On the development and application of the fast-response aerodynamic probe system in turbomachines - Part 3: Comparison of averaging methods applied to centrifugal compressor measurements

Citation
P. Koppel et al., On the development and application of the fast-response aerodynamic probe system in turbomachines - Part 3: Comparison of averaging methods applied to centrifugal compressor measurements, J TURBOMACH, 122(3), 2000, pp. 527-535
Citations number
23
Categorie Soggetti
Mechanical Engineering
Journal title
JOURNAL OF TURBOMACHINERY-TRANSACTIONS OF THE ASME
ISSN journal
0889504X → ACNP
Volume
122
Issue
3
Year of publication
2000
Pages
527 - 535
Database
ISI
SICI code
0889-504X(200007)122:3<527:OTDAAO>2.0.ZU;2-9
Abstract
Typically several hundred million data points arise from a comprehensive me asurement campaign carried out in a centrifugal compressor test rig with th e fast-response aerodynamic probe system (see Part 1). In order to obtain a maximum of information about the unsteady flow at any position in this tur bomachine, the time-resolved data processing method has to be optimized. In contrast to the standard time-averaged flow measurements with pneumatic pr obes, the objective of fast-response aerodynamic probe measurements and of data processing is to extract novel information about crucial unsteady phen omena like turbulence, row-to-sow interaction, modal or rotating stall, lea kage flow effects, etc. In such cases, the simultaneous measurement of stat ic and total pressures and flow vectors is of particular interest. Novel in formation means the analysis of averaged and time-resolved (wavelet) spectr a, autocorrelations or time averages properly conserving physical fluxes, e tc. Different averaging methods are applied to compress the time-dependent data measured by a one-sensor-probe (see Part 2) in a centrifugal compresso r. Such results could be used for comparison with pneumatic sensor measurem ents and CFD calculations. The comparison of averaging methods includes the averaging theories by Traupel and by Dzung, which are compared to simple a rithmetic time averaging. From there the specific stage work is calculated In analyzing the time dependency, several ensemble-averaging procedures for flow pressure and velocity are utilized for separating deterministic from stochastic fluctuations, extracting blade row finger prints or investigatin g low-frequency surge type fluctuations. With respect to the selection and overall optimization of data processing methods, an overview of generic too ls is given and the modularity of the processing procedures is discussed. [ S0889-504X(00)01203-4].