To fulfill the SFWA objectives of reduced engine noise, a major effort is required towards innovative noise control methodologies and improved predictive capability of the CFD/CAA software systems. The present project combines an experimental investigation of two, low TRL flow/noise control options, associated with an innovative and highly efficient numerical CFD/CAA approach. On the experimental side, the first noise control method, based on porous treatment of the blades, will be tested in an anechoic facility. The associated acoustic impedance will be determined as input for the CFD/CAA approach. The second concept relies on active blade surface to control the front rotor wake by actuators on the front rotor blade, possibly DBD plasma actuators. The wake characteristics behind the actuated blades will be tested in a cascade facility. On the numerical side, the DINNO-CROR proposal is based on an advanced new approach for the CFD determination of the noise sources and on the acoustic analogy for far-field noise propagation. While the CAA approach relies on a time domain formulation of the FW-H equations, the critical issue remains to deliver fast and accurate unsteady CFD-solutions for prediction of the noise sources. The DINNO-CROR project will apply the nonlinear harmonic method (NLH) which allows a gain in CPU compared to current CFD methodologies, of close to three orders of magnitude. This method has been largely validated and applied on multistage turbines and compressors, and its extension to CROR’s has recently been initiated. In the present project it will be further extended to include the physics of the investigated noise control systems. In TASK 2, the NLH methodology will be extended to model the interaction of the rotor with the pylon. For Concept 1, the boundary layer absorption will be modeled by introducing an impedance boundary conditions on the pylon; while for Concept 2, the non-radial pylon will be modeled directly as a solid surface.
Fields of science
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcomputer hardwarecomputer processor
- natural sciencescomputer and information sciencessoftwaresystem software
- natural sciencesearth and related environmental sciencesenvironmental sciencespollution
Call for proposal
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