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Dimensional Quality Control of Repeated Molded Polymer Battery Cell Housings in Automotive Energy Systems

机译:汽车能源系统重复模塑聚合物电池壳体的尺寸质量控制

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Current manufacture of alternative energy sources for automobiles, such as fuel cells and lithium-ion batteries, uses repeating energy modules to achieve targeted balances of power and weight for varying types of vehicles. Specifically for lithium-ion batteries, tens to hundreds of identical plastic parts are assembled in a repeating fashion; this assembly of parts requires complex dimensional planning and high degrees of quality control. This paper will address the aspects of dimensional quality for repeated, injection molded thermoplastic battery components and will include the following: First, dimensional variation associated with thermoplastic components is considered. Sources of variation include the injection molding process, tooling or mold, lot-to-lot material differences, and varying types of environmental exposure. Second, mold tuning and cavity matching between molds for multi-cavity production will be analyzed. The application of 3D scanning technology for mold duplication and tuning will be described. Finally, unique aspects of assembly variation modeling of assembled components from multiple cavities will be addressed. Parts with multiple mating features from multi-cavity molds require special statistical modeling to accurately evaluate assembly combinations and their potential to exceed specified tolerances. Quality monitoring also requires care to evaluate streams of variation inherent in multiple-cavity molds.
机译:目前诸如燃料电池和锂离子电池之类的汽车的替代能源的制造使用重复能量模块,以实现各种车辆的有针对性的功率和重量的余量。专门用于锂离子电池,以重复的方式组装数十到数百个相同的塑料部件;这种部件的组装需要复杂的尺寸规划和高度质量控制。本文将解决重复,注射成型热塑性电池组件的尺寸质量的方面,并将包括以下内容:首先,考虑与热塑性部件相关的尺寸变化。变异源包括注射成型工艺,工具或模具,批次批量的材料差异,以及不同类型的环境暴露。其次,将分析模具之间的模具调谐和腔匹配用于多腔生产的模具。将描述3D扫描技术对模具复制和调谐的应用。最后,将解决来自多个空腔的组装组件的组装变形模型的独特方面。具有多腔模具的多个配合特征的零件需要特殊的统计建模,以准确评估组合组合及其超出特定公差的潜力。质量监测还需要注意评估多腔模具中固有的变化流。

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