Three-Dimensional Particle Shape Analysis Using X-ray Computed Tomography: Experimental Procedure and Analysis...

Area of Science:

• Materials Science
• Particle Technology
• Imaging Techniques

Background:

• Particle size and shape characterization are crucial in science and industry.
• Existing methods often assume spherical particles or use 2D measurements, limiting accuracy.
• Particle size and shape are interdependent, necessitating simultaneous 3D analysis.

Purpose of the Study:

• To present a novel 3D X-ray computed tomography (XCT) method for comprehensive particle size and shape analysis.
• To overcome limitations of existing 2D or spherical-assumption based measurement techniques.
• To enable accurate classification of particle morphologies, including agglomerates versus single particles.

Main Methods:

• Utilizing X-ray computed tomography (XCT) to acquire 3D images of powder particles.
• Developing mathematical and computational analyses to extract size and shape parameters from 3D data.
• Classifying particles based on their 3D morphology without prior assumptions.

Main Results:

• The XCT-based method successfully measures both 3D particle size and shape distributions.
• It allows for the mathematical classification of particle types, distinguishing single from agglomerated particles.
• The technique provides comprehensive data for generating various size and shape distribution parameters.

Conclusions:

• The presented XCT method offers a robust solution for 3D particle size and shape characterization.
• It overcomes the limitations of traditional methods by providing assumption-free, comprehensive analysis.
• This technique is applicable to particles imageable by XCT, with a minimum volume of approximately 1000 voxels.