Research On Parameter Optimization Of Large-scale Ball Mill

Ball mills are widely used in mining operations because of their strong adaptability to the environment,stable work,simple maintenance,and easy automation control.However,due to the large energy consumption and low energy utilization rate of the ball mill,improving the working efficiency of the ball mill can reduce the cost of the ore dressing plant and increase the output.Based on the study of the motion law of the grinding medium in the ball mill,this paper makes reference to the domestic and foreign literature on mill research to carry out the optimization of the parameters of the ball mill based on discrete elements.After discussing in detail the influence of the particle size,the filling rate of the grinding medium and the mill rotation speed on the working efficiency of the mill,the particle bonding model was used to simulate the crushing process of the material particles in the mill.The test method was designed using the cross test method.The number of fracture bonds and the power consumption of the mill were used as evaluation indexes.The particle size,mill filling rate,and mill speed of the mill were selected as test factors.Nine groups of test schemes were determined.The EDEM software was used to simulate the 9 test plans and process the obtained data.First,the range analysis method is used to determine the primary and secondary relationship between the factors and the best combination of each factor.The variance analysis method is used to analyze the importance of each test factor,and the comprehensive analysis is used to obtain the optimal working parameters.The research results show that different single factors have different effects on the working efficiency of the mill.With the increase of the particle size of the grinding medium,the collision energy loss between the grinding medium and the rock particles gradually decreases,and the power consumption of the mill decreases first and then increases;the increase of the filling rate of the grinding medium increases the collision energy loss between the grinding medium and the rock particles.The power consumption of the mill is on the rise;the increase of the mill rotation speed increases the collision energy loss between the grinding medium and the rock particles first and then decreases,and the mill power consumption increases and then decreases.The effect of different factors on the evaluation index is obtained through the range analysis method.For the number of broken bonds,the primary and secondary degrees of the three factors are the grinding medium filling rate,grinding medium particle size and mill rotation rate;In terms of power,the primary and secondary degrees of the three factors are the filling rate of the grinding medium,the rotation rate of the mill,and the particle size of the grinding medium.Through the analysis of variance,the importance of different factors is obtained.The filling factor of the grinding medium has a certain effect on the number of broken bonds.The remaining two factors have no significant effect on the number of broken bonds.Affected,the speed of the mill has a certain effect on the power consumption of the mill,but the effect of the particle size of the mill on the power consumption of the mill is not significant.Through comprehensive analysis,the optimal parameter combination is obtained and verified,and the results meet the requirements.