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Influence of Axial Compressor Model Simplification and Mesh Density on Surge Margin Evaluation

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Języki publikacji
EN
Abstrakty
EN
The menace of surge occurrence in the compressors is taken very seriously and its avoidance became a fundamental for the design of any modern jet engines. Nowadays, a problem with appropriate evaluation of the compressor surge margin while considering different simplifications of three-dimensional CFD model is still present. For that purpose, this article presents a comparison between the measurement data and several variants of 3D CFD models characterized by a specific mesh density. To calculate all the results on which the comparisons and conclusions are based, an 8-stage axial compressor is taken into account. Flow conditions of the machine are computed for three part load speeds: The low, the mid and the high one respecting the variable guide vanes schedule fitted to the specific load. For each of speed variants a four mesh configurations were generated: coarse, medium, fine and extra-fine. All speed configurations were treated with two different turbulence models – Wilcox k-ω and Menter’s SST k-ω, giving ultimately 15 CFD models, calculated with the TRACE solver using an initialization based on a circumferentially averaged flow solution delivered by the Streamline Curvature Method. During the study an additional assessment of reference grid independence was performed and the mesh convergence has been achieved. A comparison between turbulence models and the measurement proves that SST turbulence model is not well distributed through the speeds in compare to the measurement data and the Wilcox turbulence model. Inconsistency of sensitivity in the mesh coarsening for different rotational speeds was found. Increasing the mesh roughness level has to be executed for each speed separately. Overall compressor map shows that shift of the Pressure Ratio and the Mass Flow decreases with lower rotational speed. Neglecting the system add-ons like labyrinth sealing volumes, bleed-ports and other leakages has a visible influence on deviations from the measurements. Because of intended future use in design and optimization the “Medium” grid with Wilcox k-ω turbulence model was chosen, being a good representation of the Rig characteristics with reduction of the computing time.
Twórcy
  • Doctoral School of Engineering and Technical Sciences, Rzeszow University of Technology, al. Powstańców Warszawy 12, 35-959 Rzeszów, Poland
  • MTU Aero Engines Polska Sp. z o.o., Tajęcina 108, 36-002 Jasionka, Poland
  • MTU Aero Engines Polska Sp. z o.o., Tajęcina 108, 36-002 Jasionka, Poland
  • Doctoral School of Engineering and Technical Sciences, Rzeszow University of Technology, al. Powstańców Warszawy 12, 35-959 Rzeszów, Poland
Bibliografia
  • 1. Cumpsty N.A. Compressor aerodynamics. Longman Scientific & Technical; 1989.
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  • 3. Yang M., Zheng X., Zhang Y., Bamba T., Tamaki H., Huenteler J., Li Z. Stability Improvement of High-Pressure-Ratio Turbocharger Centrifugal by Asymmetric Flow ControlPart I: NonAxisymmetrical Flow in Centrifugal Compressor. Journal of Turbomachinery. 2013; 135.
  • 4. Möller D., Schiffer H.P. On the Mechanism of Spike Stall Inception and near Stall non-synchronous vibration in an Axial Compressor. In: ASME Turbo Expo 2020: Turbomachinery Technical Conference in Exposition. London, United Kingdom 2020.
  • 5. Day I.J. Stall, Surge and 75 Years of Research. Journal of Turbomachinery. January 2016; 138. dissertation carried out under polish industrial doctorate program.
  • 6. Righi M., Pachidis V., Könöszy L., Pawsey L. Three-dimensional through-flow modeling of axial flow compressor rotating stall and surge. Aerospace Science and Technology. 2018; 78: 271–279.
  • 7. Erler E., Vo H.D., Yu H. Desensitization of Axial Compressor Performance and Stability to Tip Clearance Size. Journal of Turbomachinery. 2016; 138.
  • 8. Goodhand M.N., Miller R.J. The Impact of Real Geometrics on Three-Dimensional Separations in Compressors. Journal of Turbomachinery. March 2012; 134(2).
  • 9. Salunke N.P. Design Opitimization of an Axial Flow Compressor for Industrial Gas Turbine. International Journal of Research in Engineering and Technology. May 2014; 3(5): 458–464.
  • 10. Zheng R., Xiang J.H., Sun J. Blade Geometry Optimization for Axial Flow Compressor. In: ASME Turbo Expo 2010: Power for Land, Sea and Air. Glasgow, United Kingdom 2010; 633–644.
  • 11. Ratz J., Leichtuß S., Beck M., Schiffer H.P., Fröchling F. Surge Margin Optimization of Centrifugal Compressor Using a New Objective Function Based on Local Flow Parameters. International Journal of Turbomachinery Propulsion and Power. 2020; 4: 42.
  • 12. Jin-Hyuk K., Kwang-Jin C., Kwang-Yong K. Aerodynamics analysis and optimization of a transonic axial compressor with casing grooves to improve operating stability. Aerospace Science and Technology. 2013; 29; 81–91.
  • 13. Belami T., Galpin P., Braune A., Cornelius C. CFD Analysis of a 15 Stage Axial Compressor: Part IMethods. In: ASME Turbo Expo 2005: Power for Land, Sea and Air. Reno, Nevada, United States of America 2005, 1001–1008.
  • 14. Cornelius C., Biesinger T., Galpin P., Braune A. Experimental of Computational Analysis of a Multistage Axial Compressor Including Stall Prediction by Steady and Transient CFD Methods. Journal of Turbomachinery. 2013; 136(6).
  • 15. Wilcox D.C. Turbulence Modeling for CFD. DCW Industries, Inc., 1993.
  • 16. Menter F.R., Kuntz M., Langry R. Ten Years of Industrial Experience with the SSt Turbulence Model. Turbulence, Heat and Mass Transfer 4, ed: Hanjalic K., Nagano Y., Tummers M. Neell House, Inc., 2003; 625–632.
  • 17. Novak R.A. Streamline Curvature Computing Procedures for Fluid-Flow Problems. ASME. J. Eng. Power. 1967; 89(4): 478–490.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-2a12cd86-13d4-4349-8d41-abd9acef4868
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