大山选厂浮选回收率与磨矿产品粒度均匀性的多元线性回归模型及应用研究

发布时间：2018-08-06 16:44

【摘要】：生产中一直将磨矿细度作为考核磨矿的主要指标,往往却忽略了磨矿产品粒度均匀性对选矿指标的影响,许多选厂磨矿分级产品的粒度分布存在“两头多、中间少”的现象,磨矿产品粒度不均匀性逐渐成为制约选厂选矿指标稳定和提升的瓶颈。如何有效提高磨矿产品的粒度均匀性始终是选矿工作者研究的主要课题之一,近年来取得了一系列重要成果,如选择高效的磨矿分级设备、改进磨矿分级工艺流程、合理调整磨矿分级工艺参数等措施。本文根据德兴铜矿大山选厂矿石的力学性质和磨机给料的粒度特性,通过合理调整补加球荷来提高磨矿产品粒度均匀性。在大量浮选试验的基础上,利用统计回归分析法建立了浮选回收率与磨矿产品粒度均匀性的多元线性回归模型。在实验室针对选厂5.5×8.5m溢流型球磨机的初装球荷和补加球荷进行研究。通过对各初装球荷的磨矿产品中间易选级别-0.2+0.01Omm产率、磨机-0.074mm利用系数、磨矿技术效率等指标的综合分析,得到最佳的初装球荷为：Φ70：Φ60：Φ40：Φ30=20：30：20：30,并在最佳初装球荷的基础上得到最佳的补加球荷为：Φ70：Φ60：Φ40=35：35：30。鉴于选厂生产条件和球仓实际情况的限制,在只能添加Φ80mm和Φ50mm两种钢球的情况下,通过试验确定在生产中可适当增加Φ50mm钢球的比例来实现较为理想的磨矿效果。在实验室试验研究的基础上,选择选厂一台5.5×8.5m溢流型球磨机进行补加球荷的工业试验,工业试验结果表明：通过增加Φ50mm小钢球的比例能有效有效改善磨矿指标,并确定最终的补加球荷为Φ80：Φ50=55：45。合理调整补加球荷后,一方面有效提高了磨矿分级产品的粒度均匀性,工业试验后,旋流器溢流中-0.2+0.038mmm可选粒级、-0.074mm含量分别增加5.86和3.83个百分点,+0.2mm过粗粒级含量减少了3.75个百分点。二是有效提高了磨机工作效率和旋流器分级效率,主要表现在工业试验稳定期内试验磨机比对比磨机的台时处理能力提高了3.61 t·h-1,试验前后磨机的-0.074mm利用效率、-0.2+0.038mm利用效率分别提高了7.00%、11.56%；旋流器分级效率提高6.00个百分点。此外,铜的选矿指标也得到明显提高,试验磨机的铜精矿的产率和回收率分别比对比磨机的分别提高了0.51和1.24个百分点,同时降低了尾矿品位,减少了金属的流失,达到了优化磨矿粒度均匀性从而提高铜浮选指标的目的。将大山选厂铜粗选回收率、原矿品位、铜粗精品位、磨矿产品中-0.2+0.038mm易选粒级含量作为样本考查值进行多元线性回归分析,利用EViews软件根据最小二乘法估计模型参数,经各种检验最终得到铜粗选回收率与原矿品位、铜粗精品位、磨矿产品中-0.2+0.038mm易选粒级含量的多元线性回归模型：ε=36.28871+33.22137α-1.279861β+0.916851γ,回归模型表示的实际含义与大山选厂生产情况相吻合,对选厂生产管理具有一定的指导意义。
[Abstract]:In production, grinding fineness is always regarded as the main index of checking grinding, but the influence of grain size uniformity of grinding product on mineral dressing index is neglected. The particle size distribution of many grinding and classification products in many dressing plants has the phenomenon of "more two ends and less middle". The grain size inhomogeneity of grinding products has gradually become the bottleneck restricting the stability and promotion of ore dressing index in concentrator. How to effectively improve the particle size uniformity of grinding products has always been one of the main topics studied by concentrators. In recent years, a series of important achievements have been obtained, such as the selection of efficient grinding and classification equipment and the improvement of grinding and classifying process flow. Reasonable adjustment of grinding classification process parameters and other measures. According to the mechanical properties of ore in Dashan dressing Plant of Dexing Copper Mine and the particle size characteristics of mill feed, the grain size uniformity of grinding products is improved by reasonable adjustment of adding ball load. Based on a large number of flotation tests, a multivariate linear regression model between flotation recovery and particle size uniformity of grinding products was established by statistical regression analysis. The initial loading and adding ball load of 5.5 脳 8.5 m overflow ball mill were studied in laboratory. Based on the comprehensive analysis of the intermediate grade -0.2 0.01Omm yield, the mill utilization coefficient of -0.074 mm, and the grinding technical efficiency, etc. The best initial charge is 桅 70: 桅 60: 桅 40: 桅 30: 30: 20: 20: 20: 30, and on the basis of the best initial load, the best ball charge is 桅 70: 桅 60: 桅 4035: 35: 30. In view of the limitation of the production conditions and the actual conditions of the ball bunker in the separation plant, under the condition that 桅 80mm and 桅 50mm steel balls can only be added, it is determined by experiments that the proportion of 桅 50mm steel balls can be appropriately increased in production to achieve a more ideal grinding effect. On the basis of laboratory test, a 5.5 脳 8.5m overflow ball mill was selected to carry out the industrial test of adding ball load. The industrial test results show that the grinding index can be improved effectively by increasing the proportion of 桅 50mm small steel ball. The final addition charge is determined to be 桅 80: 桅 50: 55: 45. After reasonable adjustment of ball load, on the one hand, the particle size uniformity of grinding and classifying products is effectively improved, and after industrial test, In the overflow of hydrocyclone, the content of -0.2 0.038mmm optional grain-grade (-0.074mm) increased by 5.86% and 3.83%, and the content of too coarse grain of 0.2mm decreased by 3.75%. Second, the efficiency of mill and cyclone classification is improved effectively. The main results are as follows: in the stable period of industrial test, the processing capacity of the test mill is increased by 3.61t / h compared with that of the contrast mill, the utilization efficiency of the mill is increased by -0.074mm and the utilization efficiency of -0.2 0.038mm is increased by 7.007.56% and the classifying efficiency of the hydrocyclone is increased by 6.00% before and after the test. In addition, the mineral processing index of copper has been improved obviously. The yield and recovery rate of copper concentrate in the test mill have been increased by 0.51 and 1.24 percentage points, respectively, compared with the contrast mill, and the tailing grade has been reduced, and the loss of metal has been reduced. The aim of optimizing the homogeneity of grinding granularity and improving the flotation index of copper is achieved. The recovery rate of copper crude separation, the grade of raw ore, the quality of copper and the content of -0.2 0.038mm in grinding products were used as sample checking values for multivariate linear regression analysis. The model parameters were estimated by EViews software according to the least square method. After various tests, the multivariate linear regression model of copper recovery rate and grade of raw ore, fine copper position and -0.2 0.038mm easy to be grained grain content in grinding products is obtained. The regression model is 蔚 36.28871 33.22137 伪 -1.279861 尾 0.916851 纬. The actual meaning of the regression model is in agreement with the production situation of Dashan concentrator. It has certain guiding significance to the production management of the separation plant.
【学位授予单位】：昆明理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TD923

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