Machining system

Abstract

The present invention addresses the problem of reducing a load applied to communication while suppressing deterioration in the accuracy of abnormality detection. A machining system according to one aspect of the present disclosure comprises: a sensor that is attached to a cutting tool, can measure physical quantities in a plurality of frequency bands, and outputs the measured physical quantities through wireless connection; and a processing device that detects an abnormality of the cutting tool and / or detects a sign of an abnormality of the cutting tool on the basis of the physical quantities acquired from the sensor. In main machining for repeatedly manufacturing works, the sensor outputs, to the processing device, only the physical quantity of a first frequency band from among the physical quantities of the plurality of frequency bands. The first frequency band is a frequency band in which the processing device can detect an abnormality of the cutting tool and / or detect a sign of an abnormality of the cutting tool.

Description

Processing system

[0001] The present disclosure relates to a processing system that performs processing using a cutting tool.

[0002] A system that measures physical quantities such as acceleration associated with vibration during cutting and detects abnormalities of the tool from the measured physical quantities is known. As such a system, Patent Document 1 discloses a technique in which a physical quantity is measured by a detection unit attached to a machine tool main body and the measured physical quantity is output to an external processing device by wireless communication.

[0003] International Publication No. 2021 / 152831

[0004] A processing system according to an aspect of the present disclosure includes a machine tool main body having a cutting tool or a sensor attached to the cutting tool, the sensor being capable of measuring physical quantities in a plurality of frequency bands and outputting the measured physical quantities by wireless connection, and a processing device that detects an abnormality of the cutting tool and / or detects a sign of an abnormality of the cutting tool based on the physical quantity acquired from the sensor. In main processing for repeatedly manufacturing a processed product, the sensor outputs only the physical quantity in a first frequency band, which is a frequency band in which the processing device can detect an abnormality of the cutting tool and / or detect a sign of an abnormality of the cutting tool, among the physical quantities in the plurality of frequency bands, to the processing device.

[0005] It is a block diagram showing the main part configuration of the processing system according to Embodiment 1 of the present disclosure. It is a schematic diagram showing a turret to which a cutting tool is attached. It is a perspective view of a first cutting tool. It is a graph showing an example of physical quantities in a plurality of frequency bands output from a sensor. It is a block diagram showing the main part configuration of the processing system according to Embodiment 2 of the present disclosure. It is an example of a display to be displayed on a display unit for a selection reception unit to receive an operation from a user. It is a block diagram showing the main part configuration of the processing system according to Embodiment 3 of the present disclosure. It is a front view of a machine tool.

[0006] In a system like the one disclosed in Patent Document 1, outputting all measured physical quantities to an external processing unit increases the load on wireless communication and thus increases power consumption. For example, if the detection unit is powered by a battery, the battery consumption will be high. However, reducing the amount of information output from the detection unit to the external processing unit reduces the accuracy of anomaly detection. Therefore, there is a need for a processing system that can reduce the load on communication while suppressing the decrease in the accuracy of anomaly detection. According to one aspect of this disclosure, it is possible to reduce the load on communication while suppressing the decrease in the accuracy of anomaly detection.

[0007] [Embodiment 1] Hereinafter, an embodiment of the present disclosure will be described in detail. Figure 1 is a block diagram showing the main components of the processing system 100A in this embodiment. As shown in Figure 1, the processing system 100A comprises a machine tool 10 and a processing device 50A.

[0008] Figure 2 is a schematic diagram showing a turret 11 to which cutting tools are attached. As shown in Figures 1 and 2, the machine tool 10 comprises a turret 11 (machine tool body), a workpiece drive unit 12, a first cutting tool 21, a second cutting tool 22, a third cutting tool 23, and a fourth cutting tool 24. The turret 11 is one of the components that make up the body of the machine tool 10 in one embodiment. The machine tool 10 is not limited to a machine called a lathe that has a turret 11, but may also be a machine called a milling machine or a grinding machine.

