中国机械工程 ›› 2023, Vol. 34 ›› Issue (12): 1415-1424,1435.DOI: 10.3969/j.issn.1004-132X.2023.12.004

• 机械基础工程 • 上一篇    下一篇

机翼蒙皮铺层顺序和材料布局协同优化

彭翔1,2;江浩浩1;郭玉良1;李吉泉1;易兵3;姜少飞1,2   

  1. 1.浙江工业大学机械工程学院,杭州,310023
    2.浙江工业大学高端激光制造装备省部共建协同创新中心,杭州,310023
    3.中南大学交通运输工程学院,长沙,410083
  • 出版日期:2023-06-25 发布日期:2023-07-12
  • 通讯作者: 李吉泉(通信作者),男,1977年生,教授、博士研究生导师。研究方向为结构优化设计。E-mail:lijq@zjut.edu。
  • 作者简介:彭翔,男,1989年生,博士、副教授。研究方向为结构优化设计。E-mail:pengxiang@zjut.edu.cn。
  • 基金资助:
    国家自然科学基金(51875525);浙江省自然科学基金(LY21E050008)

Collaborative Optimization of Stacking Sequence and Material Distribution for Wing Skins

PENG Xiang1,2;JIANG Haohao1;GUO Yuliang1;LI Jiquan1;YI  Bing3;JIANG Shaofei1,2   

  1. 1.College of Mechanical Engineering,Zhejiang University of Technology,Hangzhou,310023
    2.Collaborative Innovation Center of High-end Laser Manufacturing Equipment,Zhejiang University
    of Technology,Hangzhou,310023
    3.School of Traffic and Transportation Engineering,Central South University,Changsha,410083
  • Online:2023-06-25 Published:2023-07-12

摘要: 为了实现机翼蒙皮的轻量化和减振设计,将混杂复合材料引入到机翼蒙皮中,提出了机翼蒙皮铺层顺序和材料布局协同优化设计方法。将机翼蒙皮的铺层顺序和材料布局作为优化设计变量,建立了以成本为约束,蒙皮质量和位移最小化、频率最大化为目标的协同优化模型,利用搭建的通用化机翼蒙皮优化设计框架,使用非支配排序遗传算法-Ⅱ(NSGA-Ⅱ)实现了蒙皮内部结构的优化设计。与铝合金机翼蒙皮、初始结构方案蒙皮的性能对比表明,协同优化后的机翼蒙皮结构在不增加成本的条件下,综合性能显著提高,验证了方法的有效性。

关键词: 混杂复合材料, 多目标优化, 机翼蒙皮, 非支配排序遗传算法

Abstract: To realize the lightweight and shock absorption design of the wing skins, the hybrid composite materials were introduced into the design of wing skins, and a collaborative optimization design method of stacking sequences and materials distribution was proposed for wing skins. The stacking sequences and material distribution of the wing skins were taken as the optimization design variables, the collaborative optimization model with cost as constraint, minimization of skin mass and displacement, and frequency maximization as objectives was established. The multi-objective collaborative optimization problem of the wing skins was carried out by using the NSGA-Ⅱ based on the developed optimization design framework of the wing skins. Compared with the performance of aluminum alloy wing skins and initial structure scheme, the optimized stacking sequences and material distributions may significantly improve the comprehensive performance of the wing skins without increasing the costs, which verifies the effectiveness of the proposed method.

Key words:  , hybrid composite, multi-objective optimization, wing skin, non-dominated sorting genetic algorithms-Ⅱ(NSGA-Ⅱ)

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