Recent developments in stainless steels
This article presents an overview of the developments in stainless steels made since the
1990s. Some of the new applications that involve the use of stainless steel are also …
1990s. Some of the new applications that involve the use of stainless steel are also …
Soft computing techniques in advancement of structural metals
Current trends in the progress of technology demand availability of materials resources
ahead of the advancing fronts of the application areas. During the last couple of decades …
ahead of the advancing fronts of the application areas. During the last couple of decades …
Bainite and martensite start temperature calculated with exponential carbon dependence
SMC Van Bohemen - Materials Science and Technology, 2012 - journals.sagepub.com
Analysis of published data demonstrates that the start temperatures of bainite (B s) and
martensite (M s) formation exhibit an exponential carbon dependence. Empirical models are …
martensite (M s) formation exhibit an exponential carbon dependence. Empirical models are …
A generic and extensible model for the martensite start temperature incorporating thermodynamic data mining and deep learning framework
The martensite start temperature is a critical parameter for steels with metastable austenite.
Although numerous models have been developed to predict the martensite start (M s) …
Although numerous models have been developed to predict the martensite start (M s) …
Low temperature kinetics of bainite formation in high carbon steels
T Sourmail, V Smanio - Acta Materialia, 2013 - Elsevier
This work is concerned with quantifying and discussing the influence of alloying elements on
the kinetics of bainite formation at low temperatures (220–250° C) in high carbon, high …
the kinetics of bainite formation at low temperatures (220–250° C) in high carbon, high …
Performance of neural networks in materials science
Neural networks are now a prominent feature of materials science with rapid progress in all
sectors of the subject. It is premature, however, to claim that the method is established …
sectors of the subject. It is premature, however, to claim that the method is established …
Mechanisms of nanostructure and metastable phase formations in the surface melted layers of a HCPEB-treated D2 steel
J Zou, T Grosdidier, K Zhang, C Dong - Acta Materialia, 2006 - Elsevier
This work investigates the mechanism of surface modification associated with the high-
current pulsed electron beam (HCPEB) treatment of a D2 steel with increasing numbers of …
current pulsed electron beam (HCPEB) treatment of a D2 steel with increasing numbers of …
Predicting the Ms temperature of steels with a thermodynamic based model including the effect of the prior austenite grain size
SMC Van Bohemen, L Morsdorf - Acta Materialia, 2017 - Elsevier
A thermodynamic based model for predicting the martensite-start temperature (M s) of steels
has been developed that accounts for variations in the austenite grain size (D γ). This is …
has been developed that accounts for variations in the austenite grain size (D γ). This is …
Machine learning to predict the martensite start temperature in steels
The martensite start temperature (M s) is a critical parameter when designing high-
performance steels and their heat treatments. It has, therefore, attracted significant interest …
performance steels and their heat treatments. It has, therefore, attracted significant interest …
Extension of the martensite transformation temperature relation to larger alloying elements and contents
D Barbier - Advanced Engineering Materials, 2014 - Wiley Online Library
A new relation for the Ms temperature prediction is proposed. The composition ranges
covered by the new model are enlarged compared to the classical relations. This new …
covered by the new model are enlarged compared to the classical relations. This new …