Application of Artificial Neural Networks in the Prediction of Critical Buckling Loads of Helical Compression Springs

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dc.authoridYıldırım, Vebil/0000-0001-9955-8423
dc.authoridİBRİKÇİ, Turgay/0000-0003-1321-2523
dc.authoridKOCA, Tarkan/0000-0002-6881-4153
dc.authoridIBRIKCI, Turgay/0000-0003-1321-2523
dc.authorwosidYıldırım, Vebil/J-5461-2018
dc.authorwosidİBRİKÇİ, Turgay/HZL-0937-2023
dc.authorwosidIBRIKCI, Turgay/R-4432-2019
dc.authorwosidKOCA, Tarkan/ABH-4304-2020
dc.authorwosidIBRIKCI, Turgay/E-3804-2016
dc.contributor.authorIbrikci, Turgay
dc.contributor.authorSacma, Selim
dc.contributor.authorYildirim, Vebil
dc.contributor.authorKoca, Tarkan
dc.date.accessioned2024-08-04T20:56:30Z
dc.date.available2024-08-04T20:56:30Z
dc.date.issued2010
dc.departmentİnönü Üniversitesien_US
dc.description.abstractThis paper proposes the use of artificial neural networks (ANN) to perfectly predict the critical buckling loads of cylindrical isotropic helical spring with fixed ends and with circular sections, and with large pitch angles. The buckling equations of cylindrical isotropic helical springs loaded axially consist of a set of twelve linear differential equations. As finding a solution in an analytical manner is too difficult, numerical solution in an exact manner based on the transfer-matrix method to collect consistent dimensionless numerical data for the training process is used. In this way almost perfect weight values are obtained to predict the non-dimensional buckling loads. A good agreement is observed with the data available in the literature. (C)2010 Journal of Mechanical Engineering. All rights reserved.en_US
dc.description.sponsorshipTechnical Research Council of Turkey (TUBITAK) [106M307]en_US
dc.description.sponsorshipThe material covered in this paper is based upon work which was supported by the research grant 106M307 from Technical Research Council of Turkey (TUBITAK).en_US
dc.identifier.endpage417en_US
dc.identifier.issn0039-2480
dc.identifier.issue6en_US
dc.identifier.startpage409en_US
dc.identifier.urihttps://hdl.handle.net/11616/102385
dc.identifier.volume56en_US
dc.identifier.wosWOS:000281888500008en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherAssoc Mechanical Engineers Technicians Sloveniaen_US
dc.relation.ispartofStrojniski Vestnik-Journal of Mechanical Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectbucklingen_US
dc.subjectcritical buckling loaden_US
dc.subjecthelical springen_US
dc.subjectartificial neural networksen_US
dc.subjectdesignen_US
dc.subjectcoil springen_US
dc.titleApplication of Artificial Neural Networks in the Prediction of Critical Buckling Loads of Helical Compression Springsen_US
dc.typeArticleen_US

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