Ultrasonic metal welding has been used to join multiple layers of battery tabs with the bus bar in lithium-ion battery assembly operations. This paper describes joint performance models for ultrasonic metal welds of multiple layers of dissimilar battery tab materials, i.e., aluminum and copper. Finite element (FE) models are developed to predict the mechanical performance of the ultrasonically welded joints. The models predict peak shear load, energy absorption capability, and failure modes, which are necessary for modeling product performance and defining process requirements for the welds. The models can be adjusted to represent different quality of welds created in conditions of underweld (UW), normal-weld (NW), or overweld (OW) using physical attributes observed through microscopic analysis. The models are validated through lap shear tests, which demonstrate excellent agreement for the maximum force in the NW condition and good agreement for the UW and OW conditions. The models provide in-depth understanding of the relationship among welding process parameters, physical weld attributes, and the weld performance. The models also provide significant insight for further development of ultrasonic welding process for battery tabs and help optimize welding process for more than four-layered joints.
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January 2017
Research-Article
Performance Prediction for Ultrasonically Welded Dissimilar Materials Joints
Liang Xi,
Liang Xi
Department of Mechanical Engineering,
University of Michigan,
Ann Arbor, MI 48109
e-mail: xiliang@umich.edu
University of Michigan,
Ann Arbor, MI 48109
e-mail: xiliang@umich.edu
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Mihaela Banu,
Mihaela Banu
Department of Mechanical Engineering,
University of Michigan,
Ann Arbor, MI 48109
e-mail: mbanu@umich.edu
University of Michigan,
Ann Arbor, MI 48109
e-mail: mbanu@umich.edu
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S. Jack Hu,
S. Jack Hu
Department of Mechanical Engineering,
University of Michigan,
Ann Arbor, MI 48109
e-mail: jackhu@umich.edu
University of Michigan,
Ann Arbor, MI 48109
e-mail: jackhu@umich.edu
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Wayne Cai,
Wayne Cai
Manufacturing Systems Research Laboratory,
General Motors R&D Center,
Warren, MI 48098
e-mail: wayne.cai@gm.com
General Motors R&D Center,
Warren, MI 48098
e-mail: wayne.cai@gm.com
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Jeffrey Abell
Jeffrey Abell
Manufacturing Systems Research Laboratory,
General Motors R&D Center,
Warren, MI 48098
e-mail: jeffrey.abell@gm.com
General Motors R&D Center,
Warren, MI 48098
e-mail: jeffrey.abell@gm.com
Search for other works by this author on:
Liang Xi
Department of Mechanical Engineering,
University of Michigan,
Ann Arbor, MI 48109
e-mail: xiliang@umich.edu
University of Michigan,
Ann Arbor, MI 48109
e-mail: xiliang@umich.edu
Mihaela Banu
Department of Mechanical Engineering,
University of Michigan,
Ann Arbor, MI 48109
e-mail: mbanu@umich.edu
University of Michigan,
Ann Arbor, MI 48109
e-mail: mbanu@umich.edu
S. Jack Hu
Department of Mechanical Engineering,
University of Michigan,
Ann Arbor, MI 48109
e-mail: jackhu@umich.edu
University of Michigan,
Ann Arbor, MI 48109
e-mail: jackhu@umich.edu
Wayne Cai
Manufacturing Systems Research Laboratory,
General Motors R&D Center,
Warren, MI 48098
e-mail: wayne.cai@gm.com
General Motors R&D Center,
Warren, MI 48098
e-mail: wayne.cai@gm.com
Jeffrey Abell
Manufacturing Systems Research Laboratory,
General Motors R&D Center,
Warren, MI 48098
e-mail: jeffrey.abell@gm.com
General Motors R&D Center,
Warren, MI 48098
e-mail: jeffrey.abell@gm.com
Manuscript received September 29, 2015; final manuscript received May 15, 2016; published online August 10, 2016. Editor: Y. Lawrence Yao.
J. Manuf. Sci. Eng. Jan 2017, 139(1): 011008 (13 pages)
Published Online: August 10, 2016
Article history
Received:
September 29, 2015
Revised:
May 15, 2016
Citation
Xi, L., Banu, M., Jack Hu, S., Cai, W., and Abell, J. (August 10, 2016). "Performance Prediction for Ultrasonically Welded Dissimilar Materials Joints." ASME. J. Manuf. Sci. Eng. January 2017; 139(1): 011008. https://doi.org/10.1115/1.4033692
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