预选抛废研究数据集

预选抛废数据集基于矿石性质分析，开展预选抛废研究，主要包括X射线辐射、磁选、色选、重介质分选和X射线透射选矿等试验，获取了不同预选方式下的抛废率和金属损失率；通过重介质分选和X射线选矿工业试验，进一步论证了在低品位复杂多金属矿中开展预选抛废，能够有效减少矿石入磨量，降低磨矿能耗。数据量约3.92MB。The pre-concentration and waste rejection dataset is developed based on ore property analysis, with corresponding studies on pre-concentration and waste rejection carried out. The dataset mainly includes tests of X-ray irradiation, magnetic separation, color sorting, dense-medium separation, and X-ray transmission mineral processing, and collects the gangue rejection rate and metal loss rate under various pre-concentration methods. Through industrial-scale tests of dense-medium separation and X-ray mineral processing, it is further verified that implementing pre-concentration and waste rejection in low-grade complex polymetallic ores can effectively reduce the ore feeding volume for grinding and lower grinding energy consumption. The total data volume is approximately 3.92 MB.

搜集汇总

背景与挑战

背景概述

该数据集基于矿石性质分析，通过X射线辐射、磁选、色选、重介质分选和X射线透射选矿等试验，研究了预选抛废技术，获取了抛废率和金属损失率数据。工业试验表明，该技术能有效减少低品位复杂多金属矿的入磨量和磨矿能耗，数据量约3.92MB，格式为xlsx和png。