Multi-objective topology optimization of a vehicle door using multiple material tailor-welded blank (TWB) technology

被引:32
作者
Sun Guangyong [1 ,2 ]
Tan Dongdong [1 ]
Lv Xiaojiang [3 ]
Yan Xiaolei [4 ]
Li Qing [2 ]
Huang Xiaodong [1 ,5 ]
机构
[1] Hunan Univ, State Key Lab Adv Design & Mfg Vehicle Body, Changsha 410082, Hunan, Peoples R China
[2] Univ Sydney, Sch Aerosp Mech & Mechatron Engn, Sydney, NSW 2006, Australia
[3] Geely Automobile Res Inst, Zhejiang Key Lab Automobile Safety Technol, Hangzhou 311228, Zhejiang, Peoples R China
[4] Fujian Univ Technol, Fujian Key Lab Automot Elect & Elect Dr Technol, Fuzhou 350118, Fujian, Peoples R China
[5] Swinburne Univ Technol, Fac Sci Engn & Technol, Hawthorn, Vic 3122, Australia
基金
中国国家自然科学基金; 澳大利亚研究理事会;
关键词
Multi-material; Multi-objective; Topology optimization; Tailor-welded blank (TWB); Vehicle door; EVOLUTIONARY STRUCTURAL OPTIMIZATION; HIGH-STRENGTH STEEL; MECHANICAL-PROPERTIES; AUTOMOTIVE DOOR; DESIGN; LINE; FORMABILITY;
D O I
10.1016/j.advengsoft.2018.06.014
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
As one of effective technologies, tailor welded blank (TWB) has been extensively applied to improve structural performance and efficiency of material usage for lightweight automobile. The vehicle door is an important part of structure that presents many design requirements including stiffness, natural frequency, etc. However, finding an optimal layout of the multi-material TWB welding lines of a vehicle door remains fairly challenging through conventional design methods. This study proposed a multi-objective topology optimization method for this purpose. The compromise programming approach (CAP) coupled with the mean frequency method (MFM) is introduced to handle the multi-objective optimization involving stiffness and natural frequency criteria for multiple load cases. The multi-objective problems are then solved by the extended bi-directional evolutionary structural optimization (BESO) method. The design examples demonstrate that the proposed approach is suitable for the multi-objective and multi-material topology optimization (MMTO) of TWB indoor panel. The study also provides the design guidance for lightweight and multi-material structures with the TWB technology.
引用
收藏
页码:1 / 9
页数:9
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