JP2023170138A - Injection molding machine management system and injection molding machine - Google Patents

Abstract

To provide an injection molding machine management system including a plurality of injection molding machines and capable of easily comparing data related to injection molding processing of different injection molding machines.SOLUTION: A management system 1 includes an injection molding machine 100 and injection molding machines 200 to 500 similar to the injection molding machine 100. The management system 1 includes an operation panel 30 and a control device 40. The control device 40 acquires first data related to injection molding processing of the injection molding machine 100, acquires second data related to injection molding processing of the injection molding machine 200 as a comparison target for the first data, and displays the first data and the second data on the operation panel 30 in a comparable manner.SELECTED DRAWING: Figure 5

Description

The present disclosure relates to a management system for an injection molding machine and an injection molding machine.

There are factories that use multiple injection molding machines to mass-produce identical or similar products. As an example of a system that introduces such a plurality of injection molding machines, there is an injection molding system disclosed in Patent Document 1 (Japanese Patent Laid-Open No. 2021-45876).

Each of the plurality of injection molding machines disclosed in Patent Document 1 is equipped with a touch panel. The operator checks the image of the molded product of the injection molding machine, inputs molding conditions, etc. by operating the touch panel.

JP2021-45876A

In such a system that includes multiple injection molding machines, if a defective product is molded from one injection molding machine, the condition of the injection molding machine that molded the defective product and the other injection molding machines that molded the non-defective product are The cause of defective product molding can be analyzed by comparing the condition of the machine.

However, in order to compare the status of two injection molding machines, it is necessary to separately acquire data related to the injection molding process from the two injection molding machines, which is a complicated task for the user. Ta. More specifically, the user had to operate the touch panels of both the injection molding machine that molded the defective product and the other injection molding machine that molded the non-defective product.

The present disclosure has been made to solve such problems, and the purpose is to control the injection molding process from one injection molding machine to another injection molding machine in a management system including multiple injection molding machines. An object of the present invention is to provide an injection molding machine management system that allows comparison of related data.

The injection molding machine according to the present disclosure acquires first data related to the injection molding process of the first injection molding machine, and uses second data related to the injection molding process of the second injection molding machine as a comparison target for the first data. Data is acquired, and the first data and the second data are displayed on a display device in a comparable manner.

According to the injection molding machine management system according to the present disclosure, data related to injection molding processes of different injection molding machines can be compared among a plurality of injection molding machines.

1 is a diagram showing a management system for an injection molding machine in Embodiment 1. FIG. 1 is an external view of an injection molding machine in Embodiment 1. FIG. FIG. 1 is a schematic block diagram of an injection molding machine. 6 is a diagram showing a flowchart of comparison display processing in the first embodiment. FIG. It is a figure which shows an example of the screen which comparatively displayed the waveform data regarding an injection process. This is a modified example of a screen that compares and displays waveform data related to the injection process. 7 is a diagram showing a flowchart of comparison display processing in Embodiment 2. FIG. This is an example of a screen on which input parameters are compared and displayed. This is an example of a screen that compares and displays the temperatures set for the heaters arranged in the heating cylinder. 7 is a diagram showing a flowchart of comparison display processing in Embodiment 3. FIG. FIG. 2 is a diagram for explaining an example of adjusting input parameters using a learned model obtained by machine learning.

Embodiments of the present disclosure will be described in detail below with reference to the drawings. In addition, the same reference numerals are attached to the same or corresponding parts in the drawings, and the description thereof will not be repeated.

[Embodiment 1]
<Injection molding machine management system>
In the following, a management system 1 for an injection molding machine according to the first embodiment will be explained using FIG. FIG. 1 is a diagram showing a management system 1 for an injection molding machine according to the first embodiment. As shown in FIG. 1, the injection molding machine management system 1 in the first embodiment includes five injection molding machines shown as injection molding machines 100 to 500. Each of the injection molding machines 100 to 500 is connected to each other via a network NW. Injection molding machines 100 to 500 are of the same type.

Note that the number of injection molding machines included in the injection molding machine management system 1 of the first embodiment is not limited to five, but may include two or more injection molding machines. In addition, all of the injection molding machines 100 to 500 may not be of the same model, and some of the injection molding machines 100 to 500 may be, for example, test injection molding machines or old-style injection molding machines. A similar injection molding machine may be included.

For example, injection molding machines 100-500 may be fitted with different types of molds. As shown in FIG. 1, the mold attached to injection molding machine 100 has a shape S1. The mold attached to injection molding machine 200 has a shape S2. The mold attached to injection molding machine 300 has a shape S3. The mold attached to injection molding machine 400 has a shape S1. The mold attached to injection molding machine 500 has a shape S1.

Additionally, different types of injection materials may be used in the injection molding machines 100-500. The injection material used in the injection molding machine 100 is resin R1. The injection material used in the injection molding machine 200 is resin R1. The injection material used in the injection molding machine 300 is resin R1. The injection material used in the injection molding machine 400 is resin R1. The injection material used in the injection molding machine 500 is resin R2.

As described above, in the management system 1 according to the first embodiment, injection molding processing is performed using various molds and injection materials. The same mold shape S1 is attached to the injection molding machine 100 and the injection molding machine 400, and the same resin R1 is used as the injection material. Furthermore, each of the injection molding machines 100 to 500 includes a storage device, which will be described later. A storage device included in each of the injection molding machines 100 to 500 stores the type of mold and the type of injection material each uses. When the type of mold and the type of injection material used are changed, the user updates the type of mold and the type of injection material stored in each storage device.

