WO2022138830A1 - Molding machine, and method for operating molding machine - Google Patents

Abstract

The molding machine according to an embodiment comprises: a mold clamping device; an injection device; a control device that controls a molding operation in which the mold clamping device and the injection device are used; a component service life prediction device including an operation record information storage unit that stores operation record information pertaining to the molding operation, a replacement record information storage unit that stores replacement record information pertaining to a first component, a service life prediction value storage unit that stores a service life prediction value for the first component, and a correction unit that, during replacement of the first component, corrects the service life prediction value for the first component on the basis of the operation record information and the replacement record information pertaining to the first component; and a display device that is capable of displaying the operation record information, the replacement record information, and the service life prediction value.

Description

Molding machine and operating method of molding machine

The present invention relates to an operating method of a molding machine and a molding machine, and more particularly to an operating method of a molding machine and a molding machine for predicting the life of a part.

In molding machines such as die casting machines and injection molding machines, the control device controls the injection device and the mold clamping device according to the desired operating conditions to manufacture the product. When a part of a molding machine is damaged, broken down, or worn out, the manufacturing of the product by the molding machine is stopped until the damaged, broken down, or worn-out part is replaced. In particular, when replacement parts are not prepared, the time until the parts are procured is added to the manufacturing downtime. Prolonged suspension of product production can result in significant losses.

If the replacement time of parts is known in advance, replacement parts can be prepared in advance. By preparing replacement parts in advance, it is possible to minimize the manufacturing downtime when the parts are damaged, broken down, or worn out.

On the other hand, an increase in cost due to excessive preparation of replacement parts can also lead to loss. Therefore, it is desired to predict the life of the parts of the molding machine with high accuracy.

Japanese Unexamined Patent Publication No. 2019-36158

An object to be solved by the present invention is to provide a molding machine and an operation method of the molding machine capable of predicting the life of a part with high accuracy.

The molding machine of one aspect of the present invention includes a mold clamping device, an injection device, a control device for controlling a molding operation using the mold clamping device and the injection device, and an operation of storing operation history information of the molding operation. The history information storage unit, the replacement history information storage unit that stores the replacement history information of the first component, the life prediction value storage unit that stores the life prediction value of the first component, and the replacement of the first component. Occasionally, a component life prediction device including the operation history information and a correction unit for correcting a life prediction value of the first component based on the replacement history information of the first component, and the operation history information, said. It is provided with exchange history information and a display device capable of displaying the life predicted value.

In the molding machine of the above aspect, the correction unit corrects the life predicted value of the first part at the time of replacing the first part, and then before the next replacement of the first part. It is preferable to further correct the corrected life prediction value of the first component based on the operation history information.

In the molding machine of the above aspect, the correction unit corrects the life predicted value of the first part based on the information at the time of a plurality of past replacements in the replacement history information of the first part. Is preferable.

In the molding machine of the above aspect, it is preferable that the replacement history information storage unit stores the replacement history information of the second part, and the life prediction value storage unit stores the life prediction value of the second part. ..

In the molding machine of the above aspect, it is preferable that the correction unit corrects the life predicted value of the first part based on the replacement history information of the second part when the first part is replaced.

In the molding machine of the above aspect, it is preferable that the correction unit corrects the life predicted value of the second part when the first part is replaced.

The molding machine of the above aspect further includes an environmental information storage unit that stores environmental history information of the environment in which the mold clamping device and the injection device are placed, and the correction unit is used when the first component is replaced. It is preferable to correct the life prediction value of the first component based on the environmental history information.

In the molding machine of the above aspect, it is preferable to display an alarm on the display device based on the operation history information and the life predicted value of the first component.

In the molding machine of the above aspect, it is preferable that the life predicted value of the first component includes different predicted values based on different operation counts in the operation history information.

The operation method of the molding machine according to one aspect of the present invention is an operation method of a molding machine including a mold clamping device, an injection device, and a control device for controlling the mold clamping device and the molding operation using the injection device. Therefore, when the first component of the molding machine is replaced, the life prediction value of the first component is corrected based on the operation history of the molding machine and the replacement history of the first component.

In the operation method of the molding machine of the above aspect, after correcting the life predicted value of the first part at the time of replacing the first part, and then before the next replacement of the first part, the molding machine. It is preferable to further correct the corrected life prediction value of the first component based on the operation history of the above.

In the operation method of the molding machine of the above aspect, it is preferable to correct the life predicted value of the first part based on the information at the time of the past multiple replacements of the first part.

In the operation method of the molding machine of the above aspect, it is preferable to correct the life predicted value of the first part based on the replacement history of the second part when the first part is replaced.

In the operation method of the molding machine of the above aspect, it is preferable to correct the life predicted value of the second part when the first part is replaced.

In the operation method of the molding machine of the above aspect, when the first part is replaced, the life prediction value of the first part is corrected based on the environmental history of the environment in which the mold clamping device and the injection device are placed. Is preferable.

According to the present invention, it is possible to provide a molding machine and an operation method of the molding machine capable of predicting the life of a part with high accuracy.

The schematic diagram which shows the molding machine of 1st Embodiment. The schematic diagram of a part of the molding machine of 1st Embodiment. The operation block diagram of the operation method of the molding machine of 1st Embodiment. The operation block diagram of the operation method of the molding machine of 2nd Embodiment. The operation block diagram of the operation method of the molding machine of 3rd Embodiment. The operation block diagram of the operation method of the molding machine of 4th Embodiment. The schematic diagram which shows the molding machine of 5th Embodiment. The operation block diagram of the operation method of the molding machine of 5th Embodiment.

Hereinafter, embodiments of the present invention will be described with reference to the drawings.

(First Embodiment)
The molding machine of the first embodiment includes a mold clamping device and an injection device, a control device for controlling a molding operation using the mold clamping device and the injection device, and an operation history information storage unit for storing operation history information of the molding operation. The replacement history information storage unit that stores the replacement history information of the first part, the life prediction value storage unit that stores the life prediction value of the first part, and the operation history information when the first part is replaced. , A component life prediction device including a correction unit that corrects the life prediction value of the first part based on the replacement history information of the first part, and display of operation history information, replacement history information, and life prediction value. It is equipped with a possible display device.

FIG. 1 is a schematic view showing the molding machine of the first embodiment. FIG. 1 is a plan layout of the molding machine of the first embodiment. FIG. 2 is a schematic view of a part of the molding machine of the first embodiment. FIG. 2 is a side view of a mold clamping device, an extruder, an injection device, and a mold of the molding machine of the first embodiment. The molding machine of the first embodiment is a die casting machine 100.

