Method for measuring wear of numerical control milling cutting tool based on shape copying

Abstract

The invention relates to a method for measuring wear of a numerical control milling cutting tool based on shape copying, and belongs to the field of wear measurement of numerical control milling cutting tools. The method comprises the following steps that: a workpiece material and a copying material are arranged on the same numerical control machine tool worktable; the initial shape of the cutting tool is copied on the copying material before experiment, namely a preset distance of the cutting tool is fed on the copying material along the axial direction of a main shaft of a machine tool, and the shape of the cutting tool is copied on the copying material; the copying material is a material which is easy to process and ignores the wear of the cutting tool; the processing material is processed according to a designed experiment proposal; at the same time, the shape of the worn cutting tool is copied on the copying material after the processing is finished each time; and all the wear geometrical element shapes of the cutting tool on the copying material are carried out mathematical processing and measurement after all the processing process is finished. The method introduces the shape copying into the wear measurement of the cutting tool, improves the utilization rate of the machine tool, and reduces the cost and time of the numerical control processing experiment. The wear measurement of the cutting tool is easily set, and the wear extent of the cutting tool can be obtained without needing stopping the machine tool.

Description

Technical field [0001] The invention relates to the problem of tool wear measurement in numerical control machining, in particular to a shape replication measurement method for tool wear in the numerical control machining process that can be obtained without stopping the machine tool. It is used in the field of tool wear measurement for CNC milling. Background technique [0002] In CNC milling, as the direct executor of the cutting process, the tool inevitably suffers from wear and damage during the cutting process of the workpiece. The change of the tool state directly leads to an increase in cutting force, an increase in cutting temperature, and damage to the surface of the workpiece. Increased roughness, out-of-tolerance workpiece dimensions, changes in chip color, and generation of cutting chatter. There are two aspects to the treatment of tool wear. On the one hand, if the tool wear is lower than the blunt standard, it will cause waste because the actual life of the to...

AI Technical Summary

Problems solved by technology

There are two aspects to the treatment of tool wear. On the one hand, if the tool wear is lower than the blunt standard, it will cause waste because the actual life of the tool is not fully utilized and increase manufacturing costs; on the other hand, if the tool wear If the tool is blunt or damaged, it will affect the surface quality and dimensional accuracy of the workpiece, and even damage the machine tool in severe cases

The key to solving these problems lies in the automatic and real-time detection of the tool wear state. Therefore, it is necessary to measure, model and control the tool wear in the CNC machining process. By measuring the tool wear, the tool wear model is established, and then the machining process is generated However, the existing method for tool wear measurement is to first conduct a CNC machining experiment of the tool, then remove the tool from the machine tool spindle, and then measure the tool wear on a tool microscope or measuring machine , and then install the tool on the machine tool spindle for the next NC machining experiment, and proceed in turn until the designed NC machining experiment is completed. This measurement method requires the machine tool to be stopped, the tool needs to be disassembled and installed multiple times, and multiple measurements are required. It affects the efficiency of the machine tool and increases the cost and time of the experiment

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