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Experimental investigation of the onset of sand deposits on Hastelloy-X between 1,000°C and 1,100°C

Part of: ISABE 2017

Published online by Cambridge University Press:  21 June 2017

A. Boulanger*
Affiliation:
Virginia Tech, College of Engineering, Department of Mechanical Engineering, Blacksburg, VirginiaUS
J. Hutchinson
Affiliation:
Virginia Tech, College of Engineering, Department of Mechanical Engineering, Blacksburg, VirginiaUS
W.F. Ng
Affiliation:
Virginia Tech, College of Engineering, Department of Mechanical Engineering, Blacksburg, VirginiaUS
S.V. Ekkad
Affiliation:
Virginia Tech, College of Engineering, Department of Mechanical Engineering, Blacksburg, VirginiaUS
M.J. Keefe
Affiliation:
Virginia Tech, College of Science, Department of Statistics Blacksburg, VirginiaUS
W. Xu
Affiliation:
Virginia Tech, College of Science, Department of Statistics Blacksburg, VirginiaUS
B. Barker
Affiliation:
Rolls Royce Corp., Indianapolis, IndianaUS
K. Hsu
Affiliation:
Rolls Royce Corp., Indianapolis, IndianaUS

Abstract

Deposit formation on turbine hardware in propulsion turbine engines can occur in many arid regions globally. Characterising crystalline deposits on metallic substrates can aid in component resilience and health monitor algorithms during particle ingestion. This study has developed two statistical empirical models for prediction from acquired experimental data for the onset of deposits. The prediction models are for crystalline particulate (Arizona Road Test Dust) deposits on a flat rectangular Hastelloy-X test coupon. Particle impingement angles varied between 20° and 80° in experimental flow temperatures of 1,000–1,100°C. Averaged deposits are methodically quantified through normalised particle deposit tallies per area and percent coverage of the surface using microscopic imaging and image processing programs. Deposit accumulation is a quadratic function of both near-surface coupon temperature and coupon angle.

Type
Research Article
Copyright
Copyright © Royal Aeronautical Society 2017 

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Footnotes

This paper will be presented at the ISABE 2017 Conference, 3-8 September 2017, Manchester, UK.

References

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