Type of Document Dissertation Author Betts, Juan Fernando Author's Email Address email@example.com URN etd-08112000-13390026 Title Experiments and Impedance Modeling of Liners Including The Effect of Bias Flow Degree PhD Department Mechanical Engineering Advisory Committee
Advisor Name Title Kelly, J. Committee Chair Fuller, Christopher R. Committee Member Jones, Mark T. Committee Member Parrott, T. Committee Member Saunders, William R. Committee Member Thomas, Russell H. Committee Member Keywords
- Bias Flow
- Perforated Plates
- Acoustic Liners
Date of Defense 2000-07-28 Availability unrestricted AbstractThe study of normal impedance of perforated plate acoustic liners including the effect of bias flow was studied. Two impedance models were developed, by modeling the internal flows of perforate orifices as infinite tubes with the inclusion of end corrections to handle finite length effects. These models assumed incompressible and compressible flows, respectively, between the far field and the perforate orifice.
The incompressible model was used to predict impedance results for perforated plates with percent open areas ranging from 5% to 15%. The predicted resistance results showed better agreement with experiments for the higher percent open area samples. The agreement also tended to deteriorate as bias flow was increased.
For perforated plates with percent open areas ranging from 1% to 5%, the compressible model was used to predict impedance results. The model predictions were closer to the experimental resistance results for the 2% to 3% open area samples. The predictions tended to deteriorate as bias flow was increased.
The reactance results were well predicted by the models for the higher percent open area, but deteriorated as the percent open area was lowered (5%) and bias flow was increased.
A fit was done on the incompressible model to the experimental database. The fit was performed using an optimization routine that found the optimal set of multiplication coefficients to the non-dimensional groups that minimized the least squares slope error between predictions and experiments. The result of the fit indicated that terms not associated with bias flow required a greater degree of correction than the terms associated with the bias flow. This model improved agreement with experiments by nearly 15% for the low percent open area (5%) samples when compared to the unfitted model. The fitted model and the unfitted model performed equally well for the higher percent open area (10% and 15%).
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