As shown in FIG. 1, the die casting machine 100 includes a mold clamping device 10, an extrusion device 12, an injection device 14, a mold 16, a control device 18, a display device 20, an operation device 24, a spray device 26, a hot water supply device 28, and A component life prediction device 30 is provided. The component life prediction device 30 includes a correction unit 30a, an operation history information storage unit 30b, a replacement history information storage unit 30c, and a life prediction value storage unit 30d.

As shown in FIG. 2, the die casting machine 100 includes a base 32, a fixed die plate 34, a movable die plate 36, a link housing 38, a tie bar 40, a sliding plate 42, a mold clamping cylinder 44, an injection cylinder 46, a plunger tip 48, and an injection. A sleeve 50 is provided.

The die casting machine 100 is a machine that manufactures a die casting product by injecting a liquid metal (molten metal) into the cavity (Ca in FIG. 2) described in the mold 16 and solidifying the metal in the mold 16. be. The metal is, for example, an aluminum alloy, a zinc alloy, or a magnesium alloy.

The mold 16 is provided between the mold clamping device 10 and the injection device 14. The mold 16 includes, for example, a fixed mold 16a and a movable mold 16b.

The mold clamping device 10 has a function of opening and closing the mold 16 and mold clamping. The mold clamping device 10 opens and closes the mold 16 and clamps the mold 16 by using the mold clamping cylinder 44.

The injection device 14 has a function of injecting liquid metal into the inside of the mold 16. The injection device 14 includes an injection cylinder 46, a plunger tip 48, and an injection sleeve 50. The injection device 14 uses the injection cylinder 46 to move the plunger tip 48 in the injection sleeve 50. The plunger tip 48 ejects liquid metal into the mold 16.

The extruder 12 has a function of pushing out the die-cast product from the fixed mold or the moving mold and removing it.

The fixed die plate 34 is fixed on the base 32. The fixed die plate 34 can hold the fixed mold 16a.

The movable die plate 36 is provided on the sliding plate 42 on the base 32. The movable die plate 36 is movable in the mold opening / closing direction. The mold opening / closing direction means both the mold opening direction and the mold closing direction shown in FIG. The movable die plate 36 can hold the movable mold 16b facing the fixed mold 16a.

The link housing 38 is provided on the base 32. One end of the link mechanism constituting the mold clamping device 10 is fixed to the link housing 38.

The fixed die plate 34 and the link housing 38 are fixed by the tie bar 40. The tie bar 40 supports the mold clamping force while the mold clamping force is applied to the fixed mold 16a and the movable mold 16b. It was

The spray device 26 has a function of spraying air for cleaning the mold 16 onto the mold 16. Further, the spray device 26 has a function of spraying a mold release agent on the mold 16 for facilitating extruding of the die-cast product from the mold 16.

The hot water supply device 28 has a function of supplying liquid metal to the injection sleeve 50 of the injection device 14. Liquid metal is supplied to the injection sleeve 50 in each cycle of manufacturing the die-cast product.

The operation device 24 has an operation switch for operating the mold clamping device 10, the extrusion device 12, and the mechanical operation of the injection device 14. The operating device 24 is provided with, for example, a mold clamping device 10, an extrusion device 12, a power switch for the injection device 14, an operation start switch, a stop switch, and the like. Further, the operating device 24 is provided with, for example, an open / close switch for the mold 16.

The control device 18 has a function of controlling a molding operation using the mold clamping device 10, the extrusion device 12, and the injection device 14. The control device 18 outputs a command to the mold clamping device 10, the extrusion device 12, and the injection device 14 so that the molding operation is performed under desired preset operating conditions. For example, the control device 18 feeds back the operating conditions of the monitored mold clamping device 10, the extrusion device 12, and the injection device 14, and performs the molding operation of the mold clamping device 10, the extrusion device 12, and the injection device 14. Control.

The control device 18 is composed of, for example, a combination of hardware and software. The control device 18 includes, for example, a CPU (Central Processing Unit), a semiconductor memory, and a control program stored in the semiconductor memory.

The component life prediction device 30 has a correction unit 30a, an operation history information storage unit 30b, a replacement history information storage unit 30c, and a life prediction value storage unit 30d. The component life prediction device 30 has a function of predicting the life of the components constituting the die casting machine 100. The component life prediction device 30 has, for example, a function of calculating a life notice value obtained by adding a planned safety factor to the life prediction value of the parts constituting the die casting machine 100.

The parts whose life is predicted are, for example, a base 32, a fixed die plate 34, a movable die plate 36, a link housing 38, a sliding plate 42, a mold clamping cylinder 44, a tie bar 40, an injection cylinder 46, a plunger tip 48, or an injection. The sleeve 50. The base 32, fixed die plate 34, movable die plate 36, link housing 38, sliding plate 42, mold clamping cylinder 44, tie bar 40, injection cylinder 46, plunger tip 48, or injection sleeve 50 are examples of the first component. be. The parts to be the target of the life prediction can be added by the user of the die casting machine 100, for example.

The operation history information storage unit 30b stores the operation history information of the molding operation of the die casting machine 100. The operation history information is, for example, the operation count number of various operations included in the molding operation, which is associated with the date and time. The operation count number is the cumulative number or time of various operations. The number of operation counts is, for example, the cumulative number or time of the mold clamping operation, the cumulative number or time of the mold opening / closing operation, the cumulative number or time of the extrusion operation, the cumulative number or time of the injection operation, or the pressure increasing operation. Cumulative number or cumulative time.

For example, the mold clamping operation may be further divided into a plurality of operations and counted. For example, the mold clamping operation may be divided into all mold clamping operations and mold clamping operations having a predetermined mold clamping force or more and counted.

For example, the pressure increasing operation may be further divided into a plurality of operations and counted. For example, the cumulative number of pressure-increasing operations may be divided into the cumulative number of all pressure-increasing operations and the cumulative number of pressure-increasing operations of a predetermined pressure or higher.

By associating each operation count with the date and time, for example, the cumulative number of times and the cumulative time of each operation in a specific period can be grasped. For example, the cumulative number of times and the cumulative time of the mold clamping operation in a specific period can be grasped. Further, for example, the cumulative number of injection operations and the cumulative time in a specific period can be grasped.

The replacement history information storage unit 30c stores the replacement history information of the parts. The replacement history information of the parts is, for example, the replacement date and time for each part.

The life prediction value storage unit 30d stores the life prediction value of the part. The predicted life of a part is represented by, for example, the number of operation counts of a specific operation until the part is damaged, failed, or worn out. The initial value of the life predicted value of each component is input to the life predicted value storage unit 30d, for example, when the die casting machine 100 first starts operation.