[0009] The turret 11 is a tool post on which multiple tools can be mounted radially. In this embodiment, the top surface of the turret 11 is circular, but the turret 11 in this embodiment is not limited to this shape. In this embodiment, as shown in Figure 2, the case in which a first cutting tool 21, a second cutting tool 22, a third cutting tool 23, and a fourth cutting tool 24 are mounted on the turret 11 will be described. However, the number of cutting tools that can be mounted on the turret 11 is not limited to four, but may be one, two, three, or five or more. The turret 11 can rotate to move the cutting tool to a position where it can cut the workpiece W, and the cutting tool can be switched to any of the first cutting tool 21, the second cutting tool 22, the third cutting tool 23, and the fourth cutting tool 24.

[0010] The workpiece drive unit 12 is a mechanism that drives the turret 11 and / or the workpiece W (see Figure 3) with respect to a cutting tool positioned in the turret 11 capable of cutting the workpiece W. For example, the workpiece drive unit 12 may rotate the workpiece W around a rotation axis and also move the turret 11 in a direction parallel to the rotation axis. Alternatively, the workpiece drive unit 12 may rotate the workpiece W around a rotation axis and also move the workpiece W in a direction parallel to the rotation axis. The current used by the workpiece drive unit 12 to drive the turret 11 and / or the workpiece W may be supplied from a power distribution panel provided by the machine tool 10.

[0011] Figure 3 is a perspective view of the first cutting tool 21. As shown in Figures 1 and 3, the first cutting tool 21 comprises an insert 31 (tip), a holder 32 for holding the insert 31, and a sensor 33.

[0012] The insert 31 is a component that cuts the workpiece W by contacting the workpiece W, which is rotated by the workpiece drive unit 12. The insert 31 is made of a highly hard material, such as an alloy formed by firing and bonding tungsten carbide and an iron-based metal. The shape of the insert 31 is not particularly limited, but as shown in Figure 3, it may be, for example, a triangular prism shape.

[0013] The sensor 33 measures physical quantities during cutting and can output the measurement results as data via wireless connection. Part or all of the sensor 33 may be placed inside, for example, the holder 32. In this embodiment, the sensor 33 comprises a sensor body 33A, a processing unit 33B, and a communication unit 33C for wireless connection.

[0014] The sensor body 33A measures the acceleration generated in the first cutting tool 21. The sensor body 33A may be mounted inside the holder 32. Here, vibrations generated by cutting the workpiece W with the second cutting tool 22, the third cutting tool 23, or the fourth cutting tool 24 are transmitted to the first cutting tool 21 via the turret 11. Therefore, the sensor body 33A can measure the vibration of the cutting tool that is cutting among the second cutting tool 22, the third cutting tool 23, or the fourth cutting tool 24 during the period when the workpiece W is being cut by the second cutting tool 22, the third cutting tool 23, or the fourth cutting tool 24. For this reason, even if the sensor body 33A is installed only on the first cutting tool 21, vibrations generated in the second cutting tool 22, the third cutting tool 23, and the fourth cutting tool 24 can be measured. However, since the sensor body 33A is installed on the first cutting tool 21, it measures the vibrations generated in the first cutting tool 21 with the highest accuracy. Examples of physical quantities that can be measured by the sensor body 33A include acceleration, vibration, strain, temperature, and angular velocity. In this embodiment, an example will be described in which the sensor body 33A is an acceleration sensor that measures acceleration.

[0015] The processing unit 33B generates physical quantities in multiple frequency bands by performing a Fourier transform on the acceleration measured by the sensor body 33A.

[0016] The communication unit 33C outputs measurement data, which is the measurement result of the sensor body 33A measuring the acceleration of the first cutting tool 21, and / or physical quantities in multiple frequency bands generated by the processing unit 33B, to the processing unit 50A via wireless connection. The wireless connection may be based on known technology such as Wi-Fi®.

[0017] By having the above configuration, the sensor 33 is capable of measuring physical quantities in multiple frequency bands and outputs the measured physical quantities via wireless connection.

[0018] Power to the sensor 33 may be supplied from the main body of the machine tool, or, as shown in Figure 3, from a battery 91 located outside the machine tool via a cable 92. In the latter case, the sensor 33 is powered by an external battery 91 rather than from the machine tool 10, making it easy to attach and detach the first cutting tool 21 from the main body of the machine tool 10. Furthermore, the machine tool 10 does not need to be equipped with a component for supplying power to the sensor 33. From the above viewpoint, the sensor 33 and the battery 91 may be integrally configured as a single component. In this case, it is easier to avoid power supply problems to the sensor 33 due to damage to the cable 92. Power to the sensor 33 may also be supplied from the distribution panel.