<Configuration of injection molding machine>
Injection molding machine 100 in Embodiment 1 will be described below using FIG. 2. FIG. 2 is an external view of injection molding machine 100 in the first embodiment. In FIG. 2, the configuration of the injection molding machine 100 will be explained, but the injection molding machines 200 to 500 also have the same configuration as the configuration explained in FIG.

Injection molding machine 100 is placed on the XY plane. The direction perpendicular to the XY plane is defined as the Z-axis direction. Hereinafter, the positive direction of the Z axis in FIG. 1 may be referred to as the upper side or upper side, and the negative direction may be referred to as the lower side or lower side. Although the injection molding machine 100 in the first embodiment is shown as a horizontal injection molding machine, it is not limited to the horizontal type, and may be a vertical injection molding machine.

The injection molding process performed by the injection molding machine 100 includes a mold clamping process, an injection process, a pressure holding process, a cooling process, a mold opening process, an ejection process, and a plasticizing process. The injection molding machine 100 repeatedly executes the above injection molding process cycle. The injection molding machine 100 includes a mold clamping device 10 that clamps a mold, an injection device 20 that melts and injects the injection material, an operation panel 30, and a control device 40. The mold clamping device 10 is arranged on the negative side of the X-axis with respect to the injection device 20.

<About the mold clamping device>
The mold clamping device 10 includes a bed 11, a fixed platen 12, a mold clamping housing 13, a movable platen 14, a tie bar 15, a mold clamping mechanism 16, molds 17 and 18, and a ball screw 19. The bed 11 holds the components of the mold clamping device 10, such as a fixed platen 12, a mold clamping housing 13, and a movable platen 14. The fixed platen 12 is fixed to the bed 11. The mold clamping housing 13 is configured to be slidable on the bed 11 in the X-axis direction. Similarly, the movable platen 14 is configured to be slidable on the bed 11 in the X-axis direction.

The tie bar 15 is arranged between the fixed platen 12 and the mold clamping housing 13, and connects the fixed platen 12 and the mold clamping housing 13. The tie bar 15 includes a plurality of bars, and the injection molding machine 100 in the first embodiment includes four bars as the tie bar 15. In some aspects, tie bar 15 may include five or more bars.

The movable platen 14 is configured to be slidable in the X-axis direction between the fixed platen 12 and the mold clamping housing 13. The mold clamping mechanism 16 is provided between the mold clamping housing 13 and the movable platen 14. The mold clamping housing 13 in the first embodiment is configured to include a toggle mechanism. Note that the mold clamping mechanism 16 may include a direct pressure type mold clamping mechanism. The direct pressure type clamping mechanism means a clamping cylinder.

The mold 17 is fixed to the fixed platen 12. Furthermore, the mold 18 is fixed to the movable platen 14. The molds 17 and 18 are provided between the fixed platen 12 and the movable platen 14. The molds 17 and 18 are configured to be opened and closed by driving the mold clamping mechanism 16. The process of moving the molds 17 and 18 from a state in which they are separated to a state in which they are in close contact with each other is called "mold clamping." Further, the process of moving the molds 17 and 18 from a state in which they are in close contact to a state in which they are separated from each other is referred to as "mold opening." The servo motor 81 is a motor used in the mold clamping process and the mold opening process. The ball screw 19 opens and closes the mold clamping mechanism 16 by converting rotational motion into linear motion.

The injection molding machine 100 performs a process called "ejection" after the mold opening process. The ejection process is a process of removing the injection material such as resin that has been filled into the molds 17 and 18 and then solidified from the molds 17 and 18. The servo motor 82 is a motor used for the ejection process.

<About the injection device>
The injection device 20 includes a base 21, a heating cylinder 22, a screw 23, a drive device 24, a hopper 25, an injection nozzle 26, a nozzle touch device 27, and heaters 29A to 29C. The base 21 is arranged on the positive side of the X-axis of the bed 11 and holds the drive device 24 and the like. The drive device 24 includes servo motors 83 and 84 inside. A control device 40 is included inside the base 21 .

The screw 23 is housed inside the heating cylinder 22. A servo motor 83 within the drive device 24 rotates the screw 23 with the X-axis direction as the central axis. That is, the servo motor 83 is a motor used in the plasticizing process. The plasticizing process is a process of kneading the resin to be injected by heating with the heating cylinder 22 and rotating the screw 23.

Driven by the servo motor 84, the screw 23 slides in the X-axis direction. That is, the servo motor 84 is a motor used in the injection process or the pressure holding process. The injection process is a process of injecting the resin plasticized by the plasticization process into the molds 17 and 18. The pressure holding process is a process of holding pressure in order to hold the resin injected in the injection process within the molds 17 and 18. The injection process is a process in which the injection material that will become the base material of the molded product is poured into a mold, so it has a greater influence on the quality of the molded product than other processes. In other words, in a typical injection molding process, the injection process causes defective products to be molded more frequently than other processes.

The hopper 25 is a container that holds an injection material such as a resin before being plasticized, and is provided on the positive side of the Z-axis of the heating cylinder 22. The injection nozzle 26 is provided at the end of the heating cylinder 22 on the negative side of the X-axis. The nozzle touch device 27 is configured by, for example, a mechanism using a hydraulic cylinder or a mechanism using a ball screw. The nozzle touch device 27 connects the drive device 24 in the injection device 20 and the fixed platen 12 in the mold clamping device 10. When the nozzle touch device 27 is configured by a mechanism using a ball screw, the nozzle touch device 27 is driven by a servo motor in the drive device 24 to move the drive device 24 and the heating cylinder 22 in the X-axis direction. let

Note that the configuration of the nozzle touch mechanism is not limited to the configuration in which the entire injection device 20 is moved by a ball screw disposed between the fixed platen 12 and the drive device 24 as described above, but may have other configurations. Good too. For example, the device frame and the fixing member at the rear of the heating cylinder 22 may be connected using a ball screw, and the heating cylinder 22 itself may be moved toward the mold. Alternatively, the configuration of the nozzle touch mechanism is such that the slide base on which the injection device 20 is mounted and the device frame are connected using a ball screw, and the injection device 20 is moved together with the slide base to bring the injection nozzle 26 into contact with the mold. It may be a configuration.

