Intelligent speed planning method based on mass single workpiece repeated processing

Abstract

The invention provides an intelligent speed planning method based on mass single workpiece repeated processing. The method comprises the following steps: S1) machine tool machining; S2) multi-sensor signal acquisition; S3) feature extraction and signal fusion; S4) cutting state judgment: importing samples from a sample library, comparing the samples and the extracted feature signals, if normal, entering the next step, and if having heavy cutting or light cutting, carrying out velocity correction and entering the next step; S5) after finishing single processing, obtaining planning speed; and S6) repeating the steps S1)-S5) to obtain an optimal planning speed. The beneficial effects are that machining efficiency and machining accuracy are improved.

Description

technical field [0001] The invention relates to an intelligent speed planning method of a machine tool, in particular to an intelligent speed planning method based on repeated machining of a large batch of single pieces. Background technique [0002] With the continuous improvement of society's requirements for product efficiency and precision, the improvement of machining accuracy and machining efficiency is an urgent demand for CNC machine tools. [0003] Due to the limitation of the mechanical characteristics of the machine tool itself, the feed speed of the machine tool cannot exceed the limit of the machine tool, otherwise it will cause damage to the machine tool. The acceleration of the feed axis of the machine tool should not be too large, otherwise it will cause vibration of the machine tool, resulting in instability of the machine tool and affecting the machining accuracy. In order to make the speed curve of the machine tool softer, it is necessary to plan the spee...

AI Technical Summary

Problems solved by technology

[0009] 1) The traditional speed planning is only based on the geometric characteristics of the trajectory and the theoretical performance indicators of the machine tool, without considering the actual state of the machine tool, such as spindle tool load, tool wear or damage, workpiece deformation, machine tool vibration, etc.

These factors will generate vibration, affect the machining accuracy of the workpiece, and seriously cause damage to the tool and the mechanical structure of the machine tool

[0010] 2) For the repeated processing of a large number of single workpieces, the adaptive feed control system CNC machine tool re-uses the adaptive feed control to obtain the planned speed for each processing, lacks the learning function, and has low efficiency

[0011] When processing workpieces, although the adaptive control system CNC machine tool can offset the interference to a certain extent and improve the cutting performance of the machine tool, the processing progress and processing efficiency of the workpiece are within the allowable range, but the obtained planning speed is not optimal.

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