Smolensk Branch of the National Research University Moscow Power Engineering Institute, Smolensk, Russia:

S. P. Kurilin, Professor at the Department of Electromechanical Systems, Doctor of Technical Sciences, Professor, e-mail: sergkurilin@gmail.com

Improving the reliability of conveyor roasters is a relevant research and engineering problem. Analysis shows that the least reliable links of the electric drive of a roaster include the electric motor and the motor speed reduction system. The advantage of a gearless modular electric drive is that it does not need the speed reduction system. At the same time, the modular design helps separate the torque components and thus ensures power back-up and increased reliability. The authors designed a gearless modular electric drive consisting of 12 linear traction modules. The paper describes a design of the linear traction module with a traction force of 9.1 kN and a speed of the secondary element of 9.04 m/min. A combination of 11 such modules ensures that the drive pulley had the required torque of 480 kNm and the speed of 0.3 min^–1. The twelfth linear traction module is responsible for the high-speed operation and is used as a spare one. The specification of the gearless modular electric drive included in this paper gives more details about its static and dynamic properties. The low speed of the drive pulley entails a low overload capacity of the unit in view, which may trip the conveyor if the load increases considerably. The said drawback can partially be eliminated by switching over to the high-speed mode and on a broader scale – by increasing the power of the linear traction modules. In the case of the OK-306 roaster, the use of a gearless modular electric drive and the resulting increased reliability would save 3.22 mln Rub/h. The modular design of the drive secures the availability of the conveyor roaster saving the need for a spare electric drive.
Support for this research was provided under Grant No. 22-61-00096 by the Russian Science Foundation, https://rscf.ru/project/22-61-00096/

1. Ugarov A. A., Efendiev N. T., Kretov S. I., Sharkovskiy D. O. et al. Energyefficient fourth-generation roaster MOK-1-592M. Stal. 2020. No. 3. pp. 2–7.
2. Varichev A. V., Ugarov A. A., Efendiev N. T., Kretov S. I. et al. Engineering and commissioning of an advanced roaster MOK-1-592 at Mikhaylovsky GOK. Gornaya promyshlennost. 2017. No. 3. pp. 16–20.
3. Abzalov V. M., Bragin V. V., Vyatkin A. A., Evstyugin S. N. et al. Design of a new generation conveyor roaster. Stal. 2008. No. 12. pp. 13, 14.
4. Dli M. I., Vlasova E. A., Sokolov A. M., Morgunova E. V. Creation of a chemical-technological system digital twin using the Python language. Journal of Applied Informatics. 2021. Vol. 16, No. 1. pp. 22–31.
5. Bokovikov B. A., Bragin V. V., Malkin V. M., Naydich M. I. et al. Mathematical model of a conveyor roaster as a tool for improving the machine’s heat balance. Stal. 2010. No. 9. pp. 33–37.
6. Doletskaya L. I., Ziryukin V. I., Solopov R. V. The practice of building a software model of a power grid object for understanding the operation of digital relay protection means. Journal of Applied Informatics. 2021. Vol. 16, No. 4. pp. 83–95.
7. Borisov V. V., Kurilin S. P., Prokimnov N. N., Chernovalova M. V. Fuzzy cognitive modeling of heterogeneous electromechanical systems. Journal of Applied Informatics. 2021. Vol. 16, No. 1. pp. 32–39.
8. Yamamura S. Theory of linear induction motors. Translated from English. Leningrad : Energoatomizdat, 1983. 180 p.
9. Creppe R. C., Ulson J. A. C., Rodrigues J. F. Influence of design parameters on linear Induction motor end effect. IEEE Transactions on Energy Conversion. 2008. Vol. 23, No. 2. pp. 358–362.
10. Merlin M. N. J., Ganguly C., Kowsalya M. Mathematical modelling of linear induction motor with and without considering end effects using different references. IEEE 1^st International Conference on Power Electronics, Intelligent Control and Energy Systems. 2016. pp. 1–5. 16673269.
11. Cho H., Liu Y., Kim K. A. Short-primary linear induction motor modeling with end effects for electric transportation systems. International Symposium on Computer, Consumer and Control. 2018. pp. 338–341.
12. Sarapulov F. N., Smolianov I. A. A study of the conveyor train linear induction motor. Izvestiya vuzov. Elektromekhanika. 2019. Vol. 62, No. 1. pp. 39–43.
13. Kurilin S. P., Dli M. I., Rubin Y. B., Chernovalova M. V. Methods and means of increasing operation efficiency of the fleet of electric motors in nonferrous metallurgy. Non-ferrous Metals. 2020. No. 2. pp. 73–78.
14. Kurilin S. P., Dli M. I., Sokolov A. M. Linear induction motors for nonferrous metallurgy. Non-ferrous Metals. 2021. No. 1. pp. 67–73.
15. Smolyanov I., Sarapulov F., Tarasov F. Calculation of linear induction motor features by detailed equivalent circuit method taking into account nonlinear electromagnetic and thermal properties. Computers and Mathematics with Applications. 2019. Vol. 78, No. 9. pp. 3187–3199.
16. Sarapulov F. N., Goman V., Trekin G. E. Temperature calculation for linear induction motor in transport application with multiphysics approach. IOP Conference Series: Materials Science and Engineering. 2020. Vol. 966, Iss. 1. 012105.
17. Kurilin S. P., Rubin Yu. B., Dli M. I., Denisov V. N. Models and methods of designing linear electric motors for non-ferrous metals industry applications. Tsvetnye Metally. 2021. No. 11. pp. 83–90.
18. Smolyanov I., Shmakov E., Gasheva D. Research of linear induction motor as part of driver by detailed equivalent circuit. Proceedings of International Russian Automation Conference. 2019. 8867757.
19. Makarov L. N., Denisov V. N., Kurilin S. P. Designing and modeling a linear electric motor for vibration-technology machines. Russian Electrical Engineering. 2017. Vol. 88, No. 3. pp. 166–169.
20. Sarapulov F. N., Frizen V. E., Shvydkiy E. L., Smolyanov I. A. Mathe matical modeling of a linear-induction motor based on detailed equivalent circuits. Russian Electrical Engineering. 2018. Vol. 89, No. 4. pp. 270–274.
21. Yu S. O., Sarapulov F. N., Tomashevsky D. N. Mathematical modeling of electromechanical characteristics of linear electromagnetic and inductiondynamic motors. IOP Conference Series: Materials Science and Engineering. 2020. Vol. 950, Iss. 1. 012020.
22. Chapaev V. S., Volkov S. V., Martyashin A. A. Basic mathematics for understanding the magnetic field distribution in a linear induction motor with control layer. Reliability and quality: Proceedings of the international symposium. In 2 volumes. Ed. by N. K. Yurkov. Penza : Izdatelstvo PGU, 2016. Vol. 1. pp. 153–155.
23. UZTM-KARTEKS. Available at: http://www.uralmash.ru/ (Accessed: 12.05.2022).
24. Library of reference documentation. Available at: https://files.stroyinf.ru/ (Accessed: 15.07.2022).
25. PROMINDEKS. Available at: https://promindex.ru (Accessed: 11.09.2022).