The mine blast algorithm for the structural optimization of electrical vehicle components

被引：32
作者：
Yildiz, Betul Sultan [1 ]
机构：
[1] Uludag Univ, Dept Automot Engn, Bursa, Turkey
来源：
MATERIALS TESTING | 2020年 / 62卷 / 05期
关键词：
Mine blast algorithm; control arm; shape optimization; finite element analysis; PARTICLE SWARM OPTIMIZATION; OPTIMAL MACHINING PARAMETERS; SYMBIOTIC ORGANISMS SEARCH; CHARGED SYSTEM SEARCH; WATER CYCLE ALGORITHM; DESIGN OPTIMIZATION; TOPOLOGY DESIGN; MULTIOBJECTIVE OPTIMIZATION; DIFFERENTIAL EVOLUTION; GRAVITATIONAL SEARCH;
D O I：
10.3139/120.111511
中图分类号：
TB3 [工程材料学];
学科分类号：
0805 ; 080502 ;
摘要：
The shape optimization of mechanical and automotive component plays a crucial role in the development of auto-motive technology. Presently, the use of derivative-free metaheuristics in combination with finite element analysis for mechanical component design is one of the most focused on topics due to its simplicity and effectiveness. In this research paper, the mine blast algorithm (MBA) is used to solve the problem of shape optimization for a vehicle door hinge to prove how the MBA can be used for solving shape optimization problems in designing electrical vehicles. The results show the advantage of the MBA for designing optimal components in the automotive industry.
引用
收藏
页码：497 / 501
页数：5
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