Information processing device and machining system

Abstract

The present invention addresses the problem of identifying a physical quantity to be used when a detecting device performs processing to detect an abnormality in a tool. An information processing device according to one aspect of the present disclosure comprises: an acquiring unit that acquires (1) first acceleration data, which is the result of measuring the acceleration of a cutting tool attached to a machine tool body by means of a first acceleration sensor attached to the cutting tool, and (2) second acceleration data, which is the result of measuring, by means of a second acceleration sensor attached to a workpiece, the acceleration of the workpiece to which the second acceleration sensor is attached; a first identifying unit that, on the basis of the magnitude of the acceleration in the second acceleration data, identifies a first period, which is a period in which cutting is assumed to have been performed; and a second identifying unit that analyzes the first acceleration data in the first period to identify, from among a plurality of frequency bands of a physical quantity calculated from the first acceleration data, a frequency band of the physical quantity in which an abnormality in the cutting tool can be detected.

Description

Information Processing Apparatus and Processing System

[0001] The present disclosure relates to an information processing apparatus that identifies a physical quantity used when performing an abnormality detection process on a cutting tool.

[0002] A system that measures acceleration associated with vibration during cutting and performs abnormality detection of a tool from the measured acceleration is known. As such a system, a technique is disclosed in Patent Document 1 in which acceleration is measured by an acceleration sensor attached to a machine tool main body, and the measured acceleration is output to an external processing apparatus.

[0003] International Publication No. 2021 / 152831

[0004] An information processing apparatus according to one aspect of the present disclosure includes a sensor attached to a machine tool main body having a cutting tool or 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 apparatus that performs detection of an abnormality of the cutting tool and / or detection of 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 apparatus 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 apparatus.

[0005] It is a block diagram showing a main part configuration of a 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 first acceleration data and second acceleration data. It is a block diagram showing a main part configuration of a processing system according to Embodiment 2 of the present disclosure. It is a front view of a machine tool according to Embodiment 2 of the present disclosure.

[0006] In a system like the one disclosed in Patent Document 1, an acceleration sensor outputs multiple physical quantities calculated from the measured acceleration to a processing unit, and tool anomaly detection is performed based on these output physical quantities. In this case, since the multiple physical quantities include data that is unnecessary for tool anomaly detection, if the processing unit uses all of the physical quantity data output from the acceleration sensor to perform tool anomaly detection, the detection accuracy will decrease. Therefore, there is a need for an information processing device that can identify the physical quantities used by the detection device when performing tool anomaly detection. According to one aspect of this disclosure, the physical quantities used by the detection device when performing tool anomaly detection can be identified.

[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 includes a machine tool 10, an information processing device 50A, and a detection device 70A.

[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, a fourth cutting tool 24, and a second acceleration sensor 40. 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 of this disclosure 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, but 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 workpiece W, which is the target of cutting, to a position where it can be cut, 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 includes an insert 31 (tip), a holder 32 for holding the insert 31, and a first acceleration 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 first acceleration sensor 33 measures physical quantities during cutting and can output the measurement results as data via wireless connection. Part or all of the first acceleration sensor 33 may be placed inside, for example, the holder 32. In this embodiment, the first acceleration 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.

[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 acceleration data (hereinafter also referred to as first acceleration 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 information processing device 50A and the detection device 70A via wireless connection. The wireless connection may be based on known technology such as Wi-Fi®.

[0017] The first acceleration sensor 33, having the above configuration, is a sensor that can measure physical quantities in multiple frequency bands and output the measured physical quantities via wireless connection.

[0018] Power to the first acceleration 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 first acceleration sensor 33 is powered not from the machine tool 10 but from an external battery 91, 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 first acceleration sensor 33. From the above viewpoint, the first acceleration sensor 33 and the battery 91 may be integrally configured as a single component. In this case, power supply problems to the first acceleration sensor 33 due to damage to the cable 92 are more easily avoided. Power to the first acceleration sensor 33 may also be supplied from the above-mentioned power distribution panel.

