Manufacturing method of product, information processing device and program

Abstract

To achieve the detection of abnormality of concentricity occurring in a machining process to a work-piece.SOLUTION: A method for manufacturing a product to be manufactured by machining a work-piece while rotating the work-piece around an axis includes the steps of: fixing a work-piece with a first chuck 111 and a second chuck 112 at two places in an axial direction to rotate the work-piece, and detecting vibrations by vibration detection means 150; machining the work-piece; fixing the work-piece only with the second chuck 112 to rotate the work-piece, and detecting vibrations by the vibration detection means 150; and performing first determination for determining the concentricity of the work-piece on the basis of vibrations detected in rotation with the work-piece fixed with the first chuck 111 and the second chuck 112, and second determination for determining the concentricity of the work-piece on the basis of a vibration pattern detected in rotation with the work-piece fixed only with the second chuck.SELECTED DRAWING: Figure 2

Description

[Technical Field]

[0001] The present invention relates to a manufacturing method of a product, an information processing device, and a program. [Background technology]

[0002] Measuring the coaxiality of cylindrical or columnar workpieces requires the use of expensive measuring equipment and requires measurement work to be performed in a quiet environment. Therefore, measuring the coaxiality of all workpieces after machining increases product costs and extends delivery times, making it unsuitable for products that are particularly targeted for mass production.

[0003] Meanwhile, there is a technology for detecting abnormalities in the coaxiality of a workpiece based on the vibration of a machining device such as an automatic lathe that processes the workpiece while rotating it around its axis.Patent Document 1 discloses a machine tool that includes a clamp that can be fastened to mount a workpiece or tool, a control unit that controls the fastening operation of the clamp, and a detection unit that detects abnormalities associated with the fastening operation of the clamp based on predetermined data related to the vibration or load of the clamp that is measured at a predetermined timing synchronized with the fastening operation of the clamp. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] JP 2020-55051 A Summary of the Invention [Problem to be solved by the invention]

[0005] Coaxiality inspection using vibration is based on the correlation between the vibration and the coaxiality of a workpiece when the workpiece is mounted on a processing device under specific conditions and the vibration is measured without any tool processing. However, when the workpiece is remounted during the processing process, the fastening of the workpiece by the fixture may shift, reducing the workpiece's coaxiality. Furthermore, deformation or distortion of the workpiece during processing may occur, impairing its coaxiality. In such cases, the post-processing state may not necessarily satisfy the conditions for a correlation between vibration and the workpiece's coaxiality, and abnormalities in coaxiality may not be detected.

[0006] An object of the present invention is to realize detection of abnormalities in coaxiality that occur during the machining process of a workpiece. [Means for solving the problem]

[0007] The present invention, which achieves the above-mentioned object, is a method for manufacturing a product by machining a workpiece while rotating it around its axis, and includes the steps of fixing the workpiece at two axial positions using a first chuck and a second chuck and rotating it, and detecting vibrations using a vibration detection means, machining the workpiece, fixing the workpiece using only the second chuck and rotating it, and detecting vibrations using the vibration detection means, and using a judgment means to make a first judgment to determine the coaxiality of the workpiece based on the vibrations detected during rotation while the workpiece is fixed using the first chuck and the second chuck, and a second judgment to determine the coaxiality of the workpiece based on the vibrations detected during rotation while the workpiece is fixed using only the second chuck. More preferably, the first determination is made based on the magnitude of the detected vibration. More preferably, the second determination is made based on an appearance pattern of peaks of the detected vibration. In more detail, the processing of the workpiece includes cutting the workpiece while it is fixed by the first chuck and the second chuck, and processing the workpiece fixed by the second chuck after it has been cut, and the second judgment is made based on the pattern of vibration peaks detected when the tool begins to come into contact with the workpiece during processing of the workpiece fixed by the second chuck. More specifically, machining of the workpiece fixed by the second chuck is performed by rotating the workpiece and bringing the tool into contact with the workpiece at a position away from the rotation axis of the workpiece. More specifically, in the second determination, the target range is the range in which a vibration pattern appears in which the vibration amount between peaks in the detected vibration decreases to a reference value determined based on the vibration amount before the appearance of the first peak, and the coaxiality is determined based on the number of peaks that appear in the target range. More specifically, in the second determination, the target range is the range in which a vibration pattern appears in which the vibration amount between peaks in the detected vibration drops to a reference value determined based on the vibration amount before the appearance of the first peak, and the coaxiality is determined based on the time from the appearance of the first peak to the end of the target range. More specifically, the second judgment is performed by a machine learning judgment algorithm that uses vibration data when the coaxiality of the workpiece is smaller than a predetermined standard and vibration data when the coaxiality is larger than this standard as training data. In addition, the present invention, which achieves the above-mentioned object, is a method for manufacturing a product by machining a workpiece while rotating it around its axis, and includes the steps of rotating the workpiece while fixed by a fixing means and detecting vibrations using a vibration detection means while the tool is not in contact with the workpiece, machining the workpiece, bringing the tool into contact with the workpiece while rotating the workpiece and detecting vibrations using the vibration detection means, and using a judgment means to make a first judgment to determine the coaxiality of the workpiece based on the vibrations detected while the tool is not in contact with the workpiece, and a second judgment to determine the coaxiality of the workpiece based on the vibrations detected while the tool is in contact with the workpiece. More preferably, the first determination is made based on the magnitude of the detected vibration. More preferably, the second determination is made based on an appearance pattern of peaks of the detected vibration. In more detail, the workpiece is rotated while being fixed, and the tool is brought into contact with the workpiece at a position away from the rotation axis of the workpiece to perform machining, and a second judgment is made based on the pattern of vibration peaks detected when the tool begins to contact the workpiece during machining. More specifically, the second determination is made based on vibrations detected when the final machining is performed on the workpiece. More specifically, in the second determination, the target range is the range in which a vibration pattern appears in which the vibration amount between peaks in the detected vibration decreases to a reference value determined based on the vibration amount before the appearance of the first peak, and the coaxiality is determined based on the number of peaks that appear in the target range. More specifically, in the second determination, the target range is the range in which a vibration pattern appears in which the vibration amount between peaks in the detected vibration drops to a reference value determined based on the vibration amount before the appearance of the first peak, and the coaxiality is determined based on the time from the appearance of the first peak to the end of the target range. More specifically, the second judgment is performed by a machine learning judgment algorithm that uses vibration data when the coaxiality of the workpiece is smaller than a predetermined standard and vibration data when the coaxiality is larger than this standard as training data. In addition, to achieve the above-mentioned object, the present invention is an information processing device that fixes a workpiece, processes the fixed workpiece using a processing means while rotating it around its axis using a driving means, and acquires vibration detection data from a processing device that detects vibrations during operation using a detection means, and processes the detection data acquired by the acquisition means, wherein the processing means performs a first judgment to determine the coaxiality of the workpiece based on information on the vibration amount obtained from the vibration detection data detected when the driving means rotates the workpiece and the tool of the processing means is not in contact with the workpiece, and a second judgment to determine the coaxiality of the workpiece based on the appearance pattern of vibration peaks obtained from the vibration detection data detected when the tool of the processing means is in contact with the workpiece. In addition, to achieve the above-mentioned object, the present invention is a program that causes a computer to execute the following processes: a process of fixing a workpiece, rotating the fixed workpiece around its axis using a driving means while machining it using a machining means, and acquiring vibration detection data from a machining device that detects vibrations during operation using a detection means; a process of determining the coaxiality of the workpiece based on information on the vibration amount obtained from the vibration detection data detected when the driving means rotates the workpiece and the tool of the machining means is not in contact with the workpiece; and a process of determining the coaxiality of the workpiece based on the appearance pattern of vibration peaks obtained from the vibration detection data detected when the tool of the machining means is in contact with the workpiece. [Effects of the Invention]

