Design And Optimization Of Bumper Transplanting Equipment

Automated handling equipment has been widely used in the industry,but there is little research on the handling and identification of bumpers.In order to solve the excessive dependence of the bumper production process on human and reduce the reject rate caused by manual misoperation,the automatic bumper handling equipment was designed.The research included structural design and optimization of mechanical systems,design of electrical control systems,and identification of bumper types.In the design of the bumper fixture structure,the adaptive bumper grabbing structure is designed by the redundancy of the degree of freedom,and then the torque peak during the rotation of the clamp is calculated based on the mechanical dynamic analysis of the ADAMS,according to the torque peak,the angular velocity and the moment of inertia select a servo motor whose performance can meet the requirements of each parameter,and the inertia ratio is 8.6.The ANSYS Workbench topology optimization is used to calculate the cantilever bracket with the volume reduction of70% as the optimization target.Finally,the optimization result of volume reduction of56% is obtained,and the static calculation results of the optimized structure met the actual requirements.In the design of the electrical control system,firstly,the parameters and timing of the QD75P4 positioning module that realizes OPR control,manual control and positioning control are configured in this study,and then the synchronous control and dynamic capture of the grabbing system are applied.The data of the technical Q64 AD module is read and written,and finally the function and control principle of each gas path module of the total gas path diagram are explained.In the study of bumper model identification,the car bumper image is processed by the library function in Open CV,which mainly includes image segmentation based on threshold segmentation,region growing and clustering,based on minimum boundary moment,superposition method and cluster heart.Region of interest extraction,feature extraction based on Canny operator,template matching based on Hu moment.The experimental results show that the processing method based on cluster segmentation and cluster method is the best.Comparing the matching results of the three calculation methods based on Hu moment pattern recognition,it is found that the sensitivity of different calculation methods to contour size is different.Formula 1 is selected as the calculation method of rear bumper matching degree,and formula 2 is used as the calculation method of front bumper matching degree.The classification result can be optimized.In this study,the virtual prototype was used to design and calculate the machine model,and then the actual use was used to test.Through the improvement of the problems in use,the expected experimental results were finally achieved.