Dealing with IC package material and design uncertainties using FUZZY finite elements

B. Vandevelde, I. Konstantinou, D. Moens, D. Vandepitte
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引用次数: 2

Abstract

In this work, a new method is proposed using Fuzzy finite element modelling (FFEM) which is a non-probabilistic approach to deal with uncertainties. This method requires one order lower number of simulations than the more commonly used Monte Carlo approach to predict the distribution on the output variables. The method is demonstrated on a thermo-mechanical stress case study with overmould material properties as input variables (uncertainties) and the package warpage at reflow temperature and the die stress at minimum temperature as output variables. For three well-chosen input uncertainties, the distribution of the output variables are predicted using the FFEM method, based on a parameter set of only 15 simulations. This distribution is verified with 1000 simulations based on the Monte-Carlo probabilistic approach.
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用模糊有限元法处理集成电路封装材料和设计的不确定性
本文提出了一种处理不确定性的非概率方法——模糊有限元模型。该方法所需的模拟次数比常用的蒙特卡罗方法少一个数量级,以预测输出变量的分布。该方法在一个热-机械应力案例研究中得到了验证,该研究以覆模材料性能作为输入变量(不确定性),再流温度下的封装翘曲和最低温度下的模具应力作为输出变量。对于三个精心选择的输入不确定性,使用FFEM方法预测输出变量的分布,基于仅15个模拟的参数集。基于蒙特卡罗概率方法的1000次模拟验证了这种分布。
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