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The mine blast algorithm for the structural optimization of electrical vehicle components
- Source :
- Materials Testing. 62:497-502
- Publication Year :
- 2020
- Publisher :
- Walter de Gruyter GmbH, 2020.
-
Abstract
- 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.
- Subjects :
- Gravitational search
0209 industrial biotechnology
Derivative-free
Computer science
Shape optimization problem
Design optimization
Automotive industry
02 engineering and technology
Structural optimization
Automotive engineering
Automotive component
020901 industrial engineering & automation
Shape optimization
Component (UML)
Automotive technology
Optimal machining parameters
0202 electrical engineering, electronic engineering, information engineering
Water cycle algorithm
General Materials Science
Control arm
Symbiotic organisms search
Metaheuristic
Multiobjective optimization
Mine blast algorithms
business.industry
Particle swarm optimization
Cutting Process
Chatter
Turning
Mechanical Engineering
Finite element analysis
Mechanical components
Topology design
Vehicles
Research papers
Materials science
Finite element method
Product design
Electrical vehicles
Mechanics of Materials
020201 artificial intelligence & image processing
Differential evolution
business
Materials science, characterization & testing
Mine blast algorithm
Charged system search
Subjects
Details
- ISSN :
- 21958572 and 00255300
- Volume :
- 62
- Database :
- OpenAIRE
- Journal :
- Materials Testing
- Accession number :
- edsair.doi.dedup.....2258abbf17054a0d7590321aa1ba7cfe
- Full Text :
- https://doi.org/10.3139/120.111511