Abstract
As a kind of bolt having a spherical head, the ball stud is widely used as part of a ball joint in steering or suspension sys-tems of automobiles. Generally, the production process of ball studs consists of multi-step cold forging and screw making. This study evaluated the shear strength of joints by varying the welding current and welding pressure in the resistance welding of ball studs. The ball was made with SS400, and the stud was made with SCM435. The sample welded at current of 10.3 kA and welding pressure of 367.7 kPa was tested for its shear strength under different cooling methods. The room temperature cooling of the sample was left at about 293 K for 12 hours after heat treatment. The pressurized air cooling of the sample was subjected to a stream of air at pressure of 490 kPa for 7 seconds. Shear strength test was performed at room temperature with speed setting of 5 mm/min. The shear strength was analyzed by Weibull probability distribution. The scale parameter increased with increasing welding current at welding pressure of 367.7 kPa. The shear strength showed the least dispersion and distribution at welding current of 10.3 kA and welding pressure of 367.7 kPa.
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Recommended by Associate Editor Tae June Kang
Ki Woo Nam, Ph.D., is working on Department of Materials Science and Engineering, Pukyong National University, Busan, Korea. He has an interest in the research to fatigue fracture, structural ceramic and NDE.
In Duck Park received his Ph.D. from Yokohama National University, Japan. He is currently a Senior Researcher at Korea Institute of Machinery and Materials, Republic of Korea. His current research fields are laser heat treatment and material strength properties.
Chang-Yong Kang, Ph.D., is working on Department of Metallurgical Engineering, Pukyong National University, Busan, Korea. He has an interest in the research to damping alloy and super stainless steel.
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Park, ID., Nam, KW. & Kang, CY. Shear strength of ball studs according to the resistance welding conditions & reliability testing based on the weibull distribution function. J Mech Sci Technol 32, 5647–5652 (2018). https://doi.org/10.1007/s12206-018-1111-y
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DOI: https://doi.org/10.1007/s12206-018-1111-y