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


Yildiz B. S. , Pholdee N., Bureerat S., YILDIZ A. R. , Sait S. M.

MATERIALS TESTING, vol.62, no.7, pp.744-748, 2020 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 62 Issue: 7
  • Publication Date: 2020
  • Doi Number: 10.3139/120.111541
  • Title of Journal : MATERIALS TESTING
  • Page Numbers: pp.744-748
  • Keywords: Sine-cosine optimization algorithm, response surface, diaphragm spring, shape optimization, STRUCTURAL DESIGN, MULTIOBJECTIVE OPTIMIZATION, DIFFERENTIAL EVOLUTION, GRAVITATIONAL SEARCH, HYBRID APPROACH, WATER CYCLE, ANT LION, PARAMETERS, WHALE

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.