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 Microstructural-observation of nanoparticles. MN and HN TC were studied at temperature ranges of 25 to 50oC 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 50oC temperature - 1.0% volume fraction, individually. Different correlations have been calculated for numerical modeling, with R2=0.9 and also, Artificial neural network (ANN) has been modeled with R2=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.
