24-26 November 2021
Online
Australia/Sydney timezone

Data Constrained Modelling with multi-energy X-ray computed microtomography to evaluate the porosity of plasma sprayed ceramic coatings

25 Nov 2021, 18:10
1m
Online

Online

Poster Manufacturing & Engineering Poster Session

Speaker

Mr Bruno Kahl (Swinburne University of Technology)

Description

Coatings of the materials zirconium boride (ZrB2) and hydroxyapatite (HAp) underwent X-ray micro-Computed Tomography (X-ray μ-CT) scanning at the Australian 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 distribution assessment, determined from image analysis of the coatings. It was found that the 3D and 2D porosity quantifications were in moderate to good agreement. The 3D porosity determined from the ZrB2-1 model, 24.7%, was within the range determined from 2D analysis, 22.1 ± 2.6%. Alternatively, the 3D porosity determined from the HAp-1 model, 22.8%, was marginally greater than the determined 2D porosity, 19.8 ± 2.1%. However, a comparison of the 2D and 3D void distributions revealed that a 2D assessment 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 methods applied to data with a moderate CT resolution size of 5.4 μm. The DCM methodology can quantify fine-structure details below the resolution of the performed CT and thus assess the multi-scale porosity and void networks 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 modelled using typical CT segmentation methods.

Pronouns He/Him
Do you wish to take part in the Student Poster Slam Yes
Which facility did you use for your research Australian Synchrotron
Presenter Gender Man
Level of Expertise Student
Condition of submission Yes
Students Only - Are you interested in AINSE student funding Yes

Primary author

Mr Bruno Kahl (Swinburne University of Technology)

Co-authors

Dr Sam Yang (CSIRO Manufacturing) Prof. Christopher Berndt (Swinburne University of Technology) Dr Andrew Ang (Swinburne University of Technology)

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