TW202039143A - Wear detection method for cutting tool and cutting processing device - Google Patents

Abstract

This method for detecting wear of a cutting tool (7) for cutting a workpiece (W) comprises: a step for converting, into frequency waveform data, time waveform data of a monitoring signal output from a sensor (15) that detects a vibration of the cutting tool (7) during cutting processing of the workpiece (W); a step for obtaining, from the frequency waveform data, processing resistance during cutting processing of the workpiece (W); and a step for detecting wear of the cutting tool on the basis of the processing resistance.

Description

Wear detection method of cutting tool and cutting processing device

The invention relates to a method and a cutting processing device for detecting the wear of a cutting tool used for cutting processing.

In tools used for cutting, such as end mills or drills, the amount of wear of the tool will affect the cutting state. For example, Japanese Patent Laid-Open No. 9-85587 (Patent Document 1) discloses a detector for detecting the wear of a tool. The detector includes: a magnetic strain layer, which is arranged on the carcass of the end mill; and a coil, which is arranged on the support. [Prior Art Literature] [Patent Literature]

Patent Document 1: Japanese Patent Laid-Open No. 9-85587

[The problem to be solved by the invention] According to Japanese Patent Laid-Open No. 9-85587, a sensor (wear detector) is attached to the cutting tool. Therefore, the wear detector has a complicated structure and is expensive. For example, consider using a machining center to perform machining while changing tools. However, a magnetic strain layer must be formed for each tool. Furthermore, whenever the cutting tool is replaced, the sensor must be reset or the sensitivity of the sensor must be adjusted.

The object of the present invention is to detect tool wear during cutting with a simple and inexpensive structure. [Technical means to solve the problem]

In an example of the present disclosure, a method for detecting wear of a cutting tool detects the wear of a cutting tool used for cutting an object to be cut. The method for detecting wear of a cutting tool includes the following steps: monitoring output from a sensor The time waveform data of the signal is converted into frequency waveform data, and the sensor is set near the fixed position of the workpiece to detect the vibration of the cutting tool during the cutting of the workpiece; find out based on the frequency waveform data The machining resistance in the cutting of the workpiece; and detecting the wear of the cutting tool based on the machining resistance.

According to the above, the machining resistance in the cutting of the workpiece is detected based on the signal of the sensor, and the wear of the cutting tool is detected based on the detected machining resistance. The wear of the tool during cutting can be detected based on the machining resistance. Therefore, a simple and inexpensive structure can be used to detect tool wear during cutting.

Preferably, the step of detecting wear includes the following steps: judging whether the machining resistance is less than a reference value; and detecting wear when the machining resistance exceeds the reference value.

According to the above, the wear of the tool can be detected based on the machining resistance. Furthermore, by judging whether the machining resistance is less than the reference value, the wear of the tool can be stably detected regardless of the individual difference of the tool.

Preferably, the reference value is a value having a correlation with the surface roughness of the workpiece. According to the foregoing, cutting can be performed so that the range of the surface roughness of the workpiece is within an appropriate range. Furthermore, the tool can be used until the tool becomes a predetermined wear state (a state where the surface roughness deviates from the above range), so the life of the tool can be extended.

Preferably, the method for detecting wear of a cutting tool further includes the following step: selecting a reference value from a plurality of reference values according to the material of the workpiece and the type of the cutting tool.

According to the above, the reference value of the machining resistance can be set to an appropriate value corresponding to the workpiece and the tool. Thereby, the quality of processing can be stabilized.

In an example of the present disclosure, the cutting processing device includes: a chuck, which clamps the cutting tool and drives it to rotate; a fixed part, which fixes the object to be cut; and a carrier, which makes the fixed part along the axis of rotation of the chuck roughly The orthogonal direction moves at the processing speed; the sensor is set near the fixed position of the workpiece in the fixed part to detect the vibration of the cutting tool during the cutting of the workpiece and output monitoring signals; and control The circuit converts the time waveform data of the monitoring signal into frequency waveform data, and calculates the machining resistance of the cutting object according to the frequency waveform data, and the control circuit detects the wear of the cutting tool based on the machining resistance.

According to the foregoing, a simple and inexpensive structure can be used to detect tool wear during cutting.

Preferably, the sensor is arranged in such a way that the detection direction is consistent with the direction that generates the maximum processing resistance.

