The University of Southampton
University of Southampton Institutional Repository

Automatic design optimisation of a transonic compressor rotor for improving aeroacoustic and aerodynamic performance

Automatic design optimisation of a transonic compressor rotor for improving aeroacoustic and aerodynamic performance
Automatic design optimisation of a transonic compressor rotor for improving aeroacoustic and aerodynamic performance
0889-504X
Wu, Long
9787473b-a81a-47ce-a696-22afa8c2204b
Kim, Jae Wook
fedabfc6-312c-40fd-b0c1-7b4a3ca80987
Wilson, Alexander
208d47f4-0a9d-4de3-8e45-07536862d07b
Shahpar, Shahrokh
ae2104a8-5531-427c-b812-c51227060843
Wu, Long
9787473b-a81a-47ce-a696-22afa8c2204b
Kim, Jae Wook
fedabfc6-312c-40fd-b0c1-7b4a3ca80987
Wilson, Alexander
208d47f4-0a9d-4de3-8e45-07536862d07b
Shahpar, Shahrokh
ae2104a8-5531-427c-b812-c51227060843

Wu, Long, Kim, Jae Wook, Wilson, Alexander and Shahpar, Shahrokh (2022) Automatic design optimisation of a transonic compressor rotor for improving aeroacoustic and aerodynamic performance. Journal of Turbomachinery, 144 (8), [TURBO-21-1084]. (doi:10.1115/1.4053916).

Record type: Article
Text
asme2ej-accepted - Accepted Manuscript
Download (3MB)

More information

Accepted/In Press date: 30 January 2022
Published date: 16 March 2022

Identifiers

Local EPrints ID: 454788
URI: http://eprints.soton.ac.uk/id/eprint/454788
ISSN: 0889-504X
PURE UUID: ae5ea8c9-11fc-4e9b-b977-fc9ea4f1fbeb
ORCID for Long Wu: ORCID iD orcid.org/0009-0006-8578-7755
ORCID for Jae Wook Kim: ORCID iD orcid.org/0000-0003-0476-2574

Catalogue record

Date deposited: 23 Feb 2022 17:39
Last modified: 17 Mar 2024 03:55

Export record

Altmetrics

Contributors

Author: Long Wu ORCID iD
Author: Jae Wook Kim ORCID iD
Author: Shahrokh Shahpar

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.

×