Numerical Study on Sensitivity of Turbofan Engine Performance to Blade Count of Centrifugal Compressor Impeller

Arkadiusz Bednarz (), Kirill Kabalyk (), Robert Jakubowski and Rafał Bartłomowicz
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Arkadiusz Bednarz: Faculty of Mechanical Engineering and Aeronautics, Rzeszow University of Technology, Ave. Powstanców Warszawy 12, 35-959 Rzeszów, Poland
Kirill Kabalyk: Institute of Turbomachinery, Lodz University of Technology, Wólczańska 217/221, 93-005 Łódz, Poland
Robert Jakubowski: Faculty of Mechanical Engineering and Aeronautics, Rzeszow University of Technology, Ave. Powstanców Warszawy 12, 35-959 Rzeszów, Poland
Rafał Bartłomowicz: Faculty of Mechanical Engineering and Aeronautics, Rzeszow University of Technology, Ave. Powstanców Warszawy 12, 35-959 Rzeszów, Poland

Energies, 2023, vol. 16, issue 14, 1-16

Abstract: The aim of this publication was to investigate the effects the blade count of a high-pressure centrifugal compressor’s impeller has on the performance of the DGEN 380 turbine engine at take-off. The study began with the development of a zero-dimensional thermo-fluid model of the engine. The model was matched with experimental data from the WESTT CS/BV virtual test bench for the baseline count and then implemented to analyse the engine behaviour at alternative counts. The corresponding changes in the compressor pressure ratio and efficiency were modelled in a commercial 3D CFD software and transferred to the zero-dimensional model with proper scaling. The results proved that the baseline design lied in the optimal range of thrust-specific fuel consumption. The increase in the blade count led to a crisis of the aerodynamic loading at the splitters, so that no further rise in the pressure ratio could be achieved. The results of the study could be implemented by mechanical engineers while solving the tasks of the maintenance and modernisation of gas turbines with radial compressors.

Keywords: centrifugal compressor; blade count; multi-fidelity simulation; bypass jet engine; computational fluid mechanics; virtual engine test bench (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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