Mold management device, mold management system, mold management method and program

Abstract

A die management device (1) comprises an acquisition unit (10), an arithmetic unit (20), and a transmission unit (30). The acquisition unit (10) acquires shape data of a scrap material that has been generated through punching of a material being processed by a die. The arithmetic unit (20) determines a die-replacement timing index indicating a timing for replacing a die on the basis of the shape data, of the scrap material, acquired by the acquisition unit (10). The transmission unit (30) transmits the die-replacement timing index determined by the arithmetic unit (20) to a notification device.

Description

[Technical Field]

[0001] The present disclosure relates to a mold management device, a mold management system, a mold management method, and a program. [Background technology]

[0002] If the die becomes significantly worn during punching, punching defects will occur. Therefore, in order to prevent such punching defects from occurring, various die management devices and die management methods have been developed.

[0003] For example, Patent Document 1 discloses a mold management device that includes a piezoelectric element that measures the reaction force of a mold during punching, and a molding speed adjustment unit that adjusts the press molding speed of a press machine based on the reaction force data measured by the piezoelectric element and the reaction force data during punching when the mold has just been replaced and is in an unworn state.

[0004] Patent Document 2 also discloses a mold management method for preventing damage to a mold, which includes the steps of: predicting, by computer simulation, the shape of a first product when punched out by the mold; predicting, by computer simulation, the shape of a second product when residual stress after punching out by the mold is released; comparing the first product shape with the second product shape, extracting a part of the second product shape that protrudes more than the corresponding part of the first product shape, and determining the extracted part as a damage-risk part; and restraining the part determined to be the damage-risk part while punching out. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] Japanese Patent Application Laid-Open No. 2008-173686 [Patent Document 2] Japanese Patent Application Laid-Open No. 2015-174133 Summary of the Invention [Problem to be solved by the invention]

[0006] The die management device described in Patent Document 1 is equipped with a molding speed adjustment unit, which can reduce die wear. However, the molding speed adjustment unit only adjusts the press molding speed. Therefore, with this die management device, the press machine operator cannot easily know when to replace the die.

[0007] Furthermore, even with the mold management method described in Patent Document 2, the operator cannot easily know the timing for replacing the mold.

[0008] The present disclosure has been made to solve the above-mentioned problems, and aims to provide a mold management device, a mold management system, a mold management method, and a program that allow an operator to easily know when to replace a mold. [Means for solving the problem]

[0009] In order to achieve the above object, the mold management device according to the present disclosure includes: One Each time the workpiece is punched, multiple scrap pieces are produced. Dispose of all together The press equipment is equipped with Multiple The die management device includes an acquisition unit that acquires data on the shape of the scrap material, a calculation unit that calculates a die replacement timing index that indicates the timing of die replacement based on the data on the shape of the scrap material acquired by the acquisition unit, and a transmission unit that transmits the die replacement timing index calculated by the calculation unit to a notification device. Discharged together The scrap material shape data is acquired from the scrap material shape data acquired by the acquisition unit. When a certain number of samples is reached in a certain period, the corresponding combination of dies among the plurality of dies is identified from the plan view data included in the data on the shape of each scrap material, and the data on the shape of each scrap material is Calculate the first statistic from Multiple The mold is in an unworn condition In a state At some point, the unworn Multiple From data on the shapes of multiple scrap materials when the processed material is press-molded in a mold For each mold combination Calculated second statistic each The first statistic calculated as each The calculation unit further calculates the difference between the calculated For each difference, The difference handle Greater than the threshold It is determined whether or not the value is greater than the threshold value. In case, handle mold Combination of has reached the end of its lifespan Treat it, The result of the determination is output to the notification device as a die replacement timing index. [Effects of the Invention]

[0010] According to the configuration of the present disclosure, the calculation unit calculates a die replacement timing index that indicates the timing of die replacement based on data on the shape of the scrap material, and the transmission unit transmits the die replacement timing index to the notification device. The operator can easily know the timing of die replacement by being notified by the notification device. [Brief explanation of the drawings]

[0011] [Figure 1] 1 is a conceptual diagram of a press system connected to a mold management device according to a first embodiment of the present disclosure; [Figure 2] FIG. 1 is an enlarged perspective view of a scrap material formed by a press machine system connected to a mold management device according to a first embodiment of the present disclosure. [Figure 3] 1 is a hardware configuration diagram of a mold management device according to a first embodiment of the present disclosure; [Figure 4] Block diagram of a mold management device according to a first embodiment of the present disclosure. [Figure 5] FIG. 10 is a diagram showing an example of scrap information data stored in a numerical data storage unit included in a press machine system connected to a mold management device according to the first embodiment of the present disclosure. [Figure 6] FIG. 1 is a diagram showing an example of a threshold database stored in a threshold DB storage unit included in the mold management device according to the first embodiment of the present disclosure. [Figure 7] FIG. 1 is a diagram showing an example of a learning database stored in a learning DB storage unit included in the mold management device according to the first embodiment of the present disclosure. [Figure 8]FIG. 1 is a perspective view showing flatness of scrap material formed by a press machine system connected to a mold management device according to a first embodiment of the present disclosure. [Figure 9] FIG. 10 is a perspective view of a scrap material having a burr on the side of a convexly bent plate surface formed by a press machine system connected to the mold management device according to the first embodiment of the present disclosure; [Figure 10] FIG. 10 is a perspective view of a scrap material having a burr on the side opposite to a convexly bent plate surface formed by a press machine system connected to a mold management device according to an embodiment of the present disclosure; DETAILED DESCRIPTION OF THE INVENTION

[0012] Hereinafter, a mold management device, a mold management system, a mold management method, and a program according to embodiments of the present disclosure will be described in detail with reference to the drawings. In the drawings, the same or equivalent parts are designated by the same reference numerals.

[0013] (Embodiment 1) The die management device according to the first embodiment is provided in a press machine that performs punching, and is a device that calculates the die life and the remaining number of times of processing based on the shape of burrs on scrap material generated during punching by the press machine. First, the configuration of the press machine system in which the die management device is provided will be described with reference to FIG.

[0014] FIG. 1 is a conceptual diagram of a press machine system 50 connected to a mold management device 1 according to the first embodiment.

[0015] As shown in FIG. 1, the press system 50 includes a press 51 that processes a workpiece 2 and a conveyor 52 that transports scrap material 3 discharged from the press 51.

[0016] The press 51 is a press for punching, specifically a turret punch press. To perform punching, the press 51 is equipped with a disk-shaped upper turret 54 that holds a plurality of upper dies 53 and a disk-shaped lower turret 56 that holds a plurality of lower dies 55 that form pairs with the upper dies 53.

