| Autor: |
Trembois, Nikos P., Jacobellis, George |
| Předmět: |
|
| Zdroj: |
ITEA Journal of Test & Evaluation; Mar2022, Vol. 43 Issue 1, p19-23, 5p |
| Abstrakt: |
This research project was conducted with the Army Research Laboratory at Aberdeen Proving Ground, MD. The objective was to assess the ability to predict self-noise of rotorcraft using wall pressure spectrum models. This is a new need that has emerged from the downscaling of rotors on rotorcraft, partly due to new battery technology which has expanded the missions that electric rotorcraft can perform. Wall pressure spectrum models have been used to calculate self-noise of airfoils and rotorcraft flow from low-fidelity simulations. This research will use high-fidelity computational fluid dynamics (CFD) simulation to evaluate the effect of 3D rotorcraft flow on the blade boundary layer and make a CFD driven self-noise prediction. A higher resolution grid is required to accurately capture the boundary layer to the degree required for acoustic assessment, leading to a grid study to find the appropriate balance between acoustic accuracy and computational time. The grid study required modification to an automated grid generation process to simplify and lessen the time required to create a grid, which enabled more cases to be considered by varying more parameters. Finally, it was found that the boundary layer parameters can be successfully extracted from the CFD simulation and used with the Lee wall pressure spectrum model to predict the self-noise of a rotor blade. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
|
