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  • Hyung Kim, Tae  (2)
  • 2010-2014  (2)
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  • 2010-2014  (2)
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  • 1
    Online Resource
    Online Resource
    ASME International ; 2014
    In:  Journal of Manufacturing Science and Engineering Vol. 136, No. 5 ( 2014-10-01)
    In: Journal of Manufacturing Science and Engineering, ASME International, Vol. 136, No. 5 ( 2014-10-01)
    Abstract: Online process monitoring in ultrasonic welding of automotive lithium-ion batteries is essential for robust and reliable battery pack assembly. Effective quality monitoring algorithms have been developed to identify out of control parts by applying purely statistical classification methods. However, such methods do not provide the deep physical understanding of the manufacturing process that is necessary to provide diagnostic capability when the process is out of control. The purpose of this study is to determine the physical correlation between ultrasonic welding signal features and the ultrasonic welding process conditions and ultimately joint performance. A deep understanding in these relationships will enable a significant reduction in production launch time and cost, improve process design for ultrasonic welding, and reduce operational downtime through advanced diagnostic methods. In this study, the fundamental physics behind the ultrasonic welding process is investigated using two process signals, weld power and horn displacement. Several online features are identified by examining those signals and their variations under abnormal process conditions. The joint quality is predicted by correlating such online features to weld attributes such as bond density and postweld thickness that directly impact the weld performance. This study provides a guideline for feature selection and advanced diagnostics to achieve a reliable online quality monitoring system in ultrasonic metal welding.
    Type of Medium: Online Resource
    ISSN: 1087-1357 , 1528-8935
    Language: English
    Publisher: ASME International
    Publication Date: 2014
    Location Call Number Limitation Availability
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  • 2
    Online Resource
    Online Resource
    ASME International ; 2013
    In:  Journal of Manufacturing Science and Engineering Vol. 135, No. 2 ( 2013-04-01)
    In: Journal of Manufacturing Science and Engineering, ASME International, Vol. 135, No. 2 ( 2013-04-01)
    Abstract: Manufacturing of lithium-ion battery packs for electric or hybrid electric vehicles requires a significant amount of joining, such as welding, to meet the desired power and capacity needs. However, conventional fusion welding processes, such as resistance spot welding and laser welding, face difficulties in joining multiple sheets of highly conductive, dissimilar materials to create large weld areas. Ultrasonic metal welding overcomes these difficulties by using its inherent advantages derived from its solid-state process characteristics. Although ultrasonic metal welding is well-qualified for battery manufacturing, there is a lack of scientific quality guidelines for implementing ultrasonic welding in volume production. In order to establish such quality guidelines, this paper first identifies a number of critical weld attributes that determine the quality of welds by experimentally characterizing the weld formation over time using copper-to-copper welding as an example. Samples of different weld quality were cross-sectioned and characterized with optical microscopy, scanning electronic microscopy (SEM), and hardness measurements in order to identify the relationship between physical weld attributes and weld performance. A novel microstructural classification method for the weld region of an ultrasonic metal weld is introduced to complete the weld quality characterization. The methodology provided in this paper links process parameters to weld performance through physical weld attributes.
    Type of Medium: Online Resource
    ISSN: 1087-1357 , 1528-8935
    Language: English
    Publisher: ASME International
    Publication Date: 2013
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
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