CORRELATING TIME-RESOLVED PRESSURE MEASUREMENTS with RIM SEALING EFFECTIVENESS for REAL-TIME TURBINE HEALTH MONITORING

T. DeShong Eric, Peters Benjamin Peters, A. Berdanier Reid, A. Thole Karen, Paynabar Kamran Paynabar, Gebraeel Nagi Gebraeel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Purge flow is bled from the upstream compressor and supplied to the under-platform region to prevent hot main gas path ingress that damages vulnerable under-platform hardware components. A majority of turbine rim seal research has sought to identify methods of improving sealing technologies and understanding the physical mechanisms that drive ingress. While these studies directly support the design and analysis of advanced rim seal geometries and purge flow systems, the studies are limited in their applicability to real-time monitoring required for condition-based operation and maintenance. As operational hours increase for in-service engines, this lack of rim seal performance feedback results in progressive degradation of sealing effectiveness, thereby leading to reduced hardware life. To address this need for rim seal performance monitoring, the present study utilizes measurements from a one-stage turbine research facility operating with true-scale engine hardware at engine-relevant conditions. Time-resolved pressure measurements collected from the rim seal region are regressed with sealing effectiveness through the use of common machine learning techniques to provide real-time feedback of sealing effectiveness. Two modelling approaches are presented that use a single sensor to predict sealing effectiveness accurately over a range of two turbine operating conditions. Results show that an initial purely data-driven model can be further improved using domain knowledge of relevant turbine operations, which yields sealing effectiveness predictions within three percent of measured values.

Original languageEnglish (US)
Title of host publicationHeat Transfer - General Interest; Internal Air Systems; Internal Cooling
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Electronic)9780791884980
DOIs
StatePublished - 2021
EventASME Turbo Expo 2021: Turbomachinery Technical Conference and Exposition, GT 2021 - Virtual, Online
Duration: Jun 7 2021Jun 11 2021

Publication series

NameProceedings of the ASME Turbo Expo
Volume5B-2021

Conference

ConferenceASME Turbo Expo 2021: Turbomachinery Technical Conference and Exposition, GT 2021
CityVirtual, Online
Period6/7/216/11/21

All Science Journal Classification (ASJC) codes

  • General Engineering

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