Discrete element simulation for mixing performances and power consumption in a twin-blade planetary mixer with non-cohesive particles

Long, Jiecai; Wang, Can; Zhu, Jihong; Zhan, Xueying; Sun, Zhuang; Shen, Baojun; Li, Xiwen

doi:10.1016/j.apt.2022.103437

Cited by 11 publications

(5 citation statements)

References 46 publications

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“…As in Equations ( 1) and ( 2), the translational velocity v i and rotational velocity ω i of the particle i are governed by Newton's second law of motion [1,41]:…”

Section: Demmentioning

confidence: 99%

“…Granular materials are widely used in industrial and agricultural processes, including food, pharmaceutical and chemical industries [1][2][3][4], where the gravity flow discharge of particles from silos is a major area of interest for its close relation to production efficiency [5]. Previous research is mainly focused on flow patterns [6,7], stress fields [8,9], velocity profiles [10], mass flow rate [11] and so on [12].…”

Section: Introductionmentioning

confidence: 99%

“…Discrete element simulation (DEM) is widely used in granular matter investigation [1,[30][31][32][33], which outperforms experimental methods in rapidness, costeffectiveness and informativeness [18,[34][35][36]. Li et al [18] analyzed the flow pattern of particles using the whole-field residence time distribution.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Study on Residence Time Distribution of Particles in a Quasi-Two-Dimensional Batch Discharge Silo Using the Multi-Simulation Averaging Method

Zhu,

Xu,

Zheng

et al. 2023

Processes

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As the primary carrier for storing and transporting particles, the silo is widely used in the production process. The RTD is a promising method for studying the silo discharge process and has not been studied enough. This paper presents a study on the residence time distribution (RTD) and flow pattern of particles in a two-dimensional flat-bottom batch discharge silo under gravity using experiments and the discrete element method (DEM). Meanwhile, a multi-simulation averaging method is proposed to eliminate local fluctuations in the residence time. The results are as follows. The mean flow rate is 16.85 g·s−1 in simulations, which is only 2.7% larger than the experimental value. In the central area of the silo, the residence time contour lines take on elliptical shapes and the trajectories of particles are straight lines. The particles are distributed along the elliptical residence time contour lines all the time during the discharge process until they flow out of the silo. The particles near the side wall of the silo swiftly flow with a constant acceleration to the central line of the silo along the upper horizontal surface, which has become avalanche slopes, and then flow down the outlet together with the particles in the radial flow region. In this study, an elliptical distribution law during the silo discharge process was funded for the first time. An improved radial flow model was proposed with a higher accuracy and clearer physical meaning, which will be helpful in silo design and scaling up in industrial applications.

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“…As in Equations ( 1) and ( 2), the translational velocity v i and rotational velocity ω i of the particle i are governed by Newton's second law of motion [1,41]:…”

Section: Demmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Study on Residence Time Distribution of Particles in a Quasi-Two-Dimensional Batch Discharge Silo Using the Multi-Simulation Averaging Method

Zhu,

Xu,

Zheng

et al. 2023

Processes

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“…Jin et al [13] Used response surface methodology and central composite design to quantify the importance of the different parameters and to derive an empirical model for the degree of mixing using filling volume, blade speed, and particle size as factors and Lacey's mixing index as an index. Long et al [14] quantitatively analyzed the mixing performance and power consumption of a twobladed planetary stirrer composed of non-viscous particles based on EDEM simulation.…”

Section: Introductionmentioning

confidence: 99%

Optimisation of soil-agent particle distribution in a new chain plate soil remediation device based on discrete element

Wang,

Zhu,

Wang

et al. 2024

Preprint

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To improve the working efficiency of the in-situ soil remediation equipment, this paper takes black soil particles as the object, and the structural design of the new chain plate soil remediation equipment is carried out based on Solidworks.The mixing process of soil and chemicals under different parameters was investigated using the discrete element method and the orthogonal test method. The experimental designs were all based on horizontal movement speed, chain knife speed, screw speed, and uniform mixing distance as test factors and discrete coefficient and soil fragmentation rate as indices. The test method uses a unidirectional test to determine the value of the reference centre level for the orthogonal test and a combined balancing method to determine and validate the optimum parameters of the soil remediation device. The optimised parameters were determined as follows: the horizontal movement speed of the mechanism is 0.15 m/s, the rotational speed of the chain knife is 5.25 m/s, the rotational speed of the screw is 187.5 rpm, and the homogeneous mixing pitch is 98mm, respectively. The dispersion coefficient was reduced by 7.43% and the soil fragmentation rate increased by 5.45% compared to the operating parameters of the baseline group.

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“…Various correlations for determining the mixing power requirements of liquids are already available in the literature, but they are still incomplete or specific to solid granular materials. The mixing power requirements of granular materials can be determined by measurement ([1]- [10]) or simulation ( [5], [7]- [22]). However, the description of the mixing power requirement by a mathematical method has only been addressed in a few studies ( [2], [3], [8], [23], [24]).…”

Section: Introductionmentioning

confidence: 99%

Mixing Power Requirement Determination in Agitated Drum Using Dimensional Analysis

Horváth

Poós

2023

IJEMS

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The mixing of granular materials in an agitated drum can be characterized by the dimensionless power equation. The equation was created by dimensional analysis, for which the parameters affecting the mixing power requirement were collected based on the literature. The most important of these are the rotational speed, the drum loading factor, the geometric and physical properties of the mixing drum and the granular materials. The dimensionless power equation is used to estimate with reasonable accuracy the Power number within the given range of applicability , which has been validated by measurements. From the Power number, the mixing power requirement of the mixed granular material can be calculated, which can be used as operational data for selecting the mixing motor.

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Discrete element simulation for mixing performances and power consumption in a twin-blade planetary mixer with non-cohesive particles

Cited by 11 publications

References 46 publications

Study on Residence Time Distribution of Particles in a Quasi-Two-Dimensional Batch Discharge Silo Using the Multi-Simulation Averaging Method

Study on Residence Time Distribution of Particles in a Quasi-Two-Dimensional Batch Discharge Silo Using the Multi-Simulation Averaging Method

Optimisation of soil-agent particle distribution in a new chain plate soil remediation device based on discrete element

Mixing Power Requirement Determination in Agitated Drum Using Dimensional Analysis

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