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A data-based monitoring method for milling tool wear

A milling tool and data technology, which is applied in the direction of manufacturing tools, measuring/indicating equipment, metal processing equipment, etc., can solve the problems of high cost, complex data calculation, unfavorable promotion and use, etc., to achieve cost saving, simple and easy to implement algorithms, and easy Achieved effect

Active Publication Date: 2018-04-24
HUAZHONG UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, there are still some deficiencies, such as the need to obtain some acoustic emission signals that are inconvenient to detect, etc., the sensor layout is troublesome, the data calculation is complicated, and the cost is high, which is not conducive to popularization and use.

Method used

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  • A data-based monitoring method for milling tool wear
  • A data-based monitoring method for milling tool wear
  • A data-based monitoring method for milling tool wear

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Embodiment Construction

[0023] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0024] see figure 1 , the data-based milling tool wear monitoring method provided by the preferred embodiment of the present invention, the milling tool wear monitoring method can greatly improve the reliability and production efficiency of processing equipment, fully explore the value chain of intelligent manufacturing big data, and provide future Intelligent manufacturing provides support. T...

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Abstract

The invention belongs to the technical field relevant to tool abrasion detection and discloses a milling tool abrasion monitoring method based on data. The method comprises the following steps that (1) a three-phase output current signal of a spindle driving motor of a numerically-controlled machine tool during working of a milling tool is collected; (2) the collected three-phase output current signal is cleaned; (3) a characteristic coefficient representing milling tool abrasion is extracted from the cleaned three-phase output current signal through a compressed sensing method and the key point theory; and (4) a characteristic signal index is computed online according to the three-phase output current signal, collected in real time, of the spindle driving motor when a certain milling tool works normally, and thus milling tool abrasion is subjected to real-time online monitoring. Through the provided milling tool abrasion monitoring method based on the data, the cost is lowered, and real-time monitoring of milling tool abrasion is achieved.

Description

technical field [0001] The invention belongs to the technical field related to tool wear detection, and more specifically relates to a data-based milling tool wear monitoring method. Background technique [0002] At present, with the development of computer and automation technology, the field of mechanical processing is developing towards the direction of intelligent manufacturing. The most basic requirement of the manufacturing and processing system is that the processing system can automatically and effectively monitor and adjust the faults that occur during the production and processing process. The wear of the basic element tool in the machining process will cause the vibration of the machine tool, the decrease of the surface quality of the workpiece and the accuracy of the machining dimension. Therefore, the research on the feature extraction of tool wear is of great significance for the monitoring of tool conditions. [0003] Over the past few decades, machining cond...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B23Q17/09
CPCB23Q17/0957
Inventor 袁烨张海涛丁汉
Owner HUAZHONG UNIV OF SCI & TECH
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