Study on hot deformation behavior of AISI 414 martensitic stainless steel using 3D processing map

2020 ◽  
Vol 56 ◽  
pp. 916-927 ◽  
Author(s):  
M. Chegini ◽  
M.R. Aboutalebi ◽  
S.H. Seyedein ◽  
G.R. Ebrahimi ◽  
M. Jahazi
Keyword(s):  
Stainless Steel ◽  
Hot Deformation ◽  
Deformation Behavior ◽  
Processing Map ◽  
Martensitic Stainless Steel ◽  
Hot Deformation Behavior ◽  
3D Processing

Investigation on the Hot Deformation Behavior of 316L Stainless Steel Using 3D Processing Map

2019 ◽  
Vol 72 (12) ◽  
pp. 2997-3006 ◽  
Author(s):  
Le-li Chen ◽  
Rui Luo ◽  
Yu-tong Yang ◽  
Ching-Tun Peng ◽  
Xiang Gui ◽  
...  
Keyword(s):  
Stainless Steel ◽  
Hot Deformation ◽  
Deformation Behavior ◽  
316L Stainless Steel ◽  
Processing Map ◽  
Hot Deformation Behavior ◽  
3D Processing

Artificial Neural Network to Predict the Hot Deformation Behavior of Super 13Cr Martensitic Stainless Steel

2011 ◽  
Vol 695 ◽  
pp. 361-364 ◽  
Author(s):  
Ying Han ◽  
Guan Jun Qiao ◽  
Dong Na Yan ◽  
De Ning Zou
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Stainless Steel ◽  
Flow Stress ◽  
Strain Rate ◽  
Hot Deformation ◽  
Deformation Behavior ◽  
Martensitic Stainless Steel ◽  
Ann Model ◽  
Hot Deformation Behavior

The hot deformation behavior of super 13Cr martensitic stainless steel was investigated using artificial neural network (ANN). Hot compression tests were carried out at the temperature range of 950°C to 1200°C and strain rate range of 0.1–50s–1at an interval of an order of magnitude. Based on the limited experimental data, the ANN model for the constitutive relationship existed between flow stress and strain, strain rate and deformation temperature was developed by back-propagation (BP) neural network method. A three layer structured network with one hidden layer and ten hidden neurons was trained and the normalization method was employed in training for avoiding over fitting. Modeling results show that the developed ANN model can efficiently predict the flow stress of the steel and reflect the hot deformation behavior in the whole deforming process.

scholarly journals Exploring the influence of Al content on the hot deformation behavior of Fe-Mn-Al-C steels through 3D processing map

Vacuum ◽  
2019 ◽  
Vol 159 ◽  
pp. 447-455 ◽  
Author(s):  
Zhiqiang Wu ◽  
Yubo Tang ◽  
Wei Chen ◽  
Liwei Lu ◽  
Eric Li ◽  
...  
Keyword(s):  
Hot Deformation ◽  
Deformation Behavior ◽  
Processing Map ◽  
Hot Deformation Behavior ◽  
Al Content ◽  
3D Processing
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