In this study, infrared thermometry techniques were used to conduct surface wetting performance tests (wicking tests) on micropillar structures with good fluid supply capabilities to enhance the critical heat flux. Wicking tests were conducted based on various micropillar shapes (i.e., diameter and spacing) to investigate the surface wetting performance near the boiling point of the fluid(~100°C). The surface temperature was increased from 20°C to 95°C, to examine the wicking performance The shape of the micropillars were quantified by the roughness and the effect of the roughness and temperature on the wicking performance was analyzed. As a result, we confirmed that the roughness of the micropillars increases the capillary pressure, improving the wicking performance. The sample D04 G10 with the highest roughness coefficient at room temperature (r=2.51) exhibited the highest wicking coefficient, showing a 170% improvement in wicking performance compared to D04G20 with the smallest roughness coefficient at room temperature(r=1.51). Additionally, the D04 G10 sample (r=2.51) recorded a 50% improvement in the wicking coefficient at the highest temperature(95°C) compared to room temperature(20°C). The wicking coefficient data will be utilized as a database for developing a new correlation for critical heat flux.

In this study, numerical analysis is conducted to investigate the flow characteristics of a turning type flood gate fishway with various design factors. The shapes of the fishway are circular and rectangular type. Baffles are installed to reduce the velocity in the fishway, and the gap and rotational arrangement of the baffles are set as design factors. To reduce the maximum velocity, a cavity-shaped break region is installed to examine the flow characteristics according to the presence of the break region. As a result, in the condition where the shape of the fishway is rectangular, the outlet average flow velocity is larger than that in the circular condition. The highest flow velocity occurs when the baffle is rotated in 90-degree arrangement. As the baffle gap increases, the average velocity increases. The cavity-shaped break region creates a recirculation zone in the fishway, and as a result, shows a decrease in the maximum velocity of up to 5.8%.

Numerical analysis for flow and noise characteristics of sirocco fan design factors is conducted in this study. 4 cases of blade angle(α=24°~30°) and 5 cases of RPM(390~1170RPM) are calculated. Flow characteristics are compared for the number of blades. Outlet flow rate is tended to decrease as the number of blades increased. There is little difference in the flow characteristics for the angle of blade. The highest outlet flow rate is predicted at α=24°, and the lowest at α=28°. Flow and noise characteristics are compared for α=24° and 26°. Outlet flow rate is almost similar in both cases, but noise for α=24° is predicted higher at high RPM conditions.

In this study, numerical analysis is conducted to understand the flow characteristics of the radial impeller with the design parameters such as the blade shape and position using the ANSYS Fluent software. The shape of blade is divided into two types, a backward curved blade and an airfoil forward curved blade. To examine the fundamental flow characteristics near the blades, a rectangular flow field is modeled and analyzed. On the other hand, for the impeller rotation analysis, the simulation is performed by modeling the rotational region separately. As a result, the airfoil forward curved blade shows higher outlet flow rate than the backward curved blade. In addition, as the depth of the impeller and the attachment angle of blade increase, the higher flow rate appears.

In this paper, the heat transfer performance of nanofluids is predicted by numerical analysis methods. The nanoparticles used in this study is SiO2, with concentrations of 1, 2, 3vol.%, and the base fluid is water. Reynolds number of nanofluids ranges from 10,000 to 50,000. A numerical study on the heat transfer characteristics of nanofluid was conducted using a single-phase model. The temperature of the fluid entering from the inlet of the tube is 293.15K. A constant heat flux of 31,650W/m2 was applied at the wall, and the thickness of the wall was ignored. Heat transfer coefficients, thermal conductivity and Nusselt number were selected as indicators for comparing heat transfer performance of nanofluids. As the nanofluid concentration increases, the temperature and velocity distribution by the cross section of the coil tube and straight tube increased. As the Reynolds number increases, temperature difference between inner direction and outer direction reduced in coil tube. For straight tube, the temperature difference between the wall and the center of the tube also decreased.

PartI of this paper identified the location and size of the noise sources from the axial flow fans, and partII based on that, identified the magnitude of sound pressure from the case and the blade according to frequency in the range of 2200 Hz to 5000 Hz. The equation of Lighthill was used for calculation. Generally, when measuring noise, the analytical area was extended more than 1m from the outlet of the fan. To eliminate the effects of backflow coming from the rear of the fan, the analytical area was extended a little longer than 1m. From the results of the analysis, high noise occurs in the low frequency area, and the lower noise becomes in the high frequency area. The maximum sound pressure generated in the range of 2000Hz~5000Hz is 65dB at a distance of 1m and 82dB at the outlet of the fan. Noise of the fan mainly occurred around the blade and guide, and the noise decreased as the frequency increased between 2200Hz and 3400Hz, but the noise increased as the frequency increased between 3800Hz and 5000Hz.

In this study, numerical analysis was carried out to develop low-noise axial fans, which are often used for ventilation in houses. A commercial program and the turbulence models are used for the analysis of internal fan. Proudman acoustic power model and the Curle surface acoustic power model were used for analysis. As a result, the distribution of flow velocity and pressure around the blade and guide of the fan was high, and low in the center of the fan. Noise from the inner wall of the fan case and the blade surface was the highest at the body and vane connections of the blade, and low at the center of the vane and the center of the body.