Automatic control of jet grinding on the basis of acoustic monitoring of mill operating zones
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- Category: Content №4 2021
- Last Updated on 23 August 2021
- Published on 30 November -0001
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Authors:
A.V.Bublikov, orcid.org/0000-0003-3015-6754, Dnipro University of Technology, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
P.I.Pilov, orcid.org/0000-0001-6930-3403, Dnipro University of Technology, Dnipro, Ukraine
N.S.Pryadko, orcid.org/0000-0003-1656-1681, Institute of Technical Mechanics National Academy of Science of Ukraine and State Space Agency of Ukraine, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Yu.A.Papaika, orcid.org/0000-0001-6953-1705, Dnipro University of Technology, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
K.V.Ternova, orcid.org/0000-0001-9560-5827, Institute of Technical Mechanics National Academy of Science of Ukraine and State Space Agency of Ukraine, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2021, (4): 029 - 034
https://doi.org/10.33271/nvngu/2021-4/029
Abstract:
Purpose. Increasing the jet mill productivity by use of automatic control of the grinding chamber filling level based on the acoustic monitoring results of the jet grinding process.
Methodology. Simulation is performed in MATLAB. Acoustic signals of the mill operating zones are used to determine the grinding process parameters.
Findings. A simulation model of the automatic jet mill control system is created, which takes into account the inertia of material flows in the grinding chamber and classifier, as well as the main disturbing influences on the process of forming the mill output flow. To analyze the control process, there are three main parts the information component (regulator and technical means of automation), a set of mathematical models that describe the physical processes in the grinding chamber and in the classifier. A study on the automatic control process of the grinding chamber filling is made under the condition of determining the controlled value indirectly through spectral analysis of the acoustic signal in the mill. The insignificant influence of perturbations on the controlled quantity due to very slow filling of the chamber with material in comparison with the period of stream fluctuations at a chamber entrance owing to perturbation action is shown.
Originality. For the first time the possibility has been proved of using a relay regulator in control of the grinding chamber filling, determined indirectly through spectral analysis of the acoustic signal in a jet mill. The efficiency of the mill operation at automatic control of the grinding chamber filling according to the relay law is investigated.
Practical value. It is shown that with the transition from automated to automatic control of the grinding chamber filling, the mill productivity increases by 1015%. The obtained results are used to build a system of automatic jet mill control.
Keywords: modeling, automation, automatic control system, jet grinding
References.
1. Pryadko, N.S., & Ternova, K.V. (2020). Acoustic monitoring of jet grinding. Kyiv: Akadem periodyka. https://doi.org/10.15407/akademperiodyka.409.192.
2. Pilov, P.I., & Pryadko, N.S. (2016). Energy efficiency of fine grinding of ores. Zbahachennia korysnykh kopalin: naukovo-tekhnichnyi zbirnyk, 64(105), 69-74.
3. Kornienko, V.I. (2013). Automation of the optimal control of the processes of crushing and health of ores: monograph. Dnipro: Natsionalnyi Hirnychyi Universytet.
4. Reshmin, B.I. (2016). Simulation modeling and control systems: monograph. Moscow: Infra-Inzheneriya.
5. Kupin, A., Zholondiyevsky, P., & Kuztetsov, D. (n.d.) (2018). Selection and calculation of the main system components of optimal control of technological processes production and processing. International Journal of Engineering and Technical Research (IJETR). https://doi.org/10.31721/2414-9055.2018.4.1.67.
6. Santob, N., Portnikov, D., Mani, N., & Kalman, T.H. (2018). Experimental study on the particle velocity development profile and acceleration length in horizontal dilute phase pneumatic conveying systems. Powder Technology, (339), 3683765. https://doi.org/10.1016/j.powtec.2018.07.074.
7. Kryvenko, Yu.Iu. (2018). Method of automatic control of the grinding process of magnetite ores depending on their strength. (Patent of Ukraine No. 129934).
8. Burlutskiy, E.M., Chkalova, M.V., & Pavlidis, V.D. (2019). Method for controlling the granulometric composition of the crushed grain material. (Patent of Russia No. 26688352).
9. Priadko, N.S., Bublykov, A.V., & Muzyka, L.V. (2020). Developing a system of automatic control of jet grinding on the basis of experimental data. System technologies, 2(127), 140-149. https://doi.org/10.34185/1562-9945-2-127-2020-11.
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