TY - JOUR
T1 - Modeling and parameters optimization of composite tape winding process
AU - Yu, Tao
AU - Shi, Yao Yao
AU - Deng, Bo
AU - He, Xiao Dong
AU - Kang, Chao
AU - Song, Shi Bo
N1 - Publisher Copyright:
© 2017, Editorial Dept. of JSRT. All right reserved.
PY - 2017/10/1
Y1 - 2017/10/1
N2 - 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.
AB - 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.
KW - BP neural network model
KW - Composite tape winding process
KW - Interlaminar shear strength
KW - Parameters optimization
KW - Particle swarm optimization
UR - http://www.scopus.com/inward/record.url?scp=85034240998&partnerID=8YFLogxK
U2 - 10.7673/j.issn.1006-2793.2017.05.017
DO - 10.7673/j.issn.1006-2793.2017.05.017
M3 - 文章
AN - SCOPUS:85034240998
SN - 1006-2793
VL - 40
SP - 627
EP - 633
JO - Guti Huojian Jishu/Journal of Solid Rocket Technology
JF - Guti Huojian Jishu/Journal of Solid Rocket Technology
IS - 5
ER -