Probabilistic CFD simulation of a high-pressure compressor stage taking manufacturing variability into account
Alexander Lange, Matthias Voigt, Konrad Vogeler, Henner Schrapp, Erik Johann, Volker Gümmer
The present paper addresses a non-deterministic CFD simulation of a high-pressure compressor (HPC) stage. The investigation focuses on the determination of the influence of the manufacturing scatter of manufactured compressor blades on the aerodynamic performance of the analyzed HPC stage.
A set of 150 blades was scanned using an optical 3D digitizer to obtain a three-dimensional point cloud representing the surface of the blades. Classical profile parameters were identified on several sections of constant spanwise coordinate. The radial stacking of these parameters forms a parameter vector that constructs the airfoil model of each scanned blade. Consequently these parameters were used to express the geometric variability of the entire measured blade set. A statistical analysis of the distribution of these parameters defines the input data of the probabilistic 3D CFD simulation. The Monte-Carlo method is used to identify the scatter of the performance values of the HPC stage and their sensitivity to the noisy profile parameters.
Alexander Lange, Matthias Voigt, Konrad Vogeler, Henner Schrapp, Erik Johann, Volker Gümmer
"Probabilistic CFD simulation of a high-pressure compressor stage taking manufacturing variability into account"
ASME Turbo Expo, GT2010-22484, Glasgow, 2010. (to be published)