Intelligent cutter capable of monitoring abrasion state of cutter

Abstract

The invention discloses an intelligent cutter for monitoring the abrasion state of the cutter. Comprising a cutter body, a cutter handle, a time counter chip, a current sensor and a mobile phone app, the time counter chip is arranged in the cutter handle, the current sensor is electrically connected with a controller of the numerical control machine tool, the sensor and the chip transmit collected data to a cutter abrasion prediction algorithm model on the mobile phone app to be processed, and the relation between cutting time and the cutter abrasion state is analyzed. And different periods of cutter wear can be visually displayed on a numerical control machine tool and mobile phone software. The method has the advantages that by monitoring the cutting process of the cutter in real time, the abrasion state of the cutter is visualized, the cutter is effectively protected, and a cutter user can use the cutter safely and trustingly. And the traditional cutter industry can be promoted to develop towards the directions of networking, intelligence and datamation.

Description

Technical field:

[0001] The present invention relates to the technical field of intelligent tool design, and in particular to an intelligent tool for monitoring tool wear. Background technology:

[0002] The purpose of the present invention is to address the deficiencies of the prior art and thus provide an intelligent tool which has a scientific design, a reasonable structure, is convenient to monitor and can detect the wear status of the tool in real time.

[0003] As mentioned above, the wear of the tool tip cannot be discovered in time, resulting in the scrapping of the processed parts. In serious cases, the tool bar, tool holder and machine tool will also be damaged to varying degrees. Especially in batch production of parts, the above problems cause the cost of parts production and processing to be very high, and the production process of parts cannot be effectively controlled. Summary of the invention:

[0004] The purpose of the present invention is to address the deficiencies of the prior art and thus provide an intelligent tool which has a scientific design, a reasonable structure, is convenient to monitor and can detect the wear status of the tool in real time.

[0005] The present invention is achieved through the following technical solutions:

[0006] The present invention is an intelligent tool for monitoring tool wear, including a tool body, a tool handle, a time counter chip, and a current sensor. The tool handle is provided with a time counter chip. The current sensor is electrically connected to a controller of a numerical control machine tool and is used to collect the current signal of the machine tool spindle in real time.

[0007] Furthermore, the current sensor is electrically connected to a current signal receiving box, which is used to receive an analog signal sent by the current sensor and perform conversion and filtering to convert the analog signal into a digital signal.

[0008] Furthermore, the current signal receiving box includes a signal conversion module, a communication module, and a signal processing module. The signal processing module is used to receive and process the information sent by the signal conversion module and the communication module, obtain the effective cutting time T0 of the current tool, and send the above information to the mobile phone APP.

[0009] Furthermore, the time counter chip can sense the rotation of the tool handle, thereby starting timing and obtaining the total cutting time T.

[0010] Furthermore, the total cutting time T is obtained through a timer chip. Specifically, when the machine tool spindle starts working, the time counter starts timing, and when the machine tool spindle stops working, the time counter ends timing and records the total working time of the machine tool spindle, which is the total cutting time T of the current tool.

[0011] Furthermore, the effective cutting time T0 is obtained by the current signal in conjunction with the second timer in the signal processing module. Specifically, a current threshold is set first. In the current processing task, when the current signal exceeds the set threshold, the tool is considered to be in a cutting state, and the second timer starts timing; otherwise, the tool is considered to be in a non-cutting state (such as feeding, idling, retracting, etc.), and the second timer stops timing. The total time that the current signal exceeds the current threshold is recorded, which is the effective cutting time T0 of the current tool.

[0012] Furthermore, the measured data is uploaded to the tool wear prediction algorithm model in the mobile phone APP, and the cutting parameters, tool parameters, and material parameters are selected in the APP.

[0013] Furthermore, the tool wear prediction algorithm model can predict the current actual wear degree V of the tool. t , thereby detecting the usage status of the tool.

