Applications of cluster analysis in the quantitative estimation of similarities in geometrical characteristics of grains in polycrystalline materials

The article presents an application of the analysis of clusters for the quantitative evaluation of similarities in geometrical features of grains in polycrystalline aluminum. The cluster analysis is a method that can be used to analyze the results of measurements of a number of parameters specifying...

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Bibliographic Details
Published in:Materials characterization 1994-03, Vol.32 (2), p.105-118
Main Authors: Kurzydłowski, K.J., Bystrzycki, J., Czujko, T.
Format: Article
Language:English
Subjects:
Cross-disciplinary physics: materials science
rheology
Exact sciences and technology
Granular solids
Material form
Methods of materials synthesis and materials processing
Physics
Rheology
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Summary:The article presents an application of the analysis of clusters for the quantitative evaluation of similarities in geometrical features of grains in polycrystalline aluminum. The cluster analysis is a method that can be used to analyze the results of measurements of a number of parameters specifying properties of given microstructural features. It is particularly attractive if employed to analyze the data acquired using systems for automatic image processing. The method enables thorough analysis of the shape of grains described by various shape factors. Possible other applications of the cluster analysis include studies of grain growth and phase transformations.
ISSN:1044-5803
1873-4189
DOI:10.1016/1044-5803(94)90097-3