Numerical algorithms for the flow of cooling tower axial fans in the flow wise direction and span... more Numerical algorithms for the flow of cooling tower axial fans in the flow wise direction and span-wise direction have been transformed and solved by the Matlab application with a graphical user interface to obtain the optimum axial fan design. The analyses of the velocity and pressure distributions were achieved using the thin airfoil theory. The fan has a single rotor with no inlet or outlet guide vanes and produces a large amount of flow rate and a small pressure rise. Then, the air flow governing equations for the new design were solved using the commercial computational fluid dynamics (CFD) code ANSYS CFX-16.0. A comparison between the new design and an existed design (usually a mean line design approach) of the ammonia Received: (27 July, 2016) revised: (4 December, 2016) accepted: (20 December, 2016) Ahmad A. El Saiid, Mechanical Power Engineering Department, Faculty of Engineering, Mansoura University, El-Mansoura 35516, Egypt. Emails: ahmsaiid@gmail.com. Mohamed H. Mansour, ...
Numerical algorithms for the flow of cooling tower axial fans in the flow wise direction and span... more Numerical algorithms for the flow of cooling tower axial fans in the flow wise direction and span-wise direction have been transformed and solved by the Matlab application with a graphical user interface to obtain the optimum axial fan design. The analyses of the velocity and pressure distributions were achieved using the thin airfoil theory. The fan has a single rotor with no inlet or outlet guide vanes and produces a large amount of flow rate and a small pressure rise. Then, the air flow governing equations for the new design were solved using the commercial computational fluid dynamics (CFD) code ANSYS CFX-16.0. A comparison between the new design and an existed design (usually a mean line design approach) of the ammonia Received: (27 July, 2016) revised: (4 December, 2016) accepted: (20 December, 2016) Ahmad A. El Saiid, Mechanical Power Engineering Department, Faculty of Engineering, Mansoura University, El-Mansoura 35516, Egypt. Emails: ahmsaiid@gmail.com. Mohamed H. Mansour, ...
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