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Chip Scale Package (CSP) solder joint reliabiltiy and modeling

机译:芯片级封装(CSP)焊点可靠性和建模

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A viscoplastic constitutive model was used ot analyze the thermally induced plastic and creep deformation and low cycle fatigue behavior fo the solder joints in Chip Scale Packages (CSP) mounted on Printed Circuit Boards (PCB). The time-dependent and time-independent viscoplastic strain rate and plastic hardenign work factors of solder material were used in 2-D plane strain finite element models. The viscoplastic strain rate data was fitted to the viscoplastic flow equation. The plastic hardening factors were considered in the evolution equation. A viscoelastic constitutive modle was used for molding compound. Finite element models, incorporating the viscoplastic flow and evolution equations ofr solder and the viscoelastic equations for molding compound, were verified by temperaute cycling tests on assembled CSPs. The effect of the cyclic frequrncy, dewell time, and temperautre cycling tests on assembled CSPs. The effect of the cyclic frequency, dwell time, and temperature ramp rate on the response of the viscoplastic deformation was studied or a tapeless lead-on-Chip (LOC) CSP sn a flexible substrate CSP. The ramp rate significantly affects the equivalent stress range in solder siginificantly affects the equivalent stress range in solder joints while a dwell time in excess of 10min per half cycel does not result in icreased strain range. The failure data from the experiments was fitted to the Weibull failure distribution and the Weibull parameters were extracted. After satisfactory correlation between teh experiment and the model was observed, the effect of material proper
机译:使用粘塑性本构模型来分析安装在印刷电路板(PCB)上的芯片级封装(CSP)中焊点的热诱导塑性和蠕变变形以及低周疲劳行为。在二维平面应变有限元模型中使用了焊料的时变和非时变粘塑性应变率以及塑性硬化功因子。将粘塑性应变率数据拟合到粘塑性流动方程。在演化方程中考虑了塑性硬化因子。粘弹性本构模型用于模塑料。通过在组装好的CSP上进行温度循环测试,验证了有限元模型,其中包括焊料的粘塑性流动和演化方程以及模塑料的粘弹性方程。循环频率,保压时间和温度循环测试对组装好的CSP的影响。研究了循环频率,停留时间和温度上升速率对粘塑性变形响应的影响,或者研究了无带芯片引线(LOC)CSP和柔性基板CSP。上升速率显着影响焊料中的等效应力范围,而显着影响焊料接头中的等效应力范围,而停留时间超过每半Cycy 10min不会导致应变范围增大。将实验的失败数据拟合到Weibull失败分布,并提取Weibull参数。经过实验与模型的令人满意的相关性,材料的效果适当

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