XRCT characterisation of Ti particles inside porous Al₂O₃

Vasić, Srdan; Grobéty, Bernard; Kuebler, Jakob; Graule, Thomas; Baumgartner, Lukas

doi:10.1016/j.matchar.2010.03.012

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Journal article

XRCT characterisation of Ti particles inside porous Al₂O₃

Vasić, Srdan Technical Mineralogy Group, Institute of Mineralogy and Petrography, University of Fribourg, Switzerland - Empa, Swiss Federal Laboratories for Materials Testing and Research, Laboratory for High Performance Ceramics, Duebendorf, Switzerland
Grobéty, Bernard Technical Mineralogy Group, Institute of Mineralogy and Petrography, University of Fribourg, Switzerland
Kuebler, Jakob Empa, Swiss Federal Laboratories for Materials Testing and Research, Laboratory for High Performance Ceramics, Duebendorf, Switzerland -
Graule, Thomas Empa, Swiss Federal Laboratories for Materials Testing and Research, Laboratory for High Performance Ceramics, Duebendorf, Switzerland
Baumgartner, Lukas Institute of Mineralogy and Petrography, Earth Science, University of Lausanne, Switzerland

02.04.2010

Published in:

Materials Characterization. - 2010, vol. 61, no. 6, p. 653-660

English Computed X-ray tomography was used to characterise distribution and sphericity of Ti granules within highly porous (> 35%) Al₂O₃ powder compacts, as they are key parameters for a successful infiltration by Fe-based alloys. Setting of reconstruction constraints, image editing as well as data processing are the most challenging parts of computed X-ray tomography and principal sources of errors that bias the generated data. Thus, corrective measures have to be applied and the reliability of generated data has to be proved with respect to statistical, stereological and volumetric aspects. Combining an adapted Interface Particle Treatment Algorithm with the Marching Cube Method, Equilibrium Random State Model, cluster splitting and conventional laser diffraction measurements a significant improvement of the three-dimensional reconstructed data was achieved. This study points out the need of the applied algorithms for the proof and improvement of generated data by computed X-ray tomography and gives a short survey of methods that can be applied.

Faculty

Faculté des sciences et de médecine

Department

Département de Géosciences

Language