Yayın: The mine blast algorithm for the structural optimization of electrical vehicle components
Tarih
Kurum Yazarları
Yıldız, Betül Sultan
Yazarlar
Danışman
Dil
Türü
Yayıncı:
Walter de Gruyter
Dergi Başlığı
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Cilt Başlığı
Özet
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.
Açıklama
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Anahtar Kelimeler:
Konusu
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, Materials science, Automotive industry, Structural optimization, Product design, Vehicles, Automotive component, Automotive technology, Derivative-free, Electrical vehicles, Mine blast algorithms, Mechanical components, Research papers, Shape optimization problem, Shape optimization
Alıntı
Yıldız, B. S. (2020). "The mine blast algorithm for the structural optimization of electrical vehicle components". Materials Testing, 62(5), 497-501.