Sine-cosine optimization algorithm for the conceptual design of automobile components
dc.contributor.author | Pholdee, N. | |
dc.contributor.author | Bureerat, S. | |
dc.contributor.author | Sait, SM. | |
dc.contributor.buuauthor | Yıldız, Betül Sultan | |
dc.contributor.buuauthor | Yıldız, Ali Rıza | |
dc.contributor.department | Bursa Uludağ Üniversitesi/Mühendislik Fakültesi/Makine Mühendisliği. | tr_TR |
dc.contributor.researcherid | AAL-9234-2020 | tr_TR |
dc.contributor.researcherid | F-7426-2011 | tr_TR |
dc.contributor.scopusid | 57094682600 | tr_TR |
dc.contributor.scopusid | 7102365439 | tr_TR |
dc.date.accessioned | 2022-11-29T01:55:31Z | |
dc.date.available | 2022-11-29T01:55:31Z | |
dc.date.issued | 2020-07-01 | |
dc.description.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. | en_US |
dc.description.sponsorship | King Fahd University of Petroleum and Minerals | en_US |
dc.description.sponsorship | Khon Kaen University | en_US |
dc.identifier.citation | Yıldız, B. S. vd. (2020). "Sine-cosine optimization algorithm for the conceptual design of automobile components". Materials Testing, 62(7), 744-748. | en_US |
dc.identifier.endpage | 748 | tr_TR |
dc.identifier.issn | 0025-5300 | |
dc.identifier.issue | 7 | tr_TR |
dc.identifier.scopus | 2-s2.0-85093110439 | tr_TR |
dc.identifier.startpage | 744 | tr_TR |
dc.identifier.uri | https://doi.org/10.3139/120.111541 | |
dc.identifier.uri | https://www.degruyter.com/document/doi/10.3139/120.111541/html | |
dc.identifier.uri | http://hdl.handle.net/11452/29605 | |
dc.identifier.volume | 62 | tr_TR |
dc.identifier.wos | 000568258200012 | |
dc.indexed.scopus | Scopus | en_US |
dc.indexed.wos | SCIE | en_US |
dc.language.iso | en | en_US |
dc.publisher | Walter de Gruyter | en_US |
dc.relation.bap | BAP | tr_TR |
dc.relation.collaboration | Yurt dışı | tr_TR |
dc.relation.journal | Materials Testing | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi | tr_TR |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Sine-cosine optimization algorithm | en_US |
dc.subject | Response surface | en_US |
dc.subject | Diaphragm spring | en_US |
dc.subject | Shape optimization | en_US |
dc.subject | Structural design | en_US |
dc.subject | Multiobjective optimization | en_US |
dc.subject | Differential evolution | en_US |
dc.subject | Gravitational search | en_US |
dc.subject | Hybrid approach | en_US |
dc.subject | Water cycle | en_US |
dc.subject | Ant lion | en_US |
dc.subject | Parameters | en_US |
dc.subject | Whale | en_US |
dc.subject | Materials science | en_US |
dc.subject | Automobiles | en_US |
dc.subject | Conceptual design | en_US |
dc.subject | Constrained optimization | en_US |
dc.subject | Automobile components | en_US |
dc.subject | Constraint functions | en_US |
dc.subject | Objective functions | en_US |
dc.subject | Optimization algorithms | en_US |
dc.subject | Optimization techniques | en_US |
dc.subject | Response surface method | en_US |
dc.subject | Sine-cosine algorithm | en_US |
dc.subject | Stress constraints | en_US |
dc.subject | Shape optimization | en_US |
dc.subject.scopus | Cutting Process; Chatter; Turning | en_US |
dc.subject.wos | Materials science, characterization & testing | en_US |
dc.title | Sine-cosine optimization algorithm for the conceptual design of automobile components | en_US |
dc.type | Article | |
dc.wos.quartile | Q3 | en_US |
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