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投稿时间:2020-06-28 修订日期:2020-07-06
投稿时间:2020-06-28 修订日期:2020-07-06
中文摘要: 针对银漫选厂磨矿粒度组成呈两极分化、银矿物需细磨而锡石需粗磨的磨矿矛盾等问题,提出依据原矿银锡品位比精准调控磨矿细度。同时,以原矿银锡品位比为自变量,建立了磨矿细度和矿物解离度的预测模型。结果表明,当处理高银低锡矿石时,需采用较细的磨矿细度,促进硫化矿物的单体解离;当处理低银高锡矿石时,需采用相对较粗的磨矿细度,降低锡石过粉碎现象。与采用单一磨矿细度相比,铜、银、锌、锡的回收率分别可以提高6.44%、11.08%、16.37%和9.80%,实现了磨矿细度的预测及各有价元素的高效综合回收。
Abstract:A method to precisely control the grinding fineness according to the grade ratio of silver to tin was put forward to solve the polarization of grinding particle size composition and the contradiction between the fine grinding of silver minerals and the coarse grinding of cassiterite in Yinman plant. In addition, a prediction model fitted to the grinding fineness and mineral liberation degree in the function of the grade ratio of silver to tin is used to solve the above problems. The non-linear fitting parameters show that a finer grinding fineness should be used to promote the monomers dissociation of sulfide minerals when treat the ore with high grade ratio of silver to tin. In addition, a relatively coarser grinding fineness should be adopted to reduce the over crushing of cassiterite when treat the ore with low grade ratio of silver to tin. Compared with the indexes before adjustment, the recovery rates of copper, silver, zinc, and tin can be increased by 6.44%, 11.08%, 16.37%, and 9.80%, respectively, achieving the prediction of grinding fineness and the efficient comprehensive utilization of the mainly valuable elements.
keywords: The grade ratio of silver to tin grinding fineness mineral liberation degree non-linear fitting prediction
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基金项目:广东省科学院高端领军人才培育培养资助专项项目
作者 | 单位 | |
冉金城 | 山东理工大学,资源与环境工程学院 | jinchengran@163.com |
邱显扬* | 广东省资源综合利用研究所 稀有金属分离与综合利用国家重点实验室 | gzyxks123@163.com |
引用文本:
冉金城,邱显扬.基于非线性拟合方法预测与优化银锡多金属矿磨矿细度[J].有色金属(选矿部分),2020(6):41-46.
Jincheng Ran,Xianyang Qiu.Prediction and Optimization of Grinding Fineness of the Silver-Tin Polymetallic Ore Based on the Nonlinear Fitting[J].Nonferrous Metals(Mineral Processing Section),2020(6):41-46.
冉金城,邱显扬.基于非线性拟合方法预测与优化银锡多金属矿磨矿细度[J].有色金属(选矿部分),2020(6):41-46.
Jincheng Ran,Xianyang Qiu.Prediction and Optimization of Grinding Fineness of the Silver-Tin Polymetallic Ore Based on the Nonlinear Fitting[J].Nonferrous Metals(Mineral Processing Section),2020(6):41-46.