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用自动的图象分析法研究了以钠长石及微斜长石为长石矿物和以石英及白云母为脉石矿物的细晶岩矿石中的矿物结构特征,以确定用于陶瓷工业的长石类矿物的选别方法。自动图象分析法为评价磨矿过程提供所需的大量矿物分析定量数据。通过测定显微探针产生的反散射电子信号而获得磨片表面的图象。根据X射线光谱并对灰度及元素特征的X射线进行识别而鉴定各种矿物。通过矿石薄片研究而对矿物进行定量分析和粒度分布分析,以预测长石类矿物所需的磨矿解离度。然后将矿石磨到-1.7mm,并对按不同筛分粒级物料制备的磨片进行分析,以确定各种矿物定量以及长石类矿物总的表观离解度。将预测的和实测的解离度进行了比较,根据测定的解离度解释了矿石在磨矿过程中的特性。
The mineralogical characteristics of feldspathic minerals with albite and plagioclase as feldspathic minerals and quartz and muscovite as gangue minerals were studied by means of automated image analysis to determine the mineralogical characteristics of the minerals used in the ceramic industry Feldspar mineral sorting method. Automatic image analysis provides the quantitative data necessary for a large number of mineral analyzes to evaluate the grinding process. An image of the surface of the abrasive was obtained by measuring the backscattered electron signal generated by the microprobe. Various minerals are identified based on X-ray spectra and identification of grayscale and elemental X-rays. Through the study of ore flakes, the quantitative analysis and the particle size distribution analysis of minerals are carried out to predict the grinding dissociation degree of feldspar minerals. The ore was then ground to -1.7 mm and analyzed for the abrasive pieces prepared from different sized fractions to determine the various mineral contents and the overall apparent dissociation of feldspar minerals. The predicted and measured dissociation degrees are compared and the characteristics of the ore during grinding are explained according to the measured degree of dissociation.