Classification analysis of tensile strength of alloyed steels

Author:

Dobrev G L,Iliev I P

Abstract

Abstract 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.

Publisher

IOP Publishing

Subject

General Medicine

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Ensemble models for predicting the hardness of alloy steels;THE 5TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE IN INFORMATION SYSTEMS (CIIS 2022): Intelligent and Resilient Digital Innovations for Sustainable Living;2023

2. Study of the tensile strength of alloy steels using polynomial regression;AIP Conference Proceedings;2022

3. Using MARS for modeling and predicting tensile strength of low alloy steels;AIP Conference Proceedings;2022

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