[0019] Regarding the battery 91, "located outside the machine tool" means that power is not supplied to the first acceleration 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 first acceleration 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] The second acceleration sensor 40 is attached to the workpiece W as shown in Figure 3. The second acceleration sensor 40 measures the acceleration of the workpiece W and outputs acceleration data (hereinafter also referred to as second acceleration data) which is the result of the measurement. The second acceleration sensor 40 transmits the second acceleration data to the information processing device 50A. The transmission of the second acceleration data to the information processing device 50A may be performed by wireless connection.

[0023] Here, the procedure for manufacturing a processed product using the processing system 100A in this embodiment will be described. The manufacturing of a processed product using the processing system 100A includes a main processing step, in which a predetermined manufacturing process is repeated to repeatedly produce 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.

[0024] The information processing device 50A identifies the frequency band of the physical quantity output by the first acceleration sensor 33 during the main processing. As shown in Figure 1, the information processing device 50A includes a communication unit 51 that communicates with the first acceleration sensor 33 and the second acceleration sensor 40, an input unit 52 that receives input operations for the information processing device 50A, a display unit 53 for displaying various information, a storage unit 54 that stores various data used by the information processing device 50A, and a control unit 60A.

[0025] The control unit 60A controls each part of the information processing device 50A. The control unit 60A includes an acquisition unit 61A, a first identification unit 62, and a second identification unit 63.

[0026] The acquisition unit 61A acquires the first acceleration data output from the first acceleration sensor 33 and the second acceleration data output from the second acceleration sensor 40 via the communication unit 51. The acquisition unit 61A may also store the acquired data in the storage unit 54.

[0027] The first identification unit 62 identifies the period during which cutting is assumed to have been performed in the sample processing. Hereafter, this period will also be referred to as the first period. The first identification unit 62 identifies the first period based on the magnitude of acceleration in the second acceleration data acquired by the acquisition unit 61A from the second acceleration sensor 40.

[0028] The method for identifying the first period by the first identification unit 62 will be explained with reference to Figure 4. Figure 4 is a graph showing an example of first acceleration data and second acceleration data. The first acceleration data is the measurement result of measuring the acceleration of the first cutting tool 21 by the first acceleration sensor 33 attached to the first cutting tool 21. Since the first cutting tool 21 is attached to the turret 11, the first acceleration data includes acceleration information associated with vibrations caused by cutting and acceleration information associated with vibrations caused by the driving of the turret 11, as shown in Figure 4. On the other hand, the second acceleration data is the measurement result of measuring the acceleration generated in the workpiece W by the second acceleration sensor 40 attached to the workpiece W. Since the workpiece W is not in direct contact with the turret 11, the second acceleration data mainly consists of acceleration information associated with vibrations caused by cutting, as shown in Figure 4, and hardly any acceleration information associated with vibrations caused by the driving of the turret 11. The first identification unit 62 identifies the period in the second acceleration data when the acceleration is greater than a predetermined threshold as the first period in which cutting is assumed to have been performed by the cutting tool.

[0029] The second identification unit 63 identifies data used by the detection device 70A when detecting abnormalities in the first cutting tool 21, the second cutting tool 22, the third cutting tool 23, and the fourth cutting tool 24 during main machining, and / or when detecting signs of abnormalities in the cutting tools. Hereafter, this data will also be referred to as detection data.

[0030] Here, the detection device 70A uses physical quantities calculated by Fourier transforming the first acceleration data as detection data to detect abnormalities in the cutting tool and / or signs of abnormalities in the cutting tool. When the first acceleration data is Fourier transformed, physical quantities in multiple frequency bands are calculated. These physical quantities in multiple frequency bands include physical quantities in frequency bands where detection of abnormalities in the cutting tool and / or signs of abnormalities in the cutting tool is possible, and physical quantities in frequency bands where it is not possible. Therefore, by limiting the physical quantities used by the detection device 70A as detection data to only those physical quantities where detection of abnormalities in the cutting tool and / or signs of abnormalities in the cutting tool is possible, the detection accuracy of the detection device 70A can be improved.

