The University of Southampton
University of Southampton Institutional Repository

High–lift actuation weight estimation using low–cost methods

High–lift actuation weight estimation using low–cost methods
High–lift actuation weight estimation using low–cost methods
Civil passenger aircraft use high-power actuation systems to deploy high–lift surfaces on the leading and trailing edges of their wings. The mass and size of these systems scales with the expected load the high–lift surfaces are deploy. The problem is that estimated maximum panel loads are not known to a high degree of confidence in the conceptual and preliminary phases of design. The consequence of this in the early phases of the design cycle is that actuation system mass cannot be incorporated to any optimisation loop and traded off against design variables as part of an aerostructural optimisation. This increases uncertainty in the wing weight and the corresponding structural design margins. Ultimately, this uncertainty degrades performance and provides pessimistic estimates of dynamic aeroelastic response. This thesis presents a solution in three parts. First it presents a method for estimating the high–lift actuation system using the aircraft’s high–lift geometry. Second, it introduces a novel approach to estimating high-lift panel loads using low cost computational methods suitable for conceptual and preliminary aircraft design. Third, it quantifies the impact of the high–lift actuation system on the dynamic aeroelastic response.
University of Southampton
Moss, Benjamin
c07d2cb8-3558-46d8-a22a-0fb38d92db94
Moss, Benjamin
c07d2cb8-3558-46d8-a22a-0fb38d92db94
Da Ronch, Andrea
a2f36b97-b881-44e9-8a78-dd76fdf82f1a

Moss, Benjamin (2022) High–lift actuation weight estimation using low–cost methods. University of Southampton, Doctoral Thesis, 149pp.

Record type: Thesis (Doctoral)

Abstract

Civil passenger aircraft use high-power actuation systems to deploy high–lift surfaces on the leading and trailing edges of their wings. The mass and size of these systems scales with the expected load the high–lift surfaces are deploy. The problem is that estimated maximum panel loads are not known to a high degree of confidence in the conceptual and preliminary phases of design. The consequence of this in the early phases of the design cycle is that actuation system mass cannot be incorporated to any optimisation loop and traded off against design variables as part of an aerostructural optimisation. This increases uncertainty in the wing weight and the corresponding structural design margins. Ultimately, this uncertainty degrades performance and provides pessimistic estimates of dynamic aeroelastic response. This thesis presents a solution in three parts. First it presents a method for estimating the high–lift actuation system using the aircraft’s high–lift geometry. Second, it introduces a novel approach to estimating high-lift panel loads using low cost computational methods suitable for conceptual and preliminary aircraft design. Third, it quantifies the impact of the high–lift actuation system on the dynamic aeroelastic response.

Text
Final Thesis - Version of Record
Available under License University of Southampton Thesis Licence.
Download (10MB)
Text
Permission to deposit thesis - form
Restricted to Repository staff only

More information

Submitted date: October 2021
Published date: June 2022

Identifiers

Local EPrints ID: 467321
URI: http://eprints.soton.ac.uk/id/eprint/467321
PURE UUID: c17e7913-1aae-4c34-8061-1c1cea4daf6c
ORCID for Andrea Da Ronch: ORCID iD orcid.org/0000-0001-7428-6935

Catalogue record

Date deposited: 06 Jul 2022 16:30
Last modified: 17 Mar 2024 03:32

Export record

Contributors

Author: Benjamin Moss
Thesis advisor: Andrea Da Ronch ORCID iD

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.

×