The University of Southampton
University of Southampton Institutional Repository

Constrained parallel global optimization for boundary layer transition control

Record type: Conference or Workshop Item (Paper)

Turbulent flow has a significantly higher drag than the corresponding laminar flow at the same flow conditions, and therefore incurs a significant penalty of increased fuel consumption due to the extra thrust required. One possible way of decreasing the drag is to apply surface suction to delay the transition from laminar to turbulent flow. In this paper an aerofoil with 3 non-overlapping panels covering up to 20% of chord for boundary layer transition control is considered. The problem is complicated by the fact that panels can change both their positions and lengths. The complexity of the optimization problem is such that it is not practical to perform the investigation using a single processor. A constrained global parallel algorithm based on a combination of deformed configuration methods and controlled random search method is developed. It is shown that for the problem considered, good solutions can be found efficiently.

Full text not available from this repository.

Citation

Veres, G.V., Tutty, O.R., Rogers, E. and Nelson, P.A. (2003) Constrained parallel global optimization for boundary layer transition control In Proceedings of the 42nd IEEE Conference on Decision and Control. Institute of Electrical and Electronics Engineers., pp. 2792-2797. (doi:10.1109/CDC.2003.1273047).

More information

Published date: December 2003
Organisations: Aerodynamics & Flight Mechanics

Identifiers

Local EPrints ID: 155797
URI: http://eprints.soton.ac.uk/id/eprint/155797
ISBN: 0-7803-7924-1
PURE UUID: b8856c07-0e5e-40e7-86a2-02a6c39ea272

Catalogue record

Date deposited: 09 Jul 2010 10:18
Last modified: 18 Jul 2017 12:44

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.

×