[0031] The second identification unit 63 analyzes the data from the first period identified by the first identification unit 62 (more specifically, the data calculated by performing a Fourier transform) among the first acceleration data acquired by the acquisition unit 61A, and identifies a frequency band of a physical quantity among multiple frequency bands of physical quantities calculated from the first acceleration data that can detect abnormalities in the cutting tool and / or predict signs of abnormalities in the cutting tool. Hereafter, this frequency band will also be referred to as the first frequency band. For example, the second identification unit 63 may identify the first frequency band by analyzing each of the physical quantities in multiple frequency bands generated from acceleration data measured when an abnormality occurs in the cutting tool, among multiple frequency bands of physical quantities calculated from the first acceleration data. The second identification unit 63 outputs the identified first frequency band information to the detection device 70A.

[0032] The detection device 70A uses first acceleration data output from the first acceleration sensor 33, or physical quantities in multiple frequency bands generated by the processing unit 33B from the first acceleration data, to detect 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 to detect signs of abnormalities in the inserts 31. The detection device 70A is located outside the machine tool 10. As shown in Figure 1, the detection device 70A includes a communication unit 71 that communicates with the first acceleration sensor 33, an input unit 72 that receives input operations for the detection device 70A, a display unit 73 for displaying various information, a storage unit 74 for storing various data used by the detection device 70A, and a control unit 80A.

[0033] The control unit 80A controls each part of the detection device 70A. The control unit 80A includes an acquisition unit 81A and a detection unit 82.

[0034] The acquisition unit 81A acquires the first acceleration data output from the first acceleration sensor 33 during the main processing, or physical quantity data in multiple frequency bands generated by the processing unit 33B from the first acceleration data, via the communication unit 71. The acquisition unit 81A may also store the acquired data in the storage unit 74.

[0035] The detection unit 82 detects 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 detects signs of abnormalities in the inserts 31. Specifically, the detection unit 82 detects abnormalities in each cutting tool and / or detects signs of abnormalities in each cutting tool based on physical quantities in multiple frequency bands calculated by performing a Fourier transform on the first acceleration data. The physical quantities output from the first acceleration sensor 33 are data generated from measurement results of vibrations occurring in the first cutting tool 21, the second cutting tool 22, the third cutting tool 23, and the 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, the second cutting tool 22, the third cutting tool 23, and the fourth cutting tool 24 can be evaluated from the physical quantities output from the first acceleration sensor 33.

[0036] More specifically, the detection unit 82 detects abnormalities in each cutting tool and / or detects signs of abnormalities in each cutting tool based only on the physical quantities in the frequency band identified as the first frequency band by the second identification unit 63 of the information processing device 50A, from among the physical quantities in multiple frequency bands calculated by performing a Fourier transform on the first acceleration data. If the acquisition unit 81A acquires first acceleration data from the first acceleration sensor 33, the detection unit 82 can perform the above processing after calculating the physical quantities in multiple frequency bands by performing a Fourier transform on the first acceleration data.

[0037] As described above, the information processing device 50A in this embodiment includes an acquisition unit 61A that acquires first acceleration data and second acceleration data, a first identification unit 62 that identifies a first period, which is the period during which cutting is assumed to have been performed, based on the magnitude of the acceleration in the second acceleration data, and a second identification unit 63 that analyzes the first acceleration data in the first period identified by the first identification unit 62 to identify a first frequency band, which is a frequency band of a physical quantity that can detect abnormalities in each cutting tool and / or predict signs of abnormalities in each cutting tool, among a plurality of frequency bands of physical quantities calculated from the first acceleration data.

[0038] According to the above configuration, the second acceleration data is the result measured by the second acceleration sensor 40 attached to the workpiece W, and therefore contains almost no acceleration components due to vibrations caused by the driving of the turret 11. For this reason, the first identification unit 62 can identify a period in which the magnitude of the acceleration is equal to or greater than a predetermined threshold as a period in which cutting is assumed to have been performed. The second identification unit 63 analyzes the acceleration components of the first acceleration data in the first period in which cutting is assumed to have been performed, and can therefore identify physical quantities in frequency bands that enable detection of abnormalities in each cutting tool and / or detection of signs of abnormalities in cutting tools with high accuracy.

[0039] In the machining system 100A of this embodiment, the detection device 70A detects abnormalities in each cutting tool and / or detects signs of abnormalities based only on the physical quantities in the first frequency band identified by the information processing device 50A using the first and second acceleration data acquired during sample machining, out of the physical quantities in multiple frequency bands calculated from the first acceleration data. This limits the data used by the detection device 70A to detect abnormalities in each cutting tool and / or signs of abnormalities, thereby reducing the amount of processing required for detection while suppressing a decrease in detection accuracy.

