GPU-enhanced DEM analysis of flow behaviour of irregularly shaped particles in a full-scale twin screw granulator

Zheng, Chao; Govender, N.; Zhang, Ling; Wu, Chuanyu

doi:10.1016/j.partic.2021.03.007

Cited by 24 publications

(16 citation statements)

References 52 publications

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“…The project received significant financial, experimental and human capital support from IMT Lille Douai, France enabled upscaling to industrial-scale research using BlazeDEM-GPU [20,21,19,22]. Govender is the primary developer of BlazeDEM-GPU, and continually extending the software's capabilities to expand application domains [23,24,25]. Development contributions to BlazeDEM-GPU include the extension of the broad-phase grid-based spatial partitioning to the boundaryvolume hierarchy (BVH) by Lubbe et al [26,27].…”

Section: Numerical Resultsmentioning

confidence: 99%

Traction chain networks: Insights beyond force chain networks for non-spherical particle systems

Wilke¹

2021

Preprint

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Force chain networks are generally applied in granular materials to gain insight into inter-particle granular contact. For conservative spherical particle systems, i.e. frictionless and undamped, force chains are information complete due to symmetries resulting from isotropy and constant curvature of a sphere. In fact, for conservative spherical particle systems, given the geometry and material, the force chain network uniquely defines the contact state that includes elastic forces, penetration distance, overlap volume, contact areas and contact pressures in a particle system. This is, however, not the case for conservative non-spherical particle systems. The reason is that a force chain network is not sufficient to uniquely define the contact state in a conservative non-spherical particle system. Additional information is required to define the contact state of non-spherical granular systems. Traction chain networks are proposed to complement force chain networks for the improved quantification of the state of contact of a granular system.

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Section: Numerical Resultsmentioning

confidence: 99%

Traction chain networks: Insights beyond force chain networks for non-spherical particle systems

Wilke¹

2021

Preprint

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“…Offers comprehensive data on the development and enlargement of granules at the particle level [70]. Capable of simulating intricate particle geometries and interactions [71].…”

Section: Discrete Element Methods (Dem)mentioning

confidence: 99%

Section: Simulation Of Twin-screw Granulationmentioning

confidence: 99%

“…Zheng, Govender, Zhang, and Wu [ 70 ] thoroughly examine how particle form affects the conveying properties in a full-scale twin-screw granulator. Zheng, Govender, Zhang, and Wu [ 70 ] employed a GPU-enhanced DEM approach to conduct their inquiry. The study examines multiple particle shapes, such as sphere, cube, bilunabirotunda (Biluna), and hexagonal prism (HexP), to model the twin-screw granulation (TSG) process.…”

Section: Simulation Of Twin-screw Granulationmentioning

confidence: 99%

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Process Simulation of Twin-Screw Granulation: A Review

Arthur,

Rahmanian

2024

Pharmaceutics

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Twin-screw granulation has emerged as a key process in powder processing industries and in the pharmaceutical sector to produce granules with controlled properties. This comprehensive review provides an overview of the simulation techniques and approaches that have been employed in the study of twin-screw granulation processes. This review discusses the major aspects of the twin-screw granulation process which include the fundamental principles of twin-screw granulation, equipment design, process parameters, and simulation methodologies. It highlights the importance of operating conditions and formulation designs in powder flow dynamics, mixing behaviour, and particle interactions within the twin-screw granulator for enhancing product quality and process efficiency. Simulation techniques such as the population balance model (PBM), computational fluid dynamics (CFD), the discrete element method (DEM), process modelling software (PMS), and other coupled techniques are critically discussed with a focus on simulating twin-screw granulation processes. This paper examines the challenges and limitations associated with each simulation approach and provides insights into future research directions. Overall, this article serves as a valuable resource for researchers who intend to develop their understanding of twin-screw granulation and provides insights into the various techniques and approaches available for simulating the twin-screw granulation process.

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“…Recently Zheng et al [60] have used DEM to study residence time distributions for dry, cohesionless, mono-sized elastic spheres of various sizes for a fixed configuration of conveying elements with two blocks of kneading elements at various operating RPMs. Zheng et al [61] extended the study further to include the effect of particle shape in the TSG. Spherical particles were observed to have slightly lower mean residence times than particles of other shapes, which were largely the same, regardless of shape.…”

Section: Introductionmentioning

confidence: 99%

Conceptualisation of an Efficient Particle-Based Simulation of a Twin-Screw Granulator

2021

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Discrete Element Method (DEM) simulations have the potential to provide particle-scale understanding of twin-screw granulators. This is difficult to obtain experimentally because of the closed, tightly confined geometry. An essential prerequisite for successful DEM modelling of a twin-screw granulator is making the simulations tractable, i.e., reducing the significant computational cost while retaining the key physics. Four methods are evaluated in this paper to achieve this goal: (i) develop reduced-scale periodic simulations to reduce the number of particles; (ii) further reduce this number by scaling particle sizes appropriately; (iii) adopt an adhesive, elasto-plastic contact model to capture the effect of the liquid binder rather than fluid coupling; (iv) identify the subset of model parameters that are influential for calibration. All DEM simulations considered a GEA ConsiGma™ 1 twin-screw granulator with a 60° rearward configuration for kneading elements. Periodic simulations yielded similar results to a full-scale simulation at significantly reduced computational cost. If the level of cohesion in the contact model is calibrated using laboratory testing, valid results can be obtained without fluid coupling. Friction between granules and the internal surfaces of the granulator is a very influential parameter because the response of this system is dominated by interactions with the geometry.

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GPU-enhanced DEM analysis of flow behaviour of irregularly shaped particles in a full-scale twin screw granulator

Cited by 24 publications

References 52 publications

Traction chain networks: Insights beyond force chain networks for non-spherical particle systems

Traction chain networks: Insights beyond force chain networks for non-spherical particle systems

Process Simulation of Twin-Screw Granulation: A Review

Conceptualisation of an Efficient Particle-Based Simulation of a Twin-Screw Granulator

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