Issue |
MATEC Web Conf.
Volume 300, 2019
ICMFF12 - 12th International Conference on Multiaxial Fatigue and Fracture
|
|
---|---|---|
Article Number | 09001 | |
Number of page(s) | 9 | |
Section | Life Assessment | |
DOI | https://doi.org/10.1051/matecconf/201930009001 | |
Published online | 02 December 2019 |
Influence of internal imperfections on the fatigue resistance of cast steel – testing methodology
1
KIT Steel & Lightweight Structures, Karlsruhe, Germany
2
Fraunhofer Institute for Nondestructive Testing IZFP, Saarbrücken, Germany
* Corresponding author: sven.nagel@kit.edu
Tensile fatigue specimen of G20Mn5 and G22NiMoCr5-6 were tested to quantify the influence of internal defects on the fatigue resistance of cast steel components. Defects with varying sizes, geometric shapes and distribution were enforced by influencing the solidification and recorded by computer tomography (CT). Besides the characteristics of the detected cavities, the surrounding fungoid microstructure is classified and evaluated. Later the specimens were tested under cyclic tension and S/N-curves are derived. These data form the basis for extensive numerical simulations of the damage process and the crack growth of every individual specimen. Both processes are affected by the local multiaxial stress states and have their origin in the inside of the specimen. For validation, knowledge of the crack initiation time and propagation properties are essential. Therefore, all specimens respectively the properties of the internal defects are monitored during testing with three different state-of-the-art non-destructive testing (NDT) methods. Background and application of these NDT techniques are described within this paper. Finally, fracture surface analyses show different failure modes and provide further information for model validation.
© The Authors, published by EDP Sciences, 2019
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.
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.