Please use this identifier to cite or link to this item: http://hdl.handle.net/11452/29686
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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