Statistical distributions of morphologically classified defects in metal additive manufacturing with implications for fatigue life prediction

Serjouei, A ORCID logoORCID: https://orcid.org/0000-0002-7250-4131 and Shahtahmassebi, G ORCID logoORCID: https://orcid.org/0000-0002-0630-2750, 2025. Statistical distributions of morphologically classified defects in metal additive manufacturing with implications for fatigue life prediction. Advanced Engineering Materials. ISSN 1438-1656

Full text not available from this repository.
Item Type: Journal article
Publication Title: Advanced Engineering Materials
Creators: Serjouei, A. and Shahtahmassebi, G.
Publisher: Wiley
Date: 1 July 2025
ISSN: 1438-1656
Identifiers:
Number
Type
10.1002/adem.202402848
DOI
2464146
Other
Divisions: Schools > School of Science and Technology
Record created by: Laura Borcherds
Date Added: 05 Aug 2025 13:02
Last Modified: 05 Aug 2025 13:02
URI: https://irep.ntu.ac.uk/id/eprint/54118

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