Effective applications of computer-vision techniques in packaging design concept evaluation

Hua Lu, J. Zhou
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Abstract

In packaging design concept verification, interpretations of data obtained from test vehicles are preferably supported by physics based analysis. This is vital when correlation between the thermal/mechanical test data and results from accelerated life testing is sought in order to predict the service life of a prototype. A proposed approach that integrates experimental and analytical procedures has been devised for such analyses. A feature of the approach is the wide variety of the measured data. Other than the test parameters, the approach collects temperature and time dependent deformation data at board, component and interconnect levels. Measurements in this work include surface warpage, in-plane displacements, rigid-body rotation and strains, assembling or residual stress/strain, failure loads and strength limits, etc. From the raw data, further quantities were deduced by applying the theories of beams/plates and material constitutive relations to further enrich the database. Inferred data include surface curvature, cross-sectional bending moment and shearing force, stress, strain rate and strain energy density, etc. The data variety allows better confirmation of the consistency among test results obtained with different techniques. It also facilitates applications of different theories for life prediction and failure mode and root-cause diagnosis. The comparison of different model predictions for same problem is aimed to provide a guide to the reliability model selection and application. This paper presents the experimental and analytical procedures together with some application examples to illustrate the approach.
计算机视觉技术在包装设计概念评价中的有效应用
在包装设计概念验证中,从测试车辆获得的数据的解释最好得到基于物理的分析的支持。为了预测原型的使用寿命,在热/机械测试数据和加速寿命测试结果之间寻找相关性时,这一点至关重要。已经为这种分析设计了一种综合实验和分析程序的拟议方法。该方法的一个特点是测量数据的多样性很大。除了测试参数外,该方法还收集板、组件和互连层的温度和时间相关变形数据。这项工作的测量包括表面翘曲,面内位移,刚体旋转和应变,组装或残余应力/应变,破坏载荷和强度极限等。根据原始数据,应用梁/板理论和材料本构关系理论推导出进一步的数量,以进一步丰富数据库。推断数据包括曲面曲率、截面弯矩和剪力、应力、应变率、应变能密度等。数据的多样性可以更好地确认用不同技术获得的测试结果之间的一致性。它还促进了不同理论在寿命预测、失效模式和根本原因诊断方面的应用。对同一问题不同模型的预测结果进行比较,旨在为可靠性模型的选择和应用提供指导。本文给出了实验和分析过程,并举例说明了该方法的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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