CuO–water mhd mixed convection analysis and entropy generation minimization in double-lid–driven u-shaped enclosure with discrete heating

• Autorzy: Mliki Bouchmel , Miri Rached , Djebali Ridha , Abbassi Mohamed A.

Identyfikatory

DOI

10.2478/ama-2023-0013

• Języki publikacji: EN

Abstrakty

EN

The present study explores magnetic nanoliquid mixed convection in a double lid–driven U-shaped enclosure with discrete heat-ing using the lattice Boltzmann method (LBM) numerical method. The nanoliquid thermal conductivity and viscosity are calculated using the Maxwell and Brinkman models respectively. Nanoliquid magnetohydrodynamics (MHD) and mixed convection are analyzed and entropy generation minimisation has been studied. The presented results for isotherms, stream isolines and entropy generation describe the interaction between the various physical phenomena inherent to the problem including the buoyancy, magnetic and shear forces. The operating parameters’ ranges are: Reynolds number (Re: 1–100), Hartman number (Ha: 0–80), magnetic field inclination (γ: 0°–90°), nanoparticles volume fraction (ϕ: 0–0.04) and inclination angle (α: 0°–90°). It was found that the 𝑁𝑢𝑚 and the total entropy generation augment by increasing Re, ϕ: and γ. conversely, an opposite effect was obtained by increasing Ha and α. The optimum magnetic field and cavity inclination angles to maximum heat transfer are γ = 90° and α = 0.

Słowa kluczowe

EN

U-shaped enclosure; MHD mixed convection; nanoliquids; double lid-driven cavity; entropy generation; LBM

• Wydawca: Oficyna Wydawnicza Politechniki Białostockiej
• Czasopismo: Acta Mechanica et Automatica
• Rocznik: 2023
• Tom: Vol. 17, no. 1
• Strony: 112--123
• Opis fizyczny: Bibliogr. 53 poz., rys., tab., wykr.

Twórcy

autor

Mliki Bouchmel

• Research Lab, Technology Energy and Innovative Materials, Faculty of Sciences, University of Gafsa, Gafsa 2112, Tunisia

• https://orcid.org/0000-0002-0200-8060

autor

Miri Rached

• Research Lab, Technology Energy and Innovative Materials, Faculty of Sciences, University of Gafsa, Gafsa 2112, Tunisia

• https://orcid.org/0000-0001-9113-5370

autor

Djebali Ridha

• UR22ES12: Modeling Optimization and Augmented Engineering, ISLAIB, University of Jendouba, Beja 9000, Tunisia

• https://orcid.org/0000-0002-1017-3410

autor

Abbassi Mohamed A.

• Research Lab, Technology Energy and Innovative Materials, Faculty of Sciences, University of Gafsa, Gafsa 2112, Tunisia

• https://orcid.org/0000-0002-1915-0944

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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).