Optimization Of Automobile Floor Forming Based On Response Surface And Genetic Algorithm

The drawing process of automobile floor is a highly nonlinear process.Once the design variables are unreasonable,the quality defects such as excessive thinning,cracking and wrinkling will occur.In recent years,with the continuous development of numerical simulation technology and optimization theory,many scholars have used numerical simulation technology and optimization theory to predict and optimize the drawback defects of sheet metal,and reduce the production cost of enterprises.However,due to the differences in geometry,material and drawing boundary of different stamping parts,a single optimization method has some limitations.The combination of numerical simulation and optimization theory to optimize the drawing process parameters is still a hot topic in this field for a long time.Based on the response surface method and genetic algorithm optimization,based on the Dynaform finite element software platform,the light truck chassis of FAW Automobile Manufacturing Co.,Ltd.the light truck chassis is selected as the research object,aiming to select the best process and improve the forming quality.This article mainly completes the following work:(1)In view of the defects in the drawing of this paper,the basic theory of its defects is described in detail.(2)By using UG software and Dynaform software,the modeling of automobile floor,the design of processing supplementary surface,the drawbead setting,the debugging of technological parameters,and the drawing analysis of automobile floor are analyzed.(3)The nonlinear relationship between process parameters and the forming quality of the automobile chassis based on its detailed design variable selection principle,and the forming quality evaluation index based optimal Latin hypercube sampling Ding,constructs the model of response surface optimization of car floor.The fitting accuracy of the response surface optimization model is verified,and it is satisfied to the quality requirements of the forming of the car floor.(4)The genetic algorithm combined with the response surface optimization model was applied to optimize the process parameters in the drawing process of the car floor,and the optimal combination of process parameters was obtained.Based on the optimal combination of process parameters,Dynaform software is used to verify the simulation,and the experimental platform is tested.Through simulation and experimental verification,compared with the results before and after optimization,we can see that the above methods can effectively predict the formability of automobile bottom plate and optimize the technological parameters of the drawbead forming process.