Patent Document ID: 9898832
Application ID: 15224692
Patent Status: 1

Claim One:
1. A method for characterizing a degree of sensitization of an aluminum-magnesium alloy sample, comprising: polishing a surface of the sample; applying an etchant to the polished surface, the etchant selectively etching beta phase Mg 2 Al 3 present in grain boundaries of the sample; making a digital metallographic image of the etched surface of the sample; enhancing the metallographic image to produce a binary black-and-white digital image of the etched surface, wherein areas of the image representing the etched beta phase Mg 2 Al 3 appear in the image as black spots formed from black pixels and unetched areas of the surface appear in the image as white areas formed from white pixels; applying a series of linked line segments to the enhanced image to connect a plurality of black spots in the image into a single line, each of the line segments connecting two black spots in the image and having a corresponding linewidth of from 1 pixel to a width of the smallest of the plurality of black spots to be linked, wherein the single line delineates a grain boundary of the sample having etched beta phase Mg 2 Al 3 ; applying a statistical distribution analysis to the black and white pixels along the linked line segments to determine a ratio of black pixels to white pixels along the linked line segment; calculating an average percentage of black pixels along the linked line segment, wherein the average percentage of black pixels along the linked line segment is indicative of the degree of sensitization of the sample; repeating the steps of linking the line segments to delineate all of the grain boundaries present in the image, and for each of the linked line segments, repeating the steps of applying the statistical distribution analysis to each of the delineated grain boundaries and calculating the average percentage of black pixels along the lined line segment; totaling all of the calculated average percentages of black pixels for all of the linked line segments in the image and calculating an image-wise average of a total percentage of black pixels versus white pixels on grain boundaries in the image; and converting the image-wise average of the percentage of black pixels versus white pixels on a plurality of grain boundaries to an expression of the degree of sensitization of the sample.