基于计算机实验设计方法的复合材料开孔封头优化设计

复合材料科学与工程 ›› 2015, Vol. 0 ›› Issue (6): 42-47.

基于计算机实验设计方法的复合材料开孔封头优化设计

杨乐, 富婷婷

中国航天科技集团公司第四院第四十一所,燃烧、流动和热结构国家级重点实验室,西安 710025

收稿日期:2014-12-29 出版日期:2015-06-28 发布日期:2021-09-13
作者简介:杨乐(1984-),男,硕士,主要从事固体火箭发动机总体设计与研究。

STRUCTION OPTIMIZATION OF COMPOSITE CASE DOME WITH HOLES BASED ON CDOE

YANG Le, FU Ting-ting

The 41st Institute of the Fourth Academy of CSAC, National Key Lab of Combustion, Flow and Thermo-structure, Xi'an 710025, China

Received:2014-12-29 Online:2015-06-28 Published:2021-09-13

摘要/Abstract

摘要： 对某φ1m碳纤维壳体开孔前封头建立了三维参数化模型。以计算机实验设计方法为基础,构建代理模型及目标驱动优化设计,选取8个封头外表面的坐标值作为设计变量。同时,以开孔前封头质量及孔边顺纤维方向最大Mises等效应变为目标函数,对封头外型面进行了优化设计。计算结果表明,优化后的前封头结构形式协调,开孔周边区域应变分布合理,同原结构相比减重1.85%。

关键词: 复合材料壳体, 前封头, 优化设计

Abstract: Numerical was used to analyze the foe dome with holes of filament winding composite case. Based on the CDOE, 8 cordorinte value of the fore dome were defined as design point by establishing surrogate model and GDO. Meanwhile, target function was introduced which contained weight of the foe dome with holes and Mises-strain along the fiber located in the pitch circle of the hole edge for optimization design.The results reveal that the structure of the foe dome was correspond,and strain distribution located in the pitch circle was reasonable,the weight of structure was decreasd by 1.85%.

Key words: filament winding composite, fore domes, optimization design

中图分类号:

TB332

杨乐, 富婷婷. 基于计算机实验设计方法的复合材料开孔封头优化设计[J]. 复合材料科学与工程, 2015, 0(6): 42-47.

YANG Le, FU Ting-ting. STRUCTION OPTIMIZATION OF COMPOSITE CASE DOME WITH HOLES BASED ON CDOE[J]. COMPOSITES SCIENCE AND ENGINEERING, 2015, 0(6): 42-47.

参考文献

[1] 王耀先. 复合材料力学与结构设计[M]. 上海:华东理工大学出版社, 2012. 9.
[2] 铁瑛, 李成. 基于应力和变形值最小的复合材料含孔板孔形参数有限元优化[J]. 玻璃钢/复合材料, 2010, 210(1):10-12.
[3] 穆朋刚, 赵美英,陈鹏飞. 基于蚁群算法的复合材料层合板的铺层顺序优化[J]. 玻璃钢/复合材料, 2007, 197(6): 14-17.
[4] 张进,王丹,张卫红. 复合材料薄壁曲面开孔孔形优化设计[J].科学技术与工程, 2011,185(8):25-28.
[5] 王共冬,陈彦海,邱福生. 基于启发式知识和自适用遗传算法的复合材料铺层优化设计[J]. 玻璃钢/复合材料, 2009, 205(2):3-5.
[6] Timothy W. Simpson, Vassili Toropov. Design and Analysis of Computer Experiments in Multidisciplinary Design Optimization: A Review bof How Far We Have Come-or Not. 12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference[C]. Victoria, 2008. 1-22.
[7] F. Sánchez Lasheras, et al. The use of design of experiments to improve a neural network model in order to predict the thickness of the chromium layer in a hard chromium plating process[J]. Mathematical and Computer Modeling, 2010, 3-7.
[8] 张波, 盛和太. Ansys有限元数值分析原理与工程应用[M]. 北京:清华大学出版社,2005. 337-361.
[9] 曾攀. 有限元分析及应用[M]. 北京: 清华大学出版社, 2004. 28-53.
[10] 倪礼忠, 陈麒. 复合材料科学与工程[M]. 北京: 科学出版社, 2002. 60-72.
[11] 张以河. 复合材料学[M]. 北京: 化学工业出版社, 2002. 60-72.
[12] Vikrant Chandramohan Aute. Single and Multiresponse Adaptive Design of Experiments with Application to Design Optimization of Novel Heat Exchangers[D]. University of Maryland. Ph.D. Dissertation, 2009.
[13] Jacques Goupy, Lee Creighton. Introduction to Design of Experiments with JMP Examples[M]. Third Edition. NewYork: SAS Institute Inc, 2007.
[14] Documentation for ANSYS Workbench Release 11.0,2007.
[15] Smith A, Tate D.Genetic optimization using a penalty function[C].Proceeding of 5th International Conference on Genetic Algorithms,Morgen Kaufmann Publishers,1993. 499-503.