[0008] According to the present invention, abnormalities in coaxiality that occur during the machining process of a workpiece can be detected by vibrations of the machining device. [Brief explanation of the drawings]

[0009] [Figure 1] 1 is a diagram showing the configuration of a system to which a manufacturing method for a product according to an embodiment of the present invention is applied; [Figure 2] FIG. 2 is a diagram showing the configuration of a processing device. [Figure 3] FIG. 1 illustrates an example of the configuration of an information processing device. [Figure 4] FIG. 2 is a diagram showing an example of the configuration of a workpiece to be machined; [Figure 5] 5A and 5B are diagrams for explaining the processing of a workpiece, in which FIG. 5A shows an example of cutting processing of a workpiece, FIG. 5B shows a state in which the workpiece is gripped by both the first chuck and the second chuck, and FIG. 5C shows an example of cutting the workpiece. [Figure 6] 6A and 6B are diagrams for explaining the processing of a workpiece, in which FIG. 6A shows the state in which the cut workpiece is gripped by the second chuck, FIG. 6B shows an example of drilling holes in the workpiece, and FIG. 6C shows an example of chamfering the workpiece. [Figure 7] 7A and 7B are diagrams showing a sensor signal that is the subject of the first processing and the analysis results thereof, in which FIG. 7A is a diagram showing an example of the waveform of the sensor signal, FIG. 7B is a diagram showing a frequency distribution obtained by subjecting the sensor signal of FIG. 7A to a fast Fourier transform (FTT), and FIG. 7C is a diagram showing the relationship between the spindle frequency component of the sensor signal of FIG. 7A and the coaxiality of the workpiece. [Figure 8] 8A and 8B are diagrams showing the sensor signal that is the subject of the second processing and the analysis results thereof, in which FIG. 8A is a diagram showing an example of the waveform of the sensor signal for a good workpiece, FIG. 8B is a diagram showing an example of the waveform of the sensor signal for a defective workpiece, and FIG. 8C is a diagram showing the relationship between the number of pre-contacts and the coaxiality of the workpiece. DETAILED DESCRIPTION OF THE INVENTION

[0010] Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

[0011] <System configuration> FIG. 1 is a diagram showing the configuration of a system to which the method for manufacturing a product according to this embodiment is applied. This system includes a processing device 100 and an information processing device 200. The processing device 100 is a device that processes a workpiece, which is a product. The processing device 100 is provided with a vibration sensor 150. This vibration sensor 150 detects vibrations generated by the operation of the processing device 100. When the vibration sensor 150 detects vibrations, it transmits a signal indicating the detected vibrations (hereinafter referred to as a "sensor signal") to the information processing device 200. The information processing device 200 processes the acquired sensor signal, determines the coaxiality of the workpiece based on the processing result, and transmits the determination result to the processing device 100.

[0012] The processing device 100 also places the processed workpieces in a collection box 160. The collection box 160 is made up of a non-defective product collection box 161 for collecting non-defective products, a reserved product collection box 162 for collecting reserved products, and a defective product collection box 163 for collecting defective products. The processing device 100 sorts the workpieces into non-defective products, reserved products, and defective products based on the judgment results of the information processing device 200, and places the workpieces in the respective collection boxes 161, 162, 163. Here, a reserved product is a workpiece whose quality cannot be determined to be good or defective based on the judgment results of the information processing device 200. For the reserved products, for example, a manager may separately measure the coaxiality using a measuring instrument and individually determine whether the product is good or defective.

[0013] The machining device 100 and the information processing device 200 are connected via a trigger signal line 210, a sensor signal line 220, and a determination signal line 240. The trigger signal line 210 is a signal line that transmits a trigger signal to cause the information processing device 200 to start processing to determine the coaxiality of the workpiece. The sensor signal line 220 is a signal line that transmits a sensor signal from the vibration sensor 150. An A / D (analog / digital) converter 230 is provided on the sensor signal line 220. When the sensor signal is output from the vibration sensor 150, it is converted into a digital signal (detection data) indicative of the vibration detected by the A / D converter 230 and sent to the information processing device 200. The determination signal line 240 is a signal line that transmits a signal indicative of the determination result of the coaxiality of the workpiece made by the information processing device 200 to the machining device 100.

[0014] The vibration sensor 150 provided in the processing device 100, the signal lines 210, 220, 240, the A / D converter 230, and the information processing device 200 constitute a determination system S that determines the coaxiality of a workpiece based on the vibration of the processing device 100. The processing device 100 outputs a trigger signal at the timing when the vibration to be determined is obtained. Upon receiving the trigger signal, the information processing device 200 receives the A / D converted sensor signal and performs a process to determine the coaxiality of the workpiece. The information processing device 200 then returns the determination result to the processing device 100.

[0015] <Configuration of processing device 100> 2 is a diagram showing the configuration of the processing apparatus 100. The processing apparatus 100 includes a fixture 110, a drive mechanism 120, a tool 130, and a control device 140. The fixture 110 includes a first chuck 111 and a second chuck 112. As described above, the processing apparatus 100 is also provided with a vibration sensor 150. In this embodiment, the workpiece 300 is assumed to be a columnar or cylindrical member. The workpiece 300 is then processed while being rotated around its central axis.

[0016] The fixture 110 is a tool that fixes the workpiece 300 when the workpiece 300 is machined. As described above, the fixture 110 includes the first chuck 111 and the second chuck 112, and the first chuck 111 and the second chuck 112 grip and fix the workpiece 300 with one or both of them. The first chuck 111 and the second chuck 112 grip the workpiece 300 at two different positions in the axial direction of the workpiece 300. The first chuck 111 and the second chuck 112 are rotatable around the same rotation axis.

[0017] The driving mechanism 120 is a mechanism that rotates the first chuck 111 and the second chuck 112. The driving mechanism 120 drives the first chuck 111 and the second chuck 112 to rotate around the central axis of the workpiece 300 while gripping the workpiece 300.

