Process simulation in temperature control system of oil in autogenous grinding mill
Natalia Borisovna Sibirtseva, Alexandr Vladimirovih Belousov, Alexey Sergeevich Soldatenkov
Natalia Borisovna Sibirtseva
Available Online July 2017.
- https://doi.org/10.2991/aime-17.2017.130How to use a DOI?
- mathematical modelling, automated system, load ratio, oiling system, mill
- To ensure smooth operation of grinding equipment, it is necessary to regulate oil parameters of oil-pumping stations used for greasing of various mill moving parts including bearings. As a rule, central oiling systems are local positioned machinery not being a part of the automated dispatch control system of grinding operation. However, the pressure quantity in the oiling system is one of the signals which defines the degree of load ratio, for example, of autogenous grinding mills, therefore it is suggested that such system should be included into the automated control system of grinding operation. For the purpose of oiling system functioning and its parameters regulation for load ratio measurement, the article presents numerical calculations of the mathematical model of the oil cooling system and simulation modelling of this system operations. The simulation results have shown that the proposed structure of oil cooling system has high efficiency and sufficiently low response time. As a consequence, the proposed system provides necessary operating temperature of the oiling system of input and output mill bearings and allows one to measure oil pressure to define the load ratio
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Natalia Borisovna Sibirtseva AU - Alexandr Vladimirovih Belousov AU - Alexey Sergeevich Soldatenkov PY - 2017/07 DA - 2017/07 TI - Process simulation in temperature control system of oil in autogenous grinding mill BT - International Conference "Actual Issues of Mechanical Engineering" 2017 (AIME 2017) PB - Atlantis Press SN - 2352-5401 UR - https://doi.org/10.2991/aime-17.2017.130 DO - https://doi.org/10.2991/aime-17.2017.130 ID - Sibirtseva2017/07 ER -