4.7 Article

Thermal performance of a mini-channel heat exchanger (MCHE) working with CNT/GNP-based non-Newtonian nanofluids

Journal

JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
Volume 145, Issue 5, Pages 2307-2319

Publisher

SPRINGER
DOI: 10.1007/s10973-020-09800-x

Keywords

Heat-exchanger; Mini channel; Graphene nanoparticles (GNP); Single-walled carbon nanotubes (SWCNT)

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The heat transfer of non-Newtonian nanofluids in a wavy microchannels heat exchanger was studied experimentally and numerically. The results showed that increasing flowrate and relative waviness enhanced convective heat transfer, but also increased pressure drop. Comparisons with experimental data indicated that GNP/BF nanofluid performed the best, and both wavy configurations improved heat transfer efficiency, with the double-layer configuration being the better option.
In this work, the heat transfer of the non-Newtonian nanofluids inside a wavy microchannels heat exchanger (WMCHE) in cross-flow configuration has been experimentally and numerically studied. The Reynolds number (Re) does not have unique definition for non-Newtonian fluids. The non-Newtonian carboxyl methyl cellulose (CMC) aqueous solution containing 0.2 mass% CMC is used as base fluid (BF). The single-walled carbon nanotubes (CNT) and graphene nanoparticles (GNP) were added to the BF in 0.1 mass% as two other test fluids. Here, an equation based on the assumption of laminar flow is used in order to evaluate Re as a function of experimentally measured pressure drop. However, this assumption needs a similar form of friction factor relation to that of Newtonian fluids that is verified based on numerical simulation. In the presented work, finite element method (FEM) was utilized to perform the numerical modeling through Comsol Multiphysics software. Results show that as flowrate and relative waviness(2A/2L) increase, the convective heat transfer coefficient could be intensified. In terms of pressure drop, it was seen that with increasing the flowrate and relative waviness(2A/2L) of nanofluids, pressure drop was intensified. The results are compared to the experimental data and showed good agreement. The proposed performance index implies that GNP/BF nanofluid is the best one and both of two kinds of wavy configurations enhance the heat transfer efficiency, although the wavy two configurations are better.

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