| With the rapid development of the manufacturing industry,high economic efficiency and high-quality production design processes are the production targets of manufacturing companies.In recent years,the application of design methods based on optimization techniques to the production of precision forging design processes has yielded practical results.In this paper,taking flange joint design as an example,precision forging technology,numerical simulation,combined with support vector machine evaluation modelling,and improved genetic algorithm optimization method theory has been used to design the forming process for flanged universal joint transmission parts.The production verification is carried out for the optimal composite forming process design scheme after the decision optimization,and provide a new scientific design method for the precision forging design.First of all,two different forming process plans are designed for the problems of the forging forming process and the actual production of flange joints.Simulated the forming process of two different solutions by the finite element software Deform and analyze simulated results.According to the analysis results,it is considered that the die stress,die cumulative wear and maximum forming load of the second scheme are relatively smaller,the filling is complete,and the production defects are small.After the determination of the second plan,the mechanism of the defects generated by the numerical simulation of the positions of the punches and the different pre-designed shapes was studied.In order to study the influencing factors of the final forming forging quality and reduce the forging defects,the three influencing geometric parameters of the pre-designed forging were finally chosen as design variables.The Latin hypercube test was designed and numerically simulated with the cumulative die wear and the maximum forming load as targets.Second,the SVM evaluation model is used to learn and generalize the data obtained from numerical simulation as a learning sample set,and then a data evaluation model is established.The objective function of the improved genetic algorithm is based on the introduction of two sub-objective learning data to establish non-Linear explicit fitting equations,based on the Matlab software toolbox for optimization,Pareto front-end non-inferior solution set was obtained,and decision-making preferences were used to obtain the optimal combination forming process design proposal after optimization.Comparing the numerical simulation results of the optimized pre-formed design solution with the pre-optimized process design,the cumulative die wear of the die decreases by about 46.6%,and the maximum forming load decreases by 65.2%.Finally,based on the optimized pre-form process design,a flanged universal joint die forging die was designed and verified for production.The life of the die was increased from5000 to 7500;the maximum forming load for back extrusion was 3000 ton was reduced to 1500 tons,and the yield was high.This paper combines statistical theory to obtain the optimized combination forming process design plan for the flange-type universal joint transmission.The forming process design not only has a high yield,reduces die wear and reduces the maximum forming load,but also shortens the design cycle.This research achievement and its optimized design method provide basic theory and feasibility basis for the follow-up forging process. |
