Numerical Study of Stage Roughness Variations in a High Pressure Compressor

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Hendrik Seehausen
  • Philipp Gilge
  • Andreas Kellersmann
  • Jens Friedrichs
  • Florian Herbst

External Research Organisations

  • Technische Universität Braunschweig
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Details

Original languageEnglish
Pages (from-to)16-25
Number of pages10
JournalInternational Journal of Gas Turbine, Propulsion and Power Systems
Volume11
Issue number3
Publication statusPublished - Jun 2020
EventInternational Gas Turbine Congress (IGTC) 2019 - Toranomon Hills Forum, Tokyo, Japan
Duration: 17 Nov 201922 Nov 2019

Abstract

The objective of this study is to quantify the sensitivity of blade roughness on the overall performance of a 10-stage high-pressure compressor of the jet engine type V2500-A1. The Reynolds-Aver-aged Navier-Stokes flow solver TRACE is used to study the multi-stage compressor. The three-dimensional numerical setup contains all geometric and aerodynamic features such as bleed ports and the variable stator vanes system. In order to estimate the effect of stage roughness on overall compressor performance, compressor maps of the CFD-model are created by modeling the surface rough- ness sep-arately for a single stage and combinations of stages. The surface roughness values are applied to the blade's suction side of the first, center and last stage in the CFD-model by setting an equivalent sand-grain value. This equivalent sand-grain roughness is deter-mined from non-intrusive measurements of blade surfaces from an equivalent real aircraft engine for the first, center and last stage. In addition, further simulations are conducted to analyze the perfor-mance drop of a fully rough HPC due to surface roughness. The studies are performed at the operating conditions 'cruise' and 'take-off' to cover two different Reynolds number regimes. The re-sults show that the models with roughness in a single stage already lead to significantly lower mass flow rates because of higher block-age compared to the smooth compressor. In fact, roughness at the first stage has the biggest effect on the overall performance with a drop in performance of about 0.1% while the effect of the last stage is the smallest. This behavior is mainly caused by enhanced insta-bilities through the compressor changing the stage-by-stage match-ing of the stages downstream. In addition to the displacement of the compressor maps to a lower mass flow, a reduction of stall and choke margins is noticeable.

ASJC Scopus subject areas

Cite this

Numerical Study of Stage Roughness Variations in a High Pressure Compressor. / Seehausen, Hendrik; Gilge, Philipp; Kellersmann, Andreas et al.
In: International Journal of Gas Turbine, Propulsion and Power Systems, Vol. 11, No. 3, 06.2020, p. 16-25.

Research output: Contribution to journalArticleResearchpeer review

Seehausen, H, Gilge, P, Kellersmann, A, Friedrichs, J & Herbst, F 2020, 'Numerical Study of Stage Roughness Variations in a High Pressure Compressor', International Journal of Gas Turbine, Propulsion and Power Systems, vol. 11, no. 3, pp. 16-25. https://doi.org/10.38036/jgpp.11.3_16
Seehausen, H., Gilge, P., Kellersmann, A., Friedrichs, J., & Herbst, F. (2020). Numerical Study of Stage Roughness Variations in a High Pressure Compressor. International Journal of Gas Turbine, Propulsion and Power Systems, 11(3), 16-25. https://doi.org/10.38036/jgpp.11.3_16
Seehausen H, Gilge P, Kellersmann A, Friedrichs J, Herbst F. Numerical Study of Stage Roughness Variations in a High Pressure Compressor. International Journal of Gas Turbine, Propulsion and Power Systems. 2020 Jun;11(3):16-25. doi: 10.38036/jgpp.11.3_16
Seehausen, Hendrik ; Gilge, Philipp ; Kellersmann, Andreas et al. / Numerical Study of Stage Roughness Variations in a High Pressure Compressor. In: International Journal of Gas Turbine, Propulsion and Power Systems. 2020 ; Vol. 11, No. 3. pp. 16-25.
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title = "Numerical Study of Stage Roughness Variations in a High Pressure Compressor",
abstract = "The objective of this study is to quantify the sensitivity of blade roughness on the overall performance of a 10-stage high-pressure compressor of the jet engine type V2500-A1. The Reynolds-Aver-aged Navier-Stokes flow solver TRACE is used to study the multi-stage compressor. The three-dimensional numerical setup contains all geometric and aerodynamic features such as bleed ports and the variable stator vanes system. In order to estimate the effect of stage roughness on overall compressor performance, compressor maps of the CFD-model are created by modeling the surface rough- ness sep-arately for a single stage and combinations of stages. The surface roughness values are applied to the blade's suction side of the first, center and last stage in the CFD-model by setting an equivalent sand-grain value. This equivalent sand-grain roughness is deter-mined from non-intrusive measurements of blade surfaces from an equivalent real aircraft engine for the first, center and last stage. In addition, further simulations are conducted to analyze the perfor-mance drop of a fully rough HPC due to surface roughness. The studies are performed at the operating conditions 'cruise' and 'take-off' to cover two different Reynolds number regimes. The re-sults show that the models with roughness in a single stage already lead to significantly lower mass flow rates because of higher block-age compared to the smooth compressor. In fact, roughness at the first stage has the biggest effect on the overall performance with a drop in performance of about 0.1% while the effect of the last stage is the smallest. This behavior is mainly caused by enhanced insta-bilities through the compressor changing the stage-by-stage match-ing of the stages downstream. In addition to the displacement of the compressor maps to a lower mass flow, a reduction of stall and choke margins is noticeable. ",
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AU - Seehausen, Hendrik

AU - Gilge, Philipp

AU - Kellersmann, Andreas

AU - Friedrichs, Jens

AU - Herbst, Florian

N1 - Funding Information: The present work has been carried out in the subproject B3 within the Collaborative Research Center (CRC) 871 "Regenera-tion of Complex Capital Goods" which is funded by the DFG (Deutsche Forschungsgemeinschaft) under grant SFB 871. The au-thors would like to thank the DFG for the support. Moreover, the authors would like to acknowledge the substantial contribution of the DLR Institute of Propulsion Technology and MTU Aero En-gines AG for providing TRACE. The results presented here were partially carried out on the cluster system at the Leibniz University IT Service (LUIS). Thus, the authors acknowledge the support of the cluster system team in the production of this work.

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