Study on Intelligent Preconcentration and Waste Disposal Technology of a Spodumene Ore in Sichuan Province
In order to improve the Li2 O grade of a spodumene ore for grinding and selection in Sichuan and reduce the cost of beneficiation production,the image intelligent sorting machine was adopted to carry out for intelligent pre-selection waste process test,and study the impact of the conditions of the feed particle size,the ore washing or not,the rate of waste disposal,the speed of the belt and the way of blowing and spraying on the selection effect.The results showed that under the optimal con-ditions of feed size of 60～10 mm,pre-washing of ore sludge,waste disposal rate of 31.88%,belt speed of 0.5 m/s,and"posi-tive blowing"blowing method,a qualified spodumene ore with Li2 O grade of 1.47%and recovery rate of 96.03%was ob-tained,and the loss rate of Li2 O in the waste rock was only 3.97%;Through the intelligent recognition of the image sorting ma-chine,the sorted spodumene qualified ore is bright yellow,while the waste rock is black or white;XRD results showed that com-pared with the original ore,the spodumene qualified ore has obvious spodumene phase,while the spodumene phase in the waste rock basically disappears.The results showed that HPY-SC1600 intelligent image sorter can effectively realize the intelligent sorting of spodumene and vein minerals,reduces the handling capacity of grinding and floating operation,which greatly im-proves the grade of spodumene,lowers the production cost,and reduce the potential environmental hazards of flotation reagents.
spodumeneimage intelligent sorterpre-selection discardingintelligent mineral processingsorting
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