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
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
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].