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Optical Engineering

Examination of sol-gel production repeatability by statistical pattern recognition methods
Author(s): Joanna Kobel; Artur Suchwalko; Halina Podbielska; Agnieszka Ulatowska-Jarza
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Paper Abstract

We examine the repeatability of the sol-gel production process. Methods based on statistical pattern recognition are used to evaluate microscopic images of sol-gel matrices. The applied classification is a two-steps scheme: dimensionality reduction of the data and cluster analysis. Two methods of dimensionality reduction and five methods of cluster analysis are used. We show that the repeatability varies between 82 and 93.77%. The obtained results demonstrate that the molar ratio R of the number of solvent moles to the number of substrate moles influences the stability of sol-gel materials, thus enabling us to reach a higher repeatability in the production process in the case of sol-gel produced with the addition of detergent.

Paper Details

Date Published: 1 April 2003
PDF: 7 pages
Opt. Eng. 42(4) doi: 10.1117/1.1555996
Published in: Optical Engineering Volume 42, Issue 4
Show Author Affiliations
Joanna Kobel, Wroclaw Univ. of Technology (Poland)
Artur Suchwalko, Wroclaw Univ. of Technology (Poland)
Halina Podbielska, Wroclaw Univ. of Technology (Poland)
Agnieszka Ulatowska-Jarza, Wroclaw Univ. of Technology (Poland)

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