The operation history information storage unit 30b, the exchange history information storage unit 30c, and the life prediction value storage unit 30d are storage devices. The operation history information storage unit 30b, the exchange history information storage unit 30c, and the life prediction value storage unit 30d are, for example, a semiconductor memory or a hard disk.

The correction unit 30a has a function of correcting the life prediction value of a part based on the operation history information and the part replacement history information when the part is replaced.

When replacing parts, for example, make corrections to change the predicted life value to the actual number of operation counts from the previous replacement of parts to the current replacement. Alternatively, for example, a correction is made to change the life prediction value to an operation count number obtained by adding a predetermined margin to the actual operation count number from the previous replacement of parts to the current replacement.

Specifically, for example, it is assumed that the predicted life is defined by the cumulative number of mold clamping operations. When a part is damaged, broken down, or worn out and replaced, the life prediction value is corrected to change the cumulative number of mold clamping operations during the period from the previous replacement to the current replacement.

The life prediction value correction algorithm is stored in, for example, the semiconductor memory included in the correction unit 30a.

The correction unit 30a is composed of, for example, a combination of hardware and software. The correction unit 30a includes, for example, a CPU, a semiconductor memory, and a correction algorithm stored in the semiconductor memory.

The component life prediction device 30 does not necessarily have to be provided in the vicinity of the mold clamping device 10, the extrusion device 12, the injection device 14, and the control device 18. For example, a part or all of the component life prediction device 30 may be provided at a position away from the mold clamping device 10, the extrusion device 12, the injection device 14, and the control device 18. For example, a part or all of the component life prediction device 30 and the control device 18 may be connected by wireless communication. For example, it is possible to read the data stored in the component life prediction device 30 to an external storage medium. For example, the data stored in the component life prediction device 30 can be edited by the user.

The display device 20 is an input / output device of the control device 18 and the component life prediction device 30. The display device 20 has a function of accessing the control device 18 and setting desired operating conditions of the die casting machine 100 for the actual molding operation.

The display device 20 can display the operating conditions of the molding operation of the die casting machine 100. Further, the display device 20 can display, for example, an injection waveform of a molding operation, an alarm message (alarm), a number of products produced, a progress of production, quality data, and an operation time.

Further, the display device 20 can display the operation history information, the exchange history information, and the life predicted value. The display device 20 accesses, for example, the component life prediction device 30 and displays the operation count number of each operation. The display device 20 accesses, for example, the component life prediction device 30 and displays the replacement date and time of each component. Further, the display device 20 accesses, for example, the component life prediction device 30 and displays the life prediction value of each component. Further, the display device 20 has a function of accessing, for example, the component life prediction device 30 and inputting an initial value of the life prediction value of each component. Further, the display device 20 has, for example, a function of displaying the correction result of the life prediction value by the component life prediction device 30.

The display device 20 includes, for example, a liquid crystal display of a touch panel. The display device 20 includes, for example, an organic EL display of a touch panel.

Next, the operation method of the molding machine of the first embodiment will be described. The operation method of the molding machine of the first embodiment is an operation method of a molding machine including a mold clamping device, an injection device, and a control device for controlling a molding operation using the mold clamping device and the injection device. When the first component of the molding machine is replaced, the life prediction value of the first component is corrected based on the operation history of the molding machine and the replacement history of the first component.

FIG. 3 is an operation block diagram of an operation method of the molding machine of the first embodiment. The operation method of the molding machine of the first embodiment is performed using, for example, the die casting machine 100 shown in FIGS. 1 and 2.

Hereinafter, the case where the first component is the slide plate 42 of the die casting machine 100 will be described as an example. Further, a case where the life notice value and the life predicted value of the sliding plate 42 are defined by the cumulative number of mold clamping operations will be described as an example.

First, enter the initial values of the life notice value and the life prediction value of the slip plate 42. As the initial value of the life predicted value, for example, the cumulative number of mold clamping operations is 1000 times. Further, as the initial value of the life notice value, for example, the cumulative number of mold clamping operations is 990 times. The life notice value is based on the life predicted value. The life notice value is set based on the life predicted value in consideration of a predetermined safety factor.

After that, the molding operation is continued. The number of mold clamping operations is counted, and the cumulative number of mold clamping operations is calculated.

Then, after one molding operation is completed, the cumulative number of mold clamping operations is compared with the life notice value and the life prediction value.

For example, an alarm is issued when the cumulative number of mold clamping operations reaches the life warning value of 990 times. The alarm is displayed, for example, on the display device 20. For example, when an alarm is issued, a new slide plate 42 for replacement is prepared.

Also, for example, an alarm is issued when the cumulative number of mold clamping operations reaches 1000, which is the predicted life. The alarm is displayed, for example, on the display device 20. If a new slide plate 42 for replacement is not prepared at the time when the alarm is issued, a new slide plate 42 is prepared.

If a reason for replacing the sliding plate 42 occurs during or after the molding operation, the sliding plate 42 is replaced. The reason for replacement is, for example, damage, failure, or wear of the slide plate 42. For example, if the sliding plate 42 is damaged during the molding operation, the sliding plate 42 is replaced.

For example, when continuing the life prediction of the slip plate 42, the life notice value and the life prediction value of the slide plate 42 are corrected. For example, if it is decided to have replacement parts for the sliding plate 42 on hand and the life prediction of the sliding plate 42 is no longer necessary, the sliding plate 42 is excluded from the target parts for the life prediction, and the life prediction of the sliding plate 42 is performed. finish.

For example, if the sliding plate 42 is damaged after the cumulative number of mold clamping operations since the previous replacement is 1100, the predicted life of the sliding plate 42 is corrected to 1100. For example, the life notice value of the sliding plate 42 is corrected to 1000 times.

Note that the correction of the life notice value and the life prediction value may be automatically performed based on the correction algorithm stored in the correction unit 30a of the component life prediction device 30, for example. Further, the correction of the life notice value and the life prediction value may be artificially performed in consideration of various circumstances.

After that, the molding operation is continued. For example, the cumulative number of mold clamping operations for the sliding plate 42 is reset to zero.

Hereinafter, the operation and effect of the molding machine of the first embodiment and the operation method of the molding machine will be described.

In molding machines such as die casting machines and injection molding machines, the control device controls the injection device and the mold clamping device according to the desired operating conditions to manufacture the product. When a part of a molding machine is damaged, broken down, or worn out, the manufacturing of the product by the molding machine is stopped until the damaged, broken down, or worn-out part is replaced. In particular, when replacement parts are not prepared, the time until the parts are procured is added to the manufacturing downtime. Prolonged suspension of product production can result in significant losses.

If the replacement time of parts is known in advance, replacement parts can be prepared in advance. By preparing replacement parts in advance, it is possible to minimize the manufacturing downtime when the parts are damaged, broken down, or worn out.

