Machining Pose Optimization Based On The Balance Of Blank Allowance Based On Binocular Machine Vision

With the development of intelligent and digital technology,part of the traditional manufacturing work is gradually replaced by intelligent means.In the traditional machining process,the casting blank must go through the rough machining line before entering the finishing line for further machining.In this paper,by adding an adaptive machining station in front of the finishing line to measure the blank and optimize the machining position,the position information is transmitted to the machining center for machining,so that the casting blank can directly enter the finishing line after passing this station,saving the resources occupied by the rough machining line.In this paper,the blank of a motor seat is taken as the specific research object,and the binocular machine vision technology and 3D space point set matching technology are used as the theoretical support to design a specific solution to the problem of blank allowance matching and machining pose optimization.The main contents of this paper are as follows:(1)The theoretical data of the workpiece is analyzed and stored digitally.Get the design drawing of the workpiece from the design department of the factory and analyze the characteristics,and fully understand the processing flow of the workpiece with the process card provided by the process department.On this basis,the theoretical data of the workpiece is digitized to form a three-dimensional spatial model data in the form of point set,and the data is stored in the computer for subsequent calculation of the residual allocation scheme;(2)Based on machine vision,the contour of the workpiece is collected and its key dimensions are measured.Based on the theory of binocular vision,the contour image of the target blank is collected by camera equipment,and the coordinate position of the blank in the three-dimensional space is calculated by image processing,and the measured data is saved in the form of the three-dimensional space point set as the basic data for the subsequent calculation of the allowance allocation scheme;(3)The theoretical data and measurement data of the workpiece are compared and analyzed to form a residual matching scheme and optimize the machining pose.The theoretical data extracted from the design drawing and the measurement data obtained from the image acquisition processing are imported into the same coordinate system for 3D space point set matching processing;the three-point method is used for preliminary matching of two groups of data models to provide a better initial position for the subsequent optimization work;the ICP algorithm is used as the basis for pairing of two groups of point set data,and the goal is to evenly distribute the residual The singular value decomposition method is used to solve the optimization equation,and iterative calculation is used to obtain the residual matching scheme which meets the machining requirements,and then the corresponding machining pose is determined;(4)The digital technology of theoretical data,the measurement technology of actual blank and the matching technology of three-dimensional space point set are integrated to confirm the specific process and data interaction of each step,forming a solution that can get the required machining position according to the design drawings and the actual blank.Select the hardware according to the actual situation and experimental requirements,and test with a blank provided by the factory,and complete all steps according to the process to confirm that the solution is feasible and effective.The research results of this paper can save the investment of rough machining line and make the workpiece enter the finishing line directly after the adaptive machining station.Using intelligent means instead of artificial means can complete the task on the premise of ensuring the accuracy requirements,improve the work efficiency and save the cost of capital.