Twist drill abrasion monitoring method

A twist drill and wear state technology, which is applied in the direction of measuring/indicating equipment, metal processing machinery parts, metal processing equipment, etc., can solve the problems of excessive size deviation, fineness, and roughness of workpieces, achieve fast running speed, improve quality and High efficiency and high recognition effect

Inactive Publication Date: 2016-05-11
RES INST OF ZHEJIANG UNIV TAIZHOU
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Problems solved by technology

[0003] The purpose of the present invention is to solve the technical problem that the classification of the tool wear state by the

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  • Twist drill abrasion monitoring method
  • Twist drill abrasion monitoring method

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[0029] The present invention will be further described below in conjunction with the drawings and specific embodiments.

[0030] Such as figure 1 with 2 As shown, the method for monitoring twist drill wear of the present invention has the following steps:

[0031] (1) Set cutting parameters: set the speed of spindle motor 2 to n; when the spindle motor 2 rotates one circle, the feed amount of the feed motor is f;

[0032] (2) When the spindle motor 2 and the feed motor are working with the cutting parameters in step (1), collect the following four of the drill bits of the twist drill 3 under normal wear, excessive wear and chipping at a sampling frequency of 1kHz. Two parameters: the drilling force of the twist drill 3 bit, the torque of the twist drill 3 bit, the current of the spindle motor 2 and the current of the feed motor. The drilling force and torque of the twist drill 3 bit are determined by a quarter-force piezoelectric sensor Collection, the currents of the spindle motor ...

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Abstract

The invention discloses a twist drill abrasion monitoring method. Firstly, four parameters such as drilling force, torque, electric current of a spindle motor and electric current of a feed motor in the different abrasion states are collected under the same cutting parameter; the four parameters are subjected to wavelet packet decomposition to obtain energy spectrums of eight frequency bands; and the energy spectrums of the second frequency band, the third frequency band, the fourth frequency band and the fifth frequency band are used as characteristic values serving as conditional attributes, the three abrasion states of a drill bit of a twist drill are used as decision attributes, a decision table is established, and the characteristic values are used as input neurons of a BP neural network for training and learning. The abrasion state recognition of the twist drill is performed through the established BP neural network, and the recognition rate is high.

Description

technical field [0001] The invention relates to the technical field of intelligent monitoring of mechanical cutting tools, in particular to a twist drill wear monitoring method. Background technique [0002] In the automatic mechanical cutting production line, the wear of the twist drill of the drilling power head will affect the processing quality and production efficiency of the workpiece. In the existing tool wear monitoring device, the classification of the tool wear state is either too rough or too fine. When it is too rough, the tool is prone to failure due to wear, resulting in excessive size deviation of the processed workpiece or shutdown. In addition to the complexity of monitoring, the real-time performance is reduced, and there is a certain hysteresis in monitoring. The monitoring results are often inconsistent with the actual wear state of the tool, resulting in excessive wear of the tool, which in turn affects the machining accuracy of the workpiece. Contents...

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Application Information

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IPC IPC(8): B23Q17/09
CPCB23Q17/09B23Q17/0957
Inventor 武建伟罗维朗郑宣金丽丽凤迎迎
Owner RES INST OF ZHEJIANG UNIV TAIZHOU
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