[0017] The upper turret 54 and the lower turret 56 rotate to move the necessary upper dies 53 and lower dies 55 from among the multiple upper dies 53 and multiple lower dies 55 to the pressing position. A metal plate, i.e., the workpiece 2, is transported between the upper turret 54 and the lower turret 56 by a table (not shown). When the workpiece 2 is transported between the upper turret 54 and the lower turret 56, the press 51 rotates the upper turret 54 and the lower turret 56 to select the necessary upper dies 53 and lower dies 55 and position them facing the workpiece 2. The press 51 then presses the workpiece 2 with the upper die 53, thereby punching the workpiece 2. The press 51 punches the workpiece 2 into the desired shape by repeatedly moving the table, rotating the upper turret 54 and the lower turret 56, and pressing the upper die 53. The upper die 53 and the lower die 55 will be referred to simply as the die hereinafter.

[0018] In the press machine 51, when the workpiece material 2 is punched, plate-shaped scrap material 3 is generated. The press machine 51 discharges the scrap material 3 onto a conveyor 52.

[0019] The conveyor 52 has pulleys 521, 522 driven by a motor (not shown), and an endless circular belt 523 wound around the pulleys 521, 522. Each time the press 51 finishes processing one workpiece 2, it discharges a plurality of scrap materials 3 together onto the belt 523 of the conveyor 52. The conveyor 52 rotates the pulleys 521, 522 to move the belt 523, and sends the plurality of scrap materials 3 discharged together to a disposal location at the end of the belt 523.

[0020] In such a press machine system 50, repeated punching by the die can cause the die to wear out, resulting in punching defects. Therefore, in order to prevent punching defects from occurring, when the die has been used for punching a certain number of times, the die is replaced with a new die.

[0021] Here, a new die refers to a die that is in an unworn state. For example, a new die is a die that is first used in the press machine 51, or a replaced die when the die is replaced in the press machine 51. New dies include dies that have never been used and are in an unworn state, as well as dies that have been used a few times and are essentially in an unworn state.

[0022] On the other hand, the shape of the scrap material 3 changes as the die wears. Therefore, in order to utilize this phenomenon and determine the wear state of the die from the shape of the scrap material 3, the press system 50 further includes a robot 57 that removes the scrap material 3 from the conveyor 52 and a shape measuring machine 58 that measures the shape of the scrap material 3 removed by the robot 57.

[0023] The robot 57 is a vertically articulated robot with multiple arms connected by multiple joints. The robot 57 has a hand (not shown) at the end arm that can grasp an object, and uses the hand to grasp scrap material 3 on the conveyor 52. At this time, the robot 57 removes scrap material 3 from a collection of scrap material 3 that has been discharged collectively from the press machine 51. The robot 57 then drives the arm to send the grasped scrap material 3 to the shape measuring machine 58. After measurement by the shape measuring machine 58, the robot 57 removes the scrap material 3 from the shape measuring machine 58 and sends it to a disposal location. The robot 57 repeats this operation to send multiple scrap material 3 from each collection of scrap material 3 on the conveyor 52 to the shape measuring machine 58.

[0024] The shape measuring machine 58 has a stage 581 on which the object to be inspected is placed, and an optical sensor 582 that projects light toward the stage 581 and detects the reflected light to measure the three-dimensional shape of the object to be inspected on the stage 581. When the robot 57 places the scrap material 3 on the stage 581, the optical sensor 582 projects light onto the scrap material 3. The optical sensor 582 measures the three-dimensional shape of the scrap material 3 by receiving the light reflected by the scrap material 3.

[0025] Next, with reference to FIG. 2, specific measurement locations of the scrap material 3 that are measured by the shape measuring machine 58 in order to obtain information for determining the wear state of the die will be described.

[0026] Fig. 2 is an enlarged perspective view of the scrap material 3 formed by the press machine system 50. In Fig. 2, the size and shape of burrs 301 are exaggerated for ease of understanding.

[0027] As shown in Fig. 2, the scrap material 3 has burrs 301 extending along the end surface. The size of the burrs 301 tends to increase as the die wear increases. Therefore, the shape measuring machine 58 measures the size of the burrs 301 of the scrap material 3 to obtain information for judging the wear state of the die.

[0028] Specifically, the burrs 301 protrude from the end face of the scrap material 3 toward one plate surface side or the other plate surface side. The burrs 301 are formed along the outer periphery of the scrap material 3. As a result, the burrs 301 have multiple protruding ends 303 in a direction along the outer periphery of the scrap material 3. The shape measuring machine 58 uses the plate surface 304 of the scrap material 3 adjacent to the burr 301, excluding the outer periphery 305 where the burr 301 occurs, as a reference plane. The shape measuring machine 58 then measures the height H of each of the multiple protruding ends 303 in a direction perpendicular to the reference plane, from the base portion 302 of the burr 301 to the protruding end 303. The shape measuring machine 58 uses the maximum value of the heights H of the protruding ends 303 as a representative value, and determines this maximum value as the size of the burr 301.

[0029] The shape measuring machine 58 may use the average or median value obtained from the height H of each of the protruding ends 303 as a representative value, and may use the representative value as the size of the burr 301.

[0030] Furthermore, the shape measuring machine 58 measures the planar shape of the scrap material 3 in order to classify which of the multiple dies equipped in the turret punch press machine the scrap material 3 was formed by, or to use this as information to determine whether the scrap material 3 is missing a portion.

[0031] In this way, the shape measuring machine 58 measures the size of the burrs 301 to obtain information for judging the wear state of the dies. The shape measuring machine 58 also measures the planar shape of the scrap material 3 to obtain information for judging which die was used to form the burrs. A die manager, for example, an operator of the press machine system 50, estimates which dies are worn and how they are worn based on the measurement results of the shape measuring machine 58. If the operator determines that a die is worn, he or she replaces the die.

[0032] However, estimating the wear state of a die requires skill, and as a result, it is difficult for an unskilled operator to make an accurate estimation, making it difficult to replace the die at the appropriate time.

[0033] Therefore, the press machine system 50 is provided with a die management device 1 shown in FIG. 1 in order to more accurately estimate the wear state of the die and replace the die at an appropriate timing.

[0034] Next, the configuration of the mold management device 1 will be described in detail with reference to FIGS.

[0035] Fig. 3 is a hardware configuration diagram of the mold management device 1. Fig. 4 is a block diagram of the mold management device 1.

[0036] 3 and 4 show the overall configuration of a die management system 100 that is configured by the die management device 1 and the press machine system 50 for ease of understanding.

[0037] 3, the mold management apparatus 1 includes a processor 5, a memory 6, and a network interface 7. The processor 5, the memory 6, and the network interface 7 are connected by a bus 8.

[0038] The network interface 7 connects the processor 5 and the memory 6 to an external device via a network 200, for example, the Internet, enabling communication with the external device. In detail, the network interface 7 is connected to a numerical control device 60 provided in the press machine 51, a controller (not shown) of the conveyor 52, a controller (not shown) of the robot 57, and a shape measuring machine 58.

