Publication:
Probabilistic analysis of MEMS asymmetric gear tooth

dc.contributor.authorKarpat, Fatih
dc.contributor.authorEkwaro-Osire S.
dc.contributor.authorKhandaker M.P.H.
dc.contributor.buuauthorKARPAT, FATİH
dc.contributor.departmentMühendislik Fakültesi
dc.contributor.departmentMakine Mühendisliği Bölümü
dc.contributor.orcid0000-0001-8474-7328
dc.contributor.scopusid24366799400
dc.date.accessioned2025-05-13T14:14:07Z
dc.date.issued2006-01-01
dc.description.abstractAsymmetric gear teeth are used to improve the performance of gears by increasing the load capacity or by reducing vibrations. Recently these types of gears have found application in MEMS devices where the use of gears is on the rise. In this research a probabilistic computer program, in conjunction with a commercially available finite element program, is developed and the reliability of the asymmetric gear tooth is studied. Specifically, the probability of failure of the asymmetric gear is extracted for various parameters. The parameters considered included pressure angle, tooth height, and contact ratio. The efficacy of using asymmetric gear tooth is shown in this study. Copyright © 2006 by ASME.
dc.description.sponsorshipApplied Mechanics Division
dc.identifier.doi10.1115/IMECE2006-15008
dc.identifier.isbn[0791837904, 9780791837900]
dc.identifier.issn1071-6947
dc.identifier.scopus2-s2.0-85196483931
dc.identifier.urihttps://hdl.handle.net/11452/52818
dc.indexed.scopusScopus
dc.language.isoen
dc.publisherAmerican Society of Mechanical Engineers (ASME)
dc.relation.journalAmerican Society of Mechanical Engineers, Design Engineering Division (Publication) DE
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subject.scopusAsymmetric Gear Design and Stress Optimization
dc.titleProbabilistic analysis of MEMS asymmetric gear tooth
dc.typeConference Paper
dspace.entity.typePublication
local.contributor.departmentMühendislik Fakültesi/Makine Mühendisliği Bölümü
relation.isAuthorOfPublication56b8a5d3-7046-4188-ad6e-1ae947a1b51d
relation.isAuthorOfPublication.latestForDiscovery56b8a5d3-7046-4188-ad6e-1ae947a1b51d

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