| In the construction machinery,the vehicle-mounted integrated batching device is the concrete mixing station material storage,weighing,conveying and automatic control system is integrated in a new towed concrete production device,with strong flexibility,full automation,high precision,simple installation,maximum close to the site construction and other characteristics,has been rapidly promoted and applied at home and abroad.The main work of the vehicle-mounted integrated batching device is to rely on the conveyor boom to transfer the allocated material to the tail of the mixing device,so the strength,stiffness and stability of the boom structure have very important significance for the safety of the whole device.In this paper,the rotor structure of a new vehicle-mounted integrated batcher conveyor developed by a domestic machinery manufacturer is taken as the research object.In order to improve the working stability of the product and reduce the manufacturing cost,the multi-objective genetic algorithm is used to optimize the hinge point installation position of the driving device,and the static analysis and response surface optimization design of the hinge point optimized boom structure are carried out.The specific research work is as follows:(1)The hinge point design and optimization of the luffing mechanism of the conveyor is taken as the research object.In order to achieve the optimal effect of the mechanism in the whole working state,the force analysis of the structure is carried out and its mathematical model is established to obtain the main factors affecting the force of the luffing mechanism.The multi-objective genetic algorithm optimization(NSGA-Ⅱ)is adopted to optimize the structure.Thus,the coordinate of the optimal hinge point installation position of the variable amplitude hydraulic cylinder is obtained.(2)On the basis of coordinate optimization of hinge points in the rotor structure,Finite Element Analysis(FEA)is used to carry out finite element numerical analysis on the rotor system after hinge point optimization.Through the establishment of finite element model of the rotor structure,material attributes are endowed and mesh division is performed.By applying load and constraint conditions,the strength and stiffness performance of the rotor system under different section shapes under load conditions were analyzed,and the optimal section shape scheme was determined by combining the mode shape and frequency of modal analysis.(3)Response surface analysis and optimization Based on the DOE test design method,the test design table of the rotor optimization model was established.The maximum displacement and maximum combined stress were taken as constraint conditions,and the minimum total mass of the rotor was taken as the optimization objective to establish a proxy mathematical model.The sensitivity analysis of each optimization parameter to the target results was studied through the response surface method.Based on the multi-objective genetic algorithm(MOGA),the optimal combination of section parameters meeting the design requirements was found.By comparing the difference of the jib structure before and after optimization,it was found that the weight of the optimized jib structure could be reduced by 25.1%,so as to achieve the purpose of lightweight..(4)According to the national standard,the stress experiment of the rotor is carried out,and the stress of the designed vehicle-mounted integrated batcher is collected and analyzed,and compared with the theoretical analysis results.The results show that the relative error is within 5%,which meets the design requirements,and finally ensures the correctness and reliability of the design results. |