Modelling of the hot deformation behaviour of a titanium alloy using constitutive equations and artificial neural network

Computational Materials Science ◽

10.1016/j.commatsci.2014.05.040 ◽

2014 ◽

Vol 92 ◽

pp. 47-56 ◽

Author(s):

Jingwei Zhao ◽

Hua Ding ◽

Wenjuan Zhao ◽

Mingli Huang ◽

Dongbin Wei ◽

...

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Titanium Alloy ◽

Constitutive Equations ◽

Hot Deformation ◽

Deformation Behaviour ◽

Artificial Neural ◽

Hot Deformation Behaviour

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Artificial neural network modelling to predict hot deformation behaviour of zinc–aluminium alloy

Materials Science and Technology ◽

10.1179/1743284712y.0000000127 ◽

2013 ◽

Vol 29 (2) ◽

pp. 184-189 ◽

Author(s):

Y Liu ◽

H Y Li ◽

H F Jiang ◽

X J Su

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Aluminium Alloy ◽

Hot Deformation ◽

Deformation Behaviour ◽

Network Modelling ◽

Neural Network Modelling ◽

Artificial Neural ◽

Hot Deformation Behaviour ◽

Artificial Neural Network Modelling

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Artificial neural network modelling to predict hot deformation behaviour of as HIPed FGH4169 superalloy

Materials Science and Technology ◽

10.1179/1743284713y.0000000411 ◽

2013 ◽

Vol 30 (10) ◽

pp. 1170-1176 ◽

Author(s):

C. G. Yao ◽

B. Wang ◽

D. Q. Yi ◽

B. Wang ◽

X. F. Ding

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Hot Deformation ◽

Deformation Behaviour ◽

Network Modelling ◽

Neural Network Modelling ◽

Artificial Neural ◽

Hot Deformation Behaviour ◽

Artificial Neural Network Modelling

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Artificial neural network and constitutive equations to predict the hot deformation behavior of modified 2.25Cr–1Mo steel

Materials & Design (1980-2015) ◽

10.1016/j.matdes.2012.05.056 ◽

2012 ◽

Vol 42 ◽

pp. 192-197 ◽

Author(s):

Hong-Ying Li ◽

Ji-Dong Hu ◽

Dong-Dong Wei ◽

Xiao-Feng Wang ◽

Yang-Hua Li

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Constitutive Equations ◽

Hot Deformation ◽

Deformation Behavior ◽

Hot Deformation Behavior ◽

Artificial Neural

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Modeling Constitutive Relationship of BT25 Titanium Alloy During Hot Deformation by Artificial Neural Network

Journal of Materials Engineering and Performance ◽

10.1007/s11665-011-0061-7 ◽

2011 ◽

Vol 21 (8) ◽

pp. 1591-1597 ◽

Author(s):

Xiong Ma ◽

Weidong Zeng ◽

Fei Tian ◽

Yu Sun ◽

Yigang Zhou

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Titanium Alloy ◽

Hot Deformation ◽

Constitutive Relationship ◽

Artificial Neural ◽

Relationship Of

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Hot deformation behavior and artificial neural network modeling of β-γ TiAl alloy containing high content of Nb

Materials Today Communications ◽

10.1016/j.mtcomm.2021.102405 ◽

2021 ◽

pp. 102405

Author(s):

Gengwu Ge ◽

Zeming Wang ◽

Laiqi Zhang ◽

Junpin Lin

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Hot Deformation ◽

Deformation Behavior ◽

Network Modeling ◽

Neural Network Modeling ◽

Hot Deformation Behavior ◽

Artificial Neural Network Modeling ◽

Artificial Neural

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Artificial Neural Network Models for Predicting Flow Stress and Microstructure Evolution of a Hydrogenized Titanium Alloy

Key Engineering Materials - Progresses in Fracture and Strength of Materials and Structures ◽

10.4028/0-87849-456-1.541 ◽

2007 ◽

pp. 541-544

Author(s):

Qing Wang ◽

J. Lai ◽

Dong Li Sun

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Titanium Alloy ◽

Flow Stress ◽

Microstructure Evolution ◽

Network Models ◽

Neural Network Models ◽

Artificial Neural ◽

Artificial Neural Network Models

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Artificial Neural Network Modeling to Predict Hot Deformation Behavior of Zn-Al Alloy

TMS 2016 145th Annual Meeting & Exhibition ◽

10.1007/978-3-319-48254-5_50 ◽

2016 ◽

pp. 417-424

Author(s):

Yingli Liu ◽

Jiancheng Yin ◽

Ying Jiang ◽

Yi Zhong

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Hot Deformation ◽

Deformation Behavior ◽

Network Modeling ◽

Neural Network Modeling ◽

Al Alloy ◽

Hot Deformation Behavior ◽

Artificial Neural Network Modeling ◽

Artificial Neural

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Modeling the Correlation of Composition-Processing-Property for TC11 Titanium Alloy Based on Principal Component Analysis and Artificial Neural Network

Journal of Materials Engineering and Performance ◽

10.1007/s11665-012-0162-y ◽

2012 ◽

Vol 21 (11) ◽

pp. 2231-2237 ◽

Author(s):

Yu Sun ◽

Weidong Zeng ◽

Yongqing Zhao ◽

Yitao Shao ◽

Yigang Zhou

Keyword(s):

Neural Network ◽

Principal Component Analysis ◽

Artificial Neural Network ◽

Titanium Alloy ◽

Principal Component ◽

Component Analysis ◽

Processing Property ◽

Artificial Neural ◽

Tc11 Titanium Alloy

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Hot Deformation Flow Behaviour Modelling of Cast-Extruded Al 7075 Alloy Using Arrhenius Equations and Artificial Neural Network

Transactions of the Indian Institute of Metals ◽

10.1007/s12666-016-0849-0 ◽

2016 ◽

Vol 69 (10) ◽

pp. 1899-1909

Author(s):

L. Saravanan ◽

T. Senthilvelan

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Hot Deformation ◽

Flow Behaviour ◽

Behaviour Modelling ◽

Al 7075 ◽

Artificial Neural ◽

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Prediction of flow stress during hot deformation of MA'ed hybrid aluminium nanocomposite employing artificial neural network and Arrhenius constitutive model

Multidiscipline Modeling in Materials and Structures ◽

10.1108/15736101211251185 ◽

2012 ◽

Vol 8 (2) ◽

pp. 136-158 ◽

Author(s):

H. Ahamed ◽

V. Senthilkumar

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Flow Stress ◽

Constitutive Model ◽

Hot Deformation ◽

Artificial Neural

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