| 复相陶瓷材料力学性能的仿真预测 |
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| 引用本文： | 樊宁,艾兴,邓建新,高子辉. 复相陶瓷材料力学性能的仿真预测[J]. 济南大学学报(自然科学版), 2002, 16(2): 111-114 |
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| 作者姓名： | 樊宁 艾兴 邓建新 高子辉 |
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| 作者单位： | 1. 济南大学机械工程学院,山东,济南,250022
2. 山东大学机械工程学院,山东,济南,250061 |
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| 基金项目： | 国家自然科学基金 ( 5 980 5 0 12 )，山东省自然科学基金 (Q97F0 9115 ) |
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| 摘 要： | 建立了预测复相陶瓷力学性能的回归分析模型和人工神经网络模型，预测值民试验结果较为相符，模型可加快新材料的开发过程。分析了两种模型的利弊及适用条件，在实际就用中应加以选择使用。
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| 关 键 词： | 复相陶瓷 回归分析 人工神经网络 |
| 文章编号： | 1671-3559(2002)02-0111-04 |
| 修稿时间： | 2002-04-02 |
Simulation and Prediction on Mechanical Properties of Multi-phase Ceramic Materials |
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| Fan Ning ,Ai Xing ,Deng Jianxin ,Gao Zihui. Simulation and Prediction on Mechanical Properties of Multi-phase Ceramic Materials[J]. Journal of Jinan University(Science & Technology), 2002, 16(2): 111-114 |
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| Authors: | Fan Ning Ai Xing Deng Jianxin Gao Zihui |
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| Affiliation: | Fan Ning 1,Ai Xing 2,Deng Jianxin 2,Gao Zihui 1 |
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| Abstract: | Mechanical properties of multi-phase structural ceramics are important parameters to evaluate the properties of ceramic materials. Regressive model and artificial neural network are established to predict the mechanical properties. The predicting results agree well with the experimental data so that these two models can quicken the pace of developing new ceramic materials. The merits and demerits of the two models are compared respectively, thus they must be carefully chosen according to the engineering application. |
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| Keywords: | multi-phase ceramics regressive analyses artificial neural network |
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