Numerical Simulation Model for Granulation Kinetics of Iron Ores

Kano, Junya; Kasai, Eiki; Sanda, Fumio; Kawaguchi, Takazo

doi:10.2355/isijinternational.45.500

Cited by 20 publications

(11 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…DEM simulations have also been extensively applied to study different granular flows in industries, for example, in drum mixers, 22,23 for fluidized beds, 24,25 for hopper charging, and discharging flows. [26][27][28] In the work related to flow in chutes, Mio et al experimentally investigated size segregation of sintered ore particles flowing along an inclined chute for validation of DEM results.…”

Section: Introductionmentioning

confidence: 99%

Numerical investigation of monodisperse granular flow through an inclined rotating chute

et al. 2014

View full text Add to dashboard Cite

A discrete element model of spherical glass particles flowing down a rotating chute is validated against high quality experimental data. The simulations are performed in a corotating frame of reference, taking into account Coriolis and centrifugal forces. In view of future extensions aimed at segregation studies of polydisperse granular flows, several validation steps are required. In particular, the influence of the interstitial gas, a sensitivity study of the collision parameters, and the effect of system rotation on particle flow is investigated. Shirsath et al. have provided the benchmark laboratory measurements of bed height and surface velocities of monodisperse granular flow down an inclined rotating chute. With a proper choice of the friction coefficients, the simulations show very good agreement with our experimental results. The effect of interstitial gas on the flow behavior is found to be relatively small for 3-mm granular particles.We calculated the bed height similarly in simulations and experiments. 36 In the experiments, an electronic height sensor was used which measures the height by averaging the 3428

show abstract

Section: Introductionmentioning

confidence: 99%

Numerical investigation of monodisperse granular flow through an inclined rotating chute

et al. 2014

View full text Add to dashboard Cite

show abstract

“…instance, the bed permeability, as a function of mean granule size and packing voidage, can significantly influence the air flow rate and the flame front speed, which are very important for sintering productivity. 6) Due to the importance of granule behaviour in sintering, many studies have been carried out on this topic in recent years 7,8) Considering that the behaviour of iron ore granules was too complicated to be experimentally studied in detail, many researchers [9][10][11][12][13][14][15] turned to numerical tools, such as Discrete Element Method (DEM), to investigate the granule behaviour in their studies. However, one existing issue is how to determine the physical parameters of the simulated iron ore granules because these parameters vary with moisture content and ore type.…”

Section: Introductionmentioning

confidence: 99%

Experimental Study on the Physical Properties of Iron Ore Granules Made from Australian Iron Ores

Li¹,

Moreno-Atanasio²,

O’Dea

et al. 2019

ISIJ International

View full text Add to dashboard Cite

A fundamental experimental study was conducted to measure the physical properties of iron ore granules made from three types of Australian iron ores. In this study, some key physical property parameters, including apparent density, Young's modulus and the coefficients of static and rolling frictions, of the iron ore granules with varying moisture content were investigated. The effect of granule size on the considered property parameters was also studied for the iron ore granules at the optimal moisture content which was determined by permeability pot packing test. The measurement results showed that both apparent density and Young's modulus of iron ore granules generally decreased with moisture content due to the growth of adhering layer around the nuclei particles. The static friction coefficient generally increased with moisture content but, at lower moisture contents, its variation differed between the granule types. The rolling friction coefficient generally experience a minimum value as moisture content increased within the considered range. The moisture content for the minima varied with granule type due to the different characteristics of the ore types. At the optimal moisture content for each granule type, the apparent density of different granule size fractions showed variable values because of the heterogeneous composition of the raw mixture in each size fraction. The Young's modulus and static friction coefficient showed slight downward and upward trends with the increase of granule size, respectively. The rolling friction coefficient is nearly independent of granule size.

show abstract

“…Since the computer simulation has a possibility to provide significant information in detail on granulation process, we have tried to develop the simulation model of granules behavior the batch type drum mixer 11) using Discrete Element Method (DEM). [12][13][14] This paper describes the numerical simulation method for the motion of the granules in a continuous drum mixer by using DEM and its validity is discussed in term of the occupation ratio and retention time.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Granules Behavior in Continuous Drum Mixer by DEM

et al. 2009

Self Cite

View full text Add to dashboard Cite

Fig. 1. Principle of the simulation model. model for granulation should be discussed. There are two models for the simulation of granulation process. One is trace movement of all particles. The other is trace movement of granulated particle only as one particle. The former might be better to analyze granulation mechanism. However, it is not realistic to simulate them because particles traced are enormous and it would take a long time to simulate the behavior of granules. Therefore the latter is adopted in this work. The assumptions in this simulation model are follows; 1) Granules are treated as one particle. 2) Particle shape is sphere. 3) Particle diameter is uniformly. 4) Particle diameter and other parameter is fixed in the simulation. 5) Effect of moisture is ignored.Physical constants and simulation conditions are shown in Table 1. Figure 2 shows the schematic diagram of a continuous drum mixer used in the simulation. Table 2 lists the size of drum mixer. Drum length and gradient angle were changed to investigate their effects on the granule behavior. The granules are fed at the extreme right of the drum mixer and granules drop from the extreme left (Fig. 2). Feeding rate is fixed at 100 kg/min. Continuous Drum Mixer Determination of ParametersThe simulation parameters are needed to be determined so that the granules behavior simulated correspond to the experimental results. Particularly the frictional coefficient has to be determined carefully since it strongly affects granules behavior. The simulation of granules behavior was performed to investigate the frictional coefficient on the behavior. The snapshots are shown in Fig. 3. The granules behavior is influenced by the frictional coefficient and a rising angle increases with an increase in the frictional coefficient. The rising angle was defined as shown in Fig. 4(a) to evaluate the granule behavior and to compare to experimental results. Figure 4 (b) shows relationship between the friction coefficient used in the simulation and the rising angle. The rising angle obtained from the experiment was also shown in Fig. 3. The rising angle increases with an increase in the ISIJ International, Vol. 49 (2009) frictional coefficient until the coefficient is 0.5, and then, the rising angle is going to be constant value about 100 degrees. The frictional coefficient was determined as 0.7, at which the rising angle obtained from the simulation is the closest to experimental one, although the rising angle obtained from the simulation does not agree with experimental results completely. This difference between them could be due to the assumption of sphere in the granules. The reason of this difference will be investigated more detail in the future. ExperimentGranulation experiment has been performed by using the continuous dram mixer. Granulator consists of rotating drum mixer, water nozzle and feed hopper (Fig. 5). The raw materials used in the actual process are supplied continuously at the extreme right of the drum mixer. Water is sprinkled by a nozzle, and ...

show abstract

Numerical Simulation Model for Granulation Kinetics of Iron Ores

Cited by 20 publications

References 18 publications

Numerical investigation of monodisperse granular flow through an inclined rotating chute

Numerical investigation of monodisperse granular flow through an inclined rotating chute

Experimental Study on the Physical Properties of Iron Ore Granules Made from Australian Iron Ores

Analysis of Granules Behavior in Continuous Drum Mixer by DEM

Contact Info

Product

Resources

About