Modeling of powder materials balling drums and disks control system
DOI:
https://doi.org/10.15587/1729-4061.2015.39035Keywords:
balling, iron ore mixture, automated control system, mathematical model, balance methodAbstract
Mathematical models of powder material balling in drums and disks based on the balance method are developed. The models describe relation of polydisperse mixture fractions contents and fractions mass transfer rate. Development of the models answers the challenge of precise process control organizing since it creates theoretical foundation of the units work control algorithms.
Structure schemes of granulators control systems with usage of the models proposed are designed. The systems use unit angle declination and spin rate as control effects and stabilize moisture flow rate on the level answering technological demands of the firing and sintering processes. This control method allows affecting only material granulometric composition and not changing its physical and chemical features.
The systems proposed work simulation is done. Its results show that usage of the systems will provide material granulometric composition stabilizing. It will lead to fuel consumption reduction for sintering process and good agglomerate producing increase. These results are interesting in terms of energy and resources economy that is actual for present-day state of Ukrainian metallurgy.
References
- Vegmun, Ye. F. (1984). Okuskovanie rud i koncentratov. Moscow: Metallurgiya, 256.
- Glinkov, G. M., Kosirev, A. I., Shivtsov, E. K. (1989). Kontrol i avtomatizatsiya metallurgicheskih processov. Moscow: Metallurgiya, 352.
- Bogaenko, I. N., Burlyay, I. Yu., Grabovskiy G. G. (2002). Razrabotka i proektirovanie ASU TP fabrik okomkovaniya gorno-obogatitelnyih kombinatov. Kiev: NVK “KIA”, 227.
- Krivenko, S. V. (2011). Issledovanie harakteristik barabannogo okomkovatelya kak ob'ekta upravleniya. Metallurgicheskie protsessi i oborudovanie, 2 (24), 22–26.
- Rengevich, O. V. (2004). Sovremennie metodi identifikatsii kachestvennih parametrov i mehanizma okomkovaniya aglomeratsionnoy shihti. Trudi Zaporozhskoy gosudarstvennoy inzhenernoy akademii. Metallurgiya, 10, 23–26.
- Rakhuba, V. O. Razrabotka i issledovanie ASU formirovaniem granulometricheskih harakteristik agloshihti pri podgotovke k spekaniyu. (2009). Trudi Zaporozhskoy gosudarstvennoy inzhenernoy akademii. Metallurgiya, 20, 14–19.
- Bogaenko, I. N., Grabovskiy, G. G., Ryumshin, N. A. (2001). Avtomatizatsiya fabrik okuskovaniya zheleznih rud i kontsentratov. Kyiv: Tehnika, 290.
- Outotec® Pelletizing technologies (2011). Outotec. Available at: http://www.outotec.com
- Grate-KilnTM iron ore pelletizing system (2012). Metso. Available at: http://www.metso.com/miningandconstruction/MaTobox7.nsf/DocsByID/FD649B46389D826E42256B9500317622/$File/Great_Kiln.pdf
- Korotich, V. I. (1986). Teoreticheskie osnovi okomkovaniya zhelezorudnih materialov. Moscow: Metallurgiya, 150.
- Bhimji1, D., Thornton, C., Adams, M. (2003). DEM Batch Granulation Simulations with a rotating drum. School of Engineering & Applied Science, Aston University, Birmingham. Available at: http://www.shef.ac.uk/ptf5/ptf5_posters.pdf
- Gantt, Ju., Gatzke, E. (2004). Control of a Granulation Process Using a Nonlinear MPC Formulation. South Carolina: University of South Carolina Board of Trustees. Available at: http://www.engr.sc.edu/dept_progs/chemeng/faculty/gatzke/papers/04-acc-granulation.pdf
- Starodumov, A. V. (2003). Modelirovanie granulometricheskogo sostava okatishey, formiruemyih chashevim okomkovatelem. Stal, 1, 6–8.
- Knut Rapp, N. (2004). Nonlinear estimation and control in the iron ore pelletizing process. Available at: http://www.diva-portal.org/smash/get/diva2:124359/FULLTEXT01.pdf
- CAMSIZER® Particle analysis with digital image processing (2005). Haan: Retsch Technology. Available at: http://www.retsch-technology.com/brochure_camsizer_en.pdf
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