On the other hand, an increase in cost due to excessive preparation of replacement parts can also lead to loss. Therefore, it is desired to predict the life of the parts of the molding machine with high accuracy.

The die casting machine 100 of the first embodiment includes a component life prediction device 30. The component life prediction device 30 has a function of correcting a component life prediction value based on operation history information and component replacement history information when a component is replaced. By correcting the life prediction value when replacing the parts, the life of the parts of the die casting machine 100 can be predicted with high accuracy.

Since the life of the parts can be predicted with high accuracy, replacement parts can be prepared in advance, and even if the parts are damaged, broken or worn out, the downtime of the die casting machine 100 is minimized. can. Therefore, the occurrence of a serious loss can be suppressed by stopping the production of the product for a long time. In addition, it is possible to suppress an increase in cost due to excessive preparation of replacement parts.

The operation method of the die casting machine 100 of the first embodiment can predict the life of the parts of the die casting machine 100 with high accuracy by correcting the life prediction value at the time of replacing the parts. Therefore, the occurrence of a serious loss can be suppressed by stopping the production of the product for a long time. In addition, it is possible to suppress an increase in cost due to excessive preparation of replacement parts.

The correction unit 30a may correct the life prediction value of the part based on the information at the time of a plurality of replacements in the past in the replacement history information of the part. For example, the average value of the number of operation counts from the time of the previous part replacement to the time of the latest part replacement and the number of operation counts from the time of the previous part replacement to the time of the previous part replacement is set as the life prediction value. You may make corrections. Also, for example, the smaller of the number of operation counts from the time of the previous part replacement to the time of the latest part replacement and the number of operation counts from the time of the previous part replacement to the time of the previous part replacement is the predicted life value. You may make the correction.

By correcting the life prediction value of the parts based on the information at the time of multiple replacements in the past in the parts replacement history information, the life of the parts of the die casting machine 100 can be predicted with higher accuracy.

As described above, according to the molding machine and the operating method of the molding machine of the first embodiment, it is possible to predict the life of a part with high accuracy by correcting the life prediction value at the time of replacing the part.

(Second embodiment)
In the molding machine of the second embodiment, the correction unit corrects the life predicted value of the first component at the time of replacing the first component, and then operates the operation history before the next replacement of the first component. It differs from the molding machine of the first embodiment in that the corrected life prediction value of the first component is further corrected based on the information. Further, in the operation method of the molding machine of the second embodiment, after the life predicted value of the first part is corrected at the time of replacing the first part, and before the next replacement of the first part, molding is performed. It differs from the operation method of the molding machine of the first embodiment in that the corrected life prediction value of the first component is further corrected based on the operation history of the machine. Hereinafter, some descriptions of the content that overlaps with the molding machine of the first embodiment and the operation method of the molding machine will be omitted.

The molding machine of the second embodiment is the die casting machine 100 shown in FIGS. 1 and 2.

The correction unit 30a of the component life prediction device 30 corrects the life prediction value of the component when the component is replaced, and then corrects the lifetime prediction value of the component based on the operation history information between the time when the component is replaced and the time when the component is replaced. Has a function of further correcting. In other words, the correction unit 30a has a function of correcting the life prediction value of the component based on the operation history information before the component is damaged, failed, or consumed.

For example, when the operation of the molding machine exceeds the range assumed in advance, the correction unit 30a corrects the predicted life value of the part even when the part is not replaced. The component life prediction device 30 has, for example, a function of monitoring whether or not the operation of the molding machine exceeds a range assumed in advance.

FIG. 4 is an operation block diagram of an operation method of the molding machine of the second embodiment. The operation method of the molding machine of the second embodiment is performed using, for example, the die casting machine 100 shown in FIGS. 1 and 2.

Hereinafter, the case where the first component is the slide plate 42 of the die casting machine 100 will be described as an example. Further, a case where the predicted life of the sliding plate 42 is defined by the cumulative number of mold clamping operations will be described as an example.

First, enter the initial value of the life prediction value of the sliding plate 42. As the initial value of the life predicted value, for example, the cumulative number of mold clamping operations is 1000 times. Further, as the initial value of the life notice value, for example, the cumulative number of mold clamping operations is 990 times. The life notice value is based on the life predicted value. In addition, the cumulative number of mold clamping operations is set in advance to be 30 times or less per week.

After that, the molding operation is continued. The number of mold clamping operations is counted, and the cumulative number of mold clamping operations is calculated.

Then, after one molding operation is completed, for example, it is monitored whether or not the cumulative number of times of the mold clamping operation in one week is 30 times or less. If the cumulative number of mold clamping operations per week is 30 or less, which is the expected range, the molding operation is continued.

If the cumulative number of times of mold clamping operation per week exceeds 30 times, the life notice value and life prediction value of the sliding plate 42 are corrected. For example, the life prediction value is corrected to 900 times, which is 90% of the initial value. For example, the life notice value is corrected to 800 times.

Then, compare the cumulative number of mold clamping operations with the life notice value and life prediction value.

For example, an alarm is issued when the cumulative number of mold clamping operations reaches the life warning value of 800 or 990 times. The alarm is displayed, for example, on the display device 20. For example, when an alarm is issued, a new slide plate 42 for replacement is prepared.

Further, for example, an alarm is issued when the cumulative number of mold clamping operations reaches the predicted life of 990 or 1000 times. The alarm is displayed, for example, on the display device 20. If a new slide plate 42 for replacement is not prepared at the time when the alarm is issued, a new slide plate 42 is prepared.

For example, if it is decided to have replacement parts for the sliding plate 42 on hand and the life prediction of the sliding plate 42 is no longer necessary, the sliding plate 42 is excluded from the target parts for the life prediction, and the life prediction of the sliding plate 42 is predicted. To finish.

For example, if the sliding plate 42 is damaged after the cumulative number of mold clamping operations has been 950 since the previous replacement, the predicted life of the sliding plate 42 is corrected to 950 times. Further, for example, the life notice value of the sliding plate 42 is corrected to 900 times.

After that, the molding operation is continued. For example, the cumulative number of mold clamping operations is reset to zero.

If the operation of the die casting machine 100 exceeds the range assumed in advance, it is expected that an excessive load will be applied to the parts of the die casting machine 100 and the life of the parts will be shortened.

In the operation method of the molding machine and the molding machine of the second embodiment, when the operation of the die casting machine 100 exceeds the range assumed in advance, the predicted value of the life of the parts is corrected even if the parts are not replaced. Therefore, the life of the parts of the die casting machine 100 can be predicted with higher accuracy as compared with the first embodiment.

