Journal
INTERNATIONAL JOURNAL OF FATIGUE
Volume 25, Issue 12, Pages 1327-1338Publisher
ELSEVIER SCI LTD
DOI: 10.1016/S0142-1123(03)00064-1
Keywords
dynamic strain ageing; recovery; creep; oxidation; neuron; multilayer perceptron; life prediction
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Low cycle fatigue (LCF) behavior of solutionized 316L(N) stainless steel (SS) has been studied at various temperatures, strain amplitudes, strain rates, hold times and in 20% prior cold worked condition. The alloy in general showed a reduction in fatigue life with, increase in temperature, increase in strain amplitude, decrease in strain rate, an increase in duration of hold time in tension and with prior cold work. The LCF and creep-fatigue interaction (CFI) behavior of the alloy was explained on the basis of several operative mechanisms such as dynamic strain ageing, creep, oxidation and substructural recovery. The capability of artificial neural network (ANN) approach to life prediction under LCF and CH conditions has been assessed by using the data generated in the present investigation. It is demonstrated that the prediction is within a factor of 2. (C) 2003 Elsevier Ltd. All rights reserved.
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