Predicting the bake hardenability of steels using neural network modeling
Author:
Publisher
Elsevier BV
Subject
Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics,General Materials Science
Reference27 articles.
1. Bake-hardening behavior of cold-rolled CMnSi and CMnSiCu TRIP-aided steel sheets;Wang;Journal of Material Processing Technology,2004
2. A micromechanical approach to model the bake hardening effect for low carbon steels;Berbenni;Scripta Materialia,2004
3. Competition between grain boundary segregation and Cottrell atmosphere formation during static strain aging in ultra low carbon bake hardening steels;Soenon;Acta Materialia,2004
4. Kinetics of low temperature precipitation in a ULC-bake hardening steel;De;Scripta Materialia,2001
5. Effect of dislocation density on the low temperature aging behavior on an ultra low carbon bake hardening steel;De;Journal of Alloys and Compounds,2000
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