M. N. M., Husnain and M. R. M., Akramin and Z. L., Chuan (2019) Surface crack growth prediction under fatigue load using the S-version Finite Element Model (S-FEM). In: IOP Conference Series: Materials Science and Engineering, 1st International Postgraduate Conference on Mechanical Engineering (IPCME2018) , 31 October 2018 , UMP Library, Pekan. pp. 1-11., 469 (012011). ISSN 1757-899X
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Abstract
Prediction of fatigue crack growth is one of the vital issues to prevent catastrophic failure from damage tolerance perspective. The surface of crack shape usually in semi-elliptical that maintained during the whole propagation. The investigation of this paper is to illustrate the surface crack growth that subjected to fatigue loading. The four-point bending and three-point bending have been simulated by using the S-version Finite Element Model (S-FEM). The simulation is conducted for aluminium alloys A7075-T6 and A2017-T3 with all of the parameters based on the previous experiment. The semi-elliptical crack shape is applied during the simulation process to represent with the reality of crack growth phenomena. Paris’ Law model approach is presented in fatigue crack growth simulation. The S-FEM produced the surface crack growth and fatigue life prediction. The results of the S-FEM prediction then compared with the previous experiments. The results presented in a graph for comparison between S-FEM prediction with the experimental results. The S-FEM results obtained is good agreement with the experiment results.
| Item Type: | Conference or Workshop Item (Lecture) |
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| Uncontrolled Keywords: | S-version Finite Element Model (S-FEM); fatigue crack growth; prediction |
| Subjects: | T Technology > TJ Mechanical engineering and machinery |
| Faculty/Division: | Faculty of Mechanical Engineering Faculty of Industrial Sciences And Technology |
| Depositing User: | Dr. Mohd Akramin Mohd Romlay |
| Date Deposited: | 28 Aug 2019 03:12 |
| Last Modified: | 28 Aug 2019 03:12 |
| URI: | http://umpir.ump.edu.my/id/eprint/25720 |
| Download Statistic: | View Download Statistics |
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