Classifying shape of internal pores within AlSi10Mg alloy manufactured by laser powder bed fusion using 3D X-ray micro computed tomography: Influence of processing parameters and heat treatment

James C. Hastie, Mehmet E. Kartal, Luke N. Carter, Moataz M. Attallah, Daniel M. Mulvihill

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)
203 Downloads (Pure)

Abstract

Internal porosity of metallic parts manufactured by laser powder bed fusion (LPBF) is governed by processing parameters including laser power, scanning speed, scan spacing and layer thickness. To fully understand the influence of processing parameters it is important to categorise the shape of process defects (pores) in 3D beyond the degree of sphericity alone. In the present paper, AlSi10Mg samples were manufactured using 30 unique LPBF parameter combinations and analysed using high resolution X-ray micro computed tomography (XμCT). The shapes of individual pores are classified and studied using an approach based on the similarity of 3D pore descriptors with simplified artificial objects. Porosity within high as-fabricated densification builds can be reduced to virtually negligible by hot isostatic pressing (HIPping), which was found to fully or partially close (flatten) pores. Subsequent T6 treatment causes pores to reopen and resemble their original shape. The effects of treatment are sensitive to pore size.
Original languageEnglish
Article number110225
Number of pages14
JournalMaterials Characterization
Volume163
Early online date28 Feb 2020
DOIs
Publication statusPublished - May 2020

Keywords

  • T6 heat treatment
  • X-ray micro computed tomography
  • hot isostatic pressing
  • laser powder bed fusion
  • porosity classification
  • selective laser melting

Fingerprint

Dive into the research topics of 'Classifying shape of internal pores within AlSi10Mg alloy manufactured by laser powder bed fusion using 3D X-ray micro computed tomography: Influence of processing parameters and heat treatment'. Together they form a unique fingerprint.

Cite this