Pholdee, N.Bureerat, S.Sait, SM.2022-11-292022-11-292020-07-01Yıldız, B. S. vd. (2020). "Sine-cosine optimization algorithm for the conceptual design of automobile components". Materials Testing, 62(7), 744-748.0025-5300https://doi.org/10.3139/120.111541https://www.degruyter.com/document/doi/10.3139/120.111541/htmlhttp://hdl.handle.net/11452/29605In 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.eninfo:eu-repo/semantics/closedAccessSine-cosine optimization algorithmResponse surfaceDiaphragm springShape optimizationStructural designMultiobjective optimizationDifferential evolutionGravitational searchHybrid approachWater cycleAnt lionParametersWhaleMaterials scienceAutomobilesConceptual designConstrained optimizationAutomobile componentsConstraint functionsObjective functionsOptimization algorithmsOptimization techniquesResponse surface methodSine-cosine algorithmStress constraintsShape optimizationArticle0005682582000122-s2.0-85093110439744748627Materials science, characterization & testingCutting Process; Chatter; Turning