Molding machine and method of operating the molding machine

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

[Technical Field]

[0001] The present invention relates to a molding machine and a method for operating the molding machine, and more particularly to a molding machine and a method for operating the molding machine that predicts the lifespan of a part. [Background technology]

[0002] In molding machines such as die-casting machines and injection molding machines, a control device controls the injection unit and mold clamping unit according to desired operating conditions to manufacture products. When a molding machine part breaks, malfunctions, or wears out, production of products by the molding machine stops until the broken, malfunctioned, or worn part is replaced. In particular, if replacement parts are not available, the time it takes to procure the parts adds to the production downtime. A long stoppage of product production can result in significant losses.

[0003] If the replacement timing of a part is known in advance, the replacement part can be prepared in advance. By preparing replacement parts in advance, it is possible to minimize the downtime of production when a part is damaged, malfunctions, or worn out.

[0004] On the other hand, the increased costs of having an excess of replacement parts on hand can also lead to losses. For this reason, it is desirable to be able to predict the lifespan of molding machine parts with high accuracy. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] Japanese Patent Application Publication No. 2019-36158 Summary of the Invention [Problem to be solved by the invention]

[0006] The problem to be solved by the present invention is to provide a molding machine and a method of operating the molding machine that make it possible to predict the lifespan of parts with high accuracy. [Means for solving the problem]

[0007] A molding machine according to one aspect of the present invention includes a part life prediction device including a mold clamping unit, an injection unit, a control unit that controls a molding operation using the mold clamping unit and the injection unit, an operation history information storage unit that stores operation history information of the molding operation, a replacement history information storage unit that stores replacement history information of a first part, a life prediction value storage unit that stores a life prediction value of the first part, and a correction unit that corrects the life prediction value of the first part based on the operation history information and the replacement history information of the first part when the first part is replaced. and a display device capable of displaying the operation history information, the replacement history information, and the life prediction value, wherein the first part includes a slide plate, the operation history information includes a cumulative number of mold clamping operations linked to a date and time, the replacement history information includes a date and time of replacement of the slide plate, and when the first part is the slide plate, at the time of replacement of the slide plate, the correction unit corrects the life prediction value of the slide plate based on the cumulative number of mold clamping operations from the previous replacement of the slide plate to the current replacement of the slide plate. the replacement history information storage unit stores replacement history information of a second part that has a causal relationship with the life and replacement timing of the first part; the life prediction value storage unit stores a life prediction value of the second part; the correction unit corrects the life prediction value of the first part based on the replacement history information of the second part when the first part is replaced; the first part includes a plunger tip of the injection device; and the second part includes an injection sleeve of the injection device. .

[0008] In the molding machine of the above aspect, it is preferable that, after correcting the life prediction value of the first part when the first part is replaced, the correction unit further corrects the corrected life prediction value of the first part based on the operation history information until the next time the first part is replaced.

[0009] In the molding machine of the above aspect, it is preferable that the correction unit corrects the life prediction value of the first part based on information on a plurality of past replacements in the replacement history information of the first part.

[0010] In the molding machine of the above aspect, it is preferable that the replacement history information storage unit stores replacement history information of a second part, and the life prediction value storage unit stores a life prediction value of the second part.

[0011] In the molding machine of the above aspect, it is preferable that the correction unit corrects the life prediction value of the first part based on replacement history information of the second part when the first part is replaced.

[0012] In the molding machine of the above aspect, it is preferable that the correction unit corrects the predicted life value of the second component when the first component is replaced.

[0013] In the molding machine of the above aspect, it is preferable that the molding machine further comprises an environmental information storage unit that stores environmental history information of the environment in which the mold clamping unit and the injection unit are placed, and that the correction unit corrects the predicted life value of the first part based on the environmental history information when the first part is replaced.

[0014] In the molding machine of the above aspect, it is preferable that a warning is displayed on the display device based on the operation history information and a life prediction value of the first component.

[0015] In the molding machine of the above aspect, it is preferable that the predicted life value of the first component includes different predicted values ​​based on different operation counts in the operation history information.

[0016] A method for operating a molding machine according to one aspect of the present invention is a method for operating a molding machine including a mold clamping unit, an injection unit, and a control unit that controls a molding operation using the mold clamping unit and the injection unit, wherein, when a first part of the molding machine is replaced, a predicted life value of the first part is corrected based on an operation history of the molding machine and a replacement history of the first part, the first part including a slide plate, the operation history including a cumulative number of mold clamping operations linked to a date and time, and the replacement history including a date and time of replacement of the slide plate, and if the first part is the slide plate, the predicted life value of the slide plate is corrected based on the cumulative number of mold clamping operations from a previous replacement of the slide plate to a current replacement of the slide plate. When the first component is replaced, a predicted life value of the first component is corrected based on a replacement history of a second component that has a causal relationship with the life and replacement time of the first component, the first component including a plunger tip of the injection device, and the second component including an injection sleeve of the injection device. .

[0017] In the method for operating a molding machine of the above aspect, after correcting the predicted life value of the first part when the first part is replaced, it is preferable that the corrected predicted life value of the first part is further corrected based on the operating history of the molding machine until the next time the first part is replaced.

[0018] In the method for operating a molding machine according to the above aspect, it is preferable that the predicted life value of the first part is corrected based on information on a plurality of past replacements of the first part.

[0019] In the method for operating a molding machine according to the above aspect, it is preferable that, when the first part is replaced, the predicted life value of the first part is corrected based on the replacement history of the second part.

[0020] In the method for operating a molding machine according to the above aspect, it is preferable that the predicted life value of the second component is corrected when the first component is replaced.

[0021] In the method of operating a molding machine of the above aspect, when the first part is replaced, it is preferable to correct the predicted life value of the first part based on the environmental history of the environment in which the mold clamping device and the injection device are placed. [Effects of the Invention]

[0022] According to the present invention, it is possible to provide a molding machine and a molding machine operating method that make it possible to predict the lifespan of parts with high accuracy. [Brief explanation of the drawings]

[0023] [Figure 1] FIG. 1 is a schematic view showing a molding machine according to a first embodiment. [Figure 2] FIG. 1 is a schematic view of a part of a molding machine according to a first embodiment. [Figure 3] FIG. 2 is an operational block diagram of the operating method of the molding machine according to the first embodiment. [Figure 4] FIG. 10 is an operational block diagram of a method for operating a molding machine according to a second embodiment. [Figure 5] FIG. 10 is an operational block diagram of a method for operating a molding machine according to a third embodiment. [Figure 6] FIG. 10 is an operational block diagram of a method for operating a molding machine according to a fourth embodiment. [Figure 7] FIG. 10 is a schematic view showing a molding machine according to a fifth embodiment. [Figure 8] FIG. 11 is an operational block diagram of a method for operating a molding machine according to a fifth embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0024] Hereinafter, an embodiment of the present invention will be described with reference to the drawings.

