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Finite Volume Simulation of mixed convection in an inclined lid-driven cavity filled with nanofluids: Effects of a hot elliptical centric cylinder, cavity angle and volume fraction of nanoparticles

Author

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  • Al-Rashed, Abdullah A.A.A.
  • Shahsavar, Amin
  • Akbari, Mohammad
  • Toghraie, Davood
  • Akbari, Mohammadreza
  • Afrand, Masoud

Abstract

In this study, the mixed convection of nanofluid containing water as a base fluid and aluminum oxide as a nanoparticles in a lid-driven cavity including a hot elliptical centric cylinder is studied. The effects of a hot elliptical centric cylinder, cavity angle (α) and solid volume fraction (ϕ) of nanoparticles are investigated. The obtained results show that with increase of solid volume fraction and due to more condensation of nanofluid and more Brownian motion, the claustration phenomena occurred and resulting an increase of thermal conductivity and convection heat transfer coefficients (k, h) and heat transferred more from the higher temperature surface to the lower temperature wall. Also, heat transfer (q) and Nusselt number (Nu) increased due to the increase in the temperature difference (ΔT) between the hot cylinder and lower temperature surfaces at a constant cavity angle, solid volume fraction and Richardson number (Ri). By considering all diagrams, the highest value of nanofluid’s velocity was around the cap and right-side wall and the lowest velocity value was around the thermal cylinder and left side and down walls. The results show that the increase rate of the Nu from 0 to 45∘ in ϕ=0.1% and 0.2% and base fluid is equal to 1.7, 0.8 and 0.3 respectively.

Suggested Citation

  • Al-Rashed, Abdullah A.A.A. & Shahsavar, Amin & Akbari, Mohammad & Toghraie, Davood & Akbari, Mohammadreza & Afrand, Masoud, 2019. "Finite Volume Simulation of mixed convection in an inclined lid-driven cavity filled with nanofluids: Effects of a hot elliptical centric cylinder, cavity angle and volume fraction of nanoparticles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 527(C).
    • Handle: RePEc:eee:phsmap:v:527:y:2019:i:c:s0378437119306788
    DOI: 10.1016/j.physa.2019.121122
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    Cited by:

    1. Arani, Ali Akbar Abbasian & Alirezaie, Ali & Kamyab, Mohammad Hassan & Motallebi, Sayyid Majid, 2020. "Statistical analysis of enriched water heat transfer with various sizes of MgO nanoparticles using artificial neural networks modeling," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 554(C).
    2. Lekoko, Modisawatsona Lucas & Oloniiju, Shina Daniel & Magalakwe, Gabriel, 2022. "Analysis of buoyancy driven flow inside a vertical filter chamber," Chaos, Solitons & Fractals, Elsevier, vol. 161(C).
    3. Goutam Saha & Ahmed A.Y. Al-Waaly & Manosh C. Paul & Suvash C. Saha, 2023. "Heat Transfer in Cavities: Configurative Systematic Review," Energies, MDPI, vol. 16(5), pages 1-53, February.
    4. Tian, Zhe & Rostami, Sara & Taherialekouhi, Roozbeh & Karimipour, Arash & Moradikazerouni, Alireza & Yarmand, Hooman & Zulkifli, Nurin Wahidah Binti Mohd, 2020. "Prediction of rheological behavior of a new hybrid nanofluid consists of copper oxide and multi wall carbon nanotubes suspended in a mixture of water and ethylene glycol using curve-fitting on experim," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 549(C).

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