Dissertation/Thesis Abstract

An Unstructured Grid Incompressible Navier-Stokes Algorithm for Convective Heat Transfer Based on Artificial Compressibility
by Kress, Jessica Elaine, M.S.E., The University of Tennessee at Chattanooga, 2012, 82; 1531892
Abstract (Summary)

The development of an explicit unstructured grid finite-volume scheme for solving the full incompressible Navier-Stokes equations along with the energy equation in a strongly coupled manner is presented. The Boussinesq approximation is utilized to account for thermal buoyancy. The method of artificial compressibility is used to solve the resulting equations in a time marching fashion. Roe's approximate Riemann solver is used for the construction of the numerical flux. An eigensystem is derived for the flux Jacobian matrix, which is used in the evaluation of the numerical flux and the characteristic variable boundary conditions. The resulting algorithm is validated by simulating canonical test cases from the three regimes of convective heat transfer. The computed solutions are in close agreement with analytical solutions and other benchmark computations.

Indexing (document details)
Advisor: Taylor, Lafayette
Commitee: Hyams, Daniel, Swafford, Timothy
School: The University of Tennessee at Chattanooga
Department: Computational Engineering
School Location: United States -- Tennessee
Source: MAI 51/04M(E), Masters Abstracts International
Subjects: Mechanical engineering
Keywords: Artificial compressibility, Computational, Fluid, Heat transfer, Navier-Stokes, Unstructured
Publication Number: 1531892
ISBN: 978-1-267-85629-6
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