JP2020001277A - Information processing device and program - Google Patents

Abstract

To reduce an occurrence of molding defects in an injection molding machine having a hot runner.SOLUTION: An information processing device is communicably connected to an injection molding machine having a hot runner constituted by a plurality of manifolds including a plurality of nozzles, and a plurality of sensor devices which are installed in a plurality of cavities in the injection molding machine and can measure a pressure value in each cavity. The information processing device acquires measurement data indicating a pressure value measured by each sensor device for each shot. When a difference between pressure values calculated based on acquired predetermined measurement data is not less than a first threshold, a resin temperature of at least one of the two nozzles corresponding to the predetermined measurement data is adjusted.SELECTED DRAWING: Figure 5

Description

  The present invention relates to an information processing device and a program.

  When mass-producing an object having a predetermined shape, a mold that matches the shape is created, and a liquid resin is poured into the mold and solidified, so that mass production of the object having the shape is performed. Thus, an object produced using a mold is called a molded article.

  Generally, in the process of mass production of molded products, defective products having defective molding portions may be mixed. It is necessary to discard defective products having such defective molding parts or to manually correct defective molding parts, which leads to wasteful production costs and labor, so that injection molding can reduce the occurrence of molding defects. The development of a mold apparatus is desired, and the development is proceeding (for example, see Patent Document 1).

JP 2011-110726 A

  However, the injection mold apparatus (hereinafter simply referred to as “injection molding machine”) described in Patent Document 1 is an apparatus based on a cold runner, and does not consider the case of using a hot runner. There are inconveniences.

  The present invention has been made in view of the above circumstances, and has as its object to provide an information processing apparatus and a program capable of reducing occurrence of molding defects in an injection molding machine having a hot runner.

According to one aspect of the present invention, an information processing apparatus is installed in an injection molding machine having a hot runner constituted by a plurality of manifolds including a plurality of nozzles, and a plurality of cavities in the injection molding machine, It is communicably connected to a plurality of sensor devices capable of measuring the pressure value in each of the cavities.
The information processing device includes an acquisition unit, a generation unit, a first extraction unit, a first determination unit, a first adjustment unit, a calculation unit, a second extraction unit, a second determination unit, and a second adjustment unit. Is provided.
The acquisition unit acquires measurement data indicating a pressure value measured by each of the sensor devices for each shot.
The generation unit classifies the plurality of acquired measurement data according to a manifold including a nozzle corresponding to each of the cavities, and generates a measurement data group for each manifold.
The first extracting means focuses on one of the plurality of generated measurement data groups, and selects a maximum measurement value indicating a largest pressure value from among a plurality of measurement data included in the focused measurement data group. Data and minimum measurement data indicating the smallest pressure value are extracted.
The first determination unit determines whether a difference between pressure values calculated based on the extracted maximum measurement data and minimum measurement data is less than a first threshold.
The first adjusting means, when it is determined that the difference between the calculated pressure values is not less than a first threshold, at least one of the two nozzles corresponding to the extracted maximum measurement data and minimum measurement data. Adjust the temperature of one resin.
The calculating means calculates, for each of the generated measurement data groups, an average value of pressure values indicated by a plurality of measurement data included in the measurement data group.
The second extracting means includes a maximum average value data indicating a maximum average pressure value and a minimum average value data indicating a minimum average pressure value among a plurality of average pressure values calculated for each of the measurement data groups. And extract
The second determination means determines whether a difference between average pressure values calculated based on the extracted maximum average value data and minimum average value data is less than a first threshold value.
The second adjusting means, when it is determined that the difference between the calculated average pressure values is not less than the first threshold value, the two manifolds corresponding to the extracted maximum average value data and minimum average value data. The temperature of at least one of the resins is adjusted.

  According to the present invention, it is possible to reduce occurrence of molding defects in an injection molding machine having a hot runner.

FIG. 1 is a diagram illustrating a schematic configuration example of an injection molding system according to one embodiment. The figure which shows the example of a structure of the hot runner which concerns on the embodiment. The figure for explaining the inconvenience which may arise when producing a molded article using a general injection molding machine. FIG. 2 is a diagram showing an example of a hardware configuration of the information processing apparatus according to the embodiment. FIG. 3 is a diagram showing an example of a functional configuration of the information processing apparatus according to the embodiment. 5 is an exemplary flowchart illustrating an example of a procedure of a temperature adjustment process performed by the information processing apparatus according to the embodiment. FIG. 4 is an exemplary view showing an example of a data structure of first temperature adjustment data stored in the information processing apparatus according to the embodiment. 5 is an exemplary flowchart illustrating an example of a procedure of a temperature adjustment process performed by the information processing apparatus according to the embodiment. 5 is an exemplary flowchart illustrating an example of a procedure of a temperature adjustment process performed by the information processing apparatus according to the embodiment.

Hereinafter, embodiments will be described with reference to the drawings.
FIG. 1 shows a schematic configuration example of an injection molding system according to one embodiment. The injection molding system shown in FIG. 1 includes an injection molding machine 10, a sensor device 20, and an information processing device 30.
The injection molding machine 10 is a general injection molding machine having a hot runner, and performs the following series of operations. First, when the pellet-shaped resin is put into the hopper 11, an operation of preparing the injection by performing warming of the resin in the cylinder 12 to make it liquid is executed. Thereafter, by injecting a liquid resin (molten resin) from the cylinder 12, an operation of flowing the liquid resin into the many cavities 14 through the hot runners 13 in the set mold is executed. After the resin poured into each cavity 14 is cooled and solidified, an operation of opening the mold and discharging the molded product to the outside is executed.

  Here, the configuration of the hot runner 13 will be described in detail with reference to FIG. 2 in addition to FIG. FIG. 2 shows a configuration example of the hot runner 13. Although FIG. 2 illustrates an eight-cavity hot runner 13 that can produce eight molded products at one time, the number of molded products that the hot runner 13 can produce at one time is not limited to this.

