Optimizing the heat treatment parameters for EN-31 steel to predict hardness via machine learning Optimizing the heat treatment parameters for EN-31 steel to predict hardness via machine learning

SSRN Electronic Journal 2026 Preprint Open access

Read full text
Authors: Ambreen Azmat, Shafaq Asrar
DOI: 10.2139/ssrn.6251007
Cited by: 0
References: 13

Fields of Study & Subjects

Machine Learning in Materials Science Microstructure and Mechanical Properties of Steels Metal Alloys Wear and Properties

Publication details

Journal / source
SSRN Electronic Journal
Publication date
1 January 2026
Language
EN
Document type
Preprint