The nozzle touch device 27 slides the injection device 20 in the X-axis direction to bring the injection nozzle 26 into contact with the mold 18 . The heaters 29A to 29C heat the heating cylinder 22. The heaters 29A to 29C are arranged in the order of heaters 29A, 29B, and 29C from the negative side of the X-axis.

The operation panel 30 is provided on the negative side of the Y-axis of the injection molding machine 100. The operation panel 30 may be provided separately from the injection molding machine 100. The operation panel 30 includes a display 31 and an input device 32. Input device 32 includes, for example, a plurality of buttons. In some aspects, operation panel 30 may include multiple displays and speakers. Further, the display 31 and the input device 32 may be integrally provided as a touch panel.

The control device 40 includes a CPU, memory, and the like. The control device 40 acquires detection values of various sensors and controls the injection molding machine 100 in an integrated manner. The detected values of various sensors include, for example, temperature information of the heating cylinder 22, position information of various movable parts such as the mold clamping mechanism 16, molds 17 and 18, and injection nozzle 26, temperature information of a servo amplifier (not shown), etc. . Note that, like the operation panel 30, the control device 40 may also be provided separately from the injection molding machine 100.

<Schematic block diagram of injection molding machine>
FIG. 3 is a schematic block diagram of the injection molding machine 100. As shown in FIG. 3, the injection molding machine 100 according to the first embodiment includes a pressure sensor 28A, a torque sensor 28B, a speed sensor 28C, heaters 29A to 29C, an operation panel 30, a control device 40, It includes servo motors 81 to 84.

The control device 40 includes a control section 41, an input interface 42, an output interface 43, and a storage device 44. The control unit 41 includes a CPU 41a and a memory 41b.

The CPU 41a expands a program stored in a ROM (Read Only Memory) into a RAM (Random Access Memory) and executes the program. The memory 41b includes a ROM and a RAM, and stores programs and the like executed by the CPU 41a.

In one aspect, the control unit 41 may be configured by a dedicated hardware circuit. That is, the control unit 41 can be realized by an ASIC (Application Specific Integrated Circuit), an FPGA (Field-Programmable Gate Array), or the like. Further, the control unit 41 may be realized by appropriately combining a processor, memory, ASIC, FPGA, etc. The storage device 44 may be configured to include, for example, an HDD (Hard Disk Drive) or an SSD (Flash Solid State Drive).

The control unit 41 is connected to the network NW via an input interface 42 and an output interface 43. Furthermore, the control unit 41 can connect to the injection molding machines 200 to 500 (see FIG. 1) via the network NW and acquire data included in the injection molding machines 200 to 500. Further, the control unit 41 is connected to the heaters 29A to 29C arranged in the heating cylinder 22, the servo motors 81 to 84, and the operation panel 30 via an output interface 43.

The control unit 41 is connected to a pressure sensor 28A, a torque sensor 28B, and a speed sensor 28C via an input interface 42. The pressure sensor 28A detects the pressure of the injection material injected by the servo motor 84. The control unit 41 acquires the pressure occurring in the injection material as a detection value of the pressure sensor 28A. The pressure sensor 28A is, for example, a load cell.

Torque sensor 28B detects the torque generated in servo motor 84. Further, the speed sensor 28C detects the injection speed of the injection material injected by the servo motor 84. The control unit 41 acquires the detection value of the torque sensor 28B and the detection value of the speed sensor 28C. Torque sensor 28B is, for example, a current sensor. The speed sensor 28C is, for example, an encoder provided on the servo motor 84.

The control unit 41 can generate waveform data based on detected values of various sensors including the pressure sensor 28A, torque sensor 28B, and speed sensor 28C, which are received via the input interface 42. Waveform data is data that shows changes in detected values of various sensors in time series. For example, the control unit 41 generates waveform data for each cycle of the injection molding process based on changes in the detected values of the pressure sensor 28A, torque sensor 28B, and speed sensor 28C, and stores the waveform data in the storage device 44. That is, the storage device 44 stores waveform data indicating changes in detection values of various sensors for each cycle.

The pressure sensor 28A, the torque sensor 28B, and the speed sensor 28C are sensors related to driving the servo motor 84 for injection. That is, the detected values of the pressure sensor 28A, torque sensor 28B, and speed sensor 28C change as the injection servo motor 84 is driven. The state of the injection molding machine 100 detected by the pressure sensor 28A, the torque sensor 28B, and the speed sensor 28C is related to the injection process, which has a large influence on the quality of the molded product. Note that the control unit 41 receives detection values and feedback signals from not only the pressure sensor 28A, torque sensor 28B, and speed sensor 28C but also various sensors via the input interface 42, and Waveform data can be generated based on sensors other than 28C.

<Comparison display processing>
Injection molding machine 100 in the first embodiment acquires waveform data from any one of injection molding machines 200 to 500, and displays it on display 31 in a manner that can be compared with the waveform data of injection molding machine 100. Hereinafter, the process of displaying data included in injection molding machine 100 and data included in any of injection molding machines 200 to 500 for comparison will be simply referred to as "comparison display process."

