4.7 Article

Mixed convection heat transfer utilizing Nanofluids, ionic Nanofluids, and hybrid nanofluids in a horizontal tube

Journal

ALEXANDRIA ENGINEERING JOURNAL
Volume 61, Issue 12, Pages 9495-9508

Publisher

ELSEVIER
DOI: 10.1016/j.aej.2022.03.0011110-0168

Keywords

Nanofluids; Hybrid nanofluids; Ionic nanofluids; Mixed convection; Tube

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This study numerically investigates the mixed convective heat transfer and pressure drop of nanofluids in an isothermal horizontal tube. The results show that nanofluids can enhance heat transfer, with the maximum average Nusselt number increase of 15.5% for Al2O3. Ionic nanofluids demonstrate promising results with a significant increase (37%) in the Nusselt number, while hybrid nanofluids show no enhancement.
Mixed convective heat transfer and pressure drop penalty of nanofluids flow in an isothermal horizontal tube are numerically examined in developed flow region. The study examines three types of nanofluids, simple nanofluids ([Water]/ Al2O3 , TiO2, and Cu), Hybrid nanofluids ([Water]/ Al2O3 + Cu), and Ionic nanofluids ([C4mim] [NTf2]/ Al2O3). Richardson number is varied from 0.016 to 2, and Reynolds number is varied from 500 to 2000. The governing equations are solved numerically via the finite volume method by using the SIMPLER algorithm computer code. The computer code is validated by comparing the average Nusselt number with the experimental published data, a good agreement was observed. Performance evaluation criterion (k) is introduced to evaluate the heat transfer enhancement gain of nanofluid usage to pressure drop penalty at different concentrations of nanoparticles. Results for nanofluids show that the maximum enhancement of the average Nusselt number is 15.5 % for Al2O3 with a concentration of 2% at Richardson number of 0.016. However, for hybrid nanofluids, no enhancement is noticed. Ionic nanofluid results are promising, as the Nusselt number increases significantly (by 37%) with a concentration of 2.5%. Finally, findings of various types of nanofluids investigated in the same numerical conditions are reported and compared. (C) 2022 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University.

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