TRIP steel

A combination of neural networks and genetic algorithms has been used to design a TRIP assisted steel in which the silicon concentration is kept low. In this context, the steel has a novel microstructure consisting of δ ferrite dendrites and a residual phase which at high temperatures is austenite....

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Materials science and technology 2007-07, Vol.23 (7), p.819
Hauptverfasser:	Chatterjee, S, Murugananth, M, H K D H Bhadeshia
Format:	Artikel
Sprache:	eng
Schlagworte:	Annealing Chemicals Genetic algorithms Mathematical functions Mechanical properties Neural networks Silicon Steel Variables
Online-Zugang:	Volltext
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