Back to Search
Start Over
Computational analysis of noise reduction devices in axial fans with stabilized finite element formulations
- Publication Year :
- 2012
- Publisher :
- SPRINGER, 2012.
-
Abstract
- The paper illustrates how a computational fluid mechanic technique, based on stabilized finite element formulations, can be used in analysis of noise reduction devices in axial fans. Among the noise control alternatives, the study focuses on the use of end-plates fitted at the blade tips to control the leakage flow and the related aeroacoustic sources. The end-plate shape is configured to govern the momentum transfer to the swirling flow at the blade tip. This flow control mechanism has been found to have a positive link to the fan aeroacoustics. The complex physics of the swirling flow at the tip, developing under the influence of the end-plate, is governed by the rolling up of the jet-like leakage flow. The RANS modelling used in the computations is based on the streamline-upwind/Petrov---Galerkin and pressure-stabilizing/Petrov---Galerkin methods, supplemented with the DRDJ stabilization. Judicious determination of the stabilization parameters involved is also a part of our computational technique and is described for each component of the stabilized formulation. We describe the flow physics underlying the design of the noise control device and illustrate the aerodynamic performance. Then we investigate the numerical performance of the formulation by analysing the inner workings of the stabilization operators and of their interaction with the turbulence model.
- Subjects :
- Engineering
Turbulence
business.industry
Applied Mathematics
Mechanical Engineering
Noise reduction
Computational Mechanics
Mechanical engineering
Ocean Engineering
Aerodynamics
Finite element method
Physics::Fluid Dynamics
Computational Mathematics
Flow control (fluid)
anisotropic
finite element
numerical methods
Computational Theory and Mathematics
Aeroacoustics
Noise control
Reynolds-averaged Navier–Stokes equations
business
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....4654aabfa946e61539a64848ee303fc3