  As shown in FIGS. 1 and 2, the hot runner 13 includes a nozzle 13a for flowing liquid resin into each cavity 14, and a manifold 13b including a flow path for flowing liquid resin from the cylinder 12 to the nozzle 13a. It is constituted by. FIG. 2 illustrates a case where the number of the nozzles 13a is equal to the number of molded products that can be produced at one time, that is, the same number as the cavities 14. However, the correspondence between the number of nozzles 13a and the number of cavities 14 is not limited to this, and a plurality of nozzles 13a may be provided for one cavity 14. FIG. 2 illustrates a case where the hot runner 13 includes eight nozzles 13a and two manifolds 13b, and four nozzles 13a are provided for each manifold 13b.

As shown in FIGS. 1 and 2, the hot runner 13 has a first heater 13c for preventing liquid resin from solidifying near each nozzle 13a, and a second heater 13c for preventing liquid resin from solidifying near each manifold 13b. And two heaters 13d. The first and second heaters 13c and 13d are used to adjust the temperature of the liquid resin (resin temperature).
As long as the series of operations described above can be executed and the injection molding machine has the above-described hot runner 13, any injection molding machine can be applied to the present system.

  On the other hand, when a molded article is produced using the above-described general injection molding machine 10, the following inconvenience may occur. FIG. 3 is a diagram for explaining inconveniences that may occur when a molded product is produced using a general injection molding machine 10, in which a nozzle 13 a of the hot runner 13 and a molded product having different sizes are used. 2 schematically shows two cavities 14 that can be produced.

As described above, when the liquid resin is injected from the cylinder 12, the liquid resin reaches the nozzles 13a ₁ and 13a ₂ shown in FIG. 3 through the manifold 13b constituting the hot runner 13, and thereafter Are poured into the cavities 14a and 14b. Here, for example, assuming that the distance from the manifold 13b constituting the hot runner 13 to each of the nozzles 13a ₁ and 13a ₂ and the flow velocity of the resin flowing through the manifold 13b are constant, the two nozzles shown in FIG. The time required for the liquid resin to reach 13a ₁ and 13a ₂ is the same. Thereafter, when the liquid resin is poured into each of the cavities 14a and 14b under the same conditions, the small-sized cavity 14b is filled with the liquid resin earlier than the large-sized cavity 14a. Become. According to this, although the filling is already completed, there is a possibility that overfilling occurs in which further filling is performed, and accordingly, a molded product produced by the small-sized cavity 14b There is a possibility that molding defects such as resin burrs, cracks (excessive density), warpage, deformation, and dimensional defects due to a small shrinkage ratio may occur.

If the filling of the small-sized cavity 14b is completed first as described above, in addition to the above-described overfilling, a molded product is produced without sufficient filling of the large-sized cavity 14a. Unfilling can occur. In this case, a molded article produced by the large cavity 14a may have molding defects such as short-circuit, sink marks, voids, warpage, deformation, and dimensional defects due to a large shrinkage ratio. is there.
In the present embodiment, an injection molding system that can solve such a problem will be described.

  Returning to the description of FIG. The sensor device 20 is provided in each cavity 14 in the injection molding machine 10. More specifically, the sensor device 20 is provided near the end opposite to the nozzle 13 a for flowing the liquid material into the cavity 14. In the present embodiment, the case where the sensor device 20 is a pressure sensor device capable of measuring the value of the resin pressure (in-mold pressure) in the mold set in the injection molding machine 10 for each shot is described. Assuming, the type of the sensor device 20 is not limited to this.

  For example, the sensor device 20 can measure the value of the resin temperature (in-mold temperature) in the mold set in the injection molding machine 10 for each shot, and can measure the temperature in the mold by an optical fiber infrared system. A resin temperature sensor device that can follow a change may be used. Alternatively, the sensor device 20 emits visible light to the resin for each shot and detects reflected light to measure the flow front (tip) speed (flow velocity in the mold) of the resin. It may be. Further, the sensor device 20 may be a surface temperature sensor device capable of measuring the temperature of a portion on the mold side 1 mm from the cavity surface for each shot.

  The information processing device 30 has a function of acquiring measurement data measured by the sensor device 20 and adjusting the temperature of the resin flowing in the hot runner 13 to a suitable temperature based on the acquired measurement data. More specifically, in order to solve the above-described inconvenience, the temperature of the resin flowing in the hot runner 13 is adjusted so that the filling time of the resin flowing into each cavity 14 is made substantially the same. In general, a liquid resin has a property of flowing faster because the viscosity is lower when the temperature is higher than when the temperature is lower.

Hereinafter, the information processing device 30 will be described in more detail.
FIG. 4 illustrates an example of a hardware configuration of the information processing apparatus 30 illustrated in FIG. As shown in FIG. 4, in the information processing device 30, a nonvolatile memory 32, a CPU (Central Processing Unit) 33, a main memory 34, a communication unit 35, and the like are connected to a bus 31. Among the units included in the information processing device 30, the non-volatile memory 32 and the main memory 34 constitute a storage device of the information processing device 30. In the present embodiment, it is assumed that the information processing device 30 is a personal computer (PC). However, the present invention is not limited to this, and the information processing device 30 is, for example, a tablet terminal, a smartphone, various wearable devices, or the like. May be.

  The non-volatile memory 32 stores, for example, an operating system (OS), various application programs, measurement data obtained from the sensor device 20, adjustment result data indicating a result of adjusting the temperature of the resin flowing in the hot runner 13, and the like ( Remember. The application program includes a program P (hereinafter, referred to as a “temperature adjustment program”) for adjusting the temperature of the resin flowing in the hot runner 13 to a suitable temperature.

  The CPU 33 is a processor for executing various application programs stored in the nonvolatile memory 32, for example. The CPU 33 also controls each unit included in the information processing device 30.

  The main memory 34 is used, for example, as a work area required when the CPU 33 executes various application programs. Further, the above-described measurement data and adjustment result data may be stored not only in the nonvolatile memory 32 but also in the main memory 34.