According to the above, the sensor can extract the vibration component caused by the machining resistance, and therefore can detect the vibration generated during the cutting of the workpiece with high sensitivity and stability.

Preferably, the control circuit determines whether the machining resistance is less than the reference value, and when the machining resistance exceeds the reference value, wear is detected.

According to the above, the wear of the tool can be detected based on the machining resistance. Furthermore, by judging whether the machining resistance is less than the reference value, the wear of the tool can be stably detected regardless of the individual difference of the tool.

Preferably, the reference value is a value having a correlation with the surface roughness of the workpiece. According to the above, cutting can be performed so that the range of the surface roughness of the workpiece is within an appropriate range. Furthermore, the tool can be used until the tool becomes a predetermined wear state (a state where the surface roughness deviates from the above range), so the life of the tool can be extended.

Preferably, the control circuit memorizes multiple reference values corresponding to the material of the workpiece and the type of cutting tool, and selects the reference value to be compared with the machining resistance from the multiple reference values.

According to the above, the reference value of the machining resistance can be set to an appropriate value corresponding to the workpiece and the tool. Thereby, the quality of processing can be stabilized. [Effects of Invention]

According to an example of the present disclosure, a simple and inexpensive structure can be used to detect tool wear during cutting.

1 Application examples First, an example of a scene to which the present invention is applied will be explained using FIG. 1. FIG. 1 is a diagram schematically illustrating an example of an application scene of the cutting processing apparatus 1 of this embodiment. The cutting device 1 of the present embodiment detects the vibration of the cutting tool during the cutting of the workpiece W. Based on the detected vibration, the cutting device 1 obtains the machining resistance in the cutting of the workpiece. The cutting processing device 1 detects the wear of the cutting tool based on the processing resistance.

As shown in Figure 1, the cutting processing device 1 includes a device body 2, a stage 3, a fixing jig 4, a spindle support 5, a chuck 6, a cutting tool 7, a spindle motor 8, an X-axis feed mechanism 9, Y Axis feeding mechanism 10, Z-axis feeding mechanism 11, sensor 15 and control device 20. The cutting tool 7 is used to cut the workpiece W. The chuck head 6 clamps the cutting tool 7 and rotates it. The Z-axis feed mechanism 11 moves the chuck head 6 in the direction of the rotation axis 6A of the chuck head 6, that is, the Z-axis direction. The fixing jig 4 is used to fix the workpiece W, and is an example of the "fixing part" in the present invention. The stage 3 is a stage that moves the fixed jig 4 at a processing speed in a direction (X-axis direction or Y-axis direction) substantially orthogonal to the rotation axis 6A of the chuck head 6.

The sensor 15 is provided in the vicinity of the fixed position of the workpiece W of the fixed part. The sensor 15 detects the vibration of the cutting tool 7 during the cutting of the workpiece W and outputs a monitoring signal. The sensor 15 is a sensor that detects vibration, for example, an acceleration sensor. The sensor 15 is installed in such a way that the detection direction coincides with the direction that generates the maximum processing resistance.

The control device 20 is an example of the "control circuit" in the present invention. It converts the time waveform data of the monitoring signal from the sensor 15 into frequency waveform data, and detects the cutting process of the workpiece W based on the frequency waveform data. Processing resistance. Then, the control device 20 detects the wear of the cutting tool 7 based on the machining resistance.

According to this embodiment, the sensor 15 is provided in the vicinity of the fixed position of the workpiece W of the fixed portion. Therefore, during the cutting of the workpiece, the sensor 15 can avoid the influence of the vibration of the spindle and the spindle motor 8 and only detect signals related to the impact of the cutting tool 7. Furthermore, the sensor 15 is installed in such a way that the detection direction coincides with the direction in which the maximum machining resistance is generated. Thereby, the sensor 15 can extract only the vibration component caused by the machining resistance, and therefore can detect the vibration generated during the cutting of the workpiece W with high sensitivity and stability.

In this embodiment, the control device 20 converts the time waveform data of the monitoring signal output from the sensor 15 into frequency waveform data. The control device 20 detects the machining resistance in the cutting of the workpiece based on the frequency waveform data, and detects the wear of the cutting tool 7 based on the detected machining resistance. Since the cutting tool 7 is separated from the sensor 15, the cutting tool 7 can be replaced independently. Therefore, a simple and inexpensive structure can be used to detect tool wear during cutting. Furthermore, the influence on the sensitivity of the sensor 15 when the cutting tool 7 is replaced can also be reduced.

