当前位置: X-MOL 学术Open Chem. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Multivariate analysis for the classification of copper–lead and copper–zinc glasses
Open Chemistry ( IF 2.1 ) Pub Date : 2020-08-26 , DOI: 10.1515/chem-2020-0140
Dimitar Dimitrov 1 , Miroslava Nedyalkova 2 , Sergio Madurga 3 , Ludmila Naneva 4 , Vasil Simeonov 1
Affiliation  

Abstract 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.

中文翻译:

铜铅玻璃和铜锌玻璃分类的多元分析

摘要 通过使用多元统计分析在研究对象内寻找相似性,确定了铜铅玻璃和铜锌硼酸盐玻璃物理化学性质的相似性模式。作为多元分析的探索性方法,聚类分析、主成分分析和双向聚类被应用于一组铜-铅和铜-锌硼酸盐玻璃。解释了铜玻璃物理化学特性之间的特定相关性。特别是,确定了铜玻璃中 Pb 和 Zn 掺杂金属离子对结构和机械性能的影响。有趣的是,铅含量的高低决定了两种具有特定理化性质的玻璃。
更新日期:2020-08-26
down
wechat
bug