1. Açık Erişim@BUU
  2. İndeksli Yayınlar
  3. Web of Science
Bu öğeden alıntı yapmak, öğeye bağlanmak için bu tanımlayıcıyı kullanınız: http://hdl.handle.net/11452/29605
Başlık: Sine-cosine optimization algorithm for the conceptual design of automobile components
Yazarlar: Pholdee, N.
Bureerat, S.
Sait, SM.
Bursa Uludağ Üniversitesi/Mühendislik Fakültesi/Makine Mühendisliği.
Yıldız, Betül Sultan
Yıldız, Ali Rıza
AAL-9234-2020
F-7426-2011
57094682600
7102365439
Anahtar kelimeler: 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
Materials science
Automobiles
Conceptual design
Constrained optimization
Automobile components
Constraint functions
Objective functions
Optimization algorithms
Optimization techniques
Response surface method
Sine-cosine algorithm
Stress constraints
Shape optimization
Yayın Tarihi: 1-Tem-2020
Yayıncı: Walter de Gruyter
Atıf: Yıldız, B. S. vd. (2020). "Sine-cosine optimization algorithm for the conceptual design of automobile components". Materials Testing, 62(7), 744-748.
Özet: 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.
URI: https://doi.org/10.3139/120.111541
https://www.degruyter.com/document/doi/10.3139/120.111541/html
http://hdl.handle.net/11452/29605
ISSN: 0025-5300
Koleksiyonlarda Görünür:Scopus
Web of Science

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