Back to Search
Start Over
Investigation of rotor–stator interaction broadband noise using a RANS-informed analytical method
- Source :
- Chinese Journal of Aeronautics. 34:53-66
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- A Reynolds-Averaged Navier Stokes (RANS)-information analytical method for predicting Rotor-Stator Interaction (RSI) broadband noise is established in this paper. First, the turbulence information is deduced from RANS simulation result. Then, the unsteady load on the stator blade is calculated using a strip theory approach based on LINearized SUBsonic unsteady flow in cascade (LINSUB) and 2-D equivalence method. In the end, the sound power of RSI broadband noise is calculated by coupling the unsteady load on the stator blade with acoustic analogy and annular duct mode. The broadband noise model part of the RANS-information analytical method is validated against the upstream sound power of an annular cascade experimental bench. Besides, the RANS-information analytical method is used in predicting RSI broadband noise of a single-stage axial fan acoustic experimental bench, the results illustrate that the RANS-information analytical method can accurately predict the RSI broadband noise in different fan working conditions. After simplification the Wave Leading Edge (WLE) stator blade, the effect of WLE stator blade on RSI broadband noise is studies. Although the simplification may bring some discrepancies, the results illustrate that the RANS-information analytical method has the capability for further studies on the broadband noise reduction with WLE stator blade.
- Subjects :
- 0209 industrial biotechnology
Leading edge
Stator
Computer science
Mechanical Engineering
Acoustics
Aerospace Engineering
02 engineering and technology
Sound power
01 natural sciences
010305 fluids & plasmas
law.invention
Quantitative Biology::Subcellular Processes
Physics::Fluid Dynamics
Rotor–stator interaction
020901 industrial engineering & automation
Mechanical fan
law
Cascade
0103 physical sciences
Reynolds-averaged Navier–Stokes equations
Reduction (mathematics)
Subjects
Details
- ISSN :
- 10009361
- Volume :
- 34
- Database :
- OpenAIRE
- Journal :
- Chinese Journal of Aeronautics
- Accession number :
- edsair.doi...........d1d23646c970822a0631732b5d70054d
- Full Text :
- https://doi.org/10.1016/j.cja.2021.02.003