[0039] The numerical control device 60 includes a memory 61 and a microprocessor 62. The memory 61 includes a numerical data storage unit 63 shown in FIG. 4. The microprocessor 62 shown in FIG. 3 executes a program stored in the memory 61 to implement a calculation unit 64 and a control unit 65 shown in FIG. 4, which are configured as software. The calculation unit 64 calculates the path of the table and the rotation angles of the upper turret 54 and the lower turret 56 from the numerical data stored in the numerical data storage unit 63. Meanwhile, the control unit 65 moves the table along the path calculated by the calculation unit 64, and rotates the upper turret 54 and the lower turret 56 at the rotation angles calculated by the calculation unit 64.

[0040] Returning to FIG. 3, when the numerical control device 60 having such a configuration is connected to the network interface 7, it becomes possible to send and receive data between the numerical control device 60 and the processor 5 and memory 6 via the network 200.

[0041] The processor 5 and the memory 6 constitute a computer. The mold management device 1 performs various processes for transmitting and receiving data to and from the numerical control device 60, the shape measuring machine 58, etc. by the processor 5 reading and executing various programs stored in the memory 6.

[0042] For example, the mold management device 1 reads out and executes the mold management program stored in the memory 6, thereby performing a mold life determination process for determining the mold life from the size of the burrs 301 on the scrap material 3 detected by the shape measuring machine 58. Furthermore, the mold management device 1 executes the mold management program, thereby performing a remaining processing count estimation process for estimating the remaining processing count of the mold from the size of the burrs 301 on the scrap material 3 detected by the shape measuring machine 58.

[0043] In order to perform the die life determination process and the remaining number of machining operations estimation process, the die management device 1 is provided with functional blocks configured as software shown in Fig. 4. In detail, the die management device 1 is provided with an acquisition unit 10, a threshold calculation unit 21, a determination unit 22, a learning unit 23, an estimation unit 24, and a transmission unit 30. The threshold calculation unit 21, the determination unit 22, the learning unit 23, and the estimation unit 24 are components of the calculation unit 20.

[0044] In order to obtain data used for determining the die lifespan, the acquisition unit 10 acquires size data of the burrs 301 of the scrap material 3 from the shape measuring machine 58 while the press machine system 50 is operating to perform punching. The acquisition unit 10 also acquires planar shape data of the scrap material 3 from the shape measuring machine 58. In detail, the shape measuring machine 58 transmits the measurement results each time it measures the size data and planar shape data of the burrs 301 of the scrap material 3. The acquisition unit 10 receives the size data of the burrs 301 of the scrap material 3 and the planar shape data of the scrap material 3 associated with that shape data.

[0045] In addition, when the acquisition unit 10 receives size data and planar shape data of the burrs 301 of the scrap material 3 from the shape measuring machine 58, it acquires scrap information data from the numerical control device 60 equipped in the press machine 51 in order to identify what type of processed material 2 and what type of mold was used to produce the scrap material 3 of that data.

[0046] Here, the scrap information data is data for identifying what kind of processed material 2 was used to produce the scrap material 3 and what kind of mold was used to produce it. FIG. 5 shows a diagram of the scrap information data 66.

[0047] FIG. 5 is a diagram showing an example of scrap information data 66 stored in the numerical data storage unit 63 provided in the press machine system 50 connected to the mold management device 1. As shown in FIG.

[0048] 5, the scrap information data 66 associates workpiece material information such as the material quality, thickness, and part number of the workpiece 2, die information such as the shape, size, and part number of the die, with scrap information including data on the standard shape and planar size of scrap generated by the workpiece material 2 and die. The scrap information data 66 is stored in a numerical data storage unit 63 provided in the press machine 51 shown in FIG. 4.

[0049] The acquiring unit 10 sends a command to the numerical control device 60 to read the scrap information data 66, causing the numerical control device 60 to read the scrap information data 66 from the numerical data storage unit 63 and transmit the read scrap information data 66 to the acquiring unit 10. As a result, the acquiring unit 10 acquires the scrap information data 66.

[0050] The acquisition unit 10 transmits the acquired size data of the burrs 301 of the scrap material 3, data on the planar shape, and scrap information data 66 to the determination unit 22 and the estimation unit 24.

[0051] On the other hand, the threshold calculation unit 21 is a part that calculates a threshold value used for judgment when performing a die life judgment process that judges the die life from the size of the burrs 301 of the scrap material 3. The threshold calculation unit 21 calculates the above-mentioned threshold value as preprocessing for performing the die life judgment process.

[0052] In detail, the mold management device 1 includes a threshold DB (database) storage unit 25 that stores a threshold database for calculating the threshold. To calculate the threshold, the threshold calculation unit 21 reads out the threshold database from the threshold DB storage unit 25. A diagram of the threshold database 250 is shown in FIG. 6.

[0053] FIG. 6 is a diagram showing an example of the threshold database 250 stored in the threshold DB storage unit 25 provided in the mold management device 1. As shown in FIG.

[0054] As shown in Fig. 6, in the threshold database 250, the workpiece material information and die information described in the scrap information data 66 are associated with data on the size of burrs 301 of each sample, where the sample is a plurality of scrap materials 3 formed by a die having the lifespan indicated in the lifespan information. Here, "0" in the lifespan information shown in Fig. 6 means that the die is new. Also, "1" in the lifespan information means that the die has reached the end of its lifespan.

[0055] The threshold calculation unit 21 reads data from the threshold database 250 and calculates the sample average of the size of the burrs 301 when the mold is new, for each combination of the workpiece material 2 and the mold specified by the workpiece material information and the mold information. Also, for each combination of the workpiece material 2 and the mold specified by the workpiece material information and the mold information, it calculates the sample average of the size of the burrs 301 when the mold has reached the end of its life. The threshold calculation unit 21 further uses a certain correction value to determine the threshold expressed by the following formula (1) for each combination of the workpiece material 2 and the mold specified by the workpiece material information and the mold information.

[0056]

number

[0057] The threshold calculation unit 21 creates threshold data by associating the obtained threshold with the workpiece material information and the mold information, and stores the created threshold data in the threshold data storage unit 26 provided in the mold management device 1 shown in Fig. 4. This completes the pre-processing for performing the mold life determination process. As a result, the determination unit 22 becomes able to determine the life of the mold from the size of the burrs 301 on the scrap material 3.

[0058] After the pre-processing by the threshold calculation unit 21 is completed, the determination unit 22 determines whether the die has reached the end of its life while the press machine system 50 is operating to perform punching.

[0059] In detail, the judgment unit 22 receives size data of the burrs 301 of the scrap material 3, planar shape data, and scrap information data 66 from the acquisition unit 10 for a certain period of time, and when a certain number of samples has been received, calculates the sample average from the size data of the burrs 301.

