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A turning tool abnormal state self-adaptive intelligent monitoring system and method thereof

A technology for intelligent monitoring and abnormal status, applied in manufacturing tools, measuring/indicating equipment, metal processing machinery parts, etc., can solve problems such as low energy consumption and high monitoring convenience, reduce complexity, and reduce the difficulty of mastering and application by workers , the effect of compact structure

Active Publication Date: 2017-10-31
XIAMEN GOLDEN EGRET SPECIAL ALLOY
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AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to overcome the deficiencies of the prior art, to provide a turning tool abnormal state self-adaptive intelligent monitoring system and its method, so that in the turning process, the turning tool can be real-time, accurate and effective self-adaptive intelligent monitoring, It can effectively prevent the occurrence of problems such as low workpiece machining accuracy, large surface roughness, and damage to the machine tool system and tool system caused by tool failure; not only has good adaptability to the processing environment (suitable for most machine tools), It also has the characteristics of low energy consumption and high monitoring convenience.

Method used

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  • A turning tool abnormal state self-adaptive intelligent monitoring system and method thereof

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Embodiment

[0030] see figure 1 As shown, a kind of turning tool abnormal state adaptive intelligent monitoring system of the present invention comprises:

[0031] A low-temperature end thermoelectric sensor 1 installed at the turning tool body 10 directly below the turning insert 11;

[0032] A thermoelectric sensor 2 at the high temperature end installed on the flank of the turning insert 11 close to the cutting area;

[0033] A vibration sensor 12 installed on the overhang of the turning tool body 10 on the same plane as the turning insert 11;

[0034] A current collection and voltage controller 3, which is used to collect current signals and supply power to the components of the system; the current collection and voltage controller 3 includes a transformer, a voltage stabilizer, etc.;

[0035] A vibration signal analysis and collector 4, used for collecting and analyzing vibration signals;

[0036] A signal transcoder 5, which is used to analyze and convert the input signal into an...

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Abstract

The invention discloses a self-adaption intelligent system for monitoring abnormal conditions of turning tool and a method thereof; thermoelectric current is generated through a temperature difference between a blade participation cutting area and the bottom of a tool body in the cutting process; electricity is supplied to other vibration testing devices by dint of the current acquisition and a voltage controller; and finally, vibration features in the cutting process are transferred to such electronic equipment as mobile phones, computers or PDA of a visible monitoring platform through WIFI signals to achieve the purpose of real-time monitoring of a turning tool working condition through wireless connection. The system and the method can realize self-power supply in the cutting process and automatic report of the tool working condition, that is, the self-adaption intelligent monitoring function is realized.

Description

technical field [0001] The invention relates to the technical field of turning tool monitoring, in particular to a turning tool abnormal state self-adaptive intelligent monitoring system and method thereof. Background technique [0002] In the metal cutting process, the failure modes such as tool wear, edge chipping and brittle fracture seriously restrict the improvement of workpiece production efficiency. During the production process, real-time monitoring of the working status of the tool can not only effectively ensure the machining accuracy and surface roughness of the workpiece, but also effectively prevent the cutting tool body and machine tool system from excessive mechanical or temperature loads caused by tool failure. the damage caused. [0003] At present, the monitoring of tools in the cutting process can be divided into indirect monitoring technology and direct monitoring technology. [0004] The indirect monitoring technology is mainly a technology that uses s...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B23Q17/09
CPCB23Q17/0952
Inventor 何耿煌张冰冰李东进邹伶俐
Owner XIAMEN GOLDEN EGRET SPECIAL ALLOY
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