The mine blast algorithm for the structural optimization of electrical vehicle components
The shape optimization of mechanical and automotive component plays a crucial role in the development of automotive 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...
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| Published in | Materialprüfung Vol. 62; no. 5; pp. 497 - 502 |
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| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
De Gruyter
01.05.2020
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0025-5300 2195-8572 |
| DOI | 10.3139/120.111511 |
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| Summary: | The shape optimization of mechanical and automotive component plays a crucial role in the development of automotive 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. |
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| ISSN: | 0025-5300 2195-8572 |
| DOI: | 10.3139/120.111511 |