Issue |
Rev. Metall.
Volume 109, Number 2, 2012
|
|
---|---|---|
Page(s) | 81 - 91 | |
DOI | https://doi.org/10.1051/metal/2012002 | |
Published online | 10 May 2012 |
Lubricant homogeneity of industrial rough metallic substrates: a multivariate statistical analysis of spectroscopic ellipsometry data
Physique des Matériaux & Optique, Université de
Mons, 20 Place du
Parc, 7000
Mons,
Belgium
e-mail: michel.voue@umons.ac.be
Received:
3
May
2011
Accepted:
18
January
2012
In this paper, a non-destructive method is proposed for measuring the density of a very thin lubricant layer (weight and spatial) on an industrial surface. We considered spectroscopic ellipsometry measurements on rough tinplated steel substrates protected by a lubrication layer. The thickness of the coating was less than the roughness parameter characterizing the metallic surface. As the optical properties of the substrates could not be modelled in a conventional way due to the roughness and the complex structure of the metal, the variations of one of the ellipsometric angle (Δ) were evaluated as a function of the lubricant film surface density. After identification of the potential outliers using a multivariate analysis technique based on the Mahalanobis distance, we interpreted the data using the Drude’s approximation for thin dielectric films. The values of Δ linearly decrease with the lubricant surface density, allowing us to evaluate locally the lubricant surface density and its point-to-point variations.
Key words: Spectroscopic ellipsometry / outliers detection / multivariate analysis / lubricant / tinplated steel (TPS)
© EDP Sciences 2012
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