Microstructure and the elemental and phase compositions of the diffusion joint of grade 45 steel through a powder layer

Зеер, Г. М.; Zelenkova, E. G.; Белоусов, О. В.; Koroleva, Yu. P.; Федорова, Е. Н.; Михеев, А. А.

doi:10.1134/s1063784215040313

Cited by 2 publications

(1 citation statement)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The vast majority of metals are composed of many small grains visible through metallographic microscopy. The interfaces of adjacent grains are called grain boundaries [1]. Traditional materials theory holds that the conventional mechanical properties of finegrained materials, including the tensile strength, toughness, and plasticity, are relatively good.…”

Section: Introductionmentioning

confidence: 99%

Algorithm based on regional separation for automatic grain boundary extraction using improved mean shift method

Xu¹,

Zhu²,

Zhang³

et al. 2018

Surf. Topogr.: Metrol. Prop.

View full text Add to dashboard Cite

Metallographic microscopy shows that the vast majority of metal materials are composed of many small grains; the grain size of a metal is important for determining the tensile strength, toughness, plasticity, and other mechanical properties. In order to quantitatively evaluate grain size in metals, grain boundaries must be identified in metallographic images. Based on the phenomenon of grain boundary blurring or disconnection in metallographic images, this study develops an algorithm based on regional separation for automatically extracting grain boundaries by an improved mean shift method. Experimental observation shows that the grain boundaries obtained by the proposed algorithm are highly complete and accurate. This research has practical value because the proposed algorithm is suitable for grain boundary extraction from most metallographic images.

show abstract

Section: Introductionmentioning

confidence: 99%