Srinivasan, V. S. ; Nagesha, A. ; Valsan, M. ; Rao, Bhanu Sankara K. ; Mannan, S. L. ; Raj, Baldev (2005) Artificial neural network approch to low cycle fatigue and creep-fatigue interaction life prediction of modified 9Cr-1Mo ferritic steel Transactions of the Indian Institute of Metals, 58 (2-3). pp. 261-267. ISSN 0972-2815
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Abstract
Low cycle fatigue (LCF) behaviour of normalized and tempered modified 9Cr-1Mo steel has been studied at various temperatures, strain amplitudes, increase in strain amplitude, decrease in strain rate and with an increase in the duration of hold time in tension. The capability of artificial neural network (ANN) approach of life prediction under LCF and creep-fatigue interaction conditions has been assessed by using the data from National Institute of Materials Science, Japan and that generated in our laboratory. It is demonstrated that the predictions are well within a factor of two.
| Item Type: | Article |
|---|---|
| Source: | Copyright of this article belongs to Indian Institute of Metals. |
| ID Code: | 98021 |
| Deposited On: | 27 Jan 2014 05:21 |
| Last Modified: | 27 Jan 2014 05:21 |
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