THERMAL SCIENCE

International Scientific Journal

STUDY OF THE WATER CLEANING PROCESS BY USING CFD-DEM METHOD: A CASE STUDY OF COARSE FILTER MATERIAL

ABSTRACT
In this paper, the CFD-DEM coupling method was utilized to study the water cleaning and regeneration process of fibrous filter material. The effects of cleaning flow rate, time and adhesion force on the particle removal process were simulated. The results showed that the particle removal rate had a diminishing marginal effect with the increasing of cleaning flow rate. More than 80% of the particles were removed in the initial period, and then tended to stabilize. The higher the flow rate, the shorter the time needed to achieve stability. For G4 filter material, the function between the particle removal rate and the cleaning flow rate and time was given, and the best cleaning flow rate was 1.2 m/s while the cleaning time was 30 seconds. The surface energy of the fibers plays a dominant role in the cleaning process, and the reduction 1/4 of the surface energy of the particles can effectively improve the cleaning and regeneration performance.
KEYWORDS
PAPER SUBMITTED: 2023-02-06
PAPER REVISED: 2023-03-05
PAPER ACCEPTED: 2023-03-07
PUBLISHED ONLINE: 2023-04-22
DOI REFERENCE: https://doi.org/10.2298/TSCI230206088Z
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2024, VOLUME 28, ISSUE Issue 1, PAGES [65 - 75]
REFERENCES
  1. Zhang, X., et al., Research on Outdoor Design PM2.5 Concentration for Fresh Air Filtration Systems Based on Mathematical Inductions, Journal of Building Engineering, 34 (2021), 101883
  2. Bian, Y., et al., Influence of Fiber Diameter, Filter Thickness, and Packing Density on PM2.5 Removal Efficiency of Electrospun Nanofiber Air Filters for Indoor Applications, Building and Environment, 170 (2020), 106628
  3. Tian, X., et al., Effect of main-Stage Filter Media Selection on The Loading Performance of a Two-Stage Filtration System, Building and Environment, 195 (2021), 107745
  4. Zhang, X., et al., Experimental Study on the Structure and Properties of Modified Non-Woven Filter Fibers by Impregnation with Carbon Black, Journal of Engineered Fibers and Fabrics, 15 (2020), Apr., pp. 1-7
  5. Matela, D., Air Filtration: Green and Clean - How to Improve Indoor Air Quality, Filtration and Separation, 43 (2006), 9, pp. 24-27
  6. Min, K., et al., Silk Protein Nanofibers for Highly Efficient, Eco-Friendly, Optically Translucent, and Multifunctional Air Filters, Scientific Reports, 8 (2018), 1, pp. 1-10
  7. Liu, X. P., et al., Effect of Water Cleaning on Performance of Air Filtration Medias, Advanced Materials Research, 716 (2013), July, pp. 475-481
  8. Stahl, S., et al., The Cleanability of Particle Loaded Woven Filter Media in Solid-Liquid Separation, Separation and Purification Technology, 110 (2013), June, pp. 196-201
  9. Weidemann, C., et al., Removal Mechanisms of Particulate Contaminations from Polymer Woven Filter Media, Separation and Purification Technology, 136 (2014), Nov., pp. 168-176
  10. Baylis, J. R., Review of Filter Bed Design and Methods of Washing, Journal (American Water Works Association), 51 (1959), 11 pp. 1433-1454
  11. Van Staden, S. J., Haarhoff, J., Effective Filter Backwashing with Multiple Washes of Air and Water, Proceedings, 9th WISA Biennial Conference, Durban, South Africa, 2006, pp. 22-24
  12. Zhou, Q. M., et al., Spatiotemporal Distribution of Opportunistic Pathogens and Microbial Community in Centralized Rural Drinking Water: One Year Survey in China, Environmental Research, 218 (2023), 115045
