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首页> 外文期刊>IEEE Transactions on Components and Packaging Technologies >Models for Reliability Prediction of Fine-Pitch BGAs and CSPs in Shock and Drop-Impact
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Models for Reliability Prediction of Fine-Pitch BGAs and CSPs in Shock and Drop-Impact

机译:冲击和跌落冲击下的细间距BGA和CSP的可靠性预测模型

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Drop-induced failures are most dominant in portable electronic products. In this study, explicit finite element models have been used to predict the transient dynamic behavior of various area-array package architectures assembled to printed circuit boards after drop-impact. Parameters predicted include field-quantities and their derivatives including displacement and strain. Methodologies for modeling components using smeared property formulations have been investigated. Reduced integration element formulations examined include-shell and solid elements. Model predictions have been validated with experimental data. Results show that models with smeared properties can predict transient-dynamic response of board assemblies in drop-impact, fairly accurately. A high-speed data acquisition system has been used to capture in-situ strain, continuity, and acceleration data in excess of 1 million samples per second. Ultra high-speed video at 40 000 fps has been used to capture the deformation kinematics. Component types examined include-plastic ball-grid arrays (BGAs), tape-array BGA, quad-flat no-lead packages (QFN), and conduction-cooled ball-grid arrays (C2BGA). Model predictions have been correlated with experimental data. Impact of experimental error sources on model correlation with experiments has also been investigated.
机译:跌落引起的故障在便携式电子产品中最为明显。在这项研究中,显式有限元模型已用于预测跌落冲击后组装到印刷电路板上的各种区域阵列封装结构的瞬态动态行为。预测的参数包括场量及其导数,包括位移和应变。已经研究了使用拖尾特性配方对组件建模的方法。减少的集成元素配方包括壳和固体元素。模型预测已通过实验数据验证。结果表明,具有拖尾特性的模型可以相当准确地预测板组件在跌落碰撞中的瞬态动力响应。高速数据采集系统已用于捕获每秒超过一百万个样本的原位应变,连续性和加速度数据。 40 000 fps的超高速视频已用于捕获变形运动学。所检查的组件类型包括塑料球栅阵列(BGA),胶带阵列BGA,四方扁平无引线封装(QFN)和传导冷却球栅阵列(C2BGA)。模型预测已与实验数据相关。还研究了实验误差源对模型与实验相关性的影响。

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