[0025] (First embodiment) The molding machine of the first embodiment includes a mold clamping device, an injection device, a control device that controls molding operations using the mold clamping device and the injection device, a component life prediction device including an operation history information storage unit that stores operation history information of the molding operations, a replacement history information storage unit that stores replacement history information of a first component, a life prediction value storage unit that stores a life prediction value of the first component, and a correction unit that corrects the life prediction value of the first component based on the operation history information and the replacement history information of the first component when the first component is replaced, and a display device that can display the operation history information, replacement history information, and life prediction value.

[0026] FIG. 1 is a schematic diagram showing a molding machine of a first embodiment. FIG. 1 is a plan layout diagram of the molding machine of the first embodiment. FIG. 2 is a schematic diagram of a part of the molding machine of the first embodiment. FIG. 2 is a side view of the mold clamping device, extrusion device, injection device, and mold of the molding machine of the first embodiment. The molding machine of the first embodiment is a die-casting machine 100.

[0027] 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 part life prediction device 30. The part 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.

[0028] 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, tie bars 40, a slide plate 42, a clamping cylinder 44, an injection cylinder 46, a plunger tip 48, and an injection sleeve 50.

[0029] The die-casting machine 100 is a machine that manufactures die-cast products by injecting liquid metal (molten metal) into a cavity (Ca in FIG. 2) formed in a die 16 and solidifying the metal within the die 16. The metal is, for example, an aluminum alloy, a zinc alloy, or a magnesium alloy.

[0030] The mold 16 is provided between the mold clamping unit 10 and the injection unit 14. The mold 16 includes, for example, a fixed mold 16a and a movable mold 16b.

[0031] The mold clamping device 10 has the function of opening and closing and clamping the mold 16. The mold clamping device 10 uses a mold clamping cylinder 44 to open and close and clamp the mold 16.

[0032] The injection device 14 has a function of injecting liquid metal into the interior 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 inside the injection sleeve 50. The plunger tip 48 injects the liquid metal into the interior of the mold 16.

[0033] The extrusion device 12 has the function of extruding and releasing the die-cast product from the fixed die or the moving die.

[0034] The fixed die plate 34 is fixed on the base 32. The fixed die plate 34 is capable of holding the fixed die 16a.

[0035] The movable die plate 36 is provided on a slide plate 42 on the base 32. The movable die plate 36 is movable in the mold opening and closing directions. The mold opening and closing directions refer to both the mold opening direction and the mold closing direction shown in Figure 2. The movable die plate 36 is capable of holding the movable die 16b opposite the fixed die 16a.

[0036] The link housing is provided on the base 32. One end of a link mechanism that constitutes the mold clamping unit 10 is fixed to the link housing .

[0037] The fixed die plate 34 and the link housing 38 are fixed by tie bars 40. The tie bars 40 support the clamping force while the clamping force is applied to the fixed die 16a and the movable die 16b.

[0038] The spray device 26 has a function of spraying air onto the mold 16 to clean the mold 16. The spray device 26 also has a function of spraying a mold release agent onto the mold 16 to make it easier to eject the die-cast product from the mold 16.

[0039] The melt 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 for each cycle of manufacturing a die-cast product.

[0040] The operating device 24 has operation switches for operating the mechanical operations of the mold clamping unit 10, the extrusion unit 12, and the injection unit 14. The operating device 24 is provided with, for example, a power switch, an operation start switch, a stop switch, etc. for the mold clamping unit 10, the extrusion unit 12, and the injection unit 14. The operating device 24 is also provided with, for example, an open / close switch for the mold 16.

[0041] The control device 18 has a function of controlling molding operations using the mold clamping unit 10, the extrusion unit 12, and the injection unit 14. The control device 18 outputs commands to the mold clamping unit 10, the extrusion unit 12, and the injection unit 14 so that molding operations are performed under predetermined desired operating conditions. The control device 18 controls the molding operations of the mold clamping unit 10, the extrusion unit 12, and the injection unit 14, for example, by feeding back the monitored operating conditions of the mold clamping unit 10, the extrusion unit 12, and the injection unit 14.

[0042] The control device 18 is configured, for example, by a combination of hardware and software, and includes, for example, a CPU (Central Processing Unit), a semiconductor memory, and a control program stored in the semiconductor memory.

[0043] 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 components that make up the die-casting machine 100. The component life prediction device 30 has a function of calculating a life advance value, for example, by adding a planned safety factor to the life prediction value of the component that makes up the die-casting machine 100.

[0044] The parts to be subjected to life prediction are, for example, the base 32, the fixed die plate 34, the movable die plate 36, the link housing 38, the slide plate 42, the clamping cylinder 44, the tie bar 40, the injection cylinder 46, the plunger tip 48, or the injection sleeve 50. The base 32, the fixed die plate 34, the movable die plate 36, the link housing 38, the slide plate 42, the clamping cylinder 44, the tie bar 40, the injection cylinder 46, the plunger tip 48, or the injection sleeve 50 are examples of the first part. Parts to be subjected to life prediction can also be added by, for example, the user of the die casting machine 100.

[0045] The operation history information storage unit 30b stores operation history information of the molding operation of the die-casting machine 100. The operation history information is, for example, an operation count number of various operations included in the molding operation linked to a date and time. The operation count number is the cumulative number of times or cumulative time of various operations. The operation count number is, for example, the cumulative number or cumulative time of mold clamping operations, the cumulative number or cumulative time of mold opening / closing operations, the cumulative number or cumulative time of extrusion operations, the cumulative number or cumulative time of injection operations, or the cumulative number or cumulative time of pressure boosting operations.

[0046] 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 with a predetermined mold clamping force or more and counted.

