Sarah K. Everton
Using laser ultrasound to detect sub-surface defects in metal laser powder bed fusion components
Everton, Sarah K.; Dickens, Phill; Tuck, Christopher; Dutton, Ben
Authors
Phill Dickens
Professor CHRISTOPHER TUCK CHRISTOPHER.TUCK@NOTTINGHAM.AC.UK
PRO-VICE CHANCELLOR FACULTY OF 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 |
Contract Date | Nov 9, 2017 |
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Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by/4.0
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