The University of Southampton
University of Southampton Institutional Repository

Comparison of predicted and experimental erosion estimates in slurry ducts

Record type: Article

Computational models for the impact velocity and impact angle in a bend have been successfully applied to the flow field and validated by electrical resistance tomography (ERT) to confirm the position of particle burdens. Particle impact parameters from this work have been used as inputs to erosion models to predict wall wastage rates in a Rc/D=1.2 bend and a upstream straight pipe section. The location of damage and the levels of wall wastage agree well with those obtained from erosion trials conducted on a full scale loop rig with AISI 304 stainless steel pipework. Well-distributed but asymmetric particulate flows of sand in water have been studied at average flow velocities of 3 m s?1. Predicted erosion damage levels and locations are compared to non-destructive ultrasonic and gravimetric measurements as well as wall thickness measurements made with a micrometer after cutting the pipe and bends sections.

Full text not available from this repository.

Citation

Wood, R.J.K., Jones, T.F., Ganeshalingam, J. and Miles, N.J. (2004) Comparison of predicted and experimental erosion estimates in slurry ducts Wear, 256, (9-10), pp. 937-947. (doi:10.1016/j.wear.2003.09.002).

More information

Published date: 2004
Keywords: Erosion, Pipes, Bends, Sand slurry, Microcutting, Wall wastage, CFD, Models

Identifiers

Local EPrints ID: 22762
URI: http://eprints.soton.ac.uk/id/eprint/22762
ISSN: 0043-1648
PURE UUID: 76394713-fade-4c8c-86bf-53214091b957
ORCID for R.J.K. Wood: ORCID iD orcid.org/0000-0003-0681-9239

Catalogue record

Date deposited: 21 Mar 2006
Last modified: 17 Jul 2017 16:20

Export record

Altmetrics

Contributors

Author: R.J.K. Wood ORCID iD
Author: T.F. Jones
Author: J. Ganeshalingam
Author: N.J. Miles

University divisions

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.

×