[0018] The tool 130 is a tool used to process the workpiece 300. Various blades and members are prepared for the tool 130 depending on the type of processing to be performed on the workpiece 300. The tool 130 moves in a direction intersecting the rotation axis or along the rotation axis relative to the workpiece 300, which is fixed and rotated by one or both of the first chuck 111 and the second chuck 112. This allows the tool 130 to come into contact with the workpiece 300 at various orientations and angles to perform processing. Examples of the tool 130 include cutting tools, grinding tools, polishing tools, cutting tools, and drilling tools. The cutting tools, grinding tools, and polishing tools come into contact with the workpiece 300 while moving in a direction intersecting the rotation axis of the workpiece 300 or along the rotation axis, and are used to cut, grind, or polish the surface of the workpiece 300. The cutting tool comes into contact with the workpiece 300 while moving toward the center of the rotation axis of the workpiece 300, and is used to cut (so-called cut-off) the workpiece 300. The drilling tool comes into contact with the workpiece 300 while moving along the rotation axis of the workpiece 300 relative to the end face of the workpiece 300, and is used to form a hole in the end face of the workpiece 300.

[0019] The control device 140 is a device that controls the operation of the machining apparatus 100. For example, it controls the operation of the first chuck 111 and the second chuck 112 for fixing the workpiece 300, the operation of the drive mechanism 120, the operation of the tool 130, etc. The control device 140 also transmits and receives signals to and from the information processing device 200. Specifically, the control device 140 outputs a trigger signal to the information processing device 200 to start a process of determining the coaxiality of the workpiece 300, and transmits the trigger signal to the information processing device 200 via a trigger signal line 210. The control device 140 also receives a determination signal from the information processing device 200 via a determination signal line 240, and places the machined workpiece 300 in a collection box 160. At this time, the control device 140 sorts the workpiece 300 into a non-defective product, a reserved product, or a defective product based on the received determination signal, and places the workpiece 300 in one of a non-defective product collection box 161, a reserved product collection box 162, or a defective product collection box 163 depending on the sorting result.

[0020] The control device 140 is realized by, for example, a numerically controlled computer. The numerically controlled computer that realizes the control device 140 may be configured by, for example, a CPU (Central Processing Unit) and a storage device that stores a program executed by the CPU. The control device 140 may also be realized by an ASIC (Application Specific Integrated Circuit), an FPGA (Field-Programmable Gate Array), or other circuits.

[0021] The vibration sensor 150 is attached to the surface or inside of the processing apparatus 100, senses vibrations of the processing apparatus 100, and outputs a signal (sensor signal) indicating the magnitude of the vibrations. The sensor signal output from the vibration sensor 150 is transmitted to the information processing apparatus 200 via a sensor signal line 220. In the configuration shown in FIG. 1, the sensor signal output from the vibration sensor 150 is an analog signal, which is converted into a digital signal by an A / D converter 230 and input to the information processing apparatus 200. In this embodiment, the sensor signal is continuously output from the vibration sensor 150 and sent to the information processing apparatus 200. Note that in the configuration example shown in FIG. 2, the sensor signal is configured to be transmitted directly from the vibration sensor 150 to the information processing apparatus 200, but may also be transmitted via the control device 140.

[0022] <Configuration of information processing device 200> FIG. 3 is a diagram showing an example of the configuration of an information processing device 200. The information processing device 200 is realized by, for example, a computer. The computer that realizes the information processing device 200 includes a CPU (Central Processing Unit) 201, which is a calculation means, and a ROM (Read Only Memory) 202, a RAM (Random Access Memory) 203, and a storage device 204, which are storage means. The RAM 203 is a main memory and is used as a working memory when the CPU 201 performs calculation processing. The ROM 202 stores programs and data such as pre-prepared setting values, and the CPU 201 can read programs and data directly from the ROM 202 and execute processing. The storage device 204 is a storage means for programs and data. Programs are stored in the storage device 204, and the CPU 201 loads the programs stored in the storage device 204 into the main memory and executes them. The storage device 204 also stores results of processing by the CPU 201. The storage device 204 may be, for example, a magnetic disk device or an SSD (Solid State Drive).

[0023] The information processing device 200 receives, via a sensor signal line 220, a sensor signal (detection data) output from the vibration sensor 150 and converted into a digital signal by an A / D converter 230. Furthermore, upon receiving a trigger signal from the machining device 100 via a trigger signal line 210, the information processing device 200 analyzes the sensor signal and determines the coaxiality of the workpiece 300. The information processing device 200 then returns the determination result of the coaxiality of the workpiece 300 to the machining device 100 via a determination signal line 240. These processes by the information processing device 200 are executed, for example, by the CPU 201 shown in FIG. 3 executing a program. In other words, the information processing device 200 functions as an acquisition unit that acquires vibration detection data from the machining device 100 and also functions as a processing unit that processes the detection data acquired by the acquisition unit. These functions are realized, for example, by the CPU 201 shown in FIG. 3 executing a program. The analysis of the sensor signal and the determination of the coaxiality of the workpiece 300 will be described in detail below. The configuration example shown in FIG. 3 is merely an example of the case where the information processing device 200 is realized by a computer.

[0024] <Example of Work 300 configuration> Fig. 4 is a diagram showing an example of the configuration of a workpiece 300 to be machined. As described with reference to Fig. 2, the machining apparatus 100 of this embodiment fixes the workpiece 300 with one or both of the first chuck 111 and the second chuck 112, which are the fixture 110, and machines the workpiece 300 by bringing the tool 130 into contact with the workpiece 300 while rotating it. Therefore, the workpiece 300 has a cylindrical or columnar shape, and is machined such that the central axis 301 of the workpiece 300 coincides with the axis of rotation of the fixture 110.

[0025] FIG. 4 shows a cross section of workpiece 300 cut along a plane along central axis 301. Workpiece 300 shown in FIG. 4 comprises a spindle portion 310 extending over almost the entire axial length and a thick shaft portion 320 formed at one end of spindle portion 310. Here, the left end of workpiece 300 in FIG. 4 is referred to as the leading end, and the end face of workpiece 300 at the leading end is referred to as leading end surface 311. Conversely, the right end of workpiece 300 in FIG. 4 is referred to as the rear end, and the end face of workpiece 300 at the rear end is referred to as rear end surface 312. Therefore, in the example shown in FIG. 4, thick shaft portion 320 is formed at the rear end of spindle portion 310. Furthermore, a hole 330 is formed at the rear end of workpiece 300, with a depth of approximately half the axial length of workpiece 300. This hole 330 has a circular shape when viewed from the rear end of workpiece 300, and the center of hole 330 coincides with central axis 301 of workpiece 300. In the example shown in FIG. 4, the coaxiality of the workpiece 300 is determined by determining the coaxiality of a target position relative to a reference position shown in the figure.

