Mills, A.R., Gadelovits, S., Leighton, M. et al. (1 more author) (2019) Oil system health management for aerospace gas turbine engines. In: Proceedings of the 2019 IEEE Aerospace Conference. 2019 IEEE Aerospace Conference, 02-09 Mar 2019, Montana, USA. IEEE ISBN 9781538668542
Abstract
The oil system of a gas turbine performs essential lubrication and thermal management functions, providing that the fluidic and tribological properties of the oil can meet functional requirements. New engine designs place increasing thermal and mechanical loads on the oil, and thus increase the risks of accelerated degradation potentially causing the oil properties to deviate from requirements. Presented with these risks, there is a potential business benefit for in-situ oil condition knowledge to support oil system health management. Starting with the business needs elicited from stakeholders, a Quality Functional Deployment process is performed to derive sensing system requirements. Sensing principles are reviewed for their capability to assess tribological failure mechanisms, and this is related back to stakeholder requirements. A set of sensors were procured and a testing programme performed that exercises the sensors against different degradations of oil and the noise factors representative of service. These sensors are evaluated for their ability to provide oil condition information. The framework presented in this paper uses system engineering principles to derive a health system design and verification process. The results from verification are reported to aid in providing overarching system availability management.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | Oils; Sensors; Viscosity; Degradation; Pollution measurement; Lubricants; Temperature measurement |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 21 Jan 2019 16:01 |
Last Modified: | 20 Jun 2020 00:38 |
Status: | Published online |
Publisher: | IEEE |
Refereed: | Yes |
Identification Number: | 10.1109/AERO.2019.8742088 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:140872 |