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Pressure loss modeling of non-symmetric gas turbine exhaust ducts using CFD


Pressure loss modeling of non-symmetric gas turbine exhaust ducts using CFD

Farber, Steven (2008) Pressure loss modeling of non-symmetric gas turbine exhaust ducts using CFD. Masters thesis, Concordia University.

Text (application/pdf)
MR40910.pdf - Accepted Version


In typical gas turbine applications, combustion gases that are discharged from the turbine are exhausted into the atmosphere in a direction that is sometimes different from that of the inlet. In such cases, the design of efficient exhaust ducts is a challenging task particularly when the exhaust gases are also swirling. Designers are in need for a tool today that can guide them in assessing qualitatively and quantitatively the different flow physics in these exhaust ducts so as to produce efficient designs. In this thesis, a parametric Computational Fluid Dynamics (CFD) based study was carried out on non-symmetric gas turbine exhaust ducts where the effects of geometry and inlet aerodynamic conditions were examined. The results of the numerical analysis were used to develop a total pressure loss model. These exhaust ducts comprise an annular inlet, a flow splitter, an annular to rectangular transition region, and an exhaust stub. The duct geometry, which is a three-dimensional complex one, is approximated with a five-parameter model, which was coupled with a design of experiment method to generate a relatively small number of exhaust ducts. The flow in these ducts was simulated using CFD for different values of inlet swirl and aerodynamic blockage and the numerical results were reviewed so as to assess the effects of the geometric and aerodynamic parameters on the total pressure loss in the exhaust duct. These flow simulations were used as a data base to generate a total pressure loss model that designers can use as a tool to build more efficient non-symmetric gas turbine exhaust ducts. The resulting correlation has demonstrated satisfactory agreement with the CFD-based data

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Mechanical and Industrial Engineering
Item Type:Thesis (Masters)
Authors:Farber, Steven
Pagination:xiv, 116 leaves : ill. ; 29 cm.
Institution:Concordia University
Degree Name:M.A. Sc.
Program:Mechanical and Industrial Engineering
Thesis Supervisor(s):Ghaly, Wahid
ID Code:975654
Deposited By: Concordia University Library
Deposited On:22 Jan 2013 16:12
Last Modified:18 Jan 2018 17:40
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