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Published on: February 3, 2014
Flow noise from spoilers in ducts
Cheuk Ming Mak1, Jia Wu, Chao Ye
1Department of Building Services Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China. becmmak@polyu.edu.hk
This study measured flow noise from ventilation system spoilers, finding results consistent with prior research. Predicting noise from multiple spoilers requires drag force ratios, phase relationships, and coherence functions for accurate modeling.
Area of Science:
- Acoustics
- Fluid Dynamics
- Mechanical Engineering
Background:
- Strip spoilers in ventilation systems can generate significant flow noise.
- Understanding and predicting this noise is crucial for designing quieter HVAC systems.
- Previous research by Nelson and Morfey (1981) established foundational work in this area.
Purpose of the Study:
- To measure flow noise radiated from strip spoilers in a ventilation system's air duct.
- To validate existing models and identify parameters necessary for predicting noise from multiple spoilers.
- To empirically derive the coherence function of noise sources for improved prediction accuracy.
Main Methods:
- Experimental measurements of flow noise were conducted using strip spoilers in an air duct.
- Noise was radiated from an open exhaust termination unit into a reverberation chamber.
- Data analysis involved comparing experimental results with predictions based on drag forces, phase relationships, and coherence functions.
Main Results:
- Measured flow noise data align well with previous findings by Nelson and Morfey.
- The empirical derivation of the coherence function was key to accurate noise prediction.
- Predicted noise levels generally agreed with experimental results within 3 dB across most frequencies.
Conclusions:
- The study confirms the validity of existing models for flow noise prediction from spoilers.
- Accurate prediction of multi-spoiler noise necessitates precise values for drag force ratios, phase relationships, and coherence functions.
- The derived coherence function improves the accuracy of flow noise predictions, particularly at lower to mid-range frequencies.
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