2 Structure example The apparatus main body 2 is realized by, for example, a machining center. The X-axis feed mechanism 9, the Y-axis feed mechanism 10, and the Z-axis feed mechanism 11 include, for example, a motor and a ball screw connected to the motor. The stage 3 is supported by the apparatus body 2 and can be moved in the X direction (left-right direction) by the X-axis feed mechanism 9 and can be moved in the Y direction (depth direction) by the Y-axis feed mechanism 10. In other words, the stage 3 may be an XY stage that can move in the two-dimensional direction. The fixing jig 4 is attached to the stage 3, and the workpiece (also referred to as a workpiece) W is fixed to the fixing jig 4.

The cutting tool 7 is arranged above the fixed jig 4. The cutting tool 7 is, for example, an end mill and has a plurality of cutting edges. The shaft portion of the cutting tool 7 is detachably held by the chuck head 6.

The chuck head 6 is rotated and driven by the spindle motor 8 integrally with the cutting tool 7. The spindle motor 8 is supported by the spindle support part 5. Although not shown, for example, a rail mechanism is attached to the device main body 2, and the spindle support portion 5 is supported by the rail mechanism to thereby support the device main body 2. Furthermore, the spindle support part 5 can be moved by the Z-axis feed mechanism 11 in the Z direction (up and down direction) with respect to the apparatus main body 2, that is, in the direction along the axis of the cutting tool 7.

The sensor 15 is attached to the fixed jig 4 and detects vibrations generated during the cutting of the workpiece W. The sensor 15 is realized by, for example, an acceleration sensor. In the present embodiment, the sensor 15 is provided so that the direction of the sensitivity of the sensor 15, that is, the direction of the sensitivity axis coincides with the direction in which the maximum machining resistance is generated. Therefore, the sensor 15 can detect the vibration in the direction that generates the greatest machining resistance with high sensitivity. Depending on the shape of the cutting tool, the direction of maximum machining resistance may be different. For example, when the cutting tool 7 has the shape shown in FIG. 3 (described later), the direction in which the maximum machining resistance is generated may be the direction of the rotation axis 6A (that is, the Z axis).

The control device 20 receives the monitoring signal output from the sensor 15 to detect the machining resistance. The control device 20 further controls the processing speed of the workpiece W based on the detected processing resistance. The processing speed is equal to the speed at which the workpiece W is moved. For example, the workpiece W moves in the primary direction (X-axis direction or Y-axis direction). The control device 20 controls the feed rate of the workpiece W in the X-axis direction. The control device 20 may also control the feed rate of the workpiece W in the Y-axis direction. The control device 20 may include, for example, a central processing unit (Central Processing Unit, CPU), a random access memory (Random Access Memory, RAM), a read-only memory (Read Only Memory, ROM), etc., and execute various components according to information processing. Control of components.

FIG. 2 is a diagram illustrating the cutting tool 7. As shown in FIG. 2, the cutting tool 7 includes a shaft portion 41 and, for example, two (but not limited to two) cutting edges 40 formed in a spiral wing shape at the lower portion of the shaft portion 41.

FIG. 3 is a block diagram showing the structure of the control device 20. The structure shown in Figure 3 can be implemented by hardware, software, or both. As shown in FIG. 3, the control device 20 includes a sampling unit 21, a data conversion unit 22, a filter unit 23, a processing resistance calculation unit 24, a processing control unit 25, and a wear detection unit 26.

The sampling unit 21 samples the monitoring signal from the sensor 15 at a predetermined sampling frequency. The monitoring signal from the sensor 15 is time waveform data. The data conversion unit 22 converts the time waveform data into frequency waveform data by Fourier transform (for example, fast Fourier transform).

The filter unit 23 extracts waveform data in a certain frequency range from the frequency waveform data. In this embodiment, it is possible to switch whether the function of the filter unit 23 is enabled or disabled. Furthermore, the range (pass band) of the pass frequency of the filter unit 23 can be arbitrarily set. For example, the filter unit 23 extracts waveform data at the processing frequency f. When the spindle speed is set to N (rpm) and the number of cutting edges 40 is set to M, the machining frequency f can be expressed as f=N/60×M (unit: Hz). Furthermore, the spindle rotation speed N is equal to the rotation speed of the cutting tool 7.

