NUMERICAL STUDY OF THE INFLUENCE OF ARC-SHAPED GUIDE ELEMENTS ON THE EFFICIENCY OF A MULTIVORTEX DUST COLLECTOR-CLASSIFICATOR
HBOPON
DOI:
https://doi.org/10.25712/ASTU.2072-8921.2026.02.035Keywords:
multivortex classifier, fractionation, dispersed particles, guide elements, vortex flow, numerical modeling, particle capture efficiency, pressure drop, static classifierAbstract
One of the priority areas in the field of chemical engineering processes and equipment is the development of high-efficiency devices for the fractionation of fine-dispersed materials. The relevance of this topic is due to the need to improve selectivity in particle separation in industries such as petrochemicals and catalyst manufacturing. This article proposes the design of a multivortex dust collector-classifier of the "pipe-in-pipe" type. Fractional separation is achieved by generating a series of swirling vortices in the annular space between the inner and outer pipes, under the influence of which larger particles are carried to the periphery and deposited in a collection hopper. It is assumed that one of the factors limiting the efficiency of such a device is particle reflection from the channel walls, followed by their re-entrainment into the flow. The aim of this study is to evaluate the influence of arc-shaped guide elements installed in the annular space on the efficiency of the multivortex dust collector-classifier. Numerical modeling of the gas-particle flow and particle trajectories was carried out in a three-dimensional formulation using the ANSYS Fluent software package. Key geometric parameters were varied: the inner pipe diameter (from 43 to 66 mm) and the slot opening ratio in the pipe wall (k from 0.2 to 1). The evaluation criteria included the fractional efficiency of particle capture within the 5-100 μm range and the pressure drop across the device. Simulation results demonstrated that the integration of arc-shaped guide elements increases fractional efficiency by an average of 10.9 % compared to the baseline design. Additionally, pressure losses were reduced by 6,3 % due to stabilization of the multivortex flow structure and reduction of recirculation zones. The best performance was observed at a calculated vortex diameter of 29 mm and slot opening k = 0,6, where the capture efficiency for particles larger than 7 μm exceeds 90 %.
References
Ширинова Д.Б. Классификация полидисперсного порошка молибденита // Евразийский научный журнал. 2016. № 2. С. 127-128.
Экспериментальное определение гидравлического сопротивления упрощённой модели мультивихревого классификатора с соосно расположенными трубами / В.Э. Зинуров [и др.] // Ползуновский вестник. 2022. № 2. С. 108–116. DOI: 10.25712/ASTU.2072-8921.2022.02.015.
Kim S.W., Yeo C.E., Lee D.Y. Effect of fines content on fluidity of FCC catalysts for stable operation of fluid catalytic cracking unit // Energies. 2019. Т. 12, № 2. С. 293. DOI: 10.3390/en12020293
Пахнутова Е.А., Слижов Ю.Г. Физико-химические свойства сорбента на основе силикагеля с привитым комплексом медь-ацетоуксусного эфира // Сорбционные и хроматографические процессы. 2021. Т. 21. № 4. С. 529–539. DOI: 10.17308/sorpchrom.2021.21/3637.
Videira-Quintela D., Martin O., Montalvo G. Emerging opportunities of silica-based materials within the food industry // Microchemical Journal. 2021. № 167. С. 106318. DOI: 10.1016/j.microc.2021.106318.
Silica Gel as a Sorbent and Catalyst Support: Improvement of Technologies and Search for Alternative Production Routes / G.V. Mamontov [et al.] // Catalysis in Industry. 2023. № 3. С. 221–228. DOI: 10.1134/S2070050423030054.
Shapiro M., Galperin V. Air classification of solid particles: a review // Chemical Engineering and Processing: Process Intensification. 2005. № 2. С. 279-285. DOI: 10.1016/j.cep.2004.02.022.
