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Method for automatically recognizing hob failure form of numerical control gear hobbing machine

A technology of automatic identification and gear hobbing machine, applied in the direction of metal processing machinery parts, metal processing equipment, measuring/indicating equipment, etc., to reduce labor costs, reduce dependence on professional skills, and realize the effect of online real-time monitoring

Inactive Publication Date: 2019-02-26
CHONGQING UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, the purpose of the present invention is to provide a method for automatic recognition of the failure mode of the CNC gear hobbing machine hob to solve the shortcomings of manual detection of the hob

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  • Method for automatically recognizing hob failure form of numerical control gear hobbing machine
  • Method for automatically recognizing hob failure form of numerical control gear hobbing machine
  • Method for automatically recognizing hob failure form of numerical control gear hobbing machine

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Embodiment Construction

[0026] 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 examples.

[0027] In this embodiment, the method for automatic recognition of the failure mode of the hob of the CNC gear hobbing machine is characterized in that it includes the following steps:

[0028] Step 1, obtain the spindle vibration signal: at the same sampling frequency f s Next, the vibration simulation quantity of the main shaft during the gear hobbing process is collected in real time through the embedded vibration acceleration sensor. The embedded vibration acceleration sensor described in this embodiment is a bearing embedded at the end of the main shaft during the assembly and manufacturing process of the CNC gear hobbing machine. In the seat; then use the PLC controller of the CNC gear hobbing machine to perform A / D conversion processing on the vibration analog value to ...

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Abstract

The invention discloses a method for automatically recognizing the hob failure form of a numerical control gear hobbing machine. The method includes the following steps of firstly, collecting main shaft vibration signals through an embedded vibration acceleration sensor in real time; secondly, obtaining main shaft vibration signals of various hob failure forms corresponding to different hob technological parameters, establishing vibration path graph signals, extracting features to form standard feature vectors, and then establishing a standard feature vector subset and a standard feature vector set; thirdly, calculating the similarities of sample feature vectors and the standard feature vectors, obtaining the average similarity, and accordingly judging the hob failure form. By means of themethod, by establishing the vibration path graph signals, combining the processing of the main shaft vibration signals of the numerical control gear hobbing machine with the spectrum theory and conducting the feature extracting and failure form recognizing of the hobbing failure form, the on-line real-time monitoring of the hob failure form can be realized, the dependency on professional skills of operators is reduced, and labor cost is reduced.

Description

technical field [0001] The invention relates to the technical field of tool failure detection, in particular to a method for identifying the failure form of a hob of a numerically controlled gear hobbing machine. Background technique [0002] At present, the mass production of gears usually uses CNC gear hobbing machines for rough machining. As the core component of the CNC gear hobbing machine, the hob will gradually wear out with the increase of cutting time during the gear hobbing process. After the wear reaches a certain level, it will fail due to various reasons. If it is not prevented in time, the workpiece will be scrapped. If it is heavy, it will lead to the failure of the structural components of the machine tool. [0003] At present, the detection of the hob basically relies on the operator to manually observe the wear degree of the hob by regularly removing the hob, and the operator identifies the wear degree of the hob according to the shape characteristics of t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B23Q17/09
CPCB23Q17/0957B23Q17/0971
Inventor 李国龙董鑫何坤贾亚超
Owner CHONGQING UNIV
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