Utilising a novel multi-electrode approach for improving micro-resistance spot welding productivity for electric-mobility battery interconnects

IF 2.9 3区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
N. Kumar, Sugumaran Minda Ramakrishnan, Kailasanathan Panchapakesan, Devarajan Subramaniam, M. Dowson, Abhishek Das
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引用次数: 1

Abstract

The micro-resistance spot welding is widely used for low-to-medium-volume applications due to its low cost, especially for cylindrical Lithium-ion cell-based modules. Using typical micro-resistance spot welding electrodes in a series configuration, two nuggets/welds are created in a single welding operation. As it is a contact joining process, productivity is limited. This paper developed a novel approach to enhance the productivity of micro-resistance spot welding, where four nuggets were produced instead of two nuggets in a single operation. The critical-to-quality criteria, including joint strength, microstructure, electrical resistance and temperature rise at joints, were demonstrated by comparing the existing and proposed approaches. A reduction in cycle time by up to 57% can be achieved by adopting the proposed approach while maintaining the weld quality.
利用一种新的多电极方法提高电动电池互连的微电阻点焊生产率
微电阻点焊由于其低成本而广泛应用于中小批量应用,特别是圆柱形锂离子电池模块。使用串联配置的典型微电阻点焊电极,在一次焊接操作中产生两个掘金/焊缝。由于它是一种接触式连接工艺,生产效率受到限制。本文提出了一种提高微电阻点焊生产率的新方法,即在一次操作中生产4个焊块而不是2个焊块。通过比较现有方法和提出的方法,论证了关键质量标准,包括接头强度、微观结构、电阻和接头温升。在保持焊接质量的同时,采用该方法可将周期时间缩短57%。
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来源期刊
Science and Technology of Welding and Joining
Science and Technology of Welding and Joining 工程技术-材料科学:综合
CiteScore
6.10
自引率
12.10%
发文量
79
审稿时长
1.7 months
期刊介绍: Science and Technology of Welding and Joining is an international peer-reviewed journal covering both the basic science and applied technology of welding and joining. Its comprehensive scope encompasses all welding and joining techniques (brazing, soldering, mechanical joining, etc.) and aspects such as characterisation of heat sources, mathematical modelling of transport phenomena, weld pool solidification, phase transformations in weldments, microstructure-property relationships, welding processes, weld sensing, control and automation, neural network applications, and joining of advanced materials, including plastics and composites.
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