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Title: | The mine blast algorithm for the structural optimization of electrical vehicle components |
Authors: | Bursa Uludağ Üniversitesi/Mühendislik Fakültesi/Makine Mühendisliği. Yıldız, Betül Sultan AAL-9234-2020 57094682600 |
Keywords: | 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 |
Issue Date: | 1-May-2020 |
Publisher: | Walter de Gruyter |
Citation: | Yıldız, B. S. (2020). "The mine blast algorithm for the structural optimization of electrical vehicle components". Materials Testing, 62(5), 497-501. |
Abstract: | 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. |
URI: | https://doi.org/10.3139/120.111511 https://www.degruyter.com/document/doi/10.3139/120.111511/html http://hdl.handle.net/11452/29686 |
ISSN: | 0025-5300 |
Appears in Collections: | Scopus Web of Science |
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