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A study on the estimation method of the form factor for a full-scale ship

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dc.contributor.authorLee, Y.-G.-
dc.contributor.authorHa, Y.-J.-
dc.contributor.authorLee, S.-H.-
dc.contributor.authorKim, S.H.-
dc.date.accessioned2021-08-03T04:30:07Z-
dc.date.available2021-08-03T04:30:07Z-
dc.date.issued2018-
dc.identifier.issn0007-215X-
dc.identifier.issn1845-5859-
dc.identifier.urihttps://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/542-
dc.description.abstractIn this study, a prediction method of the form factor for a full-scale ship is suggested to minimize the power prediction error from a small model ship. Numerical simulations were carried out at various Reynolds numbers from a small model to a full-scale ship. The variation of the form factors was investigated from the results of the numerical simulation according to the Reynolds numbers. In addition, the results from the numerical simulations and experimental data of the geosim models were utilized to drive the correlation line and predict the form factor of a full-scale ship. The correlation line was applied to predict the effective power and the delivered power of a full-scale ship. As a result, the developed prediction method confirmed the possibility of predicting the power reliably from experiments using a small model. ? 2018, Brodarski Institute. All rights reserved.-
dc.format.extent17-
dc.language영어-
dc.language.isoENG-
dc.publisherBrodarski Institute-
dc.titleA study on the estimation method of the form factor for a full-scale ship-
dc.typeArticle-
dc.publisher.location크로아티아-
dc.identifier.doi10.21278/brod69105-
dc.identifier.scopusid2-s2.0-85046756297-
dc.identifier.bibliographicCitationBrodogradnja, v.69, no.1, pp 71 - 87-
dc.citation.titleBrodogradnja-
dc.citation.volume69-
dc.citation.number1-
dc.citation.startPage71-
dc.citation.endPage87-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordAuthorDelivered power-
dc.subject.keywordAuthorEffective power-
dc.subject.keywordAuthorForm factor-
dc.subject.keywordAuthorGeosim models-
dc.subject.keywordAuthorReynolds number-
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