As described above, according to the molding machine and the operating method of the molding machine of the second embodiment, it is possible to predict the life of the part with high accuracy by correcting the life predicted value at the time of replacing the part. In addition, when the operation of the molding machine exceeds the range assumed in advance, it is possible to predict the life of the part with higher accuracy by correcting the predicted value of the life of the part even when the part is not replaced. It becomes.

(Third embodiment)
In the molding machine of the third embodiment, the replacement history information storage unit stores the replacement history information of the second part, and the correction unit stores the replacement history information of the second part when the first part is replaced. Based on this, it differs from the molding machine of the first embodiment in that it corrects the life predicted value of the first component. Further, the operation method of the molding machine of the third embodiment is the first in that when the first part is replaced, the life predicted value of the first part is corrected based on the replacement history of the second part. It is different from the operation method of the molding machine of the embodiment. Hereinafter, some descriptions of the content that overlaps with the molding machine of the first embodiment and the operation method of the molding machine will be omitted.

The molding machine of the third embodiment is the die casting machine 100 shown in FIGS. 1 and 2.

The replacement history information storage unit 30c of the component life prediction device 30 stores the replacement history information of the first component and the second component. Then, when the first component is replaced, the correction unit 30a of the component life prediction device 30 uses the operation history information, the replacement history information of the first component, and the replacement history information of the second component as the first component. It has a function to correct the predicted life value of parts.

For example, the correction unit 30a has a function of correcting the life prediction value of the first component according to the operation count number of the molding operation from the previous replacement of the second component when the first component is replaced. .. For example, the correction unit 30a increases the life prediction value of the first component when the operation count number that defines the life prediction value of the second component is 10% or less of the life prediction value of the second component. It has a function to make corrections.

FIG. 5 is an operation block diagram of an operation method of the molding machine of the third embodiment. The operation method of the molding machine of the third embodiment is performed using, for example, the die casting machine 100 shown in FIGS. 1 and 2.

Hereinafter, a case where the first component is the plunger tip 48 of the injection device 14 and the second component is the injection sleeve 50 of the injection device 14 will be described as an example.

First, enter the initial values of the life notice value and life prediction value of the plunger tip 48. As the initial value of the life predicted value, for example, the cumulative number of injection operations is 50 times. As the initial value of the life notice value, for example, the cumulative number of injection operations is 45 times.

Next, enter the initial value of the life prediction value of the injection sleeve 50. As the initial value of the life predicted value, for example, the cumulative number of injection operations is 200 times.

After that, the molding operation is continued. The number of injection operations is counted and the cumulative number of injection operations is calculated.

Then, after one molding operation is completed, the number of injection operations is compared with the life notice value and the life prediction value of the plunger tip 48.

For example, an alarm is issued when the cumulative number of injection operations reaches the life warning value of 45 times. The alarm is displayed, for example, on the display device 20. For example, when an alarm is issued, a replacement plunger tip 48 is prepared.

Also, for example, an alarm is issued when the cumulative number of injection operations reaches 50, which is the predicted life. The alarm is displayed, for example, on the display device 20. If a replacement plunger tip 48 is not prepared at the time when the alarm is issued, a new plunger tip 48 is prepared.

If a reason for replacing the plunger tip 48 occurs during or after the molding operation, replace the plunger tip 48. The reason for replacement is, for example, damage, failure, or wear of the plunger tip 48. For example, if the plunger tip 48 is damaged, the plunger tip 48 is replaced. For example, when continuing the life prediction of the plunger tip 48, the life prediction value of the plunger tip 48 is corrected.

For example, if the plunger tip 48 is damaged after the cumulative number of injection operations has been 60 times since the previous replacement, the life prediction value of the plunger tip 48 is corrected from the initial value of 50 times to 60 times. Further, the life notice value of the plunger tip 48 is corrected from the initial value of 45 times to 50 times.

Further, the life prediction value of the plunger tip 48 is corrected according to the cumulative number of injection operations since the previous replacement of the injection sleeve 50. For example, when the cumulative number of injection operations that define the life prediction value of the injection sleeve 50 is 10% or less of 200 times, which is the life prediction value of the injection sleeve 50, the life prediction value of the plunger tip 48 is increased. In addition, the life notice value of the plunger tip 48 is increased.

For example, if the cumulative number of injection operations that specify the life prediction value of the injection sleeve 50 is 10, the life prediction value of the plunger tip 48 is multiplied by 1.2. That is, it is corrected to 72 times, which is 1.2 times 60 times. Further, the life notice value of the plunger tip 48 is corrected to 60 times, which is 1.2 times 50 times.

After that, the molding operation is continued. For example, the cumulative number of injection operations for the plunger tip 48 is reset to zero.

For example, there may be a causal relationship between the life of the first part of the die casting machine 100 and the replacement time of the second part. For example, consider the case where the first component is the plunger tip 48 that moves in the injection sleeve 50 and the second component is the injection sleeve 50. If the elapsed time from the replacement of the injection sleeve 50 is short, for example, the life of the plunger tip 48 tends to be extended. In other words, when the cumulative number of injection operations from the replacement of the injection sleeve 50 is small, the life of the plunger tip 48 tends to be extended.

Therefore, when the cumulative number of injection operations from the replacement of the injection sleeve 50 is small, the life of the plunger tip 48 can be predicted with high accuracy by correcting in the direction of increasing the life prediction value of the plunger tip 48.

The molding machine and the operation method of the molding machine of the third embodiment are based on the operation history information, the replacement history information of the first part, and the replacement history information of the second part at the time of replacement of the first part. Correct the life prediction value of the first component. Therefore, the life of the parts of the die casting machine 100 can be predicted with higher accuracy as compared with the first embodiment.

As described above, according to the molding machine and the operating method of the molding machine of the third embodiment, the life of the first part is predicted with high accuracy by correcting the life predicted value at the time of replacing the first part. Is possible. Further, by correcting the life prediction value of the first part based on the replacement history information of the second part, the life of the first part can be predicted with higher accuracy.

(Fourth Embodiment)
The molding machine of the fourth embodiment is different from the molding machine of the third embodiment in that the correction unit corrects the life predicted value of the second part when the first part is replaced. Further, the operating method of the molding machine of the fourth embodiment is different from the operating method of the molding machine of the third embodiment in that the life predicted value of the second component is corrected when the first component is replaced. .. Hereinafter, some descriptions of the contents overlapping with the molding machine of the first embodiment and the operation method of the molding machine of the third embodiment will be omitted.

The molding machine of the fourth embodiment is the die casting machine 100 shown in FIGS. 1 and 2.

The replacement history information storage unit 30c of the component life prediction device 30 stores the replacement history information of the first component and the second component. The correction unit 30a of the component life prediction device 30 has a function of correcting the life prediction value of the second component when the first component is replaced.