[0060] At this time, the determination unit 22 compares the standard shape and planar size of the scrap information data 66 received from the acquisition unit 10 with the planar shape of the scrap material 3, and identifies which combination of the workpiece material 2 and mold identified by the workpiece material information and mold information in the scrap information data 66 corresponds to the scrap material 3 of that planar shape. Then, the determination unit 22 calculates the sample average of the size of the burrs 301 for each combination of the workpiece material 2 and mold.

[0061] The judgment unit 22 reads out threshold data associated with the workpiece material information and mold information from the threshold data storage unit 26, and judges whether the sample average calculated for each combination of workpiece material 2 and mold specified by the workpiece material information and mold information exceeds the threshold corresponding to the same combination of workpiece material 2 and mold associated with that sample average.

[0062] If the sample average exceeds the threshold, the determination unit 22 determines that the mold of the mold information corresponding to that sample average has reached its lifespan. If the sample average does not exceed the threshold, the determination unit 22 determines that the mold of the mold information corresponding to the sample average has not yet reached its lifespan. The determination unit 22 then sends the determination result obtained for each combination of the workpiece material 2 and the mold to the transmission unit 30.

[0063] The transmitting unit 30 transmits the judgment result obtained for each combination of the workpiece material 2 and the die to the numerical control device 60 of the press machine 51 as index data for the timing of die replacement. As shown in FIG. 4, the press machine 51 is equipped with a display device 59 for displaying the device status. The numerical control device 60 displays the index data for the timing of die replacement transmitted from the transmitting unit 30 on the display device 59. In this way, the numerical control device 60 notifies the operator of the index data for the timing of die replacement. As a result, the operator can easily know the timing of die replacement.

[0064] In this way, the determination unit 22 performs die life determination processing together with the threshold calculation unit 21. On the other hand, the learning unit 23 and the estimation unit 24 are software blocks that perform remaining machining count estimation processing. Next, the configurations of the learning unit 23 and the estimation unit 24 will be described.

[0065] The learning unit 23 is a part that generates a trained model used when performing a remaining machining number estimation process that estimates the remaining machining number of a mold from the size of the burrs 301 of the scrap material 3. The learning unit 23 generates a trained model as a preprocessing for performing the remaining machining number estimation process.

[0066] In detail, the mold management device 1 includes a learning DB (database) storage unit 27 that stores a learning database 270 for generating a trained model. To generate a trained model, the learning unit 23 reads out the learning database 270 from the learning DB storage unit 27. The learning database 270 is shown in FIG. 7.

[0067] FIG. 7 is a diagram showing an example of the learning database 270 stored in the learning DB storage unit 27 provided in the mold management device 1. As shown in FIG.

[0068] As shown in Figure 7, in the learning database 270, the processed material information and mold information described in the scrap information data 66 are associated with the size of the burr 301 of the scrap material 3 formed with the mold having the remaining number of processing times shown in the remaining number of processing times column.

[0069] The learning unit 23 performs machine learning using the remaining number of processing times as the objective variable and the size of the burrs 301 of the scrap material 3 as the explanatory variable for each combination of the workpiece material 2 and the mold specified by the workpiece material information and the mold information read from the learning database 270, and generates a trained model for each combination of the workpiece material 2 and the mold. This machine learning preferably uses linear regression, but may also use other algorithms.

[0070] The learning unit 23 generates a trained model for each combination of the workpiece material 2 and the die identified by the workpiece material information and the die information, and then stores the parameters of the trained model for each combination in the trained data storage unit 28 provided in the die management device 1 shown in FIG. 4. This completes the preprocessing for the remaining cut count estimation process. As a result, the estimation unit 24 is able to estimate the remaining cut count of the die from the size of the burrs 301 on the scrap material 3.

[0071] After the pre-processing by the learning unit 23 is completed, the estimation unit 24 estimates how many times the die will be processed when the press machine system 50 is operating to perform punching.

[0072] In detail, the estimation unit 24 receives size data of the burrs 301 of the scrap material 3, data on the planar shape, and the scrap information data 66 from the acquisition unit 10. The estimation unit 24 compares the standard shape and planar size of the scrap information data 66 with the planar shape of the scrap material 3, and identifies which combination of the workpiece material 2 and mold identified by the workpiece material information and mold information of the scrap information data 66 corresponds to the scrap material 3 having that planar shape.

[0073] The estimation unit 24 reads out the parameters of the trained model corresponding to the identified combination of workpiece material 2 and die from the trained data storage unit 28, and reconstructs the trained model. The estimation unit 24 applies the size data of the burrs 301 of the scrap material 3 received from the acquisition unit 10 to the reconstructed trained model, and determines the remaining number of machining cycles of the die corresponding to the size data of the burrs 301. In this way, the estimation unit 24 estimates the remaining number of machining cycles of the die. At this time, the remaining number of machining cycles of multiple dies may be estimated from the size data of the burrs 301 of multiple scrap materials 3, and an average value may be calculated from the remaining number of machining cycles of the multiple dies, and the average value may be used as the remaining number of machining cycles of the die.

[0074] When the estimation unit 24 estimates the remaining number of times of machining of the mold, it transmits the remaining number of times of machining of the mold to the transmission unit 30. At this time, the estimation unit 24 transmits to the transmission unit 30 the remaining number of times of machining of the mold, as well as data on the combination of the workpiece material 2 and the mold that is estimated as the remaining number of times of machining.

[0075] When the transmitting unit 30 receives the data on the remaining number of times the die is to be processed and the estimated data on the combination of the workpiece material 2 and the die, the transmitting unit 30 transmits this data to the numerical control device 60 of the press machine 51 as another indicator data for the timing of die replacement. The numerical control device 60 causes the display device 59 to display the other indicator data for the timing of die replacement transmitted from the transmitting unit 30, in other words, the remaining number of times the die has to be processed for each die that generated the scrap material 3. In this way, the numerical control device 60 notifies the operator of the data that serves as an indicator of when it is time to replace the die. As a result, the operator can easily know the timing of die replacement.

[0076] The upper mold 53 and the lower mold 55 of the first embodiment described above are an example of a mold as defined in the present disclosure. The determination result by the determination unit 22 as to whether or not the mold has reached the end of its life is an example of a mold replacement timing indicator as defined in the present disclosure. The remaining number of machining operations of the mold estimated by the estimation unit 24 is also an example of a mold replacement timing indicator as defined in the present disclosure.

