X射线智能矿石分选机入选粒级优化试验研究与应用实践

Experimental Study and Application on Optimization of feed grade of X-ray Intelligent Ore Separator

南秧田钨矿在资源整合过程中,白钨矿石品位逐年下降,矿石平均品位0.23%左右,通过应用X射线光电选矿技术对该矿石进行预先抛废处理,确定了适宜的分选机分选粒度、入选品位及处理量,在破碎筛分阶段即可将夹杂的废石大量抛除,使入选品位得以预先富集。入选粒度控制在15~50 mm,处理量控制在45~50 t/h,当入选品位为0.20%左右时,抛废率可达到50%,金属回收率达到92%,智能矿石分选机选矿精矿品位可以达到0.34%~0.49%.

In the process of resource integration of nanyangtion Tungsten Mine, the grade of scheelite dropped year by year, the average grade of ore is about 0.23%.By applying the X-ray photoelectric separation technology to advance the ore waste processing, determined the suitable separator separation granularity, milling grade and the capacity, the crushing screening stage can throw waste rock in the large, makes possible the preconcentration of milling grade.The particle size is controlled at 15 ~ 50 mm, and the processing capacity is controlled at 45~50 t/h.When the selected grade is about 0.20%,the discarding rate can reach 50%,the metal recovery can reach 92%,and the grade of concentrate by the intelligent ore separator can reach 0.34%~0.49%.