A Real-time Monitoring Method for Tool Breakage Based on Spindle Vibration Feature Fusion

Abstract

A real-time monitoring method for tool damage based on the fusion of spindle vibration features. Firstly, for the milling process, analyze the tool damage process, establish a cutting layer thickness calculation model considering tool eccentricity and damage, calculate the milling force, and analyze the time domain and frequency of the milling force. domain characteristics; carry out experimental testing and modal parameter identification on the tool tip-spindle head transfer function, calculate the vibration response of the spindle under the excitation of milling force, and analyze the time domain and frequency domain characteristics of the vibration response; integrate X The frequency domain amplitude of the spindle vibration displacement response in the direction and Y direction defines the tool damage characteristics; real-time data acquisition, dynamic extraction and splicing of the spindle vibration acceleration signal, calculates the tool damage feature value, and compares it with the threshold value to judge whether the tool is damaged in real time . The invention can realize fast and accurate cutter damage monitoring, and the implementation scheme is simple and effective.

Description

technical field [0001] The invention belongs to the technical field of intelligent cutting and processing, and in particular relates to a real-time monitoring method for tool damage based on spindle vibration feature fusion. Background technique [0002] Tool damage will directly affect the surface quality and dimensional accuracy of the workpiece, and in severe cases, it will cause damage to the machine tool. In the actual cutting process, whether the tool is damaged or not is judged by the experience of the workers, such as listening to the sound during the cutting process, feeling the vibration of the machine tool, visual observation when the machine is stopped, and so on. However, in a production line with one person and multiple machines and unattended, due to the lack of manual intervention, there will be untimely tool replacement and frequent tool changes. If the tool is not replaced in time, the quality of the parts will not meet the standard, and even waste product...

AI Technical Summary

Problems solved by technology

However, the data model uses data to fit the change law of the actual system, and lacks the process of obtaining the law through physical modeling. Therefore, there is a problem that a large amount of experimental data is required for training in the early stage.

Moreover, in actual processing, the process parameters are changeable and there are many kinds of materials, so it takes a lot of time and cost to accumulate data.

[0004] To sum up, the current direct monitoring method for tool damage needs to be shut down, which affects the processing efficiency; the indirect monitoring method cannot determine whether the change of cutting load is caused by tool damage, and lacks mechanism analysis, and needs to fit the law through a large amount of data

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