Prediction of Heating Processing-Properties of Ti2AlC/TiAl Compound Materials Based on BP Neural Network

Abstract:

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Parameters of processing (heat treatment temperature, holding time) and properties (Bending strength and Microhardness) of Ti2AlC/TiAl compound materials were obtained through mechanical properties examination, the network model was 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 compound materials after heating processing under different experiment conditions. Meanwhile, the model can also serve as a guide for the preparation technology of Ti2AlC/TiAl compound materials.

Info:

Periodical:

Advanced Materials Research (Volumes 306-307)

Edited by:

Shiquan Liu and Min Zuo

Pages:

823-826

DOI:

10.4028/www.scientific.net/AMR.306-307.823

Citation:

M. Wen et al., "Prediction of Heating Processing-Properties of Ti2AlC/TiAl Compound Materials Based on BP Neural Network", Advanced Materials Research, Vols. 306-307, pp. 823-826, 2011

Online since:

August 2011

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Price:

$35.00

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