期刊
PARTICLE & PARTICLE SYSTEMS CHARACTERIZATION
卷 39, 期 12, 页码 -出版社
WILEY-V C H VERLAG GMBH
DOI: 10.1002/ppsc.202200120
关键词
iron pyrite morphology; nano-computed tomography; particle shape characterization
资金
- Engineering and Physical Sciences Research Council [EP/R511584/1]
- Henry Royce Institute
- EPSRC [EP/19/0044]
This study analyzes the morphology of iron pyrite particles in a shale sample using nano-computed tomography (Nano-CT) and discusses the impact of imaging resolution on the characterization of particle form.
This study analyzes 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 characterized 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 characterization. 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.
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