STATISTICAL ASSESMENT OF THE QUALITY OF METALLURGICAL SLAG OF PAVLODAR BRANCH LLP «CASTING» WITH APPLICATION OF METHODS OF THE CLASTER ANALYSIS

Abstract

In the Pavlodar region since the Soviet Union, there are metallurgical enterprises that produce hundreds of tons of metallurgical waste, scale, lining, and so on every day. Within the framework of the project, at present, to improve the ecological situation, resource-saving technologies are found in which technogenic waste or products of their processing can be used as raw materials, which in the conditions of industrial production gives significant economic and resource-saving effects. The article discusses the application of cluster analysis methods for statistical assessment of the quality of metallurgical slag of PF Casting LLP, using the software package “Complex quality assessment and classification of multidimensional objects” based on the methods of Ward, Tamura S, Euclidean distance. As a result of the use of the “Comprehensive Quality Assessment and Classification of Multidimensional Objects” software product, metallurgical slag samples taken from different points of the slag storage were divided into clusters and a metallurgical slag quality assessment was obtained for further use in building materials. We have developed effective formulations of heavy concrete mixtures using metallurgical wastes of the PF Casting LLP that meet the requirements of GOST25192-2012.