4D characterisation of void nucleation, void growth and void coalescence using advanced void tracking algorithm on in situ X-ray tomographic data. (August 2022)

• Record Type: Journal Article
• Authors: Azman, M.A.; Le Bourlot, C.; King, A.; Fabrègue, D.; Maire, E.
• Is Part Of: Materials today communications. Volume 32(2022)
• Publication Date: 2022-08
• Subjects: Ductile damage -- Automatic cavity tracking -- X-ray tomography -- Void nucleation -- Void growth -- Void coalescence; Materials science -- Periodicals; 620.11
• DOI: 10.1016/j.mtcomm.2022.103892
• Languages: English
• ISSNs: 2352-4928

Abstract

Abstract: An advanced tracking algorithm based upon 4D X-ray tomographic data was developed to enable a more robust and full field approach to ductile damage characterisation. By following each individual void, the three ductile damage mechanisms (void nucleation, void growth and void coalescence) could be separated and be studied in more detail, with enriched 4D information available for each of the three damage mechanisms. Here, a successful application of the developed tracking algorithm on a pure iron sample is presented. Two different notch geometries were chosen for the demonstration of analysis technique to further study the influence of triaxiality on ductile damage. Graphical abstract: Highlights: Cavity tracking allows a robust and full-field approach for ductile damage characterisation. Enriched 4D information of void nucleation, growth and coalescence is available. Stress triaxiality has an effect on the nucleation, growth and coalescence of voids.