[0026] <Processing of workpiece 300> Next, a specific example of machining the workpiece 300 will be described. In this embodiment, the specific type of machining the workpiece 300 is not particularly limited, but as an example, the machining procedure for the workpiece 300 shown in Fig. 4 will be illustrated. Here, it is assumed that the workpiece 300 is created by cutting a long bar material with a circular cross section.

[0027] 5 and 6 are diagrams illustrating the processing of the workpiece 300. Fig. 5(A) is a diagram showing an example of cutting the workpiece 300, Fig. 5(B) is a diagram showing a state in which the workpiece 300 is gripped by both the first chuck 111 and the second chuck 112, and Fig. 5(C) is a diagram showing an example of cutting the workpiece 300. Fig. 6(A) is a diagram showing a state in which the cut workpiece 300 is gripped by the second chuck 112, Fig. 6(B) is a diagram showing an example of drilling the workpiece 300, and Fig. 6(C) is a diagram showing an example of chamfering the workpiece 300.

[0028] 5 and 6, the left side of the drawing will be referred to as the front side and the right side as the rear side, in accordance with the leading and trailing ends of the workpiece 300 shown in FIG. 4. The bar material of the workpiece 300 is fed from the rear of the first chuck 111 (to the right of the first chuck 111 in the drawing). After the bar material has been fed to a length equivalent to the axial length of the workpiece 300, the first chuck 111 is tightened, and the workpiece 300 (bar material) is fixed.

[0029] Next, the drive mechanism 120 drives the first chuck 111 to rotate the workpiece 300 around the central axis 301. Then, as shown in FIG. 5(A), in this state, the workpiece 300 is cut by the cutting tool 130, and the outer shape of the workpiece 300 is formed. In this processing, the tool 130 cuts the outer peripheral surface of the workpiece 300 while moving, for example, in a direction intersecting the central axis 301 (axis of rotation) of the workpiece 300 or in a direction along the central axis 301, depending on the outer shape of the workpiece 300 to be formed by processing. In the example shown in FIG. 5(A), a thick shaft portion 320 is formed near the position where the workpiece 300 is fixed to the first chuck 111.

[0030] Once the outer shape of the workpiece 300 has been machined, the second chuck 112 is then tightened onto the workpiece 300. This causes the workpiece 300 to be fixed by both the first chuck 111 and the second chuck 112. As shown in FIG. 5(B), the second chuck 112 grips the tip side of the workpiece 300 against the first chuck 111 and fixes it there.

[0031] Next, the drive mechanism 120 synchronously drives the first chuck 111 and the second chuck 112 to rotate the workpiece 300 around the central axis 301. Here, the control device 140 outputs a trigger signal to cause the information processing device 200 to analyze the sensor signal and determine the coaxiality of the workpiece 300. Also, as shown in FIG. 5C , while the workpiece 300 is being rotated by the first chuck 111 and the second chuck 112, the cutting tool 130 cuts the workpiece 300. In this process, the tool 130 cuts the workpiece 300 while moving, for example, vertically toward the central axis 301 of the workpiece 300. The cutting of the workpiece 300 is performed at a position close to the first chuck 111 so that the thick shaft portion 320 is included in the cut workpiece 300. The cut surface of the cut workpiece 300 becomes the rear end surface 312 of the workpiece 300.

[0032] Once the workpiece 300 has been cut, as shown in Fig. 6(A), the workpiece 300 is fixed only by the second chuck 112. In this state, the drive mechanism 120 drives the second chuck 112 to rotate the workpiece 300 around the central axis 301. Then, as shown in Fig. 6(B), a hole 330 is formed in the rear end surface 312 of the workpiece 300 by the drilling tool 130. In this processing, the tool 130 cuts the workpiece 300 while aligning the center of the blade of the tool 130 with the central axis 301 of the workpiece 300 and moving along the central axis 301 of the workpiece 300 from the rear end surface 312 side of the workpiece 300, for example.

[0033] Next, with the workpiece 300 rotated by the second chuck 112, as shown in FIG. 6C , the chamfering tool 130 chamfers the workpiece 300. The chamfering is the final processing performed on the workpiece 300 by the processing device 100. In this processing, the tool 130 cuts the workpiece 300 while moving, for example, in a direction intersecting the central axis 301 (axis of rotation) of the workpiece 300 or in a direction along the central axis 301, depending on the outer shape of the workpiece 300. Here, the control device 140 outputs a trigger signal to cause the information processing device 200 to analyze the sensor signal and determine the coaxiality of the workpiece 300.

[0034] As described above, the sensor signal output from the vibration sensor 150 was analyzed and the coaxiality of the workpiece 300 was determined based on the analysis results twice during the process of machining the workpiece 300 by the machining apparatus 100. In the above process, the first analysis and determination were performed on the sensor signal obtained when the workpiece 300 was fixed by the first chuck 111 and the second chuck 112 and the first chuck 111 and the second chuck 112 were rotated synchronously. The second analysis and determination were performed on the sensor signal obtained when the workpiece 300 was fixed by the second chuck 112 and chamfering, which is the final machining process on the workpiece 300, was performed.

[0035] The above steps described with reference to Figures 5 and 6 can be understood as a step of fixing and rotating the workpiece 300 in the first chuck 111 to machine the workpiece 300 (Figure 5(A)), a step of fixing and rotating the workpiece 300 in the first chuck 111 and the second chuck 112 to analyze the obtained sensor signals and determine the coaxiality of the workpiece 300 (hereinafter, this analysis and determination will be collectively referred to as "processing") (Figure 5(B)), a step of cutting the workpiece 300 (Figure 5(C)), a step of fixing and rotating the workpiece 300 in the second chuck 112 to machine the workpiece 300 (Figure 6(B)), and a step of fixing and rotating the workpiece 300 in the second chuck 112 to machine the workpiece 300 and processing the sensor signals obtained during machining (Figure 6(C)). In these steps, the first processing is performed on the sensor signals obtained while the workpiece 300 is rotated and the tool 130 is not in contact with the workpiece 300. The second processing is performed on the sensor signal obtained by rotating the workpiece 300 and bringing the tool 130 into contact with the workpiece 300 for machining.

[0036] Note that the specific processing content of the workpiece 300 is not limited to the above processing described with reference to Figures 5 and 6. Furthermore, the timing for analyzing the sensor signal and determining the coaxiality of the workpiece 300 (in other words, the timing for outputting the trigger signal by the control device 140) is not limited to the above timing. As an example, as described with reference to Figures 5 and 6, when the method for fixing the workpiece 300 by the first chuck 111 and the second chuck 112 is changed during the processing step, the sensor signal is processed before and after the fixing method is changed.

