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Modeling and analysis of porosity and compressive strength of gradient Al2O3-ZrO2 ceramic filter using BP neural network

Li Qiang Zhang Fengfeng Yu Jingyuan Tang Ji

中国铸造2013，Vol.10Issue(4)：227-231,5.

Modeling and analysis of porosity and compressive strength of gradient Al2O3-ZrO2 ceramic filter using BP neural network

Li Qiang ¹Zhang Fengfeng ¹Yu Jingyuan ¹Tang Ji²

作者信息

1. School of Materials Science and Engineering, Liaoning University of Technology, Jinzhou 121001, Liaoning, China
2. Shenyang Research Institute of Foundry, Shenyang 110022, China
折叠

摘要

关键词

gradient Al2O3-ZrO2 ceramic foams/centrifugal process parameters/BP neural network/porosity/compressive strength

Key words

gradient Al2O3-ZrO2 ceramic foams/centrifugal process parameters/BP neural network/porosity/compressive strength

分类

矿业与冶金

引用本文复制引用

Li Qiang,Zhang Fengfeng,Yu Jingyuan,Tang Ji..Modeling and analysis of porosity and compressive strength of gradient Al2O3-ZrO2 ceramic filter using BP neural network[J].中国铸造,2013,10(4):227-231,5.

基金项目

This work was financially supported by the Natural Science Foundation of Liaoning Province (No.201102090),the Doctoral Initiating Project of Liaoning Province Foundation for Natural Sciences,China (No.20111068),the High School Development Plan for Distinguished Young Scholars of Liaoning Province Education Committee (No.LJQ2012056),the National High-Tech Research and Development Program of China ("863"Program,No.2011AA060102). （No.201102090）

中国铸造

OASCI

ISSN：1672-6421

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