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A tool wear state identification method based on multi-feature fusion

A multi-feature fusion and tool wear technology, applied in manufacturing tools, metal processing equipment, measuring/indicating equipment, etc., can solve the problem of not being able to accurately reflect the tool wear state, suppress modal aliasing, and improve reliability. sexual effect

Active Publication Date: 2020-09-29
SOUTHWEST JIAOTONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At the same time, the current tool wear state monitoring technology has some defects, which cannot accurately reflect the wear state of the tool

Method used

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  • A tool wear state identification method based on multi-feature fusion
  • A tool wear state identification method based on multi-feature fusion
  • A tool wear state identification method based on multi-feature fusion

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Experimental program
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Embodiment Construction

[0019] The content of the present invention will be described in further detail below with reference to the accompanying drawings.

[0020] The current tool wear status monitoring technology has two main problems: one is that for non-stationary signals, the reliability of the features extracted by signal processing is not high; the other is that a large amount of sample data is required to ensure the recognition accuracy, which leads to low efficiency of tool wear status recognition . In order to improve the identification efficiency of tool wear status, a tool wear status identification method based on multi-feature fusion is proposed, such as figure 1 Shown.

[0021] (1) Set up a milling experiment platform to obtain the cutting force signal, acceleration vibration signal and tool wear status during the tool milling process.

[0022] In the milling process, tool wear will first cause changes in milling force. Therefore, using force signals as monitoring signals can reflect the cha...

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Abstract

The invention relates to a tool abrasion state identification method based on multi-feature fusion. A plurality of methods are utilized for extracting feature information of vibration acceleration signals and cutting force signals, optimization is conducted on a feature set based on singular value decomposition, and the tool abrasion state identification precision is improved. According to the tool abrasion state identification method, mainly, the cutting force signals and the vibration signals are fused for feature extraction, the feature set is optimized through the singular value decomposition method, then, the feature set is input into a least squares support vector machine tool abrasion state identification model optimized on the basis of the genetic algorithm for identification, andthe tool abrasion state is output. According to the tool abrasion state identification method based on multi-feature fusion, the cutting force signals and the vibration acceleration signals are fusedfor feature extraction to serve as input, and the tool abrasion state identification precision is improved.

Description

[0001] Technical field [0002] The invention relates to a tool wear status identification method based on multi-feature fusion, and belongs to the field of machining tools and detection. Background technique [0003] Machining manufacturing is an important part of manufacturing. In the mass manufacturing process, CNC machine tools are the key equipment in the manufacturing process. The core of the CNC machining process is to use tools to remove excess material from the workpiece to form a machined surface. Since the tool is directly involved in the machining process, the state of the tool is directly related to the quality of the workpiece and production efficiency, so ensuring the good state of the tool is the key to ensuring product quality and production efficiency. Approximately 20% of the downtime in the mass production process is caused by tool bluntness. The economic cost due to tool bluntness and replacement accounts for 5% to 10% of the entire production cost. Use effect...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B23Q17/09
CPCB23Q17/0957B23Q17/0966B23Q17/0971B23Q17/0995
Inventor 邹益胜卢昌宏石朝丁国富江磊张剑
Owner SOUTHWEST JIAOTONG UNIV