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Prediction of the oil injection time of the FDBs in the HDD spindle motor with tied shaft by utilizing the kirchhoff's pressure law

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dc.contributor.authorLee, Minho-
dc.contributor.authorLee, Jihoon-
dc.contributor.authorKang, Chiho-
dc.contributor.authorKim, Kyobong-
dc.contributor.authorJang, Hokyung-
dc.contributor.authorKim, Bumcho-
dc.contributor.authorJang, Gun hee-
dc.date.accessioned2022-07-15T16:04:02Z-
dc.date.available2022-07-15T16:04:02Z-
dc.date.created2021-05-14-
dc.date.issued2016-06-
dc.identifier.issn0946-7076-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/154423-
dc.description.abstractWe propose a method to predict the oil injection time of fluid dynamic bearings (FDBs) with a tied shaft by applying Kirchhoff's pressure law. Since the oil is injected by capillary phenomenon, the volume flow rate can be calculated by utilizing Kirchhoff's pressure law. Then, we calculated the oil injection time of the FDBs with a tied shaft by dividing the volume flow rate by the clearance volumes of the journal bearing, the thrust bearing, and the recirculation channel (RC), respectively. We generated simulation models of the FDBs used in a 2.5aEuro(3) HDD spindle motor with a tied shaft. The total oil injection times of the FDBs with and without a RC were 0.302 and 0.335 s, respectively. Also, we verified the proposed method by measuring the oil injection time of FDBs with a RC. We applied the proposed method to predict and improve the oil injection time of the FDBs with a tied shaft due to the variation of major parameters affecting the oil injection time.-
dc.language영어-
dc.language.isoen-
dc.publisherSPRINGER HEIDELBERG-
dc.titlePrediction of the oil injection time of the FDBs in the HDD spindle motor with tied shaft by utilizing the kirchhoff's pressure law-
dc.typeArticle-
dc.contributor.affiliatedAuthorJang, Gun hee-
dc.identifier.doi10.1007/s00542-016-2840-4-
dc.identifier.scopusid2-s2.0-84957608434-
dc.identifier.wosid000376295400011-
dc.identifier.bibliographicCitationMICROSYSTEM TECHNOLOGIES-MICRO-AND NANOSYSTEMS-INFORMATION STORAGE AND PROCESSING SYSTEMS, v.22, no.6, pp.1241 - 1247-
dc.relation.isPartOfMICROSYSTEM TECHNOLOGIES-MICRO-AND NANOSYSTEMS-INFORMATION STORAGE AND PROCESSING SYSTEMS-
dc.citation.titleMICROSYSTEM TECHNOLOGIES-MICRO-AND NANOSYSTEMS-INFORMATION STORAGE AND PROCESSING SYSTEMS-
dc.citation.volume22-
dc.citation.number6-
dc.citation.startPage1241-
dc.citation.endPage1247-
dc.type.rimsART-
dc.type.docTypeProceeding-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaScience & Technology - Other Topics-
dc.relation.journalResearchAreaMaterials Science-
dc.relation.journalResearchAreaPhysics-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryNanoscience & Nanotechnology-
dc.relation.journalWebOfScienceCategoryMaterials Science, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryPhysics, Applied-
dc.subject.keywordPlusFluid dynamics-
dc.subject.keywordPlusHard disk storage-
dc.subject.keywordPlusCapillary phenomena-
dc.subject.keywordPlusClearance volume-
dc.subject.keywordPlusFluid dynamic bearings-
dc.subject.keywordPlusKirchhoff-
dc.subject.keywordPlusOil injection-
dc.subject.keywordPlusRecirculation channels-
dc.subject.keywordPlusSpindle motors-
dc.subject.keywordPlusVolume flow rate-
dc.subject.keywordPlusForecasting-
dc.identifier.urlhttps://link.springer.com/article/10.1007%2Fs00542-016-2840-4-
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