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Proceedings Paper

Automated Analysis Of Polymer Mixing Using An Industrial Vision System
Author(s): Rolf David Iverson; Frederick M. Waltz
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Paper Abstract

High-quality polymer production depends on thorough and uniform mixing of the raw materials. Effective research on the mixing process requires precise, repeatable, and objective measurements of "mixing quality". The accepted technique for measuring mixing quality in the early stages of the mixing process is to load the extruder with raw materials in two contrasting colors, and to extract samples of the "mix" at various points along the extruder. Photographs of these samples are then evaluated visually to determine the statistics of the length and width distributions of the striations produced by the two colors. Direct methods of performing this analysis are highly subjective and are extremely labour-intensive. An image analysis technique that mimics the direct measurement method and computes the length and width histograms is presented. The technique uses an industrial vision development system, which carries out a grey-level-encoded skeletonizing process. Examples of processed images and results are included.

Paper Details

Date Published: 17 November 1986
PDF: 5 pages
Proc. SPIE 0654, Automatic Optical Inspection, (17 November 1986); doi: 10.1117/12.938295
Show Author Affiliations
Rolf David Iverson, Applied Vision Systems, Inc. (United States)
Frederick M. Waltz, 3M Company (United States)

Published in SPIE Proceedings Vol. 0654:
Automatic Optical Inspection
Lionel R. Baker; H. John Caulfield, Editor(s)

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