  13. Wu, S., et al., Research Progress on the Cleaning and Regeneration of PM2.5 Filter Media, Particuology, 57 (2021), Aug., pp. 28-44
  14. Bai, Y., et al., Washable Multilayer Triboelectric Air Filter for Efficient Particulate Matter PM2.5 Removal, Advanced Functional Materials, 28 (2018), 15, 1706680
  15. Bowling, R. A., A Theoretical Review of Particle Adhesion, Particles on Surfaces, 1 (1988), pp. 129-142
  16. Sheng, Y., et al., Analysis of Filtration Process of 3-D Mesh Spacer Filter by Using CFD-DEM Simulation, Powder Technology, 396 (2022), Part B, pp. 785-793
  17. Qian, F., et al., Numerical Study of The Gas-Solid Flow Characteristic of Fibrous Media Based on SEM Using CFD-DEM, Powder Technology, 249 (2013), Nov., pp. 63-70
  18. Yao, L., et al., An Optimized CFD-DEM Method for Fluid-Particle Coupling Dynamics Analysis, International Journal of Mechanical Sciences, 174 (2020), 105503
  19. Di, R. A., Maio, F. P. D., Comparison of contact-Force Models for the Simulation of Collisions in DEM-Based Granular Flow Codes, Chemical Engineering Science, 59 (2004), 3, pp. 525-541
  20. Maugis, D., Adhesion of Spheres: The JKR-DMT Transition Using a Dugdale Model, Journal of Colloid and Interface Science, 150 (1992), 1, pp. 243-269
  21. Henry, C., Minier, J. P., Progress in particle Resuspension from Rough Surfaces by Turbulent Flows, Progress in Energy and Combustion Science, 45 (2014), Dec., pp. 1-53
  22. Xie, J., et al., MP-PIC Modelling of CFB Risers with Homogeneous and Heterogeneous Drag Models, Advanced Powder Technology, 29 (2018), 11, pp. 2859-2871
  23. Yue, C.,. et al., Numerical Simulation of the Filtration Process in Fibrous Filters Using CFD-DEM Method, Journal of Aerosol Science, 101 (2016), Nov., pp. 174-187
  24. Cao, B., et al., Pressure Drop Model for Fibrous Media in Depth Filtration: Coupling Simulation of Microstructure and CFD Porous Media during Dust Loading, Building and Environment, 202 (2021), 108015
  25. Liu, H., et al., Progress on Particulate Matter Filtration Technology: Basic Concepts, Advanced Materials, and Performances, Nanoscale, 12 (2020), 2, pp. 437-453
  26. Li, H., et al., Turbulence Model Selection and Flow Field Analysis of the Micro Irrigation Screen Filter Based on Porous Medium Using CFD, Journal of Irrigation and Drainage, 35 (2016), 4, pp. 14-19
  27. Cheng, K., et al., The CFD-DEM Simulation of Particle Deposition Characteristics of Pleated Air Filter Media Based on Porous Media Model, Particuology, 72 (2023), 4, pp. 37-48
  28. Qian, F. P., et al., The CFD-DEM Simulation of the Filtration Performance for Fibrous Media Based on the Mimic Structure, Computers and Chemical Engineering, 71 (2014), Dec., pp. 478-488
  29. Zhang, X., et al., Influence of Fiber Diameter on Filtration Performance of Polyester Fibers, Thermal Science, 23 (2019), 4, pp. 2291-2296
  30. Jackson, G. W., James, D. F., The Permeability of Fibrous Porous Media, The Canadian Journal of Chemical Engineering, 64 (1986), 3, pp. 364-374
  31. Ziskind, G., et al., Resuspension of Particulates from Surfaces to Turbulent Flows - Review and Analysis, Journal of Aerosol Science, 26 (1995), 4, pp. 613-644
  32. Stempniewicz, M. M., et al., Model of Particle Resuspension in Turbulent Flows, Nuclear Engineering and Design, 238 (2008), 11, pp. 2943-2959
  33. Vainshtein, P., et al., Kinetic Model of Particle Resuspension by Drag Force, Physical Review Letters, 78 (1997), 3, pp. 551-554

© 2024 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence