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Axial fans are widely used in many areas to provide necessary air and heat and mass transfer, especially in HVAC industry. These fans are designed according to their cooling, heating and drying needs. In this optimization study, the performance of the 16-blade novel design axial fan CVS-AJ-R 1000 is analyzed in 3D using Computational Fluid Dynamics (CFD) technique. First, forward skewed 3D CAD geometry of axial fan is drawn and normalized for CFD pre-processing step. Then volumetric flow rates, pressures, energy consumptions and air velocities were evaluated in inlet and outlet region optimizing blade angle, shroud angle and other design parameters. Results are agreed with experimental studies. Optimized results are discussed and reported comparing with literature studies.

CFD Modeling and Multi-Objective Optimization of the Axial Fan Parameters