<em>data-constrained modelling and quantitative X-ray CT characterization of 3D-printed stainless steel</em> — ICTMS Committee Dep of Applied Maths Australian National University
  1. Schedule
  2. Theme 2: Structure-property relationship of 3D micro-structured materials
  3. data-constrained modelling and quantitative X-ray CT characterization of 3D-printed stainless steel

data-constrained modelling and quantitative X-ray CT characterization of 3D-printed stainless steel (105)

Anthony Murphy 1 , Sam Yang 1 , Majid Laleh 2 , Jianli Li 3 , Haipeng Wang 3 , Clement Chu 1 , Wei Xu 4
  1. CSIRO, Clayton, VIC, Australia
  2. Deakin University, Geelong, Victoria, Australia
  3. Shanxi University, Taiyuan, Shanxi, PR China
  4. Deakin University, Burwood, Victoria, Australia

By integrating statistical physics and quantitative X-ray CT imaging, the data-constrained modelling (DCM) approach proves to be an effective post-CT analysis technique capable of non-destructive characterization of internal void and oxide distributions in 3D-printed metal samples. Internal pores and oxides distribution of 3D-printed 316L stainless steel samples were characterized with the above approach.

 

 

 

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