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Prediction of Statistical Distribution of Vibration-Induced Solder Fatigue Failure Considering Intrinsic Variations of Mechanical Properties of Anisotropic Sn-Rich Solder Alloys

机译:考虑各向异性Sn-Rich焊料合金力学性能的内在变化的振动引起的焊料疲劳破坏的统计分布预测

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摘要

The unknown statistical distributions of two effective elastic properties of Sn-3.0Ag-0.5Cu solder joint of leadless chip resistors (LCR) are determined while considering the statistical variations of six other input variables including die thickness, solder joint height, termination length, and thickness and elastic moduli of a printed circuit board. The cyclic bending test results of the LCR assemblies are used to obtain the probability density functions of the effective elastic properties of the SAC305 solder by statistical model calibration in conjunction with an advanced uncertainty propagation analysis. The statistical distribution of cycles to failure of the same LCRs subjected to a different loading level is predicted accurately by the calibrated model, which corroborates the validity of the proposed approach.
机译:确定无铅贴片电阻(LCR)的Sn-3.0Ag-0.5Cu焊点的两个有效弹性特性的未知统计分布,同时考虑其他六个输入变量的统计变化,包括管芯厚度,焊点高度,端接长度和印刷电路板的厚度和弹性模量。 LCR组件的循环弯曲测试结果用于通过统计模型校准以及高级不确定性传播分析来获得SAC305焊料有效弹性性能的概率密度函数。校准模型可准确预测在不同负载水平下相同LCR失效的周期统计分布,从而证实了所提出方法的有效性。

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