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Simulation of loads on operating device of peat-cutting unit with regard to errors in the cutting elements arrangement

https://doi.org/10.17073/2500-0632-2022-2-161-169

Abstract

The practice of using units with milling-type operating devices showed their insufficient reliability, which leads to deterioration of the units’ performance. The reasons for this are high dynamic loads in structural members, which are caused by external resistance forces on a milling cutter. They have random, sharply variable nature due to structural heterogeneity of a peat deposit, its random physical and mechanical properties, the presence of wood inclusions in it, as well as periodic interaction of blades with the deposit, and many other factors. In this case, the parameters of actual milling cutter, due to manufacturing and installation errors, differ from those specified in the “ideal” design. In addition, wear and irreversible deformations of cutting elements (blades) occur during operation. As a result the position of blades in a cutter body differs from the “ideal” positioning pattern. The purpose of the paper is to develop a model of section moment on a milling cutter when interacting with a peat deposit in the process of technological operations, taking into account the influence of the error of blade positioning on a cutter body. Expressions for calculating the moment spectral density were obtained. Its characteristic features were analyzed. Errors in positioning of cutting elements on a cutter body lead to changes in the magnitude and nature of the load and its frequency content. In this case, new, additional components appear at frequencies multiple of the cutter’s angular velocity, enriching the load spectrum and increasing its variance. Their magnitude is determined by the cumulative value of the errors. As an example, an analysis of the influence of the error in positioning cutting elements on the spectral density for the operating device of MTP-42 deep milling machine is given. The study results are of practical value and should be taken into account in the calculation of dynamic loads in designing structural members of milling units, especially if their operating devices have a large number of blades, use fine feeds, and when the natural frequencies of the structural members are equal to or multiple of the angular speed of a milling cutter.

About the Author

K. V. Fomin
Tver State Technical University
Russian Federation

Konstantin V. Fomin – Dr. Sci. (Eng.), Associate Professor, the Head of the Department of Mechanization of Environmental management and Repair of Machines

Scopus ID 57202900121

Tver



References

1. Misnikov O. S. Basic technologies and equipment used for peat deposit development in foreign countries. In: E3S Web Conf.: IIIth International Innovative Mining Symposium. 26 January 2018. 2018;41(6):01046. https://doi.org/10.105/e3sconf/20184101046

2. Samsonov L. N. Peat deposit milling. Moscow: Nedra Publ.; 1985. 211 p. (In Russ.)

3. Kopenkin V. D., Kopenkin L. V., Samsonov L. N. Development of milling machines in peat production (analysis, prospects). Mining Information and Analytical Bulletin. 2003;(10):204–207. (In Russ.)

4. Gorlov I. V., Rakhutin M. G. Effect of the presence of stumps on no-failure performance of peat harvesting machines. Mining informational and analytical bulletin. 2017;(12):139–145. (In Russ.)

5. Samsonov L. N., Fomin K. В. Elements of statistical dynamics of peat milling facilities. Tver: Tver State Technical University; 2005. 168 p. (In Russ.)

6. Mikhaylov A. V., Rodionov E. A., Zvonarev I. E. Analysis of conditions for vertical cutting of peat. Mining Informational and Analytical Bulletin. 2019;(1):48–54. (In Russ.) https://doi.org/10.25018/0236-1493-2019-01-0-48-54

7. Michailov A. V., Zhigulskaya A. I., Garmaev O. M. An integrated approach to strip mining of peat. In: IOP Conf. Series: Earth and Environmental Science. 2019;378:24–27. https://doi.org/10.1088/1755-1315/378/1/012087

8. Yablonev A. L., Krutov Yu. V. The use of modern digital service stress measurements in the study load of peat machines. Mining Informational and Analytical Bulletin. 2016;(8):200–205. (In Russ.) URL: https://giab-online.ru/files/Data/2016/8/200_205_8_2016.pdf

9. Fomin K. V. Method for estimating the spectrum density of the resistance moment on the working body of a peat milling unit. Journal of Mining Institute. 2020;241:58–67. https://doi.org/10.31897/PMI.2020.1.58

10. Fomin K. V. Mutual spectral densities calculation of the moments of resistance on the peat milling unit working bodies. Journal of Mining Institute. 2021;251:746–756. https://doi.org/10.31897/PMI.2021.5.14

11. Zong X., Guo Q., Kang K., Jia H., He B. Study on Installation Angle of the Milling Wheel Accurate Estimation and Compensation. In: MATEC Web of Conferences: the 3rd International Conference on Mechatronics and Mechanical Engineering (ICMME 2016). 2017;95:04005. https://doi.org/10.1051/matecconf/20179504005

12. Cheluszka P., Jagieła-Zając A. Determining the position of pick holders on the side surface of the working unit of the cutting machine in the robotic technology of their assembly. In: IOP Conference Series: Earth and Environmental Science. 2019;261:012003. https://doi.org/10.1088/1755-1315/261/1/012003

13. Shabaev O. E., Bridun I. I. Technical diagnostics of a roadheader cutting operating device. Mining Information and Analytical Bulletin. 2017;(9):94–101. (In Russ.) https://doi.org/10.25018/0236-1493-2017-9-0-94-101

14. Lalanne C. Mechanical Vibration and Shock Analysis, Random Vibration (Mechanical Vibration and Shock Analysis. 3rd Edition. John Wiley & Sons, Ltd; 2014. 595 p. https://doi.org/10.1002/9781118931127

15. Lutes L. D., Sarkani Sh. Random vibrations: analysis of structural and mechanical systems. 2004. 635 p.

16. Svetlitsky V. A. Statistical dynamics and reliability theory for mechanical structures. Springer, Berlin/Heidelberg; 2003. 452 p. https://doi.org/10.1007/978-3-540-45826-5

17. Gusev A. S. Probabilistic methods in mechanics of machines and structures. Moscow: N. E. Bauman Moscow State Technical University Publ.; 2009. 224 p. (In Russ.)

18. Dokukin A. V., Krasnikov Yu. D., Khurgin Z. Ya. Statistical dynamics of mining machines. Moscow: Mashinostroenie Publ.; 1978. 238 p. (In Russ.)

19. Krasnikov Yu. D. Simulation of coal disintegration by cutting tools. Moscow: Nauka Publ.; 1981. 181 p. (In Russ.)

20. Li X. H., Yu X. W., Ma X. H., Zhao Y. B. Simulation and study of random loads on continuous miner cutting drum. Advanced Materials Research. 2011;308–310:1885–8. https://doi.org/10.4028/www.scientific.net/amr.308-310.1885

21. Liu C. S., Li D. G., Chen X. P. Shearer load identification of the load spectrum of the pick based on chaotic characteristics. Advanced Materials Research. 2011;199–200:111–114. https://doi.org/10.4028/www.scientific.net/AMR.199-200.111

22. Medolago A. A., Melzi S. A flexible multi-body model of a surface miner for analyzing the interaction between rock-cutting forces and chassis vibrations. International Journal of Mining Science and Technology. 2021;31(3):365–375. https://doi.org/10.1016/j.ijmst.2021.03.006

23. Howard R. M. Principles of random signal analysis and low noise design: The power spectral density and its applications. Willey; 2002. 310 p. https://doi.org/10.1002/0471439207

24. Levin B. R. Statistical fundamentals of radio-engineering. Moscow: Radio i Svyaz’ Publ.; 1989. 656 p.


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Fomin K.V. Simulation of loads on operating device of peat-cutting unit with regard to errors in the cutting elements arrangement. Mining Science and Technology (Russia). 2022;7(2):161-169. https://doi.org/10.17073/2500-0632-2022-2-161-169

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