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玻璃钢压力管材卷制成型工艺中的张力优化设计
引用本文:吴德会%王晓红%王四清%李广进.玻璃钢压力管材卷制成型工艺中的张力优化设计[J].宇航材料工艺,2007,37(2):41-44.
作者姓名:吴德会%王晓红%王四清%李广进
作者单位:1. 九江学院,九江,332005
2. 长江化工厂,九江,332006
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。

关 键 词:玻璃钢  卷制成型  张力设计  神经网络
修稿时间:2005-12-19

Tension Optimum Design in GFRP Pipes Coiling Molding Technologies
Wu Dehui,Wang Xiaohong,Wang Siqing,Li Guangjin.Tension Optimum Design in GFRP Pipes Coiling Molding Technologies[J].Aerospace Materials & Technology,2007,37(2):41-44.
Authors:Wu Dehui  Wang Xiaohong  Wang Siqing  Li Guangjin
Institution:1 Jiujiang University,Jiujiang 332005;2 Changjiang Chemical Plant,Jiujiang 332006
Abstract:Within the field of glass fibre reinforced plastics (GFRP) pipes coiling molding,the design of coi- ling 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 distribu- tions of inner tension in GFRP pipes are given from the theory of elasticity.Based on these formulas an artificial neu- ral network (ANN) structures is discussed used for optimizing the coiling tension.Numerical results show that the ten- sion design optimized by this ANN can ensure the tensions in each coiling layer to obtain a respectable value.
Keywords:Glass fibre reinforced plastics  Coiling molding  Tension design  Artificial neural network
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