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Development of a Numerical Based Correlation for Performance Losses due to Surface Roughness in Axial Turbines

Published online by Cambridge University Press:  13 March 2014

S. A. Moshizi ,
M. H. Nakhaei ,
M. J. Kermani  and
A. Madadi
S. A. Moshizi*
Affiliation:
Department of Mechanical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran, 15875-4413
M. H. Nakhaei
Affiliation:
Department of Mechanical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran, 15875-4413
M. J. Kermani
Affiliation:
Department of Mechanical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran, 15875-4413
A. Madadi
Affiliation:
Department of Mechanical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran, 15875-4413
*
*[email protected]
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Abstract

In the present work, a recently developed in-house 2D CFD code is used to study the effect of gas turbine stator blade roughness on various performance parameters of a two-dimensional blade cascade. The 2D CFD model is based on a high resolution flux difference splitting scheme of Roe (1981). The Reynolds Averaged Navier-Stokes (RANS) equations are closed using the zero-equation turbulence model of Baldwin-Lomax (1978) and two-equation Shear Stress Transport (SST) turbulence model. For the smooth blade, results are compared with experimental data to validate the model. Finally, a correlation between roughness Reynolds number and loss coefficient for both turbulence models is presented and tested for three other roughness heights. The results of 2D turbine blade cascades can be used for one-dimensional models such as mean line analysis or quasi-three-dimensional models e.g. streamline curvature method.

Keywords

Surface roughnessGas turbine cascadeRoe schemeShear stress transportBaldwin-Lomax model
Type
Research Article
Information
Journal of Mechanics , Volume 30 , Issue 6 , December 2014 , pp. 631 - 642
Copyright
Copyright © The Society of Theoretical and Applied Mechanics, R.O.C. 2014 

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