  In FIG. 3, only the nonvolatile memory 32 and the main memory 34 are shown as storage devices included in the information processing device 30. However, the information processing device 30 may be a hard disk drive (HDD) or a solid state drive (SSD). Other storage devices such as a State Drive) may be further provided.

  The communication unit 35 is communicably connected to the injection molding machine 10 and the sensor device 20 by wire or wirelessly, and is used, for example, to acquire measurement data from the sensor device 20. Further, the communication unit 35 is used for transmitting an instruction for adjusting the temperature of the first and second heaters 13c and 13d to the injection molding machine 10.

  Next, a main functional configuration of the information processing device 30 realized by the CPU 33 executing the temperature adjustment program P will be described with reference to a functional block diagram of FIG. It is assumed that the temperature adjustment program P can be stored in a computer-readable storage medium in advance and distributed. The program P may be downloaded to the information processing device 30 via a network such as the Internet, for example.

  As illustrated in FIG. 5, the information processing device 30 includes a measurement data acquisition unit 301, a first determination unit 302, a first temperature adjustment unit 303, a second determination unit 304, a second temperature adjustment unit 305, and a learning unit. Unit 306 and the like. The data storage unit 307 configured by the nonvolatile memory 32 and the main memory 34 stores adjustment result data indicating the results of the temperature adjustment performed by the first and second temperature adjustment units 303 and 305, and the like. You.

In the present embodiment, each of the units 301 to 306 is described as being realized by the CPU 33 executing the temperature adjustment program P (that is, software), but is not limited thereto. May be realized by hardware, or may be realized by a combination of software and hardware.
Hereinafter, each of the functional units 301 to 305 will be described in detail. Since the function of the learning unit 306 will be described later separately, a detailed description thereof will be omitted here.

  The measurement data acquisition unit 301 measures the maximum value (peak value) of the in-mold pressure measured by the sensor device 20 provided in each cavity 14 for each shot (hereinafter, also simply referred to as “in-mold pressure value”). ) And an identification code for identifying each sensor device 20 are acquired via the communication unit 35.

The first determination unit 302 classifies the measurement data acquired by the measurement data acquisition unit 301 for each of the manifolds 13b constituting the hot runner 13, and generates a measurement data group. Further, the first determination unit 302 determines, from among the measurement data included in the generated measurement data group, the maximum measurement data indicating the largest in-mold pressure value and the minimum measurement data indicating the smallest in-mold pressure value. It is determined whether or not the difference between the in-mold pressure values is less than a first threshold (in other words, whether or not the difference is within an error).
Note that the first threshold is a value stored in advance in the storage device including the nonvolatile memory 32 and the main memory 34 as one piece of setting information.

  The first temperature adjustment unit 303 adjusts the temperature of the first heater 13c provided near the nozzle 13a constituting the hot runner 13 based on the result of the determination by the first determination unit 302. According to this, it is possible to adjust the temperature of the liquid resin in the nozzle 13a, and it is possible to adjust the flow rate of the resin flowing into the cavity 14 from the nozzle 13a.

  Similarly to the first determination unit 302, the second determination unit 304 classifies the measurement data acquired by the measurement data acquisition unit 301 according to each of the manifolds 13b included in the hot runner 13, and generates a measurement data group. Further, the second determination unit 304 calculates an average of the in-mold pressure values indicated by the respective measurement data included in the generated measurement data group (hereinafter, referred to as “average pressure value”). The second determination unit 304 extracts the maximum value and the minimum value of the calculated average pressure values, and determines whether the difference between these average pressure values is less than the first threshold.

  The second temperature adjustment unit 305 adjusts the temperature of the second heater 13d provided near the manifold 13b constituting the hot runner 13 based on the result of the determination by the second determination unit 304. According to this, it is possible to adjust the temperature of the liquid resin flowing through the flow path in the manifold 13b, and it is possible to adjust the flow velocity of the resin flowing through the flow path in the manifold 13b.

Here, an example of a procedure of a temperature adjustment process for adjusting the temperature of the first heater 13c executed by each of the functional units 301 to 303 will be described with reference to a flowchart of FIG.
First, when injection molding is started using a liquid resin at a predetermined temperature and a shot is performed (step S1), the measurement data acquisition unit 301 transmits measurement data indicating the value of the in-mold pressure measured during the shot. It is acquired from each sensor device 20 (step S2). The acquired measurement data is output to first determination section 302.

Subsequently, when receiving the input of the measurement data transmitted from the measurement data acquisition unit 301, the first determination unit 302 determines the input based on the identification code for identifying the sensor device 20 included in the measurement data. Are classified according to the manifold 13b, and a measurement data group is generated (step S3).
For example, when the hot runner 13 has the configuration shown in FIG. 2, the first determination unit 302 classifies the measurement data received as input, and divides the measurement data into the cavity corresponding to the four nozzles 13a on the manifold 13b ₁ side. A first measurement data group including measurement data measured by the sensor device 20 in the first and second measurement data groups including measurement data measured by the sensor device 20 in the cavity 14 corresponding to the four nozzles 13a on the manifold 13b ₂ side. And two measurement data groups.

In the following description, the measurement data measured by the sensor device 20 in the cavity 14 corresponding to the predetermined nozzle 13a on the manifold 13b _m side is simply referred to as “measurement data corresponding to the predetermined nozzle 13a”. It may be called.

  Next, the first determination unit 302 pays attention to the measurement data group corresponding to the predetermined manifold 13b, and extracts measurement data to be compared from the measurement data included in the focused measurement data group. Specifically, maximum measurement data indicating the largest in-mold pressure value (Max value) and minimum measurement data indicating the smallest in-mold pressure value (min value) are extracted as comparison targets (step S4).

