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Reconstruction of surface-pressure fluctuations using deflectometry and the virtual fields method

Reconstruction of surface-pressure fluctuations using deflectometry and the virtual fields method
Reconstruction of surface-pressure fluctuations using deflectometry and the virtual fields method
This study presents an approach for obtaining full-field dynamic surface-pressure reconstructions with low differential amplitudes. The method is demonstrated in a setup where an air jet is impinging on a flat plate. Deformations of the flat plate under dynamic loading of the impinging jet were obtained using a deflectometry setup that allows measurement of surface slopes with high accuracy and sensitivity. The measured slope information was then used as input for the virtual fields method to reconstruct pressure. Pressure fluctuations with amplitudes of down to O(1) Pa were extracted from time-resolved deflectometry data using temporal band-pass filters. Pressure transducer measurements allowed comparisons of the results with an established measurement technique. Even though the identified uncertainties in fluctuations were found to be as large as 50%, the spatial distributions of dynamic pressure events were captured well. Dynamic mode decomposition was used to identify relevant spatial information that correspond to specific frequencies. These dynamically important spatio-temporal events could be observed despite their low differential amplitudes. Finally, the limitations of the proposed pressure determination method and strategies for future improvements are discussed.
Deflectometry, Dynamic pressure, Full-field measurements, Pressure reconstruction, Virtual Fields Method
0723-4864
Kaufmann, R.
a0e0bbcd-2cf6-47b9-97fd-c17dd3b8f658
Ganapathisubramani, B.
0097a836-da70-4a2e-a9d7-f60ca01b6089
Pierron, F.
a1fb4a70-6f34-4625-bc23-fcb6996b79b4
Kaufmann, R.
a0e0bbcd-2cf6-47b9-97fd-c17dd3b8f658
Ganapathisubramani, B.
0097a836-da70-4a2e-a9d7-f60ca01b6089
Pierron, F.
a1fb4a70-6f34-4625-bc23-fcb6996b79b4

Kaufmann, R., Ganapathisubramani, B. and Pierron, F. (2020) Reconstruction of surface-pressure fluctuations using deflectometry and the virtual fields method. Experiments in Fluids, 61 (2), [35]. (doi:10.1007/s00348-019-2850-y).

Record type: Article

Abstract

This study presents an approach for obtaining full-field dynamic surface-pressure reconstructions with low differential amplitudes. The method is demonstrated in a setup where an air jet is impinging on a flat plate. Deformations of the flat plate under dynamic loading of the impinging jet were obtained using a deflectometry setup that allows measurement of surface slopes with high accuracy and sensitivity. The measured slope information was then used as input for the virtual fields method to reconstruct pressure. Pressure fluctuations with amplitudes of down to O(1) Pa were extracted from time-resolved deflectometry data using temporal band-pass filters. Pressure transducer measurements allowed comparisons of the results with an established measurement technique. Even though the identified uncertainties in fluctuations were found to be as large as 50%, the spatial distributions of dynamic pressure events were captured well. Dynamic mode decomposition was used to identify relevant spatial information that correspond to specific frequencies. These dynamically important spatio-temporal events could be observed despite their low differential amplitudes. Finally, the limitations of the proposed pressure determination method and strategies for future improvements are discussed.

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Accepted/In Press date: 12 November 2019
e-pub ahead of print date: 14 January 2020
Published date: 14 January 2020
Keywords: Deflectometry, Dynamic pressure, Full-field measurements, Pressure reconstruction, Virtual Fields Method

Identifiers

Local EPrints ID: 441438
URI: http://eprints.soton.ac.uk/id/eprint/441438
ISSN: 0723-4864
PURE UUID: 04c1d8d6-a462-4577-84d4-80018e9d633c
ORCID for F. Pierron: ORCID iD orcid.org/0000-0003-2813-4994

Catalogue record

Date deposited: 12 Jun 2020 16:30
Last modified: 26 Nov 2021 05:57

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Contributors

Author: R. Kaufmann
Author: B. Ganapathisubramani
Author: F. Pierron ORCID iD

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