Table 1 Summary of related literature.
From: Air volume flow rate optimization of the guide vanes in an axial flow fan based on DOE and CFD
Literature | Findings |
|---|---|
The performance of axial fans could be effectively improved by blade forward tilt and blade forward sweep | |
The turbulent kinetic energy downstream of the fan is highly affected by the sweep | |
The standard k-ε turbulence model is insufficient in axial fans simulations | |
Taguchi mass loss function was used to decrease the noise and increase the mass flow rate | |
The influence of blade angle and radial blade angle was parameterized | |
Artificial neural networks and genetic algorithms were combined to optimize the calculation |
