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contributor authorLing, Julia
contributor authorElkins, Christopher J.
contributor authorEaton, John K.
date accessioned2017-05-09T01:18:02Z
date available2017-05-09T01:18:02Z
date issued2015
identifier issn1528-8919
identifier othergtp_137_07_072605.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/157998
description abstractIt has been previously demonstrated that Reynoldsaveraged Navier–Stokes (RANS) simulations do not accurately capture the mixing between the coolant flow and the main flow in trailing edge slot film cooling configurations. Most RANS simulations use a fixed turbulent Schmidt number of either 0.7 or 0.85 to determine the turbulent scalar flux, based on the values for canonical flows. This paper explores the extent to which RANS predictions can be improved by modifying the value of the turbulent Schmidt number. Experimental mean 3D velocity and coolant concentration data obtained using magnetic resonance imaging techniques are used to evaluate the accuracy of RANS simulations. A range of turbulent Schmidt numbers from 0.05 to 1.05 is evaluated and the optimal turbulent Schmidt number for each case is determined using an integral error metric which accounts for the difference between RANS and experiment throughout a threedimensional region of interest (ROI). The resulting concentration distribution is compared in detail with the experimentally measured coolant concentration distribution to reveal where the fixed turbulent Schmidt number assumption fails. It is shown that the commonly used turbulent Schmidt number of 0.85 overpredicts the surface effectiveness in all cases, particularly when the komega shear stress transport (SST) model is employed, and that a lower value of the turbulent Schmidt number can improve predictions.
publisherThe American Society of Mechanical Engineers (ASME)
titleOptimal Turbulent Schmidt Number for RANS Modeling of Trailing Edge Slot Film Cooling
typeJournal Paper
journal volume137
journal issue7
journal titleJournal of Engineering for Gas Turbines and Power
identifier doi10.1115/1.4029206
journal fristpage72605
journal lastpage72605
identifier eissn0742-4795
treeJournal of Engineering for Gas Turbines and Power:;2015:;volume( 137 ):;issue: 007
contenttypeFulltext


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