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复合材料带缠绕成型过程建模及工艺参数优化

俞涛 史耀耀 邓博 何晓东 康超 宋士博

固体火箭技术2017,Vol.40Issue(5):627-633,7.
固体火箭技术2017,Vol.40Issue(5):627-633,7.DOI:10.7673/j.issn.1006-2793.2017.05.017

复合材料带缠绕成型过程建模及工艺参数优化

Modeling and parameters optimization of composite tape winding process

俞涛 1史耀耀 1邓博 1何晓东 1康超 1宋士博1

作者信息

  • 1. 西北工业大学 机电学院,西安 710072
  • 折叠

摘要

Abstract

In the winding process of the composite tapes, parameters selection in the molding step plays a profoundly important role to determine the quality of winding product. In this paper, the mechanism and effect of process sensitivity parameters on inter-laminar shear strength for tape winding product is investigated based on orthogonal experimental method. The tape winding process model is established by combining the orthogonal experimental data with the neural network theory. The nonlinear map relationship of winding process parameters and interlaminar shear strength is obtained, and the reliability of process model is verified according to experimental test. The winding process parameters are optimized within the feasible region using particle swarm optimization algo-rithm. The experimental and simulation results show that the global optimal parameters combination for tape winding process can be obtained quickly and accurately by the particle swarm optimization algorithm based on the BP neural network model. The optimal setting of the process parameters for interlaminar shear strength is: temperature of 115 ℃, tension of 357 N, pressure of 1006 N and velocity of 0.28 m/s. Under the effect of the optimal processing parameters, the interlaminar shear strength of the winding prod-ucts can reach 102.2 MPa.

关键词

复合材料带缠绕工艺/层间剪切强度/粒子群优化算法/BP神经网络模型/参数优化

Key words

composite tape winding process/interlaminar shear strength/particle swarm optimization/BP neural network mod-el/parameters optimization

分类

航空航天

引用本文复制引用

俞涛,史耀耀,邓博,何晓东,康超,宋士博..复合材料带缠绕成型过程建模及工艺参数优化[J].固体火箭技术,2017,40(5):627-633,7.

基金项目

国家自然科学基金( 51375394). ( 51375394)

固体火箭技术

OA北大核心CSCDCSTPCD

1006-2793

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