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Power Engineering and Ecology
Название Simulation modeling of interaction of dispersed particles in the jet-emulsion unit and gravitational separation
Автор V. P. Tsymbal, V. V. Pavlov, P. A. Sechenov, A. A. Olennikov
Информация об авторе

Siberian State Industrial University (Novokuznetsk, Russia):

Tsymbal V. P., Dr. Eng., Prof., e-mail: tsymbal133@mail.ru
Sechenov P. A., Assistant
Olennikov A. A., Cand. Eng., Ass. Prof.

 

Regionstroy JSC (Moscow, Russia):
Pavlov V. V., Deputy General Director

Реферат

The simulation model has been created during the mathematical description of the processes in the column reactor self-organizing jetemulsion unit; it is based on «first principles» and Monte Carlo method for statistical tests. The dispersed particles of the charge and reaction products, as well as all their possible transformations and interactions are considered as the first level of the research. The core of this model is presented by the streamline flowing process of the condensed particles by vertical gas flow. Wool-algorithm allows to simulate a large number of particles in a carrier gas stream, including taking into account the collisions of the particles and the exchange by vector values of pulses. The developed model allows to evaluate the dynamics of the separated streams of the metal, slag and gas, which makes it possible to close the loop of calculation cycle of substances in the unit. The algorithm and software implementation of the developed technique are developed. The conducted testing has shown performance of the algorithm and a satisfactory correlation of the final results of simulation modeling with the law of conservation of matter. Based on this technique, the simulation model (virtual reality) for a vertical gravitational separator (used for separation of the components of powdered materials) has been created. We also give an example application of this technique for separating components of a very fine dust in two very valuable marketable products from gas purification unit for manganese production. The task of creation of the technique for assessing the turbulent viscosity in a heterogeneous flow has been formulated on the basis of the conducted experiments on simulation and physical models.

Ключевые слова Column reactor, simulation model, the Monte Carlo method, interaction of dispersed particles, heterogeneous flow, turbulent viscosity
Библиографический список

1. Tsymbal V. P., Mochalov S. P., Rybenko I. A. et al. Protsess SER — metallurgicheskiy struyno-emulsionnyy reaktor (JER process — metallurgical jet-emulsion reactor). Under the editorship of V. P. Tsimbal. Moscow : Metallurgizdat, 2014. 488 p.
2. Prigozhin I., Stengers I. Poryadok iz khaosa: Novyy dialog cheloveka s prirodoy (Order Out of Chaos). Translated from English. Under the general editorship of V. I. Arshinov, Yu. L. Klimontovich and Yu. V. Sachkov. Forth edition. Moscow : URSS, 2003. 310 p.
3. Tsymbal V. P., Mochalov S. P., Shakirov K. M. Controlling the Composition of the Metal in the Direct Reduction of Dust-Sized Materials and Waste Products in a Jet-Emulsion Reactor. Springer Journals. 2015. Vol. 59. pp. 119-125. Available at: http://link.springer.com/article/10.1007/s11015-015-0070-0
4. Metropolis N., Ulam S. The Monte Carlo Method. Journal of American statistical association. 1949. Vol. 44, No. 247. pp. 335–341.
5. Kroese D. P., Brereton T., Taimre T., Botev Z. I. Why the Monte Carlo method is so important today. WIREs Comput Stat 6. 2014. pp. 386–392.
6. Dunn W. L., Shultis J. K. Exploring Monte Carlo Methods. Elsevier, 2011. 398 p.
7. Malikov R. F. Praktikum po imitatsionnomu modelirovaniyu slozhnykh sistem v srede AnyLogic 6 : uchebnoe posobie (Practical work for imitation modeling of complex systems in AnyLogic 6 : tutorial). Ufa : Publishing House of Bashkir State Pedagogical University, 2013. 296 p.
8. Kroese D. P., Taimre T., Botev Z. I. Handbook of Monte Carlo Methods. Wiley, 2011. 743 p.
9. ActionScript 3.0 Reference for the Adobe Flash Platform. Available at: http://help.adobe.com/en_US/FlashPlatform/reference/actionscript/3/index.html
10. Karpov Yu. G. Imitatsionnoe modelirovanie sistem. Vvedenie v modelirovanie s AnyLogic 5 (Imitation modeling of systems. Introduction into modeling with AnyLogic 5). Saint Petersburg : BHV-Peterburg, 2006. 400 p.
11. Lavrenko A. T. Avtoreferat dissertatsii magistra: «Analiz raboty separatora pryamogo koksovogo gaza» (Thesis of inauguration of dissertation of master’s degree: “Analysis of operation of raw coke-oven gas separator”). Available at: http://www.uran.donetsk.ua
12. Kramarenko V. V., Savichev O. G. Gidravlika. Chast 1. Metodicheskie materialy po kursu «Gidravlika» (Hydraulics. Part 1. “Hydraulics” study methodic materials). Tomsk : Publishing House of Tomsk Polytechnic University, 2009. 124 p.
13. Tsymbal V. P., Mochalov S. P., Parovinchak M. S. et al. Ore enrichment required for a self-organizing Jet-EmulsionReactor. Steel in Translation. 2009. Vol. 39, No 4. pp. 310–312 .
14. Protsess Romelt (Romelt process). Under the editorship of V. A. Roments. Moscow : MISiS, “Ore and Metals” Publishing House, 2005. 400 p.
15. Bakay A. S., Sigov Yu. S. Mnogolikaya turbulentnost (Many-faced turbulence). Moscow : Znanie, 1989. 48 p.

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