## 3 Results
Figure 10: Number of drops with diameters \(d_{d}\leq 10\)\(\upmu\)m existing in the main flow at the 2 nd sampling line, at fan frequency \(n=5\) Hz. Figure 9: Quantity of all droplets present in the core of the flow against turbulence intensity. The highest velocity gradients exist in the field of \(BL\). The results obtained (for \(SCh_{1}\) at \(2^{nd}\) sampling line) follow this rule, which is depicted in Figures 14 and 15. It was observed that for the maximum speed of the airflow, \((u_{max})\), achieved at fan frequency (\(n=6\) Hz) and corresponding value of turbulence intensity \(Tu\cong 1.33\), number of droplets with diameters of about one micron \(dN_{min}\) in the core of the flow was the highest which is depicted in Figure 8. The data that were obtained and their analysis are consistent and appropriate since the same conclusion can be drawn by analyzing the data outlined in Figures 5, 12, and 13. The concentration of larger droplets \(dN_{max}\) in the core of the flow, for its part, is the lowest since the boundary layer is the thinnest (Figure 14). The number of large droplets (Figure 14) increases with the growth of the boundary layer thickness. Since the boundary layers start to overlap significantly, the number of large droplets in the core of the flow reaches the maximum value. Taking account of the results, it is expected that the Magnus force is responsible for directing the droplets from the core of the flow towards the wall and vice versa.It was noticed that the impact of the Magnus force on the direction and the value of the droplet stopping distance varies nonlinearly with the variation in the droplet diameter and the value of the local velocity gradient. The following conditions led to the acquisition of data presented in Figure 15: \(0.198\leq\bar{d}_{d}\)\(\mathrm{mm}\leq 1.34\) and \(n=5\) Hz with \(e_{4}:\alpha=90\)\({}^{\circ}\) and \(e_{1}:\alpha=30\)\({}^{\circ}\) at the end of the \(SCh_{2}\) channel. The aim was to visualize the differences in the quantity of the micron and sub-micron droplets measured between the 4 th and the 5 th sampling lines of the \(SCh_{2}\) channel, at the end of which \(e_{4}\) and \(e_{1}\) were mounted alternatively. The discrepancies between quantitative measurements of droplets in the channel with both the elbow \(e_{4}\) and \(e_{1}\) attached alternately at its end are depicted using \(\Delta N_{e_{4}}\) and \(\Delta N_{e_{1}}\). As depicted in Figure 15, \(\Delta N_{e_{4}}\) is higher in value compared to \(\Delta N_{e_{1}}\). In the flow through channel elbows with large curvature (\(e_{4}\)), detachment of the boundary layer occurs and induced vortices are being formed, unlike those with mild curvature (\(e_{1}\)). The flow regime in channels with a wide curvature angle resembles the free vortexes flow. By these means an increased mixing of gas and droplets occurs. Therefore, the usage of the elbow with large curvature provides growth in the number of droplets with diameters that are within microns and sub-microns, as desired. Figure 4:0 BL thickness as a function of the maximum speed of the airflow. Figure 4:1 Turbulence intensity as a function of the maximum speed of the airflow at varying fan frequencies. Figure 4:2 Quantity of sub-micron and micron droplets as a function of the thickness of the boundary layer. interpretation of the empirical results, it is possible to predict the number and size of droplets that will follow the mist flow depending on the length of the \(SCh_{2}\).