Strain induced transformation of retained austenite in TRIP aided steels: a neural network model

被引：14
作者：
Mukherjee, M. [1 ]
Singh, S. B.
Mohanty, O. N.
机构：
[1] Indian Inst Technol, Dept Met & Mat Engn, Kharagpur 721302, W Bengal, India
[2] Biju Patnaik Univ Technol, Bhubaneswar 751003, Orissa, India
来源：
MATERIALS SCIENCE AND TECHNOLOGY | 2007年 / 23卷 / 03期
关键词：
TRIP; neural networks; retained austenite; martensitic transformation; driving force;
D O I：
10.1179/174328407X161150
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
A neural network model has been developed to predict the strain induced transformation behaviour of retained austenite in transformation induced plasticity aided steels, as a function of the driving force for martensitic transformation, initial retained austenite content, matrix microstructure and forming conditions. The model was found to make realistic predictions that generally agree with established metallurgical principles and other published data.
引用
收藏
页码：338 / 346
页数：9
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