An optimum set of loss models for performance prediction of centrifugal compressors

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dc.contributor.authorChung, Myung Kyoonko
dc.date.accessioned2013-02-27T21:44:09Z-
dc.date.available2013-02-27T21:44:09Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued1997-
dc.identifier.citationPROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART A-JOURNAL OF POWER AND ENERGY, v.211, no.4, pp.331 - 338-
dc.identifier.issn0957-6509-
dc.identifier.urihttp://hdl.handle.net/10203/71017-
dc.description.abstractThe present study has tested most of the loss models previously published in the open literature and found an optimum set of empirical loss models for a reliable performance prediction of centrifugal compressors. In order to improve the prediction of efficiency curves, this paper recommends a modified parasitic loss model. The performance analyses by using various empirical loss models are also compared with those by the two-zone modelling. Predicted performance curves by the proposed optimum set agree fairly well with experimental data for a variety of centrifugal compressors. The prediction method developed through this study can serve as a tool for preliminary design and assist the understanding of the operational characteristics of general purpose centrifugal compressors.-
dc.languageEnglish-
dc.publisherMECHANICAL ENG PUBL LTD-
dc.titleAn optimum set of loss models for performance prediction of centrifugal compressors-
dc.typeArticle-
dc.identifier.wosidA1997YE01000006-
dc.identifier.scopusid2-s2.0-0031443745-
dc.type.rimsART-
dc.citation.volume211-
dc.citation.issue4-
dc.citation.beginningpage331-
dc.citation.endingpage338-
dc.citation.publicationnamePROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART A-JOURNAL OF POWER AND ENERGY-
dc.identifier.doi10.1243/0957650971537231-
dc.contributor.localauthorChung, Myung Kyoon-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorcentrifugal compressors-
dc.subject.keywordAuthormean streamline analysis-
dc.subject.keywordAuthorloss correlations-
dc.subject.keywordAuthortwo-zone modelling-
dc.subject.keywordAuthorperformance prediction-
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ME-Journal Papers(저널논문)
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