[0047] For example, the pressure increase operation may be further divided into multiple operations and counted. For example, the cumulative number of pressure increase operations may be counted by dividing it into the cumulative number of all pressure increase operations and the cumulative number of pressure increase operations above a predetermined pressure.

[0048] By linking the count number of each operation with the date and time, it is possible to grasp, for example, the cumulative number of times and cumulative time of each operation in a specific period. For example, it is possible to grasp the cumulative number of times and cumulative time of mold clamping operations in a specific period. Also, for example, it is possible to grasp the cumulative number of times and cumulative time of injection operations in a specific period.

[0049] The replacement history information storage unit 30c stores replacement history information of parts, such as the replacement date and time for each part.

[0050] The life expectancy prediction value storage unit 30d stores the life expectancy prediction values ​​of the components. The life expectancy prediction value of a component is expressed, for example, as the number of operation counts of a specific operation until the component breaks, fails, or wears out. The initial value of the life expectancy prediction value of each component is input to the life expectancy prediction value storage unit 30d, for example, when the die casting machine 100 first starts operating.

[0051] The operation history information storage unit 30b, the replacement history information storage unit 30c, and the lifespan predicted value storage unit 30d are storage devices, such as semiconductor memories or hard disks.

[0052] The correction unit 30a has a function of correcting the predicted life value of a part based on the operation history information and the part replacement history information when the part is replaced.

[0053] When replacing a part, for example, the predicted life value is corrected by changing it to the actual operation count number from the previous part replacement to the current part replacement, or by changing it to the actual operation count number from the previous part replacement to the current part replacement plus a predetermined margin.

[0054] Specifically, for example, it is assumed that the life expectancy is defined by the cumulative number of mold clamping operations. When a part is replaced due to damage, failure, or wear, the life expectancy is corrected to the cumulative number of mold clamping operations from the previous replacement to the current replacement.

[0055] The correction algorithm for the life expectancy prediction value is stored in, for example, a semiconductor memory included in the correction unit 30a.

[0056] The correction unit 30a is configured, for example, by a combination of hardware and software, and includes, for example, a CPU, a semiconductor memory, and a correction algorithm stored in the semiconductor memory.

[0057] It should be noted that the component life prediction device 30 does not necessarily have to be provided near the mold clamping unit 10, the extrusion unit 12, the injection unit 14, and the control device 18. For example, part or all of the component life prediction device 30 may be provided in a location away from the mold clamping unit 10, the extrusion unit 12, the injection unit 14, and the control device 18. For example, part or all of the component life prediction device 30 may be connected to the control device 18 via wireless communication. For example, it is also possible to read data stored in the component life prediction device 30 onto an external storage medium. For example, the data stored in the component life prediction device 30 can be edited by the user.

[0058] The display device 20 is an input / output device for the control device 18 and the part 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 actual molding operations.

[0059] The display device 20 can display the operating conditions of the molding operation of the die-casting machine 100. The display device 20 can also display, for example, the injection waveform of the molding operation, alarm messages (alarms), the number of products produced, the progress of production, quality data, and operating time.

[0060] The display device 20 is also capable of displaying operation history information, replacement history information, and lifespan prediction values. The display device 20, for example, accesses the component lifespan prediction device 30 and displays the operation count number for each operation. The display device 20, for example, accesses the component lifespan prediction device 30 and displays the replacement date and time for each component. The display device 20 also has a function to access the component lifespan prediction device 30 and input an initial value for the lifespan prediction value for each component. The display device 20 also has a function to display the correction results of the lifespan prediction value obtained by the component lifespan prediction device 30.

[0061] The display device 20 includes, for example, a liquid crystal display with a touch panel. The display device 20 includes, for example, an organic EL display with a touch panel.

[0062] Next, a description will be given of a method for operating a molding machine according to the first embodiment. The method for operating a molding machine according to the first embodiment is a method for operating a molding machine that includes a mold clamping unit, an injection unit, and a control device that controls a molding operation using the mold clamping unit and the injection unit, and when a first part of the molding machine is replaced, a predicted life value of the first part is corrected based on the operation history of the molding machine and the replacement history of the first part.

[0063] 3 is an operational block diagram of the method of operating the molding machine of the first embodiment. The method of operating the molding machine of the first embodiment is performed using, for example, the die-casting machine 100 shown in FIGS.

[0064] The following description will be given taking as an example a case where the first part is the slide plate 42 of the die-casting machine 100. Also, the description will be given taking as an example a case where the life notice value and life prediction value of the slide plate 42 are defined by the cumulative number of mold clamping operations.

[0065] First, the initial values ​​of the life prediction value and the life expectancy value of the sliding plate 42 are input. The initial value of the life expectancy value is, for example, 1000 accumulated mold clamping operations. The initial value of the life expectancy value is, for example, 990 accumulated mold clamping operations. The life expectancy value is based on the life expectancy value. The life expectancy value is set based on the life expectancy value, taking into account a predetermined safety factor.

[0066] 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.

[0067] 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.

[0068] For example, an alarm is issued when the cumulative number of mold clamping operations reaches the lifespan prediction value of 990. The alarm is displayed, for example, on the display device 20. For example, when the alarm is issued, a new slide plate 42 for replacement is prepared.

[0069] Also, for example, an alarm is issued when the cumulative number of mold clamping operations reaches the predicted life value of 1,000. The alarm is displayed, for example, on the display device 20. If a new replacement slide plate 42 is not prepared at the time the alarm is issued, a new slide plate 42 is prepared.

[0070] If a reason for replacing the slide plate 42 occurs during or after the forming operation, the slide plate 42 is replaced. The reason for replacement is, for example, damage, malfunction, or wear of the slide plate 42. For example, if the slide plate 42 is damaged during the forming operation, the slide plate 42 is replaced.

[0071] For example, if the life prediction of the sliding plate 42 is to be continued, the life prediction value and life prediction value of the sliding plate 42 are corrected. For example, if it is decided to keep a replacement part 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 parts subject to life prediction, and the life prediction of the sliding plate 42 is terminated.

[0072] For example, if the sliding plate 42 breaks after the cumulative number of mold clamping operations since the previous replacement is 1100, the predicted life value of the sliding plate 42 is corrected to 1100. For example, the predicted life value of the sliding plate 42 is corrected to 1000.

