Modeling Microstructural Evolution During Dynamic Recrystallization of Alloy D9 Using Artificial Neural Network

An artificial neural network (ANN) model was developed to predict the microstructural evolution of a 15Cr-15Ni-2.2Mo-Ti modified austenitic stainless steel (Alloy D9) during dynamic recrystallization (DRX). The input parameters were strain, strain rate, and temperature whereas microstructural featur...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Journal of materials engineering and performance 2007-12, Vol.16 (6), p.672-679
Hauptverfasser:	Mandal, Sumantra, Sivaprasad, P V, Dube, R K
Format:	Artikel
Sprache:	eng
Schlagworte:	Alloy development Alloy steels Austenitic stainless steels Dynamic recrystallization Learning theory Mathematical models Microstructure Neural networks Strain
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!