๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

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

โœ Scribed by Sumantra Mandal; P.V. Sivaprasad; R.K. Dube


Book ID
107458172
Publisher
Springer US
Year
2007
Tongue
English
Weight
757 KB
Volume
16
Category
Article
ISSN
1059-9495

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Prediction of static recrystallization i
โœ Y.C. Lin; Ge Liu; Ming-Song Chen; Jue Zhong ๐Ÿ“‚ Article ๐Ÿ“… 2009 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 579 KB

The static recrystallization behaviors in 42CrMo steel were investigated by isothermal interrupted hot compression tests. Based on the experimental results, an efficient artificial neural network (ANN) model was developed to predict the flow stress and static recrystallized fractions. The effects of