[0037] In the above process, the sensor signal is processed twice, but it may be processed three or more times. The multiple processes may be performed, for example, each time a different type of machining is performed. The final process among the multiple processes is performed, for example, when the final machining is performed on the workpiece 300. This final machining is not necessarily limited to the chamfering shown in FIG. 6(C) , and may be another type of machining. By performing the process multiple times in this manner during the machining process on the workpiece 300, it is possible to diagnose the relationship between the machining content and the coaxiality of the workpiece 300, such as at what stage in the machining process the coaxiality of the workpiece 300 deteriorated, or by what type of machining the coaxiality of the workpiece 300 deteriorated.

[0038] Furthermore, for example, when machining of the workpiece 300 includes machining performed with the workpiece 300 fixed in both the first chuck 111 and the second chuck 112, at least one process may be performed using the sensor signal obtained in this state. In this case, as described with reference to Fig. 5(B), the sensor signal obtained by simply rotating the workpiece 300 without bringing the tool 130 into contact with the workpiece 300 is used as the target.

[0039] <Sensor signal processing by information processing device 200> Next, the processing of the sensor signal by the information processing device 200 will be described. As described above, the processing of the sensor signal can be performed at various times during the process of machining the workpiece 300 by the machining device 100, and the number of times the processing is performed is not limited. Here, we focus on one of the multiple processings and another processing performed thereafter, and each will be described. Of the two processings of interest, the processing performed first is referred to as the "first processing," and the processing performed later is referred to as the "second processing." Note that, here, the two processings of interest are referred to as the "first processing" and the "second processing" to distinguish them, but the number of times the processing itself is performed may be three or more, and one or more other processings may be performed between the first processing and the second processing. In other words, when a processing is performed three or more times, two of the processings are the focus of attention, and the processing performed first of the focused processing is the "first processing," and the processing performed later is the "second processing."

[0040] The first process is a process performed on the sensor signal obtained by fixing and rotating the workpiece 300 on both the first chuck 111 and the second chuck 112 of the machining device 100. The sensor signal that is the target of the first process is a signal that represents vibration detected by the vibration sensor 150 in a state where the tool 130 is not in contact with the rotating workpiece 300. In the first process, the information processing device 200 analyzes the sensor signal and determines the coaxiality of the workpiece 300 based on the analysis result (first determination).

[0041] Fig. 7 shows the sensor signal that is the target of the first process and the analysis results thereof. Fig. 7(A) is a diagram showing an example of the waveform of the sensor signal, Fig. 7(B) is a diagram showing the frequency distribution obtained by subjecting the sensor signal of Fig. 7(A) to a fast Fourier transform (FTT), and Fig. 7(C) is a diagram showing the relationship between the spindle frequency component of the sensor signal of Fig. 7(A) and the coaxiality of the workpiece 300.

[0042] 7(A) shows vibrations detected from just before the second chuck 112 grips the workpiece 300 until the workpiece 300 is cut by the tool 130. At the moment the second chuck 112 grips and tightens the workpiece 300, a sharp, large vibration occurs, as shown at position P in FIG. 7(A). After this, the workpiece 300 starts to rotate, and the period until machining (cutting) by the tool 130 begins is the target of the first process. In the example shown in FIG. 7(A), range V is the sensor signal that is the target of the first process.

[0043] FIG. 7(B) shows the frequency distribution obtained by fast Fourier transforming the sensor signal in range V. In FIG. 7(B), F1 is the spindle frequency component, and FH is the harmonic component. The magnitude (amount of vibration) of this spindle frequency component correlates with the coaxiality of the workpiece 300. In the graph of FIG. 7(C), the vertical axis represents the vibration magnitude of the spindle frequency component, and the horizontal axis represents the coaxiality of the workpiece 300. For example, in FIG. 7(C), if the vibration magnitude of the spindle frequency component obtained by analyzing the sensor signal is 0.02 or less, the coaxiality of the workpiece 300 is 6.00 μm or less. On the other hand, if the vibration magnitude of the spindle frequency component is 0.03 or more, the coaxiality of the workpiece 300 is 9.00 μm or more. Therefore, for example, if a workpiece 300 with a coaxiality of 6.00 μm or less is considered a good product and a workpiece 300 with a coaxiality of 9.00 μm or more is considered a defective product, a workpiece 300 with a vibration magnitude of the spindle frequency component of 0.02 or less can be determined to be a good product, and a workpiece 300 with a vibration magnitude of 0.03 or more can be determined to be a defective product. In this way, by determining the standard coaxiality of the workpiece 300 and calculating in advance the vibration magnitude of the spindle frequency component that always includes this standard coaxiality, it is possible to determine whether the target workpiece 300 is a good product or a defective product based on the vibration magnitude of the spindle frequency component obtained by analyzing the sensor signal. Also, in Figure 7(C), if the vibration magnitude of the spindle frequency component is between 0.02 and 0.03, the coaxiality of the workpiece 300 falling within this range is approximately 3.00 μm to 10.00 μm, and it cannot be determined to be either a good product or a defective product. The workpieces 300 that fall into this category may be treated as reserved items, and the coaxiality may be measured separately using a measuring instrument or the like to determine whether they are good or bad.

[0044] The second process is performed by fixing and rotating the workpiece 300 in the second chuck 112 of the processing device 100 and using the obtained sensor signal as a target. The sensor signal that is the target of the second process is a signal that represents vibrations detected by the vibration sensor 150 when the tool 130 is brought into contact with the rotating workpiece 300. In the second process, the information processing device 200 analyzes this sensor signal and determines the coaxiality of the workpiece 300 based on the analysis results (second determination).

[0045] In a state in which the workpiece 300 was fixed by the first chuck 111 and the second chuck 112, there was a correlation between the magnitude of the spindle frequency component of the sensor signal based on vibrations detected by rotating the workpiece 300 and the coaxiality of the workpiece 300. Therefore, in the first determination, the correlation between the magnitude of the spindle frequency component of the sensor signal and the coaxiality of the workpiece 300 was utilized, and the coaxiality of the workpiece 300 was determined using the sensor signal based on vibrations detected while the workpiece 300 was rotated and before machining of the workpiece 300 was started.

[0046] In contrast, in a state in which the workpiece 300 is fixed only by the second chuck 112, no clear correlation is found between the magnitude of the spindle frequency component of the sensor signal based on the vibration detected when the workpiece 300 is rotated and the coaxiality of the workpiece 300. For this reason, unlike the first determination, it is not possible to determine the coaxiality of the workpiece 300 based on the magnitude of the vibration of the spindle frequency component using a sensor signal based on the vibration detected during the period from when the workpiece 300 is rotated until machining of the workpiece 300 is started. In this embodiment, the second determination is performed based on the appearance pattern of vibration peaks using a sensor signal based on the vibration detected when the workpiece 300 is fixed and rotated only by the second chuck 112 for machining.

