Numerically-controlled machine tool acceleration and deceleration intelligent optimization method and device using online measurement

Abstract

The invention discloses a numerically-controlled machine tool acceleration and deceleration intelligent optimization method and device using online measurement. The method is applied to a CNC platformso as to achieve the closed-loop optimization of the interior of a CNC, and comprises the following steps of: S1, collecting the trial machining data of a workpiece, and carrying out online measurement of the contour error of the workpiece; S2, judging whether the contour error of the workpiece meets a preset machining requirement or not, and conducting speed curve optimization under the condition that the contour error of the workpiece does not meet the preset machining requirement; S3, conducting trial machining on the workpiece again, repeatedly executing the step S1 and the step S2 till the contour error of the workpiece meets the preset machining requirement, thereby obtaining a speed curve optimization result; and S4, using the speed curve optimization result to perform normal machining on the whole workpiece. According to the method, the reliability and stability of the final machining quality of the machined workpiece can be guaranteed, data do not need to be imported into theCAM and the tool path does not need to be recalculated, and the speed planning optimization efficiency is improved on the premise that the contour precision is guaranteed.

Description

technical field [0001] The invention relates to the technical field of numerical control machining, in particular to an intelligent optimization method and device for acceleration and deceleration of a numerical control machine tool using online measurement. Background technique [0002] The scheme of relevant technology is as follows: [0003] Step 1: Measure the error of the workpiece on-line / offline, obtain the contour error data, and evaluate whether the workpiece meets the accuracy requirements; [0004] Step 2: If the accuracy requirements are not met, use the CAD model and contour error data to adjust the tool path trajectory in the CAM software, and adjust the machining; [0005] The third step: Clamp the new part, and use the tool path trajectory obtained in the second step to process to meet the requirements of machining accuracy. [0006] However, there are following defects in the solutions of related technologies: [0007] Disadvantage 1: Difficult to automat...

AI Technical Summary

Problems solved by technology

[0007] Cons 1: Difficult to automate

The optimization process spans multiple systems and multiple sets of processes, such as CAM, CNC, measurement systems, etc. Operators are required to manually import and export data in different systems, so it is difficult to automate contour error control

[0008] Disadvantage 2: The actual processing speed cannot be optimized for features

The actual feed speed during machining is controlled by CNC, and CAM can only control the tool path and command feed speed, while CNC operators cannot intervene in the speed control process during machining, so the existing technology cannot adjust the machining speed for machining errors

[0009] Disadvantage 3: Multiple processing is required

Since the traditional online measurement or offline measurement method is only used to detect whether the contour error is within the accuracy requirement range, it is a post-processing inspection process. To obtain parts that meet the accuracy requirements, new workpieces need to be processed

Images