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Experimental study on classification process of fine iron ore tailings using hydrocyclone

机译：水力旋流器分级铁精矿尾矿过程的实验研究

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Previous work mainly focused on investigations of computational model and using numerical simulation method, this method is limited in study of hydrocyclone due to the impact of simplification of boundary condition and turbulent models. In light of this, this paper designed an experimental strategy for industrial hydrocyclones on classification of fine iron ore tailings. The paper studied the classification efficiency of industrial hydrocyclone for fine iron ore tailings. The study analyzed the effect of hydrocyclone diameter and underflow diameter on the classification efficiency. The analysis primarily focused on the effect of structural variation of underflow in hydrocyclones with different diameters on underflow solid phase productivity, Newton comprehensive classification efficiency, and underflow granularity composition. The experiment results showed that the size of hydrocyclone had great influence on the performance of the hydrocyclone, which provided basis on the selection of hydrocyclone, as well as structural design and optimization.
机译：以前的工作主要集中在计算模型的研究上，并使用数值模拟方法，由于简化边界条件和湍流模型的影响，该方法在水力旋流器的研究中受到限制。有鉴于此，本文设计了一种工业水力旋流器细铁矿尾矿分类的实验策略。研究了工业水力旋流器对细铁矿石尾矿的分类效率。研究分析了水力旋流器直径和下溢直径对分类效率的影响。分析主要集中在不同直径水力旋流器中底流的结构变化对底流固相生产率，牛顿综合分类效率和底流粒度组成的影响。实验结果表明，水力旋流器的尺寸对水力旋流器的性能影响很大，为水力旋流器的选择，结构设计和优化提供了依据。

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