[0047] Here, we consider the occurrence of vibration when the coaxiality of the workpiece 300 is large. When the workpiece 300 is fixed by the first chuck 111 or the second chuck 112 and rotated, misalignment occurs between the rotation axis and the central axis 301 depending on the location. Therefore, when a tool is brought close to the workpiece 300 for machining, the surface (outer or inner peripheral surface) of the workpiece 300 whose central axis 301 is misaligned with respect to the rotation axis first comes into contact with the tool 130. Then, after a state in which the tool 130 comes into contact with the workpiece 300 every time the workpiece 300 rotates around the rotation axis (hereinafter referred to as "pre-contact"), the tool 130 comes into contact with the entire circumferential direction of the workpiece 300, and the intended machining (hereinafter referred to as "main machining") is performed. Therefore, it is expected that the greater the coaxiality, the longer the time until main machining begins and the more pre-contacts that occur during this period. Therefore, in the second determination, the coaxiality of the workpiece 300 is determined using the number of pre-contacts and the time until the start of the main machining.

[0048] 8A and 8B are diagrams showing the sensor signal to be subjected to the second processing and the analysis results thereof. Fig. 8A is a diagram showing an example of the waveform of the sensor signal for a non-defective workpiece, Fig. 8B is a diagram showing an example of the waveform of the sensor signal for a defective workpiece, and Fig. 8C is a diagram showing the relationship between the number of pre-contacts and the coaxiality of the workpiece 300.

[0049] 8(A) and 8(B) each show vibrations detected over a certain period of time from a certain point before machining of the workpiece 300 begins. As described above, when the tool 130 approaches the workpiece 300 for machining, pre-contact occurs several times before the actual machining begins. When pre-contact occurs, a peak representing vibration due to pre-contact is formed in the waveform of the sensor signal. Pre-contact occurs once per rotation of the workpiece 300 around the rotation axis, so peaks in the sensor signal based on pre-contact occur at equal intervals for each rotation of the workpiece 300. Furthermore, during the period when pre-contact occurs, the tool 130 is not in contact with the workpiece 300 between each pre-contact. Therefore, the magnitude of vibration between each peak based on pre-contact in the sensor signal decreases to approximately the magnitude of vibration in a state where the tool 130 is not in contact with the workpiece 300 (e.g., a state before the first pre-contact peak occurs).

[0050] 8(A) and 8(B), in the example shown in FIG. 8(A), main machining is started after three pre-contacts P1 to P3 occur. In the example shown in FIG. 8(B), main machining is started after five pre-contacts P1 to P5 occur. Furthermore, the time from the occurrence of the first pre-contact P1 to the start of main machining (range C in the figure) is shorter in the example shown in FIG. 8(A) and longer in the example shown in FIG. 8(B). This means that in FIG. 8(A), which targets a non-defective workpiece 300, three pre-contacts are required before the tool 130 comes into contact with the entire circumferential direction of the workpiece 300 and main machining is started, whereas in FIG. 8(B), which targets a defective workpiece 300, five pre-contacts are required.

[0051] In the graph of FIG. 8(C), the vertical axis represents the number of pre-contacts, and the horizontal axis represents coaxiality. For example, in FIG. 8(C), if the number of pre-contacts in the sensor signal is three or less, the coaxiality of the workpiece 300 is 12.00 μm or less. On the other hand, if the number of pre-contacts is six or more, the coaxiality of the workpiece 300 is 14.00 μm or more. Therefore, for example, if a workpiece 300 with a coaxiality of 12.00 μm or less is determined to be a good product and a workpiece 300 with a coaxiality of 14.00 μm or more is determined to be a defective product, a workpiece 300 with a number of pre-contacts three or less can be determined to be a good product, and a workpiece 300 with a number of pre-contacts six or more can be determined to be a defective product. In this way, by determining the coaxiality of the workpiece 300 that serves as a standard for determining whether it is a good product or a defective product and determining in advance the number of pre-contacts that will always include this standard coaxiality, it is possible to determine whether the target workpiece 300 is a good product or a defective product based on the number of pre-contacts in the sensor signal. 8(C), when the number of pre-contacts is four or five, the coaxiality of the workpiece 300 that falls within this range is approximately 7.00 μm to 15.00 μm, and it is not possible to determine whether the workpiece 300 is good or bad. Workpieces 300 that fall within this range may be treated as reserved items, and their coaxiality may be measured separately using a measuring instrument or the like to determine whether they are good or bad.

[0052] In the example shown in FIG. 8C , the relationship between the number of pre-contacts and the coaxiality of the workpiece 300 was described. However, as described above, instead of the number of pre-contacts, the coaxiality of the workpiece 300 may be determined based on the length of time from the first pre-contact to the start of actual machining. In this case, a standard coaxiality of the workpiece 300 is determined as a good or bad product, and the pre-contact occurrence time that always includes this standard coaxiality is determined in advance. If the occurrence time of the pre-contact vibration pattern in the sensor signal is shorter than the occurrence time of the pre-contact that always includes the standard coaxiality of a good product, the workpiece is determined as good. If the occurrence time of the pre-contact vibration pattern in the sensor signal is longer than the occurrence time of the pre-contact that always includes the standard coaxiality of a bad product, the workpiece is determined as good. Furthermore, if the occurrence time of the pre-contact vibration pattern in the sensor signal is between the occurrence time of the pre-contact that always includes the standard coaxiality of a good product and the occurrence time of the pre-contact that always includes the standard coaxiality of a bad product, the workpiece is determined as a non-good product.

[0053] Here, the identification of the pre-contact waveform will be described. As described above, peaks of the sensor signal based on pre-contact occur at equal intervals every time corresponding to one rotation of the workpiece 300. The magnitude of vibration between each pre-contact peak decreases to approximately the magnitude of vibration before the pre-contact peak occurred. Therefore, a reference value based on the magnitude of vibration before the pre-contact peak occurs is set, and the information processing device 200 sets the target range for the second determination to be a range (e.g., range C in Figures 8(A) and 8(B)) in which a vibration pattern appears in which the magnitude of vibration decreases to the reference value between equally spaced peaks. Furthermore, the information processing device 200 determines that main machining has started when the magnitude of vibration no longer decreases to the reference value. The reference value can be set, for example, to a value that is a certain value larger than the magnitude of vibration before the pre-contact peak occurs, or a certain ratio (e.g., 1.2 times) of the magnitude of such vibration.

[0054] In the second judgment, the workpiece 300 may be judged as good or bad using a judgment algorithm based on machine learning. In this case, for example, a vibration pattern during machining of a good workpiece 300 whose coaxiality is smaller than a predetermined standard (e.g., the vibration pattern in FIG. 8(A)) and a vibration pattern during machining of a defective workpiece 300 whose coaxiality is larger than this standard (e.g., the vibration pattern in FIG. 8(B)) are used as training data to train the judgment algorithm based on machine learning. The vibration pattern in this case may be a vibration pattern in a range corresponding to pre-contact, or may be a pattern including vibrations during main machining.