  The first determination unit 302 determines whether the difference between the in-mold pressure values calculated based on the extracted maximum measurement data and minimum measurement data is less than a first threshold (step S5). As a result of this processing, when it is determined that the difference between the in-mold pressure values is less than the first threshold value (YES in step S5), the first determination unit 302 performs the measurement corresponding to all the manifolds 13b ( It is determined whether or not attention has been paid to (data group) (step S6). If it is determined that attention has been paid to all manifolds 13b (YES in step S6), processing in step S21 shown in FIG. 9 described below is executed. . On the other hand, when it is determined that all the manifolds 13b are not focused (NO in step S6), the process returns to step S2 in order to execute the process focused on the manifold 13b not focused on, Processing for acquiring measurement data measured at the next shot is executed.

On the other hand, as a result of the processing in step S5, when it is determined that the difference between the in-mold pressure values is not less than the first threshold, that is, the difference between the in-mold pressure values is equal to or more than the first threshold (step S5). NO), the first determination unit 302 outputs the maximum measurement data and the minimum measurement data extracted as comparison targets to the first temperature adjustment unit 303.
When receiving the input of the maximum measurement data and the minimum measurement data sent from the first determination unit 302, the first temperature adjustment unit 303 is calculated based on the maximum measurement data and the minimum measurement data that have received the input. that based on the difference in mold pressure value, and prepares for adjusting the temperature TN ₁ of the resin of the minimum measurement data in the nozzles 13a corresponding to. Specifically, the first temperature adjustment unit 303 determines, based on the difference between the in-mold pressure values, how many degrees Celsius the resin temperature TN ₁ in the nozzle 13a corresponding to the minimum measurement data should be raised (that is, (Rising temperature) is determined (step S7).

As shown in FIG. 7, the difference between the in-mold pressure value and the difference between the in-mold pressure values is associated with the storage device including the nonvolatile memory 32 and the main memory 34 of the information processing device 30. shall first temperature adjustment data TC ₁ in which the elevated temperature is associated to a resin temperature TN ₁ indicating it is sufficient to increase what ℃ in the nozzle 13a are stored in advance when the a value.

For example, the first temperature adjustment data TC ₁₁ in FIG. 7, if the difference of the mold internal pressure value is X ₁ or more indicates that it is sufficient to raise the resin temperature TN ₁ only Y _1. The same applies to the first temperature adjustment data TC ₁₂ and TC ₁₃ , and a detailed description thereof will be omitted here.

Subsequently, the first temperature adjusting unit 303, minimum measured resin temperature TN ₁ in the data nozzles 13a corresponding to the sum of the temperature rise determined by the processing in step S7 described above, that is, after temperature adjustment nozzle calculating a resin temperature TN ₂ in 13a. Note that the resin temperature TN in the nozzle 13a is measured by a resin temperature sensor device (not shown) provided in each nozzle 13a, and can be appropriately acquired.
Thereafter, the first temperature adjusting unit 303 calculates the resin temperature TN ₂ determines whether an appropriate value as the resin temperature TN in the nozzle 13a. Specifically, the first temperature adjusting unit 303 calculates the resin temperature TN ₂ is greater than the minimum value _{TN min} the resin temperature in the nozzle 13a, whether the maximum value _{TN Max} smaller value (i.e. Then, it is determined whether or not the temperature is within a preset temperature range of the nozzle 13a (step S8). It is assumed that the minimum value TN _min and the maximum value TN _Max of the resin temperature in the nozzle 13a are stored in advance in the storage device of the information processing device 30 as one of the setting information.

Results of the processing in step S8 described above, when the calculated resin temperature TN ₂ is determined not to be an appropriate value as the resin temperature TN in the nozzle 13a (NO in step S8), and the first temperature adjusting unit 303, the The first determination unit 302 is instructed to change the threshold value of “1”. The first determination unit 302 changes the first threshold value to be larger than the current value according to the instruction from the first temperature adjustment unit 303 (step S9). Thereafter, in order to obtain measurement data measured at the next shot, the process returns to the above-described step S2, and the same process is executed again. When changing the first threshold value, it is assumed that how much the first threshold value is increased is stored in advance in the storage device of the information processing device 30 as one of the setting information.

On the other hand, the result of the processing in step S8 described above, when the calculated resin temperature TN ₂ is determined to be an appropriate value as the resin temperature TN in the nozzle 13a (YES in step S8), and the first temperature adjusting unit 303, the resin temperature TN in the nozzle 13a corresponding to the minimum measurement data, the temperature adjusted to the calculated resin temperature TN _2. Specifically, the first temperature adjusting unit 303 raises the temperature of the first heater 13c provided near the nozzle 13a, and the resin temperature TN in the nozzle 13a becomes the calculated resin temperature TN. _The temperature is adjusted to be 2 (step S10). Thereafter, in order to obtain measurement data measured at the next shot, the process returns to the above-described step S2, and the same process is executed again.

  When the series of processes described above are executed, and the process of step S6 determines that the process proceeds to the process of step S21 described below, the first temperature adjustment unit 303 determines that the process of step S5 is not performed. The first adjustment result data in which the difference between the in-mold pressure values calculated at the time of the first execution and the resin temperature TN in each nozzle 13a at the time when the determination is made is stored in the storage unit 307. I do.

In step S7~S10 6, a case has been exemplified to be adjusted to raise the resin temperature TN ₁ in the nozzle 13a corresponding to the minimum measurement data is not limited to this, for example, the maximum measurement data Adjustment may be made to lower the resin temperature in the corresponding nozzle 13a.
In this case, the storage device of the information processing device 30 is a value in which the difference between the in-mold pressure values and the difference between the in-mold pressure values are associated with each other instead of the _first temperature adjustment data TC1. At this time, the first temperature adjustment data in which the temperature of the resin in the nozzle 13a is decreased by the degree of the temperature which should be decreased may be stored in advance.

  Alternatively, the average of the in-mold pressure values indicated by the respective measurement data included in the measurement data group, that is, the average pressure value is calculated, and the resin temperature in each nozzle 13a corresponding to the respective measurement data included in the measurement data group is calculated. May be adjusted all at once. An example of the processing procedure in this case is shown in the flowchart of FIG. In the flowchart of FIG. 8, the same processes as those in the flowchart of FIG. 6 described above are denoted by the same reference numerals, and detailed description thereof will be omitted.

