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SUMMARY:Data Constrained Modelling with multi-energy X-ray computed microt
 omography to evaluate the porosity of plasma sprayed ceramic coatings
DTSTART;VALUE=DATE-TIME:20211125T071000Z
DTEND;VALUE=DATE-TIME:20211125T071100Z
DTSTAMP;VALUE=DATE-TIME:20260306T090432Z
UID:indico-contribution-4230@events01.synchrotron.org.au
DESCRIPTION:Speakers: Bruno Kahl (Swinburne University of Technology)\nCoa
 tings of the materials zirconium boride (ZrB2) and hydroxyapatite (HAp) un
 derwent X-ray micro-Computed Tomography (X-ray μ-CT) scanning at the Aust
 ralian Synchrotron. The Data Constrained Modelling (DCM) approach was used
  to reconstruct 3D models and assess porosity and void distributions. The 
 results from the 3D analysis were compared to a 2D porosity and void distr
 ibution assessment\, determined from image analysis of the coatings. It wa
 s found that the 3D and 2D porosity quantifications were in moderate to go
 od agreement. The 3D porosity determined from the ZrB2-1 model\, 24.7%\, w
 as within the range determined from 2D analysis\, 22.1 ± 2.6%. Alternativ
 ely\, the 3D porosity determined from the HAp-1 model\, 22.8%\, was margin
 ally greater than the determined 2D porosity\, 19.8 ± 2.1%. However\, a c
 omparison of the 2D and 3D void distributions revealed that a 2D assessmen
 t poorly predicts the 3D microstructure of coatings and cannot be used to 
 infer properties strongly dependent on the 3D void network. Furthermore\, 
 the 3D analysis demonstrated the deficiencies in typical CT segmentation m
 ethods applied to data with a moderate CT resolution size of 5.4 μm. The 
 DCM methodology can quantify fine-structure details below the resolution o
 f the performed CT and thus assess the multi-scale porosity and void netwo
 rks within atmospheric plasma spray (APS) deposited coatings. The superior
  DCM approach enabled the quantification of pores below the CT resolution 
 limit and revealed that approximately 91.5% and 81.0% of the ZrB2-1 model 
 and the HAp-1 models\, respectively\, would not have been accurately model
 led using typical CT segmentation methods.\n\nhttps://events01.synchrotron
 .org.au/event/146/contributions/4230/
LOCATION:Online
URL:https://events01.synchrotron.org.au/event/146/contributions/4230/
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