[0055] As described above, there are types of machining for the workpiece 300 in which pre-contact is likely to occur and types in which pre-contact is unlikely to occur. For example, in the case of machining performed while the tool 130 moves in a direction intersecting the rotation axis of the workpiece 300 that is held and rotated by the first chuck 111 or the second chuck 112, pre-contact occurs when the tool 130 comes into contact with the outer peripheral surface or inner peripheral surface of the workpiece 300. Furthermore, in machining in which the tool 130 comes into contact with the outer peripheral surface or inner peripheral surface of the workpiece 300, pre-contact may occur even in machining performed while the tool 130 moves parallel to the rotation axis of the workpiece 300.

[0056] On the other hand, in the case of machining performed while the tool 130 moves parallel to the rotation axis of the workpiece 300 that is held and rotated by the first chuck 111 or the second chuck 112, and in the case of machining performed on a surface (hereinafter referred to as a "vertical surface") that is perpendicular to the central axis 301 of the workpiece 300, such as the end face of the workpiece 300, pre-contact is unlikely to occur. For example, in the case of machining to form a hole 330 in the rear end face 312 of the workpiece 300 as shown in Figure 6(B), when the tool 130 contacts the rear end face 312 of the workpiece 300, it is unlikely that only a specific position will come into contact with the tool 130 first.

[0057] However, even when machining is performed while the tool 130 moves parallel to the rotation axis relative to the vertical surface of the workpiece 300, pre-contact may occur if the machining is performed at a position away from the rotation axis (e.g., forming a circular groove). Deterioration in the coaxiality of the workpiece 300 during machining can be caused by the workpiece 300 itself or by the state of fixation of the workpiece 300. The former occurs when the shape of the workpiece 300 becomes distorted or misaligned with respect to the central axis 301 during machining or other processes. The latter occurs when the workpiece 300 is gripped at an angle when clamped and tightened by the first chuck 111 or the second chuck 112. In the former case, even if the central axis 301 of the workpiece 300 is misaligned with the rotation axis, it remains parallel, so the vertical surface of the workpiece 300 is also perpendicular to the rotation axis. Therefore, when the tool 130 contacts the vertical surface of the workpiece 300, it is not possible for only a specific position to come into contact with the tool 130 first. On the other hand, in the latter case, the central axis 301 of the workpiece 300 is not parallel to the rotation axis, and therefore the vertical surface of the workpiece 300 is not perpendicular to the rotation axis. Therefore, when the tool 130 contacts the vertical surface of the workpiece 300, it is possible that only a specific position on the vertical surface will come into contact with the tool 130 first, depending on the inclination of the central axis 301 relative to the rotation axis. In this case, the vibration pattern when this pre-contact occurs can be used to make the second judgment.

[0058] In the processing of the sensor signals by the information processing device 200, the first judgment was performed by analyzing the sensor signals obtained by rotating the workpiece 300 with two chucks (the first chuck 111 and the second chuck 112) and using the correlation between the vibration magnitude of the spindle frequency component and the coaxiality of the workpiece 300. On the other hand, the second judgment was performed using the vibration pattern of the sensor signal obtained when machining the workpiece 300 while rotating it with one chuck. However, the combination of these two types of judgment methods is merely an example, and other combinations may be used depending on the method of fixing the workpiece 300 in the machining process. In other words, the first judgment may be performed using the vibration pattern, and the second judgment may be performed using the correlation between the vibration magnitude of the spindle frequency component and the coaxiality of the workpiece 300.

[0059] Here, a determination using the correlation between the magnitude of vibration of the spindle frequency component and the coaxiality of the workpiece 300 can determine coaxiality with higher accuracy than a determination using the vibration pattern during machining. Therefore, if the determination can be made using the correlation between the magnitude of vibration of the spindle frequency component and the coaxiality of the workpiece 300 (in other words, if there is a process in which the workpiece 300 is rotated by synchronizing two chucks), the determination may be made using that method. If the determination cannot be made using the correlation between the magnitude of vibration of the spindle frequency component and the coaxiality of the workpiece 300, the determination may be made using the vibration pattern during machining.

[0060] Although the embodiments of the present invention have been described above, the technical scope of the present invention is not limited to the above embodiments. For example, in the above embodiment, the workpiece 300 is first rotated and machined using only the first chuck 111, then rotated and cut using the first chuck 111 and the second chuck 112, and then rotated and machined using only the second chuck 112. A first determination was made using a sensor signal obtained when the workpiece 300 was rotated using the first chuck 111 and the second chuck 112, and a second determination was made using a sensor signal obtained when the workpiece 300 was rotated and machined using only the second chuck 112. However, depending on the shape of the workpiece 300, cutting of the workpiece 300 may not be performed during the machining process. Even in such a case, if there is a process of changing the workpiece 300 from one chuck to another, a determination may be made using a sensor signal obtained when the workpiece 300 is rotated using the first chuck 111 and the second chuck 112 during this changeover.

[0061] In the above embodiment, the vibration sensor 150 constantly outputs a sensor signal based on the detected vibration, and the information processing device 200 executes processing on the sensor signal in response to a trigger signal output by the processing device 100. However, the processing device 100 may transmit the sensor signal of the vibration sensor 150 together with the trigger signal to the information processing device 200, and the information processing device 200 may execute processing on the sensor signal received together with the trigger signal.

[0062] 1, processing of the sensor signal is performed using an information processing device 200 provided separately from the processing device 100. In contrast, processing of the sensor signal may be performed using a computer or the like provided as, for example, the control device 140 in the processing device 100. The hardware configuration and functional configuration of each device and system are not limited to the specific configuration shown in the above embodiment described with reference to the drawings. In addition, various modifications and alternative configurations that do not deviate from the scope of the technical concept of the present invention are included in the present invention. [Explanation of symbols]

[0063] 100... processing device, 110... fixture, 111... first chuck, 112... second chuck, 120... drive mechanism, 130... tool, 140... control device, 150... vibration sensor, 160... collection box, 161... good product collection box, 162... reserved product collection box, 163... defective product collection box, 200... information processing device, 300... workpiece, 301... center shaft, 310... main shaft portion, 311... front end surface, 312... rear end surface, 320... thick shaft portion, 330... hole

Claims

1. A manufacturing method for a product in which a workpiece is processed while being rotated around an axis of the workpiece, a step of rotating the workpiece while fixing it at two axial positions by a first chuck and a second chuck, and detecting vibrations by a vibration detection means in a state where a tool is not in contact with the workpiece; a step of machining the workpiece after the step of detecting the vibration; a step of bringing a tool into contact with the workpiece while fixing and rotating the workpiece only by the second chuck and detecting vibrations by the vibration detection means in the step of machining the workpiece; a step of performing, by a determination means, a first determination of the coaxiality of the workpiece based on vibrations detected during rotation in a state in which the workpiece is fixed by the first chuck and the second chuck, and a second determination of the coaxiality of the workpiece based on vibrations detected during rotation in a state in which the workpiece is fixed only by the second chuck; A method for manufacturing a product, comprising:

2. The processing is cutting the workpiece while the workpiece is fixed by the first chuck and the second chuck; and processing the workpiece fixed by the second chuck after being cut, 2. The manufacturing method of the product described in claim 1, characterized in that the second judgment is made based on the appearance pattern of vibration peaks detected when a tool begins to contact the workpiece during processing of the workpiece fixed by the second chuck.

