Research Papers

Quasi Two-Dimensional Flow-Adaptive Algorithm for Pneumatic Probe Measurements

[+] Author and Article Information
Christian Bartsch

Institute of Jet Propulsion and Turbomachinery,
RWTH Aachen University,
Templergraben 55,
Aachen 52062, Germany
e-mail: christian.bartsch@lhind.dlh.de

Magnus Hölle

Institute of Jet Propulsion and Turbomachinery,
RWTH Aachen University,
Templergraben 55,
Aachen 52062, Germany
e-mail: hoelle@ist.rwth-aachen.de

Peter Jeschke

Institute of Jet Propulsion and Turbomachinery,
RWTH Aachen University,
Templergraben 55,
Aachen 52062, Germany
e-mail: jeschke@ist.rwth-aachen.de

Timo Metzler

MTU Aero Engines AG,
Dachauer Strasse 665,
Munich 80995, Germany
e-mail: timo.metzler@mtu.de

1Corresponding author.

2Present address: Lufthansa Industry Solutions AS GmbH, Norderstedt 22844, Germany.

Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received August 12, 2016; final manuscript received January 3, 2017; published online May 12, 2017. Assoc. Editor: Srinivasa M. Salapaka.

J. Dyn. Sys., Meas., Control 139(7), 071011 (May 12, 2017) (10 pages) Paper No: DS-16-1391; doi: 10.1115/1.4035745 History: Received August 12, 2016; Revised January 03, 2017

The subject of this paper is a flow-adaptive measurement grid algorithm developed for one-dimensional (1D) and two-dimensional (2D) flow field surveys with pneumatic probes in turbomachinery flows. The algorithm automatically determines the distribution and the amount of measurement points needed for an approximation of the pressure distribution within a predefined accuracy. The algorithm is based on transient traverses, conducted back and forth in the circumferential direction. A correction of the dynamic response is applied by deconvolving the transient measurement data using the information embedded in both transient measurements. In consequence, the performance of the algorithm is largely independent of the transient traversing speed and the geometry of the pressure measuring system. Insertion and removal strategies are incorporated in order to reduce measurement points and increase robustness toward differing flow field conditions. The performance of the algorithm is demonstrated for 2D flow field surveys with a pneumatic five-hole probe in an annular cascade wind tunnel. The measurement grid points are automatically adjusted so that a consistent resolution of the flow features is achieved within the measurement domain. Furthermore, the application of the algorithm shows a significant reduction in the number of measurement points. Compared to the measurement duration based on uniform grids, the duration is reduced by at least 7%, while maintaining a high accuracy of the measurement. The purpose of this paper is to demonstrate the performance of measurement grids adapted to local flow field conditions. Consequently, valuable measurement time can be saved without a loss in quality of the data obtained.

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Fig. 1

Flow-adaptive measurement sequence

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Fig. 2

Sequential steps of preprocessing: (a) transient measurement points, (b) deconvolution, and (c) superposition

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Fig. 3

Knot insertion and knot removal

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Fig. 4

Annular cascade wind tunnel test section

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Fig. 5

Pneumatic five-hole probe: (a) probe head and (b) pressure taps and angle convention

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Fig. 6

Influence of traversing speed on λopt

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Fig. 7

Influence of traversing speed on superpositioned measurement data: (a) superpositioned and reference measurement data and (b) normalized differences to reference measurement

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Fig. 8

Normalized curvature of superpositioned and reference measurement data

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Fig. 9

Pressures for reference measurement and superimposed knots of grids which result in an identical measurement duration: (a) excerpt of flow-adaptive measurement grid with 76 knots (no. 1) and (b) excerpt of uniform measurement grid with 90 knots (no. 2)

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Fig. 10

Normalized standard deviations for measurements as a function of traversing time

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Fig. 11

Flow-adaptive measurement point distribution based on radial transient measurements: (a) contour plot of p0 and superimposed grid points and (b) histogram of radial measurement point distribution

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Fig. 12

Total pressure for measurement based on flow-adaptive grid no. 3: (a) total pressure and superimposed flow-adaptive grid points and (b) differences to reference measurement



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