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Analysis and Prediction of Sintering Behavior of Diphase Sialon and Diphase β—Sialon/Alumina Composites by Artificial Neural Network

机译:人工神经网络对双相Sialon和双相β-Sialon/氧化铝复合材料烧结行为的分析和预测

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摘要

In this paper,the sintering behavior of diphase β-Sialon and Al2O3/diphase β-Sialon composites has been studied and predicted by using ANN (Artificial Neural Network) method.It is found that relative density is well correlated with phase composition and sintering temperature and that the predicted values by this method are very clos to experimental results.Effectiveness of modeling has been discussed nd analyzed by presenting formulas, This may be the first attempt of applying ANN mthod in the study of refractories science and has indicated that ANN is an efficeint method.
机译:本文利用人工神经网络方法研究并预测了双相β-Sialon和Al2O3 /双相β-Sialon复合材料的烧结行为。发现相对密度与相组成和烧结温度密切相关。并通过给出公式对建模的有效性进行了讨论和分析,这可能是将ANN方法应用于耐火材料科学研究的首次尝试,并表明ANN是一种耐火材料。 efficeint方法。

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