Method and system for predicting residual lives of tools in online manner

Abstract

The invention provides a method and a system for predicting the residual lives of tools in an online manner. The method includes inputting tool and machining information into a tool management systemand acquiring acoustic emission and power signals in real time; building SVR (support vector regression) models for the same types of tools in tool databases, establishing relations between signal characteristics and abrasion loss and setting thresholds. The acoustic emission and power signals of each machining time point are processed during machining, a series of characteristics are extracted, autoregressive integral moving average models are built, predicted values of the signal characteristics can be obtained and then are converted into the abrasion loss by the aid of the SVR models, the abrasion loss is compared to the thresholds, and accordingly the residual lives of the tools at current moments can be computed. The system comprises the tool management system, an acoustic emission and power signal monitoring system, a metal two-dimensional code printing system and two-dimensional code scanning equipment. The method and the system have the advantages that tool residual life prediction accuracy and real-time performance can be improved, the tool utilization rate can be increased, and the production cost can be reduced.

Description

technical field [0001] The invention relates to the field of machining tools, in particular to a method and system for online prediction of tool remaining life. Background technique [0002] With the introduction of the concept of "intelligent manufacturing" and the rapid development of digital and information-based manufacturing technologies, the use of various digital machine tools has become more common. As a part of the entire processing system that directly contacts the workpiece, the tool's processing life determines the entire manufacturing process. Therefore, the monitoring of the processing status and the prediction of the processing life are becoming more and more important. With the help of the tool management system, the tool can be monitored throughout its life cycle, which plays an important role in the effective use and rational allocation of the tool, and can further improve the processing quality and production efficiency, and reduce production costs. Throu...

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Problems solved by technology

[0004] (1) The model in this article is suitable for long-term sequences, and the length of the time series (the number of tool passes) in this article reaches more than 300, which is not suitable for processing types with shorter processing time sequences;

[0005] (2) The tool damage experiment was carried out in this paper, but in the high-value workpiece processing site, in order to ensure

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