Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/7570
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dc.contributor.authorKor, Orçun-
dc.contributor.authorAcarer, Sercan-
dc.contributor.authorÖzkol, Ünver-
dc.date.accessioned2020-01-08T07:21:20Z
dc.date.available2020-01-08T07:21:20Z
dc.date.issued2018-05en_US
dc.identifier.citationKor, O., Acarer, S., and Özkol, Ü. (2018). Aerodynamic optimization of through-flow design model of a high by-pass transonic aero-engine fan using genetic algorithm. Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, 232(3), 211-224. doi:10.1177/0957650917730466en_US
dc.identifier.issn0957-6509
dc.identifier.issn0957-6509-
dc.identifier.urihttps://doi.org/10.1177/0957650917730466
dc.identifier.urihttps://hdl.handle.net/11147/7570
dc.description.abstractThis study deals with aerodynamic optimization of a high by-pass transonic aero-engine fan module in a through-flow inverse design model at cruise condition. To the authors’ best knowledge, although the literature contains through-flow optimization of the simplified cases of compressors and turbines, an optimization study targeting the more elaborate case of combined transonic fan and splitter through-flow model is not considered in the literature. Such a through-flow optimization of a transonic fan, combined with bypass and core streams separated by an aerodynamically shaped flow splitter, possesses significant challenges to any optimizer, due to highly non-linear nature of the problem and the high number of constraints, including the fulfillment of the targeted bypass ratio. It is the aim of this study to consider this previously untouched area in detail and therefore present a more sophisticated and accurate optimization environment for actual bypass fan systems. An in-house optimization code using genetic algorithm is coupled with a previously developed in-house through-flow solver which is using a streamline curvature technique and a set of in-house calibrated empirical models for incidence, deviation, loss and blockage. As the through-flow models are the backbone of turbomachinery design, and great majority of design decisions are taken in this phase, such a study is assessed to result in significant guidelines to the gas turbine community.en_US
dc.description.sponsorshipTusaş Engine Industriesen_US
dc.language.isoenen_US
dc.publisherSAGE Publications Inc.en_US
dc.relation.ispartofProceedings of the Institution of Mechanical Engineers Part A: Journal of Power and Energyen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAir breathing enginesen_US
dc.subjectAxial fansen_US
dc.subjectAxial flow compressorsen_US
dc.subjectCompressor aerodynamicsen_US
dc.subjectTurbomachinery aerodynamicsen_US
dc.titleAerodynamic optimization of through-flow design model of a high by-pass transonic aero-engine fan using genetic algorithmen_US
dc.typeArticleen_US
dc.authorid0000-0001-8235-1557en_US
dc.institutionauthorÖzkol, Ünver-
dc.departmentİzmir Institute of Technology. Mechanical Engineeringen_US
dc.identifier.volume232en_US
dc.identifier.issue3en_US
dc.identifier.startpage211en_US
dc.identifier.endpage224en_US
dc.identifier.wosWOS:000435491500001en_US
dc.identifier.scopus2-s2.0-85046748411en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1177/0957650917730466-
dc.relation.doi10.1177/0957650917730466en_US
dc.coverage.doi10.1177/0957650917730466en_US
dc.identifier.wosqualityQ3-
dc.identifier.scopusqualityQ2-
item.openairetypeArticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextopen-
item.fulltextWith Fulltext-
item.languageiso639-1en-
item.cerifentitytypePublications-
crisitem.author.dept03.10. Department of Mechanical Engineering-
Appears in Collections:Mechanical Engineering / Makina Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Sürdürülebilir Yeşil Kampüs Koleksiyonu / Sustainable Green Campus Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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