Calculation of the optimum parameters of a gyrating crusher for rock crushing

Optimization of operating parameters and modeling of the operation of equipment for the processing and preparation of products of mining plants is an urgent task. Crushers are often used as such equipment. Single-roll gyratory crushers can be used directly in mines for rock crushing. In this paper, using a differential equation, the optimal parameters of such a crusher are calculated. The paper shows that the form of the cheek of the working chamber, which is rational from the point of view of productivity, is the arc of a logarithmic spiral. The obtained mathematical models make it possible to determine the performance of the crusher and the rotational speed of its main working body. Thus, models and expressions were obtained for calculating the kinematic components of the loads on the crusher roll. Using the concept of fuzzy («fuzzy») sets, multi-criteria optimization of the parameters of the working chamber was performed: the eccentricity and the central angle of the beginning of the cheek profile. Due to the optimal choice of the profile of the working chamber and the angular coordinates of the installation of fixed jaws, a decrease in the coefficients of variation of the kinematic components of the loads on the working body is achieved: the moment – by 1.67 times, the radial load – by 1.2 times.

Keywords: multicriteria optimization, single-roll gyratory crusher, kinematic components, working chamber, eccentricity, frequency, rotation, performance, mathematical modeling.
For citation:

Kondrakhin V. P., Konyukhov V. Yu., Polyakova A. S., Moiseeva E. E., Boyko A. А. Calculation of the optimum parameters of a gyrating crusher for rock crushing. MIAB. Mining Inf. Anal. Bull. 2023;(11-1):88-101. [In Russ]. DOI: 10.25018/0236_1493_2023_111_0_88.

Acknowledgements:
Issue number: 11
Year: 2023
Page number: 88-101
ISBN: 0236-1493
UDK: 621.926.9
DOI: 10.25018/0236_1493_2023_111_0_88
Article receipt date: 06.07.2023
Date of review receipt: 24.08.2023
Date of the editorial board′s decision on the article′s publishing: 10.10.2023
About authors:

V.P. Kondrakhin, Scientific Department, Kh. Ibragimov Complex Institute of Russian Academy of Sciences, 364906, Grozny, Russia, e-mail: vkondrakhin52@mail.ru,
V.Yu. Konyukhov, Cand. Sci. (Eng.), Professor, Assistant Professor, Irkutsk National Research Technical University, 664074, Irkutsk, Russia, e-mail: konyukhov_vyu@mail.ru,
A.S. Polyakova1, Cand. Sci. (Eng.), Senior Lecturer, e-mail: Polyakova_nasty@mail.ru, ORCID ID: 0000-0003-1035-4403,
E.E. Moiseeva1, Cand. Sci. (Econ.), Assistant Professor,Head of Chair, e-mail: mee.05@mail.ru,
A.А. Boyko1, Cand. Sci. (Econ.), Assistant Professor, e-mail: boiko@sibsau.ru, Siberian Federal University, 660041, Krasnoyarsk, Russia, Artificial Intelligence Technology Scientific and Education Center, Bauman Moscow State Technical University, 105005, Moscow, Russia, ORCID ID: 0000-0001-7185-2890,
1 Reshetnev Siberian State University of Science and Technology, 660037, Krasnoyarsk, Russia.

 

For contacts:

V.P. Kondrakhin, e-mail: vkondrakhin52@mail.ru.

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