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.
CITATION STYLE
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_8
Mendeley helps you to discover research relevant for your work.