Metallographic Quantitative Analysis for GCr15 by Digital Image Process

Xia-xia ZHAO, Wu-yin JIN, Xiao-ling QI, Chang-feng YAN

Abstract


Based on the GCr15 SEM digital metallographic image, an efficient approach for quantitative analysis processing by Matlab software is introduced in this work, gray scale, adjusting the gray, and morphologic operation in digital image processing are used to estimate proportion of the carbide particle and to evaluate the quality of quenching and tempering heat treatment for GGr15 bearing steel. We found that the carbide particle of quenched and tempered GCr15 in bearing outer ring is less than that in the tapered roller, meaning that they will have different mechanical property in future.

Keywords


GCr15, Carbide particle, Digital image processing, Matlab software


DOI
10.12783/dtetr/icca2016/5991

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