[0077] Furthermore, the size of the burrs 301, specifically the height of the burrs 301, is an example of the shape of the scrap material 3 as defined herein. The sample average of the size of the burrs 301 is an example of a first statistical quantity calculated from data on the shapes of multiple scrap materials 3 as defined herein. Alternatively, the sample average of the size of the burrs 301 is an example of a first average value as defined herein. Furthermore, the sample average of the size of the burrs 301 when the die is new is an example of a second statistical quantity calculated from data on the shapes of multiple scrap materials 3 when the die is in an unworn state as defined herein and the workpiece material is press-molded using the unworn die. Alternatively, the sample average of the size of the burrs 301 when the die is new is an example of a second average value as defined herein. Furthermore, the determination unit 22 and the estimation unit 24 are an example of a calculation unit as defined herein. The display device 59 is an example of a notification device as defined herein. The die management program is an example of a program as defined herein.

[0078] As described above, in the mold management device 1 according to the first embodiment, the determination unit 22 determines whether or not the mold has reached the end of its life based on the size data of the burrs 301 of the scrap material 3, and the transmission unit 30 displays the determination result on the display device 59 of the press machine 51. If the mold has reached the end of its life, this fact is displayed on the display device 59, so that the operator can easily know when to replace the mold.

[0079] Furthermore, in the die management device 1, the estimation unit 24 estimates the remaining number of machining cycles of the die based on size data of the burrs 301 of the scrap material 3, and the transmission unit 30 displays the remaining number of machining cycles of the die on the display device 59 of the press machine 51. Since the remaining number of machining cycles of the die is displayed on the display device 59, the operator can easily know when to replace the die.

[0080] (Variation 1) In the mold management device 1 according to the first embodiment, the determination result by the determination unit 22 as to whether the mold has reached the end of its life and the estimation result of the remaining number of times of machining of the mold by the estimation unit 24 are not associated with each other and are displayed independently on the display device 59. However, the first embodiment is not limited to this, and the determination result by the determination unit 22 as to whether the mold has reached the end of its life and the estimation result of the remaining number of times of machining of the mold by the estimation unit 24 may be associated with each other.

[0081] For example, when the determination result of the determination unit 22 as to whether the die has reached the end of its life is that the die has not yet reached its end of life, the estimation unit 24 may estimate the remaining number of machining times of the die. In this case, when the determination result of the determination unit 22 as to whether the die has reached its end of life is that the die has reached its end of life, the estimation unit 24 does not perform calculations, which allows for faster calculations.

[0082] Furthermore, after the estimation unit 24 has obtained an estimation result of the remaining number of machining cycles of the mold, the determination unit 22 determines whether the mold has reached its lifespan, and if the estimation result of the estimation unit 24 and the determination result of the determination unit 22 are not contradictory, the estimation result of the estimation unit 24 and the determination result of the determination unit 22 may be displayed on the display device 59. For example, if the estimation unit 24 estimates that the remaining number of machining cycles of the mold is 1 or more and the determination unit 22 determines that the mold has not yet reached its lifespan, the estimation result of the estimation unit 24 and the determination result of the determination unit 22 may be displayed on the display device 59.

[0083] (Variation 2) In the first embodiment, the threshold database 250 is stored in advance in the threshold DB storage unit 25, and the learning database 270 is stored in advance in the learning DB storage unit 27, but the acquisition unit 10 may acquire the threshold database 250 or the learning database 270 from the numerical control device 60 of the press machine 51. For example, data indicating the relationship between the die life determination result obtained by an experiment or the remaining number of machining times of the die and the size of the burr 301 may be input to the numerical control device 60 from an input device (not shown), and the acquisition unit 10 may acquire the data.

[0084] (Embodiment 2) In the mold management device 1 according to the first embodiment, the determining unit 22 and the estimating unit 24 use size data of the burrs 301 of the scrap material 3 to determine the lifespan of the mold and estimate the number of remaining machining times of the mold.

[0085] However, the determination unit 22 and the estimation unit 24 are not limited to this. The determination unit 22 and the estimation unit 24 may be any unit that determines the lifespan of a mold and estimates the number of remaining machining cycles of the mold using the shape data of the scrap material 3. For example, the determination unit 22 and the estimation unit 24 may use the shape data of the entire scrap material 3 and the shape data of a specific part. Here, the shape data includes size data such as length, width, and depth.

[0086] In the second embodiment, the determination unit 22 and the estimation unit 24 determine the lifespan of the die and estimate the number of remaining machining times of the die using the flatness of the scrap material 3. The only difference between the first embodiment and the second embodiment is that, whereas the measurement target of the shape measuring machine 58 is the size of the burrs 301 of the scrap material 3 in the first embodiment, the measurement target of the shape measuring machine 58 in the second embodiment is the flatness of the scrap material 3. For this reason, the flatness of the scrap material 3, which is the measurement target of the shape measuring machine 58, will be described below with reference to FIGS. 8 to 10.

[0087] Fig. 8 is a perspective view showing the flatness of scrap material 3. Fig. 9 is a perspective view of scrap material 3 having burrs 301 on the side of convexly bent plate surface 304. Fig. 10 is a perspective view of scrap material 3 having burrs 301 on the side opposite to convexly bent plate surface 309.

[0088] As shown in FIG. 8, the scrap material 3 has a plate shape that is bent convexly toward one plate surface due to a shear angle (not shown) formed on the tip surface of the die. The bending angle of the scrap material 3 increases as the die wear increases, resulting in an increase in shear stress. Furthermore, the variation in the bending angle of the scrap material 3 also increases as the shear stress increases. Therefore, in order to obtain information on the wear state of the die, the shape measuring machine 58 measures the flatness of the scrap material 3 instead of measuring the size of the burrs 301 described in the first embodiment. Alternatively, the shape measuring machine 58 measures the flatness of the scrap material 3 in addition to measuring the size of the burrs 301.

[0089] 8 , the shape measuring machine 58 determines the maximum tilt-type flatness by measuring the size of the smallest gap 308 between two parallel flat surfaces 306 and 307 when the scrap material 3 is sandwiched between them. In detail, the shape measuring machine 58 defines the surface of the stage 581 as the flat surface 306 and determines the flat surface 307 that is parallel to the surface of the stage 581 and has the smallest gap 308. In this way, the shape measuring machine 58 measures the flatness of the scrap material 3.

[0090] In measuring this flatness, the shape measuring machine 58 identifies the plate surface 304 on the side where the burr 301 protrudes in order to prevent the influence of the burr 301. It also identifies on which of the plate surfaces 304 and 309 the scrap material 3 is bent in a convex shape. Then, the shape measuring machine 58 corrects the flatness value obtained by measurement.

[0091] In detail, when the scrap material 3 is bent with the plate surface 304 on the side where the burr 301 protrudes as shown in Fig. 9 being convex, the burr 301 does not have much effect on the flatness measurement, but when the scrap material 3 is bent with the plate surface 309 on the opposite side to the side where the burr 301 protrudes as shown in Fig. 10 being convex, the flatness increases by the height H1 of the burr 301. Therefore, after the shape measuring machine 58 measures the shape of the scrap material 3 once, it drives the robot 57 to turn the scrap material 3 over and measure the shape of the scrap material 3 again. In this way, the shape measuring machine 58 obtains the shapes of two sides of the scrap material 3, the plate surface 304 side and the plate surface 309 side.

