ABSTRACT

To effectively separate 3–13 mm steam coal, new separation equipment which was a heavy-medium separation column was designed and tested in this study. Particles were measured to analyze the changes in the axial medium force of particles in the medium by employing the force measuring system. The influence of the medium flow rate (q), medium density (ρ), separation column height (h), and feed volume (g) on the separation effect was investigated by using the control variable method to establish the optimum separation condition. Under the optimum separation condition, the yield and the ash content of the clean coal were 74.05% and 16.18%, respectively. Based on the single factor study, the Box-Behnken response surface methodology (BBRSM) was used to investigate the influence of each interaction factor on the separation effect. The significance of each factor on the quantitative efficiency was in the order of ρ > q > h. Through the regression analysis, the mathematical model for the relationship between the quantitative efficiency and the separation parameters was established. The predicted quantitative efficiency and experimental quantitative efficiency were 87.88% and 89.32%, respectively. The difference between them was small, verifying the high accuracy and reliability of the prediction results of the regression equation model.

摘要

为了有效分离3~13 mm动力煤，本研究设计并测试了新型分离设备——重介质分离塔。利用测力系统对颗粒进行测量，分析介质中颗粒轴向介质力的变化。介质流量 ( q )、介质密度 ( ρ )、分离柱高度 ( h ) 和进料量 ( g )的影响采用控制变量法考察了 ) 对分离效果的影响，建立了最佳分离条件。在最佳分离条件下，精煤的收率和灰分含量分别为74.05%和16.18%。在单因素研究的基础上，采用Box-Behnken响应面法（BBRSM）考察各交互作用因素对分离效果的影响。各因素对定量效率的显着性大小依次为ρ  >  q >  h。通过回归分析，建立了定量效率与分离参数关系的数学模型。预测定量效率和实验定量效率分别为87.88%和89.32%。两者差异较小，验证了回归方程模型预测结果的高精度和可靠性。