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Integration of X-ray radiography and automated mineralogy data for the optimization of ore sorting routines
Minerals Engineering ( IF 4.9 ) Pub Date : 2022-07-21 , DOI: 10.1016/j.mineng.2022.107739
Marius Kern , Jorgina N.P. Akushika , Jose R.A. Godinho , Tobias Schmiedel , Jens Gutzmer

X-ray transmission sorting is arguably the most successful ore sorting technique used in the mining industry today. In order to establish the suitability of X-ray transmission sorting for a specific ore deposit or raw material type, the current state of the art involves time-consuming and costly empirical testing. In this paper, we show how the success of X-ray transmission sorting can be reliably predicted based on X-ray radiographs that are quick and inexpensive to obtain for a large number of samples. We document this novel approach using a large suite of samples of scheelite ores from the Mittersill deposit in Austria. Using only the X-ray radiographs at a spatial resolution of 0.12 mm we quantify the volume of high-density scheelite at different spatial resolution. The results are compared to and validated by data obtained by computer tomography and scanning electron microscopy-based image analysis. The X-ray radiograph data set is then down sampled to spatial resolutions of 0.8 mm, 3.2 mm, 12 mm and 24 mm in order to gauge the optimum spatial resolution prior to any empirical testing. Upgrading curves can be calculated, and in combination with quantitative data obtained by complementary analytical methods, the mineralogical and chemical composition of concentrate and waste can be predicted. The workflow can be transferred without any problems to many other ore types with a significant density difference between ore mineral(s) and gangue minerals.



中文翻译:

集成 X 射线照相和自动矿物学数据以优化矿石分选程序

X 射线透射分选可以说是当今采矿业使用的最成功的矿石分选技术。为了确定 X 射线透射分选对特定矿床或原材料类型的适用性,目前的技术水平涉及耗时且昂贵的经验测试。在本文中,我们展示了如何基于 X 射线 X 射线照片可靠地预测 X 射线透射分选的成功,这些 X 射线照片可以快速且廉价地获得大量样本。我们使用来自奥地利 Mittersill 矿床的大量白钨矿样品记录了这种新颖的方法。仅使用空间分辨率为 0.12 毫米的 X 射线照片,我们量化了不同空间分辨率下高密度白钨矿的体积。将结果与通过计算机断层扫描和基于扫描电子显微镜的图像分析获得的数据进行比较和验证。然后将 X 射线照相数据集向下采样到 0.8 毫米、3.2 毫米、12 毫米和 24 毫米的空间分辨率,以便在任何经验测试之前测量最佳空间分辨率。可以计算提质曲线,并结合互补分析方法获得的定量数据,可以预测精矿和废物的矿物和化学成分。该工作流程可以毫无问题地转移到许多其他矿石类型,在矿石矿物和脉石矿物之间存在显着密度差异。12 毫米和 24 毫米,以便在任何经验测试之前测量最佳空间分辨率。可以计算提质曲线,并结合互补分析方法获得的定量数据,可以预测精矿和废物的矿物和化学成分。该工作流程可以毫无问题地转移到许多其他矿石类型,在矿石矿物和脉石矿物之间存在显着密度差异。12 毫米和 24 毫米,以便在任何经验测试之前测量最佳空间分辨率。可以计算提质曲线,并结合互补分析方法获得的定量数据,可以预测精矿和废物的矿物和化学成分。该工作流程可以毫无问题地转移到许多其他矿石类型,在矿石矿物和脉石矿物之间存在显着密度差异。

更新日期:2022-07-21
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