Mass flow control in a jet mill based on acoustic monitoring

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Authors:

L.V.Muzyka, orcid.org/0000-0002-9714-091X, Institute of Technical Mechanics National Academy of Science of Ukraine and State Space Agency of Ukraine, Dnipro, Ukraine, email: This email address is being protected from spambots. You need JavaScript enabled to view it.

N.S.Pryadko, Dr. Sc. (Tech.), Senior Research Fellow, orcid.org/0000-0003-1656-1681, Institute of Technical Mechanics National Academy of Science of Ukraine and State Space Agency of Ukraine, Dnipro, Ukraine, email: This email address is being protected from spambots. You need JavaScript enabled to view it.

H.O.Strelnikov, Dr. Sc. (Tech.), Prof., orcid.org/0000-0001-9810-1966, Institute of Technical Mechanics National Academy of Science of Ukraine and State Space Agency of Ukraine, Dnipro, Ukraine, email: This email address is being protected from spambots. You need JavaScript enabled to view it.

A.F.Grinev, Dr. Sc. (Tech.), Prof., orcid.org/0000-0001-8019-624X, National Metallurgical University, Dnipro, Ukraine

Abstract:

Purpose. To justify the control of the jet grinding process by building a closed cycle model using Markov chains and acoustic monitoring of the grinding operation zones.

Methodology. Modeling is carried out on the basis of system analysis using a cell model. To describe the grinding process, acoustic signals from the operation mill zones are used. Theoretical calculations of changes in the grain-size composition are compared with the results of experimental fireclay grinding.

Findings. The material particle size change in the mass flow of the jet mill and the classifier was considered regarding the characteristic changes of the acoustic signals recorded in these parts of the grinding units. According to the results of continuous monitoring of the operation zones of the grinding plant, a model of mass flow movement in a closed cycle and changes in the particle size distribution of the initial material from the loading bunker to the unloading of the ready ground product was created. Based on the model, the possibility of the grinding process control is shown. A functional scheme for controlling the mill operation as a whole has been developed. The created hardware base for jet mill control was tested in experimental and industrial processes of grinding various materials.

Originality. For the first time, a cell model of the material flow movement in all elements of a grinding plant using acoustic signals recorded in them was created. The granulation kinetics in the mill, in the classifier and in the unloading bunker of the ready material is described by matrices containing the acoustic signal characteristics of these zones. The number of matrices corresponds to the number of installation functional elements, and they are combined into one common block matrix.

Practical value. The obtained results are used to build an automatic control system for the jet mill productivity according to its loading control based on the acoustic monitoring results of operation areas.

References.

1. Francois K. Mulengaa & Murray M. Bwalyab (2019). Determination of the formal powder filling of a wet ball mill in open circuit. Miner. Eng, (130), 1-4.

2. Serkan Cayirli (2018). Influences of operating parameters on dry ball mill performance. Physicochem. Probl. Miner. Process, 54(3), 751-762.

3. Reshmin, B.I. (2016). Simulation modeling and control systems. Monograph. Moscow: Infra-Inzheneriya.

4. Smirnov, S.F., Zhukov, V.P., Fedosov, S.V., & Mizonov, V.Ye. (2008). Generalized cell model of a combined process of grinding – classifications in technological systems of grinding. Stroitel’nyye materialy, (8), 74-76.

5. Pryadko, N.S. (2013). Acoustic research on jet grinding. Monograph. Saarbrucken: LAP LAMBERT Academic Publishing. OmniScriptum GmbH&Co.Kg.

6. Pryadko, N.S. (2015). Optimization of fine grinding on the acoustic monitoring basis. Power Engineering, Control & Information Technologies in Geotechnical Systems –Taylor & Francis Group, 99-108.

7. 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), 368-376.

8. Ternovaya, Ye.V. (2016). Analysis of signal frequencies when transporting or grinding bulk material in a flow. Zbahachennia korysnykh kopalyn, 63(104), 59-65.

9. Vorobyeva, A.V., Ostroukh, A.V., Gimadetdinov, M.K., Vey, P.A., & Mio, L.A. (2015). Development of mathematical models and methods of optimal control of automated aggregate processing plant. Promyshlennyye ASU i kontrollery, (1), 9-16.

10. Muzyka, L.V., & Pryadko, N.S. (2017). Methods of automated control of jet grinding based on the models of the object and control system. System technologies, (109), 51-58.

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Registration data

ISSN (print) 2071-2227,
ISSN (online) 2223-2362.
Journal was registered by Ministry of Justice of Ukraine.
Registration number КВ No.17742-6592PR dated April 27, 2011.

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