Show simple item record

dc.contributor.authorEmin Burak Ozyilmaz
dc.contributor.authorMustafa Kaya
dc.contributor.other Department of Aerospace Engineering, Ankara Yildirim Beyazit University, 06010 Ankara, Turkiye
dc.contributor.other Department of Aerospace Engineering, Ankara Yildirim Beyazit University, 06010 Ankara, Turkiye
dc.date.accessioned2025-08-27T14:00:04Z
dc.date.accessioned2025-10-08T08:35:46Z
dc.date.available2025-10-08T08:35:46Z
dc.date.issued01-08-2025
dc.identifier.urihttp://digilib.fisipol.ugm.ac.id/repo/handle/15717717/36175
dc.description.abstractAn oscillating wing was evaluated for its ability to deliver air mass flow. The evaluation was based on exploring the oscillation parameters that provide a given mass flow rate at the least power requirement with the highest possible thrust generation. Wing oscillation was defined as coupled pitch and plunge motions. The support vector regression algorithm was implemented as a machine learning tool to link the oscillation parameters to power and thrust values. The required power and generated thrust values were computed by solving the unsteady turbulent flows around the wings. The results were also compared to the performance of an axial flow fan that delivered the same amount of air mass flow. It was found that an oscillating wing is compatible with an axial fan in terms of power requirement and thrust generation.
dc.language.isoEN
dc.publisherMDPI AG
dc.subject.lccMotor vehicles. Aeronautics. Astronautics
dc.titleAssessment of Oscillating Wings to Deliver Air Mass Flow Under Power and Thrust Constraints
dc.typeArticle
dc.description.keywordsoscillating wings
dc.description.keywordsair mass flow
dc.description.keywordscomputational fluid dynamics
dc.description.keywordsmachine learning
dc.description.keywordssupport vector regression
dc.description.keywordsoptimization
dc.description.doi10.3390/aerospace12080740
dc.title.journalAerospace
dc.identifier.e-issn2226-4310
dc.identifier.oaioai:doaj.org/journal:2cee926732e84d95ae944810b8e15b62
dc.journal.infoVolume 12, Issue 8


This item appears in the following Collection(s)

Show simple item record