The machining resistance calculation unit 24 calculates the vibration value at the machining frequency f as the machining resistance. The processing control part 25 controls the apparatus main body 2 based on the processing resistance calculated by the processing resistance calculation part 24 (refer FIG. 1). For example, the machining control unit 25 may control a motor driver for driving each motor of the X-axis feed mechanism 9 and the Y-axis feed mechanism 10 based on the machining resistance. Thereby, the processing speed of the workpiece W can be adjusted based on the processing resistance, in other words, the feed speed of the workpiece W can be adjusted. That is, in the present embodiment, the processing speed of the workpiece W is controlled by feedback control based on the output of the sensor 15.

The wear detection unit 26 detects the wear of the cutting tool 7 based on the machining resistance calculated by the machining resistance calculation unit 24. Specifically, the wear detection unit 26 compares the calculated machining resistance with a predetermined reference value. If the machining resistance is greater than a predetermined reference value, the wear detection unit 26 detects wear of the cutting tool 7.

As described later, when the cutting tool 7 is worn, the machining resistance will increase. Furthermore, the roughness of the surface of the workpiece W processed by the cutting tool 7 increases. That is, the wear of the cutting tool 7 has a correlation with machining resistance and surface roughness. Therefore, the value of the processing resistance corresponding to the upper limit of the surface roughness is obtained in advance as the reference value. The wear detection unit 26 compares the machining resistance calculated by the machining resistance calculation unit 24 with a reference value.

If the machining resistance reaches the reference value, the wear detection unit 26 may cause the machining control unit 25 to stop the control of the apparatus main body 2. Alternatively, the wear detection unit 26 may notify the user when the machining resistance is greater than the reference value. The notification may be a notification related to the wear of the cutting tool 7 or a notification related to the replacement of the cutting tool 7. Notification can also be done by sound, light, text (message, etc.), and the notification method is not particularly limited.

Furthermore, when the machining resistance is less than the predetermined reference value, the wear detection unit 26 determines that the cutting tool 7 has not yet been worn. At this time, the normal machining of the workpiece W is performed by the machining control unit 25.

Fig. 4 is a first graph showing an example of the correlation between machining resistance, surface roughness, and tool usage time. Fig. 5 is a second diagram showing an example of the correlation between machining resistance, surface roughness, and tool use time. In Figure 4, for the ball end mills with R=0.1 (mm), 0.2 (mm), and 0.25 (mm), respectively, the relationship between machining resistance and surface roughness with respect to tool usage time is shown. In Figure 5, for the ball end mills with R=0.3 (mm), 0.5 (mm), and 1 (mm), the relationship between the machining resistance and the surface roughness with respect to the tool usage time is shown respectively. Furthermore, in all examples, the workpiece is copper. Also, the unit of processing resistance is nm.

The machining resistance reflects the wear state of the tool. Therefore, when the tool wears out as the tool is used, the machining resistance will increase. When the machining resistance increases, the transferability of the tool movement to the machined surface of the workpiece decreases. As a result, the surface roughness increases (reference: "The relationship between cutting resistance and finishing surface roughness in simultaneous cutting" Harada Masakazu, Ojiro, Kagoshima Institute of Technology Research Report 42 (2007) P.25～P .28). That is, as the tool wears, the machining resistance increases, and the surface roughness of the workpiece increases. The graphs shown in Figures 4 and 5 show this tendency.

The relationship between machining resistance and surface roughness depends on the combination of material and tool specifications, but has nothing to do with individual differences in tools. Therefore, as long as the tools are of the same specification, the relationship between the machining resistance and the surface roughness is fixed regardless of the individual differences of the tools. Therefore, in this embodiment, this relationship is used.

As described above, in this embodiment, the value of the processing resistance corresponding to the upper limit of the surface roughness is specified as the reference value of the processing resistance. Thereby, the allowable range of processing resistance that satisfies the required range of surface roughness can be specified. For example, in the examples shown in FIGS. 4 and 5, the value of the processing resistance (=2000 (nm)) corresponding to the surface roughness Rz=0.0010 (mm) may be set as the reference value. The tool usage time when the machining resistance reaches the reference value may vary depending on the tool, but as long as the tool specifications are the same, the surface roughness when the machining resistance reaches the reference value is approximately the same regardless of the tool. Therefore, the wear detection unit 26 detects the wear of the cutting tool 7 by comparing the machining resistance calculated by the machining resistance calculation unit 24 with the reference value. By judging whether the machining resistance has reached the reference value, the wear state of the tool can be appropriately judged.

