Topical Problems of Fluid Mechanics


Institute of Thermomechanics AS CR, v.v.i.	CTU in Prague Faculty of Mech. Engineering Dept. Tech. Mathematics	MIO Université du Sud Toulon Var - AMU - CNRS - IRD	Czech Pilot centre ERCOFTAC

Data Reduction Methods in Turbomachinery Linear Blade Cascade Experiment
Kreuzová T., Šafařík P., Šimurda D., Luxa M., Škach R.:
Abstract:
The work explores data reduction methods used in turbomachinery linear blade cascade experiment, such as area and mass averaging and Two-Dimensional Momentum Method, and their properties. Definitions of the most common methods are listed and the methods are tested on data sets acquired experimentally and also numerically. Differences in important characteristics of the blade cascade, such as kinetic energy loss coefficient, total pressure loss coefficient, or outlet angle, obtained by different methods are reported together with the change of conservative fluxes caused by reduction of the data. Information on the data reduction methods used by selected European research groups is provided.
Keywords:
data reduction method, turbomachinery, cascade

Fulltext: PDF DOI: https://doi.org/10.14311/TPFM.2025.020

In Proceedings Topical Problems of Fluid Mechanics 2025, Prague, 2025, Edited by David Šimurda and Tomáš Bodnár, pp. 151 ISBN 978-80-87012-05-5 (Print) ISSN 2336-5781 (Print)