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Using laser ultrasound to detect sub-surface defects in metal laser powder bed fusion components

Everton, Sarah K.; Dickens, Phill; Tuck, Christopher; Dutton, Ben

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Authors

Sarah K. Everton

Phill Dickens

CHRISTOPHER TUCK CHRISTOPHER.TUCK@NOTTINGHAM.AC.UK
Professor of Materials Engineering

Ben Dutton



Abstract

Laser powder bed fusion offers many advantages over conventional manufacturing methods, such as the integration of multiple parts which can result in significant weight-savings. The increased design freedom that layer-wise manufacture allows has also been seen to enhance component performance at little or no added cost. However, for such benefits to be realised, the material quality must first be assured. Laser ultrasonic testing is a non-contact inspection technique which has been proposed as suitable for in-situ monitoring of metal additive manufacturing processes. This paper explores the current capability of this technique to detect manufactured, sub-surface defects in Ti-6Al-4V samples, ex-situ. The results are compared with x-ray computed tomography reconstructions and focus variation microscopy. Whilst laser ultrasound has been used to identify material discontinuities, further work is required before this technique could be implemented in-situ.

Citation

Everton, S. K., Dickens, P., Tuck, C., & Dutton, B. (in press). Using laser ultrasound to detect sub-surface defects in metal laser powder bed fusion components. JOM Journal of the Minerals, Metals and Materials Society, https://doi.org/10.1007/s11837-017-2661-7

Journal Article Type Article
Acceptance Date Nov 1, 2017
Online Publication Date Nov 16, 2017
Deposit Date Nov 9, 2017
Publicly Available Date Nov 16, 2017
Journal JOM: the Journal of The Minerals, Metals & Materials Society
Print ISSN 1047-4838
Electronic ISSN 1543-1851
Publisher Springer Verlag
Peer Reviewed Peer Reviewed
DOI https://doi.org/10.1007/s11837-017-2661-7
Public URL https://nottingham-repository.worktribe.com/output/895223
Publisher URL https://link.springer.com/article/10.1007%2Fs11837-017-2661-7

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