For example, the correction unit 30a has a function of correcting the life predicted value of the second part to be large when the first part is replaced.

FIG. 6 is an operation block diagram of an operation method of the molding machine according to the fourth embodiment. The operation method of the molding machine of the fourth embodiment is performed using, for example, the die casting machine 100 shown in FIGS. 1 and 2.

Hereinafter, a case where the first component is the plunger tip 48 of the injection device 14 and the second component is the injection sleeve 50 of the injection device 14 will be described as an example.

First, enter the initial value of the life prediction value of the plunger tip 48. As the initial value of the life predicted value, for example, the cumulative number of injection operations is 50 times. As the initial value of the life notice value, for example, the cumulative number of injection operations is 45 times.

Next, input the initial values of the life notice value and the life prediction value of the injection sleeve 50. As the initial value of the life predicted value, for example, the cumulative number of injection operations is 200 times. As the initial value of the life notice value, for example, the cumulative number of injection operations is 180 times.

After that, the molding operation is continued. The number of injection operations is counted and the cumulative number of injection operations is calculated.

For example, an alarm is issued when the cumulative number of injection operations reaches the life warning value of 45 times. The alarm is displayed, for example, on the display device 20. For example, when an alarm is issued, a replacement plunger tip 48 is prepared.

Also, for example, an alarm is issued when the cumulative number of injection operations reaches 50, which is the predicted life. The alarm is displayed, for example, on the display device 20. If a replacement plunger tip 48 is not prepared at the time when the alarm is issued, a new plunger tip 48 is prepared.

If a reason for replacing the plunger tip 48 occurs during or after the molding operation, replace the plunger tip 48. The reason for replacement is, for example, damage, failure, or wear of the plunger tip 48. For example, if the plunger tip 48 is damaged, the plunger tip 48 is replaced. For example, when continuing the life prediction of the plunger tip 48, the life prediction value of the plunger tip 48 is corrected.

For example, if the plunger tip 48 is damaged after the cumulative number of injection operations has been 60 times since the previous replacement, the life prediction value of the plunger tip 48 is corrected from the initial value of 50 times to 60 times. Further, the life notice value of the plunger tip 48 is corrected from the initial value of 45 times to 50 times.

Further, the life prediction value of the injection sleeve 50 is corrected to be large. For example, when the cumulative number of injection operations that define the life prediction value of the injection sleeve 50 at the time of replacement of the plunger tip 48 is 100 times, which is half of the 200 times that is the life prediction value of the injection sleeve 50, the injection sleeve 50 A correction is made to lengthen the predicted life value of 220 times. The predicted life of the injection sleeve 50 is calculated by the following calculation. 100 times (the number of injection operations already accumulated) + 100 times (the number of remaining injection operations until the predicted life is reached) x 1.2 times = 220 times. Further, for example, the life notice value of the injection sleeve 50 is corrected to 200 times.

After that, the molding operation is continued. For example, the cumulative number of injection operations for the injection sleeve 50 is reset to zero.

For example, there may be a causal relationship between the replacement time of the first part of the die casting machine 100 and the life of the second part. For example, consider the case where the first component is the plunger tip 48 that moves in the injection sleeve 50 and the second component is the injection sleeve 50. If the elapsed time from the replacement of the plunger tip 48 is short, the life of the injection sleeve 50 tends to be extended. In other words, after replacing the plunger tip 48, the life of the injection sleeve 50 tends to be extended.

Therefore, when the plunger tip 48 is replaced, the life of the injection sleeve 50 can be predicted with high accuracy by correcting in the direction of increasing the life prediction value of the injection sleeve 50 according to a predetermined standard.

The molding machine and the operating method of the molding machine of the fourth embodiment correct the life predicted value of the second part when the first part is replaced. Therefore, the life of the parts of the die casting machine 100 can be predicted with higher accuracy as compared with the first embodiment.

As described above, according to the molding machine and the operating method of the molding machine of the fourth embodiment, the life of the first part is predicted with high accuracy by correcting the life predicted value at the time of replacing the first part. Is possible. Further, by correcting the life predicted value of the second part at the time of replacing the first part, it is possible to predict the life of the second part with higher accuracy.

(Fifth Embodiment)
The molding machine of the fifth embodiment further includes an environment information storage unit that stores environment history information of the environment in which the mold clamping device and the injection device are placed, and the correction unit is an environment when the first component is replaced. It differs from the molding machine of the first embodiment in that the life predicted value of the first component is corrected based on the history information. Further, the operation method of the molding machine of the fifth embodiment is to correct the life predicted value of the first part based on the environmental history when the first part is replaced, and the molding machine of the first embodiment is used. It is different from the operation method of. Hereinafter, some descriptions of the content that overlaps with the molding machine of the first embodiment and the operation method of the molding machine will be omitted.

FIG. 7 is a schematic view showing the molding machine of the fifth embodiment. FIG. 7 is a plan layout of the molding machine according to the fifth embodiment. The molding machine of the fifth embodiment is a die casting machine 200.

As shown in FIG. 1, the die casting machine 100 includes a mold clamping device 10, an extrusion device 12, an injection device 14, a mold 16, a control device 18, a display device 20, an operation device 24, a spray device 26, a hot water supply device 28, and A component life prediction device 30 is provided. The component life prediction device 30 includes a correction unit 30a, an operation history information storage unit 30b, a replacement history information storage unit 30c, a life prediction value storage unit 30d, and an environment information storage unit 30e.

The environmental information storage unit 30e of the component life prediction device 30 stores the environmental history information of the environment in which the mold clamping device 10 and the injection device 14 are placed. The environmental history information is, for example, the temperature and humidity associated with the date and time.

By associating the temperature with the date and time, for example, the cumulative number of days when the temperature exceeds a specific temperature in a specific period can be grasped. Further, since the humidity is associated with the date and time, for example, the cumulative number of days when the specific humidity is exceeded in a specific period can be grasped.

The environmental information storage unit 30e is a storage device. The environment information storage unit 30e is, for example, a semiconductor memory or a hard disk.

FIG. 8 is an operation block diagram of an operation method of the molding machine according to the fifth embodiment. The operation method of the molding machine of the fifth embodiment is performed by using, for example, the die casting machine 100 shown in FIGS. 1 and 2.

Hereinafter, the case where the first component is the slide plate 42 of the die casting machine 100 will be described as an example. Further, a case where the predicted life of the sliding plate 42 is defined by the cumulative number of mold clamping operations will be described as an example.

First, enter the initial values of the life notice value and the life prediction value of the slip plate 42. As the initial value of the life predicted value, for example, the cumulative number of mold clamping operations is 1000 times. Further, as the initial value of the life notice value, for example, the cumulative number of mold clamping operations is 990 times. The life notice value is based on the life predicted value.

