Separation density prediction of geldart A-dense medium in gas-solid fluidized bed coal beneficiators

扫码查看

原文链接

NETL
NSTL
万方数据

外文摘要：Gas-solid Fluidized Bed Coal Beneficiator(GFBCB)process is a crucial dry coal beneficiation fluidization technology.The work employs the GFBCB process alongside a novel Geldart A-dense medium,con-sisting of Geldart A magnetite particles and Geldart C ultrafine coal,to separate small-size separated objects in the GFBCB.The effects of various operational conditions,including the volume fraction of ultrafine coal,the gas velocity,the separated objects size,and the separation time,were investigated on the GFBCB's separation performance.The results indicated that the probable error for 6～3 mm separated objects could be controlled within 0.10 g/cm3.Compared to the traditional Geldart B/D dense medium,the Geldart A/A-dense medium exhibited better size-dependent separation performance with an overall probable error 0.04～0.12 g/cm3.Moreover,it achieved a similar separation accuracy to the Geldart B/D dense medium fluidized bed with different external energy for the small-size object beneficiation.The work furthermore validated a separation density prediction model based on theoretical derivation,available for both Geldart B/D dense medium and Geldart A/A-dense medium at different operational conditions.

外文关键词：

GFBCBGeldart A-dense mediumSeparation densitySeparated objects sizePrediction model

作者：

Chenyang Zhou、Chengguo Liu、Yue Yuan、Zhijie Fu、Jesse Zhu、Chenlong Duan

展开 >

作者单位：

School of Chemical Engineering and Technology,China University of Mining and Technology,Xuzhou,221116,China

Particle Technology Research Centre,Western University,London,Ontario,N6A 5B9,Canada

基金：

National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaChina National Funds for Distinguished Young Scientists

项目编号：

522201050085210427652125403

出版年：

2024

DOI：

10.1016/j.partic.2024.05.008

颗粒学报(英文版)

中国颗粒学会　中国科学院过程工程研究所

颗粒学报(英文版)

CSTPCD

影响因子：0.632

ISSN：1674-2001

年,卷(期)：2024.92(9)