Issue |
MATEC Web Conf.
Volume 165, 2018
12th International Fatigue Congress (FATIGUE 2018)
|
|
---|---|---|
Article Number | 10010 | |
Number of page(s) | 6 | |
Section | Fatigue of Structures / Vibrations / in Service Fatigue Failures | |
DOI | https://doi.org/10.1051/matecconf/201816510010 | |
Published online | 25 May 2018 |
Fatigue design of cast iron components with surface discontinuities
1
TU Budapest, Department of Machine and Product Design, Műegyetem rkp. 3, Budapest 1111, Hungary
2
Institut Pprime, CNRS, ISAE-ENSMA, Université de Poitiers, Téléport 2, 1 Avenue Clément Ader, 86961 Futuroscope Chasseneuil Cedex, France
* Corresponding author: groza.marton@gt3.bme.hu
Surface discontinuities are unavoidable properties of production castings, and have fundamental effect on in-service reliability. In the current study a multiaxial probabilistic fatigue analysis model has been developed for the description of local (e.g.: notches or surface defects) and structural gradient (e.g: bending) effects on crack initiation life. Identification of the model parameters and the validation has been done on the ferrite-pearlitic NCI grade EN GJS 500-7. The survival probability type simulation results are proven to be highly accurate with 5% average, and 11% maximum prediction error. In theory, the model might be able to assess the effect of arbitrarily complex defects on the fatigue strength, which is to be investigated in the future.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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.