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Prediction on Carbon/Carbon Composites Ablative Performance by Artificial Neutral Net 被引量:1
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作者 guanghui bai songhe meng boming zhang yang liu 《Journal of Materials Science & Technology》 SCIE EI CAS CSCD 2008年第6期945-952,共8页
A preliminary estimation of ablation property for carbon-carbon composites by artificial neutral net (ANN) method was presented.It was found that the carbon-carbon composites' density,degree of graphitization and ... A preliminary estimation of ablation property for carbon-carbon composites by artificial neutral net (ANN) method was presented.It was found that the carbon-carbon composites' density,degree of graphitization and the sort of matrix are the key controlling factors for its ablative performance.Then,a brief fuzzy mathe- matical relationship was established between these factors and ablative performance.Through experiments, the performance of the ANN was evaluated,which was used in the ablative performance prediction of C/C composites.When the training set,the structure and the training parameter of the net change,the best match ratio of these parameters was achieved.Based on the match ratio,this paper forecasts and evalu- ates the carbon-carbon ablation performance.Through experiences,the ablative performance prediction of carbon-carbon using ANN can achieve the line ablation rate,which satisfies the need of precision of practical engineering fields. 展开更多
关键词 碳复合材料 消融性预测 控制因素 人造神经网络
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