PG-EAM - Graduate Program in Aeronautical and Mechanical Engineering
PT EN
Article 2017

Heat transfer enhancement via Görtler flow with spatial numerical simulation

Authors

Rogenski, Josuel Kruppa
De Souza, Leandro Franco

International Journal of Numerical Methods for Heat and Fluid Flow , vol. 27 , no. 1 , pp. 189-209

ISSN: 09615539

6
Citations
3
Authors

Abstract

© 2017 Emerald Publishing Limited.Purpose - The centrifugal instability mechanism of boundary layers over concave surfaces is responsible for the development of quasi-periodic, counter-rotating vortices aligned in a streamwise direction known as Görtler vortices. By distorting the boundary layer structure in both the spanwise and the wall-normal directions, Görtler vortices may modify heat transfer rates. The purpose of this study is to conduct spatial numerical simulation experiments based on a vorticity-velocity formulation of the incompressible Navier-Stokes system of equations to quantify the role of the transition in the heat transfer process. Design/methodology/approach - Experiments are conducted using an in-house, parallel, messagepassing code. Compact finite difference approximations and a spectral method are used to approximate spatial derivatives. A fourth-order Runge-Kutta method is adopted for time integration. The Poisson equation is solved using a geometric multigrid method. Findings - Results show that the numerical method can capture the physics of transitional flows over concave geometries. They also show that the heat transfer rates in the late stages of the transition may be greater than those for either laminar or turbulent ones. Originality/value - The numerical method can be considered as a robust alternative to investigate heat transfer properties in transitional boundary layer flows over concave surfaces.

Keywords

Compact finite difference approximations Görtler vortices Heat transfer enhancement Incompressible flow Spatial numerical simulation Spectral method

Mechanics of Materials (ENGI) Mechanical Engineering (ENGI) Computer Science Applications (COMP) Applied Mathematics (MATH)
: Scopus
Last Update: 2026-06-25
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