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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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Recovering 3D particle size distributions from 2D sections.

Jeffrey N Cuzzi1, Daniel M Olson2

  • 1Ames Research Center, NASA, Moffett Field, CA 94035.

Meteoritics & Planetary Science
|August 5, 2020
PubMed
Summary

Converting 2D particle size data to 3D requires careful methods. This study offers a practical approach to accurately determine true three-dimensional particle size distributions from two-dimensional observations.

Area of Science:

  • Geoscience
  • Materials Science
  • Stereology

Background:

  • Particle size distribution analysis is crucial in fields like chondrite studies.
  • Observed particle sizes from 2D sections often differ from true 3D distributions.
  • Existing methods may have limitations in accuracy and practicality.

Purpose of the Study:

  • To develop and present a practical method for converting 2D apparent particle size distributions to true 3D distributions.
  • To evaluate the faithfulness of different 2D sectioning techniques for 3D reconstruction.
  • To provide computational tools for 2D-3D conversion and simulation.

Main Methods:

  • Utilizing observed particle size data from 2D sections (e.g., thin sections, SEM maps).
  • Applying a simple, flexible, and practical conversion method.

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  • Employing computer codes for 2D-3D recovery calculations and 2D observation simulations.

    • Main Results:

    • Identified a systematic bias in 2D sectioning: an overestimate of larger particle abundance.
    • Demonstrated that good 3D size distribution recoveries are possible with 100-300 measurements.
    • Showcased the relative faithfulness of different conversion techniques.

    Conclusions:

    • The proposed method offers a reliable way to obtain true 3D particle size distributions from 2D data.
    • Understanding and correcting for 2D sectioning biases is essential for accurate analysis.
    • The provided tools facilitate robust particle size analysis in relevant scientific disciplines.