Assessment of effect of lining material on energy efficiency of starting up ball mills

Abstract

The article presents the possibility of increasing the service life of mill lining. Special attention is paid to the use of rubber linings for mills. A mathematical model of the asynchronous motor of ore grinding mills has been developed, i.e., the moment of resistance is shock. A system of equations for a synchronous motor of a mill plant for the d and q axes is described. Based on mathematical modeling of mill plant operating modes, it was determined that the corrosion coating prolongs the mill's service life, and the transition time is reduced to 10%.

Experimental study of improved constructions increasing the efficiency of ball mill protective coatings used in enrichment factories

“…In today's market conditions, reducing mill downtime by 7-9 days per year (2-3%) can economically justify or exceed the annual cost of replacing the first stage mill lining. This is especially true for beneficiation factories of gold mining enterprises, because the downtime for lost metal in such enterprises is several hundred million soums [4][5][6].…”

Express diagnostics of power oil transformers by vibroacoustics and partial discharges

“…The development of all economic sectors, an increase in the standard of living of the population causes an increase in electricity consumption and, as a result, an increase in the load on electric power equipment [1][2][3][4]. At the same time, a large number of powerful power transformers, which are important and expensive equipment of the electric power industry, are operated in excess of the designated resource [5,6]. Despite extensive experience in the power system of technical operation of transformers, there are cases of sudden failure of transformers without the possibility of their further restoration.…”

“…In recent years, both in the energy system and in industrial enterprises, cases of damage to transformers are frequent. Reducing the breakdown rate of transformers and increasing the service life of each transformer by 10-15 years will allow you to save a lot of money [5][6]. Despite the constant increase in funds allocated for the renewal of the fleet of power equipment, to date, it has not been possible to significantly change this situation [7,8,9].…”

Development of a simulation model for assessing the technical condition of transformers exploited in hydroelectric stations

“…Determining the value of the condition of transformers makes it possible to prevent possible failures in them [3][4][5][6][7]. Modern systems based on artificial intelligence (SI) tools, such as artificial neural networks (SNT) and artificial fuzzy logic (SNM), can solve this problem due to the ability to learn input data and perform approximate calculations [7][8][9][10][11][12][13][14][15][16]. In order to evaluate the technical condition of the transformer, it is necessary to determine the parameters describing its condition.…”