PSI - Issue 38

Alexander Raßloff et al. / Procedia Structural Integrity 38 (2022) 4–11 A. Raßlo ff et al. / Structural Integrity Procedia 00 (2021) 000–000

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descriptors based on statistical functions, (d) conducting CP simulations to compute FIPs and (e) post processing the results using extreme value distributions. Although substantial computational and experimental e ff ort is needed, the approach is promising for accessing PSP relationships. A first demonstrative study shows that local phenomena seem to significantly influence the fatigue behaviour. Even simple descriptors like the distribution of the pore ESDs and the shortest distance between pores are potentially influential. Experimental fatigue tests are planned and necessary to validate the findings. Improving this first implementation of the workflow in terms of microstructure characterisation and reconstruction, e.g. by employing the approach by Seibert et al. (2021) and using a closed design of experiment loop will open up promising possibilities for deriving PSP relationships and accelerating materials innovation. Patterns yielding to fatigue failure could be identified by a more detailed analysis based on more sophisticated descriptors. Deliberately constructing microstructure constellations, like clusters of densely located large pores at triple grain boundaries, could yield an improved understanding of fatigue failure in AM materials. Combining the CP simulations with damage modelling seems another promising approach for improving the framework.

Acknowledgements

This research is funded by the European Regional Development Fund (ERDF) and co-financed by tax funds based on the budget approved by the members of the Saxon State Parliament under Grants 100373334. The authors are grateful to the Centre for Information Services and High Performance Computing [Zentrum fu¨r Informationsdienste und Hochleistungsrechnen (ZIH)] TU Dresden for providing its facilities for high throughput calculations. The au thors gratefully acknowledge Paul Seibert’s support on microstructure reconstruction and Martin Diehl’s support on DAMASK.

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