[0073] The correction of the lifespan prediction value and the lifespan prediction value may be performed automatically based on a correction algorithm stored in the correction unit 30a of the part lifespan prediction device 30. The correction of the lifespan prediction value and the lifespan prediction value may also be performed manually, taking into account various circumstances.

[0074] Thereafter, the molding operation continues. For example, the cumulative number of mold clamping operations for the slide plate 42 is reset to zero.

[0075] The following describes the functions and effects of the molding machine and the method of operating the molding machine according to the first embodiment.

[0076] In molding machines such as die-casting machines and injection molding machines, a control device controls the injection unit and mold clamping unit according to desired operating conditions to manufacture products. When a molding machine part breaks, malfunctions, or wears out, production of products by the molding machine stops until the broken, malfunctioned, or worn part is replaced. In particular, if replacement parts are not available, the time it takes to procure the parts adds to the production downtime. A long stoppage of product production can result in significant losses.

[0077] If the replacement timing of a part is known in advance, the replacement part can be prepared in advance. By preparing replacement parts in advance, it is possible to minimize the downtime of production when a part is damaged, malfunctions, or worn out.

[0078] On the other hand, the increased costs of having an excess of replacement parts on hand can also lead to losses. For this reason, it is desirable to be able to predict the lifespan of molding machine parts with high accuracy.

[0079] The die-casting machine 100 of the first embodiment is equipped with 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 component life prediction value when a component is replaced, the component life of the die-casting machine 100 can be predicted with high accuracy.

[0080] Because the lifespan of parts can be predicted with high accuracy, replacement parts can be prepared in advance, and even if a part breaks, breaks down, or wears out, downtime of the die-casting machine 100 can be minimized. This prevents serious losses caused by long-term downtime of product production. It also prevents increases in costs due to preparing excessive replacement parts.

[0081] The method of operating the die-casting machine 100 of the first embodiment corrects the predicted life value when replacing a part, thereby enabling the life of the part in the die-casting machine 100 to be predicted with high accuracy. This makes it possible to prevent serious losses caused by long-term stoppages in product production. It also makes it possible to prevent increases in costs caused by preparing excessive replacement parts.

[0082] The correction unit 30a may correct the life expectancy of a part based on information about multiple past part replacements in the part replacement history information. For example, the correction may be performed by setting the life expectancy to the average of the operation count number from the last part replacement to the most recent part replacement and the operation count number from the part replacement before last to the part replacement before the last part replacement. Furthermore, the correction may be performed by setting the life expectancy to the smaller of the operation count number from the last part replacement to the most recent part replacement and the operation count number from the part replacement before last to the last part replacement before the last part replacement.

[0083] By correcting the predicted life value of a part based on information on multiple past replacements in the part replacement history information, the life of the parts of the die casting machine 100 can be predicted with even higher accuracy.

[0084] As described above, according to the molding machine and the molding machine operation method of the first embodiment, by correcting the predicted life value when replacing a part, it is possible to predict the life of the part with high accuracy.

[0085] (Second embodiment) The molding machine of the second embodiment differs from the molding machine of the first embodiment in that the correction unit corrects the life prediction value of the first part when the first part is replaced, and then further corrects the corrected life prediction value of the first part based on operation history information until the next time the first part is replaced. The operation method of the molding machine of the second embodiment also differs from the operation method of the molding machine of the first embodiment in that the correction unit corrects the life prediction value of the first part when the first part is replaced, and then further corrects the corrected life prediction value of the first part based on the operation history of the molding machine until the next time the first part is replaced. Hereinafter, some of the description overlapping with the molding machine and operation method of the molding machine of the first embodiment will be omitted.

[0086] The molding machine of the second embodiment is a die-casting machine 100 shown in FIGS.

[0087] The correction unit 30a of the component life prediction device 30 has a function of correcting the component life prediction value when the component is replaced, and then further correcting the corrected component life prediction value based on the operation history information until the next component replacement. In other words, the correction unit 30a has a function of correcting the component life prediction value based on the operation history information before the component is damaged, malfunctions, or worn out.

[0088] For example, if the operation of the molding machine exceeds a predetermined range, the correction unit 30a corrects the predicted life value of the part even when the part is not being replaced. The part life prediction device 30 has a function to monitor whether the operation of the molding machine exceeds a predetermined range.

[0089] 4 is an operational block diagram of the method of operating the molding machine of the second embodiment. The method of operating the molding machine of the second embodiment is carried out using, for example, the die-casting machine 100 shown in FIGS.

[0090] The following description will be given taking as an example a case where the first component is the sliding plate 42 of the die-casting machine 100. Also, the description will be given taking as an example a case where the predicted life value of the sliding plate 42 is defined by the cumulative number of mold clamping operations.

[0091] First, an initial value for the predicted lifespan of the slide plate 42 is input. The initial value for the predicted lifespan is, for example, 1000 cumulative mold clamping operations. The initial value for the predicted lifespan is, for example, 990 cumulative mold clamping operations. The predicted lifespan is based on the predicted lifespan. The cumulative mold clamping operations are set in advance within an expected range of 30 or less times per week.

[0092] 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.

[0093] After one molding operation is completed, it is monitored whether the cumulative number of mold clamping operations in one week is less than 30, for example. If the cumulative number of mold clamping operations in one week is less than 30, which is within the expected range, the molding operation is continued.

[0094] If the cumulative number of mold clamping operations in one week exceeds 30, the life warning 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 warning value is corrected to 800 times.

[0095] Then, the cumulative number of mold clamping operations is compared with the life notice value and the life prediction value.

[0096] For example, an alarm is issued when the cumulative number of mold clamping operations reaches the lifespan prediction value of 800 or 990. The alarm is displayed, for example, on the display device 20. For example, when the alarm is issued, a new slide plate 42 for replacement is prepared.

[0097] Also, for example, an alarm is issued when the cumulative number of mold clamping operations reaches the predicted lifespan value of 990 or 1000. The alarm is displayed, for example, on the display device 20. If a new replacement slide plate 42 is not prepared at the time the alarm is issued, a new slide plate 42 is prepared.

[0098] For example, if it is decided to keep a replacement part for the sliding plate 42 on hand and life prediction of the sliding plate 42 is no longer necessary, the sliding plate 42 is excluded from the parts subject to life prediction, and the life prediction of the sliding plate 42 is terminated.

