Optimization of process parameters of three-dimensional needled preforms for C/C-SiC composites

Optimization of process parameters of three-dimensional needled preforms for C/C-SiC composites

A surrogate model was established to optimize needling process parameters of three dimensional needled C/C-SiC composites by using back propagation (BP) neural network and improved genetic algorithm. The relationship between needling process parameters and composites stiffness was obtained. The stif...

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Bibliographic Details
Main Authors: QI Yun-chao, FANG Guo-dong, LIANG Jun, XIE Jun-bo
Format: Article
Language:zho
Published: Journal of Materials Engineering 2020-01-01
Series:Journal of Materials Engineering
Subjects:
needling composites
bp neural network
stiffness prediction
genetic algorithm
process optimization
Online Access:http://jme.biam.ac.cn/CN/Y2020/V48/I1/27

Internet

http://jme.biam.ac.cn/CN/Y2020/V48/I1/27

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