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将Ti2AlC/TiAl复合材料的工业参数、性能参数数据,利用BP人工神经网络建立起其间的关系网络模型。研究表明,所建立的网络可以很好地反映出本材料的工艺-性能之间的关系并且具有一定的精度,网络模型可以用来预测不同实验条件下Ti2AlC/TiAl复合材料的性能。
The industrial parameter and the performance parameter data of Ti2AlC / TiAl composite material are established by BP artificial neural network. The results show that the established network can well reflect the process-performance relationship of the material and has certain accuracy. The network model can be used to predict the properties of Ti2AlC / TiAl composites under different experimental conditions.