CFD simulation and parameter optimization of the internal flow field of a disturbed air cyclone centrifugal classifier / L. Huang [et al.] // Separation and Purification Technology. 2023. Т. 307. С. 122760. DOI: 10.2139/ssrn.4227862.
Ахмадиев Ф.Г., Гиззятов Р.Ф., Назипов И.Т. Расчет многоярусных ситовых классификаторов для разделения зернистых материалов по размерам // Математические методы в технике и технологиях – ММТТ. 2019. Т. 8. С. 54-61.
Повышение производительности ситовых барабанных классификаторов / А.Л. Фалько [и др.] // Вестник Донского государственного аграрного университета. 2015. № 4-1(18). С. 54.
Lanzerstorfer C. Application of air classification for improved recycling of sinter plant dust // Resources, Conservation and Recycling. 2015. № 94. С. 66-71. DOI: 10.1016/j.resconrec.2014.11.013.
CFD-based structural optimization of rotor cage for high-efficiency rotor classifier / X. Mou [et al.] // Processes. 2021. № 9(7). С. 1148. DOI: 10.3390/pr9071148.
Computational fluid dynamics simulation and performance study of a three-separation combined air classifier / C. Hui [et al.] // Thermal Science. 2024. № 28(2 Part C). С. 1589-1603.
Yu Y., Liu J., Li G. Empirical study of classification process for two-stage turbo air classifier in series // Chinese Journal of Mechanical Engineering. 2013. № 26(3). С. 526-531. DOI: 10.3901/CJME.2013.03.526
Cyclone separator for air particulate matter personal monitoring: a patent review / M.O. Rivera-García [et al.] // Atmosphere. 2023. № 14(4). С. 624. DOI: 10.3390/atmos14040624
A new static cyclonic classifier: Flow characteristics, performance evaluation and industrial applications / Z. Sun [et al.] // Chemical Engineering Research and Design. 2019. № 145. С. 141–149. DOI: 10.1016/j.cherd.2019.03.018
Investigation into the effects of various parameters on the performance and classification potential of a cyclone classifier / M.E. Caliskan [et al.] // Powder Technology. 2019. № 356. С. 102–111. DOI: 10.1016/j.powtec.2019.07.104.
Разработка классификатора с соосно расположенными трубами для разделения сыпучего материала на основе силикагеля / В. Э. Зинуров [и др.] // Ползуновский вестник. 2021. № 2. С. 205-211. DOI: 10.25712/ASTU.2072-8921.2021.02.029.
Zinurov, V.E., Kharkov, V.V., Madyshev, I.N. Numerical simulation of pressure loss in a classifier with coaxial pipes // Mining Informational and Analytical Bulletin. 2022. № 10-1, С. 173-181. DOI: 10.25018/0236_1493_2022_101_0_173.
Numerical Study of Vortex Flow in a Classifier with Coaxial Tubes / V. Zinurov [et al.] // International Journal of Engineering & Technology Innovation. 2022. Т. 12, № 4. DOI: 10.46604/ijeti.2022.9568.
The Influence of the Design of a Static Multi-Vortex Classifier on the Efficiency Fractionation of Silica Gel Particles / V. E. Zinurov [et al.] // Theoretical Foundations of Chemical Engineering. 2024. С. 1-6. DOI: 10.1134/S0040579524600992.
Промышленные испытания фракционирования сыпучего материала в мультивихревом классификаторе-сепараторе / В. Э. Зинуров [и др.] // Вестник Технологического университета. 2022. Т. 25, № 4. С. 58–63. DOI: 10.55421/1998-7072_2022_25_4_58.
Численное исследование влияния геометрических параметров мультивихревого классификатора на эффективность фракционирования частиц / М. А. Прец [и др.] // Вестник Технологического университета. 2025. Т. 28, № 4. С. 63–68. DOI: 10.55421/3034-4689_2025_28_4_63.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Vadim E. Zinurov, Mariia A. Prets
This work is licensed under a Creative Commons Attribution 4.0 International License.
.
This work is licensed under a 
