Electromechanics system modelling of hydrotransport at an enrichment plant

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Authors:

I.M. Udovyk, Candidate of Technical Sciences, Associate Professor, National Mining University,Associate Professorof the Software of Computer Systems Department, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it., orcid.org/0000-0002-5190-841X  

A.I. Simonenko, Candidate of Technical Sciences, Associate Professor, National Mining University,Associate Professor of the Software of Computer Systems Department, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it., orcid.org/0000-0002-5584-3617

O.A. Zhukova, National Mining University,Associate Professor of the Cybersecurity and Telecommunications Department, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it., orcid.org/0000-0002-1619-9582

S.D. Prykhodchenko, National Mining University,Lecturer Assistant of the Software of Computer Systems Department,Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it., orcid.org/0000-0002-6562-0601

Abstract:

Purpose. To construct and analyze electromechanical system model for hydrotransport used at factories, that will be able to take into account changes related to equipment wear, and also produce the accumulation of technical changes caused by the exploitation of the pipeline system.

Methodology. The dynamic model of the electromechanical system of hydrotransport is developed on the basis of data about physical parameters of hydrotransport systems, received empirically. It is based on the methods for identification of dynamic systems in the form of differential equations for elements of the inside-factory hydraulic transport technological object.

Findings. A model of the electromechanical system of hydrotransport is developed. Verifications of homogeneity by the Fisher’s and Bartlett’s criteria showed the homogeneity of the estimates of the variance of reproducibility. For the Fisher’s criterion rating was 2.59; for the Bartlett’s criterion verification showed that the coefficient is significant at the level less than 0.02, and this is indicating the reliability of the calculation of the correlation matrix.

Originality. For the first time a model for systems of the hydraulic transport, based on the Jeffcott’s multi-mass rotor models, was applied. While modelling, wear of equipment in process is taken into account.

Practical value. Efficiency of usage of Jeffcott’s multi-mass rotor models based model, has been proven. It allows describing the behavior of an object in specific technological regimes reliably and improves efficiency of the processes.

References.

1. Prykhodchenko, S. D., 2014. Modelling of slurry hydrotransport system to slurry storage. Metallurgical and mining industry: scientific, technical and industrial journal, 2(287), pp. 97‒100.

2. Afanasiev, Yu. V., Polikhach, E. A., Yamalov, I. I. and Farrakhov, D. R., 2012. Application of an asynchronous drive for simulating the mechanical characteristics of general industrial mechanisms. Vestnyk UGATU [online], 16(8(53)), pp. 136‒140. Available at: <https://cyberleninka.ru/article/n/primenenie-asinhronnogo-privoda-dlya-imitatsii-mehanicheskih-harakteristik-obschepromyshlennyh-mehanizmov> [Accessed 28 August 2017].

3. Thiery, F., 2016. Simplified Models to Evaluate Nonlinear Dynamics in Hydropower Rotors. Lulea University of Technology.

4. Khrbchek, Y., Shymak, V. and Yanota, A., 2014. Prognostic control of rotor radial models.Technological machines, 1(44), pp. 83‒89.

5. Chao-Zhong Guo, Ji-Hong Yan and Lawrence A. Bergman, 2017. Experimental Dynamic Analysis of a Breathing Cracked Rotor. Chinese Journal of Mechanical Engineering [online]. Available at: <http://paperity.org/p/80389310/ experimental-dynamic-analysis-of-a-breathing-cracked-rotor> [Accessed 15 September 2017].

6. Murashkin, S. I., 2012. Non-synchronous variable-frequency electric drive with vector control. The Bulletin of KrasGAU [online], 9, pp. 189‒196. Available at: <https://cyberleninka.ru/article/n/asinhronnyy-chastotnyy-elektroprivod-s-vektornym-upravleniem> [Accessed 5 June 2017].

7. Lipika Sharma and Shailja Shukla, 2013. Application of Model Predictive Control for Improving Stability of Rotor and Controlling Active Rotor Vibration. International Journal of Computer Applications (0975–8887), 72(13), pp. 17‒22.

8. Semenenko, E. V., Kirichko, S. N. and Nikiforova, N. A., 2015. Methodology for calculating the operating modes of modernized systems of pressure pipeline transport. In: Proceedings of the International Conference “Forum for Climate Change 2015”, Dnipropetrovsk, NSU [online], 1, рр. 235–241. Available at: <http://ir.nmu.org.ua/bitstream/handle/123456789/150535/235-241.pdf? sequence=1&isAllowed=y> [Accessed 21 April 2017].

9. Zachwieja, Ja., 2017. Stress analysis of vibrating pipelines. AIP Conference Proceedings 1822, 020017 (2017); DOI: 10.1063/1.4977691.

10. Ristaniemi, A., 2015. Linearization of piping supports in dynamic analyses [pdf]. Available at: <https://aaltodoc.aalto.fi/bitstream/handle/123456789/18139/master_Ristaniemi_Aapo_2015.pdf> [Accessed 5 July 2017].

11. Prykhodchenko, S. D., 2007. Analysis of the results of industrial tests of slurry pump motors [online]. Available at: <http://www.vuzlib.com.ua/articles/book/1366- Analiz_rezultatov_promyshlenny/1.html> [Accessed 11 August 2017].

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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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