Calibrating friction coefficients in discrete element method simulations with shear-cell experiments

Angus, Andrew; Yahia, Lyes Ait Ali; Maione, Riccardo; Khala, Marv J.; Hare, Colin; Özel, Ali; Ocone, Raffaella

doi:10.1016/j.powtec.2020.05.079

Cited by 16 publications

(11 citation statements)

References 47 publications

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“…The error between the μ 1 simulated value and the physical test value is due to the natural properties and uneven physical form of the rice straw in the physical test relative to the simulation model. This is similar to the study on the static friction coefficient of potatoes by Liu et al [19] The surface roughness and viscous damping effect of rice straw in the physical test resulted in a bigger physical test value than the simulated value, which is consistent with the analysis result of DEM simulation friction coefficient of the glass bead particles calibrated by Angus et al [42] in the shear-cell test.…”

Section: Discussionsupporting

confidence: 90%

“…The error between μ′ 1 simulated value and physical test value is due to the uneven rice straw surface morphology, invisible dust to the naked eye in the physical test, which makes the physical test value greater than the simulated value. This is similar to the reason for the calibration error in DEM simulation friction coefficient of glass bead particles according to Angus et al [42] . Steel plate surface roughness and lubrication treatment mode also explain the error between simulated value and physical test value.…”

Section: Rice Straw-steel Rolling Friction Coefficientsupporting

confidence: 86%

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Contact parameter analysis and calibration in discrete element simulation of rice straw

Hu¹,

Deng²,

Deng³

et al. 2021

International Journal of Agricultural and Biological Engineering

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Discrete element method was used to study and analyze the interaction between rice straws and between rice straw and agricultural machinery parts, thereby providing a scientific basis for post-harvest paddy field processing. Calibrations of rice straw-rice straw, rice straw-agricultural machinery part contact parameters (collision recovery coefficient, static friction coefficient and rolling friction coefficient) constitute an important prerequisite for the discrete element research process. In this study, the collision recovery coefficients of rice straw-steel and rice straw-rice straw were 0.230 and 0.357, respectively, which were calibrated by the collision method. The static friction coefficient and rolling friction coefficient of rice straw-steel were 0.363 and 0.208 respectively, which were calibrated by the inclined plate method and the slope method. The static friction coefficient and rolling friction coefficient of rice straw-rice straw were 0.44 and 0.07, respectively, which were calibrated by the split cylinder method. The paired t-test showed insignificant differences between calibration parameter simulation results and the physical test values (p>0.05). Taking the angle of repose that reflecting rice straw flow and friction characteristics as the evaluation index, the verification tests of the above calibration values indicated that the simulated angle of repose has no significant difference from the physical test value (p>0.05). The side plate lifting test on rice straw of different lengths showed no significant difference between the simulated angle of repose and the physical test value (p>0.05). This study can provide a basis for contact parameters choice in discrete element simulation analysis with rice straw-rice straw and rice straw-agricultural machinery parts as the research object. The calibration method can provide a reference for the contact parameter calibration of other crop straws.

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Section: Discussionsupporting

confidence: 90%

Section: Rice Straw-steel Rolling Friction Coefficientsupporting

confidence: 86%

Contact parameter analysis and calibration in discrete element simulation of rice straw

Hu¹,

Deng²,

Deng³

et al. 2021

International Journal of Agricultural and Biological Engineering

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“…In the literature, a vast body of researches conducted to study the powder flow behavior by different shear cell tests [48][49][50][51][52][53]. In our previous study we studied flowability of raw and hydrophobic glass beads with shear cell [31].…”

Section: Flowabilitymentioning

confidence: 99%

Powder flow behavior governed by the surface properties of glass beads

et al. 2021

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Powder rheology and its sensitivity to surrounding environmental condition by controlling the surface properties of the particles is one of the major challenges of the powder industries. Indeed, handling large quantities needs powders with good flowability, adequate compressibility and few electrostatic charges. We have performed a chemical treatment in order to obtain hydrophobic glass beads and its bulk behavior has been compared with raw glass beads depending on the humidity. We characterized flow properties under different processing equipments. We observed that by performing hydrophobic surface treatment sensitivity of glass beads reduced to the humidity. Furthermore, the influence of the electrostatic charges was an undeniable factor in increasing the viscosity of hydrophobic glass beads and consequently lowering its flowability in front of raw glass beads; at low shear rate. At high shear rate, the powders presented similar behaviors.

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“…Chen et al [30] evaluated the sliding friction coefficient and the interfacial adhesive surface energy between the particles by comparing the macroscopic flow profile of the powder during layering between the numerical and experimental results. Angus et al [31] combined sliding test experiments and DEM simulations of both homogeneous simple shear and the FT4 shear cell to evaluate the coefficients of rolling and sliding friction; they figured out that one single simulation type could not be sufficient to calibrate the DEM parameters. In fact, homogeneous simple shear simulations returned multiple pairs of both the coefficients.…”

Section: Introductionmentioning

confidence: 99%

Calibration of DEM for Cohesive Particles in the SLS Powder Spreading Process

2021

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In this paper, a new DEM calibration procedure based on two different types of procedures to compare simulation with experiments is proposed. The aim is to find the values of the interfacial adhesive surface energy and the coefficient of rolling friction between the particles to be used in the simulation. The approach adopted is the so-called Bulk Calibration method. The experimental values of the angle of repose and unconfined yield strength, found with a static testing method and by shear testing, respectively, are compared, respectively, with the angle of repose, found in a simulation reproducing the experimental procedure, and the unconfined yield strength, obtained from an idealized uniaxial testing procedure. The simulated DEM particles are spheres equipped with the Hertz Mindlin with JKR contact model. The results suggest that a bulk calibration approach is not able to provide results that are consistent with two simple bulk property evaluations and, therefore, direct ways to estimate the surface energy based on the evaluation of interparticle forces, for example, should preferably be adopted.

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Calibrating friction coefficients in discrete element method simulations with shear-cell experiments

Cited by 16 publications

References 47 publications

Contact parameter analysis and calibration in discrete element simulation of rice straw

Contact parameter analysis and calibration in discrete element simulation of rice straw

Powder flow behavior governed by the surface properties of glass beads

Calibration of DEM for Cohesive Particles in the SLS Powder Spreading Process

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