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Second law analysis of mhd forced convective nanoliquid flow through a two-dimensional channel

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The present study deals with fluid flow, heat transfer and entropy generation in a two-dimensional channel filled with Cu–water nanoliquid and containing a hot block. The nanoliquid flow is driven along the channel by a constant velocity and a cold temperature at the inlet, and the partially heated horizontal walls. The aim of this work is to study the influence of the most important parameters such as nanoparticle volume fraction (0%≤ϕ≤4%), nanoparticle diameter (5 nm≤dp≤55 nm), Reynolds number (50≤Re≤200), Hartmann number (0≤Ha≤90), magnetic field inclination angle (0≤γ≤π) and Brownian motion on the hydrodynamic and thermal characteristics and entropy generation. We used the lattice Boltzmann method (LBM: SRT-BGK model) to solve the continuity, momentum and energy equations. The obtained results show that the maximum value of the average Nusselt number is found for case (3) when the hot block is placed between the two hot walls. The minimum value is calculated for case (2) when the hot block is placed between the two insulated walls. The increase in Reynolds and Hartmann numbers enhances the heat transfer and the total entropy generation. In addition, the nanoparticle diameter increase reduces the heat transfer and the irreversibility, the impact of the magnetic field inclination angle on the heat transfer and the total entropy generation is investigated, and the Brownian motion enhances the heat transfer and the total entropy generation.
Słowa kluczowe
Rocznik
Strony
417--431
Opis fizyczny
Bibliogr. 48 poz., rys., tab., wykr.
Twórcy
autor
  • Research Lab, Technology Energy and Innovative Materials, Faculty of Sciences, University of Gafsa, Gafsa 2112, Tunisia
  • Research Lab, Technology Energy and Innovative Materials, Faculty of Sciences, University of Gafsa, Gafsa 2112, Tunisia
  • UR: Modelling Optimization and Augmented Engineering, ISLAIB, University of Jendouba, Av. de l'UMA, Jendouba 8189, Tunisia
  • UR: Modelling Optimization and Augmented Engineering, ISLAIB, University of Jendouba, Av. de l'UMA, Jendouba 8189, Tunisia
Bibliografia
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Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-1fd09a40-a689-4556-b1d2-c7ac164f2213
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