3. 3. The method for manufacturing a product according to claim 2, characterized in that the processing of the workpiece fixed by the second chuck is performed by rotating the workpiece and bringing the tool into contact with the workpiece at a position away from the rotation axis of the workpiece.

4. A manufacturing method for a product in which a workpiece is processed while being rotated around an axis of the workpiece, a step of rotating the workpiece while it is fixed by a fixing means, and detecting vibrations by a vibration detection means in a state where a tool is not in contact with the workpiece; a step of machining the workpiece after the step of detecting the vibration; In the step of machining the workpiece, a step of bringing a tool into contact with the workpiece while rotating the workpiece and detecting vibrations by the vibration detection means; a step of performing, by a determination means, a first determination of determining the coaxiality of the workpiece based on vibrations detected when the tool is not in contact with the workpiece, and a second determination of determining the coaxiality of the workpiece based on vibrations detected when the tool is in contact with the workpiece; A method for manufacturing a product, comprising:

5. The method for manufacturing a product according to claim 4, wherein the first determination is made based on the magnitude of the detected vibration.

6. 6. The method for manufacturing a product according to claim 4, wherein the second determination is made based on an appearance pattern of peaks of the detected vibration.

7. In the second determination, The target range is a range in which a vibration pattern appears in which the vibration amount between peaks in the detected vibration decreases to a reference value determined based on the vibration amount before the appearance of the first peak, The method for manufacturing a product according to claim 6, wherein the coaxiality is determined based on the number of peaks that appear in the target range.

8. In the second determination, The target range is a range in which a vibration pattern appears in which the vibration amount between peaks in the detected vibration decreases to a reference value determined based on the vibration amount before the appearance of the first peak, The method for manufacturing a product according to claim 6, wherein the coaxiality is determined based on the time from when the first peak appears to when the target range ends.

9. The manufacturing method of the product described in claim 6, characterized in that the second judgment is performed by a machine learning judgment algorithm that learns vibration data when the coaxiality of the workpiece is smaller than a predetermined standard and vibration data when the coaxiality is larger than the standard as training data.

10. A method for manufacturing a product by machining a workpiece while rotating it around its axis, a step of rotating the workpiece while it is fixed by a fixing means, and detecting vibrations by a vibration detection means in a state where a tool is not in contact with the workpiece; a step of machining the workpiece; a step of bringing a tool into contact with the workpiece while rotating the workpiece, and detecting vibrations with the vibration detection means; a step of performing, by a determination means, a first determination of determining the coaxiality of the workpiece based on vibrations detected in a state where the tool is not in contact with the workpiece, and a second determination of determining the coaxiality of the workpiece based on vibrations detected in a state where the tool is in contact with the workpiece, A method for manufacturing a product, characterized in that the second judgment is made by rotating the workpiece while keeping the workpiece fixed, contacting the tool with the workpiece at a position away from the rotation axis of the workpiece to perform processing, and based on the appearance pattern of vibration peaks detected when the tool begins to contact the workpiece during the processing.

11. The method for manufacturing a product according to claim 10, wherein the second determination is made based on vibrations detected when a final machining operation is performed on the workpiece.

12. A method of manufacturing a product by machining a workpiece while rotating it around its axis, a step of rotating the workpiece while fixing it at two axial positions by a first chuck and a second chuck, and detecting vibrations by a vibration detection means in a state where a tool is not in contact with the workpiece; a step of machining the workpiece; a step of bringing a tool into contact with the workpiece while fixing and rotating the workpiece only by the second chuck, and detecting vibrations with the vibration detection means; a step of performing, by a determination means, a first determination of the coaxiality of the workpiece based on vibrations detected during rotation in a state in which the workpiece is fixed by the first chuck and the second chuck, and a second determination of the coaxiality of the workpiece based on vibrations detected during rotation in a state in which the workpiece is fixed only by the second chuck, A method for manufacturing a product, characterized in that when the fixing method of the workpiece is changed, the first judgment or the second judgment is made depending on the fixing method of the workpiece before and after the change.

13. A method of manufacturing a product by processing a workpiece while rotating it around its axis, a step of rotating the workpiece while it is fixed by a fixing means, and detecting vibrations by a vibration detection means in a state where a tool is not in contact with the workpiece; a step of machining the workpiece; a step of bringing a tool into contact with the workpiece while rotating the workpiece, and detecting vibrations with the vibration detection means; a step of performing, by a determination means, a first determination of determining the coaxiality of the workpiece based on vibrations detected in a state where the tool is not in contact with the workpiece, and a second determination of determining the coaxiality of the workpiece based on vibrations detected in a state where the tool is in contact with the workpiece, A manufacturing method for a product, characterized in that when multiple machining operations are performed on the workpiece, the second judgment is made when a type of machining different from the type of machining performed immediately before is performed.

14. an acquisition means for acquiring detection data of vibration from a processing device that fixes a workpiece, rotates the fixed workpiece around an axis of the workpiece by a driving means, and processes the workpiece by a processing means while detecting vibration during operation by a detection means; a processing unit that processes the detection data acquired by the acquisition unit, The processing means is an information processing device characterized in that it performs a first determination to determine the coaxiality of the workpiece based on information on the amount of vibration obtained from the detection data of vibration detected when the driving means rotates the workpiece and the tool of the processing means is not in contact with the workpiece, and a second determination to determine the coaxiality of the workpiece based on the appearance pattern of vibration peaks obtained from the detection data of vibration detected when the tool of the processing means is in contact with the workpiece during processing of the workpiece performed after the first determination.

15. On the computer, a process of fixing a workpiece, rotating the fixed workpiece around its axis by a driving means while machining the workpiece by a machining means, and acquiring detection data of the vibration from a machining device that detects vibration during operation by a detection means; a process of determining the coaxiality of the workpiece based on information on the vibration amount obtained from the detection data of the vibration detected when the drive means rotates the workpiece and the tool of the processing means is not in contact with the workpiece; a process of determining the coaxiality of the workpiece based on an appearance pattern of vibration peaks obtained from the detection data of vibrations detected in a state where a tool of the processing means is in contact with the workpiece during processing of the workpiece performed after the determination; A program characterized by causing a program to be executed.

Images