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Journal of Materials Engineering and Performance
Published in: Journal of Materials Engineering and Performance 4/2015

01-04-2015

A Numerical Approach to the Prediction of Hardness at Different Points of a Heat-Treated Steel

Authors: M. Kianezhad, S. A. Sajjadi, H. Vafaeenezhad

Published in: Journal of Materials Engineering and Performance | Issue 4/2015

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Abstract

Accurate prediction of the mechanical properties in quenched steel parts has been considered by many recent researchers. For this purpose, different methods have been introduced. One of them is the quench factor analysis (QFA) which is based on continuous cooling rate during quenching. Another method for prediction of the mechanical properties in heat-treated alloys is artificial neural networks (ANNs). In the present research, QFA and ANN approaches have been used to predict the hardness of quenched steel parts in several different quench media. Then for the two methods, the predicted values have been compared with the experimental data. Results showed that the two methods are suitable in prediction of the hardness at different points of the quenched steel parts.
previous article Sensitization of 21% Cr Ferritic Stainless Steel Weld Joints Fabricated With/Without Austenitic Steel Foil as Interlayer
next article Effects of Quenching Media on Phase Transformation Characteristics and Hardness of Cu-Al-Ni-Co Shape Memory Alloys

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Metadata
Title
A Numerical Approach to the Prediction of Hardness at Different Points of a Heat-Treated Steel
Authors
M. Kianezhad
S. A. Sajjadi
H. Vafaeenezhad
Publication date
01-04-2015
Publisher
Springer US
Published in
Journal of Materials Engineering and Performance / Issue 4/2015
Print ISSN: 1059-9495
Electronic ISSN: 1544-1024
DOI
https://doi.org/10.1007/s11665-015-1433-1

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