论文部分内容阅读
浮选过程中矿浆的黏稠度是由矿浆温度、矿粒浓度、矿粒细度等决定,它对浮选效率的影响一直受到工业界的极大重视。在实际生产中,一些自然因素和操作参数的变化,如季节性温度的浮动,矿石硬度、矿石性质的变化等产生的矿浆黏稠度的浮动,导致气泡尺寸和分布规律产生浮动,进而使选矿回收率等经济指标下滑。即便如此,在科研中矿浆黏稠度的相关研究并未受到重视。本研究的重点是黏稠度和气泡尺寸在浮选过程中的关系。试验采用半工业化美卓700 L机械浮选机和McGill大学独有的气泡观测仓,通过调整液体温度来改变黏稠度,在充分屏蔽其他浮选操作条件的情况下形成了气泡-黏稠度的关系图。结果显示了气泡尺寸D32和黏稠度(μ/μ20)之间呈现0.776的指数关系,有较强的关联性。本研究结果对实际生产中通过控制黏稠度来优化气泡尺寸,乃至浮选经济指标具有借鉴意义。
The viscosity of the slurry during flotation is determined by the temperature of the slurry, the concentration of the mineral particles and the fineness of the mineral particles. Its influence on the flotation efficiency has been paid great attention by the industry. In actual production, some natural factors and operating parameters such as seasonal temperature fluctuations, changes in ore hardness, changes in ore properties resulting in fluctuations in the viscosity of the slurry, resulting in bubble size and distribution of the law of the floating, and then beneficiation recovery Rate and other economic indicators decline. Even so, research on the viscosity of the slurry has not been given much attention. The focus of this study is the relationship between viscosity and bubble size during flotation. The pilot uses semi-industrial Metso 700L mechanical flotation machines and a unique bubble cell at McGill University to alter the viscosity by adjusting the liquid temperature to create a bubble-to-viscous consistency while sufficiently shielding other flotation operating conditions Figure The results show an exponential relationship of 0.776 between bubble size D32 and viscosity (μ / μ20), with a strong correlation. The results of this study can be used for reference to optimize the bubble size and control the flotation economic index by controlling the viscosity in actual production.