Numerical simulation of particle flow behavior in a screw conveyor using the discrete element method

Wang, Shuyan; Li, Haolong; Tian, Ruichao; Wang, Ruichen; Wang, Xu; Sun, Qiji; Fan, Jiawei

doi:10.1016/j.partic.2018.01.016

Cited by 31 publications

(11 citation statements)

References 25 publications

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“…In the simulations of bulk materials' behavior, the discrete element method (DEM) is used. Numerous simulation studies have confirmed the reliability of the results obtained in the simulations with comparison to the actual measurement results for different machines and devices used for the transportation of bulk materials [9,[24][25].…”

Section: Verification Of Theoretical Design Methods With •mentioning

confidence: 56%

“…The authors of [15,[20][21]25] have shown a good agreement between the results of DEM simulations and the results of experiments in determining a screw conveyor's efficiency. Besides, the research in [20] shows that theoretical models overestimate the values of mass efficiency compared to the actual results.…”

Section: Verification Of Theoretical Design Methods With •mentioning

confidence: 87%

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Optimization of a screw conveyor's exploitation parameters

Karwat¹,

Rubacha²,

Stańczyk³

2021

Eksploatacja i Niezawodność – Maintenance and Reliability

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The paper describes the problem of designing screw conveyors in terms of determining their exploitation characteristics. Based on the actual values of mass efficiency and power demand obtained in a laboratory experiment, the theoretical design methods and the numerical discrete element method model results were verified. The obtained results have shown that the currently used theoretical methods underestimate the mass efficiency and power demand compared to experiments when typical values of filling rate coefficient and progress resistance coefficient are used. It was also shown that the results of DEM simulations are in good agreement with the experiments in terms of mass efficiency and power demand. Based on the exploitation characteristics determined in DEM simulations for different constructions of the screw and different rotational speeds, multi-objective optimization of the exploitation parameters of the screw was performed in order to minimize the power demand of a screw conveyor and simultaneously maximize its mass efficiency. The optimization results showed that it is possible to find such construction and the rotational speed that will maximize the mass efficiency of the conveyor and keep the power demand low, reducing the exploitation costs of the device.

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Section: Verification Of Theoretical Design Methods With •mentioning

confidence: 56%

Section: Verification Of Theoretical Design Methods With •mentioning

confidence: 87%

Optimization of a screw conveyor's exploitation parameters

Karwat¹,

Rubacha²,

Stańczyk³

2021

Eksploatacja i Niezawodność – Maintenance and Reliability

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“…g 𝑗 = 1 − 𝑒 𝑗 (20) 𝜔 𝑗 = 𝑔 𝑗 ∑ 𝑔 𝑗 𝑘 𝑗=1 (21) Where, 𝑃 𝑖𝑗 is contribution of the ith conveying condition for the jth indicator; 𝑒 𝑗 is entropy value for the 𝑗th indicator; g 𝑗 is variability coefficient for the jth indicator; 𝜔 𝑗 is weight for the jth indicator; b is the number of conveying conditions; k is the number of the indicators.…”

Section: Comprehensive Evaluationmentioning

confidence: 99%

“…For example, Owen and Cleary [14] studied the effects of different inclination angles, rotational speeds, and filling rates on the conveying velocity, mass flow rate, power consumption, and energy dissipation, and predicted the screw conveyor performance. Wang et al [20] studied the influence of different rotational speeds and filling rates on mass flow rate, and the results indicated that mass flow rate increased with increasing rotational speed or filling rate increase. Zhao et al [27] studied the influence of internal diameter, pitch, and rotational speed on the conveying capacity.…”

Section: Introductionmentioning

confidence: 99%

The vertical screw conveying characteristics of cohesive particle and optimization of design parameters

Chen¹,

Zhang²,

Li³

et al. 2023

Eksploatacja i Niezawodność – Maintenance and Reliability

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The purpose of this paper is to solve the problem of low conveying efficiency and serious blade wear during vertical screw conveying of cohesive particles. Firstly, the reliability of DEM simulation was verified by comparing the simulated and theoretical values and the influence regularity of different design parameters (rotational speed, pitch, and clearance) on screw conveying characteristics were analyzed based on DEM. In addition, the effect of design parameters on the screw conveying characteristics is identified by ANOVA. Then, the multiobjective optimization model with the both of maximizing the average mass flow rate and minimizing the maximum wear depth of the blade was established using the polynomial fitting regression, which was solved by the non-dominated sorting genetic algorithm (NSGA-II). Finally, the comprehensive evaluation was used to determine the best design parameters. The above research results provide a certain reference for the study of cohesive particle’s vertical screw conveying characteristics and equipment optimization design.

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“…In order to study the complex properties of granular materials in the bulk conveying process, Cundall et al [14,15] proposed the discrete-element method (DEM), and for the first time modelled the conveying performance of the screw conveyor through DEM [16]. Subsequently, DEM simulation had an application in the field of screw conveying to investigate conveying performance and bulk material conveying [17][18][19][20]. In addition, the DEM was also popular and widely utilized in other fields, such as in the chemical industry [21,22], pneumatic conveying [23][24][25], and rock cutting and crushing [26][27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

Loading Performance of a Novel Shearer Drum Applied to Thin Coal Seams

et al. 2021

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The poor loading performance of shearer drums restricts the development and production efficiency of coal in thin coal seams. Changing operation and structural parameters can improve the drum’s loading performance to some extent, but the effect is not obvious. A two-segment differential rotational speed drum (TDRSD) was proposed after analyzing the drum’s influence mechanism on coal particles. To further reveal the drum’s coal loading principle, the velocity, particles distribution, and loading rate were analyzed. The effect of the matching relationship of the rotational speed and helix angle between the front and rear drum are also discussed. The results show that a lower front drum rotational speed had a positive impact on improving the loading performance, and the loading rate first increases and then decreases with the increase in rear drum rotational speed. The optimal loading performance was obtained in the range 60–67.5 rpm. The front drum’s helix angle had no evident effect on loading performance, and the loading rate increase with the increase in the rear drum’s helix angle. The results provide a reference and guidance for operation parameters selection, structure design, and drum optimization.

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Numerical simulation of particle flow behavior in a screw conveyor using the discrete element method

Cited by 31 publications

References 25 publications

Optimization of a screw conveyor's exploitation parameters

Optimization of a screw conveyor's exploitation parameters

The vertical screw conveying characteristics of cohesive particle and optimization of design parameters

Loading Performance of a Novel Shearer Drum Applied to Thin Coal Seams

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