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本文旨在按现有的流体力学和选矿理论解释尖缩溜槽的分选行为。假设矿浆从排矿口流出时速度呈对数分布,且矿浆属自由降落,得到计算底流的方法。按照拜格诺的剪切分散理论,而不是根据紊流扩散理论,得出了沿液流深度的固体浓度分布曲线。虽然可按拜格诺理论对此结果给以定性的解释,但要作完整的定量分析,还须作进一步的研究。因此,这里得到的仅仅是预测底流矿浆浓度的经验式。研究结果表明,重矿物进入轻矿物下层的析离过程可用一级反应定律描述。根据所得结果,建立了尖缩溜槽的计算机模型。以模型可按给矿和操作条件预测底流品位、矿浆浓度和流速,也可用于计算操作条件变化的影响,以及粗选、精选和扫选回路的最优化选择。
The purpose of this paper is to explain the sorting behavior of a shrink chute based on current fluid mechanics and beneficiation theories. Assuming that the velocity of slurry flowing out from the discharge mouth is logarithmic, and the pulp belongs to the free fall, a method of calculating the underflow is obtained. According to Baynot shear distribution theory, rather than based on the theory of turbulent diffusion, the distribution of solid concentration along the depth of the flow was obtained. Although the results can be qualitatively interpreted according to Baynot theory, a complete quantitative analysis is still needed. Therefore, what is obtained here is only an empirical formula for predicting the underflow slurry concentration. The results show that the separation of heavy minerals into the lower layer of light minerals can be described by the first-order reaction law. According to the results obtained, a computer model of a shrinking chute is established. The model predicts underflow grade, pulp concentration, and flow rate for both feed and operating conditions, as well as for calculating the effects of changes in operating conditions, as well as the optimal selection of roughing, finishing and sweeping circuits.