Parameter calibration of discrete element method modelling for cohesive and non-spherical particles of powder

Hoshishima, Chiho; Ohsaki, Shuji; Nakamura, Hideya; Watano, Satoru

doi:10.1016/j.powtec.2021.03.044

Cited by 34 publications

(8 citation statements)

References 32 publications

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“…A rotating drum was used to measure the continuous flow behaviour of the material. A clear, dynamic angle of repose could be identified for the material in its dry state, similar to that in other studies where non-cohesive and slightly cohesive materials were used [8,32,132]. However, with the introduction of moisture, the behaviour of the material changed significantly, and it was no longer possible to define the angle of repose.…”

Section: Methodology 10: Calibrating Non-cohesive and Cohesive Parame...supporting

confidence: 81%

Review: The Calibration of DEM Parameters for the Bulk Modelling of Cohesive Materials

Coetzee

Scheffler

2022

Processes

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Granular materials are abundant in nature, and in most industries, either the initial constituents or final products are in granular form during a production or processing stage. Industrial processes and equipment for the handling of bulk solids can only be improved if we can understand, model and predict the material behaviour. The discrete element method (DEM) is a numerical tool well-suited for this purpose and has been used by researchers and engineers to analyse various industrial applications and processes. However, before any bulk scale modelling can be undertaken, the input parameters must be carefully calibrated to obtain accurate results. The calibration of parameter values for non-cohesive materials has reached a level of maturity; however, the calibration of cohesive materials requires more research. This paper details the most prevalent contact models used to model cohesive materials—presented in a consistent notation. Moreover, the significant differences between the models are highlighted to provide a reference for engineers and researchers to select the most appropriate model for a specific application. Finally, a critical review of calibration experiments and methodologies often used for cohesive materials is also presented. This provides a solid basis for DEM practitioners to select the most appropriate calibration methodology for their application and for researchers to extend the current state-of-the-art practices.

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Section: Methodology 10: Calibrating Non-cohesive and Cohesive Parame...supporting

confidence: 81%

Review: The Calibration of DEM Parameters for the Bulk Modelling of Cohesive Materials

Coetzee

Scheffler

2022

Processes

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“…The rotating container is widely used in agricultural engineering fields, including material mixing, drying, and seed coating [26]. This study used a rotating container experiment to evaluate the mixing characteristics of the developed seed bonded-particle model.…”

Section: Rotating Containermentioning

confidence: 99%

Research on the Population Flow and Mixing Characteristics of Pelleted Vegetable Seeds Based on the Bonded-Particle Model

Xu,

Sun,

et al. 2024

Agriculture

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In order to precisely reproduce the precise seeding process of the population in the air-suction seed-metering device, it is necessary to execute accurate modeling of seed particles using the bonded-particle model, in combination with the discrete element method (DEM) and computational fluid dynamics (CFD). Through the repose angle, slope screening, rotating container, and particle sedimentation experiments, in this paper, the influence of the filling accuracy of the bonded-particle model on the flow behavior and mixing characteristics of the seed population was first explored based on EDEM software. The viability of the suggested modeling approach for pelleted vegetable seeds, as described in this study, was confirmed by comparing experimental and simulation outcomes. The surface roughness values obtained from the studies above were utilized to assess the accuracy of the bonded-particle model in filling. Additionally, a mathematical technique for determining the surface roughness was provided. Furthermore, an analysis of the multiple contacts in the bonded-particle model was also performed. The results indicated that the simulation results closely matched the experimental data when the number of sub-spheres in the bonded-particle model was equal to or more than 70, as measured by the standard deviation. In addition, the most optimal modeling scheme for the pelletized vegetable seed bonded-particles, based on the cost of coupling simulation, was found to be the bonded-particle surface roughness (BS) with a value of 0.1. Ultimately, a practical example was utilized to demonstrate the utilization of the pelleted vegetable seed bonded-particle model and the DEM-CFD coupling approach in analyzing the accuracy of the seeding process in the air-suction seed-metering device. This example will serve as a valuable reference point for future field studies.

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“…This process is carried out by mapping a laboratory test that determines a physical property of bulk material, for example reflecting a test of the natural angle of repose, measuring the bulk density, etc [30,31], physical properties of bulk material, and then reflecting these tests to determine the input parameters of the model [32,33].…”

Section: Fig 2 Algorithm Of Calibration Procedures For the Dem Materi...mentioning

confidence: 99%

Numerical Simulations of the Exploitation Parameters of the Rotary Feeder

Karwat

Rubacha

Stańczyk

2022

Management Systems in Production Engineering

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The article presents the problems of determining the mass efficiency of a rotary feeder depending on the selection of design parameters of the device, such as outer diameter, number of blades and rotational speed of the rotor. The hitherto theoretical methods of calculating the feeder efficiency were presented, as well as a new method of determining the device operation parameters was proposed. For this purpose, the numerical Discrete Element Method was used, which allowed simulating the transport of limestone powder in a cell feeder with various design variants. The results of the tests showed that the above design parameters affect the instantaneous efficiency of the feeder and thus impact the distribution of the dosed material during the operation of the device. Depending on the design solution, the simulation results gave information on the fill factor of the feeders. The study showed a significant potential of DEM simulation in the design of circular feeders intended for dosing bulk materials.

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Parameter calibration of discrete element method modelling for cohesive and non-spherical particles of powder

Cited by 34 publications

References 32 publications

Review: The Calibration of DEM Parameters for the Bulk Modelling of Cohesive Materials

Review: The Calibration of DEM Parameters for the Bulk Modelling of Cohesive Materials

Research on the Population Flow and Mixing Characteristics of Pelleted Vegetable Seeds Based on the Bonded-Particle Model

Numerical Simulations of the Exploitation Parameters of the Rotary Feeder

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