  First, when the processes of steps S1 to S3 described above are performed, the first determination unit 302 focuses on the measurement data group corresponding to the predetermined manifold 13b, and sets each measurement data included in the focused measurement data group. Is calculated (step S11).

  Subsequently, the first determination unit 302 extracts one of the measurement data included in the measurement data group of interest as a comparison target (Step S12). Then, the first determination unit 302 calculates the difference between the average pressure value calculated by the process of step S11 described above and the in-mold pressure value calculated based on the in-mold pressure value indicated by the extracted measurement data. It is determined whether it is less than the first threshold (step S13).

  As a result of this processing, when it is determined that the difference between the in-mold pressure values is less than the first threshold value (YES in step S13), the first determination unit 302 determines whether all of the measurement data groups in the focused measurement data group are included. It is determined whether or not the measurement data of (1) is extracted as a comparison target (step S14). As a result of this processing, when it is determined that all the measurement data has not been extracted as a comparison target (NO in step S14), the process returns to step S12, and the first determination unit 302 has not yet extracted. Perform processing to extract missing measurement data.

  On the other hand, as a result of the processing in step S14, when it is determined that all the measurement data have been extracted as comparison targets (YES in step S14), the first determination unit 302 determines that all of the manifolds 13b ( It is determined whether attention has been paid to the (measurement data group) (step S15).

  As a result of this processing, when it is determined that attention has been paid to all the manifolds 13b (YES in step S15), processing in step S21 shown in FIG. 9 described later is executed. On the other hand, when it is determined that all the manifolds 13b are not focused on (NO in step S15), the process returns to the above-described step S2 in order to execute the processing focused on the manifold 13b not focused on, Processing for acquiring measurement data measured at the next shot is executed.

When it is determined that the difference between the in-mold pressure values is not smaller than the first threshold value (NO in step S13) as a result of the processing in step S13, the first determination unit 302 performs the calculation in the above-described step S11. The average value data indicating the obtained average pressure value and the measurement data extracted as a comparison target in the process of step S12 are output to the first temperature adjustment unit 303.
When the first temperature adjustment unit 303 receives the input of the average value data and the measurement data sent from the first determination unit 302, the first temperature adjustment unit 303 calculates the type based on the received average value data and the measurement data. Preparation for adjusting the temperature of the resin in the nozzle 13a corresponding to the measurement data is performed based on the difference between the internal pressure values. Specifically, the first temperature adjustment unit 303 raises or lowers the temperature of the resin in the nozzle 13a corresponding to the measurement data by how many degrees Celsius based on the difference between the in-mold pressure values described above. Is determined (step S16).

  If the in-mold pressure value indicated by the measurement data is larger than the average pressure value indicated by the average value data, it is determined how many degrees Celsius the resin temperature in the nozzle 13a corresponding to the measurement data is to be decreased, If the in-mold pressure value is lower than the average pressure value, it is determined how much the temperature of the resin in the nozzle 13a is to be raised.

Next, the first temperature adjusting unit 303, the resin temperature TN ₁ in the nozzle 13a corresponding to the measurement data, the sum of the rising temperature or falling temperature determined by the processing of step S16 described above, that is, after temperature adjustment to the calculated resin temperature TN ₂ in the nozzle 13a.
Thereafter, the first temperature adjusting unit 303 calculates the resin temperature TN ₂ determines whether an appropriate value as the resin temperature TN in the nozzle 13a (step S17). The result of this process, when the calculated resin temperature TN ₂ is determined not to be an appropriate value as the resin temperature TN in the nozzle 13a (NO in step S17), the first temperature adjusting unit 303, a first threshold value The first determination unit 302 is instructed to change. The first determination unit 302 changes the first threshold value to be larger than the current value according to the instruction from the first temperature adjustment unit 303 (step S18), and changes the measurement data measured at the next shot. In order to acquire, the process returns to the above-described step S2, and the same process is executed again.

On the other hand, the result of the processing of step S17 described above, if the calculated resin temperature TN ₂ is determined to be an appropriate value as the resin temperature TN in the nozzle 13a (YES in step S17), the first temperature adjuster 303, the resin temperature TN ₁ in the nozzle 13a corresponding to the measurement data, the temperature adjusted to the calculated resin temperature TN _2. Specifically, the first temperature adjusting unit 303 increases the temperature of the first heater 13c provided near the nozzle 13a, the resin temperature of the resin temperature TN ₁ is the calculated in the nozzle 13a the temperature adjusted to TN ₂ (step S19). Thereafter, the process proceeds to the above-described step S14, and a process of determining whether or not all the measurement data included in the measurement data group of interest has been extracted as a comparison target is executed.

  According to the processing procedure shown in FIG. 8, the resin temperature TN in each nozzle 13a included in one manifold 13b can be adjusted at a time, and therefore, compared to the processing procedure shown in FIG. It is possible to reduce the number of shots required until the adjustment of the resin temperature TN in the inside is completed. According to this, it is possible to reduce shots that are wasted (possibly) before the temperature adjustment is completed.

Next, an example of a procedure of a temperature adjustment process for adjusting the temperature of the second heater 13d executed by each of the functional units 301, 304, and 305 will be described with reference to a flowchart of FIG.
First, the measurement data acquisition unit 301 acquires measurement data indicating an in-mold pressure value measured during a shot from each sensor device 20 (step S21). The acquired measurement data is output to the second determination unit 304.

  Subsequently, when receiving the input of the measurement data transmitted from the measurement data acquisition unit 301, the second determination unit 304 determines the input based on the identification code for identifying the sensor device 20 included in the measurement data. Are classified according to the manifold 13b, and a measurement data group is generated (step S22).

  Next, the second determination unit 304 calculates an average (average pressure value) of the in-mold pressure values for each measurement data group based on each measurement data included in each generated measurement data group (step S23). ). The second determination unit 304 extracts the largest average pressure value and the smallest average pressure value from a plurality of average pressure values calculated for each measurement data group as comparison targets (step S24).

