The flow field behavior of axial flow turbines is of great importance, especially in
modern designs that may operate at a low Reynolds number. At these low Reynolds
numbers, the efficiency loss is significantly augmented compared to higher Reynolds
number flows. A detailed incompressible numerical study of a single stage axial-flow
turbine at a low Reynolds number is investigated with the use of multiple eddy-viscosity
turbulence models. The study includes epistemic uncertainty quantification as a form of
numerical error estimation. The numerical results show good qualitative and quantitative
agreement with experimental data. It was found that the shear stress transport (SST) k - ω turbulence model with rotation/curvature correction and inclusion of transition modeling
is most capable at predicting the mean velocity distribution, which is further enhanced
when the URANS formulation is employed. However, all the cases indicate a large
variation in the prediction of the root-mean-squared of the turbulent velocity fluctuations. / Includes bibliography. / Thesis (M.S.)--Florida Atlantic University, 2016. / FAU Electronic Theses and Dissertations Collection
Identifer | oai:union.ndltd.org:fau.edu/oai:fau.digital.flvc.org:fau_33445 |
Contributors | Estrada, Nick Dagoberto (author), Moslemian, Davood (Thesis advisor), Florida Atlantic University (Degree grantor), College of Engineering and Computer Science, Department of Ocean and Mechanical Engineering |
Publisher | Florida Atlantic University |
Source Sets | Florida Atlantic University |
Language | English |
Detected Language | English |
Type | Electronic Thesis or Dissertation, Text |
Format | 237 p., application/pdf |
Rights | Copyright © is held by the author, with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder., http://rightsstatements.org/vocab/InC/1.0/ |
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