含稀土矿物包裹体颗粒材料的三维矿物定量:通过考虑局部体积和模糊效应实现亚体素分辨率

Shuvam Gupta , Vivian Moutinho , Jose R.A. Godinho , Bradley M. Guy , Jens Gutzmer
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引用次数: 0

摘要

该研究对最近引入的通过x射线计算机断层扫描分析颗粒样品的装载单颗粒表征和矿物学分析(MSPaCMAn)工作流程进行了重大改进。这种增强用于量化铁矿石颗粒样品中稀土矿物小颗粒的丰度。在所研究的样品中,稀土矿物通常以微小颗粒的形式存在。由于众所周知的局部体积和模糊效应,小尺寸给x射线计算机断层扫描带来了挑战。当颗粒的大小开始接近体素的大小时,这种效果尤为明显。增强的MSPaCMAn工作流程采用了新的步骤,通过同时分析稀土矿物颗粒及其宿主矿物的灰色值和几何性质,提高了矿物表征的可靠性。精细的工作流程也使颗粒表面的全面表征成为可能。MSPaCMAn的结果通过基于扫描电子显微镜的自动化矿物学和x射线粉末衍射数据进行了验证。这项研究是朝着使用x射线3D成像对颗粒处理样品进行精确和可重复的矿物学量化迈出的一步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
3D mineral quantification of particulate materials with rare earth mineral inclusions: Achieving sub-voxel resolution by considering the partial volume and blurring effect
This study documents a significant enhancement to the recently introduced Mounted Single Particle Characterization and Mineralogical Analyses (MSPaCMAn) workflow for particulate samples by X-ray computed tomography analyses. This enhancement is used to quantify the abundance of small grains of rare earth minerals within particulate samples of iron ore. In the studied samples, rare earth minerals are typically present as minute grains. The small size creates challenges for X-ray computed tomography due to the well-known partial volume and blurring effects. This effect is particularly pronounced when the sizes of grains start to approach the sizes of voxels. The enhanced MSPaCMAn workflow incorporates new steps to improve the reliability of mineral characterization by simultaneously analyzing the grey values and geometrical properties of rare earth mineral grains and their host minerals. The refined workflow also enables the comprehensive characterization of particle surfaces. The results of the MSPaCMAn were validated by scanning electron microscopy-based automated mineralogy and X-ray powder diffraction data. The study is a step towards accurate and reproducible mineralogical quantification of particulate processing samples using X-ray 3D imaging.
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