根据大量含Re镍基单晶高温合金试验所测TCP相含量的数据,采用一种先进的人工神经网络方法建立运算模型,对合金的TCP相含量进行预测,并与报道所用回归方法进行了比较.结果表明,所建网络模型能够比较准确地预测含Re镍基单晶高温合金中TCP相的含量.将正交分析与网络预测相结合,获得几种主要合金元素对TCP相含量的影响顺序.
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