首页> 外文期刊>Fuel Processing Technology >Analysis of separation response of Kelsey centrifugal jig in processing fine coal
【24h】

Analysis of separation response of Kelsey centrifugal jig in processing fine coal

机译:凯尔西离心夹具在选煤中的分离响应分析。

获取原文
获取原文并翻译 | 示例
           

摘要

Beneficiation of fine coal of size 300 x 150 μm was investigated in a laboratory Kelsey jig. A number of process variables were studied while others were kept constant. Silica sand of size —1.68 + 0.85 mm was used as ragging material to prevent pegging of the internal screen. The thickness of the ragging bed was established to be most crucial in controlling the separation. Rotational speed significantly affected the porosity of the ragging bed and particle momentum which had a contrasting influence on process performance. Pulsation rate determined bed dilation and misplacement of heavier particles. A slip velocity based estimation of the particle momentum indicated that the passage of particles in the intermediate momentum region to the overflow or underflow determined the performance. In a single pass through the Kelsey jig an absolute 7% reduction in the ash content was achieved at over 55% yield. A thicker bed depth was found to facilitate rejection of high ash materials. Models were developed for the response parameters and optimization performed. Operating regimes were identified for roughing or cleaning application of the Kelsey jig for optimum performance. It was established that Kelsey jig could be effective in fine coal cleaning if operated in a controlled manner.
机译:在实验室的Kelsey夹具中研究了尺寸为300 x 150μm的细煤的选矿。研究了许多过程变量,而其他变量则保持不变。尺寸为-1.68 + 0.85 mm的硅砂被用作填充材料,以防止内部筛网挂住。固定床的厚度被确定为在控制分离中最关键的。旋转速度显着影响毛坯床的孔隙率和颗粒动量,这对工艺性能产生了相反的影响。脉动速率决定了床膨胀和较重颗粒的错位。基于滑移速度的粒子动量估计表明,中间动量区域中的粒子通过上溢或下溢决定了性能。一次通过Kelsey夹具,灰分含量绝对减少了7%,收率超过55%。发现较厚的床层深度有助于除去高灰分的材料。针对响应参数开发了模型,并进行了优化。确定了用于Kelsey夹具的粗加工或清洁应用的操作方案,以实现最佳性能。已经确定,如果以受控方式进行操作,则Kelsey夹具可以有效地进行精细煤的清洁。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号