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A spatial-temporal method for early prediction of fatigue crack region and orientation in metallic cellular materials using in-situ infrared thermography (IRT)

Authors :
Tyler D. Smith
Chad Westover
Matthew D'Souza
Shenghan Guo
Dhruv Bhate
Source :
Additive Manufacturing Letters, Vol 11, Iss , Pp 100258- (2024)
Publication Year :
2024
Publisher :
Elsevier, 2024.

Abstract

This study seeks an early prediction method of crack failure location and orientation due to low cycle fatigue in additively manufactured metallic cellular materials by leveraging experimentally observed accumulation of plastic deformation. To study this, a novel spatial-temporal approach for analyzing Infrared Thermographic (IRT) video was developed to detect heat generated by local plastic deformation. The method was validated experimentally by conducting fully reversed low cycle fatigue tests of Inconel 718 (IN718) honeycomb specimens manufactured using Laser Powder Bed Fusion (LPBF). Using the approach developed, results showed that localized heating due to plastic work could be detected and used for early prediction of the most probable path, and orientation of crack propagation. Furthermore, the method developed was found to be able to predict these results within the first 1.5 % of the total life of the specimen apriori to crack initiation.

Details

Language :
English
ISSN :
27723690
Volume :
11
Issue :
100258-
Database :
Directory of Open Access Journals
Journal :
Additive Manufacturing Letters
Publication Type :
Academic Journal
Accession number :
edsdoj.5cd64b7d634d425f90a43ff20fa108fc
Document Type :
article
Full Text :
https://doi.org/10.1016/j.addlet.2024.100258