Correlative Tomography for micro- and nano- scale defects reduction analysis in Additive Manufactured healable aluminium alloy

Gheysen, Julie;Bartlomiej Winiarski;Chirazi, Ali;Brinek, Adam;Simar, Aude;et.al.
(2022) iCT2022, 11th Conference on Industrial Computed Tomography — Location: online (8.February.2022)

Files

iCT2022_abstract_GPyka.pdf
  • Open Access
  • Adobe PDF
  • 223.53 KB

Details

Authors
  • Gheysen, Julieorcid-logoUCLouvain
    Author
  • Bartlomiej WiniarskiThermoFisher Scientific, Czech Republic
    Author
  • Chirazi, AliThermoFisher Scientific, Bordeaux, France
    Author
  • Brinek, AdamCentral European Institute of Technology, Czech Republic
    Author
  • Author
  • Simar, Audeorcid-logoUCLouvain
    Author
Show more
Abstract
Designing self-healing metals is challenging because it requires high temperature conditions which can trigger the diffusion and/or local melting process of the healing agent. Proper understanding of the healing mechanism, followed by the healing treatment optimisation depends on a successful microstructural analysis performed at the exact location of a damage. Therefore, a multiresolution and multimodal imaging approach with a spatial resolution from micro- to nano- scale is required to evidence the microstructure healing efficiency.
Affiliations

Citations

Gheysen, J., Bartlomiej Winiarski, Chirazi, A., Brinek, A., Pyka, G., & Simar, A. (2022). Correlative Tomography for micro- and nano- scale defects reduction analysis in Additive Manufactured healable aluminium alloy. iCT2022, 11th Conference on Industrial Computed Tomography, online. https://hdl.handle.net/2078.5/109211