Modeling the Constitutive Relationship of Al–0.62Mg–0.73Si Alloy Based on Artificial Neural Network

Ying Han; Shun Yan; Yu Sun; Hua Chen

doi:10.3390/met7040114

Modeling the Constitutive Relationship of Al–0.62Mg–0.73Si Alloy Based on Artificial Neural Network

Metals ◽

10.3390/met7040114 ◽

2017 ◽

Vol 7 (4) ◽

pp. 114 ◽

Cited By ~ 6

Author(s):

Ying Han ◽

Shun Yan ◽

Yu Sun ◽

Hua Chen

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Constitutive Relationship ◽

Artificial Neural ◽

Relationship Of

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Artificial Neural Network-Based Constitutive Relationship of Inconel 718 Superalloy Construction and Its Application in Accuracy Improvement of Numerical Simulation

Applied Sciences ◽

10.3390/app7020124 ◽

2017 ◽

Vol 7 (2) ◽

pp. 124 ◽

Cited By ~ 7

Author(s):

Junya Lv ◽

Huiyu Ren ◽

Kai Gao

Keyword(s):

Neural Network ◽

Numerical Simulation ◽

Artificial Neural Network ◽

Inconel 718 ◽

Constitutive Relationship ◽

Accuracy Improvement ◽

Inconel 718 Superalloy ◽

Artificial Neural ◽

Relationship Of

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Modeling constitutive relationship of Ti40 alloy using artificial neural network

Materials & Design (1980-2015) ◽

10.1016/j.matdes.2010.10.004 ◽

2011 ◽

Vol 32 (3) ◽

pp. 1537-1541 ◽

Cited By ~ 42

Author(s):

Y. Sun ◽

W.D. Zeng ◽

Y.Q. Zhao ◽

X.M. Zhang ◽

Y. Shu ◽

...

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Constitutive Relationship ◽

Artificial Neural ◽

Relationship Of

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Modified arrhenius-type constitutive model and artificial neural network-based model for constitutive relationship of 316LN stainless steel during hot deformation

Journal of Iron and Steel Research International ◽

10.1016/s1006-706x(15)30063-7 ◽

2015 ◽

Vol 22 (8) ◽

pp. 721-729 ◽

Cited By ~ 21

Author(s):

An He ◽

Xi-tao Wang ◽

Gan-lin Xie ◽

Xiao-ya Yang ◽

Hai-long Zhang

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Stainless Steel ◽

Constitutive Model ◽

Hot Deformation ◽

Constitutive Relationship ◽

316Ln Stainless Steel ◽

Artificial Neural ◽

Relationship Of

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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 ◽

Cited By ~ 14

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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Modeling Constitutive Relationship of Ti-555211 Alloy by Artificial Neural Network during High-Temperature Deformation

Rare Metal Materials and Engineering ◽

10.1016/s1875-5372(15)30013-8 ◽

2015 ◽

Vol 44 (1) ◽

pp. 62-66 ◽

Cited By ~ 5

Author(s):

An Zhen ◽

Li Jinshan ◽

Feng Yong ◽

Liu Xianghong ◽

Du Yuxuan ◽

...

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

High Temperature ◽

Constitutive Relationship ◽

High Temperature Deformation ◽

Temperature Deformation ◽

Artificial Neural ◽

Relationship Of

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Modeling of catalyst composition–activity relationship of supported catalysts in NH3–NO-SCR process using artificial neural network

Neural Computing and Applications ◽

10.1007/s00521-014-1781-z ◽

2015 ◽

Vol 26 (7) ◽

pp. 1515-1523 ◽

Cited By ~ 15

Author(s):

Parvaneh Nakhostin Panahi ◽

Aligholi Niaei ◽

Hui-Hsin Tseng ◽

Darush Salari ◽

Seyed Mahdi Mousavi

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Supported Catalysts ◽

Activity Relationship ◽

Catalyst Composition ◽

Artificial Neural ◽

Relationship Of ◽

No Scr

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Acquiring the constitutive relationship for a thermal viscoplastic material using an artificial neural network

Journal of Materials Processing Technology ◽

10.1016/0924-0136(95)02229-5 ◽

1996 ◽

Vol 62 (1-3) ◽

pp. 206-210 ◽

Cited By ~ 16

Author(s):

Liu Qingbin ◽

Ji Zhong ◽

Liu Mabao ◽

Wu Shichun

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Constitutive Relationship ◽

Viscoplastic Material ◽

Artificial Neural

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Constitutive relationship model of TC21 alloy based on artificial neural network

Transactions of Nonferrous Metals Society of China ◽

10.1016/s1003-6326(13)62658-8 ◽

2013 ◽

Vol 23 (6) ◽

pp. 1761-1765 ◽

Cited By ~ 15

Author(s):

La-feng GUO ◽

Bao-cheng LI ◽

Zhi-min ZHANG

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Constitutive Relationship ◽

Relationship Model ◽

Artificial Neural

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Artificial neural network application on microstructure–compressive strength relationship of cement mortar

Advances in Engineering Software ◽

10.1016/j.advengsoft.2009.09.004 ◽

2010 ◽

Vol 41 (2) ◽

pp. 165-169 ◽

Cited By ~ 22

Author(s):

Okan Onal ◽

Ali Ugur Ozturk

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Compressive Strength ◽

Cement Mortar ◽

Network Application ◽

Artificial Neural ◽

Relationship Of ◽

Strength Relationship

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Relationship of permeability, porosity and depth using an artificial neural network

Journal of Petroleum Science and Engineering ◽

10.1016/s0920-4105(00)00037-1 ◽

2000 ◽

Vol 26 (1-4) ◽

pp. 235-239 ◽

Cited By ~ 29

Author(s):

M Jamialahmadi ◽

F.G Javadpour

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Artificial Neural ◽

Relationship Of

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