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Crushing Performance Analysis And Experimental Study On Vibration-slow Shear Crusher

Posted on:2019-06-25Degree:MasterType:Thesis
Country:ChinaCandidate:C LiFull Text:PDF
GTID:2321330548459963Subject:Mechanical engineering
Abstract/Summary:PDF Full Text Request
Crusher,as the main equipment of ore breakage,is widely used in ore processing industry.In the context of the worldwide shortage of energy and gradually depletion of ore,improving work efficiency of the crusher and reducing the energy consumption of crushing will be the main problem facing in the current.Therefore,there is great significance in carrying out the research on the crushing performance of crusher,to realize the efficiency,energy saving and environmental protection of the crusher.The vibration-slow shear crusher as the research object,following works has been finished by combining theoretical research,numerical simulation and experimental analysis method.Based on discrete element method combined with ore crushing experiment,a multi-scale cohesive ore particle model which meets crushing characteristics of ore is constructed.The simulation model of vibration-slow shear crusher is established by using the constructed ore particle model and the visualization of crushing process is analyzed.The effect of crushing parameters on crushing performance of crusher is discussed according to the single factor experiment.Prediction models of crusher crushing performance are established by RSM(response surface method)and prediction models are optimized and verified.The main conclusions of this paper are as follows:(1)On the basis of single particle ore crushing experiment,using discrete element method from perspective of multi-scale ore geometry and multi-scale ore mechanical properties completed the construction of single particle ore model and ore particle group generation which accord with crushing particle size distribution and ore crushing mechanical properties.Analyzing the micro mechanism of ore crushing by using the ore particle model indicate that the fracture of a large number of microscopic strong force chains is a microscopic expression of ore macroscopic crushing and the number of microscopic strong force chains determines the ability of the ore to resist damage.(2)Experimental study on the crushing parameters' effects on the crushing performance of vibration-slow shear crusher,by analyzing the structure and working principle of vibration-slow shear crusher determined that the main crushing parameters affecting the crushing performance of the crusher are outer cone speed,inner cone amplitude,inner cone vibration frequency,crusher discharge gap and ore feed speed.Taking-6mm ore productivity and mechanical energy consumption as evaluation index of crushing performance,the main and secondary degree of crushing parameters' effects on the crushing performance of crusher is obtained by the experiment.(3)The simulation model of vibration-slow shear crusher is established by combining EDEM and ADAMS,and the visualization of crushing process is analyzed.The crushing parameters' effects on-6mm ore productivity and mechanical energy consumption are researched by single factor test methods.(4)Setting outer cone speed,inner cone amplitude,inner cone vibration frequency,crusher discharge gap and ore feed speed as regression parameters.Multiple regression prediction models of-6mm ore productivity and mechanical energy consumption are established by RSM(response surface method).using prediction models optimize the crushing performance of the crusher,through comparing predictive value,experimental value and simulation value,the correctness of prediction models are verified.To sum up,the research in this paper establish a theoretical foundation for the optimization analysis of vibration-slow shear crusher's crushing performance,and also provided some practical guidance for energy saving and consumption reduction of vibration-slow shear crusher and other crushing equipment.
Keywords/Search Tags:vibration-slow shear crusher, multi-scale cohesive ore particle model, crushing performance, discrete element method
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