Flow optimization in a microchannel with vortex generators using genetic algorithm
Yükleniyor...
Dosyalar
Tarih
2022
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier Ltd
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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
Açıklama
Anahtar Kelimeler
Genetic algorithm, Heat transfer enhancement, Microchannel, Multi-objective optimization, Vortex generator, Angle of attack, Cooling systems, Delta wing aircraft, Friction, Genetic algorithms, Heat transfer coefficients, Heat transfer performance, Multiobjective optimization, Nanofluidics, Nusselt number, Reynolds number, Sensitivity analysis, Vortex flow, Vorticity, Delta winglets, Flow optimization, Heat Transfer enhancement, Heat transfer loss, Loss characteristics, Multi-objectives optimization, Performance evaluation criteria, Pressure loss, Transfer capacities, Vortex generators, Microchannels
Kaynak
Applied Thermal Engineering
WoS Q Değeri
Scopus Q Değeri
Q1
Cilt
201
