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Title: | Durability analyses of a rubber to metal anti-vibration cone mount, subjected to a random type load signal by using damage models in finite element method |
Authors: | Serbest, Ali Kamil Uludağ Üniversitesi/Mühendislik Fakültesi/Otomotiv Mühendisliği Bölümü. 0000-0002-8720-7594 Yazıcı, Murat M-4741-2017 7007162323 |
Keywords: | Physics Fatigue behavior Finite element method Forecasting Railroad crossings Rubber Anti-vibration mounts Antivibration Damage model Durability analysis Level crossing Lifetime prediction Numerical approaches Validation test Vibration analysis |
Issue Date: | Jun-2018 |
Publisher: | Polish Academy of Sciences |
Citation: | Serbest, A. K. ve Yazıcı, M. (2018). ''Durability analyses of a rubber to metal anti-vibration cone mount, subjected to a random type load signal by using damage models in finite element method''. Acta Physica Polonica A, 134(Issue1), Special Issue, 222-226. |
Abstract: | Present study proposes a method for lifetime prediction of rubber-to-metal anti-vibration mounts, which can be divided into two approaches. Method is especially suitable for random type load signal, which is used for rubber mount validation tests. Method employs the cyclic tests until specimen failure and the Wohler diagrams. Random type load signal is used for strain based level crossing operation and after that, life time prediction can be done by using the inputs from Wohler diagrams and level crossing operations. Numerical approach and FEA approach only differ from each other in the determination of unit damages in making the life-time predictions. |
Description: | Bu çalışma, 22-26, Nisan 2017 tarihlerinde Fethiye[Türkiye]’de düzenlenen 7. International Advances in Applied Physics and Materials Science Congress and Exhibition (APMAS) Kongresi‘nde bildiri olarak sunulmuştur. |
URI: | https://doi.org/10.12693/APhysPolA.134.222 http://przyrbwn.icm.edu.pl/APP/PDF/134/app134z1p057.pdf http://hdl.handle.net/11452/34845 |
ISSN: | 0587-4246 1898-794X |
Appears in Collections: | Scopus Web of Science |
Files in This Item:
File | Description | Size | Format | |
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Yazıcı_ve Serbest_2018.pdf | 814.3 kB | Adobe PDF | ![]() View/Open |
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