[0019] Regarding the battery 91, "located outside the machine tool" means that power is not supplied to the sensor 33 from the machine tool 10. Therefore, the battery 91 may be housed, for example, inside the main body (casing) that constitutes the machine tool 10.

[0020] The second cutting tool 22, the third cutting tool 23, and the fourth cutting tool 24 may have the same configuration as the first cutting tool 21, except that the type of insert 31 attached to them is different from that of the first cutting tool 21, and that they do not have a sensor 33.

[0021] Generally, machining involves multiple processes, such as rough machining which involves a large amount of material removal, and finishing machining which involves a small amount of material removal. Therefore, it is possible to use cutting tools appropriate to the amount of material removal in each process. In the machine tool 10, by rotating the turret 11, it is possible to select a cutting tool from among the first cutting tool 21, second cutting tool 22, third cutting tool 23, and fourth cutting tool 24 that is suitable for the amount of material removal in each process and perform machining on the workpiece W.

[0022] Here, the procedure for manufacturing a processed product in the processing system 100A of this embodiment will be described. The manufacturing of a processed product in the processing system 100A includes a main processing step, in which a predetermined manufacturing process is repeated to repeatedly manufacture a processed product, and a sample processing step performed before the main processing step. In the sample processing step, a sample of the processed product is created.

[0023] The processing unit 50A acquires data output from the sensor 33 and uses this data to detect abnormalities in the inserts 31 of the first cutting tool 21, the second cutting tool 22, the third cutting tool 23, and the fourth cutting tool 24, and / or to detect signs of abnormalities in the inserts 31. The processing unit 50A is located outside the machine tool 10. As shown in Figure 1, the processing unit 50A includes a communication unit 51 that communicates with the sensor 33 via the wireless connection, an input unit 52 that receives input operations for the processing unit 50A, a display unit 53 for displaying various information, a storage unit 54 that stores various data used by the processing unit 50A, and a control unit 60A.

[0024] The control unit 60A controls each part of the processing unit 50A. The control unit 60A includes an acquisition unit 61, a identification unit 62, and a detection unit 63.

[0025] The acquisition unit 61 acquires data output from the sensor 33 via the communication unit 51. In the machining system 100A of this embodiment, the data output from the sensor 33 differs between main machining and sample machining. Specifically, during sample machining, the sensor 33 outputs physical quantities in all frequency bands generated by the processing unit 33B, while during main machining, it outputs only the physical quantities in the frequency band specified by the identification unit 62 (hereinafter also referred to as the first frequency band) from among the physical quantities in multiple frequency bands generated by the processing unit 33B. Therefore, during sample machining, the acquisition unit 61 acquires measurement data, which is the measurement result of measuring the acceleration of the first cutting tool 21, and / or physical quantities in multiple frequency bands generated by the processing unit 33B, and during main machining, it acquires physical quantities in the first frequency band. The acquisition unit 61 may store the acquired data in the storage unit 54.

[0026] The identification unit 62 identifies the frequency band (i.e., the first frequency band) of the physical quantities output by the sensor 33 during the main machining process. Specifically, the identification unit 62 identifies the frequency band from among the multiple frequency band physical quantities generated by the processing unit 33B as the first frequency band, which is capable of detecting abnormalities in the first cutting tool 21, the second cutting tool 22, the third cutting tool 23, and the fourth cutting tool 24, and / or detecting signs of abnormalities in the first cutting tool 21, the second cutting tool 22, the third cutting tool 23, and the fourth cutting tool 24. For example, the identification unit 62 may identify the first frequency band by analyzing each of the multiple frequency band physical quantities generated from acceleration data measured when an abnormality occurs in the cutting tool during sample machining.

