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

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

2020Materials Testing90 citationsDOI

Abstract

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.

Topics & Concepts

Trigonometric functionsSineSine and cosine transformsOptimization problemMathematical optimizationAlgorithmClutchMathematicsFinite element methodDerivative-free optimizationLeverConstraint (computer-aided design)Computer scienceMeta-optimizationEngineeringFourier transformStructural engineeringMathematical analysisShort-time Fourier transformMechanical engineeringFourier analysisGeometryMechanical Engineering and Vibrations ResearchAdvanced Multi-Objective Optimization AlgorithmsTopology Optimization in Engineering
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