Issue |
MATEC Web of Conferences
Volume 12, 2014
FDMD II - JIP 2014 - Fatigue Design & Material Defects
|
|
---|---|---|
Article Number | 05001 | |
Number of page(s) | 3 | |
Section | Session 5: DVM/SF2M Evaluation of Constructional Manufacturing Defects with Regard to Structural Fatigue | |
DOI | https://doi.org/10.1051/matecconf/20141205001 | |
Published online | 09 June 2014 |
An approach for the fatigue estimation of porous cast iron based on non-destructive testing results
Fraunhofer Institute of Structural Durability and System Reliability LBF, Bartningstraße 47, 64289 Darmstadt, Germany
Big cast iron components made of spheroidal cast iron allow constructing big structures such as stone mills, engine blocks or wind mills with acceptable expenses. Thus, in economically optimized cast processes pores cannot be always prevented in thick walled cast iron components and these components are often rejected because of safety reasons. On the one hand the fatigue performance of high loadable spheroidal cast iron components is reduced significantly by the presence of local porosities which has been pointed out in the past. On the other hand concepts for the fatigue estimation based on fracture mechanics which take the size and localization of the defect into account can lead to erroneous estimations because the defect is modelled as a crack. The challenge of an estimation method is to derive a fatigue life without the necessity to perform component tests. In the contribution an estimation method is presented which is able to determine the fatigue strength of a material volume taking the pores into account. The method can be applied based on data from computer tomographic X-ray (CT) or Sampling Phased Array (SPA) ultrasonic analyses. The method is presented for three spheroidal cast iron types: ferritic GJS-400-18, ferritic GJS-450-15 with high silicon content and perlitic GJS-700-3.
© Owned by the authors, published by EDP Sciences, 2014
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.