Discrete element method modeling of non-spherical granular flow in rectangular hopper

He, Tianfeng; Jin, Baosheng; Wang, Zhong; Wang, Xiaofang; Ren, Bing; Yong, Zhang; Xiao, Rui

doi:10.1016/j.cep.2010.01.006

Cited by 104 publications

(49 citation statements)

References 18 publications

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“…Cleary and Sawley [31] used DEM simulations to predict reductions in flow rates of up to 28 % to non-circular particle shapes. Further DEM studies on particles shape and hopper discharge for pharmaceutical and other applications were performed by Hohner et al [32] and Tao et al [33].…”

Section: Hoppers and Feedersmentioning

confidence: 98%

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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Section: Hoppers and Feedersmentioning

confidence: 98%

Discrete Element Modeling of Solid Dosage Manufacturing Processes

Barrasso

Ramachandran

2016

Methods in Pharmacology and Toxicology

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“…The original version that Cundall and Strack developed uses rigid discs or spheres to model the Fig. 13 Correlations between measured and predicted RQD values individual elements, but more complex shapes have also been introduced by Karrech et al (2008), Tao et al (2010), Lu et al (2015). As discontinuities/ fragmentation in DEM can be produced through the loss of adhesive contact between the particles, the DEM has been regarded by some researchers as an effective tool for modelling of rocks undergoing cracking/fragmentation (Onate and Rojek 2004;Azevedo and Lemos 2006;Komoroczi et al 2013) and layered and granular geological materials (Kruggel-Emden et al 2007;Buechler et al 2013).…”

Section: Discrete Element Methodsmentioning

confidence: 99%

Computational monitoring in real time: review of methods and applications

Dyskin

Başarır

Doherty

et al. 2018

Geomech. Geophys. Geo-energ. Geo-resour.

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Continuous monitoring of mechanical parameters determining the state of natural and manmade systems is essential in a wide range of engineering disciplines from mechanical to civil and geotechnical engineering. To be effective, the monitoring response time needs to be commensurate with the characteristic time of variation of the processes being monitored e.g. from seconds as for example in some machinery, to weeks and months for mining excavations and years in the case of structures. The methods of measurement can therefore differ significantly for different applications. In spite of this, the methods of information processing-the computational monitoring-have considerable commonality. This review focuses on the methods of computational monitoring in solid and structural mechanics problems in different engineering applications. The traditional methods of monitoring are reviewed along with the corresponding computational and measurement methods. The basic principles of the computational monitoring in real time are established.

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“…These motion behaviors, however, are extraordinarily difficult to model due to particle-to-particle and particle-to-pan collisions. Some studies have been conducted to simulate the motion of particles in a wall [4][5][6][7]. Tao et al [4] developed a discrete element method (DEM) to simulate the corn-shaped particle flow in an inactive hopper.…”

Section: Introductionmentioning

confidence: 99%

“…Some studies have been conducted to simulate the motion of particles in a wall [4][5][6][7]. Tao et al [4] developed a discrete element method (DEM) to simulate the corn-shaped particle flow in an inactive hopper. Kim et al [5] analyzed ball movements in the rotated mill for research of grinding mechanism.…”

Section: Introductionmentioning

confidence: 99%

Numerical simulations of motion behaviors of pan mechanism in a cooking robot with granular cuisine

Chen

Deng

2011

J Mech Sci Technol

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A discrete element method (DEM) model under a specific movement of wall is developed to simulate the motion behaviors of pan mechanism in a cooking robot with granular cuisine. Two performance indices describing the featured motion in Chinese cuisine are proposed to determine the main influential factors on motion behaviors. A series of simulation experiments is conducted under various conditions, and simulation results are presented to establish the relationship between the performance indices and the main influential factors. A few cuisine experiments are carried out to verify the effectiveness of these simulation results, which provide the theoretical basis and practical guideline for the design, optimization, and application of pan mechanism.

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Discrete element method modeling of non-spherical granular flow in rectangular hopper

Cited by 104 publications

References 18 publications

Discrete Element Modeling of Solid Dosage Manufacturing Processes

Discrete Element Modeling of Solid Dosage Manufacturing Processes

Computational monitoring in real time: review of methods and applications

Numerical simulations of motion behaviors of pan mechanism in a cooking robot with granular cuisine

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