The comparison display process is executed, for example, when a defective product occurs in the molded product molded by the injection molding machine 100. The user can operate the injection molding machine 100 in which the defective product was molded and compare the waveform data of the injection molding machine 100 with the waveform data of any of the injection molding machines 200 to 500. This allows the user to analyze the reason why the injection molding machine 100 molded a defective product. The comparison display process will be specifically explained below using FIGS. 4 and 5.

FIG. 4 is a diagram showing a flowchart of comparison display processing in the first embodiment. In the example of FIG. 4, the waveform data of the injection molding machine 200 is the comparison target. The control unit 41 determines whether a command for comparison display processing has been received from the user (step S110). The injection molding machine 100 receives, for example, an instruction to execute a comparison display process via the operation panel 30. If a comparison display processing command has not been received from the user (NO in step S110), the control unit 41 repeats the processing in step S110.

When receiving a command for comparison display processing from the user (YES in step S110), the control unit 41 acquires waveform data regarding the injection process of the injection molding machine 100 (step S120). The control unit 41 acquires, for example, waveform data in the most recent injection molding process from among the waveform data related to the injection process in the storage device 44 .

Subsequently, the control unit 41 acquires waveform data regarding the injection process of the injection molding machine 200 (step S130). The control unit 41 acquires waveform data regarding the injection process of the injection molding machine 200 as a comparison target via the network NW. The control unit 41 acquires waveform data of the injection molding machine 200 in the most recent injection molding process. Note that the control unit 41 of the injection molding machine 100 selects one of the injection molding machines 300, 400, and 500 as a comparison target among the injection molding machines 200 to 500, if it is an injection molding machine that has not molded defective products. It's okay to be.

For example, the control unit 41 may determine which injection molding machine among the injection molding machines 200 to 500 is to be compared based on a command from the user. Finally, the control unit 41 displays the waveform data acquired in step S120 and the waveform data acquired in step S130 in a manner that allows comparison (step S140), and ends the process.

FIG. 5 is a diagram showing an example of a screen DS1 on which waveform data related to the injection process are displayed for comparison. FIG. 5 shows a screen DS1 displayed on the display 31 of the operation panel 30. At the top of the screen DS1, buttons 50S to 56S for switching the content displayed on the display 31 are arranged.

As shown in FIG. 5, in the center of the screen DS1, waveform data D100 regarding the injection process of the injection molding machine 100 and waveform data D200 regarding the injection process of the injection molding machine 200 are displayed side by side. The shape of the waveform indicated by the waveform data D100 is different from the shape of the waveform indicated by the waveform data D200.

A user viewing the screen DS1 in FIG. 5 can recognize that the torque of the injection molding machine 100 that molds defective products is greater than the torque of the injection molding machine 200 that does not mold defective products. Further, the user can recognize that the pressure of the injection molding machine 100 is higher than the pressure of the injection molding machine 200. This allows the user to infer that a defective product is being molded due to an excessive increase in torque and pressure, and changes the input parameters to reduce the torque and pressure of the injection molding machine 100. can be adjusted.

In this way, in the management system 1, by displaying the two waveform data side by side on the operation panel 30 of the injection molding machine 100 through the comparison display process, the operation panel 30 of the injection molding machine 100 and the operation panel of the injection molding machine 200 can be displayed side by side. It is possible to easily compare two waveform data without having to operate both 30 and 30 to obtain data. That is, in the management system 1 including a plurality of injection molding machines 100 to 500, data related to injection molding processes of different injection molding machines 100 and 200 can be easily compared.

Further, the waveform data compared in the first embodiment is data related to an injection process that has a large influence on the quality of the molded product. Thereby, the injection molding machine 100 can display to the user data that is likely to be associated with the cause of defective product molding.

FIG. 6 is a screen DS1-1 as a modification of the screen DS1, which comparatively displays waveform data related to the injection process. As shown in FIG. 6, the waveform data D100 and the waveform data D200 may be displayed overlapping each other. That is, the operation panel 30 displays the waveform data D200 superimposed on the waveform data D100. In FIG. 6, the broken line indicates waveform data D200, and the solid line indicates waveform data D100. In this way, in the management system 1, by displaying the waveform data D100 and D200 in an overlapping manner, it is made easier to compare the waveform data D100 and the waveform data D200.

In Embodiment 1, injection molding machine 100 may correspond to a "first injection molding machine" in the present disclosure. Injection molding machine 200 may correspond to a "second injection molding machine" in the present disclosure. Waveform data D100 may correspond to "first data" in the present disclosure. Waveform data D200 may correspond to "second data" in the present disclosure.

[Embodiment 2]
In the comparison display process of the first embodiment, an example of comparing and displaying waveform data related to an injection process has been described. However, data useful for analyzing the cause of defective product molding is not limited to waveform data related to the injection process. In the second embodiment, an example will be described in which input parameters are displayed in addition to waveform data. In the second embodiment, descriptions of the same configurations as in the first embodiment will not be repeated.

The input parameters are values set in each of the injection molding machines 100 to 500 as molding conditions in order to perform injection molding processing in the injection molding machines 100 to 500. For example, the input parameters include the torque generated by the servo motor 84, the pressure of the injection material injected by the servo motor 84, and the injection speed. The control unit 41 drives the servo motor 84 according to the input parameters. That is, the control unit 41 drives the servo motor 84 to match the torque, injection material pressure, and injection speed set as input parameters.

FIG. 7 is a diagram showing a flowchart of comparison display processing in the second embodiment. The control unit 41 determines whether a command for comparison display processing has been received from the user (step S210). If a comparison display processing command has not been received from the user (NO in step S210), the control unit 41 repeats the processing in step S210. When receiving a command for comparison display processing from the user (YES in step S210), the control unit 41 acquires input parameters in addition to waveform data regarding the injection process of the injection molding machine 100 (step S220).

