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- W2922060254 abstract "Surface roughness is a critical indicator of the health of turbine blades, due to its implications on blade surface heat transfer and structural integrity. The present work proposes a physics-based online assessment framework for industrial gas turbine engines (GTE), in order to assess the blade surface roughness in a high-pressure turbine without engine shutdown. The framework consolidates gas path analysis (GPA) based performance monitoring models and meanline turbomachinery analysis using a novel GPA-meanline matching process. This extracts meaningful performance deviation trends from GPA, while resolving the uncertainties associated with the measurements and modeling. To relate efficiency loss to surface roughness severity, a meanline-based system-identification process has been developed to establish the meanline representation of the turbine stage and to incorporate an empirical surface roughness loss correlation system." @default.
- W2922060254 created "2019-03-22" @default.
- W2922060254 creator A5042096631 @default.
- W2922060254 date "2019-02-26" @default.
- W2922060254 modified "2023-09-23" @default.
- W2922060254 title "Physics-Based Online Assessment of Surface Roughness Severity for High-Pressure Turbines" @default.
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- W2922060254 doi "https://doi.org/10.22215/etd/2018-13447" @default.
- W2922060254 hasPublicationYear "2019" @default.
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