After that, the molding operation is continued. The number of mold clamping operations is counted, and the cumulative number of mold clamping operations is calculated.

Then, after one molding operation is completed, the cumulative number of mold clamping operations, the life notice value, and the life prediction value are compared.

For example, an alarm is issued when the cumulative number of mold clamping operations reaches the life warning value of 990 times. The alarm is displayed, for example, on the display device 20. For example, when an alarm is issued, a new slide plate 42 for replacement is prepared.

Also, for example, an alarm is issued when the cumulative number of mold clamping operations reaches 1000, which is the predicted life. The alarm is displayed, for example, on the display device 20. If a new slide plate 42 for replacement is not prepared at the time when the alarm is issued, a new slide plate 42 is prepared.

If a reason for replacing the sliding plate 42 occurs during or after the molding operation, the sliding plate 42 is replaced. The reason for replacement is, for example, damage, failure, or wear of the slide plate 42. For example, if the sliding plate 42 is damaged during the molding operation, the sliding plate 42 is replaced.

For example, when continuing the life prediction of the slip plate 42, the life notice value and the life prediction value of the slide plate 42 are corrected.

For example, if the sliding plate 42 is damaged after the cumulative number of mold clamping operations since the previous replacement is 1100, the predicted life of the sliding plate 42 is corrected to 1100. Further, for example, the life notice value of the sliding plate 42 is corrected to 1000 times.

Next, calculate the percentage of days when the specified temperature was exceeded between the previous replacement and the current replacement. The above ratio is calculated, for example, by the correction unit 30a based on the environment history information stored in the environment information storage unit 30e.

For example, when the above ratio exceeds a predetermined threshold value, the life prediction value of the sliding plate 42 is further corrected. For example, when the above ratio exceeds 50%, the life prediction value of the sliding plate 42 is corrected in the direction of decreasing. For example, the life prediction value of the sliding plate 42 is corrected to 990 times, which is 0.9 times. For example, the life notice value of the sliding plate 42 is corrected to 900 times, which is 0.9 times.

After that, the molding operation is continued. For example, the cumulative number of mold clamping operations for the sliding plate 42 is reset to zero.

For example, if the environment in which the die casting machine 100 is placed exceeds the expected range, the deterioration of parts may progress rapidly. For example, if the temperature or humidity in which the die casting machine 100 is placed exceeds an assumed range, the deterioration of parts may progress rapidly.

The molding machine and the operating method of the molding machine of the fifth embodiment correct the life prediction value of the parts when the environment in which the die casting machine 100 is placed exceeds the range assumed in advance. Therefore, the life of the parts of the die casting machine 100 can be predicted with higher accuracy as compared with the first embodiment.

As described above, according to the molding machine and the operating method of the molding machine of the fifth embodiment, it is possible to predict the life of the parts with high accuracy by correcting the life predicted value at the time of replacing the parts. Further, when the environment in which the molding machine is placed exceeds the range assumed in advance, the life of the part can be predicted with higher accuracy by correcting the predicted value of the life of the part.

(Sixth Embodiment)
The molding machine of the sixth embodiment is different from the molding machine of the first embodiment in that the life predicted value of the first component includes different predicted values based on different operation counts in the operation history information. .. Further, in the operation method of the molding machine of the sixth embodiment, the life predicted value of the first component includes different predicted values based on different operation counts in the operation history information, that is, the first embodiment. It is different from the operation method of the molding machine. Hereinafter, some descriptions of the content that overlaps with the molding machine of the first embodiment and the operation method of the molding machine will be omitted.

The molding machine of the sixth embodiment is the die casting machine 100 shown in FIGS. 1 and 2.

The life prediction value of the part stored in the life prediction value storage unit 30d of the part life prediction device 30 includes different prediction values based on different operation counts in the operation history information. The life predicted value of the component stored in the life predicted value storage unit 30d includes, for example, a first predicted value and a second predicted value. Further, the life notice value includes, for example, a first notice value and a second notice value.

For example, when the part is a sliding plate 42, the first predicted value is defined by the cumulative number of mold clamping operations, and the second predicted value is defined by the cumulative number of mold clamping operations. Further, for example, the first predicted value is defined by the cumulative number of mold clamping operations, and the second predicted value is defined by the cumulative number of mold opening / closing operations.

The part is a sliding plate 42. For example, the initial value of the first predicted value is 1000 times the cumulative number of times of the mold clamping operation, and the initial value of the second predicted value is 1000 hours of the cumulative time of the mold clamping operation. For example, the initial value of the first notice value is 900 times for the cumulative number of times of the mold clamping operation, and the initial value of the second notice value is 900 hours for the cumulative number of times of the mold clamping operation.

In the operation method of the die casting machine 100, for example, an alarm is issued when the cumulative number of mold clamping operations reaches 900 times, which is the first notice value. Further, for example, an alarm is issued when the cumulative mold clamping operation time reaches 900 hours, which is the second notice value.

In the operation method of the die casting machine 100, for example, an alarm is issued when the cumulative number of mold clamping operations reaches 1000 times, which is the first predicted value. Further, for example, an alarm is issued when the cumulative mold clamping operation time reaches the second 1000 hours.

When the slip plate 42 is damaged and the slide plate 42 is replaced, both the first predicted value and the second predicted value of the slip plate 42 are corrected. When the sliding plate 42 is replaced, both the first warning value and the second warning value of the sliding plate 42 are corrected.

In the molding machine and the operation method of the molding machine of the sixth embodiment, the life predicted value of the component includes different predicted values based on different operation counts in the operation history information. Therefore, the life of the parts of the die casting machine 100 can be predicted with higher accuracy as compared with the first embodiment.

As described above, according to the molding machine and the operating method of the molding machine of the sixth embodiment, it is possible to predict the life of the parts with high accuracy by correcting the life predicted value at the time of replacing the parts. Further, the life predicted value of the component includes different predicted values based on different operation counts in the operation history information, so that the life of the component can be predicted with higher accuracy.

(7th Embodiment)
The method of operating the molding machine of the seventh embodiment is that the life prediction value of the first part is not corrected when the reason for replacement of the first part is accidental, that is, the molding machine of the first embodiment. It is different from the operation method. Hereinafter, some descriptions of the contents overlapping with the operation method of the molding machine of the first embodiment will be omitted.

The molding machine of the seventh embodiment is the die casting machine 100 shown in FIGS. 1 and 2.

For example, if the part is a sliding plate 42 and a reason for replacing the sliding plate 42 occurs, the sliding plate 42 is replaced. In this case, for example, if the reason for replacement is accidental, the life prediction of the slip plate 42 is not corrected.

