Title of article
Critical assessment of models for predicting the Ms temperature of steels
Author/Authors
Sourmail، نويسنده , , T. and Garcia-Mateo، نويسنده , , C.، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2005
Pages
12
From page
323
To page
334
Abstract
Different approaches to predicting the Ms temperatures of steels are reviewed and discussed with the objective of summarising the main characteristics, advantages and difficulties of each method, mostly from a practical point of view. Empirical methods, and methods based on thermodynamics are then assessed against published data.
Keywords
martensite , Thermodynamics , Bayesian neural networks , Linear regression
Journal title
Computational Materials Science
Serial Year
2005
Journal title
Computational Materials Science
Record number
1680968
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