[0099] For example, if the sliding plate 42 breaks after 950 mold clamping operations since the previous replacement, the predicted life value of the sliding plate 42 is corrected to 950. Also, for example, the predicted life value of the sliding plate 42 is corrected to 900.

[0100] After that, the molding operation continues. For example, the accumulated number of mold clamping operations is reset to zero.

[0101] If the operation of the die casting machine 100 exceeds a range that has been previously assumed, excessive loads will be placed on the components of the die casting machine 100, which is expected to shorten the lifespan of the components.

[0102] The molding machine and molding machine operating method of the second embodiment corrects the predicted life value of a part when the operation of the die-casting machine 100 exceeds a predetermined range, even when the part is not being replaced. Therefore, the life of the parts of the die-casting machine 100 can be predicted with even higher accuracy than in the first embodiment.

[0103] As described above, according to the molding machine and molding machine operation method of the second embodiment, the predicted life value is corrected when a part is replaced, thereby making it possible to predict the life of the part with high accuracy. Furthermore, if the operation of the molding machine exceeds a predetermined range, the predicted life value of the part can be corrected even when the part is not replaced, thereby making it possible to predict the life of the part with even higher accuracy.

[0104] (Third embodiment) The molding machine of the third embodiment differs from the molding machine of the first embodiment in that the replacement history information storage unit stores replacement history information of the second part, and the correction unit corrects the life prediction value of the first part based on the replacement history information of the second part when the first part is replaced. Furthermore, the operation method of the molding machine of the third embodiment differs from the operation method of the molding machine of the first embodiment in that the operation method of the molding machine of the third embodiment corrects the life prediction value of the first part based on the replacement history of the second part when the first part is replaced. Hereinafter, some of the description overlapping with the molding machine and operation method of the molding machine of the first embodiment will be omitted.

[0105] The molding machine of the third embodiment is a die-casting machine 100 shown in FIGS.

[0106] 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 predicted life value of the first component based on the operation history information, the replacement history information of the first component, and the replacement history information of the second component when the first component is replaced.

[0107] For example, when a first part is replaced, the correction unit 30a has a function of correcting the predicted life value of the first part in accordance with the operation count number of the molding operation since the second part was last replaced. For example, when the operation count number that defines the predicted life value of the second part is 10% or less of the predicted life value of the second part, the correction unit 30a has a function of correcting the predicted life value of the first part to increase it.

[0108] 5 is an operational block diagram of the method of operating the molding machine of the third embodiment. The method of operating the molding machine of the third embodiment is carried out using, for example, the die-casting machine 100 shown in FIGS.

[0109] Hereinafter, an example will be described in which the first part is the plunger tip 48 of the injection device 14 and the second part is the injection sleeve 50 of the injection device 14.

[0110] First, input the initial values ​​of the life prediction value and the life expectancy value of the plunger tip 48. The initial value of the life expectancy value is, for example, 50 cumulative injection operations. The initial value of the life prediction value is, for example, 45 cumulative injection operations.

[0111] Next, input the initial value of the predicted lifespan of the injection sleeve 50. The initial value of the predicted lifespan is, for example, 200 cumulative injection operations.

[0112] Thereafter, the molding operation continues. The number of injection operations is counted and the cumulative number of injection operations is calculated.

[0113] After one molding operation is completed, the number of injection operations is compared with the life prediction value and life expectancy value of the plunger tip 48.

[0114] For example, an alarm is issued when the cumulative number of injection operations reaches the lifespan prediction value of 45. The alarm is displayed, for example, on the display device 20. For example, when the alarm is issued, a replacement plunger tip 48 is prepared.

[0115] Also, for example, an alarm is issued when the cumulative number of injection operations reaches 50, which is the predicted life value. The alarm is displayed, for example, on the display device 20. If a replacement plunger tip 48 is not ready when the alarm is issued, a new plunger tip 48 is prepared.

[0116] If a reason for replacing the plunger tip 48 occurs during or after the molding operation, the plunger tip 48 is replaced. The reason for replacement is, for example, breakage, malfunction, or wear of the plunger tip 48. For example, if the plunger tip 48 is broken, the plunger tip 48 is replaced. For example, if the life prediction of the plunger tip 48 is to be continued, the life prediction value of the plunger tip 48 is corrected.

[0117] For example, if the plunger tip 48 breaks after 60 cumulative injection operations since the last replacement, the predicted life value of the plunger tip 48 is corrected from the initial value of 50 to 60. Also, the predicted life value of the plunger tip 48 is corrected from the initial value of 45 to 50.

[0118] Furthermore, the predicted life value of the plunger tip 48 is corrected according to the cumulative number of injection operations since the last time the injection sleeve 50 was replaced. For example, if the cumulative number of injection operations that defines the predicted life value of the injection sleeve 50 is 10% or less of the predicted life value of the injection sleeve 50, which is 200 operations, the predicted life value of the plunger tip 48 is increased. Also, the life notice value of the plunger tip 48 is increased.

[0119] For example, if the cumulative number of injection operations that defines the predicted life value of the injection sleeve 50 is 10, the predicted life value of the plunger tip 48 is multiplied by 1.2. That is, it is corrected to 72, which is 1.2 times 60. In addition, the predicted life value of the plunger tip 48 is corrected to 60, which is 1.2 times 50.

[0120] Thereafter, the molding operation continues. For example, the cumulative number of injection operations for the plunger tip 48 is reset to zero.

[0121] For example, there may be a causal relationship between the life of a first part of the die casting machine 100 and the replacement timing of a second part. For example, consider a case where the first part is the plunger tip 48 that moves inside the injection sleeve 50, and the second part is the injection sleeve 50. If the time that has passed since the injection sleeve 50 was replaced is short, for example, the life of the plunger tip 48 tends to be longer. In other words, if the cumulative number of injection operations since the injection sleeve 50 was replaced is small, the life of the plunger tip 48 tends to be longer.

[0122] Therefore, if the cumulative number of injection operations since the replacement of the injection sleeve 50 is small, the life expectancy of the plunger tip 48 can be predicted with high accuracy by correcting the life expectancy of the plunger tip 48 to be larger.

[0123] The molding machine and molding machine operation method of the third embodiment corrects the predicted life value of the first component based on the operation history information, the replacement history information of the first component, and the replacement history information of the second component when the first component is replaced. Therefore, the life of the components of the die-casting machine 100 can be predicted with higher accuracy than in the first embodiment.