FIG. 6 is a schematic diagram showing the reference value stored in the control device 20. As shown in FIG. 6, the control device 20 memorizes the reference value of the machining resistance in accordance with the combination of the material (aluminum, copper, etc.) and the tool (for example, "rough machining tool" and "finishing tool"). In FIG. 6, the reference value is described in a table format, but the format for storing the reference value is not particularly limited.

In Fig. 6, descriptions such as "A", "B", and "C" are used to indicate tools. Not only can the product name be memorized in the table, but also the tool specifications (diameter, length, material, etc.) can be registered in the table. As long as the reference value used by the control device 20 for determination can be uniquely determined from the table. Since the reference value of the machining resistance can be set to an appropriate value corresponding to the workpiece and the tool, the quality of the machining can be stabilized.

Fig. 7 is a flowchart for explaining an example of the processing method according to the present embodiment. The processing shown in this flowchart is executed by the control device 20.

When the cutting process is started, in step S1, the time waveform data of the monitoring signal output from the sensor 15 is sampled by the sampling unit 21. The sampled time waveform data is converted into frequency waveform data by the data conversion section 22. The filter unit 23 extracts the amplitude value at the processing frequency from the frequency waveform data. The machining resistance calculation unit 24 calculates the machining resistance based on the extracted amplitude value. The wear detection unit 26 determines whether the machining resistance is less than a reference value.

If the machining resistance is lower than the reference value, the cutting process can be performed appropriately ("OK"). At this time, the machining of the workpiece W is advanced, and the final machining is completed.

On the other hand, in step S1, if the machining resistance exceeds the reference value ("not good (NG)"), in step S2, the control device 20 determines that the cutting tool 7 has been worn out, and executes the replacement of the cutting tool 7 treatment. The processing in step S2 may be, for example, processing to stop the device main body 2. Furthermore, the apparatus main body 2 can also replace the cutting tool 7. Alternatively, the process of step S2 may be a process of notifying the user of the wear of the cutting tool 7. When the process of step S2 ends, the overall process returns to step S1, and the machining process continues.

The structure of the cutting device of this embodiment is not limited to that shown in FIG. 1. In particular, the control device 20 need not be limited to a single device. Furthermore, the control device 20 is not limited to be installed in the device body 2.

Fig. 8 is a block diagram showing another configuration example of the cutting device of the present embodiment. As shown in FIG. 8, the control device 20 may also include a high-speed controller 31 and a programmable logic controller (Programmable Logic Controller, PLC). The high-speed controller 31 samples the monitoring signal from the sensor 15 to generate vibration waveform data. PLC32 generates frequency waveform data by Fourier transform (frequency analysis), and calculates the machining resistance value based on the frequency waveform data. Then, the PLC 32 calculates the optimal feed rate of the cutting tool 7 based on the machining resistance value. The main body 2 of the apparatus moves the cutting tool 7 according to the optimum feed speed instructed by the PLC 32, thereby cutting the workpiece. During the cutting process, the sensor 15 detects vibration. Therefore, feedback control based on the output of the sensor 15 is performed.

Furthermore, the PLC 32 detects the wear of the cutting tool 7 based on the machining resistance. The PLC 32 may also send a replacement instruction of the cutting tool 7 to the device body 2. If the device body 2 has an automatic tool changer (Automatic Tool Changer, ATC), the device body 2 can automatically change the cutting tool 7 according to instructions from the PLC 32. However, the PLC 32 may notify the user to replace the cutting tool 7 as described above.

[Effect] As described above, according to this embodiment, the wear of the cutting tool can be detected only based on the signal from the vibration sensor. Therefore, it is possible to grasp the wear of the cutting tool with a simple structure and inexpensively.

Furthermore, the cutting tool can be replaced at an appropriate timing. In this way, the use time of the cutting tool can be extended. Therefore, the cost required for the purchase of cutting tools can be reduced.

