Open AccessClassification analysis of tensile strength of alloyed steels
Author(s) -
Georgy Dobrev,
И. Илиев
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/878/1/012066
Subject(s) - ultimate tensile strength , materials science , similarity (geometry) , cluster (spacecraft) , chemical composition , metallurgy , statistical analysis , composite material , statistics , mathematics , computer science , thermodynamics , artificial intelligence , physics , image (mathematics) , programming language
Based on experiment data about 63 steels, a statistical models and a methodology are developed to assess the influence of chemical composition on the tensile strength of steels. Using the methods of factor and cluster analysis, the independent quantities are grouped according to correlation and similarity criteria into factors and clusters. The degree of influence of the chemical composition on the tensile strength of some alloyed steels is determined.