Науковий вісник НГУ

Coefficient of local loss of mechanical energy of the flow for a ­mixture of charge materials

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Category: Content №2 2021

Last Updated on 29 April 2021

Published on 30 November -0001

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Authors:

A.Selegej, orcid.org/0000-0003-3161-5270, National Metallurgical Academy of Ukraine, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

V.Ivaschenko, orcid.org/0000-0001-5195-2552, National Metallurgical Academy of Ukraine, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

V.Golovko, orcid.org/0000-0001-5638-6991, National Metallurgical Academy of Ukraine, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

R.Kiriya, orcid.org/0000-0003-4842-7188, Institute of Geotechnical Mechanics named by N.Poljakov, Dnipro, Ukraine, -mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

L.Kvasova, orcid.org/0000-0002-7146-3788, National Metallurgical Academy of Ukraine, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

повний текст / full article

Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2021, (2): 026 - 031

https://doi.org/10.33271/nvngu/2021-2/026

Abstract:

Purpose. To determine the dependence of the coefficient of local losses of mechanical energy of flow of a two-component mixture of charge material on its depth, content of components, and average equivalent diameter of particles in the case of their free-dispersed motion.

Methodology. The value of the coefficient of local losses of mechanical energy was determined by the value of the hydraulic resistance of the fluid during its movement in open channels and pipes. In this paper, methods were used of comparative analysis, mathematical modeling and forecasting of dynamic processes in the flow of granular material.

Findings. Based on the results of theoretical studies, a mathematical model was obtained, the use of which allows calculating the coefficient of local losses of mechanical energy for the flow of a two-component mixture of charge materials with agglomerate particle sizes from 15 to 50 mm, pellets from 6 to 12 mm, coke from 10 to 60 mm. The developed model with satisfactory accuracy makes it possible to evaluate the movement of the charge from the indicated materials along the paths of the charging devices of blast furnaces at a speed in the range from 1.5 to 20 m/s and to determine the trajectories of the mixture of charge materials on the top with an accuracy of 0.2 m. It is noted that the calculation of the above coefficient by the known techniques is not accurate enough, which is associated with the uncertainty in the choice of a single average equivalent diameter of the particles of the two-component charge. Comparative analysis of the developed model with the known models and experimental data indicates that the accuracy of calculating the dynamic parameters of a two-component flow of charge materials using the developed model increases by 510% in comparison with calculations using the previously known models.

Originality. For the first time, regularities of changes in the coefficient of internal mechanical losses of a two-component flow of charge materials from its depth, content of components, average equivalent particle diameters when moving along the paths of charging devices of blast furnaces have been established.

Practical value. Mathematical dependencies have been developed and can be used to determine the technological parameters of the charge of a modern blast furnace with different characteristics of the granulometry of the charge and the ratios of its components. This will increase the accuracy of predicting the course of the process under consideration, the degree of automation of the control systems for the technological process of the charge supply of blast furnaces, will make it possible to use expensive charge materials more efficiently, reduce energy consumption and reduce the harmful impact on the environment.

Keywords: charge, blast furnace, charging device, energy, mixture

References.

1. Yoichi Narita, Hiroshi Mio, Takashi Orimoto, & Seiji Nomura (2017). DEM Analysis of Particle Trajectory in Circumferential Direction at Bell-less Top. ISIJ International, 57. https://doi.org/10.2355/isijinternational.ISIJINT-2016-560.

2. Fang Hu, & Peng Hu (2020). A novel approach to investigate the network of granular material using modified 3D DEM simulation. IOP Conference Series: Earth and Environmental Science, 474 072037. https://doi.org/10.1088/1755-1315/474/7/072037.

3. Reichhardt, C.J.O., & Reichhardt, C. (2018). Avalanche dynamics for active matter in heterogeneous media. New Journal of Phyics, 20. 025002. https://doi.org/10.1088/1367-2630/aaa392.

4. Singh, A., Magnanimo, V., Saitoh, K., & Luding, S. (2015). The role of gravity or pressure and contact stiffness in granular rheology. New Journal of Phyics, 17. 043028. https://doi.org/10.1088/1367-2630/17/4/043028.

5. Frolov, A.L., Frolova, O.A., Sumina, R.S., & Sviridova,E.N. (2020). Mathematical modeling of axisymmetric flow of granular materials. Journal of Physics: Conference Series, 1479. 012115. https://doi.org/10.1088/1742-6596/1479/1/012115.

6. Rokitowski, P., & Grygierek, M. (2019). Initial Research on Mechanical Response of Unbound Granular Material under Static Load with Various Moisture Content. Materials Science and Engineering, 471. 032040. https://doi.org/10.1088/1757-899X/471/3/032040.

7. Ivaschenko, V.P., Kiriya, R.V., Selegej, A.M., Golovko,V.I., Ribalchenko, M.O., Papanov, G.A., & Selegej, S.N. (2017). Determination of parameters of shield discharge from bunkers of the infinite loading device of the blast furnace. Collection of research papers of National Mining University, 52, 192-198. ISSN 2071-1859.

8. Kalinin, A.V. (2020). Roughness coefficient of sand riverbeds. Journal of Science and Education of North-West Russia, 6(2), 1-12.

9. Onorin, O., Spirin, N., Istomin, A., Lavrov, V., & Pavlov,A. (2017). Features of Blast Furnace Transient Processes. Metallurgist, 61, 121-126. https://doi.org/10.1007/s11015-017-0464-2.

10. Golovchenko, A., Dychkovskyi, R., Pazynich, Y., Cceres, C., Howaniec, N., Bartomiej, J., & Smolinski, A. (2020). Some Aspects of the Control for the Radial Distribution of Burden Material and Gas Flow in the Blast Furnace. Energies, 13(4), 923. https://doi.org/10.3390/en13040923.

11. Chibwe, D., Evans, G., Doroodchi, E., Monaghan, B., Pinson, D., & Chew, S. (2020). Charge material distribution behaviour in blast furnace charging system. Powder Technology, 366, 22-35. https://doi.org/10.1016/j.powtec.2020.02.048.

12. Govender, N., Wilke, D., Chuan-Yu, Wu, & Kureck, H. (2019). A numerical investigation into the effect of angular particle shape on blast furnace burden topography and percolation using a GPU solved discrete element model. Chemical Engineering Science, 204, 9-26. https://doi.org/10.1016/j.ces.2019.03.077.

13. Smyrnova, I., Horbenko, V., Lutsyshyn, A., Kaminskyi,V., Sasiuk, Z., Selivyorstova, T., & Ienina, I. (2020). The method of determining the probability of affection of the semiconductor elements under the influence of the multifrequency space-time signals. International Journal of Emerging Trends in Engineering Research, 8(5), 1776-1779. https://doi.org/10.30534/ijeter/2020/46852020.

14. Smyrnova, I., Selivyorstova, T., Liulchak, S., Sezonova,I., Yuriy, R., & Liashenko, V. (2020). The results of simulation of the process of occurrence of damages to the semiconductor elements of radio-electronic equipment under the influence of multi-frequency signals of short duration. International Journal of Advanced Trends in Computer Science and Engineering, 9(3), 3053-3056. https://doi.org/10.30534/ijatcse/2020/86932020.

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