Please use this identifier to cite or link to this item: http://hdl.handle.net/11452/29612
Title: The Henry gas solubility optimization algorithm for optimum structural design of automobile brake components
Authors: Pholdee, N.
Bureerat, S.
Sait, SM.
Patel, V.
Bursa Uludağ Üniversitesi/Mühendislik Fakültesi/Otomotiv Mühendisliği.
0000-0003-1790-6987
Yıldız, Betül Sultan
Yıldız, Ali Rıza
AAL-9234-2020
F-7426-2011
2-s2.0-85081692697
Keywords: Henry gas solubility optimization algorithm
Pedal
Shape optimization
Real-world optimization
Optimal machining parameters
Differential evolution
Gravitational search
Shape optimization problem
Vehicle
Crashworthiness
Framework
Materials science
Automotive engineering
Automotive industry
Brakes
Light weight vehicles
Solubility
Structural design
Structural optimization
International organizations
Meta-heuristic methods
Optimization algorithms
Optimization method
Optimum structural design
Issue Date: 25-Feb-2020
Publisher: Walter de Gruyter
Citation: Yıldız, B. S. vd. (2020). "The Henry gas solubility optimization algorithm for optimum structural design of automobile brake components". Materials Testing, 62(3), 261-264.
Abstract: As a result of the requirements imposed by international organizations and governments on fuel emissions, there is a growing interest in the design of lightweight vehicles with low-fuel emissions. Metaheuristic methods have been widely used for the optimum design of vehicle components in recent years for which successful results have been reported. Encouraged by such results obtained from the methods mentioned, the Henry gas solubility optimization algorithm (HGSO), a recently developed optimization method, is used to solve the shape optimization of a vehicle brake pedal to prove how HGSO can be used for solving shape optimization problems. This paper is the first application of the HGSO in connection with real-world optimization problems in the literature. The results show HGSO's ability to design better optimal components in the automotive industry.
URI: https://doi.org/10.3139/120.111479
https://www.degruyter.com/document/doi/10.3139/120.111479/html
http://hdl.handle.net/11452/29612
ISSN: 0025-5300
Appears in Collections:Scopus
Web of Science

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