[0027] Here, an example of a method for identifying frequency bands in which signs of cutting tool abnormality can be detected will be explained with reference to Figure 4. Figure 4 is a graph showing an example of physical quantities in multiple frequency bands output from sensor 33. In the example shown in Figure 4, for simplicity, it is assumed that the processing unit 33B generates physical quantities in four frequency bands with frequencies f1, f2, f3, and f4 from acceleration data measured by the sensor body 33A, and that an abnormality in the cutting tool occurred at time T. As shown in Figure 4, when frequencies f1 and f2, the slope of the graph is constant over all time, including before and after time T, and the abnormality of the cutting tool is not reflected in the graph. Therefore, it is impossible to detect cutting tool abnormalities and signs of cutting tool abnormalities from the data of frequencies f1 and f2. In contrast, when frequencies f3 and f4, the slope of the graph changes a little before time T. Therefore, it is possible to detect cutting tool abnormalities and signs of cutting tool abnormalities from the data of frequencies f3 and f4.

[0028] In the above description, an example was given in which the identification unit 62 identifies the first frequency band by analyzing physical quantities in multiple frequency bands generated by the processing unit 33B of the sensor 33, but the processing system 100A of the present disclosure is not limited to this. In one embodiment of the processing system 100A of the present disclosure, the processing unit 50A may acquire acceleration data, which is the result of the sensor body 33A measuring acceleration during sample processing, via the acquisition unit 61, and perform a Fourier transform on the acquired acceleration data to generate physical quantities in multiple frequency bands. The identification unit 62 may then identify the first frequency band by analyzing the physical quantities in multiple frequency bands generated by the processing unit 50A.

[0029] The identification unit 62 outputs information of the frequency band identified as the first frequency band to the sensor 33 via the communication unit 51. The sensor 33 outputs physical quantities of the frequency band identified as the first frequency band during the main processing. If the identification unit 62 identifies multiple frequency bands as the first frequency band, the sensor 33 may output physical quantities of all of the multiple frequency bands identified as the first frequency band during the main processing. Alternatively, the sensor 33 may output physical quantities of one of the multiple frequency bands identified as the first frequency band.

[0030] The detection unit 63 detects abnormalities in the inserts 31 of the first cutting tool 21, second cutting tool 22, third cutting tool 23, and fourth cutting tool 24, and / or detects signs of abnormalities in the inserts 31, based on the physical quantities output from the sensor 33 during the main machining process. The physical quantities output from the sensor 33 are data generated from measurement results of vibrations occurring in the first cutting tool 21, second cutting tool 22, third cutting tool 23, and fourth cutting tool 24. The vibrations occurring in the cutting tools change depending on the amount of wear on the inserts 31 of the cutting tools. Therefore, the wear on the inserts 31 of the first cutting tool 21, second cutting tool 22, third cutting tool 23, and fourth cutting tool 24 can be evaluated from the physical quantities output from the sensor 33.

[0031] As described above, in the main machining process, only the physical quantities in the first frequency band, which are identified by the identification unit 62, are output from the sensor 33 among the physical quantities in multiple frequency bands generated by the processing unit 33B. Therefore, the detection unit 63 can use the physical quantities in the first frequency band, that is, physical quantities capable of detecting abnormalities and / or signs of abnormalities in each cutting tool, to detect abnormalities and / or signs of abnormalities in each cutting tool.

[0032] As described above, in the machining system 100A of this embodiment, the sensor 33 outputs physical quantities in a frequency band identified as a first frequency band capable of detecting abnormalities and / or signs of abnormalities in each cutting tool from among the physical quantities in multiple frequency bands measured during the main machining process, and the processing unit 50A detects abnormalities and / or signs of abnormalities in each cutting tool based on the physical quantities in the first frequency band. With the above configuration, it is possible to limit the information that the sensor 33 transmits to the processing unit 50A during the main machining process to information that is capable of detecting abnormalities and / or signs of abnormalities in the cutting tool. Therefore, the amount of data output by the sensor 33 can be reduced compared to the case where the sensor 33 outputs all physical quantities in multiple frequency bands during the main machining process. As a result, the load on communication between the sensor 33 and the processing unit 50A can be reduced. Furthermore, since the physical quantities in the first frequency band are physical quantities capable of detecting abnormalities and / or signs of abnormalities in each cutting tool, it is possible to suppress a decrease in the accuracy of detection of abnormalities and / or signs of abnormalities in each cutting tool by the processing unit 50A.