  Then, the second determination unit 304 determines whether or not the difference between the average pressure values calculated based on the extracted maximum and minimum values of the average pressure value is less than the first threshold value (Step S25). ). As a result of this processing, when it is determined that the difference between the average pressure values is less than the first threshold value (YES in step S25), the temperature adjustment for making the filling completion times into the cavities 14 substantially the same is performed. Assuming that the processing has been completed, the processing here is terminated.

On the other hand, when it is determined that the difference between the average pressure values is not less than the first threshold value (NO in step S25) as a result of the processing in step S25, the second determination unit 304 Maximum average value data indicating the maximum value of the pressure value and minimum average value data indicating the minimum value of the average pressure value are output to the second temperature adjustment unit 305.
When the second temperature adjustment unit 305 receives the input of the maximum average value data and the minimum average value data sent from the second determination unit 304, the second temperature adjustment unit 305 converts the received maximum average value data and minimum average value data into the maximum average value data and minimum average value data. based on the basis of the difference between the average pressure value calculated, and prepares for adjusting the resin temperature TM ₁ minimum mean value data manifold within 13b corresponding to. Specifically, the second temperature adjusting unit 305, based on the difference of the average pressure values described above, to determine whether the resin temperature TM ₁ manifold 13b corresponding to the minimum mean value data is what ℃ increased (step S26).

Note that the storage device of the information processing apparatus 30, and the difference of the average pressure value, the resin temperature TM ₁ in manifold 13b it is sufficient to increase what ℃ when the difference between the average pressure value is a value correlated It is assumed that the second temperature adjustment data associated with the temperature rise indicating the heel is stored in advance.

Subsequently, the second temperature adjusting unit 305, the resin temperature TM ₁ in manifold 13b corresponding to the minimum mean value data, the sum of the temperature rise determined by the processing in step S26 described above, that is, after temperature adjustment calculating a resin temperature TM ₂ in the manifold 13b. The resin temperature TM in the manifold 13b is measured by a resin temperature sensor device (not shown) provided in each of the manifolds 13b, and can be appropriately acquired.
Thereafter, the second temperature adjusting unit 305, the calculated resin temperature TM ₂ determines whether an appropriate value as the resin temperature TM in the manifold 13b. Specifically, the second temperature adjusting unit 305, the calculated resin temperature TM ₂ is greater than the minimum value _{TM min} the resin temperature in the manifold 13b, determining whether a maximum value _{TM Max} smaller value (Step S27). It is assumed that the minimum value TM _min and the maximum value TM _Max of the resin temperature in the manifold 13b are stored in advance in the storage device of the information processing device 30 as one of the setting information.

Results of the processing of step S27 described above, if the calculated resin temperature TM ₂ is determined not to be an appropriate value as the resin temperature TM in the manifold 13b (NO in step S27), the second temperature adjusting unit 305, the The second determination unit 304 is instructed to change the threshold value of “1”. The second determination unit 304 changes the first threshold value to be larger than the current value according to the instruction from the second temperature adjustment unit 305 (step S28). Thereafter, in order to acquire measurement data measured at the next shot, the process returns to the above-described step S21, and the same process is executed again. When changing the first threshold value, it is assumed that how much the first threshold value is increased is stored in advance in the storage device of the information processing device 30 as one of the setting information.

On the other hand, the result of the processing of step S27 described above, if the calculated resin temperature TM ₂ is determined to be an appropriate value as the resin temperature TM in the manifold 13b (YES in step S27), the second temperature adjuster 305, the resin temperature TM in the manifold 13b which corresponds to the minimum mean value data, the temperature adjusted to the calculated resin temperature TM _2. Specifically, the second temperature adjustment unit 305 raises the temperature of the second heater 13d provided in the vicinity of the manifold 13b, and the resin temperature TM in the manifold 13b becomes the calculated resin temperature TM. _The temperature is adjusted to be 2 (step S29). Thereafter, in order to acquire measurement data measured at the next shot, the process returns to the above-described step S21, and the same process is executed again.

  When the series of processes described above are executed and the temperature adjustment is completed, the second temperature adjustment unit 305 determines the difference between the average pressure value calculated when the above-described process of step S25 is executed for the first time and the temperature adjustment. Is stored in the storage unit 307, in which the second adjustment result data in which the resin temperature TM in each manifold 13b at the time of the completion of the above is completed is associated.

In step S26~S29 in FIG. 9, the resin temperature TM ₁ in manifold 13b corresponding to the minimum mean value data illustrated the case of adjusting to raise, without being limited thereto, for example, a maximum average value The temperature of the resin in the manifold 13b corresponding to the data may be adjusted so as to decrease.
In this case, the storage device of the information processing device 30 stores the difference between the average pressure value and the difference between the average pressure values, instead of the second temperature adjustment data, when the manifold 13 b It is sufficient that the second temperature adjustment data in which the temperature of the resin in the inside is reduced by how much by degrees C is associated in advance with the temperature reduction data.
Further, the average of the average pressure values may be calculated by a processing procedure similar to the processing procedure shown in FIG. 8, and the resin temperature in the plurality of manifolds 13 b constituting the hot runner 13 may be adjusted at the same time.

  The resin temperature of each nozzle 13a and the resin temperature of each manifold 13b are adjusted by the above-described series of processing procedures, and first and second adjustment result data indicating the result of the adjustment are stored in the storage unit 307. The learning unit 306 performs supervised learning using the first and second adjustment result data.

Specifically, the learning unit 306 receives as an input the difference of the in-mold pressure value obtained first indicated by the first adjustment result data stored in the storage unit 307, and indicates the difference by the first adjustment result data. performing supervised learning that the output temperature TN ₂ after adjustment of the nozzles 13a to be. Further, the learning unit 306 receives, as an input, the difference between the average pressure values obtained first indicated by the second adjustment result data stored in the storage unit 307, and inputs the difference of each manifold 13b indicated by the second adjustment result data. was the output of the temperature TM ₂ after adjustment supervised learning performed.

