Research On Optimization Of Grinding Process And Realization

Mineral processing is a complex industrial process,The current mineral processing methods are based on different nature of minerals and gangue within the mineral.This requires grinding process to achieve the dissociation of minerals and gangue.Grinding production and investment consumption occupy a large proportion of the total consumption in the concentrator,and grinding process is the key process for raw materials of mineral processing.Therefore,the grinding process design and operation have a direct impact on the economic indicators beneficiation plant.This research comes from the national A-Type scientific project,Research on Optimization Methods to Control Lean Iron Ore processing,and it is based on East Anshan Sintering Plant.The main method is analyzing the grinding process of the engineering background,and establishing the optimization model of grinding process.After that,NSGA-? algorithm is applied to solve the model.The main contents of this research are the following aspects:First,the mechanism of the entire grinding process is analyzed,including grinding process status and parameter.Aiming at the ore grinding process with a variety of ore mixed,the research use RBF neural network to establish a mathematical model reflecting the production of grinding process and particle size of grinding products.Secondly,starting from the multi-objective optimization problem,this research analyzes the basic concepts and common methods of multi-objective optimization.Through the combination of the actual situation of the site,the optimization model of the grinding process is obtained.After the genetic algorithm has been studied in detail,an improved genetic algorithm named Non-dominated Sorting Genetic Algorithm with elite strategy(NSGA-?).The research uses this algorithm to solve the optimization model of grinding process.After that,the research applies the TOPSIS algorithm to the obtained non-inferior solutions,the optimal operation plan of the grinding process was obtained.Finally,combined with the needs of industrial sites,the research sets up an optimized software platform for the whole process of mining,grinding and mineral processing,and provides a human-computer interface that is easy for operators to use.This part specifically includes the preparation of server-side and client programs,database construction and association of the algorithm.Optimization software is applied to the actual industrial scene.After the operating plan obtained from the optimization algorithm is compared with the operating plan obtained from the manual experience in the field,the results of this study are validated,at the same time this research brings economic benefits for the enterprise.