The University of Southampton
University of Southampton Institutional Repository

Full-field pressure from snapshot and time-resolved volumetric PIV

Full-field pressure from snapshot and time-resolved volumetric PIV
Full-field pressure from snapshot and time-resolved volumetric PIV
This paper deals with pressure estimation from snapshot and time-resolved three-component (3C) volumetric PIV data using Taylor’s hypothesis, an Eulerian and a pseudo-Lagrangian approach. The Taylor’s hypothesis approach has been shown to provide accurate results for pressure in the case of 3C planar PIV data with an appropriate choice of convection velocity (de Kat and Ganapathisubramani 2013), and here we extend its use on 3C volumetric velocity snapshots. Application of the techniques to synthetic data shows that the Taylor’s hypothesis approach performs best using the streamwise mean as the convection velocity and is affected the least by noise, while the Eulerian approach suffers the most. In terms of resolution, the pseudo-Lagrangian approach is the most sensitive. Its accuracy can be improved by increasing the frame time-separation when computing the material derivative, at the expense of volume loss from fluid parcels leaving the FOV. Comparison of the techniques on turbulent boundary layer data with DNS supports these observations and shows that the Taylor’s hypothesis approach is the only way we can get pressure when time information is not present.
0723-4864
1-14
Laskari, Angeliki
15fd6017-4699-4cb5-bbf1-a158e8dcd70f
de Kat, Roeland
d46a99a4-8653-4698-9ef4-46dd0c77ba5d
Ganapathisubramani, Bharathram
5e69099f-2f39-4fdd-8a85-3ac906827052
Laskari, Angeliki
15fd6017-4699-4cb5-bbf1-a158e8dcd70f
de Kat, Roeland
d46a99a4-8653-4698-9ef4-46dd0c77ba5d
Ganapathisubramani, Bharathram
5e69099f-2f39-4fdd-8a85-3ac906827052

Laskari, Angeliki, de Kat, Roeland and Ganapathisubramani, Bharathram (2016) Full-field pressure from snapshot and time-resolved volumetric PIV. Experiments in Fluids, 57 (3), 1-14, [44]. (doi:10.1007/s00348-016-2129-5).

Record type: Article

Abstract

This paper deals with pressure estimation from snapshot and time-resolved three-component (3C) volumetric PIV data using Taylor’s hypothesis, an Eulerian and a pseudo-Lagrangian approach. The Taylor’s hypothesis approach has been shown to provide accurate results for pressure in the case of 3C planar PIV data with an appropriate choice of convection velocity (de Kat and Ganapathisubramani 2013), and here we extend its use on 3C volumetric velocity snapshots. Application of the techniques to synthetic data shows that the Taylor’s hypothesis approach performs best using the streamwise mean as the convection velocity and is affected the least by noise, while the Eulerian approach suffers the most. In terms of resolution, the pseudo-Lagrangian approach is the most sensitive. Its accuracy can be improved by increasing the frame time-separation when computing the material derivative, at the expense of volume loss from fluid parcels leaving the FOV. Comparison of the techniques on turbulent boundary layer data with DNS supports these observations and shows that the Taylor’s hypothesis approach is the only way we can get pressure when time information is not present.

Text
FullFieldPressureFromPIV_AcceptedManuscript.pdf - Accepted Manuscript
Available under License Creative Commons Attribution.
Download (664kB)

More information

Accepted/In Press date: 18 January 2016
e-pub ahead of print date: 1 March 2016
Published date: 1 March 2016
Organisations: Aerodynamics & Flight Mechanics Group

Identifiers

Local EPrints ID: 388507
URI: http://eprints.soton.ac.uk/id/eprint/388507
ISSN: 0723-4864
PURE UUID: 6ad27755-9e00-4c48-a347-0957ac16688d
ORCID for Roeland de Kat: ORCID iD orcid.org/0000-0002-6851-4409
ORCID for Bharathram Ganapathisubramani: ORCID iD orcid.org/0000-0001-9817-0486

Catalogue record

Date deposited: 02 Mar 2016 15:36
Last modified: 04 Jun 2020 04:01

Export record

Altmetrics

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×