dc.contributor.author | Gönül, A. | |
dc.contributor.author | Okbaz, A. | |
dc.contributor.author | Kayacı, Nurullah | |
dc.contributor.author | Selim Dalkılıç, A. | |
dc.date.accessioned | 2022-05-11T14:26:52Z | |
dc.date.available | 2022-05-11T14:26:52Z | |
dc.date.issued | 2022 | |
dc.identifier.issn | 1359-4311 | |
dc.identifier.uri | https://doi.org/10.1016/j.applthermaleng.2021.117738 | |
dc.identifier.uri | https://hdl.handle.net/20.500.11776/6629 | |
dc.description.abstract | In this study, delta winglet-type vortex generators, widely used in conventional macro channels and proven to be effective, are used in microchannels to increase their heat transfer capacities. The effects of vortex generators on heat transfer and pressure loss characteristics are studied numerically for different angles of attack, vortex generator arrangement type, the transverse and longitudinal distance between vortex generators, vortex generator length and height, and different Reynolds numbers. The thermal and hydraulic characteristics are presented as the Nusselt number, the friction factor, and the performance evaluation criteria number (PEC) that takes into account the heat transfer enhancement and the corresponding increase in pressure loss. The variation of Nu/Nu0, f/f0, and PEC are found to be in the range of 1.03–1.87, 1.04–1.8, and 0.92–1.62, respectively. A multi-objective optimization study are performed with the response surface methodology analysis to see how different parameters affect heat transfer and pressure loss and to determine the most optimum design. Besides, local sensitivity analysis study is carried out through the RSM, and water inlet velocity for heat transfer enhancement is found to be the most effective parameter. Among the geometric parameters, vortex generator height is determined as the most effective factor. Finally, practical Nusselt number and friction factor correlations taking many parameters into account are proposed to be able to compare the results of other researchers, and for engineers designing microchannel cooling systems. © 2021 Elsevier Ltd | en_US |
dc.description.sponsorship | WO.007–16N; International Association for the Study of Pain, IASP; Horizon 2020 Framework Programme, H2020; H2020 Marie Sk?odowska-Curie Actions, MSCA: 706475 | en_US |
dc.description.sponsorship | This project has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No 706475 and was supported by the 2016 Early Research Career Grant of the International Association for the Study of Pain (IASP) of Dimitri Van Ryckeghem. Finally, the manuscript was initiated at the Expert Meeting “Cognitive biases” in Belgium, supported by the International Research Community grant “Pain, Action and INterference (WO.007–16N)”. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Elsevier Ltd | en_US |
dc.identifier.doi | 10.1016/j.applthermaleng.2021.117738 | |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Genetic algorithm | en_US |
dc.subject | Heat transfer enhancement | en_US |
dc.subject | Microchannel | en_US |
dc.subject | Multi-objective optimization | en_US |
dc.subject | Vortex generator | en_US |
dc.subject | Angle of attack | en_US |
dc.subject | Cooling systems | en_US |
dc.subject | Delta wing aircraft | en_US |
dc.subject | Friction | en_US |
dc.subject | Genetic algorithms | en_US |
dc.subject | Heat transfer coefficients | en_US |
dc.subject | Heat transfer performance | en_US |
dc.subject | Multiobjective optimization | en_US |
dc.subject | Nanofluidics | en_US |
dc.subject | Nusselt number | en_US |
dc.subject | Reynolds number | en_US |
dc.subject | Sensitivity analysis | en_US |
dc.subject | Vortex flow | en_US |
dc.subject | Vorticity | en_US |
dc.subject | Delta winglets | en_US |
dc.subject | Flow optimization | en_US |
dc.subject | Heat Transfer enhancement | en_US |
dc.subject | Heat transfer loss | en_US |
dc.subject | Loss characteristics | en_US |
dc.subject | Multi-objectives optimization | en_US |
dc.subject | Performance evaluation criteria | en_US |
dc.subject | Pressure loss | en_US |
dc.subject | Transfer capacities | en_US |
dc.subject | Vortex generators | en_US |
dc.subject | Microchannels | en_US |
dc.title | Flow optimization in a microchannel with vortex generators using genetic algorithm | en_US |
dc.type | article | en_US |
dc.relation.ispartof | Applied Thermal Engineering | en_US |
dc.department | Fakülteler, Çorlu Mühendislik Fakültesi, Makine Mühendisliği Bölümü | en_US |
dc.identifier.volume | 201 | en_US |
dc.institutionauthor | Kayacı, Nurullah | |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.authorscopusid | 56462583800 | |
dc.authorscopusid | 55256278300 | |
dc.authorscopusid | 55645106500 | |
dc.authorscopusid | 57330326600 | |
dc.identifier.scopus | 2-s2.0-85118854784 | en_US |