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Eastern-European Journal of Enterprise Technologies
Article . 2017 . Peer-reviewed
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Numerical study of flow in the stage of an axial compressor with different topology of computational grid

Authors: Tereshchenko, Yuriy; Doroshenko, Ekaterina; Lastivka, Ivan; Tereshchenko, Yuriy;

Numerical study of flow in the stage of an axial compressor with different topology of computational grid

Abstract

We conducted a series of calculations with the models of turbulent viscosity k–e, SST and three variants of three-dimensional unstructured computational grids. For each variant of the computational grid we calculated each of the two models of turbulent viscosity at axial velocity at input from 110 to 150 m/s. Comparison of results of numerical experiments with data of the physical experimental studies revealed that an error of the computational research is 0.3...8.6 %. Results of the study showed that at the first phase of calculation of the stage of an axial compressor one can recommend using the model of turbulent viscosity k–e and the coarse computational grid. To solve the problems on internal aerodynamics of compressors taking into account the flow in the near-border layer and aerodynamic trail, it is expedient to employ the model of turbulent viscosity SST and the fine adaptive grid.

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Keywords

моделювання течії; розрахункова сітка; модель турбулентної в’язкості; ступінь компресора; примежевий шар, UDC 629.735.03:621.43.031.3(045), моделирование течения; расчетная сетка; модель турбулентной вязкости; ступень компрессора; пограничный слой, simulation of flow; computational grid; model of turbulent viscosity; stage of compressor; near-border layer

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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