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Sphericity and roundness computation for particles using the extreme vertices model

  • ,
  • Dolors Ayala
    ,
  • Daniel Hiller
    ,
  • Sebastian Gutsch
    ,
  • Margit Zacharias
    ,
  • Sònia Estradé
Research Output:
Contribution to journal
Article
Peer-review

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FWCI
5.03
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Author count
7
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Citations
139
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Paper percentile
97
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Top percentile
5
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Citations

Abstract

Shape is a property studied for many kinds of particles. Among shape parameters, sphericity and roundness indices had been largely studied to understand several processes. Some of these indices are based on length measurements of the particle obtained from its oriented bounding box (OBB). In this paper we follow a discrete approach based on Extreme Vertices Model and devise new methods to compute the OBB and the mentioned indices. We apply these methods to synthetic sedimentary rocks and to a real dataset of silicon nanocrystals (Si NC) to analyze the obtained results and compare them with those obtained with a classical voxel model.

Publication Information

Output type

Research Output:
Contribution to journal
Article
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 28-40 (13 pages)

Journal (Volume, Issue Number)

Journal of Computational Science (Volume 30)

Publication milestones

  • Published - 01/01/2019

Publication status

Published - 01/01/2019

ISSN

1877-7503

Publication IDs

  • Scopus: 85056832865

Funding Details

We gratefully acknowledge Lena F. Kourkoutis (Cornell University) for EFTEM tomography. This work was partially supported by the national Project TIN2011-24220 of the Spanish government. The authors thank the anonymous reviewers whose suggestions and questions gave them challenge and opportunity to greatly improve the paper.