共被期刊论文引用了4次
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| 1 | 强化离心分选的数值模拟研究显示文摘探讨了Falcon离心机回收电子废弃物的可行性,分析了离心机中颗粒受力情况,提出了颗粒的动力学方程.运用流体动力学(CFD)软件Fluent6.2对强化离心力场进行了数值模拟,并进行了分选实验研究.结果表明,离心力场使分选机有较低的分选下限,采用Falcon离心机分选-0.5mm级破碎电路板,取得了较好的分选效果,I值为0.01,数量效率为93.17%,错配物总量为4.5%.Falcon离心机可以对电子废弃物有效分选. | 石常省 赵跃民 | 2014 | 中国矿业大学学报2014，43，3： | 8 |
| 2 | 煤粉通气料仓的优化设计显示文摘料仓通气技术具有成本低、噪音小的优势,被广泛应用在黏附性粉体下料过程中。为确定黏附性煤粉下料过程的最优通气条件,在自行搭建的有机玻璃料仓上进行煤粉的通气下料实验。实验结果表明,通气可以显著促进煤粉下料,但通气高度和通气气速对下料过程的影响存在耦合作用。以气泡运动理论为基础,结合气泡与颗粒间的相对运动关系,建立了煤粉通气下料模型。基于实验数据关联气泡尺寸与通气高度及通气气速间的关系,通过模型分别计算了最优相对通气高度H/D=12.25和最优通气气速U_g=2.4U_(mf)。模型计算值与实验值的吻合效果良好,当5.56U_(mf)时,下料流率的计算偏差小于±20%。 | 付琳 陆海峰 郭晓镭 龚欣 | 2017 | 华东理工大学学报(自然科学版)2017，43，3： | 4 |
| 3 | 宽粒级加重质流化床中煤粉分布特性显示文摘干法选煤气固流化床的密度基于煤粉质量分数调节,本文研究了1.5-0.5mm煤粉在宽粒级加重质流化床中的分布特性.实验结果表明,1.5-0.9mm煤粉与0.3-0.06mm磁铁矿粉的混合物不宜作为气固流化床分选的加重质,为了抑制1.5-0.9mm煤粉对床层流压性能的不良影响,其质量分数不应超过3.09%.0.9-0.7mm煤粉可以作为加重质的一部分,但是其比例不宜超过5.12%.0.7-0.5mm煤粉能和所用磁铁矿粉均匀混合,作为加重质进行分选.因此,采用0.3-0.06mm颗粒比例不小于80%的-0.3mm磁铁矿粉作为加重质,基于-1mm煤粉质量分数调节流化床密度是合理的.提出了强化煤粉在流化床中均匀分布的优化方案,为流化床密度调控提供了依据. | 唐利刚 | 2015 | 中国矿业大学学报2015，44，6： | 2 |
| 4 | Characteristics of fluidization and dry-beneficiation of a wide-size-range medium-solids fluidized bed显示文摘Wide-size-range medium-solids are used in a modularized coal beneficiation demonstration system with a gas-solid fluidized bed. The characteristics of fluidization and dry-beneficiation of the medium solids were studied. The numerical simulation results show that 0.15–0.06 mm fine magnetite powder can decrease the disturbances caused by the bubbles. This is beneficial to the uniformity of the gas-solid interactions and thus to the uniformity and stability of the bed density and height. The experimental results show that, with an increase in the fine coal content in medium solids, both the fluidization quality and the beneficiation performance of the bed decreased gradually. When the fine coal content was no more than 13%, a relatively high superficial gas velocity increased the beneficiation efficiency. When the content was more than 13%, part of the fine coal was separated, leading to product layers. The separation efficiency was therefore gradually decreased. The models for predicting the bed density standard deviation and the probable error, E, value were both proposed. The E value can reach to 0.04–0.07 g/cm^3 under the optimized experimental parameters. This work provides a foundation for the adjustment of the bed density and the separation performance of the modularized 40–60 ton per hour dry coalbeneficiation industrial system. | Tang Ligang | 2017 | International Journal of Mining Science and Technology2017，27，3： | 2 |
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