Nanofluids consist of liquid and solid (nanoparticles). Therefore, they can be classified as two-component
flow, which brings up different approaches for simulation purposes. In this study, heat transfer and
hydrodynamic features of nanoparticles in a laminar nanofluid flow in a vertical tube were investigated
numerically through the Lagrangian and Eulerian approaches. Discrete Phase Model (DPM) in the
Lagrangian approach simulates the motion of particles through base flow with force balance equation.
Therefore, there is no need for empirical correlations, at least for the thermophysical properties, which
they are not universal and change for different fluids and/or nanoparticles. Although general empirical
or analytical correlations are needed for some interactions between solid and liquid such as
Thermophoresis, Brownian and clustering effects, they were not extensive and could be employed in
most of the cases. Mixture model in the Eulerian approach provides more reliable results, but it highly
depends on the accuracy of the correlations for the thermophysical properties of the nanofluid. In the present
study, three common types of nanofluids consisting of Alumina, Zirconia and Silica nanoparticles (up
to 2.76% of volume fraction) were studied and the results were compared with experimental works.
Numerical simulations indicated that the findings were in good agreement with the measured heat transfer
coefficient for DPM. Consequently, DPM could be highly recommended for simulation studies due to
the strength and simplicity. It was also observed that the effects of nanoparticles in each computational
cell needed to be distributed to the other neighbourhood cells. Pressure loss results predicted by DPM
were found to be reliable for volume fraction less than 3%, notwithstanding the types of nanoparticles
or diameter. DPM velocity profiles showed that the slip velocity between nanoparticles and base flow
was not negligible.