  By repeating the above-described supervised learning, the learning section 306 can estimate which resin temperature TN of which nozzle 13a should be set to what degree C when the difference between the in-mold pressure values calculated first is a predetermined value. A first model is generated. Similarly, when the difference between the average pressure values calculated first is a predetermined value, the learning unit 306 generates a second model that can estimate which resin temperature TM of which manifold 13b should be set to what degree C. . The generated first and second models are stored in the storage unit 307.

  According to this, the first temperature adjustment unit 303 determines the resin temperature TN in each nozzle 13a based on the generated first model, and performs the temperature adjustment. That is, the first temperature adjustment unit 303 outputs the resin temperature TN in each nozzle 13a in response to the input of the difference between the in-mold pressure values calculated first by the first determination unit 302, and performs the temperature adjustment. I do. Similarly, the second temperature adjustment unit 305 determines the resin temperature TM in each manifold 13b based on the generated second model, and adjusts the temperature. That is, the second temperature adjustment unit 305 outputs the resin temperature TM in each manifold 13b in response to the input of the difference between the average values of the in-mold pressure values calculated first by the second determination unit 304. Adjust the temperature.

  According to the embodiment described above, since the information processing apparatus 30 includes the functional units 301 to 305, the resin temperature TN in each nozzle 13a constituting the hot runner 13 and the resin temperature TN in each manifold 13b By adjusting the TM and the flow rate of the liquid resin flowing into each cavity 14, it is possible to make the filling completion time into each cavity 14 substantially the same. According to this, it is possible to reduce the possibility that each cavity 14 may be overfilled or unfilled. That is, it is possible to reduce the occurrence of molding defects in an injection molding machine having a hot runner.

  The method described in the above-described embodiment includes programs that can be executed by a computer such as a magnetic disk (floppy (registered trademark) disk, hard disk, etc.), an optical disk (CD-ROM, DVD, etc.), a magneto-optical disk (MO), It can also be stored in a storage medium such as a semiconductor memory and distributed.

The storage medium may be in any form as long as it can store a program and can be read by a computer.
Further, an OS (Operating System) running on the computer based on an instruction of a program installed in the computer from the storage medium, MW (Middleware) such as database management software, network software, etc. realize the present embodiment. May be partially executed.

Further, the storage medium in the present invention is not limited to a medium independent of a computer, but also includes a storage medium in which a program transmitted through a LAN, the Internet, or the like is downloaded and stored or temporarily stored.
Further, the number of storage media is not limited to one, and a case where the processing in the present embodiment is executed from a plurality of media is also included in the storage medium of the present invention, and any medium configuration may be used.

Note that the computer according to the present invention executes each process in the present embodiment based on a program stored in a storage medium, and includes a device such as a personal computer and a system in which a plurality of devices are connected to a network. Or any other configuration.
Further, the computer in the present invention is not limited to a personal computer, but also includes an arithmetic processing unit, a microcomputer, and the like included in an information processing device, and is a general term for devices and devices that can realize the functions of the present invention by a program. .

  It should be noted that the present invention is not limited to the above-described embodiment as it is, and can be embodied by modifying the constituent elements without departing from the gist thereof at the stage of implementation. Various inventions can be formed by appropriately combining a plurality of constituent elements disclosed in the above embodiments. For example, some components may be deleted from all the components shown in the embodiment. Further, components of different embodiments may be appropriately combined.

  DESCRIPTION OF SYMBOLS 10 ... Injection molding machine, 20 ... Sensor device, 30 ... Information processing device, 31 ... Bus, 32 ... Non-volatile memory, 33 ... CPU, 34 ... Main memory, 35 ... Communication part, 301 ... Measurement data acquisition part, 302 ... 1st determination part, 303 ... 1st temperature adjustment part, 304 ... 2nd determination part, 305 ... 2nd temperature adjustment part, 306 ... learning part, 307 ... storage part.

According to one aspect of the present invention, an information processing apparatus is installed in an injection molding machine having a hot runner constituted by a plurality of manifolds including a plurality of nozzles, and a plurality of cavities in the injection molding machine, It is communicably connected to a plurality of sensor devices capable of measuring the pressure value in each of the cavities.
The information processing device includes an acquisition unit, a generation unit, a first extraction unit, a first determination unit, a first adjustment unit, a calculation unit, a second extraction unit, a second determination unit, and a second adjustment unit. Is provided.
The acquisition unit acquires measurement data indicating a pressure value measured by each of the sensor devices for each shot.
The generation unit classifies the plurality of acquired measurement data according to a manifold including a nozzle corresponding to each of the cavities, and generates a measurement data group for each manifold.
The first extracting means focuses on one of the plurality of generated measurement data groups, and selects a maximum measurement value indicating a largest pressure value from among a plurality of measurement data included in the focused measurement data group. Data and minimum measurement data indicating the smallest pressure value are extracted.
The first determination unit determines whether a difference between pressure values calculated based on the extracted maximum measurement data and minimum measurement data is less than a first threshold.
Said first adjusting means, if the difference between the calculated pressure value is determined not to be less than the first threshold value, of the two nozzles corresponding to the maximum measurement data and the minimum measurement data the extracted At least one resin temperature is adjusted.
The calculating means calculates, for each of the generated measurement data groups, an average value of pressure values indicated by a plurality of measurement data included in the measurement data group.
The second extracting means includes a maximum average value data indicating a maximum average pressure value and a minimum average value data indicating a minimum average pressure value among a plurality of average pressure values calculated for each of the measurement data groups. And extract
The second determination means determines whether or not the difference between the average pressure value calculated based on the maximum average data and the minimum mean value data the extracted is less than the first threshold.
It said second adjusting means, if the difference between the calculated average pressure value is determined to not less than the first threshold value, the two manifold corresponding to the maximum average data and the minimum mean value data the extracted The resin temperature of at least one of the above is adjusted.

