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Nanofluid MHD forced convection heat transfer around the elliptic obstacle inside a permeable lid drive 3D enclosure considering lattice Boltzmann method

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  • Sheikholeslami, M.
  • Keramati, Hadi
  • Shafee, Ahmad
  • Li, Zhixiong
  • Alawad, Omer A.
  • Tlili, I.

Abstract

In current article, forced convection of aluminum oxide-H2O nanofluid within a permeable non-Darcy 3D domain with a local elliptic heater of constant temperature in appearance of uniform magnetic field was scrutinized. Local elliptic heater of constant high temperature is placed in the center of cavity. Governing equations formulated using Brownian motion impact for nanofluid properties have been solved by lattice Boltzmann method. Influences of permeability, Reynolds number and Lorentz on alumina hydrothermal behavior have been reported. Obtained outputs have proved the growth of the Nusselt number with the lid velocity and permeability of domain, but Nu declines with the Lorentz forces. Conduction improves with augment of magnetic forces.

Suggested Citation

  • Sheikholeslami, M. & Keramati, Hadi & Shafee, Ahmad & Li, Zhixiong & Alawad, Omer A. & Tlili, I., 2019. "Nanofluid MHD forced convection heat transfer around the elliptic obstacle inside a permeable lid drive 3D enclosure considering lattice Boltzmann method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 87-104.
    • Handle: RePEc:eee:phsmap:v:523:y:2019:i:c:p:87-104
    DOI: 10.1016/j.physa.2019.02.014
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    1. Liu, Qun & Jiang, Daqing & Hayat, Tasawar & Alsaedi, Ahmed, 2018. "Long-time behavior of a stochastic logistic equation with distributed delay and nonlinear perturbation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 289-304.
    2. Kamiński, Marcin & Ossowski, Rafał Leszek, 2014. "Prediction of the effective parameters of the nanofluids using the generalized stochastic perturbation method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 393(C), pages 10-22.
    3. Arabkoohsar, A. & Andresen, G.B., 2017. "Thermodynamics and economic performance comparison of three high-temperature hot rock cavern based energy storage concepts," Energy, Elsevier, vol. 132(C), pages 12-21.
    4. Safaei, Mohammad Reza & Karimipour, Arash & Abdollahi, Ali & Nguyen, Truong Khang, 2018. "The investigation of thermal radiation and free convection heat transfer mechanisms of nanofluid inside a shallow cavity by lattice Boltzmann method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 515-535.
    5. Mahmoudi, Ahmed & Mejri, Imen & Omri, Ahmed, 2016. "Study of natural convection cooling of a nanofluid subjected to a magnetic field," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 333-348.
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    Cited by:

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    17. Reddy, M. Gnaneswara & Rani, M.V. V. N.L. Sudha & Kumar, K. Ganesh & Prasannakumar, B.C. & Chamkha, Ali J., 2020. "Cattaneo–Christov heat flux model on Blasius–Rayleigh–Stokes flow through a transitive magnetic field and Joule heating," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 548(C).
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