[0124] As described above, according to the molding machine and the molding machine operation method of the third embodiment, the lifespan of the first component can be predicted with high accuracy by correcting the lifespan prediction value when the first component is replaced. Furthermore, the lifespan of the first component can be predicted with even higher accuracy by correcting the lifespan prediction value of the first component based on the replacement history information of the second component.

[0125] (Fourth embodiment) The molding machine of the fourth embodiment differs from the molding machine of the third embodiment in that the correction unit corrects the predicted life value of the second component when the first component is replaced. The operating method of the molding machine of the fourth embodiment also differs from the operating method of the molding machine of the third embodiment in that the predicted life value of the second component is corrected when the first component is replaced. Hereinafter, some of the details that overlap with the molding machines and operating methods of the molding machines of the first and third embodiments will be omitted.

[0126] The molding machine of the fourth embodiment is a die-casting machine 100 shown in FIGS.

[0127] 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 predicted life value of the second component when the first component is replaced.

[0128] For example, the correction unit 30a has a function of correcting the predicted life value of the second part so that it becomes larger when the first part is replaced.

[0129] 6 is an operational block diagram of the method of operating the molding machine of the fourth embodiment. The method of operating the molding machine of the fourth embodiment is carried out using, for example, the die-casting machine 100 shown in FIGS.

[0130] Hereinafter, an example will be described in which the first part is the plunger tip 48 of the injection device 14 and the second part is the injection sleeve 50 of the injection device 14.

[0131] First, input the initial value of the life prediction value of the plunger tip 48. The initial value of the life prediction value is, for example, 50 cumulative injection operations. The initial value of the life notice value is, for example, 45 cumulative injection operations.

[0132] Next, input the initial values ​​of the life prediction value and the life expectancy value of the injection sleeve 50. The initial value of the life expectancy value is, for example, 200 cumulative injection operations. The initial value of the life prediction value is, for example, 180 cumulative injection operations.

[0133] Thereafter, the molding operation continues. The number of injection operations is counted and the cumulative number of injection operations is calculated.

[0134] For example, an alarm is issued when the cumulative number of injection operations reaches the lifespan prediction value of 45. The alarm is displayed, for example, on the display device 20. For example, when the alarm is issued, a replacement plunger tip 48 is prepared.

[0135] Also, for example, an alarm is issued when the cumulative number of injection operations reaches 50, which is the predicted life value. The alarm is displayed, for example, on the display device 20. If a replacement plunger tip 48 is not ready when the alarm is issued, a new plunger tip 48 is prepared.

[0136] If a reason for replacing the plunger tip 48 occurs during or after the molding operation, the plunger tip 48 is replaced. The reason for replacement is, for example, breakage, malfunction, or wear of the plunger tip 48. For example, if the plunger tip 48 is broken, the plunger tip 48 is replaced. For example, if the life prediction of the plunger tip 48 is continued, the life prediction value of the plunger tip 48 is corrected.

[0137] For example, if the plunger tip 48 breaks after 60 cumulative injection operations since the last replacement, the predicted life value of the plunger tip 48 is corrected from the initial value of 50 to 60. Also, the predicted life value of the plunger tip 48 is corrected from the initial value of 45 to 50.

[0138] Furthermore, the predicted life value of the injection sleeve 50 is corrected to be longer. For example, if the cumulative number of injection operations that defines the predicted life value of the injection sleeve 50 at the time of replacing the plunger tip 48 is 100, which is half of the predicted life value of the injection sleeve 50 of 200, the predicted life value of the injection sleeve 50 is corrected to be longer, to 220. The predicted life value of the injection sleeve 50 is calculated using the following formula: 100 (number of injection operations already accumulated) + 100 (number of injection operations remaining until the predicted life value is reached) × 1.2 = 220. Also, for example, the predicted life value of the injection sleeve 50 is corrected to 200.

[0139] Thereafter, the molding operation continues. For example, the cumulative number of injection operations for the injection sleeve 50 is reset to zero.

[0140] For example, there may be a causal relationship between the replacement timing of a first part of the die casting machine 100 and the lifespan of a second part. For example, consider a case where the first part is the plunger tip 48 that moves inside the injection sleeve 50, and the second part is the injection sleeve 50. If the time that has passed since the plunger tip 48 was replaced is short, the lifespan of the injection sleeve 50 tends to be extended. In other words, after the plunger tip 48 is replaced, the lifespan of the injection sleeve 50 tends to be extended.

[0141] Therefore, when replacing the plunger tip 48, the predicted life value of the injection sleeve 50 is corrected to a larger value in accordance with a predetermined standard, so that the life of the injection sleeve 50 can be predicted with high accuracy.

[0142] The molding machine and the method of operating the molding machine of the fourth embodiment correct the predicted life value of the second component when the first component is replaced, and therefore the life of the components of the die-casting machine 100 can be predicted with higher accuracy than in the first embodiment.

[0143] As described above, according to the molding machine and the molding machine operation method of the fourth embodiment, by correcting the predicted life value when the first part is replaced, it is possible to predict the life of the first part with high accuracy. Also, by correcting the predicted life value of the second part when the first part is replaced, it is possible to predict the life of the second part with even higher accuracy.

[0144] (Fifth embodiment) The molding machine of the fifth embodiment differs from the molding machine of the first embodiment in that it further includes an environmental information storage unit that stores environmental history information about the environment in which the mold clamping unit and the injection unit are placed, and the correction unit corrects the predicted life value of the first part based on the environmental history information when the first part is replaced. The operation method of the molding machine of the fifth embodiment also differs from the operation method of the molding machine of the first embodiment in that the predicted life value of the first part is corrected based on the environmental history when the first part is replaced. Hereinafter, some of the description overlapping with the molding machine and operation method of the molding machine of the first embodiment will be omitted.

[0145] 7 is a schematic diagram showing a molding machine of a fifth embodiment. FIG. 7 is a plan layout diagram of the molding machine of the fifth embodiment. The molding machine of the fifth embodiment is a die-casting machine 200.

[0146] 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 part life prediction device 30. The part 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 environmental information storage unit 30e.

[0147] The environmental information storage unit 30e of the part life prediction device 30 stores environmental history information of the environment in which the mold clamping unit 10 and the injection unit 14 are placed. The environmental history information is, for example, temperature and humidity linked to date and time.