Whether or not the reason for replacement is accidental is determined, for example, by analyzing the measured values of various sensors provided in the die casting machine 100 in the control device 18. An accidental exchange event is, for example, a case where the exchange event is caused by a natural disaster. The reason for replacement is accidental, for example, when the reason for replacement occurs in a chain due to the destruction of a part different from the first part.

In the operation method of the molding machine of the seventh embodiment, the life prediction value of the part is not affected by the accidental replacement reason of the part. Therefore, the life of the parts of the die casting machine 100 can be predicted with higher accuracy as compared with the first embodiment.

As described above, according to the operation method of the molding machine of the seventh embodiment, it is possible to predict the life of the parts with high accuracy by correcting the life prediction value at the time of replacing the parts.

(8th Embodiment)
The method of operating the molding machine of the eighth embodiment is that when the first part reaches the life notice value or the life predicted value, the first part is replaced, that is, the molding machine of the first embodiment. It is different from the operation method. Hereinafter, some descriptions of the contents overlapping with the operation method of the molding machine of the first embodiment will be omitted.

The molding machine of the eighth embodiment is the die casting machine 100 shown in FIGS. 1 and 2.

For example, the part is a sliding plate 42, and for example, the sliding plate 42 is replaced when the cumulative number of mold clamping operations reaches the life notice value or the life predicted value and an alarm is issued. In other words, the sliding plate 42 is replaced before a replacement event such as damage, failure, or wear occurs on the sliding plate 42. In this case, the life notice value and the life prediction value of the slip plate 42 are not corrected.

The method of operating the molding machine according to the eighth embodiment is to replace the sliding plate 42 before a replacement event such as damage, failure, or wear occurs on the sliding plate 42. Therefore, the die casting machine 100 can be operated more safely.

If the sliding plate 42 is damaged, broken down, or worn out before the cumulative number of mold clamping operations reaches the life notice value or the life predicted value, the same as in the first embodiment. The sliding plate 42 is replaced, and the life warning value and the life predicted value of the sliding plate 42 are corrected.

As described above, according to the operation method of the molding machine of the eighth embodiment, it is possible to predict the life of the parts with high accuracy by correcting the life prediction value at the time of replacing the parts. In addition, the molding machine can be operated more safely by not using the parts beyond the life notice value or the life predicted value.

The embodiment of the present invention has been described above with reference to specific examples. However, the present invention is not limited to these specific examples. In the embodiment, although the description of the portion of the molding machine or the like that is not directly necessary for the description of the present invention is omitted, the required elements related to the molding machine or the like can be appropriately selected and used.

For example, in the embodiment, a die casting machine has been described as an example of a molding machine, but the molding machine is not limited to the die casting machine. For example, the molding machine may be an injection molding machine.

In addition, all molding machines having the elements of the present invention and which can be appropriately redesigned by those skilled in the art are included in the scope of the present invention. The scope of the invention is defined by the scope of claims and their equivalents.

10 Mold clamping device 12 Extruding device 14 Injection device 16 Mold 16a Fixed mold 16b Movable mold 18 Control device 20 Display device 24 Operation device 26 Spray device 28 Hot water supply device 30 Parts life prediction device 30a Correction unit 30b Operation history information storage unit 30c Replacement history information storage unit 30d Life prediction value storage unit 32 Base 34 Fixed die plate 36 Movable die plate 38 Link housing 40 Tie bar 42 Sliding plate (first part)
44 Type tightening cylinder 46 Injection cylinder 48 Plunger tip (first part)
50 Injection sleeve (second part)
100 Die casting machine (molding machine)
200 Die casting machine (molding machine)

Claims (15)

With the mold clamping device
With the injection device,
A control device that controls a molding operation using the mold clamping device and the injection device, and
An operation history information storage unit that stores operation history information of the molding operation,
The replacement history information storage unit that stores the replacement history information of the first part,
A life predicted value storage unit that stores the life predicted value of the first component,
A component life prediction device including the operation history information and a correction unit that corrects the life prediction value of the first component based on the replacement history information of the first component when the first component is replaced. ,
A display device capable of displaying the operation history information, the exchange history information, and the life predicted value, and
A molding machine characterized by being equipped with. The correction unit corrects the predicted life value of the first component at the time of replacement of the first component, and then corrects the life prediction value of the first component based on the operation history information before the next replacement of the first component. The molding machine according to claim 1, wherein the predicted life life value of the first component is further corrected. Claim 1 is characterized in that the correction unit corrects the life predicted value of the first part based on the information at the time of a plurality of past replacements in the replacement history information of the first part. Or the molding machine according to claim 2. The replacement history information storage unit stores the replacement history information of the second part.
The molding machine according to any one of claims 1 to 3, wherein the life predicted value storage unit stores the life predicted value of the second component. The molding machine according to claim 4, wherein the correction unit corrects the life predicted value of the first component based on the replacement history information of the second component when the first component is replaced. .. The molding machine according to claim 4 or 5, wherein the correction unit corrects the life predicted value of the second part when the first part is replaced. Further, an environmental information storage unit for storing environmental history information of the environment in which the mold clamping device and the injection device are placed is provided.
The one according to any one of claims 1 to 6, wherein the correction unit corrects the life predicted value of the first component based on the environmental history information when the first component is replaced. Molding machine. The molding machine according to any one of claims 1 to 7, wherein an alarm is displayed on the display device based on the operation history information and the life predicted value of the first component. The molding machine according to any one of claims 1 to 8, wherein the life predicted value of the first component includes different predicted values based on different operation counts in the operation history information. With the mold clamping device
With the injection device,
A method of operating a molding machine including a mold clamping device and a control device for controlling a molding operation using the injection device.
When the first component of the molding machine is replaced, the molding machine is characterized in that the life prediction value of the first component is corrected based on the operation history of the molding machine and the replacement history of the first component. How it works. After correcting the life prediction value of the first part at the time of replacing the first part, and then before the next replacement of the first part, the correction is made based on the operation history of the molding machine. The operating method of the molding machine according to claim 10, wherein the life predicted value of the first component is further corrected. The operating method of the molding machine according to claim 10 or 11, wherein the life predicted value of the first part is corrected based on the information at the time of a plurality of past replacements of the first part. The molding according to any one of claims 10 to 12, wherein when the first part is replaced, the life predicted value of the first part is corrected based on the replacement history of the second part. How the machine operates. The method of operating the molding machine according to any one of claims 10 to 13, wherein the life predicted value of the second component is corrected when the first component is replaced. Claim 10 to claim 10, wherein when the first part is replaced, the life predicted value of the first part is corrected based on the environmental history of the environment in which the mold clamping device and the injection device are placed. Item 14. The method of operating the molding machine according to any one of the items.

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