Shape optimization of rubber bushing using differential evolution algorithm.
The objective of this study is to design rubber bushing at desired level of stiffness characteristics in order to achieve the ride quality of the vehicle. A differential evolution algorithm based approach is developed to optimize the rubber bushing through integrating a finite element code running i...
| Publicado en: | Scientific World Journal pp. 379196 - 379197 |
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| Autor principal: | |
| Formato: | research Journal Article |
| Publicado: |
Wiley-Blackwell
2014
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=109757641&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 109757641 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 1537744X 1BX5 jtl: Scientific World Journal issn: 1537744X maglogo: N pubinfo: dt: 2014 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 109757641 NLM25276848 2012752022 10.1155/2014/379196 NLM25276848 PMC4168157 109757641 ppf: 379196 ppct: 1 formats: tig: atl: Shape optimization of rubber bushing using differential evolution algorithm. aug: au: Kaya, Necmettin affil: Mechanical Engineering Department, Engineering Faculty, Uludag University, 16080 Bursa, Turkey. sug: subj: Algorithms Computer Simulation Models, Theoretical Rubber Standards Automobiles Standards Finite Element Analysis Materials Testing Methods Reproducibility of Results ab: The objective of this study is to design rubber bushing at desired level of stiffness characteristics in order to achieve the ride quality of the vehicle. A differential evolution algorithm based approach is developed to optimize the rubber bushing through integrating a finite element code running in batch mode to compute the objective function values for each generation. Two case studies were given to illustrate the application of proposed approach. Optimum shape parameters of 2D bushing model were determined by shape optimization using differential evolution algorithm. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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