Prediction of influence parameters on the hot rolling process using finite element method and neural network

Journal of Materials Processing Technology

Volumn 209, Issue 4, 2009, Pages 1920-1935

  Shahani, A R ^a   Setayeshi, S ^b   Nodamaie, S A ^a   Asadi, M A ^c   Rezaie, S ^c  

^a K N TOOSI UNIVERSITY OF TECHNOLOGY   (Iran)

^b AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

^c ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

Back propagation; Finite element simulation; Hot rolling process; Neural networks; Perzyna constitutive equation; Sequential coupling; Thermo viscoplastic deformation

Indexed keywords

ALUMINA; ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; CONSTITUTIVE EQUATIONS; DEFORMATION; FINITE ELEMENT METHOD; FRICTION; HOT ROLLING MILLS; HOT WORKING; METAL WORKING; NEURAL NETWORKS; STRAIN; STRAIN RATE;

FINITE ELEMENT SIMULATION; HOT ROLLING PROCESS; PERZYNA CONSTITUTIVE EQUATION; SEQUENTIAL COUPLING; THERMO-VISCOPLASTIC DEFORMATION;

HOT ROLLING;

EID: 58649098750     PISSN: 09240136     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jmatprotec.2008.04.055     Document Type: Article

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