Abstract

A Digital Image Processing (DIP) technique was used to quantify the hot-shortness cracking in a medium carbon steel with variations in copper content, oxidation temperature, and oxidation time. The DIP method was an automated and easily-implemented technique, which resulted in quantitative measures of the surface cracking as well as a fast and accurate way to compare a large number of samples. The objective of the present paper is to describe the DIP technique that was used in the hot-shortness study. This technique could be applied to other experiments where quantification of surface cracking is desired.

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