Performance Modeling And Dynamic Optimization Of Crusher For Crushing Production Process

Compressive crusher is the main equipment in the crushing plant,which is composed of a single crusher and peripheral equipment or a series of crushing equipment.It can be composed into a gradual crushing flow.Usually after being working for a while,the compressing crusher could achieve the best operating performance.However,as more material is crushed,its operating performance will be going down,which mainly appears as some critical performance,like the output,product size and product shape,are getting worse.And this usually results in a decrease on the economic benefit for the end user.The works of this paper include,(1)Establishing multi-material crushing force and energy model.Analyzing the factors,which have effects on the crushing force and energy,and to find the critical ones by compression experiments.Taking the typical crushing material implement the crushing experiment to study the relationship between crushing force,energy and the compression ratio,size distribution index and hardness factor.Using the fitting method,such as non-linear regression,to create the crushing force model and energy model.The outcome of this study provides theoretical models for optimization of the crusher.(2)Establishing time-varing chamber wear model.The crushing process of the material is analyzed in a single crushing layer,and the distribution angle of the crushing force is presented.The model of crushing force distribution in chamber is established.In order to dynamically analyze and calculate cone crusher performance along with liner wear,a series of experiments were performed to obtain the crushed rock material samples from a crushing plant at different time intervals.A timevarying chamber wear model is obtained by studying the chamber wear data of a crushing circuit.The results show that the model is consistent with the research data,and the prediction of wear is realized.The outcome of this study provides theoretical models for dynamic optimization of crushing process.(3)Establishing mathematical modeling of particle size and particle shape of compressive crusher.In order to quantitatively analyze and calculate crushing quality and support for cone crusher optimization design,an improved cone crusher manipulation model based on the inter-particle breakage theory is built by studying the crushing process of cone crushers,and calculation methods of particle size distribution and particle shape are under studied.A rock mechanics testing system is used to do experiment to study the inter-particle breakage process of cone crushers.Mathematical models of particle size and particle shape are established.The relationship between particle size and particle shape is revealed in crushing process,and improving the calculation accuracy of particle size and particle size.(4)A multi-objective optimization method for a crushing production process is presented.Based on Matlab/Simulink and Adams software environment,the devices of the crushing production process are designed,modeling and package by analyzing the parametric model of virtual prototype and work flows of crushing process.Taking working performance of compressive crusher as main objective,particle shape and particle size as performance constraints,defining the range of each variables,to create the wear optimization model for compressing crusher by genetic algorithms.Finally,the performance of crusher is improved.(5)Dynamic optimization of crushing production process in engineering applications.Based on the actual crushing plant,which is analyzed,simulation model of crushing is built in Simulink environment using model library.The crushing production process is dynamically optimized to solve the optimal operation parameters condsidering liner wear,making performance of cone crusher to maintain the optimal level.Experiments show that the dynamic optimization of the crushing line can effectively control the quality of products.