Method for Processing Images of Aluminum Bronzes with a Dispersed Microstructure

In this article a technique is described and the optical microstructure of the multiphase alloy BrAZh-9-4 is analyzed based on structurally ground copper. Features of the microstructure of this alloy are studied by assessing the spatial homogeneity of materials based on the geometric characteristics of phases and the structural components. To analyze the structural characteristics of the material, the following quantitative image characteristics were used: statistical separation of phases using clustering, phase identification based on the level of coloration of gray image pixels, determination of histograms of grain size distributions, and the total areas (lengths) of grain boundaries and phases. Based on the results of this study, a conclusion was made about the degree of refinement of the α and β phases, the enlargement of the γ phase due to the decomposition of the α and β phases during cooling of the alloy after ECAP treatment, the increase in the length of the grain boundaries of the material, and the uniformity of the distribution of phase grains over the microsection area.

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Publication Details

Journal
Journal of Machinery Manufacture and Reliability
Published
2024-09-26
DOI
https://doi.org/10.1134/s105261882470095x
Primary Topic
Metallurgy and Material Science
Type
article
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article

Method for Processing Images of Aluminum Bronzes with a Dispersed Microstructure

R. S. Akhmetkhanov, V. V. Stolyarov
Journal of Machinery Manufacture and Reliability
Metallurgy and Material Science
article

Method for Processing Images of Aluminum Bronzes with a Dispersed Microstructure

R. S. Akhmetkhanov, V. V. Stolyarov
article en

Abstract

In this article a technique is described and the optical microstructure of the multiphase alloy BrAZh-9-4 is analyzed based on structurally ground copper. Features of the microstructure of this alloy are studied by assessing the spatial homogeneity of materials based on the geometric characteristics of phases and the structural components. To analyze the structural characteristics of the material, the following quantitative image characteristics were used: statistical separation of phases using clustering, phase identification based on the level of coloration of gray image pixels, determination of histograms of grain size distributions, and the total areas (lengths) of grain boundaries and phases. Based on the results of this study, a conclusion was made about the degree of refinement of the α and β phases, the enlargement of the γ phase due to the decomposition of the α and β phases during cooling of the alloy after ECAP treatment, the increase in the length of the grain boundaries of the material, and the uniformity of the distribution of phase grains over the microsection area.

Journal of Machinery Manufacture and ReliabilityVol. 53(5)
Mechanical Engineering Research Institute of the Russian Academy of Sciences (RU)
Openalex Percentile: Top 90%
Metallurgy and Material Science
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