Issue |
Metall. Res. Technol.
Volume 114, Number 5, 2017
|
|
---|---|---|
Article Number | 505 | |
Number of page(s) | 13 | |
DOI | https://doi.org/10.1051/metal/2017045 | |
Published online | 04 August 2017 |
Regular Article
Fatigue limit assessment for defective materials based on affected depth
1
LGM, ENIM, Université de Monastir,
Avenue Ibn Eljazzar,
5019
Monastir, Tunisia
2
IPEIM, Université de Monastir,
Avenue Ibn Eljazzar,
5019
Monastir, Tunisia
3
LMS, ENISO, Université de Sousse,
Bp. 264 Erriadh,
4023
Sousse, Tunisia
* E-mail: anouar.nasr@hotmail.fr
Received:
18
January
2017
Received in final form:
10
April
2017
Accepted:
8
June
2017
In this study, a new fatigue limit assessment of defective materials submitted to acyclic loading is presented. This assessment is based on the analysis of the stress distribution in the vicinity of the defect. The defect shapes are reduced to a semi-spherical or semi-elliptical void at the surface of a sample subjected to a fatigue loading. The Finite Element (FE) solutions are generated to assess the stress field around the defect. The Crossland equivalent stress is used to analyse the stress distribution close to the defect. From this analysis, an affected depth is defined as the depth from the tip of the defect to the interior of the sample in which the Crossland criterion is violated. For a load close to the fatigue limit and for each defect size, we find that the affected depth is almost constant.
Using the concept of the affected depth, a fatigue limit assessment model dedicated for defective material is proposed. This model is applied for two defective materials under different loading paths. Results are in good agreement with the experimental investigations and confirm that the proposed parameter − affected depth– can properly characterise the influence of the shape and the size of the defect on the fatigue behaviour under different loading paths.
Key words: fatigue / defects / affected depth / HCF criterion
© EDP Sciences, 2017
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.