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

Jie Yuan; Chao Cui; Zhi Ling Hou; Mao Sheng Cao

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

Jie Yuan^*, Chao Cui, Zhi Ling Hou, Mao Sheng Cao

^*Corresponding author for this work

School of Material Science and Engineering

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	202-205
Number of pages	4
Journal	Journal of Harbin Institute of Technology (New Series)
Volume	14
Issue number	2
Publication status	Published - Apr 2007

Keywords

Ceramic matrix composites
Data mining
High-temperature dielectric properties
Multiscale modeling

Cite this

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title = "Multiscale modeling and data mining of high-temperature dielectrics of SiO2/SiO2 composites",

abstract = "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.",

keywords = "Ceramic matrix composites, Data mining, High-temperature dielectric properties, Multiscale modeling",

author = "Jie Yuan and Chao Cui and Hou, {Zhi Ling} and Cao, {Mao Sheng}",

year = "2007",

month = apr,

language = "English",

volume = "14",

pages = "202--205",

journal = "Journal of Harbin Institute of Technology (New Series)",

issn = "1005-9113",

publisher = "Harbin Institute of Technology",

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TY - JOUR

T1 - Multiscale modeling and data mining of high-temperature dielectrics of SiO2/SiO2 composites

AU - Yuan, Jie

AU - Cui, Chao

AU - Hou, Zhi Ling

AU - Cao, Mao Sheng

PY - 2007/4

Y1 - 2007/4

N2 - 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.

AB - 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.

KW - Ceramic matrix composites

KW - Data mining

KW - High-temperature dielectric properties

KW - Multiscale modeling

UR - http://www.scopus.com/inward/record.url?scp=34249855891&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:34249855891

SN - 1005-9113

VL - 14

SP - 202

EP - 205

JO - Journal of Harbin Institute of Technology (New Series)

JF - Journal of Harbin Institute of Technology (New Series)

IS - 2

ER -

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

Abstract

Keywords

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