[0040] In one embodiment of the processing system of this disclosure, the frequency band information identified as the first frequency band by the second identification unit 63 is output to the first acceleration sensor 33, and the first acceleration sensor 33 may output only the physical quantities of the first frequency band to the detection device 70A during the main processing. This reduces the amount of data output by the first acceleration sensor 33 compared to the case where the first acceleration sensor 33 outputs all physical quantities of multiple frequency bands during the main processing. As a result, the load on communication between the first acceleration sensor 33 and the detection device 70A can be reduced.

[0041] [Embodiment 2] Another embodiment of the present disclosure is described below. For convenience of explanation, components having the same function as those described in the above embodiments are denoted by the same reference numerals, and their descriptions are not repeated.

[0042] FIG. 5 is a block diagram showing the main configuration of the processing system 100B in the present embodiment. As shown in FIG. 5, the processing system 100B includes a machine tool 110, an information processing device 50B, and a detection device 70B.

[0043] FIG. 6 is a front view of the machine tool 110. As shown in FIGS. 5 and 6, the machine tool 110 includes a machine tool main body 111, a cutting tool 112, a work holder 113, a table 114, a first acceleration sensor 115, and a second acceleration sensor 116. The machine tool 110 is a machining center, and the machine tool in the present embodiment will be described as a machining center whose spindle extends in the vertical direction.

[0044] The machine tool main body 111 extends in the vertical direction. A holder 111A for holding the cutting tool 112 is provided at the lower end of the machine tool main body 111, and the machine tool main body 111 includes the cutting tool 112.

[0045] The cutting tool 112 is a member that cuts the work W by rotating while contacting the work W by being driven by a motor (not shown) with the vertical direction as the rotation axis while being held by the holder 111A. The cutting tool 112 is made of a material with high hardness, such as an alloy obtained by sintering and bonding tungsten carbide and an iron-based metal. <统一格式,将

[0046] 改为

[0046] The work holder 113 holds the work W. The structure of the work holder 113 is not particularly limited. 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 holder 113 is placed on the table 114.

[0047] The first acceleration sensor 115 is attached to the holder 111A. The first acceleration sensor 115 includes a sensor main body 115A, a processing unit 115B, and a communication unit 115C for wireless connection.

[0048] The sensor main body 115A measures the acceleration generated in the cutting tool 112. As described above, the first acceleration sensor 115 is attached to the holder 111A of the machine tool main body 111, and the cutting tool 112 is held by the holder 111A. Therefore, the sensor main body 115A can measure the acceleration generated in the cutting tool 112.

[0049] The processing unit 115B generates physical quantities in a plurality of frequency bands by performing a Fourier transform on the acceleration measured by the sensor main body 115A.

[0050] The communication unit 115C outputs, by wireless connection, the acceleration data as the first acceleration data, which is the measurement result of the acceleration of the cutting tool 112 measured by the sensor main body 115A, and / or the physical quantities in a plurality of frequency bands generated by the processing unit 115B to the information processing device 50B and the detection device 70B. The wireless connection may be based on a known technology such as Wi-Fi (registered trademark).

[0051] By having the above configuration, the first acceleration sensor 115 is a sensor capable of measuring physical quantities in a plurality of frequency bands and outputting the measured physical quantities by wireless connection.

[0052] As shown in FIG. 6, the second acceleration sensor 116 is attached to the work holder 113. The second acceleration sensor 116 measures the acceleration generated in the work holder 113 and outputs the acceleration data as the second acceleration data, which is the measurement result. The second acceleration sensor 116 transmits the second acceleration data to the information processing device 50B. The transmission of the second acceleration data to the information processing device 50B may be performed by wireless connection.

[0053] The information processing device 50B includes a control unit 60B instead of the control unit 60A in the first embodiment. The control unit 60B includes an acquisition unit 61B instead of the acquisition unit 61A in the first embodiment.