Claims (7)

An injection molding machine having a hot runner constituted by a plurality of manifolds including a plurality of nozzles, and a plurality of sensor devices each installed in a plurality of cavities in the injection molding machine and capable of measuring a pressure value in each of the cavities An information processing device communicably connected to the
Acquisition means for acquiring measurement data indicating a pressure value measured by each of the sensor devices for each shot,
A generation unit that classifies the obtained plurality of measurement data by manifold including nozzles corresponding to the cavities, and generates a measurement data group for each manifold,
Focusing on one of the generated plurality of measurement data groups, from among the plurality of measurement data included in the focused measurement data group, the maximum measurement data indicating the largest pressure value and the smallest pressure value First extracting means for extracting the minimum measurement data shown,
A first determination unit configured to determine whether a difference between pressure values calculated based on the extracted maximum measurement data and minimum measurement data is less than a first threshold value,
When it is determined that the difference between the calculated pressure values is not less than the first threshold value, a resin temperature of at least one of the two nozzles corresponding to the extracted maximum measurement data and minimum measurement data is adjusted. 1 adjusting means;
For each of the generated measurement data group, a calculation unit that calculates an average value of each pressure value indicated by a plurality of measurement data included in the measurement data group,
Second extraction for extracting maximum average value data indicating a maximum average pressure value and minimum average value data indicating a minimum average pressure value from a plurality of average pressure values calculated for each of the measurement data groups. Means,
A second determination unit configured to determine whether a difference between average pressure values calculated based on the extracted maximum average value data and minimum average value data is less than a first threshold value,
If it is determined that the difference between the calculated average pressure values is not less than the first threshold, the resin temperature of at least one of the two manifolds corresponding to the extracted maximum average value data and minimum average value data is determined. An information processing apparatus comprising: a second adjusting unit for adjusting. The first adjusting means includes:
Adjust to lower the resin temperature of the nozzle corresponding to the maximum measurement data, or to increase the resin temperature of the nozzle corresponding to the minimum measurement data,
The second adjusting means includes:
The information according to claim 1, wherein adjustment is performed so as to lower the resin temperature of the manifold corresponding to the maximum average value data or to increase the resin temperature of the manifold corresponding to the minimum average value data. Processing equipment. The first extracting means includes:
A plurality of measurement data included in the focused measurement data group are sequentially extracted,
The first determining means includes:
The difference between the average value of each pressure value indicated by the plurality of measurement data included in the focused measurement data group and the pressure value calculated based on the pressure value indicated by the predetermined measurement data extracted in the order is Determining whether it is less than a first threshold,
The first adjusting means includes:
The information processing apparatus according to claim 1, wherein when it is determined that the difference between the calculated pressure values is not less than a first threshold, the resin temperature of the nozzle corresponding to the predetermined measurement data is adjusted. . The second extracting means includes:
A plurality of average value data indicating the average pressure value calculated for each of the measurement data groups is sequentially extracted,
The second determining means includes:
The difference between the average value of the average pressure values indicated by the plurality of average value data and the pressure value calculated based on the average pressure value indicated by the predetermined average value data extracted in the order is a first threshold value. Judge whether it is less than
The second adjusting means includes:
The information processing apparatus according to claim 1, wherein when it is determined that the difference between the calculated pressure values is not less than a first threshold value, the resin temperature of the manifold corresponding to the predetermined average value data is adjusted. apparatus. The first adjusting means includes:
If the adjusted resin temperature of the nozzle is a value that is not included in the preset first range, the first threshold value is changed to be larger than the current value,
The second adjusting means includes:
The first threshold value is changed to be larger than the present value when the adjusted resin temperature of the manifold is a value not included in the second range set in advance. An information processing apparatus according to claim 1. A difference between pressure values calculated based on the extracted maximum measurement data and minimum measurement data is input, and after adjustment of at least one of the two nozzles corresponding to the extracted maximum measurement data and minimum measurement data Supervised learning with the resin temperature of
The difference between the average pressure value calculated based on the extracted maximum average value data and the minimum average value data is input, and the two manifolds corresponding to the extracted maximum average value data and minimum average value data are input. The information processing apparatus according to claim 1, further comprising a learning unit that performs supervised learning using at least one of the adjusted resin temperatures as an output. An injection molding machine having a hot runner constituted by a plurality of manifolds including a plurality of nozzles, and a plurality of sensor devices each installed in a plurality of cavities in the injection molding machine and capable of measuring a pressure value in each of the cavities A program executed by a computer of an information processing device communicably connected to the computer,
To the computer,
An acquisition step of acquiring measurement data indicating a pressure value measured by each of the sensor devices for each shot;
A generation step of classifying the acquired plurality of measurement data by manifold including nozzles corresponding to the cavities, and generating a measurement data group for each manifold,
Focusing on one of the generated plurality of measurement data groups, from among the plurality of measurement data included in the focused measurement data group, the maximum measurement data indicating the largest pressure value and the smallest pressure value A first extraction step of extracting the minimum measurement data shown;
A first determination step of determining whether a difference between pressure values calculated based on the extracted maximum measurement data and minimum measurement data is less than a first threshold value,
When it is determined that the difference between the calculated pressure values is not less than the first threshold value, a resin temperature of at least one of the two nozzles corresponding to the extracted maximum measurement data and minimum measurement data is adjusted. One adjustment step;
For each generated measurement data group, a calculation step of calculating an average value of each pressure value indicated by a plurality of measurement data included in the measurement data group,
Second extraction for extracting maximum average value data indicating a maximum average pressure value and minimum average value data indicating a minimum average pressure value from a plurality of average pressure values calculated for each of the measurement data groups. Steps and
A second determination step of determining whether a difference between the average pressure values calculated based on the extracted maximum average value data and the minimum average value data is less than a first threshold value;
If it is determined that the difference between the calculated average pressure values is not less than the first threshold, the resin temperature of at least one of the two manifolds corresponding to the extracted maximum average value data and minimum average value data is determined. And a second adjustment step of adjusting.

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