Prediction of flow stress in dynamic strain aging regime of austenitic stainless steel 316 using artificial neural network

Materials and Design

Volumn 35, Issue , 2012, Pages 589-595

  Gupta, Amit Kumar ^a   Singh, Swadesh Kumar ^b   Reddy, Swathi ^c   Hariharan, Gokul ^d  

^a BIRLA INSTITUTE OF TECHNOLOGY AND SCIENCE   (India)

^b GOKARAJU RANGARAJU INSTITUTE OF ENGINEERING AND TECHNOLOGY   (India)

^c UNIVERSITY OF NEW SOUTH WALES   (Australia)

^d NATIONAL INSTITUTE OF TECHNOLOGY   (India)

Author keywords

A. Ferrous metals and alloys; E. Mechanical; F. Plastic behavior

Indexed keywords

BACK PROPAGATION NEURAL NETWORKS; CORRELATION COEFFICIENT; DYNAMIC STRAIN AGING; E. MECHANICAL; EXPERIMENTAL DATA; EXPERIMENTAL VALUES; F. PLASTIC BEHAVIOR; FERROUS METALS AND ALLOYS; FLOW STRESS BEHAVIOR; INPUT VARIABLES; NON-LINEAR RELATIONSHIPS; PERCENTAGE ERROR; SEMIEMPIRICAL MODELS; SERRATED FLOW; TESTING DATA; TRAINING DATA;

AUSTENITIC STAINLESS STEEL; FORECASTING; NEURAL NETWORKS; PLASTIC FLOW; TENSILE TESTING;

STRAIN RATE;

EID: 80155167207     PISSN: 02641275     EISSN: 18734197     Source Type: Journal    
DOI: 10.1016/j.matdes.2011.09.060     Document Type: Article

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