[0014] Furthermore, the tool wear degree is expressed as V t1 and V t2 Divided into three areas, if the actual wear degree of the tool V t ≤V t1 , the tool wear indicator in the mobile phone APP will turn green, indicating that the tool wear is in good condition. If the actual wear degree of the tool is V t1 ≤V t ≤V t2 , the tool wear indicator in the mobile phone APP will turn yellow, indicating that the tool wear status is normal. If the actual wear degree of the tool is V t ≥V t2 , the tool wear indicator in the mobile phone APP will turn red and an alarm will sound, prompting you to replace the tool. Description of the drawings:

[0015] Figure 1 is a schematic diagram of a system for monitoring tool wear status according to the present invention;

[0016] Figure 2 It is a system flow chart of the present invention for monitoring the state of tool wear. Specific implementation method:

[0017] The present invention is further described in detail below with reference to the accompanying drawings.

[0018] like Figure 1As shown, the present invention is an intelligent tool for monitoring the state of tool wear. It comprises a tool body (1), a tool handle (2), a time counter chip (3), a current sensor (4), and a mobile phone app (5). The tool handle (2) is provided with a time counter chip (3), and the current sensor (4) is electrically connected to the controller of a numerical control machine tool and is used to collect the current signal of the main shaft of the machine tool in real time.

[0019] The current sensor (4) is electrically connected to the current signal receiving box and is used for receiving the analog signal sent by the current sensor and performing conversion and filtering to convert the analog signal into a digital signal.

[0020] The current signal receiving box comprises a signal conversion module, a communication module and a signal processing module. The signal processing module is used to receive and process the information sent by the signal conversion module and the communication module, obtain the effective cutting time T0 of the current tool, and send the above information to a mobile phone APP (5).

[0021] The total cutting time T of the tool is obtained through the time timer chip. Specifically: when the machine tool spindle starts working, the time counter starts timing, and when the machine tool spindle stops working, the time counter ends timing and records the total working time of the machine tool spindle, which is the total cutting time T of the current tool.

[0022] The effective cutting time T0 is obtained by combining the current signal with the second timer in the signal processing module. Specifically: first, a current threshold is set. In the current processing task, when the current signal exceeds the set threshold, it can be considered that the tool is in a cutting state, and the second timer starts timing; otherwise, the tool is considered to be in a non-cutting state (such as feeding, idling, retracting, etc.), and the second timer stops timing. The total time that the current signal exceeds the current threshold is recorded, which is the effective cutting time T0 of the current tool. The measured data is uploaded to the tool wear prediction algorithm model in the mobile phone APP (5), and the cutting parameters, tool parameters, and material parameters are selected in the APP. The tool wear prediction algorithm model can predict the current actual wear degree V of the tool. t , thereby detecting the usage status of the tool.

[0023] Tool wear degree is expressed in V t1 and V t2 Divided into three areas, if the actual wear degree of the tool V t ≤V t1 , the tool wear indicator in the mobile phone APP will turn green, indicating that the tool wear is in good condition. If the actual wear degree of the tool is V t1 ≤V t ≤V t2 , the tool wear indicator in the mobile phone APP will turn yellow, indicating that the tool wear status is normal. If the actual wear degree of the tool is Vt ≥V t2 , the tool wear indicator in the mobile phone APP will turn red and an alarm will sound, prompting you to replace the tool.

Claims

1. An intelligent tool for monitoring tool wear, comprising a tool body, a tool handle, a timer chip, a current sensor, and a mobile phone app, characterized in that: A time counter chip is arranged in the knife handle.

2. The intelligent tool for monitoring tool wear according to claim 1, characterized in that: The current sensor is electrically connected to the controller of the CNC machine tool and is used for collecting the current signal of the main shaft of the machine tool in real time.

3. The intelligent tool for monitoring tool wear according to claim 2, characterized in that: The current sensor transmits the analog signal to the current signal receiving box for conversion and filtering, converts the analog signal into a digital signal, transmits it to the mobile phone app, and obtains the current tool status information through the tool wear prediction algorithm model.

4. The intelligent tool for monitoring tool wear according to claim 3, characterized in that: The current signal receiving box includes a signal conversion module, a communication module, and a signal processing module.

5. The intelligent tool for monitoring tool wear according to claim 1, characterized in that: The time counter chip transmits the collected data to the mobile phone app via Bluetooth for processing.

6. The intelligent tool for monitoring tool wear according to claim 3, characterized in that: The tool wear prediction algorithm model is used to determine the current wear state of the tool.

7. The intelligent tool for monitoring tool wear according to claim 3, characterized in that: The current signal receiving box performs wireless transmission with the mobile phone in the form of Bluetooth.

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