Turbomachinery noise
Abstract
Summarized here are key advances in experimental techniques and theoretical applications which point the way to a broad understanding and control of turbomachinery noise. On the experimental side, the development of effective inflow control techniques makes it possible to conduct, in ground based facilities, definitive experiments in internally controlled blade row interactions. Results can now be valid indicators of flight behavior and can provide a firm base for comparison with analytical results. Inflow control coupled with detailed diagnostic tools such as blade pressure measurements can be used to uncover the more subtle mechanisms such as rotor strut interaction, which can set tone levels for some engine configurations. Initial mappings of rotor wake-vortex flow fields have provided a data base for a first generation semiempirical flow disturbance model. Laser velocimetry offers a nonintrusive method for validating and improving the model. Digital data systems and signal processing algorithms are bringing mode measurement closer to a working tool that can be frequently applied to a real machine such as a turbofan engine. On the analytical side, models of most of the links in the chain from turbomachine blade source to far field observation point have been formulated. Three dimensional lifting surface theory for blade rows, including source noncompactness and cascade effects, blade row transmission models incorporating mode and frequency scattering, and modal radiation calculations, including hybrid numerical-analytical approaches, are tools which await further application.
- Publication:
-
Aeroacoustics of Flight Vehicles: Theory and Practice. Volume 1: Noise Sources
- Pub Date:
- August 1991
- Bibcode:
- 1991afvt....1..151G
- Keywords:
-
- Control Systems Design;
- Flow Distribution;
- Noise (Sound);
- Turbofan Engines;
- Turbomachine Blades;
- Turbomachinery;
- Algorithms;
- Data Bases;
- Data Systems;
- Digital Data;
- Far Fields;
- Flight Characteristics;
- Frequencies;
- Laser Doppler Velocimeters;
- Mathematical Models;
- Pressure Measurement;
- Rotors;
- Scattering;
- Signal Processing;
- Struts;
- Acoustics