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Predicting non-fickian moisture diffusion in EMCs for application in micro-electronic devices

机译:预测用于微电子设备的EMC中非菲尼克斯水分扩散

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This study made an attempt to predict the temperature-dependent moisture diffusion of an epoxy molding compound with 3 different diffusion models: Fickian, dual stage and Langmuir diffusion. The Langmuir model provided the best prediction of the moisture diffusion when simulating the input experiments. Beyond the temperature range of the input experiments, the Langmuir model was still able to provide a fair prediction. Hence, the Langmuir model also provides better predictions for the moisture distribution in general. This allows for building on existing prediction models, enabling simulations of reliability tests like UHST.
机译:这项研究试图通过三种不同的扩散模型来预测环氧模塑料的随温度变化的水分扩散:Fickian扩散,双级扩散和Langmuir扩散。在模拟输入实验时,Langmuir模型提供了水分扩散的最佳预测。除了输入实验的温度范围外,Langmuir模型仍然能够提供合理的预测。因此,Langmuir模型总体上也为水分分布提供了更好的预测。这允许在现有的预测模型上进行构建,从而实现对可靠性测试(如UHST)的仿真。

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