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Tool abrasion state identification method based on multi-feature fusion

A technology of multi-feature fusion and tool wear, which is applied in the direction of manufacturing tools, metal processing machinery parts, measuring/indicating equipment, etc., can solve the problem of inaccurately reflecting the state of tool wear, so as to avoid incomplete reflection of information and rapid attenuation , the effect of improving the recognition efficiency

Active Publication Date: 2019-08-23
SOUTHWEST JIAOTONG UNIV
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  • 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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  • Tool abrasion state identification method based on multi-feature fusion
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  • Tool abrasion state identification method based on multi-feature fusion

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Embodiment Construction

[0026] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Apparently, the described embodiments are some, not all, embodiments of the present invention.

[0027] Therefore, the following detailed description of the embodiments of the present invention is not intended to limit the scope of the claimed invention, but merely represents some embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0028] It should be noted that, in the case of no conflict, the embodiments of the present invention and the features and technical solutions in the embodiments can be combined...

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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

technical field [0001] The invention relates to a tool wear state identification method based on multi-feature fusion, which belongs to the field of machining tool and detection. Background technique [0002] Machining and manufacturing is an important part of the manufacturing industry. In the process of batch manufacturing, CNC machine tools are the key equipment in the manufacturing process. The core of the CNC machine tool machining process is to use the tool to remove excess material from the machined 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 condition of the tool is the key to ensuring product quality and production efficiency. In the mass production process, about 20% of the downtime is caused by tool bluntness, and the economic cost caused by tool bluntness and replacement accounts for 5% ...

Claims

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Application Information

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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
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