Multivariate analysis for the classification of copper–lead and copper–zinc glasses

Autor: Dimitrov Dimitar, Nedyalkova Miroslava, Madurga Sergio, Naneva Ludmila, Simeonov Vasil
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Open Chemistry, Vol 18, Iss 1, Pp 1080-1085 (2020)
Druh dokumentu: article
ISSN: 2391-5420
DOI: 10.1515/chem-2020-0140
Popis: The similarity patterns in the physicochemical properties of copper–lead and copper–zinc borate glasses were identified by means of finding similarity within the objects of study using multivariate statistical analysis. As exploratory methods of multivariate analysis, cluster analysis, principal components analysis, and two-way clustering were applied for a set of copper–lead and copper–zinc borate glasses. Specific correlations among the physicochemical properties of copper glasses were interpreted. In particular, the effect of Pb and Zn doping metal ion in copper glasses in the structural and mechanical properties is identified. Interestingly, the degree of lead content determines two kinds of glasses with specific physicochemical properties.
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