[0033] In the processing system 100A of this embodiment, the first frequency band is identified by analyzing physical quantities in multiple frequency bands measured by the sensor 33 during sample processing performed before the main processing. Therefore, the first frequency band can be identified with high accuracy.

[0034] In the machining system 100A of this embodiment, the sensor 33 is attached to the first cutting tool 21 and measures the acceleration generated in the first cutting tool 21. With the above configuration, since the sensor 33 is attached to the first cutting tool 21, vibrations generated in the first cutting tool 21 can be measured with high precision.

[0035] In the processing system 100A of this embodiment, the specific unit 62 is provided in the processing device 50A, but the processing system of this disclosure is not limited to this. In one aspect of the processing system of this disclosure, the function of the specific unit 62 may be provided in a processing device other than the processing device 50A, and the first frequency band identified by the processing device may be output to the sensor 33.

[0036] [Embodiment 2] Another embodiment of the present disclosure is described below. For the sake of convenience of explanation, components having the same function as those described in the above embodiment will be denoted by the same reference numerals, and their descriptions will not be repeated.

[0037] Figure 5 is a block diagram showing the main components of the processing system 100B in this embodiment. As shown in Figure 5, the processing system 100B includes a processing device 50B instead of the processing device 50A in Embodiment 1. The processing device 50B includes a control unit 60B instead of the control unit 60A in Embodiment 1. In addition to the configuration of the control unit 60A in Embodiment 1, the control unit 60B includes a selection receiving unit 64.

[0038] The selection reception unit 64 receives an operation from the user to select a frequency band for a physical quantity to be output from the sensor 33 during main processing, from among a plurality of frequency bands identified as the first frequency band by the identification unit 62. An example of how the selection reception unit 64 receives the above operation will be explained with reference to Figure 6. Figure 6 is an example of a display D that the display unit 53 displays for the selection reception unit 64 to receive the above operation. Here, it will be explained assuming that f3 and f4 have been identified as the first frequency band by the identification unit 62. As shown in Figure 6, the display D includes a display field D1 that shows the frequency to be selected, a display field D2 that shows the detection time for abnormalities and / or signs of abnormalities when each frequency is selected, a display field D3 that shows the reliability of detecting abnormalities and / or signs of abnormalities when each frequency is selected, and a display field D4 that accepts the user's selection via the input unit 52. The information displayed in display field D2 is information regarding the power consumption related to the wireless connection when each frequency is selected. The information displayed in display field D3 is information regarding the accuracy of detecting abnormalities in the cutting tool and / or predicting abnormalities in the cutting tool when each frequency is selected. The information displayed in display field D3 is calculated by analyzing each of the physical quantities in the first frequency band. The selection reception unit 64 receives an operation from the user to select one or more frequency bands from a plurality of first frequency bands to be output from the sensor 33 during main machining, based on the user's operation on display field D4.

[0039] The selection reception unit 64 outputs information about the frequency band selected by the user as the frequency band for the physical quantity to be output from the sensor 33 during main processing via the communication unit 51 to the sensor 33. The sensor 33 outputs the physical quantity in the selected one or more frequency bands during main processing. With the above configuration, the user can select the frequency band for the physical quantity to be output from the sensor 33 during main processing.

[0040] As described above, the selection reception unit 64 may display, in the display D, a display column D2 indicating the detectable time of an abnormality and / or a sign of an abnormality when each frequency is selected, and a display column D3 indicating the reliability of detection of an abnormality and / or a sign of an abnormality when each frequency is selected. Thereby, the user can select the frequency band of the physical quantity output from the sensor 33 during main processing in consideration of the detectable time and the detection accuracy.

[0041] [Embodiment 3] Another embodiment of the present disclosure will be described below. FIG. 7 is a block diagram showing a main configuration of a processing system 100C in this embodiment. As shown in FIG. 7, the processing system 100C includes a machine tool 70 instead of the machine tool 10 in Embodiment 1.

