Research On Working Device Of Walking Reclaimer

Intelligent mechanization is the development trend of modern mining engineering.In order to improve the mechanization level of underground operations,walking reclaimers came into being.The walking reclaimer is a kind of mining machinery with convenient operation and co Mpact structure.However,the overall quality of the walking reclaimer is too large,resulting in high energy consumption and low economic benefits.In order to solve the problem of excessive mass of the walking reclaimer,this article conducts research from the following aspects:Based on the mechanics theory,the minimum cross-sectional size of each component is calculated.Co Mpare it with the actual cross-section to get whether the design size meets the requirements of the working condition.Then carry out structural analysis according to specific functions,and also complete the three-dimensional modeling of its structure and the selection of dangerous working conditions.Several dangerous working conditions were obtained through calculations,and finite element analysis was carried out on the boom part of the walking reclaimer working device under dangerous working conditions using finite element analysis software,and the boom part subjected to various working conditions was analyzed.The magnitude of the stress and the resulting deformation.Co Mparing the calculation result with the rated stress value and deformation value,it is proved that the design of the boom part of the walking reclaimer is qualified,but the design size is redundant and there is a lot of room for optimization.To co Mpare and test the stress of the walking reclaimer based on the current situation of dimensional redundancy,select the measuring point reasonably,and measure its working stress through the electrical measurement method.After the measurement,the strategy result is co Mpared with the finite element result.Prove the rationality of the finite element results and explain the necessity of lightweight design.In view of the large redundancy of the size design proposed above,singleobjective size optimization is carried out.Set the wall thickness variable with the lightest weight of the whole machine as the optimization goal,systematically sample by the Latin hypercube test method,build a response surface model based on each sampled point,determine the sensitivity difference of each variable to the objective function,and finally use genetic The function is the method for single-objective optimization design,and the optimal solution is selected as the optimization result.In the end,the quality is reduced by about one-fifth.