Open Access. Powered by Scholars. Published by Universities.®

Digital Commons Network

Open Access. Powered by Scholars. Published by Universities.®

Iowa State University

Paul A. Durbin

Heat transfer

Publication Year

Articles 1 - 3 of 3

Full-Text Articles in Entire DC Network

Unsteady Effects On Trailing Edge Cooling, G. Medic, Paul A. Durbin Apr 2005

Unsteady Effects On Trailing Edge Cooling, G. Medic, Paul A. Durbin

Paul A. Durbin

It is shown how natural and forced unsteadiness play a major role in turbine blade trailing edge cooling flows. Reynolds averaged simulations are presented for a surface jet in coflow, resembling the geometry of the pressure side breakout on a turbine blade. Steady computations show very effective cooling; however when natural-or even moreso, forced-unsteadiness is allowed, the adiabatic effectiveness decreases substantially. Streamwise vortices in the mean flow are found to be the cause of the increased heat transfer.


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.