[0042] FIG. 8 is a front view of the machine tool 70. As shown in FIGS. 7 and 8, the machine tool 70 includes a machine tool body 71, a cutting tool 72, a work holding part 73, a table 74, and a sensor 75. The machine tool 70 is a machining center, and the machine tool in this embodiment will be described as a machining center whose spindle extends in the vertical direction.

[0043] The machine tool body 71 extends in the vertical direction. A holding part 71A for holding the cutting tool 72 is provided at the lower end of the machine tool body 71, and the machine tool body 71 includes the cutting tool 72.

[0044] The cutting tool 72 is a member that cuts the work W by rotating while contacting the work W by driving a motor (not shown) with the vertical direction as the rotation axis while being held by the holding part 71A. The cutting tool 72 is made of a material with high hardness, such as an alloy obtained by sintering and bonding tungsten carbide and an iron-based metal.

[0045] The work holding part 73 holds the work W. The structure of the work holding part 73 is not particularly limited, and for example, it may be a structure that holds the work W from the horizontal direction or a structure that holds the work W from the vertical direction. The work holding part 73 is placed on the table 74.

[0046] The sensor 75 measures physical quantities during machining and can output data, which is the measurement result, via wireless connection. As an example, the sensor 75 may be installed on the lower surface of the machine tool body 71. The sensor 75 includes a sensor body 75A, a processing unit 75B, and a communication unit 75C for wireless connection.

[0047] The sensor body 75A measures the acceleration generated in the machine tool body 71. The sensor body 75A is provided at a position where it can measure the acceleration generated in the machine tool body 71, including the acceleration associated with the vibration caused by the rotation of the cutting tool 72.

[0048] The processing unit 75B generates physical quantities in a plurality of frequency bands by performing Fourier transform on the acceleration measured by the sensor body 75A.

[0049] The communication unit 75C outputs, via wireless connection, the measurement data, which is the measurement result of the acceleration of the machine tool body 71 measured by the sensor body 75A, and / or the physical quantities in a plurality of frequency bands generated by the processing unit 75B to the processing device 50A. The above wireless connection may be based on a known technology such as Wi-Fi (registered trademark).

[0050] By having the above configuration, the sensor 75 can measure physical quantities in a plurality of frequency bands and is a sensor that outputs the measured physical quantities via wireless connection.

[0051] The processing device 50A in the present embodiment acquires the data output from the sensor 75 and uses the data to detect an abnormality of the cutting tool 72 and / or detect a sign of an abnormality of the cutting tool 72. The specific processing of the processing device 50A is the same as the processing in Embodiment 1.

[0052] In the machining system 100C of this embodiment, the sensor 75 outputs physical quantities in a frequency band identified as a first frequency band capable of detecting abnormalities and / or signs of abnormalities in the cutting tool 72 from among the physical quantities in multiple frequency bands measured during the main machining process. The processing unit 50A then detects abnormalities and / or signs of abnormalities in the cutting tool 72 based on the physical quantities in the first frequency band. With the above configuration, the information that the sensor 75 transmits to the processing unit 50A during the main machining process can be limited to information that enables the detection of abnormalities and / or signs of abnormalities in the cutting tool 72. Therefore, the amount of data output by the sensor 75 can be reduced compared to the case where the sensor 75 outputs all physical quantities in multiple frequency bands during the main machining process. As a result, the load on communication between the sensor 75 and the processing unit 50A can be reduced. Furthermore, since the physical quantities in the first frequency band are physical quantities capable of detecting abnormalities and / or signs of abnormalities in the cutting tool 72, a decrease in the accuracy of the processing unit 50A's detection of abnormalities and / or signs of abnormalities in the cutting tool 72 can be suppressed.

[0053] The inventions described in this disclosure have been explained above based on the drawings and embodiments. However, the inventions described in this disclosure are not limited to the embodiments described above. That is, the inventions described in this disclosure can be modified in various ways within the scope shown in this disclosure, and embodiments obtained by appropriately combining the technical means disclosed in different embodiments are also included in the technical scope of the inventions described in this disclosure. In other words, it should be noted that it is easy for those skilled in the art to make various modifications or alterations based on this disclosure. Furthermore, it should be noted that these modifications or alterations are included in the scope of this disclosure.

