Analysis of seeded granulation in high shear granulators by discrete element method

Hassanpour, Ali; Pasha, Mehrdad; Susana, Laura; Rahmanian, Nejat; Santomaso, Andrea C.; Ghadiri, Mojtaba

doi:10.1016/j.powtec.2012.06.028

Cited by 32 publications

(10 citation statements)

References 10 publications

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“…This work in essence is in line with the previous work by Rahmanian and Ghadiri [13] for taking the advantage of DEM to optimise the formation of seeded granules in continuous granulators. A numerical investigation over the seeded granulation in batch granulators has already been accomplished by Hassanpour et al [14], therefore the main focus of this study is on DEM simulation of granulation of Calcium Carbonate powder in continuous granulators to analyse the flow and mixing behaviour of particles due to different operating parameters.…”

Section: B Seeded Granulationmentioning

confidence: 99%

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An investigation on process of seeded granulation in a continuous drum granulator using DEM

Behjani

Rahmanian

Ghani

et al. 2017

Advanced Powder Technology

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Numerical simulation of wet granulation in a continuous granulator is carried out using Discrete Element Method (DEM) to discover the possibility of formation of seeded granules in a continuous process with the aim of reducing number of experimental trials and means of process control. Simple and scooped drum granulators are utilized to attain homogenous seeded granules in which the effects of drum rotational speed, particles surface energy, and particles size ratio are investigated. To reduce the simulation time a scale-up scheme is designed in which a dimensionless number (Cohesion number) is defined based on the work of cohesion and gravitational potential energy of the particles. Also a mathematical/numerical method along with a MATLAB code is developed by which the percentage of surface coverage of each granule is predicted precisely. The results show that use of continuous granulator is promising provided that a high level of shear is considered in the granulator design, i.e. using baffles inside drum granulators is essential for producing seeded granules. It is observed that the optimum surface energy for seeded granulation in scooped granulator (used in this study) with rotational speed of 50 rpm is 3 J/m 2 , which is close to the value predicted by the concept of Cohesion number.It is also shown that increasing the seed/fine size ratio enhances the seeded granulation both quantitatively (60% increase in seeds surface coverage) and qualitatively (more homogeneous granules).

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Section: B Seeded Granulationmentioning

confidence: 99%

“…The surface tension forces are considered by implementing the particles surface energy in the JKR model and to account for viscous dissipation, a low restitution coefficient is selected [14].…”

Section: B Contact Modelmentioning

confidence: 99%

An investigation on process of seeded granulation in a continuous drum granulator using DEM

Behjani

Rahmanian

Ghani

et al. 2017

Advanced Powder Technology

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“…Kafui and Thornton [83] also used interparticle bonds to model aggregates in a study on spray zones in fluidized beds. Further, Hassanpour et al [84] used this method to simulate seeded granulation.…”

Section: Wet Granulationmentioning

confidence: 99%

Discrete Element Modeling of Solid Dosage Manufacturing Processes

Barrasso

Ramachandran

2016

Methods in Pharmacology and Toxicology

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Solid dosage manufacturing primarily involves powder process operations, such as mixing, granulation, and compaction. A model-based approach can be used to develop a better scientific understanding of these processes and implement Quality by Design. These models must predict the critical quality attributes of the product based on process parameters, equipment geometry, and material properties. Discrete element modeling (DEM) is often used to capture mechanistic, particle-scale information, such as velocity and force profiles. In this chapter, recent literature studies that use the DEM to model solid dosage manufacturing processes will be presented and discussed.

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“…Several professional and free softwares are available for this purpose. Practical applications to a wide range of problems may be found in the recent literature ; however, most of them assume spherical particles. Spheres are simple to code and easy to use, but in many cases, they cannot capture the basic dynamic mechanisms and therefore do not provide the most adequate geometric model for the particles.…”

Section: Introductionmentioning

confidence: 99%

Contributions to the generalization of advancing front particle packing algorithms

Morales

Farias

Valera

et al. 2016

Numerical Meth Engineering

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SUMMARYThe generation of a set of particles with high initial volume fraction is a major problem in the context of discrete element simulations. Advancing front algorithms provide an effective means to generate dense packings when spherical particles are assumed. The objective of this paper is to extend an advancing front algorithm to a wider class of particles with generic size and shape. In order to get a dense packing, each new particle is placed in contact with other two (or three in 3D) particles of the advancing front. The contact problem is solved analytically using wrapping intersection technique. The results presented herein will be useful in the application of these algorithms to a wide variety of practical problems. Examples of geometric models for applications to biomechanics and cutting tools are presented.

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Analysis of seeded granulation in high shear granulators by discrete element method

Cited by 32 publications

References 10 publications

An investigation on process of seeded granulation in a continuous drum granulator using DEM

An investigation on process of seeded granulation in a continuous drum granulator using DEM

Discrete Element Modeling of Solid Dosage Manufacturing Processes

Contributions to the generalization of advancing front particle packing algorithms

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