Multivariate Statistical Research in Areas of the Cast Hyper-Eutectoid Steel Roll Manufacturing, in the Melting and Alloying Processing Stages

Abstract

This study presents several key aspects of Adamite hyper-eutectoid steel roll manufacturing. Using the multivariate statistical research used as modelling approach upon the industrial data (roll's foundry and rolling sectors), the combined behavior of several chemical elements (graphitizing forming elements, Nickel |Ni| and Silicon |Si|), and carbure forming elements, Manganese |Mn| and Chrome |Cr|, under the presence of the Carbon |C|) upon the roll's hardness are presented. In this sense, several results of a complex study on the Adamite hyper-eutectoid steel rolls are presented. For generating the multiple regression equations, determination of the specific correlation coefficients and drawing the graphical addenda, the software Matlab was used.