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A method for monitoring the state of machine tools

A technology of machine tools and cutting tools, applied in the direction of manufacturing tools, metal processing machinery parts, metal processing equipment, etc., can solve the problems of cutting processing influence and inability to monitor tool status, and achieve the effect of avoiding additional influence

Active Publication Date: 2021-11-19
BEIHANG UNIV +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The existing tool state monitoring methods cannot perform adaptive tool state monitoring according to different cutting conditions, and the measurement of force signals, vibration signals, and acoustic emission signals requires additional sensors and wiring in the machine tool processing environment, which will affect the Normal machining has a greater impact

Method used

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  • A method for monitoring the state of machine tools
  • A method for monitoring the state of machine tools
  • A method for monitoring the state of machine tools

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0084] Embodiment 1: M=1, that is, according to the current signal collected during the first cutting process of the machine tool, the upper and lower boundary curves of the current signal are obtained.

[0085] During specific implementation, when performing step S11 in the above-mentioned monitoring method provided by the present invention, when calculating the root mean square value of each segment current signal, the root mean square value I of each segment current signal can be calculated according to the following formula rms :

[0086]

[0087] Among them, I 1 ,I 2 ...I t is the data point of each current signal, and t is the number of data points.

[0088] In the specific implementation, when performing step S12 in the above-mentioned monitoring method provided by the present invention, according to the calculated root mean square value of each segment current signal, calculate the mean value sum of the N root mean square values ​​corresponding to each N segment ...

Embodiment 2

[0097] Embodiment 2: M>1, for example, M=5, that is, the upper and lower boundary curves of the current signal are obtained according to the current signals collected during the first five cutting processes of the machine tool.

[0098] During specific implementation, when performing step S11 in the above-mentioned monitoring method provided by the present invention, when calculating the root mean square value of each segment current signal, the root mean square value I of each segment current signal can be calculated according to the following formula rms :

[0099]

[0100] Among them, I 1 ,I 2 ...I t is the data point of each current signal, and t is the number of data points.

[0101] In the specific implementation, when performing step S12 in the above-mentioned monitoring method provided by the present invention, according to the calculated root mean square value of each segment current signal, calculate the mean value sum of the N root mean square values ​​corresp...

Embodiment 3

[0111] Embodiment 3: The workpiece material to be processed is Q235, the cutting depth ap=2mm, the cutting width ae=10mm, the rotating speed n=700rpm, and the feed rate f=100mm / min.

[0112] Figure 5 Six groups of upper and lower boundary curves are shown, which are respectively the upper and lower boundary curves of the current signal obtained according to the current signal collected during the first cutting process of the machine tool (such as Figure 5 The first group of curves shown), according to the current signal collected in the second cutting process of the machine tool to obtain the upper and lower boundary curves of the current signal (such as Figure 5 The second group of curves shown), according to the current signal collected in the third cutting process of the machine tool to obtain the upper and lower boundary curves of the current signal (such as Figure 5 The third group of curves shown), according to the current signal collected in the fourth cutting proc...

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Abstract

The invention discloses a monitoring method for the state of a machine tool tool. By processing the current signal of the machine tool spindle motor, the upper and lower boundary curves of the current signal during normal tool cutting are obtained through the probability distribution theory in statistics, and the upper and lower boundary curves are used as The standard for monitoring the current signal of the spindle motor. By identifying the slight changes in the current signal of the spindle motor to monitor the wear degree of the machine tool, the state of the tool can be effectively monitored. Moreover, the upper and lower boundary curves are obtained through self-learning during the machining process of the machine tool. Therefore, the above-mentioned monitoring method provided by the present invention has the advantage of adapting to various processing conditions. In addition, the above-mentioned monitoring method provided by the present invention monitors the state of the tool by measuring current signals instead of force signals, vibration signals and acoustic emission signals. Therefore , there is no need to set additional sensors and wiring in the machine tool processing environment, so as to avoid additional impact on normal cutting processing.

Description

technical field [0001] The invention relates to the technical field of mechanical manufacturing, in particular to a method for monitoring the state of a machine tool tool. Background technique [0002] Tool is an important part of CNC machine tool processing. The high temperature and cutting force generated during the processing make the tool wear or fracture an inevitable problem, which is also an important and common source of problems in CNC machine tool processing technology. During the processing, if the sharp wear or breakage of the tool cannot be detected in time and the machine tool stops working, it will lead to problems such as reduced machining accuracy, damage to the machine tool or workpiece, and additional economic losses. In order to avoid this loss as much as possible, it becomes an inevitable requirement to monitor the state of the tool during processing. [0003] At present, in the field of tool state monitoring, most domestic and foreign scholars obtain ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B23Q17/09
CPCB23Q17/0957B23Q17/0961
Inventor 马鹏举童赛赛廖志兵崔剑叶波宁勇苏庆怀万坤李海
Owner BEIHANG UNIV
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