DEM simulations of loads on obstruction attached to the wall of a model grain silo and of flow disturbance around the obstruction

Kobyłka, R.; Molenda, M.

doi:10.1016/j.powtec.2014.02.030

Cited by 27 publications

(14 citation statements)

References 13 publications

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“…Although granular material has been stored in silo constructions for thousands of years [1] it is only in the last sixty years that significant progress has been made to understand the physics of silo discharge. The mass flow rate of grains from slot and circular orifices is well described using the Beverloo scaling [2,3], while the velocity field during silo discharge has been described by kinematictype models [4][5][6][7][8][9], stochastic diffusion models [10,11], discrete modelling [12][13][14], and more recently, by utilising a pressure dependent viscosity in a Navier-Stokes solver [15,16]. Experimental studies on silo flow have been conducted using 2D imaging techniques such as particle image velocimetry (PIV) or Lagrangian particle tracking [4,[17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Testing the μ(I) granular rheology against experimental silo data

et al. 2017

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Industrial storage of granular material using silos is common, however, improved understanding of silo flow is needed. Various continuum models attempt to describe the velocity of dense granular flow in silos. Kinematic, and recently, stochastic models, based upon the diffusion of some quantity, perform well when there is a single orifice, and when the yield criterion is satisfied. However, if system stresses are insufficient to satisfy the yield criterion, or if there is a second orifice, these models fail to capture the entire flow behaviour. Advances in granular rheology have allowed a pressure dependent friction law to be defined which can capture the behaviour of granular silo flow including un-yielded zones, flow-rate independence of fill height, the Beverloo flow-rate, and various other phenomena. We performed silo discharge experiments in a flat bottomed planar silo with a single and two adjacent orifices, for two grain types. The velocity was measured using Particle Image Velocimetry. Results were compared to a mathematical model based on the μ(I) rheology which was shown to qualitatively capture the observed phenomena including plug-like zones where the yield criterion is not satisfied. These preliminary results strongly encourage future investigations into the effect of friction parameters and numerical boundary conditions.

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Section: Introductionmentioning

confidence: 99%

Testing the μ(I) granular rheology against experimental silo data

et al. 2017

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“…The Finite Element Method is a suitable technique to determine the stresses and displacements appeared on the walls or the bulk solid both for filling and discharge of the silo (Ooi and Rotter, 1990;Briassoulis, 2000;Gallego et al, 2010), or to analyze phenomena such as buckling (Iwicki et al, 2011), silo quaking (Wensrich, 2002), silo honking (Wilde et al, 2010), bursting (Piskoty et al, 2005), geometric imperfections (Teng et al, 2005) or eccentric hoppers (Guaita et al, 2003;Vidal et al, 2006). The Discrete Element Method is also increasingly being used for analyzing silos because it allows simulating the individual particles stored in the silo (Kobyłka and Molenda, 2014;Mellmann et al, 2014;Parafiniuk et al, 2013;González-Montellano et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Simulation of silo filling and discharge using ANSYS and comparison with experimental data

Gallego

Ruíz

Rodríguez

2015

Computers and Electronics in Agriculture

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“…The second verification of the mathematical derivation of Janssen's theory is performed using the DEM (Discrete Element Modelling) simulation method [12][13][14][15][16][17][18][19], which is based on calculating the mutual interactions of particles poured into the storage. Parameters such as, pressure, force, speed, torque, etc.…”

Section: Verification Using Dem Simulation Methodsmentioning

confidence: 99%

Monitoring bulk material pressure on bottom of storage using DEM

et al. 2019

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This article focuses on the experimental verification of a mathematical derivation of Janssen’s theory, which describes the distribution of pressures within the bulk material and pressure distribution on the walls of storage facilities. The experimental verification is performed in two ways. The first is the real measurement of the load transfer in a bulk material cylinder and the second is similar to the detection of the load transfer through simulations using the DEM method. The aim is to compare the results of the theoretical calculation according to Janssen’s theory with the real measurement and a simulation of exactly the same model situation. At the beginning of any design or optimisation of existing transport or storage facilities, the most important is the analysis of the bulk material in the form of measurements of mechanical-physical properties. The analysis methods used are also described here. The pressure at the bottom of a storage container between the methods used showed negligible differences. From this finding, it can be concluded that the DEM method is a very suitable means for verifying the design of transport and storage facilities. The simulations provide important information and insights that can also be used to optimise existing transport or storage facilities.

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DEM simulations of loads on obstruction attached to the wall of a model grain silo and of flow disturbance around the obstruction

Cited by 27 publications

References 13 publications

Testing the μ(I) granular rheology against experimental silo data

Testing the μ(I) granular rheology against experimental silo data

Simulation of silo filling and discharge using ANSYS and comparison with experimental data

Monitoring bulk material pressure on bottom of storage using DEM

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