The multiscale modeling and data mining of high-temperature dielectrics of SiO2/SiO2 composites

被引:1
|
作者
袁杰 [1 ]
崔超 [2 ]
侯志灵 [3 ]
曹茂盛 [3 ]
机构
[1] School of Mathematics and Computer Science,Central University of Nationalities
[2] Qiqiher University
[3] School of Material Science and Engineering,Beijing Institute of Technology
关键词
multiscale modeling; data mining; high-temperature dielectric properties; ceramic matrix composites;
D O I
暂无
中图分类号
TP391.9 [计算机仿真];
学科分类号
080203 ;
摘要
The high temperature dielectrics of Quartz fiber-reinforced silicon dioxide ceramic (SiO2/SiO2) composites were studied both theoretically and experimentally. A multi-scale theoretical model was developed based on the theory of dielectrics. It was realized to predict dielectric properties at higher temperature (>1200 °C) by experimental data mining for correlative coefficients in model. The results show that the dielectrics of SiO2/SiO2, which were calculated with the theoretical model, were in agreement with experimental measured value.
引用
收藏
页码:202 / 205
页数:4
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