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 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 62 Issue: 7
  • Publication Date: 2020
  • Doi Number: 10.3139/120.111541
  • Journal Name: MATERIALS TESTING
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex
  • 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
  • Bursa Uludag University Affiliated: Yes

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.