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Thermal conductivity enhancement of nanofluid by adding multiwalled carbon nanotubes: Characterization and numerical modeling patterns

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Nanofluid is divided in two major section, Mono nanofluid (MN) and hybrid nanofluid (HN). MN is created when a solid nano-particle disperses in a fluid, while HN has more than… Click to show full abstract

Nanofluid is divided in two major section, Mono nanofluid (MN) and hybrid nanofluid (HN). MN is created when a solid nano-particle disperses in a fluid, while HN has more than one solid nanomaterial. In this research, Iron (III) Oxide (Fe3O4) is MN and Fe3O4 plus Multi-Walled Carbon Nanotube (MWCNT) is HN, while both are mixed and dispersed into the water basefluid. Thermal conductivity (TC) of Fe3O4/Water and MWCNT/Fe3O4/Water, were measured after preparation and numerical model performed on the resulted data. Then, X-ray diffraction analysis (XRD) and Energy dispersive X-ray analysis (EDX) were studied for Phase and structural analysis. After that, Field emission scanning electron microscope (FESEM) was studied for Microstructuralobservation of nanoparticles. MN and HN TC were studied at temperature ranges of 25 to 50C and volume fractions of 0.2 to 1.0%. For MN and HN, Thermal conductivity enhancement (TCE) of 32.76% and 33.23%, was measured at 50C temperature 1.0% volume fraction, individually. Different correlations have been calculated for numerical modeling, with R=0.9 and also, Artificial neural network (ANN) has been modeled with R=0.999. Deviation of 0.6007% and 0.6096%, were calculated for given correlations for MN and HN individually. Deviation of 0.5862% and 0.6057%, were calculated for trained models, for MN and HN individually. Thus, by adding MWCNT to Fe3O4-H2O nanofluid, TC is enhanced 0.47% and this HN has agreeable heat transfer potential.

Keywords: thermal conductivity; nanofluid; carbon; conductivity enhancement; numerical modeling

Journal Title: Mathematical Methods in the Applied Sciences
Year Published: 2020

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