Subsequently, the control unit 41 acquires input parameters in addition to waveform data regarding the injection process of the injection molding machine 200 (step S230). Finally, the control unit 41 displays the waveform data acquired in step S220, the waveform data acquired in step S230, and the input parameters in a manner that allows comparison (step S240), and ends the process.

FIG. 8 is an example of a screen DS2 on which input parameters are displayed for comparison. FIG. 8 shows an input parameter P100 set to the injection molding machine 100 and an input parameter P200 set to the injection molding machine 200.

Injection molding machine 100 according to the second embodiment displays waveform data and input parameters on different screens. On the left side of the screen DS2, a button Bt2 is arranged in addition to the button Bt1. The words "waveform data" are shown on the button Bt1. The text "parameter" is shown on the button Bt2. The control unit 41 switches from the screen DS2 to the screen DS1 shown in the first embodiment in response to the button Bt1 being selected by the user. Furthermore, the control unit 41 switches from the screen DS1 to the screen DS2 in response to the button Bt2 being selected by the user. That is, the control unit 41 switches the display screen between the screen DS1 and the screen DS2 using the buttons Bt1 and Bt2. Note that the control unit 41 may switch the display screen between the screen DS1-1 and the screen DS2 using the buttons Bt1 and Bt2.

As shown in FIG. 8, parameter items Pr1 to Pr6 are set in the injection molding machines 100 and 200. Parameter item Pr1 indicates the injection period. The injection period is the period during which the injection process is performed. Parameter item Pr2 is the injection speed of the servo motor 84 in the injection process. Parameter item Pr3 is the pressure generated in the injection material during the injection process.

Parameter item Pr4 indicates the pressure holding period. The pressure holding period is a period during which the pressure holding process is performed. Parameter item Pr5 is the injection speed of the servo motor 84 in the pressure holding process. Parameter item Pr6 is the pressure generated in the injection material during the pressure holding process.

In the injection molding machine 100, in the injection process, the injection period is set to ``5 s'', the speed is set to ``40 mm/s'', and the pressure is set to ``15 MPa'', and in the holding pressure process, the holding period is set to ``4 s'', and the speed is set to The pressure is set to "1 mm/s" and the pressure is set to "20 MPa." On the other hand, in the injection molding machine 200, in the injection process, the injection period is set to "5s", the speed is set to "40mm/s", and the pressure is set to "10MPa", and in the pressure-holding process, the pressure-holding period is set to "4s". , the speed is set to "1 mm/s", and the pressure is set to "20 MPa".

In the example shown in FIG. 8, the same values are set for parameter items Pr1, Pr2, Pr4, Pr5, and Pr6 other than pressure in the injection process. On the other hand, in the injection molding machine 100, "15 MPa" is set as the pressure in the injection process, and in the injection molding machine 200, "10 MPa" is set as the pressure in the injection process. That is, the difference between the value of parameter item Pr3 set in injection molding machine 100 and the value of parameter item Pr3 set in injection molding machine 200 is "5 MPa".

In the second embodiment, if the difference in the value set as a parameter between the injection molding machine 100 and the injection molding machine 200 is outside a specified range, the control unit 41 sets the value as the parameter. Highlight the value. As shown in FIG. 8, the value of parameter item Pr3 in the injection molding machine 100 is highlighted and displayed. The prescribed range is set by the user for each parameter item, and for parameter item Pr3, for example, "±1 MPa" is set. That is, the parameter item Pr3 indicates that the difference between the injection molding machine 100 and the injection molding machine 200 is "5 MPa", which exceeds the prescribed range of "±1 MPa", so the control unit 41 8, the parameter item Pr3 of the injection molding machine 100 is highlighted.

The control unit 41 does not highlight the parameter items Pr1, Pr2, Pr4, Pr5, and Pr6 because the parameter values between the injection molding machine 100 and the injection molding machine 200 are within the specified range. , is displayed in normal mode. As a result, the user can easily understand the parameter items for which different values beyond the specified range are set between the injection molding machine 100 and the injection molding machine 200. Process pressure can be adjusted to a lower level.

However, even if the pressure in the injection process in injection molding machine 100 is adjusted to a small value and set to the same value as in injection molding machine 200, the pressure shown in waveform data D100 may not be sufficiently reduced. As shown in FIG. 8, among the buttons 50S to 56S, button 51S and button 56S are highlighted. In this way, the control unit 41 highlights the button that transitions to a screen where there is a parameter with a different value set beyond the specified range.

FIG. 9 is an example of a screen DS3 that comparatively displays the temperatures set for the heaters 29A to 29C arranged in the heating cylinder 22. FIG. 9 shows an input parameter P110 set to the injection molding machine 100 and an input parameter P210 set to the injection molding machine 200. In the injection molding machine 100, the heater 29A is set to "33.0°C", the heater 29B is set to "29.0°C", and the heater 29C is set to "30.0°C". ing. In the injection molding machine 200, the heater 29A is set to 29.0°C, the heater 29B is set to 29.0°C, and the heater 29C is set to 30.0°C. ing.

The difference between the set temperature of heater 29A in injection molding machine 100 and the set temperature of heater 29A in injection molding machine 200 is "4°C". The control unit 41 is set to highlight when the difference from the set temperature of the heater 29A exceeds "±3°C." Thereby, the user can easily understand that the set temperature of the heater 29A between the injection molding machine 100 and the injection molding machine 200 is set to a value that exceeds the specified range.

