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Convection Inside Nanofluid Cavity with Mixed Partially Boundary Conditions

Author

Listed:
  • Raoudha Chaabane

    (Laboratory of Thermal and Energetic Systems Studies (LESTE), National School of Engineering of Monastir, University of Monastir, Monastir 5000, Tunisia)

  • Annunziata D’Orazio

    (Dipartimento di Ingegneria Astronautica, Elettrica ed Energetica, Facoltà di Ingegneria, Sapienza University of Rome, Via Eudossiana 18, 00184 Rome, Italy)

  • Abdelmajid Jemni

    (Laboratory of Thermal and Energetic Systems Studies (LESTE), National School of Engineering of Monastir, University of Monastir, Monastir 5000, Tunisia)

  • Arash Karimipour

    (Department of Mechanical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran)

  • Ramin Ranjbarzadeh

    (Department of Civil, Constructional and Environmental Engineering, Sapienza University of Rome, Via Eudossiana 18, 00184 Roma, Italy)

Abstract

In recent decades, research utilizing numerical schemes dealing with fluid and nanoparticle interaction has been relatively intensive. It is known that CuO nanofluid with a volume fraction of 0.1 and a special thermal boundary condition with heat supplied to part of the wall increases the average Nusselt number for different aspect ratios ranges and for high Rayleigh numbers. Due to its simplicity, stability, accuracy, efficiency, and ease of parallelization, we use the thermal single relaxation time Bhatnagar-Gross-Krook (SRT BGK) mesoscopic approach D 2 Q 9 scheme lattice Boltzmann method in order to solve the coupled Navier–Stokes equations. Convection of CuO nanofluid in a square enclosure with a moderate Rayleigh number of 10 5 and with new boundary conditions is highlighted. After a successful validation with a simple partial Dirichlet boundary condition, this paper extends the study to deal with linear and sinusoidal thermal boundary conditions applied to part of the wall.

Suggested Citation

  • Raoudha Chaabane & Annunziata D’Orazio & Abdelmajid Jemni & Arash Karimipour & Ramin Ranjbarzadeh, 2021. "Convection Inside Nanofluid Cavity with Mixed Partially Boundary Conditions," Energies, MDPI, vol. 14(20), pages 1-20, October.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:20:p:6448-:d:652345
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    References listed on IDEAS

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    1. Goodarzi, Marjan & D’Orazio, Annunziata & Keshavarzi, Ahmad & Mousavi, Sayedali & Karimipour, Arash, 2018. "Develop the nano scale method of lattice Boltzmann to predict the fluid flow and heat transfer of air in the inclined lid driven cavity with a large heat source inside, Two case studies: Pure natural ," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 210-233.
    2. Haddad, Zoubida & Oztop, Hakan F. & Abu-Nada, Eiyad & Mataoui, Amina, 2012. "A review on natural convective heat transfer of nanofluids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 5363-5378.
    3. Toghraie, Davood & Karimipour, Arash & Safaei, Mohammad Reza & Goodarzi, Marjan & Alipour, Habibollah & Dahari, Mahidzal, 2016. "Investigation of rib's height effect on heat transfer and flow parameters of laminar water–Al2O3 nanofluid in a rib-microchannelAuthor-Name: Akbari, Omid Ali," Applied Mathematics and Computation, Elsevier, vol. 290(C), pages 135-153.
    4. Liu, Qing & He, Ya-Ling, 2017. "Lattice Boltzmann simulations of convection heat transfer in porous media," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 742-753.
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    Cited by:

    1. Gianpiero Colangelo & Marco Milanese & Giuseppe Starace & Arturo de Risi, 2023. "Advances in the Development of New Heat Transfer Fluids Based on Nanofluids," Energies, MDPI, vol. 16(2), pages 1-3, January.

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