NDE for Additive Manufacturing

Research output: Contribution to book/Conference proceedings/Anthology/ReportChapter in book/Anthology/ReportContributedpeer-review

Contributors

  • Julius Hendl - , Chair of Materials Technology, Fraunhofer Institute for Material and Beam Technology (Author)
  • Axel Marquardt - , Chair of Materials Technology, Fraunhofer Institute for Material and Beam Technology (Author)
  • Robin Willner - , Fraunhofer Institute for Material and Beam Technology (Author)
  • Elena Lopez - , Fraunhofer Institute for Material and Beam Technology (Author)
  • Frank Brueckner - , Fraunhofer Institute for Material and Beam Technology, Luleå University of Technology (Author)
  • Christoph Leyens - , Chair of Materials Technology, Fraunhofer Institute for Material and Beam Technology (Author)

Abstract

By means of additive manufacturing (AM) complex-shaped parts can be manufactured using a broad range of different materials. The latter can be supplied in the form of powder, wire, paste material, or even as foil. Various technologies are covered by the term “Additive Manufacturing, " for example, direct energy deposition (DED), laser powder bed fusion (LPBF), fused filament fabrication (FFF), or binder jetting printing (BJP). In all varieties, parts are manufactured layer by layer which results in changed material properties compared to conventional manufacturing routes, for example, mechanical properties or fatigue life. To reach a conformal material deposition without defects such as lack of fusion, delamination or cracking, an optimal process window with well-chosen parameters (e.g., beam power, spot size, scanning speed) has to be identified. For nondestructive evaluation (NDE), different approaches can be used to classify AM manufactured parts regarding their defect structure and consequentially their performance: 1. Process optimization and understanding of defect formation in order to prevent defects 2. In situ measurements by a variety of integrated sensors and (IR) cameras for direct process observations 3. Post-processing NDE methods such as ultrasonic testing, X-ray, or computer tomography (CT) If the three approaches are simultaneously executed, a prediction of the effect of defects can be made for certain cases.

Details

Original languageEnglish
Title of host publicationHandbook of Nondestructive Evaluation 4.0
PublisherSpringer International Publishing
Pages665-696
Number of pages32
ISBN (electronic)978-3-030-73206-6
ISBN (print)978-3-030-73205-9
Publication statusPublished - 1 Jan 2022
Peer-reviewedYes

External IDs

ORCID /0000-0001-8126-8532/work/173053192

Keywords

Keywords

  • Additive manufacturing (AM), Effect of defects, In situ investigation, Nondestructive evaluation, Process-structureproperty relationship, Topology-optimized design