Method for real-time monitoring of numerical control machining states of complicated structural components based on machining features

Abstract

The invention discloses a method for real-time monitoring of numerical control machining states of complicated structural components based on machining features. The method is characterized in that monitoring threshold values indicating whether the machining states are normal or not are established based on the machining features, and monitoring of the numerical control machining states is achieved according to the machining features; typical machining feature monitoring signals and a threshold value library are established through a cutting experiment, machining feature monitoring identifiers and machining feature monitoring threshold values in the matched threshold value library are added for numerical control machining programs before numerical control machining and serve as the basis for state monitoring in the machining process; for the machining features which do not exist in the threshold value library, machining feature samples are established in numerical control machining through real-time learning, and monitoring signals of new machining features arisen for the first time during machining serve as the basis for follow-up same-type machining feature state monitoring. The method can be not only suitable for monitoring of numerical control machining states during large-scale part production, can be also suitable for numerical control machining states during small-scale or even single part production and is wide in application range.

Description

technical field [0001] The invention relates to a data processing technology, in particular to a real-time monitoring technology of the processing state of a numerical control machine tool, specifically a method for real-time monitoring of the numerical control processing state of complex components based on processing characteristics. Background technique [0002] Various problems are often encountered in CNC machining of machine tools. Taking knives as an example, there are often situations such as bluntness, broken knives, and dropped knives. Once an abnormal situation occurs, the parts will have quality problems, which will not only reduce the surface quality, but may also cause the parts to be scrapped and increase the production cost of the product. The downtime for detecting the state of the machine tool accounts for 20%-30% of the total downtime of the machine tool. The cost and production cycle problems caused by parts scrapping in the single-piece and small-batch ...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to grasp the NC machining status of machine tools in real time, aiming at the problems of large monitoring and learning workload and poor adaptability of parts in the prior art, a real-time monitoring method for NC machining status of complex components based on processing characteristics is proposed

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