纤维缠绕压力容器封头壁厚预测方法分析

玻璃钢/复合材料 ›› 2016, Vol. 0 ›› Issue (7): 14-19.

纤维缠绕压力容器封头壁厚预测方法分析

许家忠¹, 张殿鑫¹, 栾胜罡², 袁亚男¹

1.哈尔滨理工大学,哈尔滨150080;
2.中国船舶重工集团公司第七○三研究所,哈尔滨150078

收稿日期:2015-12-08 出版日期:2016-07-28 发布日期:2016-07-28
作者简介:许家忠(1977-),男,博士,教授,博士生导师,主要研究方向为复合材料成型工艺优化设计,xujiazhong@126.com。
基金资助:
黑龙江省自然科学基金(E201301);哈尔滨市优秀学科带头人项目(RC2015XK009003)

ANALYSIS OF THICKNESS PREDICTION METHOD OF FILAMENT WOUND PRESSURE VESSEL HEAD

XU Jia-zhong¹, ZHANG Dian-xin¹, LUAN Sheng-gang², YUAN Ya-nan¹

1.Harbin University of Science and Technology, Harbin 150080, China;
2.No.703 Research Institute of CSIC, Harbin 150078, China

Received:2015-12-08 Online:2016-07-28 Published:2016-07-28

摘要/Abstract

摘要： 为建立准确纤维缠绕压力容器结构模型,在前人壁厚预测方法基础上采用多项式逼近算法来预测压力容器封头纤维层厚度。针对封头部分纤维缠绕角不断变化和极孔附近纱线堆叠等影响因素,采用多项式逼近算法进行封头壁厚预测,并与经典算法、精确算法、平面算法壁厚预测值及实际壁厚测量值对比分析,结果表明运用此方法得到的纤维层壁厚预测值与实际壁厚测量值更接近,从而为分析压力容器可靠性提供准确压力容器结构模型。

关键词: 纤维缠绕, 压力容器, 封头壁厚预测方法

Abstract: For establishing an accurate model for the structure of filament wound pressure vessel, this paper adopt a polynomial approximation algorithm to predict the fiber layer thickness of pressure vessel head on the basis of previous fiber layer thickness prediction method. According to the influencing factors of the changing of fiber winding angle of head part and yarn accumulation near the polar periphery, this paper adopt the polynomial approximation algorithm to predict the fiber layer thickness. Compared with classical method, exact solution, flat solution and actual thickness, it shows that the fiber layer thickness prediction by the method is close to the actual thickness, providing an accurate pressure vessel structure model for the further analysis of the reliability of the pressure vessel.

Key words: filament winding, pressure vessel, prediction method of head thickness

中图分类号:

TB332

许家忠, 张殿鑫, 栾胜罡, 袁亚男. 纤维缠绕压力容器封头壁厚预测方法分析[J]. 玻璃钢/复合材料, 2016, 0(7): 14-19.

XU Jia-zhong, ZHANG Dian-xin, LUAN Sheng-gang, YUAN Ya-nan. ANALYSIS OF THICKNESS PREDICTION METHOD OF FILAMENT WOUND PRESSURE VESSEL HEAD[J]. Fiber Reinforced Plastics/Composites, 2016, 0(7): 14-19.

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