[0092] The shape measuring machine 58 determines the height of the protruding structure on the end surface for each of the measured shapes on the plate surface 304 side and the plate surface 309 side, and treats the higher of the determined protruding structures as the burr 301. The plate surface 304, 309 on which the higher protruding structure is located is designated as the surface from which the burr 301 protrudes. Furthermore, the shape measuring machine 58 determines which of the plate surfaces 304, 309 is bent convexly for each of the measured shapes on the plate surface 304 side and the plate surface 309 side. If the surface from which the burr 301 protrudes and the surface that is bent convexly do not match, for example, as shown in FIG. 10 , when the burr 301 protrudes toward the plate surface 304 side and the scrap material 3 is bent with the plate surface 309 side convexly, the shape measuring machine 58 corrects the flatness value by subtracting the value of the height H1 of the burr 301 from the flatness value obtained above. This allows the shape measuring machine 58 to obtain a more accurate flatness.

[0093] The flatness of the scrap material 3 to be measured may be the maximum inclined flatness or the maximum runout flatness, which is expressed by the maximum deviation from a plane passing through three points on the scrap material 3 as far apart as possible.

[0094] In this way, the shape measuring machine 58 measures the flatness of the scrap material 3 to obtain information for judging the wear state of the mold. Alternatively, the shape measuring machine 58 measures both the size of the burrs 301 and the flatness of the scrap material 3. In the mold management device 1 according to the second embodiment, the flatness of the scrap material 3 is used instead of the size of the burrs 301 in the mold life determination process and the remaining number of cutting cycles estimation process described in the first embodiment. Alternatively, the flatness of the scrap material 3 is used in addition to the size of the burrs 301. This makes it possible to determine the life of the mold caused by wear that increases shear stress. Also, it is possible to estimate the remaining number of cutting cycles of the mold when wear that increases shear stress occurs.

[0095] As described above, in the mold management device 1 according to the second embodiment, the determination unit 22 determines whether the mold has reached the end of its life based on the flatness data of the scrap material 3. Then, as in the first embodiment, the transmission unit 30 displays the determination result on the display device 59 of the press machine 51. As a result, as in the first embodiment, the operator can easily know when to replace the mold.

[0096] Furthermore, in the mold management device 1 according to the second embodiment, the estimation unit 24 estimates the remaining number of times of machining of the mold based on the flatness data of the scrap material 3. Then, similar to the first embodiment, the transmission unit 30 displays the remaining number of times of machining of the mold on the display device 59 of the press machine 51. As a result, similar to the first embodiment, the operator can easily know the timing of replacing the mold.

[0097] (Embodiment 3) In the mold management device 1 according to the first embodiment, the determination unit 22 determines the lifespan of the mold using a sample average of the size of the burrs 301 of the scrap material 3. In addition, in the mold management device 1 according to the second embodiment, the determination unit 22 determines the lifespan of the mold using a sample average of the flatness of the burrs 301 of the scrap material 3.

[0098] However, the determination unit 22 is not limited to these. The determination unit 22 may determine the lifespan of the mold using an unbiased variance of the size of the burrs 301 instead of the sample average of the size of the burrs 301 of the scrap material 3. Alternatively, the determination unit 22 may determine the lifespan of the mold using an unbiased variance of the flatness of the burrs 301 instead of the sample average of the flatness of the burrs 301 of the scrap material 3.

[0099] The determination unit 22 of the mold management device 1 according to the third embodiment determines the lifespan of the mold using the unbiased variance of the size of the burrs 301 of the scrap material 3. The determination unit 22 not only uses the unbiased variance of the size of the burrs 301 instead of the sample mean of the size of the burrs 301, but also differs from the first and second embodiments in the calculation method of the threshold value used for determination in the threshold value calculation unit 21. Therefore, the threshold value calculation unit 21 of the mold management device 1 according to the third embodiment will be described below.

[0100] The threshold calculation unit 21 of the mold management apparatus 1 according to the third embodiment reads data from the threshold database 250, as in the first embodiment. Then, for each combination of the workpiece material 2 and the mold specified by the workpiece material information and the mold information, the threshold calculation unit 21 calculates an unbiased variance of the size of the burrs 301 when the mold is new. Also, for each combination of the workpiece material 2 and the mold specified by the workpiece material information and the mold information, the threshold calculation unit 21 calculates an unbiased variance of the size of the burrs 301 when the mold has reached the end of its life. The threshold calculation unit 21 further uses a certain correction value to determine a threshold expressed by the following formula (2) for each combination of the workpiece material 2 and the mold specified by the workpiece material information and the mold information.

[0101]

number

[0102] In the third embodiment, as in the first embodiment, the threshold calculation unit 21 creates threshold data by associating the calculated threshold with the workpiece material information and the mold information, and stores the threshold data in the threshold data storage unit 26. Then, the determination unit 22 calculates an unbiased variance for each combination of workpiece material 2 and mold specified by the workpiece material information and mold information in the scrap information data 66, from the size data of the burrs 301 of the scrap material 3 received from the acquisition unit 10. Using the threshold data stored in the threshold data storage unit 26, the determination unit 22 determines whether the calculated unbiased variance exceeds the threshold corresponding to the same combination of workpiece material 2 and mold associated with the calculated unbiased variance. In this way, the determination unit 22 determines whether the mold has reached the end of its life.

[0103] The unbiased variance of the size of the burrs 301 is an example of a first statistical quantity calculated from data on the shapes of each of the multiple scrap materials 3 as defined in the present disclosure. Alternatively, the unbiased variance of the size of the burrs 301 is an example of a first unbiased variance value as defined in the present disclosure. Furthermore, the unbiased variance of the size of the burrs 301 when the die is new is an example of a second statistical quantity calculated from data on the shapes of each of the multiple scrap materials 3 when the die is in an unworn state as defined in the present disclosure and the workpiece material 2 is press-molded using the unworn die. Alternatively, the unbiased variance of the size of the burrs 301 when the die is new is an example of a second unbiased variance value as defined in the present disclosure.

[0104] As described above, in the third embodiment, the determination unit 22 determines the lifespan of the die using the unbiased variance of the size of the burrs 301 of the scrap material 3. As in the first embodiment in which the lifespan of the die is determined using the sample mean of the size of the burrs 301 of the scrap material 3, it is easy for the operator to know when to replace the die.

