2021
DOI: 10.1021/acsomega.1c02424
|View full text |Cite
|
Sign up to set email alerts
|

Research on the Influencing Factors and Prediction Model of Impact Airflow in the Process of Unloading of an Ore Pass Based on a Coupled Computational Fluid Dynamics and Discrete Element Method

Abstract: In this paper, a coupled computational fluid dynamics and discrete element method (CFD-DEM) is used to numerically simulate the energy transfer of the ore falling process and the change law of impact airflow velocity under different influencing factors. The results are as follows: the total drag force is an important factor that determines the impact airflow velocity. The greater the total drag force, the greater the impact airflow velocity. The impact airflow velocity increases with the increase of mass flow … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 6 publications
(3 citation statements)
references
References 39 publications
0
3
0
Order By: Relevance
“…Table 2 presents the particle and contact parameters of the limestone particles as well as the tester. 40 As shown in Table 3, the parameters of the crushing model for limestone particles were derived by fitting data from single particle impact crushing experiments. 41,42…”
Section: Setting Of Simulation Parametersmentioning
confidence: 99%
“…Table 2 presents the particle and contact parameters of the limestone particles as well as the tester. 40 As shown in Table 3, the parameters of the crushing model for limestone particles were derived by fitting data from single particle impact crushing experiments. 41,42…”
Section: Setting Of Simulation Parametersmentioning
confidence: 99%
“…The factors are divided into five levels, the level range of ore particle size: 0–10 mm, ore moisture: 1–3%, slip height: 50–150 cm, ore pass inclination: 70°–90°. The orthogonal experimental analysis method, which is the most commonly used multi-factor experimental analysis method 33 – 35 , was proposed in conducting compatibility tests due to only four factors, while the L 25 (5 6 ) standard orthogonal table can be arranged with up to six factors 36 . Consequently, the data in columns 5 and 6 need not be taken into account when designing test cases.…”
Section: Similar Simulation Experiments Of Mine Release From the Ore ...mentioning
confidence: 99%
“…Zuo Miaomiao et al [ 8 ] analyzed the differences between the internal contact force of granular medium and the force chain, porosity, and coordination number in the particle medium after the action of the ultrasonic vibration. Wang Wentao et al [ 12 ] studied the effect of vibration on the dense packing of refractory powder and determined that the average porosity of powder first decreased and then increased with the increase in vibration time, and they pointed out that the compaction effect caused by longitudinal vibration was better than that caused by transverse vibration. Sedaghat et al [ 13 ] proposed a physics-based constitutive model to accurately describe the deformation behavior in the process of ultrasonic-vibration-assisted forming.…”
Section: Introductionmentioning
confidence: 99%