Open Access Conference Proceedings

This article presents a method for software assessing the level of axial segregation in wire rod. This so-called axial segregation is routinely determined visually as dark spots on the etched cross-section of wire, which classifies comparison to a etalon. The result is a class of characterizing the degree of segregation in the axial wire. The disadvantage of the visual evaluation is considerable subjectivity in evaluating particularly borderline levels of segregation and mere only categorial variable characterizing the degree of segregation.Software evaluation eliminates these drawbacks. The evaluation algorithm still works in the same way and the output is a quantitative variable, which can be further processed statistically. Measurement is faster, more accurate and more objective. The paper gives an example of a software evaluation of the level of segregation in the rolled wire before and after modernization of wire rod mill in Trinec Ironworks, Inc.

Keywords: segregation, wire rod, automated inspection, image processing

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