[0105] In the third embodiment, an example is described in which the determination unit 22 determines the lifespan of the mold using the unbiased variance of the size of the burrs 301, but the determination unit 22 may determine the lifespan of the mold using the unbiased variance of the flatness of the burrs 301. Furthermore, the determination unit 22 may use a sample mean of the size of the burrs 301 in addition to the unbiased variance of the size of the burrs 301. Furthermore, the determination unit 22 may use a sample mean of the flatness of the burrs 301 in addition to the unbiased variance of the flatness of the burrs 301.

[0106] The above describes the mold management device 1, mold management system 100, mold management method, and program according to the embodiments of the present disclosure, but the mold management device 1, mold management system 100, mold management method, and program are not limited to this.

[0107] In embodiments 1-3, the shape measuring machine 58 is a non-contact coordinate measuring machine equipped with an optical sensor 582. However, the mold management device 1 is not limited to this. In the mold management device 1, the acquisition unit 10 only needs to acquire data on the shape of the scrap material 3 generated when the mold punches out the workpiece material 2. Therefore, as long as this condition is met, any means can be used to measure the shape data of the scrap material 3. For example, the shape measuring machine 58 may be a contact-type coordinate measuring machine.

[0108] In embodiments 1-3, the threshold calculation unit 21 calculates the difference between (1) the sample mean or unbiased variance of the shape of the scrap material 3 when the die is new and (2) the sample mean or unbiased variance of the shape of the scrap material 3 when the die has reached the end of its life, and calculates a threshold from the calculated difference. However, the threshold calculation unit 21 is not limited to this. The threshold calculation unit 21 may calculate the threshold from the sample mean or unbiased variance of (1) above and the sample mean or unbiased variance of (2) above. For example, the threshold calculation unit 21 may use the difference between the sample mean or unbiased variance of (1) and (2) as the threshold. Alternatively, the threshold calculation unit 21 may use the ratio of the sample mean or unbiased variance of (1) to (2) as the threshold. In this case, the determination unit 22 may calculate the sample mean or unbiased variance of the shape of the scrap material 3 acquired from the acquisition unit 10, and further calculate the ratio of the calculated sample mean or unbiased variance to the sample mean or unbiased variance of (1) above. The determination unit 22 then determines whether the calculated ratio exceeds the threshold determined by the threshold calculation unit 21 from the ratio of the sample means or unbiased variances of (1) and (2).

[0109] Furthermore, in the first to third embodiments, the press machine 51 is a turret punch press machine, but the present invention is applicable to press machines 51 and press machine systems 50 that perform punching.

[0110] In the above embodiment, the mold management program is stored in the memory 61, but the mold management program may be stored and distributed on a computer-readable recording medium such as a flexible disk, a CD-ROM (Compact Disc Read-Only Memory), a DVD (Digital Versatile Disc), or an MO (Magneto-Optical Disc). In this case, the mold management program stored on the recording medium may be installed on a computer to configure the acquisition unit 10, calculation unit 20, and transmission unit 30 that execute the mold life determination process and the remaining machining count estimation process.

[0111] The mold management program may also be stored in a disk device of a server device on an Internet communication network, and the mold management program may be downloaded, for example, superimposed on a carrier wave.

[0112] The present disclosure allows various embodiments and modifications without departing from the broad spirit and scope of the present disclosure. Furthermore, the above-described embodiments are intended to explain the present disclosure and do not limit the scope of the present disclosure. That is, the scope of the present disclosure is defined by the claims, not the embodiments. Various modifications made within the scope of the claims and within the meaning of the disclosure equivalent thereto are considered to be within the scope of the present disclosure. (Appendix 1) an acquisition unit that acquires data on the shape of scrap material generated by punching the workpiece material with the die; a calculation unit that calculates a tool replacement timing index that indicates a timing for replacing the tool based on the data on the shape of the scrap material acquired by the acquisition unit; a transmitting unit that transmits the mold change timing index calculated by the calculation unit to a notification device; A mold management device comprising: (Appendix 2) the press machine equipped with the die generates a plurality of the scrap materials each time the workpiece is punched; The acquisition unit acquires shape data of each of the plurality of scrap materials for each punching process, The calculation unit includes a determination unit that calculates a first statistical amount from data on the shape of each of the plurality of scrap materials acquired by the acquisition unit, determines whether or not the die has reached its lifespan based on the calculated first statistical amount, and outputs the determination result to the notification device as the die replacement timing index when it is determined that the die has reached its lifespan. 10. The mold management device of claim 1. (Appendix 3) the determination unit determines a difference between the first statistical amount and a second statistical amount calculated from data on the shapes of each of a plurality of scrap materials when the workpiece material is press-molded by the die in an unworn state, and determines that the die has reached the end of its life when the determined difference is greater than a threshold value. 3. A mold management device as described in appendix 2. (Appendix 4) the first statistical amount is a first average value calculated from data on the shape of each of the plurality of scrap materials acquired by the acquisition unit, The second statistical amount is a second average value calculated from data on the shapes of each of a plurality of scrap materials when the die is in an unworn state and the workpiece material is press-molded using the unworn die. 4. A mold management device according to claim 3. (Appendix 5) the first statistical amount is a first unbiased variance value calculated from data on the shape of each of the plurality of scrap materials acquired by the acquisition unit, The second statistical quantity is a second unbiased variance value calculated from data on the shapes of each of a plurality of scrap materials when the die is in an unworn state and the workpiece material is press-molded using the unworn die. 4. A mold management device according to claim 3. (Appendix 6) The calculation unit has an estimation unit that estimates the remaining number of machining operations of the die based on the data on the shape of the scrap material acquired by the acquisition unit, and outputs the estimated remaining number of machining operations to the notification device as the die replacement timing index. 6. A mold management device according to any one of appendices 1 to 5. (Appendix 7) The estimation unit estimates the remaining number of machining operations using a trained model that has trained the remaining number of machining operations of the die for data on the shape of the scrap material. 7. A mold management device according to claim 6. (Appendix 8) The shape data of the scrap material is the protruding length of a burr. 8. A mold management device according to any one of appendices 1 to 7. (Appendix 9) The shape data of the scrap material is the flatness of the scrap material. 8. A mold management device according to any one of appendices 1 to 7. (Appendix 10) A mold management device according to any one of appendices 1 to 9; the notification device notifying the mold manager of the mold change timing indicator transmitted by the calculation unit; A mold management system equipped with: (Appendix 11) A step of acquiring data on the shape of scrap material generated by punching the workpiece material with the die; A step of determining a die replacement timing index that indicates the timing of replacing the die based on data on the shape of the scrap material; a step of notifying a manager of the mold of the mold change timing indicator; A mold management method comprising: (Appendix 12) On the computer, A step of acquiring data on the shape of scrap material generated by punching the workpiece material with the die; A step of determining a die replacement timing index that indicates the timing of replacing the die based on data on the shape of the scrap material; transmitting the mold change timing indicator to an alarm device; A program to execute. [Explanation of symbols]

