论文部分内容阅读
在选矿设备模拟中，尽管圆锥分级机还没有引起足够的重视，但它们却是最古老的非机械分级机之一。由于它们的安排和操作成本低，近几年，它们的使用已再度复兴。本文评述了圆锥分级模型的进展，并提出了一个新的模型。简单地叙述了试验工作、数据的收集和分析，并介绍和讨论了新模型。此模型建立所用的数据是在每种情况下用不同的设备做三个不同的试验得到的。有21套数据是用3m的圆锥处理—个铜选矿厂的尾矿得到的；24套数据取自0．3m的半工业型圆锥；29套数据是用直径为0．073m的实验室玻璃漏斗作为圆锥分级机得到的，总共给出74套数据。使用专门的建模恢件分析颗粒在分级机中的沉降，设计了此模型的结构。借助于几个流体无量细数把在分级机中沉降颗粒的大小，和通过圆锥分级机底流口的强制与设备的操作条件联系起来。该模型采用效率曲线形状因素、分离点、底流浓度（固体的百分含量）或底流矿装流速四个参数来预示分级效率。该模型的适宜给料量是1．25～5000l／min。
In the beneficiation plant simulation, although cone graders have not received enough attention, they are one of the oldest non-mechanical classifiers. Their use has revived in recent years due to their low cost of organization and operation. This paper reviews the progress of the cone classification model and proposes a new model. Briefly described the experimental work, data collection and analysis, and introduced and discussed the new model. The data used to build this model was obtained by doing three different experiments with different devices in each case. Twenty-one sets of data were processed using a 3-m cone-tailings from a copper concentrator; 24 sets of data were taken from a 0.3-m semi-industrial cone; and 29 sets of data were obtained using a laboratory glass funnel with a diameter of 0.073 m Taken as a cone classifier, a total of 74 sets of data are given. The structure of this model was designed using a dedicated modeling tool to analyze the settlement of particles in the classifier. With the aid of several fluids, the size of the settling particles in the classifier, and the force at the bottom of the cone classifier, are linked to the operating conditions of the equipment. The model predicts the classification efficiency using four parameters of efficiency curve shape factor, separation point, underflow concentration (percentage of solids), or underflow rate. The model of the appropriate feed rate is 1.25 ~ 5000l / min.