Prediction of wear and its effect on the multiphase flow and separation performance of dense medium cyclone

Abstract Dense medium cyclone (DMC) is a high-tonnage device that is widely used to upgrade run-of-mine coal in modern coal preparation plants. It is known that wear is one of the problems in the operation of DMCs, but it is not well understood. In this work, the wear rate of DMC walls due to the impact of coal particles is predicted by a combined computational fluid dynamics and discrete element method (CFD-DEM) approach, using the Finnie wear model from the literature. In the CFD-DEM model, DEM is used to model the motion of discrete coal particles by applying Newton’s laws of motion and CFD is used to model the motion of the slurry medium by numerically solving the local-averaged Navier–Stokes equations together with the volume of fluid (VOF) and mixture multiphase flow models. According to the Finnie wear model, the wear rate is calculated according to the impact angle of particles on the wall, particle velocity during an impact and the yield stress of wall material; the relevant particle-scale information can be readily obtained from the CFD-DEM simulation. The numerical results show that the severe wear locations are generally the inside wall of the spigot and the outside wall of the vortex finder. The wear rate depends on both the operational conditions and solids properties. It increases generally with the decrease of medium-to-coal (M:C) ratio. For a given constant M:C ratio, the wear rate for thermal coal is higher than that for coking coal, especially at the spigot. Large particles may cause a non-symmetric wear rate due to the gravity effect. The effect of a worn spigot wall on the multiphase flow and separation performance is also studied. This work suggests that the proposed approach could be a useful tool to study the effect of wear in DMCs under different conditions.

[1]  A. Yu,et al.  Numerical study of gas–solid flow in a cyclone separator , 2006 .

[2]  I. Finnie Erosion of surfaces by solid particles , 1960 .

[3]  K. M. Emara,et al.  Effect of impingement angle on slurry erosion behaviour and mechanisms of 1017 steel and high-chromium white cast iron , 2007 .

[5]  Kevin P. Galvin,et al.  Use of X-rays to determine the distribution of particles in an operating cyclone , 1994 .

[6]  Yutaka Tsuji,et al.  Lagrangian numerical simulation of plug flow of cohesionless particles in a horizontal pipe , 1992 .

[7]  Aibing Yu,et al.  Numerical Study of Particle-Fluid Flow in a Hydrocyclone , 2007 .

[8]  Aibing Yu,et al.  Computational study of the multiphase flow and performance of dense medium cyclones: Effect of body dimensions , 2011 .

[9]  P. Cundall,et al.  A discrete numerical model for granular assemblies , 1979 .

[10]  Runyu Yang,et al.  Prediction of the disc wear in a model IsaMill and its effect on the flow of grinding media , 2011 .

[11]  Shenggen Hu,et al.  Prediction of dense medium cyclone performance from large size density tracer test , 2001 .

[12]  Massimiliano Zanin,et al.  The influence of particle shape on the dynamic dense medium separation of plastics , 2000 .

[13]  Aibing Yu,et al.  Numerical Simulation of the Gas-Solid Flow in Three-Dimensional Pneumatic Conveying Bends , 2008 .

[14]  Runyu Yang,et al.  Discrete particle simulation of particulate systems: A review of major applications and findings , 2008 .

[15]  Aibing Yu,et al.  CFD-DEM modelling of multiphase flow in dense medium cyclones , 2009 .

[16]  Kelvin Chu,et al.  Numerical simulation of complex particle-fluid flows , 2006 .

[17]  A. Yu,et al.  Discrete particle simulation of particle–fluid flow: model formulations and their applicability , 2010, Journal of Fluid Mechanics.

[18]  Aibing Yu,et al.  CFD–DEM study of the effect of particle density distribution on the multiphase flow and performance of dense medium cyclone , 2009 .

[19]  I. Hutchings Ductile-brittle transitions and wear maps for the erosion and abrasion of brittle materials , 1992 .

[20]  Mohloana K. Magwai,et al.  The effect of cyclone geometry and operating conditions on spigot capacity of dense medium cyclones , 2008 .

[21]  C. J. Restarick,et al.  The effect of underflow/overflow ratio on dense medium cyclone operation , 1991 .

[22]  Timothy J. Napier-Munn,et al.  A dense medium cyclone model based on the pivot phenomenon , 1988 .

[23]  Bow-yaw Wang,et al.  CFD–DEM simulation of the gas–solid flow in a cyclone separator , 2011 .

[24]  Janusz S. Laskowski,et al.  Effect of dense medium properties on the separation performance of a dense medium cyclone , 1994 .

[25]  C. Bhasker,et al.  Flow simulation in industrial cyclone separator , 2010, Adv. Eng. Softw..

[26]  Christopher John Wood A performance model for coal-washing dense medium cyclones , 1990 .

[27]  High precision suspension erosion modeling , 2010 .

[28]  Aibing Yu,et al.  Computational study of the multiphase flow in a dense medium cyclone: Effect of particle density , 2012 .

[29]  Aibing Yu,et al.  Modeling the Multiphase Flow in a Dense Medium Cyclone , 2009 .

[30]  B. A. Wills,et al.  Mineral processing technology , 1979 .

[31]  Cen Ke-fa,et al.  Numerical simulation of tube erosion by particle impaction , 1991 .

[32]  A. Yu,et al.  Discrete particle simulation of particulate systems: Theoretical developments , 2007 .

[33]  Aibing Yu,et al.  Numerical simulation of the gas-solid flow in a fluidized bed by combining discrete particle method with computational fluid dynamics , 1997 .

[34]  R. P. King,et al.  Cleaning of fine coals by dense-medium hydrocyclone , 1984 .

[35]  Mamoru Ishii,et al.  Two-fluid model and hydrodynamic constitutive relations , 1984 .

[36]  Danian Chen,et al.  Computational mean particle erosion model , 1998 .

[37]  Paul W. Cleary,et al.  Predicting charge motion, power draw, segregation and wear in ball mills using discrete element methods , 1998 .

[38]  M. P. Schwarz,et al.  Numerical and experimental investigations of wear in heavy medium cyclones , 1991 .

[39]  I. Finnie Some reflections on the past and future of erosion , 1995 .