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伊春辉钼矿浮选工艺优化试验研究 被引量:1

Floatation Process Optimization of Molybdenum Ore
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摘要 针对伊春低品位辉钼矿,采用浮选工艺获得高品位钼精矿。采用单因素试验方法,重点考察了药剂制度(p H值、混合抑制剂用量、捕收剂用量、起泡剂用量)及物理因素(磨矿粒度、温度、浮选转速、充气量、刮泡时间)对浮选指标的综合影响。单因素试验结果表明,当矿浆浓度为45%时,该辉钼矿浮选的最佳工艺条件为:温度20℃、p H值8.7,混合抑制剂用量600 g/t,捕收剂用量115 g/t,起泡剂用量60 g/t、磨矿粒度为-74μm占70.93%,浮选转速2000 r/min,充气量0.3 m3/h、刮泡时间8 min;此条件下经"一粗一扫"工艺,可获得钼品位2.81%、回收率为94.62%的粗钼精矿。基于此优化条件,采用"一粗六精一扫"的开路试验流程,可获得品位为45.68%、回收率为31.75%的钼精矿,而采用"一粗六精一扫、中矿顺序返回"的闭路试验流程,最终可获得品位为40.32%、回收率为93.28%的钼精矿。 In this paper, the technology of flotation was adopted to obtain high-grade Mo concentrate from a low-grade molybdenum ore. By single factor test, the integrate effect of reagent system (pH value, mixed inhibitors dos- age, collector dosage, blowing dosage) and physical factors ( grind size, temperature, slurry concentration, flotation speed and inflating volume of flotation machine) on the flotation resultS were mainly investigated. The single factor test results showed that under the slurry concentration was 45 %, the optimum conditions of flotation of molybdenite were temperature 20℃, pH value of 8.7, mixed inhibitor dosage of 600 g/t, collector dosage of 115 g/t, frother dosage of 60 g/t the, grinding size of -74μm account for 70. 93%, flotation speed of 2000 r/min and aeration quantity of 0. 3 m^3/h ,blow bubble time of 8min;Under this condition, rough concentrate with grade of 45.68% and recovery of 31.75% were obtained by one rougher-one cleaning flotation. Under this condition, molybdenite concentrate with grade of 45.68% and recovery of 31.75% was obtained by the open-circuit experiment process of"one roughing-six scavenging-one cleaning", and molybdenite concentrate with grade of 40. 32% and recovery of 93.28% was finally obtained by the closed-circuit test process of" one roughing-six scavenging-one cleaning and middles back to the flow-sheet".
出处 《矿产综合利用》 北大核心 2017年第6期50-56,共7页 Multipurpose Utilization of Mineral Resources
基金 内蒙古自然科学基金项目(2015MS0559 2014MS0521) 内蒙古科技厅重大专项(白云鄂博高值综合利用的基础及关键技术研究)
关键词 辉钼矿 浮选 优化 Molybdenite Flotation Optimization
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