Particle Size Distribution Dynamics Simulation Technology And Software Development In Particle Grinding Process

In the industrial beneficiation process,the mineral particle grinding process is a fine stage.At this stage,the mineral particles become larger and smaller under the action of external force.On the one hand,the active components of the ore are fully and ideally dissociated,and on the other hand,the size of the mineral particles is gradually reduced to meet the requirements of production indicators,creating conditions for subsequent sorting processes.The particle size distribution is a key indicator in the particle grinding process.It represents the percentage of the mass of the particles in each size range to the total mass.The particle size distribution of the particle grinding process can reflect the particle breakage.Dynamic simulation is a stochastic simulation method.It can not only reflect the randomness of particle breakage,but also objectively simulate the dynamic process of particle size distribution during particle grinding.It can describe the movement mode of mineral particles from microscopic angle and improve the simulation.Precision.The existing methods mainly rely on the prediction method of the dynamic simulation model to realize the dynamic prediction of the particle size distribution,and lack the dynamic simulation software that can be used in the particle grinding process.In view of the above problems,this paper designs and develops the particle grinding process dynamics simulation software to realize the prediction of the particle grinding process under different operating conditions.The main work is as follows:(1)Construct three kinds of particle grinding process simulation models,which are first-order dynamic model,Monte Carlo dynamic simulation calculation model and ?-leap dynamic acceleration model.Among them,the first-order dynamic model is a deterministic model,which completes the whole simulation process by solving the equations.The Monte Carlo dynamics simulation model and the ?-leap dynamic acceleration model are stochastic models based on dynamic methods.These two models can not only reflect the randomness of particle breakage,but also dynamically simulate the particle grinding process.(2)Based on the construction of the above three simulation models,the particle grinding process simulation software is designed and developed to realize the prediction of particle size distribution in the particle grinding process under different simulation models.Among them,the design part includes two parts:functional design and module design.The development part is based on Python+PyQt technology to realize the development of three modules.(3)Experimental verification of the developed particle grinding process dynamics simulation software,on the one hand to verify the main functions of the software.On the other hand,the accuracy of the three models was verified by comparison with data verified by actual industrial sites in the references.The particle grinding process simulation software developed in this paper can simulate,calculate,demonstrate and view the results of the particle grinding process.It can be used for dynamic prediction of particle grinding processes under different operating conditions.Online forecasting is achieved through a fast calculation module.It provides a tool for optimizing production and reducing energy consumption with the goal of optimizing the particle size distribution of the particle grinding process.