多尺度分析方法在含簇纳米颗粒聚合物纳米复合材料热机械性能预测中的应用

IF 3.1 Q2 MATERIALS SCIENCE, COMPOSITES Functional Composites and Structures Pub Date : 2023-04-12 DOI:10.1088/2631-6331/accc6b
Jihun Lee, Jae Hun Kim, Haolin Wang, Hyun-ju Shin
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引用次数: 0

摘要

采用分子动力学(MD)模拟方法研究了含有簇合纳米颗粒的聚合物纳米复合材料的热机械性能。将分散模型和团簇模型进行比较,发现由于团簇现象,热机械性能降低。为了有效地预测聚合物纳米复合材料的热机械性能,将MD模拟和有限元均匀化分析相结合,开发了一种多尺度分析方法。使用多尺度分析,可以获得界面的弹性模量、剪切模量和热膨胀系数(CTE),并表明由于纳米颗粒的团簇现象,界面的增强效果降低。此外,由于聚团现象,该方法可以用于准确预测聚合物纳米复合材料的弹性模量、剪切模量和CTE。
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Development of multiscale analysis method for predicting thermo-mechanical properties of polymeric nanocomposites containing clustered nanoparticles
Thermo-mechanical properties of polymeric nanocomposites containing clustered nanoparticles are investigated using molecular dynamics (MD) simulation. Comparing between the dispersion and cluster models, it is revealed that the thermo-mechanical properties are decreased due to the clustering phenomenon. For effectively predicting the thermo-mechanical properties of polymeric nanocomposites, a multiscale analysis method is developed by linking the MD simulation and finite element homogenization analysis. Using the multiscale analysis, the elastic and shear moduli, and coefficient of thermal expansion (CTE) of the interphase can be obtained, and it is revealed that the reinforcement effect of the interphase is decreased due to the cluster phenomenon of nanoparticles. In addition, it is showed that this method can be used to accurately predict the elastic and shear moduli, and CTE of polymeric nanocomposites because of the clustering phenomenon.
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来源期刊
Functional Composites and Structures
Functional Composites and Structures Materials Science-Materials Science (miscellaneous)
CiteScore
4.80
自引率
10.70%
发文量
33
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