## 3 Results and Discussions
In areas where the  
Figure 12: (**a**) Contour density of external fluid volume at Z = p05.0 [cm], (**b**) Z = p10.0 [cm], (c) Z = p15.0 [cm], and (**d**) Z = p20.0 [cm]. temperature decreases, it is seen that the dynamic pressure value decreases and hovers around 69.47 Pa. In the analysis where changing dynamic pressure values are observed, it can be observed that the heated refrigerant R152a approaches a homogeneous structure. In Figure 14, the distribution of dynamic pressure contours is simulated for the H\({}_{2}\)O external fluid volume at \(Z=\) p00.0 [cm]. It was observed that the dynamic pressure value increased to around 3.88 Pa in localizations where the temperature increased. In areas where the temperature decreases, it is seen that the dynamic pressure value decreases  
Figure 6:0 Contour dynamic pressure of H\({}_{2}\)O volume at \(Z=\) p00.0 [cm]. Figure 6:1 Contour dynamic pressure of R152a volume at \(Z=\) p00.0 [cm]. Prandtl. In Figure 15, the distribution of Prandtl number contours is simulated for the R152a internal fluid at Z = p00.0 [cm]. This number is defined as follows:  
Figure 6:2  
* \(v\), kinematic viscosity, (m\({}^{2}\)/s);
* \(a\), thermal diffusion coefficient, (m\({}^{2}\)/s);
* \(\mu\), dynamic viscosity, (Pa s = (N s)/m\({}^{2}\));
* \(k\), thermal conduction coefficient, (W/(m K));
* \(c_{p}\), specific heat, (J /(kg K));
* \(\rho\), density, (kg/m\({}^{3}\)). Unlike the Reynolds number and Grashof number, the Prandtl number depends only on the type and state of the fluid. For this reason, the Prandtl number is frequently included next to property tables where the viscosity and thermal conductivity coefficient of fluids are shown. The following are some typical values for the Prandtl number (for low Pr, thermal conductivity is strong; for high Pr, thermal convection is strong):  
* Mercury: 0.015;
* Noble gas or hydrogen-noble gas mixtures: 0.16-0.7;
* Air and many other gasses: 0.7-0.8;
* Between 4 and 5 for R-12 refrigerant;
* Seven for water (20 degrees Celsius);
* Engine oil: 100-40,000,
* Earth's mantle: 1 \(\times\) 1025. For mercury, thermal conduction is more effective than thermal convection; thermal diffusion dominates. For engine oil, thermal convection is much more effective in energy transfer. Here, too, viscous diffusion is dominant. In heat transfer problems, the Prandtl number controls the relative thicknesses of the viscous and thermal boundary layers. When Pr is small, this indicates that heat is diffusing too quickly. This means that, in liquid metals, the thermal boundary layer is much larger than the momentum boundary layer. Additionally, the equivalent of the Prandtl number in mass transfer is the Schmidt number. In Figure 16, the distribution of Prandtl number contours is simulated for the H\({}_{2}\)O external fluid volume at Z = p00.0 [cm]. It was observed that the maximum value of the Prandtl number increased to around 3.056 with the effect of temperature and pressure drops. In locations where the temperature decreases, the Prandtl number value decreases and hovers around 2.828. In the analysis where changing Prandtl number values are observed, it can be observed that the heated water moves away from the homogeneous structure and exhibits divergent behavior. In Figure 17, the distribution of total pressure contours is simulated for the R152a refrigerant internal fluid volume at Z = p00.0 [cm]. Figures 17 and 18 are graphs showing the total pressure distribution in the internal and external fluid volumes. Total pressure is an important metric to evaluate the performance of the system. The graphs show the pressure differences at the inlet and outlet areas of the system. Total pressure is demonstrated in a simulation in which the behavior of two different fluids with the multiphase effect is examined in the process of cooling the hot water coming from the process with the R152a refrigerant. As a result of the analyses, the total pressure value could reach maximum values of 98,661.28 Pa and 100,324.98 Pa.