Areal parametric characterisation of ex-service compressor blade leading edges

Karl Walton, Liam Blunt, Leigh Fleming, Martin N. Goodhand, Hang W. Lung

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

In-service the degradation of compressor blade leading edges can have a disproportional effect on compressor efficiency. The high surface curvature in this region makes quantifying the surface finish of this sensitive and prominent region difficult. An automated technique that characterises the roughness of the leading edge in terms of areal parameters is presented. A set of ex-service blades of differing sizes are used to demonstrate the procedure. Improved characterisation of this blade region will allow engine companies to better understand where in-service deterioration has the greatest effect and inform them as to how they might minimise the effect. The present work shows that the leading edges of compressor blades exhibit a significantly higher characteristic surface roughness than other blade regions, and the spatial distribution of peaks in this characteristic roughness is detailed. In addition it is shown that peak wear and roughness are not uniformly correlated.

LanguageEnglish
Pages79-86
Number of pages8
JournalWear
Volume321
DOIs
Publication statusPublished - 1 Dec 2014

Fingerprint

compressor blades
leading edges
blades
Turbomachine blades
Compressors
roughness
Surface roughness
compressor efficiency
deterioration
engines
spatial distribution
surface roughness
curvature
Spatial distribution
degradation
Deterioration
Wear of materials
Engines
Degradation
Industry

Cite this

Walton, Karl ; Blunt, Liam ; Fleming, Leigh ; Goodhand, Martin N. ; Lung, Hang W. / Areal parametric characterisation of ex-service compressor blade leading edges. In: Wear. 2014 ; Vol. 321. pp. 79-86.
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Areal parametric characterisation of ex-service compressor blade leading edges. / Walton, Karl; Blunt, Liam; Fleming, Leigh; Goodhand, Martin N.; Lung, Hang W.

In: Wear, Vol. 321, 01.12.2014, p. 79-86.

Research output: Contribution to journalArticle

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