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Dynamic Modelling and Fault Diagnosis of a High Contact Ratio Gear
Mechanical Engineering Department, Prince Mohammad Bin Fahd University PMU, Khobar, Saudi Arabia.ORCID iD: 0000-0003-2681-3707
2024 (English)In: Advances in Nonlinear Dynamics and Control of Mechanical and Physical Systems: Selected Articles from CSNDD 2023; 15–17 May; Marrakesh, Morocco / [ed] Mohamed Belhaq, Springer, 2024, Vol. 301, p. 199-208Conference paper, Published paper (Refereed)
Abstract [en]

High contact ratio (HCR) gears are needed in different cases for having lower generated stresses and smoother operation as compared to the standard low contact ratio (LCR) gears. For the purpose of gear fault diagnosis and to avoid possible failure consequences due to tooth cracks, it is important to study the possibility of fault detection with crack propagation. A reduction in the gear mesh stiffness due to the existence of a crack can be used to detect and assess tooth damage. Time-varying gear mesh stiffness has an impact on the system’s dynamic response, and then the gear diagnosis indicators applied to the response signal will be affected. The current paper studies the influence of increasing the tooth addendum for having a HCR on the gear diagnosis indicators, namely the RMS, kurtosis, peak value and crest factor. Twenty different crack cases are modelled by using both the LCR and HCR designs. For every crack case, the mesh stiffness is evaluated and input to a gear dynamic model that is built for obtaining the system dynamic response. The results of the applied gear diagnosis indicators show that in the HCR design case, the indicators change with the crack size will have a lower increase than in the LCR one. Therefore, the LCR design case can be detected earlier than the HCR case.

Place, publisher, year, edition, pages
Springer, 2024. Vol. 301, p. 199-208
Series
Springer Proceedings in Physic, ISSN 0930-8989, E-ISSN 1867-4941 ; Vol. 301
National Category
Mechanical Engineering
Identifiers
URN: urn:nbn:se:oru:diva-123892DOI: 10.1007/978-981-99-7958-5_16Scopus ID: 2-s2.0-85187703366ISBN: 9789819979578 (print)ISBN: 9789819979585 (electronic)OAI: oai:DiVA.org:oru-123892DiVA, id: diva2:2000250
Conference
5th Conference on Structural Nonlinear Dynamics and Diagnosis (CSNDD 2023), Marrakech, Morocco, May 15-17, 2023
Available from: 2025-09-23 Created: 2025-09-23 Last updated: 2025-09-23Bibliographically approved

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Mohammed, Omar D.

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CiteExportLink to record
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