[0054] The acquisition unit 61B acquires, via the communication unit 51, the first acceleration data output from the first acceleration sensor 115 and the second acceleration data output from the second acceleration sensor 116.

[0055] In this embodiment, the first identification unit 62 identifies a first period, which is the period during which cutting is assumed to have been performed, based on the magnitude of acceleration in the first acceleration data output from the first acceleration sensor 115 and the second acceleration data output from the second acceleration sensor 116. The specific processing of the first identification unit 62 may be the same as the processing in Embodiment 1.

[0056] In this embodiment, the second identification unit 63 analyzes the first acceleration data for the first period identified by the first identification unit 62, and identifies a first frequency band among a plurality of frequency bands of physical quantities calculated from the first acceleration data, which is a frequency band of physical quantities capable of detecting abnormalities in the cutting tool 112 and / or detecting signs of abnormalities in the cutting tool 112. The specific processing of the second identification unit 63 may be the same as the processing in Embodiment 1.

[0057] The detection device 70B includes a control unit 80B in place of the control unit 80A in Embodiment 1. The control unit 80B includes an acquisition unit 81B in place of the acquisition unit 81A in Embodiment 1.

[0058] The acquisition unit 81B acquires the first acceleration data output from the first acceleration sensor 115 during the main processing, or physical quantity data in multiple frequency bands generated by the processing unit 115B from the first acceleration data, via the communication unit 71. The acquisition unit 81B may also store the acquired data in the storage unit 74.

[0059] In this embodiment, the detection unit 82 detects abnormalities in the cutting tool 112 and / or detects signs of abnormalities in the cutting tool 112. Specifically, the detection unit 82 detects abnormalities in the cutting tool 112 and / or signs of abnormalities in the cutting tool 112 based on physical quantities in multiple frequency bands calculated by performing a Fourier transform on the first acceleration data. The physical quantities output from the first acceleration sensor 115 are data generated from measurement results of vibrations occurring in the cutting tool 112. The vibrations occurring in the cutting tool 112 change depending on the amount of wear on the cutting tool 112. Therefore, the wear on the cutting tool 112 can be evaluated from the physical quantities output from the first acceleration sensor 115.

[0060] More specifically, the detection unit 82 detects abnormalities in the cutting tool 112 and / or detects signs of abnormalities in the cutting tool 112 based only on the physical quantities in the frequency band identified as the first frequency band by the second identification unit 63 of the information processing device 50B, from among the physical quantities in multiple frequency bands calculated by performing a Fourier transform on the first acceleration data. If the acquisition unit 81B acquires the first acceleration data from the first acceleration sensor 115, the detection unit 82 can perform the above processing after calculating the physical quantities in multiple frequency bands by performing a Fourier transform on the first acceleration data.

[0061] As described above, in the information processing device 50B of this embodiment, the first identification unit 62 identifies a first period, which is the period during which cutting is assumed to have been performed, based on the magnitude of the acceleration in the first acceleration data output from the first acceleration sensor 115 and the second acceleration data output from the second acceleration sensor 116. Then, the second identification unit 63 analyzes the first acceleration data for the first period identified by the first identification unit 62 and identifies a first frequency band among a plurality of frequency bands of physical quantities calculated from the first acceleration data, which is the frequency band of a physical quantity capable of detecting abnormalities in the cutting tool 112 and / or detecting signs of abnormalities in the cutting tool 112.

[0062] According to the above configuration, the second acceleration data is the result measured by the second acceleration sensor 40 attached to the workpiece holder 113, and therefore contains almost no acceleration components due to vibrations caused by the driving of the ATC (Auto Tool Changer) for changing cutting tools. Therefore, the first identification unit 62 can identify the period during which the magnitude of the acceleration is equal to or greater than a predetermined threshold as the period during which cutting is assumed to have been performed. In a machining center, the ATC is functionally equivalent to a turret in a milling machine or grinding machine. The second identification unit 63 analyzes the acceleration components of the first acceleration data during the first period during which cutting is assumed to have been performed, and can therefore identify physical quantities in a frequency band that enables detection of abnormalities in each cutting tool and / or detection of signs of abnormalities in cutting tools with high precision.

[0063] 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.

