The convection heat transfers on a surface exposed to the fluid may be enhanced by attaching to the surface, known as the fins. To keep the system stable, heat transmission via solids, boundaries, or walls must be continuously dissipated to the environment or surroundings. A large quantity of heat must be dissipated from a small space in many engineering applications. A fin can boost the surface area’s effectiveness; hence, maximize convectional heat. Two shapes of straight aluminum fins have been used, cylindrical and star shape. The result shows that the star fins are appealing due to the same diameter and length; it has a lot more heat transfer than a cylindrical fin. In electronic devices, cylindrical and star fins are provided on the surface of the processor device. The result is done by SolidWorks simulation with 300 ºC on the surface as well as cylindrical and star fin. Input parameters like thermal conductivity, heat transfer coefficient, as well as fin’s density and dimensions are measured. The temperature distribution, heat flow, as well as heat flux all resembles output parameters.
The supersonic double wedge airfoil performs quite excellent in the supersonic speed regime but would lead to poor performance at subsonic speed regime due to sharp edges stall. For this purpose a theoretical and experimental study was undertaken to improve performance characteristics of the supersonic double wedge airfoil at low speed by using passive-active flow controlling methods. The proposed passive method was a shape modification through changing the sharp leading edge and mid-section upperand lower surface apex to smooth curved control segment actived during subsonic flight regime; and the blowing technique was used as an active method. ANSYS FLUENT CFD package was used to simulate the flow around the standard and modified airfoils. Low speed wind tunnel tests were also conducted in order to measure pressures and velocities chordal-wise the model airfoils fabricated to accomplish these wind tunnel tests.The results had proven that theproposed flow controlling methods had improved the performance of the double wedge airfoil at low speed. The maximum lift coefficient 𝐶 𝑙,𝑚𝑎𝑥 was increased by about (38%) and the stall angle for 𝐶 𝑙,𝑚𝑎𝑥 was jumped from ( 12°) for the standard airfoil to ( 18°) for the modified airfoil with blowing. The experimental results coincide well with the theoretical results.
A propeller generates lift in the direction of revolution, similar to a revolving wing. Many previous propeller optimization techniques exist; nevertheless, they often find the optimal thrust coefficient at a constant power coefficient and vice versa. Using two types of algorithms, the genetic algorithm (GA), and the ant colony algorithm (ACO), and comparing with each other, this study will discover the optimal value of the thrust coefficient and the power coefficient combined to obtain the optimum value of the thrust and the lowest value of the power at the same time. A Simple Blade Element Theory Blade served as the foundation for all assumptions. This article examined over 80 various designs, brands, and types of propellers in a 2-blade configuration with diameters ranging from 2.5 to 19 inches and varying pitch values. The data for the baseline propeller was obtained from the UIUC Propeller Database. The inputs for the optimization are the propeller type, diameter, pitch angle, rotational speed, thrust coefficient, and power coefficient. The results show that by determining the factor of interest in the thrust coefficient (FITC), the algorithm can find the optimal propeller specifications. When the (FITC) is 100%, the algorithm will ignore the effect of the power coefficient and vice versa. In the instance (FITC) is 100 percent, the genetic algorithm performed much better than the ant colony algorithm (ACO). But the Ant colony algorithm is more accurate than the genetic algorithm.
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