[0148] By linking temperature with date and time, it is possible to know, for example, the cumulative number of days in a specific period when the temperature exceeded a specific temperature.Furthermore, by linking humidity with date and time, it is possible to know, for example, the cumulative number of days in a specific period when the humidity exceeded a specific humidity.

[0149] The environmental information storage unit 30e is a storage device, such as a semiconductor memory or a hard disk.

[0150] 8 is an operational block diagram of the method of operating the molding machine of the fifth embodiment. The method of operating the molding machine of the fifth embodiment is carried out using, for example, the die-casting machine 100 shown in FIGS.

[0151] The following description will be given taking as an example a case where the first component is the sliding plate 42 of the die-casting machine 100. Also, the description will be given taking as an example a case where the predicted life value of the sliding plate 42 is defined by the cumulative number of mold clamping operations.

[0152] First, the initial values ​​of the life prediction value and the life expectancy value of the sliding plate 42 are input. The initial value of the life expectancy value is, for example, 1000 accumulated mold clamping operations. The initial value of the life expectancy value is, for example, 990 accumulated mold clamping operations. The life expectancy value is based on the life expectancy value.

[0153] 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.

[0154] 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.

[0155] For example, an alarm is issued when the cumulative number of mold clamping operations reaches the lifespan prediction value of 990. The alarm is displayed, for example, on the display device 20. For example, when the alarm is issued, a new slide plate 42 for replacement is prepared.

[0156] Also, for example, an alarm is issued when the cumulative number of mold clamping operations reaches the predicted life value of 1,000. The alarm is displayed, for example, on the display device 20. If a new replacement slide plate 42 is not prepared at the time the alarm is issued, a new slide plate 42 is prepared.

[0157] If a reason for replacing the slide plate 42 occurs during or after the forming operation, the slide plate 42 is replaced. The reason for replacement is, for example, damage, malfunction, or wear of the slide plate 42. For example, if the slide plate 42 is damaged during the forming operation, the slide plate 42 is replaced.

[0158] For example, if the life prediction of the sliding plate 42 is to be continued, the life prediction value and life prediction value of the sliding plate 42 are corrected.

[0159] For example, if the sliding plate 42 breaks after the cumulative number of mold clamping operations since the last replacement is 1,100, the predicted life value of the sliding plate 42 is corrected to 1,100. Also, for example, the predicted life value of the sliding plate 42 is corrected to 1,000.

[0160] Next, the ratio of the number of days during which the temperature exceeded the predetermined temperature between the previous replacement and the current replacement is calculated. This ratio is calculated, for example, by the correction unit 30a based on the environmental history information stored in the environmental information storage unit 30e.

[0161] For example, if the ratio exceeds a predetermined threshold, the predicted life value of the sliding plate 42 is further corrected. For example, if the ratio exceeds 50%, the predicted life value of the sliding plate 42 is corrected downward. For example, the predicted life value of the sliding plate 42 is corrected to 990 times, which is 0.9 times. For example, the predicted life value of the sliding plate 42 is corrected to 900 times, which is 0.9 times.

[0162] Thereafter, the molding operation continues. For example, the cumulative number of mold clamping operations for the slide plate 42 is reset to zero.

[0163] For example, if the environment in which the die-casting machine 100 is placed exceeds the expected range, deterioration of the parts may progress rapidly. For example, if the temperature or humidity in which the die-casting machine 100 is placed exceeds the expected range, deterioration of the parts may progress rapidly.

[0164] The molding machine and molding machine operating method of the fifth embodiment corrects the predicted lifespan of parts when the environment in which the die-casting machine 100 is placed exceeds a previously assumed range. Therefore, the lifespan of parts of the die-casting machine 100 can be predicted with even higher accuracy than in the first embodiment.

[0165] As described above, according to the molding machine and the molding machine operation method of the fifth embodiment, the predicted life value is corrected when a part is replaced, thereby making it possible to predict the life of the part with high accuracy. Furthermore, if the environment in which the molding machine is placed exceeds the range assumed in advance, the predicted life value of the part can be corrected, thereby making it possible to predict the life of the part with even higher accuracy.

[0166] (Sixth embodiment) The molding machine of the sixth embodiment differs from the molding machine of the first embodiment in that the life prediction value of the first part includes different predicted values ​​based on different operation counts in the operation history information. Furthermore, the operating method of the molding machine of the sixth embodiment differs from the operating method of the molding machine of the first embodiment in that the life prediction value of the first part includes different predicted values ​​based on different operation counts in the operation history information. Hereinafter, some of the description overlapping with the molding machine and operating method of the molding machine of the first embodiment will be omitted.

[0167] The molding machine of the sixth embodiment is a die-casting machine 100 shown in FIGS.

[0168] The component life prediction values ​​stored in the component life prediction value storage unit 30d of the component life prediction device 30 include different prediction values ​​based on different operation counts in the operation history information. The component life prediction values ​​stored in the component life prediction value storage unit 30d include, for example, a first prediction value and a second prediction value. Furthermore, the component life prediction values ​​include, for example, a first prediction value and a second prediction value.

[0169] For example, if the part is a slide 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 mold clamping operation time. Also, 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 and closing operations.

[0170] For example, the component is the slide plate 42, and the initial value of the first predicted value is the cumulative number of clamping operations of 1000, and the initial value of the second predicted value is the cumulative time of clamping operations of 1000 hours. For example, the initial value of the first notice value is the cumulative number of clamping operations of 900, and the initial value of the second notice value is the cumulative time of clamping operations of 900 hours.

[0171] In the operating method of the die-casting machine 100, for example, an alarm is issued when the cumulative number of mold clamping operations reaches a first predicted value of 900. Also, for example, an alarm is issued when the cumulative time of mold clamping operations reaches a second predicted value of 900 hours.

[0172] 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 a first predicted value of 1,000. Also, for example, an alarm is issued when the cumulative time of mold clamping operations reaches a second predicted value of 1,000 hours.

[0173] When the sliding plate 42 is damaged and replaced, both the first predicted value and the second predicted value of the sliding plate 42 are corrected. When the sliding plate 42 is replaced, both the first advance notice value and the second advance notice value of the sliding plate 42 are corrected.

