Enhancement of Air-Blower Performance by Modified Blades Configuration using Computational Fluid Dynamics (CFD)

Abstract

Air blowers are critical components in various industrial applications, including HVAC, pneumatics, and the aeration process, where efficient air movement is essential. This study focusses on evaluating the aerodynamic performance, including pressure distribution, velocity profiles, and flow patterns within the blower using atransient solver method. Three different turbine designs are modelled and investigated for their performance analysis. Spline and elevated spline turbines are proposed for this study's performance improvement, and these designs are compared to the narrow turbine designs. The results from ANSYS CFD provided detailed insights into the internal flow dynamics, enabling the identification of key parameters that influence the blower’s performance, such as blade geometry and housing design. Through this analysis, valuable recommendations are offered for optimising air-blower designs to enhance their operational efficiency and reliability. The study reveals that the spline turbine design has a higher air mass flow rate compared to other designs. By utilising various impeller and housing geometries, further research is anticipated to aid in the creation of air blower designs that are more energy-efficient, which will have an impact on lower operating costs and increased sustainability in industrial operations. Our long-term objective is to reduce energy usage and maximise air blower performance. In the end, this will result in an economical and ecologically beneficial solution for a range of industrial applications.