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无机材料学报

无机材料学报

• 研究论文 • 上一篇    下一篇

神经网络-遗传算法优化反应烧结ZrO2-SiC材料制备工艺

阎加强; 张培新+; 伍卫琼; 单松高; 隋智通++   

  1. 武汉业大学材料学院; 武汉 430070; +广西大学化工学院; 南宁530004; ++东北大学材料与冶金学院; 沈阳110006
  • 收稿日期:1997-12-03 修回日期:1998-01-02 出版日期:1998-12-20 网络出版日期:1998-12-20

Artificial Neural Networks and Genetic Algorithm Used to Optimize Process Parameters of Reaction-sintered ZrO2-SiC(p) Ceramics

YAN Jia-Qang; ZHANG Pei-Xin+; WU Wei-Qiong; SHAN Song-Gao; SUI Zhi-Tong++   

  1. Wuhan University of Technology Wuhan 430070 China; +Guangxi University Nanning 530004 China; ++Northeastern University Shenyang 110006 China
  • Received:1997-12-03 Revised:1998-01-02 Published:1998-12-20 Online:1998-12-20

PDF (PC)

962

摘要： 应用人工神经网络对反应烧结ZrO2－SiC材料制备中工艺参数与原位SiC颗粒生成量的关系进行拟合和预测，并结合遗传算法优化出了最佳制备工艺．

关键词: 人工神经网络, 遗传算法, 反应烧结, 工艺优化, ZrO2－SiC

Abstract: The effects of reaction-sintering temperature and time, forming pressure, carbon black contentand Fe powder content on in-situ SiC powder content in reaction-sintered ZrO2-SiC(p) ceramicswere studied by using artificial neural networks. The optimum process parameters were optimizedwith genetic algorithm.

Key words: artificial neural networks, genetic algorithm, reaction sintering, process parametersoptimizdtion

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