Research On Wear Analysis Optimization And Life Prediction Of Coal Falling Pipe In Transfer Station

The wear of the coal falling pipe in the transfer system is the focus of attention in the industry.This article changes the traditional idea of using high-cost wear-resistant materials to alleviate wear,and instead optimizes the structure of the equipment to alleviate wear.In this paper,a new type of transfer system is designed based on the principle of discrete element,and the problem of coal falling tube wear in the transfer system is studied,and the optimal conditions for the minimum amount of falling coal tube abrasion are sought.The specific research is carried out from the following four aspects.First of all,based on the principle of DEM discrete element,a curved coal drop tube that is different from the traditional coal drop tube is designed,and a three-dimensional model of the new type of transfer device is constructed and imported into the EDEM software for simulation analysis.After the initial wear simulation is done,the wear conditions of each part are compared,and it is determined that the curved coal falling pipe is the most severely worn part of the entire transfer device.Therefore,from the four main factors of particle sizeod is used to study the influence of each factor on the abrasion of the coal falling pipe.Secondly,the orthogonal experiment method is used to design the discrete test point combination of each influencing factor parameter,and the range analysis method and the variance analysis method are used to analyze the primary and secondary order of the influence of each factor,the superiority level of each factor,and the most influential parameter.Optimal combination,while using simulation to verify the accuracy of the test.Thirdly,using ANSYS Workbench to simulate and calculate the liner of the curved coal falling pipe,and obtain the wear amount when the liner fails.The amount of wear when the liner of the curved coal falling tube fails is the wear limit of the falling coal tube not working properly,and it is the basic data value for the life prediction of the curved coal falling tube.Finally,using MATLAB to build a BP neural network to predict the life of the curved coal pipe liner.On the basis of simulation and orthogonal test data,the BP neural network database is constructed and trained to make it have the ability to predict the life of the curved coal pipe liner based on the input parameters.The BP neural network was tested with the test samples of the coal falling tube,which proved that it has the ability to accurately predict the service life of the curved coal falling tube.This is of reference significance for the safe and stable operation of equipment in engineering practice.