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Evaluation of internal defects in additive manufactured metallic network structures by Computed Tomography
Örebro University, School of Science and Technology.ORCID iD: 0000-0003-1408-2249
2018 (English)Conference paper, Published paper (Refereed)
Abstract [en]

The ability to manufacture complex internal features is one of the distinct differentiators of Additive Manufacturing (AM) as compared to other manufacturing methods for metal components. This manufacturing process provide designers with new opportunities in the design, such as e.g. networks and curved and non round cooling channels. To fully take advantage of metal AM in industrial use, robust methods for the detection of potential internal defects is however needed. A method that holds the promise of being one of the few tools for non-destructive evaluation (NDE) of internal features and defects is X-ray computed tomography (CT). The applicability and limitations of CT, especially for defect determination in products with complex internal structures is however not fully understood. In this work, parts with different sizes of controlled internal defects in the form of slots of varying width, 0,1 – 0,4 mm was manufactured by AM, using Selective Laser melting (SLM). The parts were produced in both titanium and aluminium alloys and both with internal networks and as solid pieces. For both of the designed types of samples, containing the pre designed defects, the ability to detect the defects by industrial computed tomography (CT) was evaluated. The evaluation of defects using CT data can be done by a trained operator. For solid components this can be done with some assistance of analysis modes that are available in comersial software. For components with complex internal structures, the result is more operator dependant and more work is needed to develop methods for CT inspection that can enable automation of the inspection process and/or to assist a trained operator.

Place, publisher, year, edition, pages
N D T Internet Publishing , 2018. article id 104
Series
E-Journal of Nondestructive Testing, E-ISSN 1435-4934
Keywords [en]
Selective laser melting, aluminium, titanium, computed tomography
National Category
Other Mechanical Engineering
Identifiers
URN: urn:nbn:se:oru:diva-71470OAI: oai:DiVA.org:oru-71470DiVA, id: diva2:1278772
Conference
8th International Conference in Industrial Computed Tomography (iCT), Wels, Austria, February 6-9, 2018
Available from: 2019-01-15 Created: 2019-01-15 Last updated: 2019-01-21Bibliographically approved

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Evaluation of internal defects in additive manufactured metallic network structures by Computed Tomography

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Pejryd, Lars

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf