A method and device for intelligent evaluation of tool wear state

A tool wear and tool technology, which is applied in the field of intelligent evaluation of tool wear state, can solve the problems of few types of characteristic parameters and influence prediction accuracy, and achieve the effect of reasonable selection of features, accurate prediction effect and small influence of the model.

Active Publication Date: 2022-07-15
SHANGHAI JIAO TONG UNIV +1
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Problems solved by technology

[0005] The above-mentioned patents have the following problems: the type of characteristic parameters selected for model training is less, which affects the prediction accuracy

Method used

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  • A method and device for intelligent evaluation of tool wear state
  • A method and device for intelligent evaluation of tool wear state

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Embodiment Construction

[0043] The embodiments of the present invention are described in detail below. This embodiment is implemented on the premise of the technical solution of the present invention, and provides a detailed implementation manner and a specific operation process, but the protection scope of the present invention is not limited to the following implementation. example.

[0044] like figure 1 Shown is a flow chart of a method for intelligently evaluating a tool wear state according to an embodiment of the present invention.

[0045] Please refer to figure 1 , the tool wear state intelligent evaluation method of this embodiment includes:

[0046] S11: Collect the signal data during tool processing, including: the vibration signal of the spindle and the power signal of the spindle;

[0047] S12: Preprocess the signal data collected by S11;

[0048] S13: perform feature extraction on the data preprocessed in S12;

[0049] S14: Select the features extracted by S13;

[0050] S15: Use ...

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Abstract

The invention discloses an intelligent evaluation method and device for tool wear state. The method includes: collecting signal data during tool processing, including: a vibration signal of a spindle and a power signal of the spindle; preprocessing the collected signal data; Perform feature extraction on the preprocessed data; select the extracted features; use the selected features and wear data for model training to obtain a tool recognition model and tool feature types; input the selected feature quantities into the model obtained by training, and output The wear state of the tool. The device includes: a signal acquisition module, a preprocessing module, a feature extraction module, a feature selection module and a pattern recognition module. Through the invention, the monitoring is accurate, the tool utilization rate can be improved, the tool maintenance time can be reduced, the qualified rate of the processed workpiece can be improved, and the production and processing cost can be effectively reduced.

Description

technical field [0001] The invention relates to the technical field of tool wear detection, in particular to an intelligent evaluation method and device for tool wear state. Background technique [0002] The tool is most prone to wear and failure in the CNC machining system, and the state of the tool has a very important influence on the machining process. If the tool wear is serious, it is necessary to stop the tool to replace the tool, and the tool debris will accelerate the tool wear, thus affecting the surface integrity of the tool. Tool wear can lead to unqualified workpiece dimensions, and thus the machining quality of the workpiece surface will be affected. Unqualified machining dimensions will lead to rework or even direct scrapping of the workpiece; the deterioration of surface quality will reduce the fatigue life of parts and reduce the reliability of parts, so tool wear will not only reduce production efficiency, but also increase production costs. [0003] The ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B23Q17/09
CPCB23Q17/0957
Inventor 齐子威许黎明邢诺贝刘福军周超
Owner SHANGHAI JIAO TONG UNIV
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