化工进展 ›› 2016, Vol. 35 ›› Issue (07): 2258-2262.DOI: 10.16085/j.issn.1000-6613.2016.07.044

• 资源与环境化工 • 上一篇    下一篇

鞣酸体系下黄铜矿与黄铁矿浮选动力学分析

邱仙辉1, 于洋2, 张春菊1   

  1. 1. 江西理工大学资源与环境工程学院, 江西 赣州 341000;
    2. 北京矿冶研究总院矿物加工工程国家重点试验室, 北京 100070
  • 收稿日期:2015-12-16 修回日期:2016-01-08 出版日期:2016-07-05 发布日期:2016-07-05
  • 通讯作者: 邱仙辉(1984-),男,博士,主要从事矿物加工理论与工艺研究。E-mail:qiuxianhui@126.com。
  • 作者简介:邱仙辉(1984-),男,博士,主要从事矿物加工理论与工艺研究。E-mail:qiuxianhui@126.com。
  • 基金资助:
    国家自然科学基金(51504103)及江西理工大学博士启动基金(jxxjbs14015)项目。

Flotation kinetics of chalcopyrite and pyrite in tannic acid system

QIU Xianhui1, YU Yang2, ZHANG Chunju1   

  1. 1. School of Resources and Environment Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, Jiangxi, China;
    2. State Key Laboratory of Mineral Processing, Beijing General Research Institute of Mining and Metallurgy, Beijing 100070, China
  • Received:2015-12-16 Revised:2016-01-08 Online:2016-07-05 Published:2016-07-05

摘要: 在铜硫硫化矿浮选实践中,一般通过添加大量的浮选药剂强压强拉以实现硫化铜和硫化铁矿物的浮选分离。利用铜硫硫化矿物在浮选药剂体系下浮选速率的差异,可以实现其清洁浮选分离。本文通过分批次刮泡浮选试验研究了鞣酸体系下黄铜矿及黄铁矿浮选行为和浮选动力学特性,计算了黄铜矿、黄铁矿在鞣酸体系下的浮选速率常数。研究结果表明,鞣酸能有效地抑制黄铁矿的浮选,而对黄铜矿的抑制作用较弱。在鞣酸体系下,黄铜矿的浮选速率明显大于黄铁矿的浮选速率,黄铜矿的平均浮选速率常数为0.80,而黄铁矿的平均浮选速率常数只有0.31。通过数学方法拟合了两种矿物在鞣酸体系下的浮选动力学模型,拟合结果表明,黄铜矿和黄铁矿浮选动力学均适用于改进的分速一级模型。

关键词: 黄铜矿-黄铁矿, 浮选, 动力学模型, 分离, 鞣酸

Abstract: In the practice of Cu-S sulfide flotation, a lot of reagents were added to achieve the separation of copper sulfide and iron sulfide minerals. In fact, The separation of Cu-S sulfides can be realized by using the difference of the flotation rate of sulfide minerals in the flotation reagent system. Flotation kinetics of chalcopyrite and pyrite in tannic acid has been investigated by flotation test. The flotation rate constants were calculated for chalcopyrite and pyrite in tannic acid system. Results showed that tannic can depress the pyrite and pyrite while has weekly impact on the flotation of chalcopyrite. In the tannic acid system, the flotation rate of chalcopyrite is obviously higher than that of pyrite. The average flotation rate constant is 0.8 while pyrite flotation rate constant of is only 0.31. The flotation kinetics model of chalcopyrite and pyrite were fitted by mathematical software. Results showed that chalcopyrite and pyrite flotation kinetics model apply to the improved differential level model (D21).

Key words: chalcopyrite-pyrite, flotation, kinetic modeling, separation, tannic acid

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