Pool boiling is one of the most common methods used in industries due to its high extent rate ofheat transfer. Therefore, it is necessary to predict the pool boiling heat transfer rate. In recent years, most efforts have focused on measuring and simulatingthe boiling process. In this study, pool boiling of nanofluids is investigated numerically. Important parameters such as heat transferrate, critical heat flux, heat transfer coefficient,boiling curves of nanofluids,and operating pressure on pool boiling are determined.Simulations performed using Fluent 14 and the desired geometry was gained through Ansys Design Modeler.Initially, simulations carried out with water and nanofluid of aluminum oxide with of 2 and 0.8 wt.%concentrations and the simulation results compared with the experimental data.Then simulations repeated with the previous geometry of titanium oxide nanofluids with concentrations of 2 and 0.8 wt.%to investigate the effect of nanoparticles on the boiling curve and boiling heat transfer coefficient.The simulation results showed that the addition of aluminum oxide nanoparticles increasesthe heat flux and heat transfer coefficient.Furthermore, enhancement of thealuminum oxide nanofluid concentration from0.8wt.% to 2 wt.%, increases the rate of transfer coefficient with average of 10%.The simulation carried out at pressures of 84.55, 101.3and 120.8KPa for nanofluids of aluminum oxide 2 wt.%and the results showed that the pressure increase decreases in excess temperature at a constant heat flux and also more heat transfers when the rate of heat at the surface is lower.In order to evaluate the critical heat flux, simulations performed with aluminum oxide nanofluids and it was observed that enhancement of the concentration of nanoparticles increases the critical heat flux.In case of using alumina nanofluids with concentration of 2 wt.%, the critical heat flux increase up to11.3%in camparisonwith the pure water. Keywords:Pool Boiling, Nanofluid , Boiling Curve, Computational Fluid Dynamics