Volume 18, Issue 5 (2018)                   Modares Mechanical Engineering 2018, 18(5): 13-23 | Back to browse issues page

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Fazli M, Raisee Dehkordi M. Computation of flow and heat transfer over dimpled channels using low-Reynolds number turbulence models. Modares Mechanical Engineering. 2018; 18 (5) :13-23
URL: http://journals.modares.ac.ir/article-15-16355-en.html
1- School of Mechanical Engineering, College of Engineering, University of Tehran, Tehran, Iran
2- University of Tehran
Abstract:   (823 Views)
In this paper, the performance of three turbulence models, zonal k-ε, linear low-Reynolds k-ε and nonlinear low-Reynolds k-ε in the prediction of flow and heat transfer through a dimpled channel is investigated. Furthermore, the effect of YAP term replacement with NYP length scale correction term is studied. Dimples are heat transfer devices which are employed in gas turbine blades to increase the heat transfer levels. These devices do not act as an obstacle for flow, and thus they produce low pressure losses. In this study, the governing equations on flow and energy are solved using the finite volume method together with the SIMPLE algorithm. The results obtained with YAP term indicate that the nonlinear model predicts larger recirculation flow inside the dimple than zonal and linear models. Also, the intensity of impingement and upwash flow in this model is greater than other models. Heat transfer results show that the zonal model predicts the heat transfer levels lower than experimental measurement. Using the linear model leads to a better prediction of heat transfer inside the dimples and their back rim. Compared to these models, the nonlinear model yields a better prediction not only for the smooth area between the dimples, but in the back rim of the dimple. The replacement of the YAP term with the NYP term in linear and nonlinear models leads to more accurate results for heat transfer in dimple span-wise direction and back rim.
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Article Type: Research Article |
Received: 2018/01/31 | Accepted: 2018/03/10 | Published: 2018/09/24

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