[0113] 1 mold management device, 2 workpiece material, 3 scrap material, 5 processor, 6 memory, 7 network interface, 8 bus, 10 acquisition unit, 20 calculation unit, 21 threshold calculation unit, 22 judgment unit, 23 learning unit, 24 estimation unit, 25 threshold DB storage unit, 26 threshold data storage unit, 27 learning DB storage unit, 28 learned data storage unit, 30 transmission unit, 50 press machine system, 51 press machine, 52 conveyor, 53 upper mold, 54 upper turret, 55 lower mold, 56 lower turret, 57 robot, 58 shape measuring machine, 59 display device, 60 numerical control device, 61 memory, 62 microprocessor, 63 numerical data storage unit, 64 calculation unit, 65 control unit, 66 scrap information data, 100 mold management system, 200 network, 250 threshold database, 270 Training database, 301 burr, 302 root portion, 303 protruding end, 304 plate surface, 305 outer peripheral portion, 306, 307 flat surface, 308 gap, 309 plate surface, 521, 522 pulley, 523 belt, 581 stage, 582 optical sensor, H, H1 height.

Claims

1. A die management device for a plurality of dies that is provided in a press device that collectively discharges a plurality of scrap materials each time a single workpiece is punched, an acquisition unit that acquires data on the shape of the scrap material; a calculation unit that calculates a tool replacement timing index that indicates a timing for replacing the tool based on the data on the shape of the scrap material acquired by the acquisition unit; a transmitting unit that transmits the mold change timing index calculated by the calculation unit to a notification device; Equipped with The acquisition unit acquires data on the shape of each of the plurality of scrap materials discharged together after each punching process, When the shape data of each of the plurality of scrap materials acquired by the acquisition unit reaches a specific sample number within a certain period, the calculation unit identifies a corresponding combination of the plurality of dies from plan view data included in the shape data of each of the scrap materials, calculates a first statistical amount from the shape data of each of the scrap materials for each identified combination of dies, and obtains a difference between each of the calculated first statistical amounts and each of the second statistical amounts calculated for each combination of dies from the shape data of each of the plurality of scrap materials when the workpiece material is press-molded with the plurality of dies in an unworn state when the plurality of dies are in an unworn state, and further determines whether each of the obtained differences is greater than a corresponding threshold value, and when determined to be greater than the threshold value, treats the corresponding combination of dies as having reached the end of its life, and outputs the determination result to the alarm device as the die replacement timing indicator. Mold management device.

2. Each of the first statistics is a first average value for each combination of the molds calculated from data on the shape of each of the plurality of scrap materials acquired by the acquisition unit, Each of the second statistics is a second average value for each combination of the dies, calculated from data on the shapes of each of a plurality of scrap materials when the workpiece material is press-molded with the plurality of dies in an unworn state. The mold management device according to claim 1 .

3. Each of the first statistics is a first unbiased variance value for each combination of the molds calculated from data on the shape of each of the plurality of scrap materials acquired by the acquisition unit, Each of the second statistics is a second unbiased variance value for each combination of the dies, calculated from data on the shapes of each of a plurality of scrap materials when the workpiece material is press-molded with the plurality of dies in an unworn state. The mold management device according to claim 1 .

4. The calculation unit has an estimation unit that estimates the remaining number of machining operations of the corresponding combination of dies based on the data of each shape of the scrap material acquired by the acquisition unit, and outputs the estimated remaining number of machining operations to the notification device as the die replacement timing index. The mold management device according to any one of claims 1 to 3.

5. The estimation unit estimates the remaining number of times of machining using a trained model that has learned data on each of the shapes of the scrap material and the remaining number of times of machining for the corresponding combination of the die. The mold management device according to claim 4.

6. The shape data of the scrap material is the protruding length of a burr. The mold management device according to any one of claims 1 to 3.

7. The shape data of the scrap material is the flatness of the scrap material. The mold management device according to any one of claims 1 to 3.

8. The mold management device according to any one of claims 1 to 3; the notification device notifying the mold manager of the mold change timing indicator transmitted by the calculation unit; A mold management system equipped with:

9. A die management method for a plurality of dies provided in a press device that collectively discharges a plurality of scrap materials each time a single workpiece is punched, comprising: A step of acquiring data on the shape of scrap material generated by punching the workpiece material with the die; A step of determining a die replacement timing index that indicates the timing of replacing the die based on data on the shape of the scrap material; a step of notifying a manager of the mold of the mold change timing indicator; Equipped with In the step of acquiring data on the shape of the scrap material, data on the shape of each of the plurality of scrap materials discharged together after each punching process is acquired; In the step of determining the die replacement timing index, when the acquired shape data for each of the plurality of scrap materials reaches a specific sample number within a certain period, a corresponding combination of the plurality of dies is identified from plan view data included in the shape data for each of the scrap materials, a first statistical amount is calculated from the shape data for each of the scrap materials for each of the determined combinations of dies, and a difference between each of the calculated first statistical amounts and each of the second statistical amounts calculated for each of the combinations of dies from the shape data for each of the plurality of scrap materials when the workpiece material is press-molded with the plurality of dies in an unworn state when the plurality of dies are in an unworn state is determined, and further, for each of the determined differences, it is determined whether or not the difference is greater than a corresponding threshold value, and if it is determined that the difference is greater than the threshold value, the corresponding combination of dies is treated as having reached the end of its life, and the determination result is used as the die replacement timing index. Mold management methods.

10. A computer used for die management of a plurality of dies provided in a press device that discharges a plurality of scrap materials at once each time a single workpiece is punched, A step of acquiring data on the shape of scrap material generated by punching the workpiece material with the die; A step of determining a die replacement timing index that indicates the timing of replacing the die based on data on the shape of the scrap material; transmitting the mold change timing indicator to an alarm device; A program for executing In the step of acquiring data on the shape of the scrap material, data on the shape of each of the plurality of scrap materials discharged together after each punching process is acquired; In the step of determining the die replacement timing index, when the acquired shape data for each of the plurality of scrap materials reaches a specific sample number within a certain period, a corresponding combination of the plurality of dies is identified from plan view data included in the shape data for each of the scrap materials, a first statistical amount is calculated from the shape data for each of the scrap materials for each of the determined combinations of dies, and a difference between each of the calculated first statistical amounts and each of the second statistical amounts calculated for each of the combinations of dies from the shape data for each of the plurality of scrap materials when the workpiece material is press-molded with the plurality of dies in an unworn state when the plurality of dies are in an unworn state is determined, and further, for each of the determined differences, it is determined whether or not the difference is greater than a corresponding threshold value, and if it is determined that the difference is greater than the threshold value, the corresponding combination of dies is treated as having reached the end of its life, and the determination result is used as the die replacement timing index. program.

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