In the present paper, direct numerical simulation (DNS) data of a low-pressure turbine (LPT) are investigated in light of turbulence modeling. Many compressible turbulence models use Favre-averaged transport equations of the conservative variables and turbulent kinetic energy (TKE) along with other modeling equations. First, a general discussion on the turbulence modeling error propagation prescribed by transport equations is presented, leading to the terms that are considered to be of interest for turbulence model improvement. In order to give turbulence modelers means of validating their models, the terms appearing in the Favre-averaged momentum equations are presented along pitchwise profiles at three axial positions. These three positions have been chosen such that they represent regions with different flow characteristics. General trends indicate that terms related with thermodynamic fluctuations and Favre fluctuations are small and can be neglected for most of the flow field. The largest errors arise close to the trailing edge (TE) region where vortex shedding occurs. Finally, linear models and the scope for their improvement are discussed in terms of a priori testing. Using locally optimized turbulence viscosities, the improvement potential of widely used models is shown. On the other hand, this study also highlights the danger of pure local optimization.
Skip Nav Destination
Article navigation
December 2016
Research-Article
Investigation of the Accuracy of RANS Models to Predict the Flow Through a Low-Pressure Turbine
R. Pichler,
R. Pichler
Department of Mechanical Engineering,
University of Melbourne,
Victoria 3010, Australia
e-mail: richard.pichler@unimelb.edu.au
University of Melbourne,
Victoria 3010, Australia
e-mail: richard.pichler@unimelb.edu.au
Search for other works by this author on:
R. D. Sandberg,
R. D. Sandberg
Department of Mechanical Engineering,
University of Melbourne,
Victoria 3010, Australia
University of Melbourne,
Victoria 3010, Australia
Search for other works by this author on:
V. Michelassi,
V. Michelassi
General Electric,
Florence 50127, Italy
Florence 50127, Italy
Search for other works by this author on:
R. Bhaskaran
R. Bhaskaran
General Electric,
Niskayuna, NY 12309
Niskayuna, NY 12309
Search for other works by this author on:
R. Pichler
Department of Mechanical Engineering,
University of Melbourne,
Victoria 3010, Australia
e-mail: richard.pichler@unimelb.edu.au
University of Melbourne,
Victoria 3010, Australia
e-mail: richard.pichler@unimelb.edu.au
R. D. Sandberg
Department of Mechanical Engineering,
University of Melbourne,
Victoria 3010, Australia
University of Melbourne,
Victoria 3010, Australia
V. Michelassi
General Electric,
Florence 50127, Italy
Florence 50127, Italy
R. Bhaskaran
General Electric,
Niskayuna, NY 12309
Niskayuna, NY 12309
1Corresponding author.
Contributed by the International Gas Turbine Institute (IGTI) of ASME for publication in the JOURNAL OF TURBOMACHINERY. Manuscript received March 28, 2016; final manuscript received April 26, 2016; published online June 22, 2016. Editor: Kenneth C. Hall.
J. Turbomach. Dec 2016, 138(12): 121009 (12 pages)
Published Online: June 22, 2016
Article history
Received:
March 28, 2016
Revised:
April 26, 2016
Citation
Pichler, R., Sandberg, R. D., Michelassi, V., and Bhaskaran, R. (June 22, 2016). "Investigation of the Accuracy of RANS Models to Predict the Flow Through a Low-Pressure Turbine." ASME. J. Turbomach. December 2016; 138(12): 121009. https://doi.org/10.1115/1.4033507
Download citation file:
Get Email Alerts
Related Articles
Calculation of High-Lift Cascades in Low Pressure Turbine Conditions Using a Three-Equation Model
J. Turbomach (July,2011)
A Comparison of Volume of Fluid and Euler–Euler Approaches in Computational Fluid Dynamics Modeling of Two-Phase Flows With a Sharp Interface
J. Turbomach (December,2021)
A DATA DRIVEN METHOD FOR THE DERIVATION OF EXPLICIT ALGEBRAIC REYNOLDS STRESS MODELS APPLIED TO THE WAKE LOSSES OF LOW-PRESSURE TURBINE CASCADES
J. Turbomach (January,0001)
Impingement Heat Transfer: Correlations and Numerical Modeling
J. Heat Transfer (May,2005)
Related Proceedings Papers
Related Chapters
Antilock-Braking System Using Fuzzy Logic
International Conference on Mechanical and Electrical Technology, 3rd, (ICMET-China 2011), Volumes 1–3
Physical Properties in the Persian Gulf
Proceedings of the 2010 International Conference on Mechanical, Industrial, and Manufacturing Technologies (MIMT 2010)
Two Advanced Methods
Applications of Mathematical Heat Transfer and Fluid Flow Models in Engineering and Medicine