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Three-Dimensional Particle Shape Analysis Using X-ray Computed Tomography: Experimental Procedure and Analysis Algorithms for Metal Powders

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Multiscale Tomographic Analysis for Micron-Sized Particulate Samples.

Ralf Ditscherlein¹, Orkun Furat², Mathieu de Langlard²

¹Institute of Mechanical Process Engineering and Mineral Processing, Technische Universität Bergakademie Freiberg, D-09599Freiberg, Germany.

Microscopy and Microanalysis : the Official Journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada

|July 7, 2020

Summary

This summary is machine-generated.

Accurate 3D particle characterization is key for separation processes and material development. Combining micro-computed tomography (CT) and nano-CT effectively analyzes particle size and shape distributions across scales.

Keywords:

multidimensional particle characterization multiscale X-ray tomography parametric copula statistical image analysis

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Area of Science:

Materials Science
Chemical Engineering
Analytical Chemistry

Background:

Accurate three-dimensional (3D) characterization of micro- and nanometer-sized particles is crucial for optimizing separation processes.
Particle properties directly influence selectivity and yield, impacting functional material development.

Purpose of the Study:

To investigate the 3D characterization of mixed particle systems with varying aspect ratios and sizes.
To evaluate the effectiveness of computed tomographic (CT) measurements at different scales for particle analysis.

Main Methods:

Immobilization of mixed spherical glass particles and glass fibers in a wax matrix.
Acquisition of 3D data using X-ray micro-computed tomography (micro-CT) and nano-computed tomography (nano-CT) at different magnifications.
Modeling of particle property distributions using parametric copulas.

Main Results:

Micro-CT effectively characterized glass fiber dimensions (diameter and length) across the entire sample volume.
High-resolution nano-CT, combined with micro-CT, was necessary for accurate characterization of spherical particles.
Parametric copulas provided a statistically representative method for modeling multidimensional particle correlations.

Conclusions:

A multi-scale CT approach is essential for comprehensive 3D particle characterization, especially for systems with diverse particle morphologies.
Advanced statistical modeling, such as copulas, can capture complex correlations within particle systems.
This methodology enhances the understanding and optimization of separation processes and material design.