Numerical study of flocculation settling and thickening of whole-tailings in deep cone thickener using CFD approach深锥浓密机内全尾砂絮凝沉降与浓密的CFD模拟

被引：0
作者：
Ai-xiang Wu
Zhu-en Ruan
Cui-ping Li
Shao-yong Wang
Yong Wang
Jian-dong Wang
机构：
[1] University of Science & Technology Beijing,School of Civil & Resources Engineering
[2] University of Science & Technology Beijing,Key Laboratory of High
来源：
Journal of Central South University | 2019年 / 26卷
关键词：
deep cone thickener; flocculation settling; thickening; whole-tailings; computational fluid dynamics; 深锥浓密机; 絮凝沉降; 浓密; 全尾砂; 计算流体动力学;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Deep cone thickener (DCT) is the key equipment in cemented paste backfill (CPB), so it is essential to study the flocculation settling and thickening characteristics of the whole-tailings in DCT. Coupled with population balance model (PBM), computational fluid dynamics (CFD) was used to study the characteristics, namely particle size distribution (PSD) and underflow concentration in DCT. Based on actual production, the effects of rake rotational speed, feed rate and tailings slurry concentration were simulated and analyzed in a certain range. The PSD varied with rake rational speed, feed rate and tailings slurry concentration almost in the same trend, but the influence of feed rate was less than that of rake rational speed and tailings slurry concentration. The underflow concentration increased at first and then declined with rake rational speed and feed rate, but it rose and fell with the tailings slurry concentration. Finally, the optimal key parameters on the flocculation settling and thickening of the whole-tailings in DCT were obtained: rake rotational speed of 17 r/min, feed rate of 3.25 m3/h and tailings slurry concentration of 20%, giving the reference values to the industrial production in Baishitamu Copper Mine.
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页码：711 / 718
页数：7
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共 118 条
  • [11] Li C-p(2012)Design and development of a novel thickener feedwell using computational fluid dynamics [J] Journal-South African Institute of Mining and Metallurgy 112 939-948
  • [12] Shi Cong(2010)Pilot-scale demonstration of deep Cone™ paste thickening process for phosphatic Clay/Sand disposal [J] Separation Science & Technology 45 1418-1425
  • [13] Banisi S(2013)Simulation of a semi-industrial pilot plant thickener using CFD approach [J] International Journal of Mining Science and Technology 23 63-68
  • [14] Yahyaei M(2013)Modeling industrial thickener using computational fluid dynamics (CFD), a case study: Tailing thickener in the Sarcheshmeh copper mine [J] International Journal of Mining Science and Technology 23 885-892
  • [15] Usher S P(2014)Numerical simulation of flow regions in red mud separation thickener’s feedwell by analysis of residence-time distribution [J] Transactions of Nonferrous Metals Society of China 24 1117-1124
  • [16] Spehar R(2016)Dynamic simulation of tailing thickener at the Tabas coal washing plant using the phenomenological model [J] International Journal of Mineral Processing 154 35-40
  • [17] Scales P J(2016)Flow field simulation of agitating tank and fine coal conditioning [J] International Journal of Mineral Processing 148 116-123
  • [18] Wu A-x(2003)Flow visualisation and computational prediction in thickener rake models [J] Minerals Engineering 16 93-102
  • [19] Zhou J(2002)CFD modelling of thickeners at Worsley Alumina Pty Ltd [J] Applied Mathematical Modelling 26 281-296
  • [20] Yin S-h(2013)Pressure rake analysis of deep cone thickeners based on tailings’ settlement and rheological characteristics [J] Journal of University of Science & Technology Beijing 35 1553-1558
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