The Use of ANN to Predict the Hot Deformation Behavior of AA7075 at Low Strain Rates
- Author
- JENAB, A1 ; TAHERI, A. Karimi1 ; JENAB, K2
[1] Department of Materials Science and Engineering, Sharif University of Technology, P.O. Box 11155-9466, Tehran, Iran, Islamic Republic of
[2] Educational Chair, Society of Reliability Engineering, Ottawa, Canada - Source
Journal of materials engineering and performance. 2013, Vol 22, Num 3, pp 903-910, 8 p ; ref : 29 ref
- ISSN
- 1059-9495
- Scientific domain
- Metallurgy, welding
- Publisher
- Springer, New York, NY
- Publication country
- United States
- Document type
- Article
- Language
- English
- Author keyword
- 7075 aluminum alloy artificial neural network flow stress hot deformation
- Keyword (fr)
- Alliage base aluminium Contrainte écoulement Déformation à chaud Ecoulement plastique Equation constitutive Essai compression Loi puissance Réseau neuronal Vitesse déformation
- Keyword (en)
- Aluminium base alloys Flow stress Hot deformation Plastic flow Constitutive equation Compression test Power law Neural network Strain rate
- Keyword (es)
- Tensión flujo Deformación en caliente Flujo plástico Ecuación constitutiva Ensayo compresión Ley poder Red neuronal Velocidad deformación
- Keyword (de)
- Fliessspannung Warmverformung Plastisches Fliessen Druckversuch Verformungsgeschwindigkeit
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D11 Metals. Metallurgy / 001D11G Mechanical properties and methods of testing. Rheology. Fracture mechanics. Tribology / 001D11G01 Elasticity. Plasticity
- Discipline
- Metals. Metallurgy
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 27212413
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1007/s11665-012-0332-y 
https://dx.doi.org/10.1007/s11665-012-0332-y
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