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

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 fin...

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Bibliographic Details
Published inMaterialprüfung Vol. 62; no. 7; pp. 744 - 748
Main Authors Yıldız, Betül Sultan, Pholdee, Nantiwat, Bureerat, Sujin, Yıldız, Ali Rıza, Sait, Sadiq M.
Format Journal Article
LanguageEnglish
Published De Gruyter 01.07.2020
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Summary: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.
ISSN:0025-5300
2195-8572
DOI:10.3139/120.111541