摘要
复合材料带缠绕成型过程中,成型工艺参数的选取决定了缠绕制品的性能。采用正交实验法研究各工艺参数对缠绕制品层间剪切强度的影响规律和敏感度,并将正交试验数据与神经网络理论相结合,对带缠绕成型过程进行建模,得到缠绕成型工艺参数与层间剪切强度之间的非线性映射关系,并通过实验验证了模型的可靠性。在此基础上,利用粒子群优化方法在可行工艺参数域内对缠绕成型工艺参数进行优化。仿真与实验结果表明,基于神经网络模型的工艺参数粒子群优化算法能够快速、准确的得到带缠绕成型的全局最优工艺参数组合。使得缠绕制品层间剪切强度达到最优的工艺参数组合为:加热温度115℃,缠绕张力357 N,压辊压力1006 N和缠绕速度0.28 m/s,在最优工艺参数作用下,缠绕制品的层间剪切强度达到102.2 MPa。
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 interlaminar 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 algorithm.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 products can reach 102.2 MPa.
出处
《固体火箭技术》
EI
CAS
CSCD
北大核心
2017年第5期627-633,共7页
Journal of Solid Rocket Technology
基金
国家自然科学基金(51375394)
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
composite tape winding process
interlaminar shear strength
particle swarm optimization
BP neural network mod-el
parameters optimization