Furthermore, even though the user adjusted the pressure in the injection process between injection molding machine 100 and injection molding machine 200, the pressure of injection molding machine 100 shown as waveform data was lower than the pressure of injection molding machine 200. It can be inferred that the cause of the increase is the heating of the injection material by the heater 29A. That is, it is considered that the hardness of the injection material increased due to excessive heating by the heater 29A during the plasticizing process, and the pressure increased.

As described above, in the management system 1 according to the second embodiment, input parameters are compared and displayed, and furthermore, if the difference in parameter values is set to exceed a prescribed range, it is highlighted. As a result, in the management system 1 according to the second embodiment, the user can easily understand the parameters for which different values are set between the injection molding machine 100 and the injection molding machine 200.

Also, in the management system 1 of the second embodiment, similarly to the first embodiment, the input parameters are displayed side by side on the operation panel 30 of the injection molding machine 100 by the comparison display process. 30 and the operation panel 30 of the injection molding machine 200 to obtain data, input parameters can be easily compared. That is, the management system 1 in the second embodiment can also easily compare data related to injection molding processes of different injection molding machines 100 and 200.

In the second embodiment, the pressure value of parameter item Pr3 included in input parameter P100 may correspond to "first data" in the present disclosure. The pressure value of parameter item Pr3 included in input parameter P200 may correspond to "second data" in the present disclosure. Further, the display mode that is not highlighted with the parameters in FIGS. 8 and 9 may correspond to the "first mode" in the present disclosure, and the highlighted display may correspond to the "second mode".

[Embodiment 3]
In the comparison display process of the first embodiment, an example in which the injection molding machine 200 is the comparison target has been described. However, the management system 1 may determine an injection molding machine to be compared among the injection molding machines 100 to 500 based on predetermined conditions. In Embodiment 3, an example will be described in which an injection molding machine to be compared is determined depending on the type of mold and the type of injection material. In Embodiment 3, description of the same configuration as in Embodiment 1 will not be repeated.

FIG. 10 is a diagram showing a flowchart of comparison display processing in the third embodiment. The control unit 41 determines whether a command for comparison display processing has been received from the user (step S310). If a comparison display processing command has not been received from the user (NO in step S310), the control unit 41 repeats the processing in step S310. When receiving a command for comparison display processing from the user (YES in step S310), the control unit 41 acquires the types of molds and the types of injection materials installed in other injection molding machines 200 to 500 (step S310). S320). As described above, each of the injection molding machines 100 to 500 stores information indicating the type of mold attached to the machine itself and information indicating the type of injection material in its respective storage device 44. There is.

Subsequently, the control unit 41 determines whether or not there is an injection molding machine with the same mold type and injection material type as the injection molding machine 100 in the network NW (step S330). Note that the control unit 41 may determine in step S330 whether there is an injection molding machine with the same type of mold or type of injection material in the network NW. If there is no injection molding machine with the same type of mold and the same type of injection material in the network NW (NO in step S330), the control unit 41 informs that no injection molding machine that can be compared is connected in the network NW. is displayed on the operation panel 30 (step S370).

If an injection molding machine with the same type of mold and the same type of injection material exists in the network NW (YES in step S330), the control unit 41 acquires waveform data D100 and input parameters P100 of the injection molding machine 100 (step S340). After that, the control unit 41 acquires waveform data and input parameters from an injection molding machine having the same mold type and injection material type (step S350). As described in the first embodiment, the injection molding machine 100 and the injection molding machine 400 are equipped with the same mold shape S1 and use the same resin R1 as the injection material. Therefore, in step S350 of the third embodiment, the control unit 41 acquires the waveform data and input parameters of the injection molding machine 400.

Finally, the control unit 41 operates the waveform data D100 and input parameters P100 of the injection molding machine 100 acquired in step S340 and the waveform data and input parameters of the injection molding machine 400 acquired in step S350 in a manner that can be compared. It is displayed on the board 30 (step S360). In step S330, if there are multiple injection molding machines with the same mold type and injection material type in the network NW, the control unit 41 creates a list of all the multiple injection molding machines that can be compared. The information may be displayed to allow the user to select an injection molding machine to be compared. Further, the control unit 41 may display a plurality of injection molding machines as comparison targets for the injection molding machine 100. That is, although the example of the screen comparing the injection molding machine 100 and the injection molding machine 200 in FIGS. In addition to the data and input parameters, waveform data and input parameters of other injection molding machines that can be compared may be displayed. Thereby, the management system 1 allows the user to easily compare three or more injection molding machines.

In this way, in the management system 1 according to the third embodiment, the injection molding machines to be compared are determined using at least one of the type of mold or the type of injection material. As a result, in the management system 1 according to the third embodiment, other injection molding machines that perform an injection molding process similar to the injection molding process performed by the injection molding machine 100 can be compared.

Also, in the management system 1 of the third embodiment, similarly to the first embodiment, waveform data and input parameters are displayed side by side on the operation panel 30 of the injection molding machine 100 by the comparison display process. Waveform data and input parameters can be easily compared without operating both the operation panel 30 of the injection molding machine 400 and the operation panel 30 of the injection molding machine 400 to obtain data. That is, the management system 1 in the third embodiment can also easily compare data related to injection molding processes of different injection molding machines 100 and 400.

[Embodiment 4]
In the first embodiment, an example has been described in which the input parameter P100 of the injection molding machine 100 is adjusted by the user who has compared two waveform data of the injection molding machines 100 and 200. However, the adjustment of the input parameter P100 may not be performed by the user, but may be performed using a learned model obtained by machine learning. In Embodiment 4, description of the same configuration as in Embodiment 1 will not be repeated.

