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Aerospace Engineering Commons

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Full-Text Articles in Aerospace Engineering

A Time-Resolved Method For Nonlinear Acoustic Measurement, Stephen D. Holland May 2002

A Time-Resolved Method For Nonlinear Acoustic Measurement, Stephen D. Holland

Stephen D. Holland

We describe a time-resolved method for measuring nonlinear ultrasonic phenomena. Conventional approaches to the measurement of nonlinear phenomena utilize narrowband measurements of harmonic generation. These measurements are fundamentally narrowband and hence have poor time resolution. In contrast, our method utilizes a series of narrowband bursts that can be combined to form a composite time-resolved broadband impulse. Simultaneous time resolution and harmonic isolation are thereby obtained. The composite impulse can then be used to perform time-resolved measurements of weakly nonlinear phenomena. Such time-resolved measurements have the potential to dramatically improve the capability and performance of nondestructive testing systems that use acoustic …


Toward Improved Film Cooling Prediction, G. Medic, Paul A. Durbin Apr 2002

Toward Improved Film Cooling Prediction, G. Medic, Paul A. Durbin

Paul A. Durbin

Computations of flow and heat transfer for a film-cooled high pressure gas turbine rotor blade geometry are presented with an assessment of several turbulence models. Details of flow and temperature field predictions in the vicinity of cooling holes are examined. It is demonstrated that good predictions can be obtained when spurious turbulence energy production by the turbulence model is prevented.


Toward Improved Prediction Of Heat Transfer On Turbine Blades, G. Medic, Paul A. Durbin Apr 2002

Toward Improved Prediction Of Heat Transfer On Turbine Blades, G. Medic, Paul A. Durbin

Paul A. Durbin

Reynolds averaged computations of turbulent flow in a transonic turbine passage are presented to illustrate a manner in which widely used turbulence models sometimes provide poor heat transfer predictions. It is shown that simple, physically and mathematically based constraints can substantially improve those predictions.