[0054] Specifically, in Embodiment 1, the sensor 33 is located inside the holder 32, but the sensor 33 may be located outside the holder 32, as with the sensor 75 in Embodiment 3. For example, the sensor 33 may be directly attached to the turret 11. Similarly, in Embodiment 3, the sensor 75 is located on the lower surface of the machine tool body 71, but for example, the sensor 75 may be located inside the cutting tool 72.

[0055] (Summary) The processing system according to Embodiment 1 of the present disclosure comprises a machine tool body having a cutting tool or a sensor attached to the cutting tool, which is capable of measuring physical quantities in multiple frequency bands and outputs the measured physical quantities via wireless connection, and a processing device that detects abnormalities in the cutting tool and / or detects signs of abnormalities in the cutting tool based on the physical quantities obtained from the sensor, wherein in the main processing which involves repeatedly manufacturing processed products, the sensor outputs to the processing device only the physical quantities in the first frequency band, which is the frequency band in which the processing device can detect abnormalities in the cutting tool and / or detect signs of abnormalities in the cutting tool, out of the physical quantities in the multiple frequency bands.

[0056] The processing system according to embodiment 2 of the present disclosure may be configured such that, in embodiment 1, the first frequency band is identified by analyzing the physical quantities of the plurality of frequency bands measured by the sensor in a sample processing performed before the main processing.

[0057] The processing system according to embodiment 3 of the present disclosure includes a selection receiving unit that receives an operation from the user to select one or more frequency bands from the first frequency band, and the sensor may be configured to output the physical quantities of the selected one or more frequency bands to the processing device in the main processing.

[0058] The machining system according to embodiment 4 of the present disclosure may be configured such that, in embodiment 3, the selection receiving unit displays, for each frequency band of the first frequency band, information regarding power consumption related to the wireless connection when that frequency band is selected, as well as information regarding the accuracy of detecting abnormalities in the cutting tool and / or detecting signs of abnormalities in the cutting tool.

[0059] In any of the embodiments 1 to 4 described above, the processing system according to embodiment 5 of the present disclosure may be configured such that the sensor is attached to the cutting tool and measures the acceleration generated in the cutting tool.

[0060] 10, 70 Machine tool 11 Turret (machine tool body) 12 Workpiece drive unit 21 First cutting tool 22 Second cutting tool 23 Third cutting tool 24 Fourth cutting tool 33, 75 Sensor 50A, 50B Processing unit 61 Acquisition unit 62 Identification unit 63 Detection unit 64 Selection acceptance unit 71 Machine tool body 72 Cutting tool 100A, 100B, 100C Machining system

Claims

1. A machining system comprising: a sensor attached to a machine tool body having a cutting tool or the cutting tool, which is capable of measuring physical quantities in multiple frequency bands and outputs the measured physical quantities via wireless connection; and a processing device that detects abnormalities in the cutting tool and / or detects signs of abnormalities in the cutting tool based on the physical quantities acquired from the sensor, wherein in a main machining process that repeatedly manufactures workpieces, the sensor outputs to the processing device only physical quantities in a first frequency band, which is a frequency band in which the processing device can detect abnormalities in the cutting tool and / or detect signs of abnormalities in the cutting tool, out of the physical quantities in the multiple frequency bands.

2. The processing system according to claim 1, wherein the first frequency band is identified by analyzing the physical quantities of the plurality of frequency bands measured by the sensor in a sample processing performed before the main processing.

3. The processing system according to claim 1 or 2, comprising a selection receiving unit that receives an operation from a user to select one or more frequency bands from the first frequency band, wherein the sensor outputs the physical quantities of the selected one or more frequency bands to the processing device in the main processing.

4. The machining system according to claim 3, wherein the selection receiving unit displays, for each frequency band of the first frequency band, information relating to the power consumption for the wireless connection when that frequency band is selected, and information relating to the accuracy of detecting abnormalities in the cutting tool and / or detecting signs of abnormalities in the cutting tool.

5. The machining system according to any one of claims 1 to 4, wherein the sensor is attached to the cutting tool and measures the acceleration generated in the cutting tool.

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