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Performance Determination of Axial Wind Tunnel Fan with Reverse Engineering, Numerical and Experimental Methods

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dc.contributor.author Koçak, Eyup
dc.contributor.author Aylı, Ece
dc.date.accessioned 2024-05-08T08:22:24Z
dc.date.available 2024-05-08T08:22:24Z
dc.date.issued 2022-08-01
dc.identifier.citation Koçak, Eyup; Aylı, Ece. (2022). "Performance Determination of Axial Wind Tunnel Fan with Reverse Engineering, Numerical and Experimental Methods", Journal of Computing and Information Science in Engineering, Vol.22, No.4. tr_TR
dc.identifier.issn 15309827
dc.identifier.uri http://hdl.handle.net/20.500.12416/8164
dc.description.abstract In today's technology, in case of the need for rehabilitation, renovation, or damage, it is necessary to recover the problems quickly with a cost-effective approach. In the case of destructive failure, or misdesign of the devices, replacing the problematic part with the new design is crucial. In order to substitute the related part with the efficient one, reverse engineering (RE) methodology is utilized. In this paper, from the perspective of engineering implementation and based on the idea of reverse engineering, axial wind tunnel fan is rehabilitated using numerical and experimental methods. The current study is focused on an axial pressurization fan placed into Cankaya University Mechanical Engineering Laboratory wind tunnel that has firm guaranteed specifications of 5.55 m3/s airflow capacity. The measurements performed during experiments showed that the fan provides less than 60% airflow compared with firm guaranteed specifications. In order to determine the problems of the existing fan, a reverse engineering methodology is developed, and the noncontact data acquisition method is used to form a computer aided drawing (CAD) model. A computational fluid dynamics (CFD) methodology is developed to analyze existing geometry numerically, and results are compared with an experimental study to verify numerical methodology. According to the results, the prediction accuracy of the numerical method can attain 92.95% and 96.38% for flowrate and efficiency, respectively, at the maximum error points. tr_TR
dc.language.iso eng tr_TR
dc.relation.isversionof 10.1115/1.4053672 tr_TR
dc.rights info:eu-repo/semantics/closedAccess tr_TR
dc.subject Axial Fan tr_TR
dc.subject Blade tr_TR
dc.subject Cfd tr_TR
dc.subject Experiment tr_TR
dc.subject Rehabilitation tr_TR
dc.subject Reverse Engineering tr_TR
dc.subject Wind Tunnel tr_TR
dc.title Performance Determination of Axial Wind Tunnel Fan with Reverse Engineering, Numerical and Experimental Methods tr_TR
dc.type article tr_TR
dc.relation.journal Journal of Computing and Information Science in Engineering tr_TR
dc.contributor.authorID 283455 tr_TR
dc.contributor.authorID 265836 tr_TR
dc.identifier.volume 22 tr_TR
dc.identifier.issue 4 tr_TR
dc.contributor.department Çankaya Üniversitesi, Mühendislik Fakültesi, Makine Mühendisliği Bölümü tr_TR


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