A neural network model to predict low cycle fatigue life of nitrogen-alloyed 316L stainless steel

Materials Science and Engineering: A

Volumn 474, Issue 1-2, 2008, Pages 247-253

  Mathew, M D ^a   Kim, Dae Whan ^b   Ryu, Woo Seog ^b  

^a INDIRA GANDHI CENTRE FOR ATOMIC RESEARCH   (India)

^b Korea Atomic Energy Research Institute   (South Korea)

Author keywords

316 SS; Low cycle fatigue life; Modeling; Neural network

Indexed keywords

FATIGUE OF MATERIALS; FATIGUE TESTING; MATHEMATICAL MODELS; NEURAL NETWORKS; NITROGEN; STRAIN RATE;

LOW CYCLE FATIGUE LIFE; NEURAL NETWORK MODEL; NITROGEN-ALLOYED STAINLESS STEEL;

STAINLESS STEEL;

FATIGUE OF MATERIALS; FATIGUE TESTING; MATHEMATICAL MODELS; NEURAL NETWORKS; NITROGEN; STAINLESS STEEL; STRAIN RATE;

EID: 37749028786     PISSN: 09215093     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.msea.2007.04.018     Document Type: Article

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