The University of Southampton
University of Southampton Institutional Repository

Computational analysis of the effect of bogie inclination angle on landing gear noise

van Mierlo, K.J., Takeda, K. and Peers, E. (2010) Computational analysis of the effect of bogie inclination angle on landing gear noise In Proceedings of the 16th AIAA/CEAS Aeroacoustics Conference. American Institute of Aeronautics and Astronautics. 13 pp.

Record type: Conference or Workshop Item (Paper)


Airframe noise and in particular main landing gear noise is a major noise source during the approach phase. Wind tunnel tests have shown a strong relationship between the inclination angle of the bogie and the noise radiation of a main landing gear. Using Computational Fluid Dynamics, this paper investigates the flow features around three different
configurations of a simplified four wheel main landing gear. The three configurations consist of a horizontal, 10 degree toe up and 10 degree toe down bogie inclination angle. The unsteady CFD results have been used as an input to a FW-H solver to determine far field noise levels. The results show that strong vortices are generated when the
flow separates from the front wheels. The interaction of these vortices with the solid landing gear surface is
the main mechanism of noise generation. The results from the simulations show a clear relationship between the bogie inclination angle, the location of the strong vortex cores
and the far field noise levels.

PDF AIAA-223391-510.pdf - Accepted Manuscript
Download (3MB)

More information

Published date: 7 June 2010
Venue - Dates: 16th AIAA/CEAS Aeroacoustics Conference, Sweden, 2010-06-07
Organisations: Aerodynamics & Flight Mechanics


Local EPrints ID: 164097
PURE UUID: 9de9e4f4-ce04-4fd3-9bee-80680c513780

Catalogue record

Date deposited: 22 Sep 2010 07:43
Last modified: 18 Jul 2017 12:29

Export record


Author: K.J. van Mierlo
Author: K. Takeda
Author: E. Peers

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 supports OAI 2.0 with a base URL of

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.