Improvement of Turbulent Flow in a Bend Using Rotational Guide Vane: a Shape Optimization

dc.contributor.author Yagmur, S.
dc.contributor.author Gumus, M.S.
dc.contributor.author Dogan, S.
dc.contributor.author Kalyoncu, M.
dc.date.accessioned 2023-12-09T06:55:16Z
dc.date.available 2023-12-09T06:55:16Z
dc.date.issued 2023
dc.description.abstract The present study aims to minimize velocity disruption using rotational guide vane (RGV) before the 90° pipe bend where the curvature ratio is r/D = 1.0 at Re = 3 × 104. The combination of computational fluid dynamics and genetic algorithm is used as a tool for the geometric optimization of RGV. The SST k-ω turbulence model was preferred in flow analysis. The number of blade, the blade angle, and the location of RGV are the geometric parameters to be optimized. A new evaluation method of the velocity distribution after the bend is proposed. The objective function is defined as velocity distribution mean squared error that is based on the comparison of the velocity distribution on the cross section after the bend with the fully developed flow in a straight pipe under the same conditions. As a result of a series of optimization processes, velocity distribution at the 90° bend exit is compared between optimized RGV and without guide vane. The results show that the optimized RGV improves velocity distribution at the bend exit. Compared to the without guide vane case, the optimized RGV has delayed flow separation from α = 37° to 56°, and the flow reattachment point moves from x/D = 0.5 to 0 at the bend exit. Thanks to optimized RGV, the counter-rotating Dean vortices merged to form a single vortex at the center of the pipe. In addition, significant reduction in turbulent kinetic energy was observed, approximately 50% when using the optimized RGV compared to the without guide vane case. © 2023 Author(s). en_US
dc.identifier.doi 10.1063/5.0172385
dc.identifier.issn 1070-6631
dc.identifier.issn 1089-7666
dc.identifier.scopus 2-s2.0-85175556408
dc.identifier.uri https://doi.org/10.1063/5.0172385
dc.identifier.uri https://hdl.handle.net/20.500.13091/4860
dc.language.iso en en_US
dc.publisher American Institute of Physics Inc. en_US
dc.relation.ispartof Physics of Fluids en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Computational fluid dynamics en_US
dc.subject Flow separation en_US
dc.subject Genetic algorithms en_US
dc.subject Kinetic energy en_US
dc.subject Kinetics en_US
dc.subject Mean square error en_US
dc.subject Pareto principle en_US
dc.subject Shape optimization en_US
dc.subject Turbulence models en_US
dc.subject Vortex flow en_US
dc.subject Blade angle en_US
dc.subject Curvature ratio en_US
dc.subject Flow analysis en_US
dc.subject Geometric optimization en_US
dc.subject Guide-vane en_US
dc.subject Mean squared error en_US
dc.subject New evaluation methods en_US
dc.subject Objective functions en_US
dc.subject Pipe bend en_US
dc.subject Shape-optimization en_US
dc.subject Velocity distribution en_US
dc.title Improvement of Turbulent Flow in a Bend Using Rotational Guide Vane: a Shape Optimization en_US
dc.type Article en_US
dspace.entity.type Publication
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gdc.coar.access open access
gdc.coar.type text::journal::journal article
gdc.description.department KTÜN en_US
gdc.description.departmenttemp Yagmur, S., Faculty of Engineering and Natural Sciences, Department of Mechanical Engineering, Konya Technical University, Selcuklu, Konya, 42250, Turkey; Gumus, M.S., Faculty of Engineering and Natural Sciences, Department of Mechanical Engineering, Konya Technical University, Selcuklu, Konya, 42250, Turkey; Dogan, S., Faculty of Engineering and Natural Sciences, Department of Mechanical Engineering, Konya Technical University, Selcuklu, Konya, 42250, Turkey; Kalyoncu, M., Faculty of Engineering and Natural Sciences, Department of Mechanical Engineering, Konya Technical University, Selcuklu, Konya, 42250, Turkey en_US
gdc.description.issue 10 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q2
gdc.description.volume 35 en_US
gdc.description.wosquality Q1
gdc.identifier.openalex W4387941008
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gdc.opencitations.count 8
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gdc.virtual.author Kalyoncu, Mete
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