Structure Design And Application Research Of Multi-roller Rod Mill

As an important process in the process of ore dressing,ore grinding realizes the separation of all or most of the monomer of the useful components of ore and satisfies the granularity requirements of the separation operation.Combined with the engineering practice,this paper proposes a multi-roller bar mill,adopts the optimization method of multi-objective grinding process parameters based on improved genetic algorithm,and carries out relevant experimental research.The main contents of this paper include:1.Based on the analysis of the process characteristics of the concentrator and the equipment,a multi-roller rod mill was proposed,the main structure and parameters were designed according to the engineering practice,and the 3d model was built with SolidWorks.2.Simulation study on mechanical performance of bar mill,finite element analysis of grinding barrel and dragging roller of the machine was carried out with ANSYS Workbench,the results showed that the static and dynamic performance indexes of the key parts of the machine can meet the requirements of grinding operation,especially the theoretical basis for selecting the speed range of bar mill.3.Based on the multi-objective optimization research of grinding process,the system variables related to grinding performance are determined through the multi-stage hierarchical structure of grinding process,the similarity criterion groups reflecting the characteristics of grinding process and their functional relations are obtained through dimensional analysis,and the evaluation model of grinding performance of multi-roller bar mill is established.Then combining with the experimental data,the unknown parameters in the mathematical model were identified by regression analysis,and a systematic mathematical model was established to characterize the grinding performance.At last combined with the actual production conditions,in the process of multi-objective optimization model is established,using the improved genetic algorithm was used to solve multi-objective optimization model,get the PARETO solution set,and USES the TOPSIS multi-objective decision analysis method,choose a set of optimal solution from the solution concentration,namely multi-objective optimum technological parameters combination is:Per feeding 0.529,Feed particle size 2.046 mm,Medium filling rate is 44.28%,Pulp concentration of 68.7%,the rate of 83.26%.4.Experimental verification:according to the production situation of a concentrator,a bar mill with similar structure to this paper was selected,and the grinding performance was verified by comparing the current working condition parameters of the manufacturer with the multi-objective optimization parameters set in this paper.The results showed that: after optimization,the production conversion rate increased by6.17%,the energy efficiency increased by 4.77%,the homogeneity index of the products increased by 1.237,the comprehensive grinding performance of the bar mill was improved,and the grinding mineral quality was improved.Conclusion:the proposed multi-roller bar mill structure conforms to the design requirements,based on the optimization results of multi-objective grinding process parameters based on the improved genetic algorithm,can effectively improve the grinding performance of multi-roller bar mill in practical engineering applications,can meet the demand of multi-batch,multi-variety,high-efficiency ore dressing.