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DOUBLE-DIFFUSIVE NATURAL AND MIXED CONVECTION OF BINARY NANOFLUIDS IN POROUS CAVITIES

Volume 23, Issue 10, 2020, pp. 955-967
DOI: 10.1615/JPorMedia.2020027144
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ABSTRACT

In this contribution, double-diffusive natural and mixed convection of nanofluids in porous cavities are simulated for cases wherein the base fluid is itself a binary mixture (i.e., salty water). To this aim, a new mathematical model based on the Buongiorno's two-phase model is proposed. The current model incorporates thermophysical properties of a solid matrix, nanoparticles, salt, and water in the governing parameters. The resulting equations are solved using the finite volume approach and the outcomes are successfully validated against previous works. Simulation results are presented and discussed for several cases with the solid matrix being aluminum foam or glass balls and the nanoparticles being Ag, Al2O3, carbon nanotubes (CNT), Co, Cu, CuO, Fe3O4, MgO, TiO2, or ZnO. Inspection of the results in the natural and mixed convection environments demonstrates that CuO−salty water nanofluid leads to the highest heat and mass transfer rates. Moreover, it is found that with replacement of glass balls with aluminum foam, the flow strength rises but the heat transfer rate deteriorates.

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CITED BY
  1. Zahmatkesh Iman, Sheremet Mikhail, Yang Liu, Heris Saeed Zeinali, Sharifpur Mohsen, Meyer Josua P., Ghalambaz Mohammad, Wongwises Somchai, Jing Dengwei, Mahian Omid, Effect of nanoparticle shape on the performance of thermal systems utilizing nanofluids: A critical review, Journal of Molecular Liquids, 321, 2021. Crossref

  2. Zahmatkesh Iman, Habibi Shandiz Mohammad Reza, MHD double-diffusive mixed convection of binary nanofluids through a vertical porous annulus considering Buongiorno’s two-phase model, Journal of Thermal Analysis and Calorimetry, 147, 2, 2022. Crossref

  3. Habibishandiz M., Saghir M.Z., A critical review of heat transfer enhancement methods in the presence of porous media, nanofluids, and microorganisms, Thermal Science and Engineering Progress, 30, 2022. Crossref

  4. Pourpasha Hadi, Farshad Pedram, Zeinali Heris Saeed, Modeling and optimization the effective parameters of nanofluid heat transfer performance using artificial neural network and genetic algorithm method, Energy Reports, 7, 2021. Crossref

  5. Nath Ratnadeep, Murugesan Krishnan, Impact of nanoparticle shape on thermo-solutal buoyancy induced lid-driven-cavity with inclined magnetic-field, Propulsion and Power Research, 11, 1, 2022. Crossref

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