A Prediction Method of Contour Accuracy of Linkage Trajectory Based on Big Data of CNC Machine Tool

Abstract

A method for predicting the contour accuracy of a linkage trajectory based on the big data of a numerical control (NC) machine tool includes the following steps: establishing a machine tool big data cloud database; establishing a linkage trajectory simulation model of an NC machine tool, reading excitation displacement instructions and the end displacement of an actuator / the feedback displacementof a grating / the feedback speed of an encoder in the cloud database, and establishing transfer functions of the axes of the NC machine tool based on the data, wherein the transfer function of the axesconstitute the linkage trajectory simulation model of the NC machine tool; inputting part displacement instructions to the transfer functions of the axes to obtain the actual displacements of the axes of the NC machine tool; and finally, establishing a linkage trajectory contour accuracy prediction model, synthesizing the actual displacements of the axes of the NC machine tool into an actual linkage trajectory, and synthesizing the part displacement instructions into an instruction linkage trajectory, and calculating the normal contour error of the actual linkage trajectory and the instruction linkage trajectory to predict the accuracy of the linkage trajectory. Through the method, the contour accuracy of a to-be-processed trajectory can be predicted before processing, cost can be reduced, and the processing accuracy of parts can be improved.

Description

Technical field [0001] The invention belongs to the technical field of numerical control machine tool control and big data, and in particular relates to a method for predicting the accuracy of linkage trajectory contours based on large data of a numerical control machine tool. Background technique [0002] As an "industrial mother machine", CNC machine tools have an irreplaceable position in the manufacturing industry. Improving the accuracy of CNC machine tools is the goal of machine tool designers and manufacturers' unremitting efforts. [0003] In actual production and processing, parts are usually processed through CAD, CAM and CNC machine tools from design to processing. CAD designs the geometric shape of the part, CAM converts the geometric shape of the part into NC code, and the CNC machine tool performs processing according to the NC code. Although the design shape of the part is formed by CNC machine tool processing, it is often impossible to predict in advance whether th...

AI Technical Summary

Problems solved by technology

Although the design shape of the parts is formed by CNC machine tools, it is often impossible to predict in advance whether the selected processing machine tools are reasonable and whether they can be processed efficiently while meeting the precision requirements, especially in complex machining with high efficiency and high precision. In the case of curved surface parts, you can only choose a high-performance machine tool with better man-hour cost, which increases the processing cost

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