摘要
在玻璃钢压力管材卷制成型工艺中,卷制张力的设计是保证产品质量的关键之一。本文分析了卷制过程中张力变化规律及影响因素,并由弹性理论给出了一组玻璃钢管的内张力分布公式。根据该组公式讨论一种神经网络结构对卷制张力进行优化。结果表明:通过该神经网络优化的卷制张力能使生产的管材每一层均处于等内张力状态。
Within the field of glass fibre reinforced plastics (GFRP) pipes coiling molding, the design of coiling tension is one of the keys to guarantee the product quality. The changing pattern of the tension and the factors in- fluencing the tension in the process of coiling molding are analyzed in this paper. And the formulas for the distributions of inner tension in GFRP pipes are given from the theory of elasticity. Based on these formulas an artificial neural network (ANN) structures is discussed used for optimizing the coiling tension. Numerical results show that the tension design optimized by this ANN can ensure the tensions in each coiling layer to obtain a respectable value.
出处
《宇航材料工艺》
CAS
CSCD
北大核心
2007年第2期41-44,共4页
Aerospace Materials & Technology
关键词
玻璃钢
卷制成型
张力设计
神经网络
Glass fibre reinforced plastics, Coiling molding, Tension design, Artificial neural network