TY - JOUR

T1 - Improved Turbulence Prediction in Turbomachinery Flows and the Effect on Three-Dimensional Boundary Layer Transition

AU - Bode, Christoph

AU - Friedrichs, Jens

AU - Frieling, Dominik

AU - Herbst, Florian

N1 - Funding Information: Funding: Financial support from the German Federal Ministry of Economic Affairs and Energy is gratefully acknowledged for funding of the ECOFLEX-Turbo project (Grant: 03ET7091X). The project is also part of the research alliance MOBILISE, which is a cooperation between University of Braunschweig and Leibniz University of Hannover.

PY - 2018/7/2

Y1 - 2018/7/2

N2 - For the numerical prediction of turbomachinery flows, a two-equation turbulence model in combination with a proper transition model to account for laminar boundary layers and their transition to turbulence is state of the art. This paper presents the ability of such a method (k-w + g-ReQ) for turbulence prediction and the effect on three-dimensional boundary layer behavior. For this purpose, both applied models (turbulence and transition) are improved to better account for turbulence length scale effects and three-dimensional transition prediction (Bode et al., 2014 and 2016), since these are the main deficiencies in predicting such kinds of flows. The improved numerical method is validated and tested on existing turbine cascades with detailed experimental data for the viscous regions and additionally on a low-speed axial compressor rig where wake-induced transition takes place.

AB - For the numerical prediction of turbomachinery flows, a two-equation turbulence model in combination with a proper transition model to account for laminar boundary layers and their transition to turbulence is state of the art. This paper presents the ability of such a method (k-w + g-ReQ) for turbulence prediction and the effect on three-dimensional boundary layer behavior. For this purpose, both applied models (turbulence and transition) are improved to better account for turbulence length scale effects and three-dimensional transition prediction (Bode et al., 2014 and 2016), since these are the main deficiencies in predicting such kinds of flows. The improved numerical method is validated and tested on existing turbine cascades with detailed experimental data for the viscous regions and additionally on a low-speed axial compressor rig where wake-induced transition takes place.

KW - Boundary layer transition

KW - Computational fluid dynamics

KW - Turbulence and transition modeling

UR - http://www.scopus.com/inward/record.url?scp=85063492867&partnerID=8YFLogxK

U2 - 10.3390/ijtpp3030018

DO - 10.3390/ijtpp3030018

M3 - Article

AN - SCOPUS:85063492867

VL - 3

JO - International Journal of Turbomachinery, Propulsion and Power

JF - International Journal of Turbomachinery, Propulsion and Power

IS - 3

M1 - ijtpp3030018

ER -