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Nano-Scale Characterisation of Particulate Iron Pyrite Morphology in Shale

Lookup NU author(s): Vasileios AngelidakisORCiD, Dr Sadegh NadimiORCiD

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).

Abstract

This study analyses the morphology of iron pyrite particles within a shale sample, captured using nano-computed tomography (Nano-CT). The complex, framboidal morphology of the iron pyrite particles is characterised using various metrics, and comparisons are drawn on their effectiveness to quantify their observed morphological characteristics. Then, simplified representations of selected iron pyrite particles are generated to facilitate a sensitivity analysis of the effect of imaging resolution on morphological parameters of particle form. A discussion is developed on the required number of pixels per particle diameter for particle shape characterisation. It is shown that shape indices that rely on the simplified main particle dimensions can be accurately calculated even for low fidelity levels of 10 pixels per particle diameter. More complex shape indices, that use vertices, volume and surface area, are more sensitive to image resolution even for 40 pixels per particle diameter.

Publication metadata

Author(s): Angelidakis V, Nadimi S, Garum M, Hassanpour A

Publication type: Article

Publication status: Published

Journal: Particle & Particle Systems Characterization

Year: 2022

Volume: 39

Issue: 12

Print publication date: 14/12/2022

Online publication date: 14/10/2022

Acceptance date: 10/10/2022

Date deposited: 14/10/2022

ISSN (print): 0934-0866

ISSN (electronic): 1521-4117

Publisher: Wiley-VCH Verlag GmbH & Co. KGaA

URL: https://doi.org/10.1002/ppsc.202200120

DOI: 10.1002/ppsc.202200120

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