【摘要】 利用BP人工神经网络将Ti2AlC/TiAl复合材料的快速热处理工艺参数(热处理温度,B的含量)-性能(显微硬度、弯曲强度),建立起关系网络模型。并通过BP神经网络,预测了Ti2AlC/TiAl复合材料在加入B元素和未加B元素的情况下的性能变化。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。加入B元素的Ti2AlC/TiAl复合材料的性能明显高于未加入B元素的。更多还原

【Abstract】 Parameters of rapid thermal processing(heat treatment temperature,the content of B) and properties(Bending strength and microhardness) of Ti2AlC/TiAl composite material are obtained through mechanical properties examination,and their relationship network model is built by BP artificial neural network.The results show that the built model can reflect the relationships between processing and properties very well and has certain accuracy.It can be used for the prediction of the properties of Ti2AlC/TiAl composite material after heating processing under different experiment conditions(heat treatment temperature,the content of B).The composite material added B are better than one not added B.Meanwhile,the model can also serve as a guide for the preparation technology of Ti2AlC/TiAl composite materials.更多还原