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Mathematical model of movement of a single spherical lupine particle in the extractor using low-frequency mechanical vibrations

https://doi.org/10.20914/2310-1202-2018-2-18-22

Abstract

In our case, the solid body is the raw material of plant origin-lupine, crushed into grits, and the extractant is the cheese whey. The turbulent situation in the apparatus was created by the imposition of low-frequency mechanical vibrations, which have a significant impact on the characteristics of hydro-mechanical, mass transfer and thermal processes. This feature must be taken into account in the calculation of the extraction apparatus. The basic assumptions for the solution of the problem are formulated. The equation of motion of a single particle, which is contained in a number of works (Sow, an introduction, Chen, Protodyakonov, etc.). It is true in the instant values of the parameters. A simpler equation describing the motion of the dispersed particle and time correlation tensors with their subsequent decomposition into the Fourier integral are written. Further, taking into account the definition of tensors, the dependences for the calculation of the intensity of the chaotic motion of continuous and dispersed phases are shown, and the final expression is obtained, showing the ratio of the intensities of the phases. The coefficient of turbulent diffusion of each phase is proportional to the intensity of the chaotic motion of the corresponding phase. Therefore, the written finite equation for the phase ratio allows to estimate the ratio of the turbulent diffusion coefficients of the liquid and dispersed phases in the extraction apparatus. In our case, the ratio of the density of Hg / Hg is 1.1. Since the density of lupine and cheese whey differ quantitatively, we should expect some increase in the relative velocity of the phases, which will increase the rate of mass transfer. The intensities of the phases chaotic motion will not be the same, as well as the coefficients of turbulent diffusion. Thus, the case of motion of a single particle in a turbulent flow is complex and can be solved only under sufficiently serious assumptions formulated below.

About the Authors

Yu. I. Shitshatskii
Voronezh state university of engineering technologies
Russian Federation
Dr. Sci. (Engin.), professor, physics, heat engineering and heat power engineering department, Revolution Av., 19 Voronezh, 394036, Russia


A. M. Barbashin
Voronezh state university of engineering technologies
Cand. Sci. (Engin.), associate professor, physics, heat engineering and heat power engineering department, Revolution Av., 19 Voronezh, 394036, Russia


S. A. Nikel
Voronezh state university of engineering technologies
Cand. Sci. (Engin.), associate professor, physics, heat engineering and heat power engineering department, Revolution Av., 19 Voronezh, 394036, Russia


References

1. Ilyin V.A., Kukina A.V. Vysshaya matematika [Higher mathematics] Moscow, Publishing House Prospekt, 2004. 600 p. (in Russian)

2. Protodyakonov I.O., Lublinskaya I.E., Ryzhkov A.E. Gidrodinamika I massoobmen v dispersnykh sistemakh [Hydrodynamics and mass transfer in liquid-solid disperse systems] Leningrad, Chemistry, 1987. 336 p. (in Russian)

3. Protodyakonov I.O., Syshchikov Yu.V. Tusrbulentnost’ v protsessakh khimicheskoi tekhnologii [Turbulence in the processes of chemical technology] Leningrad, Nauka, 1983. 318 p. (in Russian)

4. Khintse I.O. Turbulentnost’ [Turbulence. Its mechanism and theory] Moscow, State ed. physico-mathematical literature, 1963. 680 p. (in Russian)

5. Shishatsky Yu.I., Budanov A.V., Nikel S.A., Vlasov Yu.N. Effect of the imposition of low-frequency mechanical oscillations on the extraction efficiency. Vestnik VGUIT. [Proceedings of VSUET] 2018. no. 1. pp. 25 – 29. (in Russian)

6. Pishchikov G.B., Lazarev V.A., Shikhalev S.V. A method of evaluating the intensity of spatial mixing of the microorganisms in the bioreactors, continuous. Vestnik VGUIT. [Proceedings of VSUET] 2017. no. 79(3). pp. 169-173. (in Russian)

7. Celis C., da Silva L. F. F. Lagrangian mixing models for turbulent combustion: review and prospects. Flow, Turbulence and Combustion. 2015. vol. 94. no. 3. pp. 643-689.

8. Watanabe T., Nagata K. Mixing model with multi-particle interactions for Lagrangian simulations of turbulent mixing. Physics of Fluids. 2016. vol. 28. no. 8. pp. 085103.

9. Li L. J. et al. A modified turbulent mixing model with the consideration of heat transfer between hot buoyant plume and sidewalls in a closed stairwell. International Journal of Heat and Mass Transfer. 2015. vol. 84. pp. 521-528.

10. Barmparousis C., Drikakis D. Multidimensional quantification of uncertainty and application to a turbulent mixing model. International Journal for Numerical Methods in Fluids. 2017. vol. 85. no. 7. pp. 385-403.


Review

For citations:


Shitshatskii Yu.I., Barbashin A.M., Nikel S.A. Mathematical model of movement of a single spherical lupine particle in the extractor using low-frequency mechanical vibrations. Proceedings of the Voronezh State University of Engineering Technologies. 2018;80(2):18-22. (In Russ.) https://doi.org/10.20914/2310-1202-2018-2-18-22

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ISSN 2226-910X (Print)
ISSN 2310-1202 (Online)