[0064] Specifically, in Embodiment 1, the first acceleration sensor 33 is located inside the holder 32, but the first acceleration sensor 33 may be located outside the holder 32, as in Embodiment 2 with respect to the first acceleration sensor 115. For example, the first acceleration sensor 33 may be directly attached to the turret 11. Similarly, in Embodiment 2, the first acceleration sensor 115 is located on the lower surface of the machine tool body 111, but for example, the first acceleration sensor 115 may be located inside the cutting tool 112.

[0065] (Summary) An information processing device according to Embodiment 1 of the present disclosure includes: an acquisition unit that acquires (1) first acceleration data which is the result of measuring the acceleration of a cutting tool by a first acceleration sensor attached to a cutting tool attached to a machine tool body or a holder that holds the cutting tool; and (2) second acceleration data which is the result of measuring the acceleration of a workpiece that is the target of cutting by the cutting tool or a holder that holds the workpiece to which the second acceleration sensor is attached by a second acceleration sensor attached to the workpiece or the holder to which the second acceleration sensor is attached; a first identification unit that identifies a first period which is the period during which cutting is assumed to have been performed based on the magnitude of the acceleration in the second acceleration data; and a second identification unit that analyzes the first acceleration data in the first period identified by the first identification unit and identifies a frequency band of a physical quantity among a plurality of frequency bands of physical quantities calculated from the first acceleration data which can detect abnormalities in the cutting tool and / or predict signs of abnormalities in the cutting tool.

[0066] The machining system according to embodiment 2 of the present disclosure comprises the machine tool body, the cutting tool, the first acceleration sensor, the second acceleration sensor, the information processing device of embodiment 1, and detects abnormalities in the cutting tool and / or predicts abnormalities in the cutting tool based only on the physical quantities of the frequency bands identified by the information processing device using the first acceleration data and the second acceleration data acquired in sample machining performed before the main machining process in which the machined product is repeatedly manufactured, from among a plurality of physical quantities of frequency bands calculated from the first acceleration data.

[0067] In the processing system according to embodiment 3 of the present disclosure, in embodiment 2, the first acceleration sensor may be configured to output only physical quantities in the frequency band identified by the information processing device to the detection device during the main processing.

[0068] 10, 110 Machine tool 11 Turret 21 First cutting tool 22 Second cutting tool 23 Third cutting tool 24 Fourth cutting tool 33, 115 First acceleration sensor 40, 116 Second acceleration sensor 50A, 50B Information processing device 61A, 61B, 81A, 81B Acquisition unit 62 First identification unit 63 Second identification unit 70A, 70B Detection device 100A, 100B Machining system 111 Machine tool body 111A Holder 112 Cutting tool 113 Workpiece holder

Claims

1. An information processing device comprising: an acquisition unit that acquires: (1) first acceleration data which is the result of measuring the acceleration of a cutting tool by a first acceleration sensor attached to a cutting tool mounted on the machine tool body or a holder that holds the cutting tool; and (2) second acceleration data which is the result of measuring the acceleration of a workpiece that is the target of cutting by the cutting tool or a holder that holds the workpiece by a second acceleration sensor attached to the workpiece or the holder to which the second acceleration sensor is attached; a first identification unit that identifies a first period which is the period during which cutting is assumed to have been performed based on the magnitude of the acceleration in the second acceleration data; and a second identification unit that analyzes the first acceleration data in the first period identified by the first identification unit and identifies a frequency band of a physical quantity among a plurality of frequency bands of physical quantities calculated from the first acceleration data which can detect abnormalities in the cutting tool and / or detect signs of abnormalities in the cutting tool.

2. A machining system comprising: the machine tool body; the cutting tool; the first acceleration sensor; the second acceleration sensor; the information processing device described in claim 1; and a detection device that detects abnormalities in the cutting tool and / or detects signs of abnormalities in the cutting tool based only on physical quantities in frequency bands identified by the information processing device using the first acceleration data and the second acceleration data acquired in a sample machining process performed before the main machining process in which the workpiece is repeatedly manufactured, from among a plurality of physical quantities in frequency bands calculated from the first acceleration data.

3. The machining system according to claim 2, wherein the first acceleration sensor outputs only physical quantities in the frequency band identified by the information processing device to the detection device during the main machining process.

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