1. Açık Erişim@BUU
  2. İndeksli Yayınlar
  3. Web of Science
Please use this identifier to cite or link to this item: http://hdl.handle.net/11452/29608
Title: Butterfly optimization algorithm for optimum shape design of automobile suspension components
Authors: Abderazek, H.
Sait, S.
Bureerat, S.
Bursa Uludağ Üniversitesi/Mühendislik Fakültesi/Otomotiv Mühendisliği.
0000-0001-9215-0775
0000-0003-1790-6987
Yıldız, Betül Sultan
Yıldız, Ali Rıza
Albak, Emre İsa
AAL-9234-2020
57094682600
7102365439
57191051783
Keywords: Butterfly optimization algorithm
Coupling with bolted rim
Suspension arm
Shape optimization
Kriging
Particle swarm optimization
Symbiotic organisims search
Charged system search
Structural design
Topology design
Multiobjective optimization
Differential evolution
Gravitational search
Global optimization
Lightweght design
Automobile suspensions
Automotive industry
Suspensions (components)
Constraint functions
Light vehicles
Metamodeling methods
Optimization algorithms
Optimization method
Optimum shape design
Research efforts
Weight reduction
Materials science
Issue Date: 1-Apr-2020
Publisher: Walter de Gruyter
Citation: Yıldız, B. S. vd. (2020). "Butterfly optimization algorithm for optimum shape design of automobile suspension components". Materials Testing, 62(4), 365-370.
Abstract: This article presents an implementation of one of the latest optimization methods of obtaining light vehicle designs. First, the problem of coupling with a bolted rim is optimized using the butterfly optimization algorithm (BOA). Finally, the BOA is used to solve the shape optimization of a vehicle suspension arm. It is utilized from the Kriging metamodeling method to obtain equations of objective and constraint functions in shape optimization. At the end of the research effort in this paper, the weight reduction of the suspension arm by using the BOA is 32.9%. The results show the BOA's ability to design better optimum components in the automotive industry.
URI: https://doi.org/10.3139/120.111492
https://www.degruyter.com/document/doi/10.3139/120.111492/html
http://hdl.handle.net/11452/29608
ISSN: 0025-5300
Appears in Collections:Scopus
Web of Science

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