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Evaluation of Turbulence Models for Predicting Entropy Generation in Bypass-Transitional Boundary Layers

Citation

George, Joseph. (2015). Evaluation of Turbulence Models for Predicting Entropy Generation in Bypass-Transitional Boundary Layers. Theses and Dissertations Collection, University of Idaho Library Digital Collections. https://www.lib.uidaho.edu/digital/etd/items/george_idaho_0089n_10685.html

Title:
Evaluation of Turbulence Models for Predicting Entropy Generation in Bypass-Transitional Boundary Layers
Author:
George, Joseph
Date:
2015
Keywords:
bypass transition entropy generation Large Eddy Simulations pressure gradient transitional boundary layer turbulence models
Program:
Mechanical Engineering
Subject Category:
Mechanical engineering
Abstract:

The primary objective of this study is to evaluate the accuracy of using turbulence models to predict entropy generation rates in bypass transitional flows under various pressure gradients in a spatially growing boundary layers over a flat plate. Entropy generation rates in such flows are evaluated using CFD methods. Various turbulence models are assessed by comparing results with DNS data and two recent CFD studies. 3D bypass transition simulations are also performed using LES and IDDES models. Results show better agreement with DNS than any previous RANS studies. The k-ω 4eqn. transition model shows closest agreement to DNS data for 2D flow. The SGS models are highly dissipative and LES will require much finer grid within boundary layer region and freestream. These models fail to predict bypass-transition accurately due to lack accurate unsteady fluctuations and grid resolution. Certain limitations and issues are identified and recommendation are made for future studies.

Description:
masters, M.S., Mechanical Engineering -- University of Idaho - College of Graduate Studies, 2015
Major Professor:
Xing, Tao
Committee:
Crepeau, John; Budwig, Ralph
Defense Date:
2015
Identifier:
George_idaho_0089N_10685
Type:
Text
Format Original:
PDF
Format:
application/pdf

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