大型半自磨机磨矿性能仿真及参数优化
[Abstract]:Semi-autogenous mill is one of the main equipment in ore dressing, and its "large scale" has become the main developing trend of grinding equipment. In view of the problem of high power consumption and steel consumption in the actual production process of large semi-self-mill, this paper is based on the National Natural Fund (NO.51265020) "Design Theory and method of Hollow Axle heavy load hydrostatic bearing under Multi-field Coupling". Based on discrete element method, the grinding performance of a large semi-self-mill is studied, and the working parameters are optimized. The main research contents are as follows: (1) the discrete element model of large semi-self-mill is established, and the values of the outermost medium detachment angle and rising height of the cylinder are obtained. Combined with the theory of medium motion, the theoretical results of separation angle and rising height are calculated, and the theoretical results are compared with the simulation results. The results show that the error between the simulation value and the theoretical value is small, which verifies the rationality of the discrete element model. (2) through the test, the motion trajectory of different steel ball filling quantity is obtained. The discrete element equivalent model of the test mill is established and the trajectory of the ball motion is simulated. The test results are compared with the discrete element simulation results of the equivalent model. The results show that the trajectory of steel ball motion obtained by experiment and simulation is consistent, and the rationality of simulation analysis of equivalent discrete element model is verified. The feasibility of applying the discrete element software EDEM to the simulation analysis of grinding performance of large semi-self-grinding machine is verified. (3) combined with the particle cumulative crushing model and the liner wear model, different working parameters (rotation rate, filling rate) are studied. (4) based on uniform design method, the influence of lining height, inclination angle and quantity on medium motion, power, the effective collision times between steel ball and aggregate and the maximum wear height of lining plate are obtained. (4) based on the uniform design method, the optimum range of working parameters is obtained. The working parameters are optimized and analyzed. 25 groups of simulation schemes are established. By quadratic polynomial stepwise regression analysis and variance analysis, the mathematical model between the parameters and the evaluation index is obtained, and the optimal working parameter combination under each index is obtained. The results show that the combination of the best working parameters is not consistent when the grinding performance evaluation indexes are selected respectively. (5) based on the analytic hierarchy process (AHP), a comprehensive evaluation mathematical model of grinding performance is established. Through the construction and consistency test of judgment matrix, combined with the calculation of relative importance weight of different hierarchical structures, the optimal working parameters combination under the comprehensive evaluation index is obtained, and the results are compared with the results of the original working conditions. The results show that when the rotation rate is 84, the filling ratio is 35, the number of linings is 52, the height is 200 mm and the inclination angle is 35 掳, the specific power and the effective collision times between the steel ball and the mineral material are increased by 10.78 and 15.47, respectively. The maximum wear height of the liner is reduced by 10.81 and the comprehensive grinding performance is improved by 17.25. Based on the uniform design method and the analytic hierarchy process, the working parameters of the semi-self-grinding machine are optimized and analyzed in this paper, which effectively improves the grinding performance of the mill and provides a reference for the study of the grinding performance of the large-scale semi-self-grinding machine.
【学位授予单位】:吉林大学
【学位级别】:硕士
【学位授予年份】:2016
【分类号】:TD453
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