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Proceedings Paper

Self-affine scaling analysis of coating structure
Author(s): Mark A. Johnson; Paul J. Cote
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Paper Abstract

This paper describes a new numerical technique for quantitative characterization of rough surface in terms of self-affine fractal measures using non-planar reference surfaces. The algorithm is used to extract the scaling properties of coating surfaces to provide insight into the deposition process by characterizing the condition of the substrate, the evolving surface morphology, and the bulk coating properties for a selection of deposition/sputtering parameters. We have employed these numerical technique to analyze the surface topography of a variety of coatings in an effort to better understand the intrinsic structure and to determine if a correlation exists between the deposition parameters the surface topography. Our results indicate that the coating structures are consistent wit a self-affine fractal description and the extracted fractal measures are sensitive to the variations in the deposition parameters.

Paper Details

Date Published: 21 July 1999
PDF: 7 pages
Proc. SPIE 3716, Visual Information Processing VIII, (21 July 1999); doi: 10.1117/12.354692
Show Author Affiliations
Mark A. Johnson, Benet Labs. (United States)
Paul J. Cote, Benet Labs. (United States)


Published in SPIE Proceedings Vol. 3716:
Visual Information Processing VIII
Stephen K. Park; Richard D. Juday, Editor(s)

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