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Uncoupling Coriolis Force and Rotating Buoyancy Effects on Full-Field Heat Transfer Properties of a Rotating Channel
Published on: October 5, 2018
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Extrapolation of rotating sound fields
1Department of Mechanical Engineering, University of Bath, Claverton Down, Bath, BA2 7AY, United Kingdom.
The Journal of the Acoustical Society of America
|April 2, 2018
Summary
This study introduces a novel method for calculating the acoustic field of rotating machinery like rotors and propellers. The technique accurately models sound in both near and far fields using minimal pressure data.
Area of Science:
- Acoustics
- Computational physics
- Aerodynamic noise
Background:
- Accurate acoustic field computation is crucial for understanding noise generated by sources like rotors and propellers.
- Existing methods often require complex data, including acoustic velocity or pressure gradients, limiting their practical application.
- Near-field and far-field acoustic predictions typically rely on separate models or assumptions.
Purpose of the Study:
- To develop an exact acoustic field computation method for tonal circular sources.
- To enable accurate predictions in both near and far fields using only sampled pressure data.
- To minimize the number of required input data points for efficient computation.
Main Methods:
- An exact mathematical formulation is derived for the acoustic field.
- The method utilizes pressure field data sampled on a surrounding cylindrical surface.
- The formulation is numerically tested for accuracy and robustness, including performance with added noise.
Main Results:
- The proposed method accurately computes the acoustic field in both near and far regions.
- It requires only pressure field measurements, eliminating the need for velocity or gradient data.
- Numerical simulations demonstrate excellent performance, outperforming traditional far-field extrapolation methods, even with noise.
Conclusions:
- The presented method offers a significant advancement in acoustic field computation for tonal circular sources.
- It provides a robust, efficient, and accurate approach using minimal, easily obtainable data.
- This technique has strong potential for applications in rotorcraft, propeller noise analysis, and other aeroacoustic studies.
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