A Novel Composite Design Optimization Method for Minimized Manufacturing Cost with Improved Performances

被引:0
|
作者
Shize Chen
Daochun Li
Jinwu Xiang
机构
[1] Beijing University of Aeronautics and Astronautics,School of Aeronautic Science and Engineering
来源
关键词
Composite material; Wing; Manufacturing cost; Design optimization; Genetic algorithm;
D O I
暂无
中图分类号
学科分类号
摘要
The design optimization of composite structures generally takes the lightest structural weight or the best performance index as the goal. With the advancement of the aerospace industry and increasingly fierce market competition, the manufacturing cost has become an essential factor affecting the market competitiveness of aircraft and the expansion of composite applications. This study uses a manufacturing process cost model based on process flow simulation to establish objective functions, uses MSC.Patran/Nastran to analyze static strength and aeroelasticity and establish performance constraints. The optimization program is constructed on the Isight software platform based on the Bliss step-by-step idea and multi-island genetic algorithm. The design optimization method of composite structure targeting at manufacturing cost is thus established. On a composite wing with three typical fabrication routes, the manufacturing cost is reduced by 20.23%, 28.18%, and 37.11%. Utilizing the structural characteristics of the objective function and through the control of variables, the optimization simultaneously realized structural weight reduction and performance improvements, achieving reductions up to 18.09% in structural weight, 7.03% in wingtip displacement, 43.65% in torsion angle, and enhancements up to 14.63% in flutter speed.
引用
收藏
页码:1479 / 1505
页数:26
相关论文
共 50 条
  • [1] A Novel Composite Design Optimization Method for Minimized Manufacturing Cost with Improved Performances
    Chen, Shize
    Li, Daochun
    Xiang, Jinwu
    [J]. APPLIED COMPOSITE MATERIALS, 2022, 29 (04) : 1479 - 1505
  • [2] Composite Manufacturing Cost Model Targeting on Design Optimization
    Shize Chen
    Daochun Li
    Jinwu Xiang
    Shiwei Zhao
    [J]. Applied Composite Materials, 2020, 27 : 673 - 691
  • [3] Composite Manufacturing Cost Model Targeting on Design Optimization
    Chen, Shize
    Li, Daochun
    Xiang, Jinwu
    Zhao, Shiwei
    [J]. APPLIED COMPOSITE MATERIALS, 2020, 27 (05) : 673 - 691
  • [4] Manufacturing for design: A novel interconnect optimization method
    Zhang, Hongbo
    Deng, Liang
    Chao, Kai-Yuan
    Wong, Martin D. F.
    [J]. DESIGN FOR MANUFACTURABILITY THROUGH DESIGN-PROCESS INTEGRATION II, 2008, 6925
  • [6] Analysis, manufacturing, testing, and structural optimization of a novel composite kiteboard design
    Stier, Bertram
    Bednarcyk, Brett A.
    Boeddeker, Torben
    Springmann, Raphael
    Simon, Jaan W.
    Reese, Stefanie
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART P-JOURNAL OF SPORTS ENGINEERING AND TECHNOLOGY, 2015, 229 (04) : 248 - 265
  • [7] Manufacturing cost optimization of composite floor trusses
    Klanšek, Uroš
    Kravanja, Stojan
    [J]. International Journal for Engineering Modelling, 2006, 19 (1-4) : 45 - 54
  • [8] A novel optimization method for maintaining aerodynamic performances in noise reduction design
    Tao, Jun
    Sun, Gang
    [J]. AEROSPACE SCIENCE AND TECHNOLOGY, 2015, 43 : 415 - 422
  • [9] A Novel Optimization Design Method of Additive Manufacturing Oriented Porous Structures
    Zhao, Jiaqi
    Zhang, Ming
    Zhu, Yu
    Li, Xin
    Wang, Leijie
    [J]. PROCEEDINGS OF THE ASME INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, 2018, VOL 13, 2019,
  • [10] Integration of Manufacturing Cost into Structural Optimization of Composite Wings
    Yin HailianabYu Xiongqingb aResearch Institute of Unmanned AircraftNanjing University of Aeronautics and AstronauticsNanjing China bKey Laboratory of Fundamental Science for National DefenseAdvanced Design Technology of Flight VehicleNanjing University of Aeronautics and AstronauticsNanjing China
    [J]. Chinese Journal of Aeronautics, 2010, 23 (06) : 670 - 676