The Analysis And Optimization Of The Curve Coal Pipe In Transportation System

In recent years,with the development of science and technology,the demand of factory on construction environment continuously improve,the reliability of the transportation system and the construction site dust suppression in the process of the coal transportation increasingly cause the attention of the relevant scholars.How use the optimization design of coal drop pipe curve to reduce the production of plugging and coal dust phenomenon during the transfer process,which has became a hot spot in the study of transport systems.The curve of coal system based on DEM design has low noise,low pollution,long service life,low cost and so on advantages,including the structural parameters of coal drop pipe curve directly affect the effect of the stem and dust suppression in the whole system.Therefore,finding out the reasonable way of optimizing and designing coal drop pipe curve is very necessary.At present domestic through the method of DEM to optimize coal drop pipe curve,mainly concentrated in the theory research,qualitative analysis,a separate design for specific conditions,etc.Because there is a great difference between the transport locations of coal and working condition,the design of the transportation system also will become complicated and haphazard,traditional design method can't give the structure parameters optimization scheme with broad fitness,it can only qualitative choose the coal drop pipe curve which makes coal movement more orderly and then according to the simulation results adjusted repeatedly.This text has design on several kinds of coal drop pipe curve structures with ideal effect in the current research and the practical application,analyzed the impact of coal drop pipe curve structure parameters on coal flow whereabouts,and adopted the neural network,genetic algorithm and weighted average method etc as optimization methods to optimize it,finally applied the similarity theory to design the miniatures model test,and thus proving the validity of the method.The research goes ahead mainly according to the following steps:According to the actual working condition of transportation system,establish the speed model and geometric model of the system,and calculate several kinds of coal drop pipe generatrix equation in the draft research,find out the main parameters that influence coal drop pipe structure.According to the working condition of a certain power plant's transport system,make the throughput of coal,the physical properties of coal,the structural parameters of conveyor and so on parts which have small correlation with coal drop pipe curve optimization fixed.Later,through DEM numerical simulation,use single variable method to analyze height,center distance,exit angle and so on structure parameters of coal drop pipe curve's impacts on coal flow velocity at the coal drop pipe exit,and obtain the weight of each main influencing factors.Use MATLAB and combined with orthogonal experiment table and DEM simulation to build a BP neural network training samples database.Based on the makefile of genetic algorithm aim at combination optimization programming language of coal drop pipe curve parameter,respectively to find out the optimum service conditions of each form coal drop pipe,aim at renovation project of the system and combined with weighted average method to make an optimization.Finally according to the actual size of a certain power plant's transfer system and combined with the similarity theory,design and processing a 1:10 scale narrowing model,carry out experiment to verify the correctness of the DEM simulation,and analyze the experimental results.