Discrete element simulation for pneumatic conveying of granular material

Lim, Ee Peng; Wang, Chi Hwa; Yu, Aibing

doi:10.1002/aic.10645

Cited by 61 publications

(11 citation statements)

References 20 publications

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“…Currently, there has been a lot of research work focused on developing a numerical method for the pneumatic conveying of granular materials [21][22][23][24][25][26][27]. One of the commonly used approaches is the Eulerian/Lagrangian method, where particles are tracked in a Lagrangian frame of reference either individually or as groups with identical properties [28,29].…”

Section: Introductionmentioning

confidence: 99%

Numerical Method for System Level Simulation of Long-Distance Pneumatic Conveying Pipelines

Zhou

Fang

2022

Mathematics

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Pneumatic conveying pipelines (PCPs) provide an effective manner for long-distance transport of capsules because of their advantages in high speed, superior safety, and full automation. For better development of PCPs, a system-level simulation tool is desired, but not yet available. In this work, a new 1D model describing systemic dynamics of airflow and capsule movement in PCPs is presented, and 3D simulation is proposed to obtain the characteristic coefficients in the 1D model. The complete model accounts for those phenomena that most profoundly affect the performance of PCPs, such as the 3D layout of the pipeline, the geometry of capsules, as well as the compressibility of air in a long pipeline. A finite volume method is also presented to numerically calculate the model equations, and thereby realize the successful system-level simulation of practical PCPs for the first time. Experimental data were used for validation. For a 550 m-long and small-diameter (27.86 mm) PCP, the errors of predicted conveying times were within 4.43%. For another 30 m-long and large-diameter (125.6 mm) PCP, the errors of predicted conveying time and maximum capsule velocity were within 1%. By enabling readily and accurate prediction of the conveying process, the method provides a feasible tool for the design and application of PCP systems.

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Section: Introductionmentioning

confidence: 99%

Numerical Method for System Level Simulation of Long-Distance Pneumatic Conveying Pipelines

Zhou

Fang

2022

Mathematics

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“…Particle models are one of the earliest applications of computer simulation, first appearing in 1957 [1]. Initially, the technique could only be applied to relatively simple problems due to limitations in the available computational resources; however, modern applications of particle-based methods include both complex applied engineering problems [2][3][4] and fundamental research into coupled fluid-particle problems [5][6][7]. These simulations typically require accurate descriptions of fluid-particle and fluid-boundary interactions at both the macroscopic scale, such as in the optimization of fluidized bed reactors [8][9][10][11], and on the microscopic scale, such as in colloidal suspensions [12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Robust event-driven particle tracking in complex geometries

Strobl

Bannerman

Pöschel

2020

Computer Physics Communications

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, T. (Accepted/In press). Robust event-driven particle tracking in complex geometries. Computer Physics Communications. General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. ? Users may download and print one copy of any publication from the public portal for the purpose of private study or research. ? You may not further distribute the material or use it for any profit-making activity or commercial gain ? You may freely distribute the URL identifying the publication in the public portal ? Take down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.

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“…The development of the softsphere approach and discussion can be found in many references such as Refs. [1][2][3][4][5][6][7][8][9][10], while some selected examples of its use are [11][12][13] among many others.…”

Section: Introductionmentioning

confidence: 99%

Extension of the hard-sphere model for particle-flow simulations

2020

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Discrete element methods require appropriate models for particle-particle collisions. Usually, researchers use soft-sphere types of models where the collision dynamics is solved numerically. This makes the simulation computationally expensive. In this paper, however, we show a hard-sphere model that uses ready analytic formulas that relate the pre-and postcollisional velocities of the particles in contact. This hard-sphere model is an extension of an existing model that uses three input parameters. For this, we applied the linear-spring soft-sphere model, where analytic relations can be found. These relations were implemented into the standard hard-sphere model. As a result, we obtain a robust hard-sphere model that is more accurate than the standard one and is still computationally cheap.

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Discrete element simulation for pneumatic conveying of granular material

Cited by 61 publications

References 20 publications

Numerical Method for System Level Simulation of Long-Distance Pneumatic Conveying Pipelines

Numerical Method for System Level Simulation of Long-Distance Pneumatic Conveying Pipelines

Robust event-driven particle tracking in complex geometries

Extension of the hard-sphere model for particle-flow simulations

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