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江西省某尾矿回收锂云母实验研究OACSTPCD

Experimental Study on Recovering Lepidolite from a Tailings in Jiangxi Province

中文摘要英文摘要

针对江西省某尾矿开展了工艺矿物学与回收锂云母选矿实验研究,明确了样品的主要元素与矿物组成,以及Li2O的元素赋存状态;考察了磨矿、脱泥、十二胺、调整剂GY503、水玻璃用量等因素对浮选的影响.研究结果表明,样品Li2O品位为0.276%,主要有价矿物为锂云母(锂白云母).浮选实验发现,脱泥有利于提高Li2O浮选效率,原矿适宜的磨矿细度为-0.074 mm粒级占 60%,浮选粗选十二胺、GY503、水玻璃的最佳用量分别为 200 g/t、2 000 g/t和 500 g/t,通过"一次粗选一次扫选两次精选"的浮选闭路流程,可获得Li2O品位和回收率分别为 1.46%和 82.81%的锂云母精矿;对锂云母浮选精矿进一步开展了磁选提质实验,获得了Li2O品位和回收率分别为 2.02%和 40.71%的磁选精矿,实现了该低品位锂云母资源的有效利用.

Through research on process mineralogy and the recovery of lepidolite,an experimental study was conducted on the tailings from Jiangxi Province.The main elements and mineral composition of the sample were identified,and the occurrence states of Li2O-bearing minerals were determined.Tests were performed on grinding,desliming,and the dosages of lauryl amine,GY503,and sodium silicate.The results indicated that the Li2O grade of the sample was 0.276%,with the main valuable mineral being lepidolite(or lithian muscovite).Flotation condition tests showed that desliming improved flotation efficiency,and the suitable grinding fineness for the ore was 60%passing 0.074 mm.In roughing flotation,the optimal dosages of dodecyl amine,GY503,and sodium silicate were 200 g/t,2 000 g/t,and 500 g/t,respectively.The flotation closed-circuit test,consisting of one roughing,one cleaning,and two scavenging steps,yielded concentrates with a Li2O grade of 1.46%and a recovery of 82.81%.Furthermore,high-gradient magnetic separation further improved the quality of the lepidolite flotation concentrates,yielding a magnetic concentrate with a Li2O grade of 2.02%and a recovery of 40.71%.Thus,the effective utilization of the low-grade lepidolite ore was realized.

吕昊子;王成行;李强;胡真;李波

广东省科学院资源利用与稀土开发研究所,广东 广州 510651||稀有金属分离与综合利用国家重点实验室,广东 广州 510651||广东省矿产资源开发与综合利用重点实验室,广东 广州 510651||广东省矿产资源综合利用工程技术研究中心,广东 广州 510651

矿山工程

锂云母浮选磁选尾矿

lepidoliteflotationmagnetic separationtailings

《矿产保护与利用》 2024 (003)

89-94 / 6

广州市科技计划项目(2023A04J1632);广东省科学院实施创新驱动发展能力建设专项资金项目(2017GDASCX-0301);国家自然科学基金重大研究计划(91962215);新疆自治区重大科技专项(2023A03003-1)

10.13779/j.cnki.issn1001-0076.2024.03.009

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