Even if cutting tools of the same manufacturer and type are used, the relationship between tool wear and tool use time is not fixed due to individual differences in the cutting performance of the tool. For this reason, when the standard of tool replacement is specified based on the usage time, the usage time of the cutting tool is set to have a margin relative to the actual usable time. Therefore, the following situation may be caused: the cutting tool is replaced before the cutting tool reaches the end of its life and not used up.

In this embodiment, the machining resistance correlated with the wear state of the cutting tool is used instead of the use time of the cutting tool. By detecting the machining resistance, the use time of the cutting tool can be extended. For example, the cutting tool can be used up to the end of its life. Therefore, the purchase cost required for the purchase of cutting tools can be reduced.

Fig. 9 is a first diagram illustrating the effect of measuring the machining resistance on the extension of the tool replacement time. In FIG. 9, the relationship between the tool size (the diameter of the tool) and the tool replacement time for a cutting tool for rough machining is exemplified. The tool material is cemented carbide and the material being cut is copper. For example, in a cutting tool with a diameter of 0.5 mm and a cutting tool with a diameter of 1 mm, the use time based on the measurement of the machining resistance can be longer than the current replacement time.

Fig. 10 is a second diagram illustrating the effect of measuring the machining resistance on the extension of the tool change time. Fig. 10 illustrates the relationship between the cutting tool and the tool change time for the cutting tool for finishing. In all cutting tools, the use time based on the measurement of the machining resistance can be extended compared to the current replacement time.

Furthermore, in the case of rough machining, the amount of machining per unit time is large, and the machining load is large. On the other hand, in the case of finishing, the amount of processing per unit time is small, and the processing load is also small. In all cases, by determining the life of the cutting tool based on the machining resistance, the cutting tool can be used longer.

[Note] As described above, this embodiment includes the following disclosures.

1. A method for detecting wear of a cutting tool (7), detecting the wear of a cutting tool (7) for cutting a workpiece (W), the method for detecting wear of the cutting tool (7) includes: step (S1) ) To convert the time waveform data of the monitoring signal output from the sensor (15) into frequency waveform data. The sensor (15) is set near the fixed position of the workpiece (W), (W) the vibration of the cutting tool (7) during the cutting process is detected; step (S1), based on the frequency waveform data, obtain the machining resistance during the cutting process of the workpiece (W); and steps (S1, S2) ), based on the machining resistance to detect the wear of the cutting tool (7).

2. The wear detection method of a cutting tool (7) as described in 1., wherein the steps (S1, S2) of detecting wear include: step (S1), judging whether the machining resistance is less than a reference value; and step (S2) ), when the machining resistance exceeds the reference value, wear is detected.

3. The wear detection method of a cutting tool (7) as described in 2., wherein the reference value is a value having a correlation with the surface roughness of the workpiece (W).

4. The wear detection method of the cutting tool (7) as described in 2. or 3., further comprising the following steps: according to the material of the workpiece (W) and the type of the cutting tool (7) , Select a reference value from multiple reference values.

5. A cutting processing device, comprising: a chuck head (6) that clamps a cutting tool (7) and rotates it; a fixed part (4) that fixes the workpiece (W); a carrier (3) ), the fixed part (4) is moved at a processing speed in a direction substantially orthogonal to the rotation axis of the chuck head (6); the sensor (15) is set on the workpiece (4) of the fixed part (4) Near the fixed position of W), it detects the vibration of the cutting tool (7) during the cutting process of the workpiece (W) and outputs the monitoring signal; and the control circuit (20) converts the time waveform data of the monitoring signal into frequency The waveform data is used to obtain the machining resistance during cutting of the workpiece (W) based on the frequency waveform data, and the control circuit (20) detects the wear of the cutting tool (7) based on the machining resistance.

6. The cutting processing device according to 5., wherein the sensor (15) is arranged in such a way that the detection direction is consistent with the direction that generates the maximum processing resistance.

7. The cutting processing device according to 5. or 6., wherein the control circuit (20) determines whether the processing resistance is less than a reference value, and when the processing resistance exceeds the reference value, wear is detected.

8. The cutting device according to the above 7., wherein the reference value is a value having a correlation with the surface roughness of the workpiece (W).

9. The cutting device according to 7. or 8., wherein the control circuit (20) memorizes a plurality of reference values corresponding to the material of the workpiece (W) and the type of the cutting tool (7) , Selecting the reference value to be compared with the processing resistance from a plurality of reference values.

