An integrated approach for detecting and classifying pores and surface topology for fatigue assessment 316L manufactured by powder bed fusion of metals using a laser beam using μCT and machine learning algorithms

Document type:: Zeitschriftenaufsatz
Author(s):: Diller, Johannes; Siebert, Ludwig; Winkler, Michael; Siebert, Dorina; Blankenhagen, Jakob; Wenzler, David; Radlbeck, Christina; Mensinger, Martin
Title:: An integrated approach for detecting and classifying pores and surface topology for fatigue assessment 316L manufactured by powder bed fusion of metals using a laser beam using μCT and machine learning algorithms
Journal title:: Fatigue & Fracture of Engineering Materials & Structures
Year:: 2024
Fulltext / DOI:: doi:10.1111/ffe.14375
Publisher:: Wiley
E-ISSN:: 8756-758X1460-2695
Date of publication:: 27.06.2024
BibTeX

Occurrences: