Optimizing control of mining machine power-units within the normal power setting range by means of engine oil quality monitoring

This article describes the studies into intensification of energy conversion in powerunits of mining machines. The current use environment of power-units features a greatly enlarged range of requirements imposed on them, such as unfailing performance, eco-friendliness and resource-saving. It is necessary to work out a system approach to meeting the new operability standards of mining machines. It is proposed to increase efficiency of combustion engines by reducing friction losses within the normal power setting range in case of use of the test oils. Regarding the friction loss reduction, it is important to lower oil viscosity at the preserved oil quality, including the supporting capacity of oil film. The oil quality monitoring can allow optimization of oil viscosity, reduction in hydraulic loss in oil inlet and outlet, and an essential decrease in mechanical losses. During the research, a method of in-line machine oil quality rating was developed. A simulation system created for the machine oil quality rating enables oil quality analysis at all normal power settings. The proposed engineering solutions made it possible to diminish greatly friction losses and to enhance efficiency, eco-friendliness and reliability of power-units at all normal power settings.

Keywords: machine oil, mining machines, quality rating simulation system, combustion engine, friction losses, resource-saving, in-line machine oil quality control, mining machine oil quality monitoring.
For citation:

Belikova D. D., Morozov E. V., Khisamutdinova E. L. Optimizing control of mining machine power-units within the normal power setting range by means of engine oil quality monitoring. MIAB. Mining Inf. Anal. Bull. 2021;(6):95-103. [In Russ]. DOI: 10.25018/0236_ 1493_2021_6_0_95.

Issue number: 6
Year: 2021
Page number: 95-103
ISBN: 0236-1493
UDK: 622.323
DOI: 10.25018/0236_1493_2021_6_0_95
Article receipt date: 01.06.2020
Date of review receipt: 09.10.2020
Date of the editorial board′s decision on the article′s publishing: 10.05.2021
About authors:

D.D. Belikova, Graduate Student, e-mail: belikova.daria@gmail.com, Saint-Petersburg Mining University, 199106, Saint-Petersburg, Russia,
E.V. Morozov, Adjunct, Military Academy of Logistics, 199034, Saint-Petersburg, Russia,
E.L. Khisamutdinova, Applicant, Saint-Petersburg State University of Industrial Technologies and Design, 191186, Saint-Petersburg, Russia.


For contacts:

D.D. Belikova, e-mail: belikova.daria@gmail.com.


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