It should be considered that the embodiment disclosed this time is illustrative and not restrictive in all respects. The scope of the present invention is shown by the scope of the patent application rather than the description, and is intended to include the meaning equivalent to the scope of the patent application and all changes within the scope.

1: Cutting equipment 2: Device body 3: carrier 4: Fixed fixture 5: Spindle support department 6: Clamping head 6A: Rotation axis 7: Cutting tools 8: Spindle motor 9: X axis feed mechanism 10: Y axis feed mechanism 11: Z axis feed mechanism 15: Sensor 20: control device 21: Sampling Department 22: Data Conversion Department 23: Filter section 24: Processing resistance calculation department 25: Processing Control Department 26: Wear detection department 31: High-speed controller 32: PLC 40: cutting edge 41: Shaft f: processing frequency N: Spindle speed S1, S2: steps W: to be cut

FIG. 1 is a diagram schematically illustrating an example of an application scene of the cutting processing apparatus of this embodiment. Fig. 2 is a diagram illustrating a cutting tool. Fig. 3 is a block diagram showing the structure of the control device. Fig. 4 is a first diagram showing an example of the correlation between machining resistance, surface roughness, and tool usage time. Fig. 5 is a second diagram showing an example of the correlation between machining resistance, surface roughness, and tool usage time. Fig. 6 is a schematic diagram showing a reference value stored in the control device. Fig. 7 is a flowchart for explaining an example of the processing method according to the present embodiment. Fig. 8 is a block diagram showing another configuration example of the cutting device of the present embodiment. Fig. 9 is a first graph illustrating the effect of measuring the machining resistance on the extension of the tool change time. Fig. 10 is a second diagram illustrating the effect of measuring the machining resistance on the extension of the tool change time.

1: Cutting equipment

2: Device body

3: carrier

4: Fixed fixture

5: Spindle support department

6: Clamping head

6A: Rotation axis

7: Cutting tools

8: Spindle motor

9: X axis feed mechanism

10: Y axis feed mechanism

11: Z axis feed mechanism

15: Sensor

20: control device

W: to be cut

Claims (9)

A method for detecting wear of a cutting tool, which detects the wear of a cutting tool used for cutting an object to be cut. The method for detecting wear of a cutting tool includes the following steps: The time waveform data of the monitoring signal output from the sensor is converted into frequency waveform data, and the sensor is set near the fixed position of the workpiece to be cut. Detection of vibration of cutting tools; According to the frequency waveform data, obtain the machining resistance in the cutting of the workpiece; and The wear of the cutting tool is detected based on the machining resistance. The wear detection method of a cutting tool according to claim 1, wherein The step of detecting the wear includes the following steps: Determine whether the processing resistance is less than a reference value; and When the machining resistance exceeds the reference value, the wear is detected. The wear detection method of a cutting tool according to claim 2, wherein The reference value is a value having a correlation with the surface roughness of the workpiece. The wear detection method of a cutting tool as described in claim 2 or claim 3, further includes the following steps: The reference value is selected from a plurality of reference values according to the material of the workpiece and the type of the cutting tool. A cutting processing device, which includes: The chuck head clamps the cutting tool and rotates it; Fixed part, to fix the workpiece; A stage for moving the fixed part at a processing speed in a direction substantially orthogonal to the rotation axis of the chuck; A sensor, which is arranged near the fixed position of the workpiece of the fixed part, detects the vibration of the cutting tool during the cutting of the workpiece and outputs a monitoring signal; and The control circuit converts the time waveform data of the monitoring signal into frequency waveform data, and obtains the machining resistance in the cutting process of the workpiece according to the frequency waveform data, The control circuit detects the wear of the cutting tool based on the machining resistance. The cutting processing device according to claim 5, wherein The sensor is arranged in such a way that the detection direction is consistent with the direction that generates the maximum processing resistance. The cutting processing device according to claim 5 or 6, wherein The control circuit determines whether the machining resistance is less than a reference value, and when the machining resistance exceeds the reference value, the wear is detected. The cutting processing device according to claim 7, wherein The reference value is a value having a correlation with the surface roughness of the workpiece. The cutting processing device according to claim 7, wherein The control circuit memorizes a plurality of reference values corresponding to the material of the workpiece and the type of the cutting tool, and selects the reference value to be compared with the machining resistance from the plurality of reference values.

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