FIG. 11 is a diagram for explaining an example of adjusting input parameters using a learned model obtained by machine learning. As described in Embodiment 1, the control unit 41 acquires waveform data D100 of the injection molding machine 100 in which a defective product is molded and waveform data D200 of the injection molding machine 200 in which a defective product is not molded. do. In the fourth embodiment, an estimation model 70 is stored in the storage device 44.

The estimation model 70 uses a data set in which waveform data and input parameters in an injection molding machine are associated as learning data, learns the relationship between the waveform data and the input parameters, and uses the input waveform data as a target. Machine learning is being performed to estimate parameter values that approximate the waveform data.

Specifically, in the learning phase, input parameters and waveform data when the input parameters are set are input to the estimation model 70. The estimation model 70 uses a neural network to extract feature quantities that indicate the relationship between input parameters and waveform data. Thereby, the estimation model 70 learns how a change in any one of the plurality of parameter items included in the input parameters will affect the waveform data in response to the change.

Note that the estimation model 70 that has been optimized by learning such an estimation model 70 is also particularly referred to as a "trained model." That is, while the pre-learning estimation model 70 and the trained estimation model 70 are collectively referred to as the "estimation model", the trained estimation model 70 is also particularly referred to as the "trained model".

The estimation model 70 in the fourth embodiment receives two waveform data as input and outputs an adjustment parameter for making one waveform data closer to the other waveform data. That is, two types of waveform data are input to the estimation model 70, with target waveform data and waveform data to be adjusted being distinguished. In the example of the fourth embodiment, waveform data D200 of the injection molding machine 200 in which no defective products have been molded is input as target waveform data. On the other hand, waveform data D100 of the injection molding machine 100 in which defective products are molded is input as waveform data to be adjusted.

Thereby, the control unit 41 uses the learned estimation model 70 to obtain parameter values for bringing the waveform data D100 closer to the waveform data D200. For example, in the example shown in FIG. 9, the learned estimation model 70 outputs the setting temperature of the heater 29A of the injection molding machine 100 as "29.0° C." as an adjustment parameter. The control unit 41 can change the set temperature of the heater 29A of the injection molding machine 100 from "33.0°C" to "29.0°C" based on the adjustment parameters. As a result, in the management system 1 according to the fourth embodiment, the parameter values to be adjusted are output using the estimation model, so there is no need for the user to make an analogy.

Also, in the fourth embodiment, similarly to the first embodiment, waveform data and input parameters are displayed side by side on the operation panel 30 of the injection molding machine 100 by the comparison display process. Waveform data and input parameters can be easily compared without having to operate both the control panel 30 of the injection molding machine 200 and the operation panel 30 of the injection molding machine 200 to obtain data. This allows the user to use the output results of the estimation model 70 to estimate parameter values to be adjusted.

In Embodiment 4, an example using a trained model obtained by machine learning has been described, but the invention is not limited to this, and a database in which differences in waveform data and processing for parameter items are associated in advance may be used. good. For example, the database associates a process of lowering the temperature of the heaters 29A to 29C or a process of lowering the injection speed in response to an increase in pressure.

When the control unit 41 compares the waveform data D100 and the waveform data D200 and determines that the pressure of the waveform data D100 is higher than that of the waveform data D200, the control unit 41 controls the heaters 29A to 29C associated with the database. Perform a process to lower the temperature. Furthermore, if the increase in pressure is not improved, the control unit 41 executes processing to reduce the injection speed. In this way, the process for the parameter item associated with the difference between the waveform data D100 and the waveform data D200 is acquired, and the parameter value is adjusted. Thereby, the control unit 41 can adjust the parameter values using a database in which differences in waveform data and processing of parameter items are associated in advance through experiments or the like.

[Additional notes]
It will be appreciated by those skilled in the art that the exemplary embodiments described above are specific examples of the following aspects.

(Section 1) A management system according to one aspect includes a first injection molding machine and a second injection molding machine similar to the first injection molding machine connected via a network. The management system includes a display device and a control device. The control device acquires first data related to the injection molding process of the first injection molding machine, acquires second data related to the injection molding process of the second injection molding machine as a comparison target for the first data, The first data and the second data are displayed on a display device in a comparable manner.

According to the injection molding machine described in item 1, a user can easily compare data of a plurality of injection molding machines.

(Section 2) In the management system according to Item 1, the first injection molding machine further includes a first sensor that detects a state of the first injection molding machine. The second injection molding machine further includes a second sensor that detects a state of the second injection molding machine that corresponds to a state of the first injection molding machine detected by the first sensor. The first data is first waveform data that shows the detected values of the first sensor in time series during the injection molding process of the first injection molding machine, and the second data is the first waveform data that shows the detected values of the first sensor during the injection molding process of the second injection molding machine. This is second waveform data showing detected values of the second sensor in time series.

According to the injection molding machine described in item 2, the user can easily compare waveform data indicating values detected by the sensor during injection molding processing.

(Section 3) In the management system according to Item 2, the first injection molding machine further includes a first injection motor that injects the injection material into the mold. The second injection molding machine further includes a second injection motor that injects the injection material into the mold. The state of the first injection molding machine detected by the first sensor is related to the driving of the first injection motor, and the state of the second injection molding machine detected by the second sensor is related to the driving of the second injection motor. do.

According to the injection molding machine described in item 3, it is possible for the user to compare data related to the drive of the injection motor, which is highly related to the quality of the molded product.

(Section 4) In the management system according to Item 2 or 3, the display device displays the second waveform data superimposed on the first waveform data.

According to the injection molding machine described in item 4, by displaying the waveform data in an overlapping manner, it becomes easier to compare the first waveform data and the second waveform data.

