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http://nopr.niscpr.res.in/handle/123456789/28784| Title: | A comparative study of fatigue life prediction of 7020 Al-alloy under load ratio effect |
| Authors: | Mohanty, J R Das, H C Mohanty, A C |
| Keywords: | Exponential model;Fatigue crack growth;Load ratio;ANN;ANFIS |
| Issue Date: | Apr-2014 |
| Publisher: | NISCAIR-CSIR, India |
| Abstract: | Most of engineering structures and components come across complicated fatigue loading during their service lives. From economical point of view it is essential to predict residual life in order to avoid catastrophic failure by scheduling suitable inspection intervals. In the present investigation, fatigue life of 7020 T7 Al alloy under constant amplitude loading with load ratio effects has been predicted by adopting an ‘Exponential Model’. The performance of the proposed model has been compared with artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS). It is observed that the fatigue life predicted by exponential model is comparatively better with maximum percentage deviation of -0.65% in comparison to ANN and ANFIS which are -4.37% and -2.48% respectively. |
| Page(s): | 179-188 |
| ISSN: | 0975-1017 (Online); 0971-4588 (Print) |
| Appears in Collections: | IJEMS Vol.21(2) [April 2014] |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| IJEMS 21(2) 179-188.pdf | 334.98 kB | Adobe PDF | View/Open |
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