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Predicting non-Fickian moisture diffusion in EMCs for application in Micro-electronic devices

机译:预测EMC中非菲克式的水分扩散,以用于微电子设备

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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 and enabling simulations of reliability tests like UHST. (C) 2016 Elsevier Ltd. All rights reserved.
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温度依赖性湿气扩散:Fickian,双级和Langmuir扩散。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。这样就可以在现有的预测模型上进行构建,并可以对可靠性测试(如UHST)进行仿真。 (C)2016 Elsevier Ltd.保留所有权利。

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