(Paragraph 5) In the management system according to Paragraph 1, the first data is a parameter value set in a first injection molding machine as a molding condition, and the second data is a parameter value set in a second injection molding machine as a molding condition. This is a parameter value that is set on the machine and corresponds to the first data.

According to the injection molding machine described in item 5, the user can easily compare parameters set for the injection molding machine.

(Section 6) In the management system according to Section 5, if the difference between the first data and the second data is within a prescribed range, the control device displays the first data in the first mode on the display device. If the difference between the first data and the second data is outside a specified range, the first data is displayed in a second mode different from the first mode on the display device.

According to the injection molding machine described in item 6, parameters for which the difference between the first data and the second data is outside the specified range can be highlighted.

(Section 7) The management system according to any one of Items 1 to 6, wherein the control device is configured to control whether the type of mold attached to the second injection molding machine is different from the first injection molding machine. If the type of the installed mold is the same, or if the type of injection material of the second injection molding machine is the same as the type of injection material of the first injection molding machine, the first data and the second data are displayed on a display device in a comparable manner.

According to the injection molding machine described in item 7, injection molding machines using the same mold and material can be compared.

(Section 8) The management system according to any one of Items 2 to 4, further comprising a storage device. The storage device stores a learned model that has learned the relationship between waveform data and parameter values, and the control device inputs the first waveform data and the second waveform data to the learned model, and inputs the first waveform data into the first waveform data. Output parameter values to approximate 2 waveform data.

According to the injection molding machine described in item 8, parameters can be adjusted using the learned model.

(Section 9) An injection molding machine according to one aspect is an injection molding machine connected to other injection molding machines via a network. The injection molding machine includes a display device and a control device. The control device acquires first data related to the injection molding process of the injection molding machine, acquires second data related to the injection molding process of another injection molding machine as a comparison target with the first data, and The data and the second data are displayed on a display device in a comparable manner.

According to the injection molding machine described in item 9, data of a plurality of injection molding machines can be easily compared.

1 management system, 10 mold clamping device, 11 bed, 12 fixed platen, 13 mold clamping housing, 14 movable platen, 15 tie bar, 16 mold clamping mechanism, 17, 18 mold, 19 ball screw, 20 injection device, 21 base , 22 heating cylinder, 23 screw, 24 drive device, 25 hopper, 26 injection nozzle, 27 nozzle touch device, 28A pressure sensor, 28B torque sensor, 28C speed sensor, 29A to 29C heater, 30 operation panel, 31 display, 32 input device, 40 control device, 41 control unit, 41b memory, 42 input interface, 43 output interface, 44 storage device, 50S to 56S, Bt1, Bt2 button, 70 estimated model, 81 to 84 servo motor 100 to 500 injection molding machine, D100, D200 waveform data, DS1 to DS3, DS1-1 screen, NW network, Pr1 to Pr6 parameter items, P100, P110, P200, P210 input parameters, R1, R2 resin, S1 to S3 shape.

Claims (9)

A management system including a first injection molding machine and a second injection molding machine similar to the first injection molding machine connected via a network,
a display device;
and a control device;
The control device includes:
obtaining first data related to injection molding processing of the first injection molding machine;
obtaining second data related to injection molding processing of the second injection molding machine as a comparison target for the first data;
A management system that causes the display device to display the first data and the second data in a comparable manner. The first injection molding machine further includes a first sensor that detects a state of the first injection molding machine,
The second injection molding machine further includes a second sensor that detects a state of the second injection molding machine that corresponds to a state of the first injection molding machine detected by the first sensor,
The first data is first waveform data that shows the detected values of the first sensor in time series during the injection molding process of the first injection molding machine,
The management system according to claim 1, wherein the second data is second waveform data that shows, in time series, the detected values of the second sensor during injection molding processing of the second injection molding machine. The first injection molding machine further includes a first injection motor that injects the injection material into the mold,
The second injection molding machine further includes a second injection motor that injects the injection material into the mold,
The state of the first injection molding machine detected by the first sensor is related to driving of the first injection motor,
The management system according to claim 2, wherein the state of the second injection molding machine detected by the second sensor is related to driving of the second injection motor. The management system according to claim 2, wherein the display device displays the second waveform data in a superimposed manner on the first waveform data. The first data is a parameter value set in the first injection molding machine as a molding condition,
The management system according to claim 1, wherein the second data is a parameter value set in the second injection molding machine as molding conditions and corresponds to the first data. The control device includes:
If the difference between the first data and the second data is within a prescribed range, displaying the first data in a first manner on the display device;
The management according to claim 5, wherein when the difference between the first data and the second data is outside a specified range, the first data is displayed on the display device in a second mode different from the first mode. system. The control device controls whether the type of mold attached to the second injection molding machine is the same as the type of mold attached to the first injection molding machine, or If the type of injection material of the machine is the same as the type of injection material of the first injection molding machine, the display device displays the first data and the second data in a comparable manner. The management system according to any one of claims 1 to 6. further equipped with a storage device,
The storage device stores a learned model that has learned a relationship between waveform data and parameter values,
2. The control device inputs the first waveform data and the second waveform data to the trained model, and outputs a parameter value for bringing the first waveform data closer to the second waveform data. - The management system according to any one of claims 4 to 5. An injection molding machine connected to other injection molding machines via a network,
a display device;
and a control device;
The control device includes:
obtaining first data related to injection molding processing of the injection molding machine;
Obtaining second data related to injection molding processing of another injection molding machine as a comparison target for the first data,
An injection molding machine that causes the display device to display the first data and the second data in a comparable manner.

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