Artificial neural network modeling of composition-process-property correlations in austenitic stainless steels

Materials Science and Engineering: A

Volumn 485, Issue 1-2, 2008, Pages 571-580

  Mandal, Sumantra ^a   Sivaprasad, P V ^a   Venugopal, S ^a   Murthy, K P N ^b   Raj, Baldev ^a  

^a INDIRA GANDHI CENTRE FOR ATOMIC RESEARCH   (India)

^b UNIVERSITY OF HYDERABAD   (India)

Author keywords

Artificial neural network; Austenitic stainless steels; Black box; Constitutive flow behavior; Microstructure; Tensile property

Indexed keywords

COMPUTER SIMULATION; DYNAMIC RECRYSTALLIZATION; FEEDFORWARD NEURAL NETWORKS; HOT PRESSING; MICROSTRUCTURAL EVOLUTION; MULTILAYER NEURAL NETWORKS; PLASTIC FLOW; STRAIN RATE; STRUCTURE (COMPOSITION); TENSILE PROPERTIES; TORSIONAL STRESS;

CHEMICAL COMPOSITION; CONSTITUTIVE FLOW BEHAVIOR;

AUSTENITIC STAINLESS STEEL;

AUSTENITIC STAINLESS STEEL; COMPUTER SIMULATION; DYNAMIC RECRYSTALLIZATION; FEEDFORWARD NEURAL NETWORKS; HOT PRESSING; MICROSTRUCTURAL EVOLUTION; MULTILAYER NEURAL NETWORKS; PLASTIC FLOW; STRAIN RATE; STRUCTURE (COMPOSITION); TENSILE PROPERTIES; TORSIONAL STRESS;

EID: 42149106914     PISSN: 09215093     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.msea.2007.08.019     Document Type: Article

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