Research And Optimization Of Working Performance Of Spiral Drum Of Shearer Under The Conditions Of Coal Seam With Dirt Band

The shearer working under the coal seam with dirt band,whose working conditions are poor,and the load is complex,the experiments about cutting and crushing process which carrying on the physical prototype are both difficult and risky,and costly,in the process of cutting and crushing the coal rock,multi-factor coupling effect,gradient characteristics of feature parameters,which makes the design basis of mining machinery is difficult to quantify.Based on "national natural science fund project","MG400/951-WD new type shearer reliability research" and "shearer drum aided design and load calculation software development",using the method of field survey sampling analysis,theoretical calculation and numerical simulation,the combination of kinematics and dynamics simulation of virtual prototype,the coal sample of Yanzhou coal industry in Ordos Jade mine is tested by physical and mechanical properties,and the physical and mechanical Property Index of coal sample is obtained.Based on MATLAB、PRO/E、ANSYS、ADAMS,the model of rigid-flexible coupling virtual prototyping of shearer is established,found the key parts of the weak links and improved and optimized,based on the BP neural network,the reliability of the key parts under other operating conditions is forecasted,and the whole machine is reliable.Based on SPH and Edem,a coal-rock coupling model with finite element and discrete element helical drum is constructed,and the physical and mechanical properties of coal and rock are studied.The arrangement and movement parameters of the cutting gear of the drum(drum speed,traction speed),structural parameters(intercept distance,spiral angle,installation angle)on the drum cutting performance,coal loading performance and key components(alloy head,tooth body,tooth seat,blade)the reliability of the iMPact of the cutting ratio of energy consumption,load fluctuation coefficient,as a comprehensive performance index,the coal loading rate and the reliability of the key parts are used to construct the state function of the comprehensive multi-objective optimization design of the spiral drum,and the optimal solution of the design variables of the spiral drum is obtained by using the particle swarm genetic hybrid algorithm,and the comprehensive performance and reliability of the helical drum are improved.This paper has 138 figures,55 tables,118 references.