has emerged as a prominent research priority in the automotive industry and aerospace sectors due to its capacity for reducing overall vehicle weight and energy consumption while ensuring structural strength. This work presented the optimal welding process parameters for AA7075-T6 aluminium alloy, which were determined through orthogonal experiments. Tensile shear tests, metallographic observations, and microhardness tests were performed on the joints, followed by numerical simulations of the optimal parameter combinations to investigate the impact of welding process parameters on joint quality. The results demonstrate that spot welded joints exhibit superior integrated mechanical properties when subjected to a welding time of 60 ms, a welding current of 17 kA, and an electrode pressure of 0.22 MPa. It was observed that the order of influence exerted by welding parameters on mechanical properties of resistance spot weld joints is as follows:welding time > welding current > electrode pressure. The nugget size obtained from numerical simulation aligns with experimental findings. Spattering and the shrinkage defects occur within the nugget during the welding process, leading to compromised mechanical properties in joints and interfacial fracture failure modes. Due to alterations in microstructure within joints during the welding process, microhardness exhibits a ‘W' shape.
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Published: 10 September 2024
Online: 2024-09-30
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Fund:National Natural Science Foundation of China (52201074,51901199),the Outstanding Postdoctoral Innovative Talents Program of Hunan Province (2021RC2093). |
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