Startseite Assessment of performance degradation of a mixed flow low bypass turbofan engine through GasTurb simulation
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Assessment of performance degradation of a mixed flow low bypass turbofan engine through GasTurb simulation

  • Narahari Rath ORCID logo EMAIL logo , Mishra R. K. und Abhijit Kushari
Veröffentlicht/Copyright: 3. August 2023
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Abstract

Aero engine performance analysis is very important for engines under development as well as for engines in service for condition monitoring. Predictions of aero engine performance and ability of building the simulation model is an invaluable asset for designers, manufacturer and end-use operator. This paper presents the methodology in establishing the baseline performance of a twin spool mixed flow low bypass turbofan engine through extensive testing at engine test bench. The baseline data is used to validate a GasTurb model which is subsequently used for assessment of off-design performance and component degradation responsible for performance deterioration at various service hours. The estimated exhaust gas temperatures by the model for degraded engines are in good agreement with the measured data. The model further assesses the drop in HP compressor efficiency and shift in operating line which will be very useful for taking judicious decision for withdrawal of engines and is expected to reduce or delay withdrawals and increase the availability of engines at operating base.


Corresponding author: Narahari Rath, Engine Division, Hindustan Aeronautics Limited, Koraput, India; and Department of Aerospace Engineering, Indian Institute of Technology, Kanpur, India, E-mail:

  1. Research ethics: This research wok belongs to all authors’ own contribution. Its copyright has been transfered to the Publisher.

  2. Author contributions: The author(s) have accepted responsibility for the entire content of this manuscript and approved its submission.

  3. Competing interests: The author(s) state(s) no conflict of interest.

  4. Research funding: None declared.

  5. Data availability: The raw data is proprietary in nature and can not to be shared.

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Received: 2023-07-22
Accepted: 2023-07-23
Published Online: 2023-08-03
Published in Print: 2024-05-27

© 2023 Walter de Gruyter GmbH, Berlin/Boston

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