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Targeted rework strategies for powder bed additive manufacture

Hirsch, M.; Dryburgh, Paul; Catchpole-Smith, Sam; Patel, R.; Parry, Luke; Sharples, S.D.; Ashcroft, I.A.; Clare, A.T.

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Authors

M. Hirsch

Paul Dryburgh

Sam Catchpole-Smith

Luke Parry

S.D. Sharples

IAN ASHCROFT IAN.ASHCROFT@NOTTINGHAM.AC.UK
Professor of Mechanics of Solids

ADAM CLARE adam.clare@nottingham.ac.uk
Professor of Manufacturing Engineering



Abstract

A major factor limiting the adoption of powder-bed-fusion additive manufacturing for production of parts is the control of build process defects and the effect these have upon the certification of parts for structural applications. In response to this, new methods for detecting defects and to monitor process performance are being developed. However, effective utilisation of such methods to rework parts in process has yet to be demonstrated.

This study investigates the use of spatially resolved acoustic spectroscopy (SRAS) scan data to inform repair strategies within a commercial selective laser melting machine. New methodologies which allow for rework of the most common defects observed in selective laser melting (SLM) manufacturing are proposed and demonstrated. Three rework methodologies are applied to targeted surface breaking pores: a hatch pattern, a spiral pattern and a single shot exposure. The work presented shows that it is possible to correct surface breaking pores using targeted re-melting, reducing the depth of defects whilst minimising changes in local texture. For the hatch rework and spiral rework, a reduction in defect depth of 50% and 31% were observed, respectively, however, no improvement was seen after the single shot exposures. This work is part of a programme to develop a method by which defects can be detected and the part reworked in-process during SLM to enable defect specification targets to be met. Although further work in developing build-characterise-rework strategies for integrated and targeted defect correction is needed, the feasibility of the underlying method of identifying and selectively reworking to reduce a defect has now been demonstrated for the first time.

Journal Article Type Article
Acceptance Date Nov 21, 2017
Online Publication Date Nov 23, 2017
Publication Date Jan 31, 2018
Deposit Date Oct 23, 2018
Publicly Available Date Nov 24, 2018
Journal Additive Manufacturing
Print ISSN 2214-7810
Electronic ISSN 2214-8604
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 19
Pages 127-133
Series ISSN 2214-8604
DOI https://doi.org/10.1016/j.addma.2017.11.011
Keywords Non-destructive evaluation; Additive manufacture; Selective rework; Selective laser melting
Public URL https://nottingham-repository.worktribe.com/output/1183541
Publisher URL https://www.sciencedirect.com/science/article/pii/S2214860417303925

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