Particle size-included partition curve model of dense medium cyclones

被引:13
作者
Dou, Dongyang [1 ,2 ]
Liu, Gangyang [2 ]
Yang, Jianguo [3 ]
机构
[1] China Univ Min & Technol, Minist Educ, Key Lab Coal Proc & Efficient Utilizat, Xuzhou, Jiangsu, Peoples R China
[2] China Univ Min & Technol, Sch Chem Engn & Technol, Xuzhou, Jiangsu, Peoples R China
[3] China Univ Min & Technol, Natl Engn Res Ctr Coal Preparat & Purificat, Xuzhou, Jiangsu, Peoples R China
关键词
Partition curve; Coal preparation; Model; Particle size; Dense medium cyclone; FAULT-DIAGNOSIS; PERFORMANCE;
D O I
10.1080/19392699.2019.1628026
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The partition curve of dense medium cyclones (DMCs) has been extensively investigated. Most of the existing models are merely used to simulate the density distribution at the same size fraction. However, when the particle size varies, the models are no longer applicable to the new separation. To solve this problem, first, the effects of coal slime size in the suspension and feed coal size on the separation performance of DMCs were discussed. We found that with an increase in the coal slime size, the separation deteriorated and the cut density increased slightly, whereas an opposite trend occurred in the case of feed coal size. Then, a new partition curve model with a compound input of the density and particle size for DMC was presented. The model took the form , where x indicates density, y indicates particle size and a, b, c m, n are constants. The results of comparison between our experiment and other plant data demonstrated the effectiveness of the model as all the predicted partition curves approximated to the actual ones. Further, the model could be applied to simulate the separation performance of DMCs with different coal slime sizes in the suspension and feed coal size simultaneously. The model can be used to describe the complex separation behaviors of DMCs with varying particle size.
引用
收藏
页码:565 / 579
页数:15
相关论文
共 17 条
[1]   An optimization study of yield for a coal washing plant from Zonguldak region [J].
Cebeci, Yakup ;
Ulusoy, Ugur .
FUEL PROCESSING TECHNOLOGY, 2013, 115 :110-114
[2]   A new partition curve model of dense-medium cyclone based on process parameters [J].
Dou, Dongyang ;
Zhou, Deyang ;
Yang, Jianguo .
INTERNATIONAL JOURNAL OF COAL PREPARATION AND UTILIZATION, 2020, 40 (07) :459-472
[3]   A rule-based classifier ensemble for fault diagnosis of rotating machinery [J].
Dou, Dongyang ;
Jiang, Jian ;
Wang, Yuling ;
Zhang, Yong .
JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2018, 32 (06) :2509-2515
[4]   Comparison of four direct classification methods for intelligent fault diagnosis of rotating machinery [J].
Dou, Dongyang ;
Zhou, Shishuai .
APPLIED SOFT COMPUTING, 2016, 46 :459-468
[5]   A novel distribution rate predicting method of dense medium cyclone in the Taixi coal preparation plant [J].
Dou, Dongyang ;
Yang, Jianguo ;
Liu, Jiongtian ;
Zhang, Hongfang .
INTERNATIONAL JOURNAL OF MINERAL PROCESSING, 2015, 142 :51-55
[6]   Soft-Sensor Modeling for Separation Performance of Dense-Medium Cyclone by Field Data [J].
Dou, Dongyang ;
Yang, Jianguo ;
Liu, Jiongtian ;
Zhang, Zelin ;
Zhang, Hongfang .
INTERNATIONAL JOURNAL OF COAL PREPARATION AND UTILIZATION, 2015, 35 (03) :155-164
[7]  
Liu B., 2015, INT J COAL PREP UTIL, V16, P219
[8]  
Lu M., 2003, TECHNICAL MANAGEMENT, P92
[9]   The effect of cyclone geometry and operating conditions on spigot capacity of dense medium cyclones [J].
Magwai, Mohloana K. ;
Bosman, Jeremy .
INTERNATIONAL JOURNAL OF MINERAL PROCESSING, 2008, 86 (1-4) :94-103
[10]   Numerical simulation of magnetite segregation in a dense medium cyclone [J].
Narasimha, M. ;
Brennan, M. S. ;
Holtham, P. N. .
MINERALS ENGINEERING, 2006, 19 (10) :1034-1047