考虑热致粘弹性的3DIC TSV封装翘曲有限元分析模型的建立

M. Han, Y. Shin, K. Lim, D. Rhee
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引用次数: 2

摘要

本文提出了一种考虑热过程粘弹性和固化动力学的包装翘曲预测数值方法。当封装经历热状态时,层之间会产生残余应力。残余应力是由材料的不同热膨胀系数(CTE)和化学反应引起的。它会导致包装翘曲。由于封装翘曲会影响驱动性能、可靠性和对准问题,因此预测和控制封装翘曲对于设计过程和提高封装性能具有重要意义。对于包装翘曲的预测,通常采用有限元法。用有限元法可以计算出层间CTE不同引起的翘曲。然而,由于具有固化特性的材料的性能是随着固化而变化的,如果不考虑固化动力学,就很难正确地预测包装翘曲。为此,提出了一种考虑材料固化动力学的热变形预测方法。利用ABAQUS商用有限元软件中的用户子程序函数,建立了能表示粘弹性材料响应的广义Maxwell材料模型。用kamal - sour固化动力学方程计算了各时间增量的固化程度。然后建立了麦克斯韦材料模型参数与固化程度的关系。因此,所建立的分析模型解释了固化过程中的热量产生和材料性能随固化程度的变化。利用我们的分析模型,可以更准确地预测翘曲,从而提高封装性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Development of Finite Element Analysis Model of 3DIC TSV Package Warpage Considering Cure Dependent Viscoelasticity with Heat Generation
In this study, a numerical methodology to predict package warpage considering viscoelasticity with cure-kinetics during thermal process was proposed. When a package undergoes thermal condition, residual stress between layers occurs. The residual stress is caused by different coefficient of thermal expansion (CTE) and chemical reaction of materials. And it causes package warpage. Because package warpage can affect driven performance, reliability and alignment issues, it is important to predict and control package warpage for designing process and improving a performance of package. For a prediction of package warpage, a finite element method (FEM) is commonly used. With FEM it is able to calculate the warpage caused by different CTE between layers. However, because properties of materials, which have curing characteristic, evolves with curing, if cure-kinetics are not considered, it is difficult to predict package warpage properly. So a numerical approach for considering cure-kinetics of materials was developed to predict package warpage during thermal process. Using user subroutine function in ABAQUS commercial FEM software, we build generalized Maxwell material model which can represent viscoelastic material response. And we calculated degree of curing with Kamal-Sourour cure kinetic equation for each time increment. Then we made parameters for the Maxwell material model as function of degree of curing. As a result, the developed analysis model explains heat generation during curing process and change of material properties depending on degree of curing. With our analysis model, it is expected that more accurate prediction of warpage can be conducted and it leads to improvement of package performance.
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