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ARTICLE

NUMERICAL SIMULATION OF TURBULENT FLOW IN A RECTANGULAR CHANNEL WITH PERIODICALLY MOUNTED LONGITUDINAL VORTEX GENERATORS

Pankaj Saha^a, Gautam Biswas^a,b,*

a Department of Mechanical Engineering, Indian Institute of Technology, Kanpur, U.P, 208016, India
b Central Mechanical Engineering Research Institute (CSIR) Durgapur, Durgapur, W.B, 713209, India

* Corresponding Author: Email:

Frontiers in Heat and Mass Transfer 2011, 2(3), 1-5. https://doi.org/10.5098/hmt.v2.3.3008

Abstract

Detailed flow structure in turbulent flows through a rectangular channel containing built-in winglet type vortex generators have been analyzed by means of solutions of the full Navier-Stokes equations using a Large-Eddy Simulation (LES) technique. The Reynolds number of investigation is 6000. The geometry of interest consists of a rectangular channel with a built-in winglet pair on the bottom wall with common-flow-down arrangement. The winglet pair induces streamwise longitudinal vortices behind it. The vortices swirl the flow around the axis parallel to the mainstream direction and disrupt the growth of thermal boundary layer entailing enhancement of heat transfer. The influence of the longitudinal vortices persist far downstream of the location of the winglet-pair. Since the structure of the turbulence is strongly affected by the streamline curvature, the flow of interest, despite the simplicity of its geometry, turns out to be extremely complex. Therefore it calls for more accurate calculation of the turbulent quantities. In the present study, flow structures are studied by using time-averaged quantities, such as the iso-contours of velocity components, vortices and turbulent stresses. The simulation shows that the secondary flow is stronger in the regions where the longitudinal vortices are more active. The wake like structures of streamwise velocity occurs due to strong distortion of the boundary layer by vortices. The spanwise distributions of turbulent kinetic energy and Reynolds stress show the evidence of strong secondary flow. The computational results compare well with the experimental data qualitatively.

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