Sine-cosine optimization algorithm for the conceptual design of automobile components

Betül Sultan Yıldız; Nantiwat Pholdee; Sujin Bureerat; Ali Rıza Yıldız; Sadiq M. Sait

doi:10.3139/120.111541

Sine-cosine optimization algorithm for the conceptual design of automobile components

Betül Sultan Yıldız^*, Nantiwat Pholdee, Sujin Bureerat, Ali Rıza Yıldız, Sadiq M. Sait

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

87 Scopus citations

Abstract

In this paper, the sine-cosine optimization algorithm (SCO) is used to solve the shape optimization of a vehicle clutch lever. The design problem is posed for the shape optimization of a clutch lever with a mass objective function and a stress constraint. Actual function evaluations are based on finite element analysis, while the response surface method is used to obtain the equations for objective and constraint functions. Recent optimization techniques such as the salp swarm algorithm, grasshopper optimization algorithm, and sine-cosine algorithm are used for shape optimization. The results show the ability of the sine-cosine optimization algorithm to optimize automobile components in the industry.

Original language	English
Pages (from-to)	744-748
Number of pages	5
Journal	Materialpruefung/Materials Testing
Volume	62
Issue number	7
DOIs	https://doi.org/10.3139/120.111541
State	Published - Jul 2020

Bibliographical note

Publisher Copyright:
© Carl Hanser Verlag, München

Keywords

Diaphragm spring
Response surface
Shape optimization
Sine-cosine optimization algorithm

ASJC Scopus subject areas

General Materials Science
Mechanics of Materials
Mechanical Engineering

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10.3139/120.111541

Cite this

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title = "Sine-cosine optimization algorithm for the conceptual design of automobile components",

abstract = "In this paper, the sine-cosine optimization algorithm (SCO) is used to solve the shape optimization of a vehicle clutch lever. The design problem is posed for the shape optimization of a clutch lever with a mass objective function and a stress constraint. Actual function evaluations are based on finite element analysis, while the response surface method is used to obtain the equations for objective and constraint functions. Recent optimization techniques such as the salp swarm algorithm, grasshopper optimization algorithm, and sine-cosine algorithm are used for shape optimization. The results show the ability of the sine-cosine optimization algorithm to optimize automobile components in the industry.",

keywords = "Diaphragm spring, Response surface, Shape optimization, Sine-cosine optimization algorithm",

author = "Yıldız, \{Bet{\"u}l Sultan\} and Nantiwat Pholdee and Sujin Bureerat and Yıldız, \{Ali Rıza\} and Sait, \{Sadiq M.\}",

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language = "English",

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AU - Yıldız, Betül Sultan

AU - Pholdee, Nantiwat

AU - Bureerat, Sujin

AU - Yıldız, Ali Rıza

AU - Sait, Sadiq M.

N1 - Publisher Copyright: © Carl Hanser Verlag, München

PY - 2020/7

Y1 - 2020/7

N2 - In this paper, the sine-cosine optimization algorithm (SCO) is used to solve the shape optimization of a vehicle clutch lever. The design problem is posed for the shape optimization of a clutch lever with a mass objective function and a stress constraint. Actual function evaluations are based on finite element analysis, while the response surface method is used to obtain the equations for objective and constraint functions. Recent optimization techniques such as the salp swarm algorithm, grasshopper optimization algorithm, and sine-cosine algorithm are used for shape optimization. The results show the ability of the sine-cosine optimization algorithm to optimize automobile components in the industry.

AB - In this paper, the sine-cosine optimization algorithm (SCO) is used to solve the shape optimization of a vehicle clutch lever. The design problem is posed for the shape optimization of a clutch lever with a mass objective function and a stress constraint. Actual function evaluations are based on finite element analysis, while the response surface method is used to obtain the equations for objective and constraint functions. Recent optimization techniques such as the salp swarm algorithm, grasshopper optimization algorithm, and sine-cosine algorithm are used for shape optimization. The results show the ability of the sine-cosine optimization algorithm to optimize automobile components in the industry.

KW - Diaphragm spring

KW - Response surface

KW - Shape optimization

KW - Sine-cosine optimization algorithm

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M3 - Article

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VL - 62

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JO - Materialpruefung/Materials Testing

JF - Materialpruefung/Materials Testing

IS - 7

ER -

Sine-cosine optimization algorithm for the conceptual design of automobile components

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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