The Influence of Wind Speed on Pneumatic Conveying Characteristics of Solid Feed in Horizontal Pipe by Simulation and Experiment
Source abstract
Abstract
Pneumatic conveying technology is an efficient, energy-saving and environmentally friendly means of solid feed conveying. In the process of pneumatic conveying, wind speed has a decisive influence on conveying characteristics. Here, computational fluid dynamics coupled with a discrete element method simulation and experiment were combined, and the conveying wind speed was used as the experimental variable to study the conveying characteristics of the conveying material in the tube, such as particle distribution state, solid phase mass concentration, coupling force on solid feed, average speed and pressure drop of solid feed in the pipe. The results show that when the conveying wind speed increases from 18 m/s to 20.6 m/s, the solid feed changes from sedimentary flow to suspended flow, the particle accumulation gradually decreases and the conveying efficiency is significantly improved. The particle slug greatly reduces the collision and friction between the internal particles and the pipe and reduces the crushing rate to a certain extent. When the conveying wind speed is about 23.2 m/s, there are almost no trapped particles in the pipeline, which can achieve rapid feed delivery, and conveying efficiency is greatly improved. Therefore, this paper provides a good theoretical basis for improving conveying efficiency and reducing crushing rate in the process of pneumatic conveying.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Granular flow and fluidized beds · Belt Conveyor Systems Engineering · Vibration and Dynamic Analysis
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Mechanical and Power Engineering, Zhengzhou University, Zhengzhou 450001, China
School of Chemistry, Zhengzhou University, Zhengzhou 450001, China
Wellington Institute, Zhengzhou University, Zhengzhou 450001, China
Funding
National Natural Science Foundation of China · Natural Science Foundation of Henan Province
References (34)
Show source-provided references
1. Wang, J., and Hu, X. (2023). Factors Influencing Disease Prevention and Control Behaviours of Hog Farmers. Animals, 13.10.3390/ani13050787 ↗
2. Li, C., Wang, G., Shen, Y., and Amètépé Nathanaël Beauclair, A. (2024). The Effect of Hog Futures in Stabilizing Hog Production. Agriculture, 14.10.3390/agriculture14030335 ↗
3. Lin, J., and Lou, J. (2008). Research Status and Development Trend of Pneumatic Conveying System. Light Ind. Mach., 4–7.
4. Bend pressure drop in horizontal and vertical dilute phase pneumatic conveying systems10.1016/j.ces.2019.115228 ↗
5. An investigation into pressure drop through bends in pneumatic conveying systems10.1080/02726351.2019.1676348 ↗
6. Beaulac, P., Issa, M., Ilinca, A., and Brousseau, J. (2022). Parameters Affecting Dust Collector Efficiency for Pneumatic Conveying: A Review. Energies, 15.10.3390/en15030916 ↗
7. Research on movement characteristic parameters of MSW under pneumatic conveying environment10.1007/s13762-023-05406-6 ↗
8. Study on flow characteristics of vertical pneumatic conveying of stiff shotcrete materials based on CFD-DEM10.1016/j.powtec.2024.119716 ↗
9. Numerical analysis of particle injection effect on gas-liquid two-phase flow in horizontal pipelines using coupled MPPIC-VOF method10.1016/j.apt.2023.104235 ↗
10. Dense-Phase Pneumatic Conveying Technology for Highly Explosive Metal Powders10.1080/02726350701759027 ↗
11. Yang, D., Wang, Y., and Hu, Z. (2020). Research on the Pressure Dropin Horizontal Pneumatic Conveying for Large Coal Particles. Processes, 8.10.3390/pr8060650 ↗
12. Ma, G., Ma, H., and Sun, Z. (2022). Simulation of Two-Phase Flow of Shotcrete in a Bent Pipe Based on a CFD–DEM Coupling Model. Appl. Sci., 12.10.3390/app12073530 ↗
13. CFD simulation methodology for gas-solid flow in bypass pneumatic conveying—A review10.1016/j.applthermaleng.2017.05.063 ↗
14. CFD-DEM simulation of pneumatic conveying in a horizontal pipe10.1016/j.powtec.2020.06.054 ↗
15. Coupling of discrete element model (DEM) with computational fluid mechanics (CFD): A validation study
16. Prediction of Horizontal Pneumatic Conveying of Large Coal Particles Using Discrete Phase Model10.1155/2020/1967052 ↗
17. Solid friction coefficient in a horizontal straight pipe of pneumatic conveying10.1016/j.cherd.2023.07.001 ↗
18. Numerical simulation of dense-phase pneumatic transport of powder in horizontal pipes10.1016/j.powtec.2019.10.057 ↗
19. Discrete particle simulation of two-dimensional fluidized bed10.1016/0032-5910(93)85010-7 ↗
20. Discrete particle simulation of particulate systems:theoretical developments10.1016/j.ces.2006.12.089 ↗
21. Numerical investigation of the mixing of non-spherical particles in fluidized beds and during pneumatic con-veying10.1016/j.proeng.2015.01.220 ↗
22. Modelling of gas–solid tur-bulent channel flow with non-spherical particles with large stokes numbers10.1016/j.ijmultiphaseflow.2014.10.006 ↗
23. EDEM-FLUENT coupled simulation of coal-gas outburst two-phase flow10.1177/01445987211023853 ↗
24. Analysis of sediment transport in sewer pipes using a coupled CFD-DEM model and experimental work10.1080/1573062X.2019.1669187 ↗
25. Zhang, J., Chang, Z., Niu, F., Zhang, H., Bu, Z., Zheng, K., and Ma, X. (2023). EDEM and FLUENT Parameter Finding and Verification Study of Thickener Based on Genetic Neural Network. Minerals, 13.10.3390/min13070840 ↗
26. Drame, A.S., Wang, L., and Zhang, Y. (2021). Granular Stack Density’s Influence on Homogeneous Fluidization Regime: Numerical Study Based on EDEM-CFD Coupling. Appl. Sci., 11.10.3390/app11188696 ↗
27. CFD-DEM modelling of sediment transport in sewer systems under steady and unsteady flow conditions10.2166/wst.2020.030 ↗
28. Wang, C., Li, W., Li, B., Jia, Z., Jiao, S., and Ma, H. (2023). Study on the Influence of Different Factors on Pneumatic Conveying in Horizontal Pipe. Appl. Sci., 13.10.3390/app13095483 ↗
29. Pickup (critical) velocity of particles10.1016/j.powtec.2005.08.009 ↗
30. Yang, L., and Xie, Y.H. (2006). Pneumatic Conveying Engineering, China Machine Press. [1st ed.].
31. Li, S.J., and Zhou, X.J. (1992). Theory and Application of Pneumatic Conveying, China Machine Press. [1st ed.].
32. A resolved CFD-DEM method based on the IBM for sedimentation of dense fluid-particle flows10.1016/j.compfluid.2021.104968 ↗
33. Coupled CFD-DEM method for soils incorporating equation of state for liquid
34. Zhou, N.R., and Zhu, F.D. (1981). Pneumatic Conveying Principle and Design Calculation, Henan Science and Technology Press.