[0174] In the molding machine and the operating method of the molding machine of the sixth embodiment, the predicted life of the part includes different predicted values ​​based on different operation counts in the operation history information, so that the life of the part of the die-casting machine 100 can be predicted with higher accuracy than in the first embodiment.

[0175] As described above, according to the molding machine and molding machine operation method of the sixth embodiment, by correcting the lifespan prediction value when replacing a part, it is possible to predict the lifespan of the part with high accuracy. Furthermore, by including different prediction values ​​based on different operation counts in the operation history information in the lifespan prediction value of the part, it is possible to predict the lifespan of the part with even higher accuracy.

[0176] (Seventh embodiment) The operating method of the molding machine of the seventh embodiment differs from the operating method of the molding machine of the first embodiment in that if the reason for replacing the first part is an accident, the predicted life value of the first part is not corrected. Hereinafter, some of the content that overlaps with the operating method of the molding machine of the first embodiment will be omitted.

[0177] The molding machine of the seventh embodiment is a die-casting machine 100 shown in FIGS.

[0178] For example, if the part is the 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 an accident, the life prediction of the sliding plate 42 is not corrected.

[0179] Whether the reason for replacement is an accident or not is determined, for example, by analyzing the measurement values ​​of various sensors provided in the die-casting machine 100 in the control device 18. The reason for replacement is an accident when, for example, the reason for replacement is caused by a natural disaster. The reason for replacement is an accident when, for example, the reason for replacement is caused by a chain reaction due to the destruction of a part other than the first part.

[0180] In the method for operating the molding machine of the seventh embodiment, the predicted lifespan of a part is not affected by accidental replacement of the part, and therefore the lifespan of the die-casting machine 100 parts can be predicted with higher accuracy than in the first embodiment.

[0181] As described above, according to the operating method of the molding machine of the seventh embodiment, by correcting the predicted life value when replacing a part, it is possible to predict the life of the part with high accuracy.

[0182] (Eighth embodiment) The operating method of the molding machine of the eighth embodiment differs from the operating method of the molding machine of the first embodiment in that the first part is replaced when the first part reaches a life notice value or a life prediction value. Hereinafter, some of the content that overlaps with the operating method of the molding machine of the first embodiment will be omitted.

[0183] The molding machine of the eighth embodiment is a die-casting machine 100 shown in FIGS.

[0184] For example, if the part is the slide plate 42, the slide plate 42 is replaced when the cumulative number of mold clamping operations reaches the lifespan warning value or lifespan prediction value and an alarm is issued. In other words, the slide plate 42 is replaced before a reason for replacement, such as damage, malfunction, or wear, occurs in the slide plate 42. In this case, the lifespan warning value and lifespan prediction value of the slide plate 42 are not corrected.

[0185] The method of operating the molding machine of the eighth embodiment replaces the slide plate 42 before a reason for replacement, such as damage, malfunction, or wear, occurs in the slide plate 42. Therefore, the die-casting machine 100 can be operated even more safely.

[0186] In addition, if the sliding plate 42 is damaged, malfunctions, worn out, or otherwise requires replacement before the cumulative number of mold clamping operations reaches the life prediction value or life prediction value, the sliding plate 42 is replaced and the life prediction value and life prediction value of the sliding plate 42 are corrected, as in the first embodiment.

[0187] As described above, according to the eighth embodiment of the molding machine operation method, by correcting the predicted life value when replacing a part, it is possible to predict the life of the part with high accuracy. Furthermore, by not using the part beyond the life notice value or predicted life value, the molding machine can be operated even more safely.

[0188] The embodiments of the present invention have been described above with reference to specific examples. However, the present invention is not limited to these specific examples. In the embodiments, parts of the molding machine and the like that are not directly necessary for the explanation of the present invention have been omitted, but necessary elements related to the molding machine and the like can be appropriately selected and used.

[0189] 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 a die-casting machine. For example, the molding machine may be an injection molding machine.

[0190] In addition, all molding machines that incorporate the elements of the present invention and that can be appropriately modified by those skilled in the art are encompassed within the scope of the present invention, which is defined by the claims and their equivalents. [Explanation of symbols]

[0191] 10 Mold clamping device 12 Extrusion equipment 14 Injection device 16 Mold 16a Fixed mold 16b Movable mold 18 Control Device 20 Display device 24 Control device 26 Spray equipment 28 Hot water supply equipment 30 Parts life prediction device 30a Correction section 30b Operation history information storage unit 30c Exchange history information storage unit 30d Life expectancy storage section 32 base 34 Fixed die plate 36 Movable die plate 38 Link housing 40 tie bar 42 Slide plate (first part) 44 Mold clamping cylinder 46 Injection cylinder 48 Plunger tip (first part) 50 Injection sleeve (second part) 100 Die-casting machines (molding machines) 200 Die-casting machine (molding machine)

Claims

1. A mold clamping device; an injection device; a control device that controls a molding operation using the mold clamping device and the injection device; an operation history information storage unit that stores operation history information of the molding operation; a replacement history information storage unit that stores replacement history information of the first component; a life prediction value storage unit that stores a life prediction value of the first component; a component life prediction device including a correction unit that corrects a lifetime prediction value of the first component based on the operation history information and replacement history information of the first component when the first component is replaced; a display device capable of displaying the operation history information, the replacement history information, and the life expectancy prediction value; Equipped with the first component includes a sliding plate; The operation history information includes a cumulative number of mold clamping operations linked to a date and time, The replacement history information includes the date and time when the sliding plate was replaced, When the first part is the slide plate, at the time of replacing the slide plate, the correction unit corrects a life prediction value of the slide plate based on a cumulative number of the mold clamping operations from the previous replacement of the slide plate to the current replacement of the slide plate, the replacement history information storage unit stores replacement history information of a second part that has a causal relationship with the lifespan and replacement timing of the first part; the life prediction value storage unit stores a life prediction value of the second component; the correction unit corrects a life prediction value of the first component based on replacement history information of the second component when the first component is replaced; The molding machine, wherein the first part includes a plunger tip of the injection device, and the second part includes an injection sleeve of the injection device.

2. 2. The molding machine according to claim 1, wherein the correction unit corrects the life prediction value of the first part when the first part is replaced, and then further corrects the corrected life prediction value of the first part based on the operation history information until the next time the first part is replaced.

3. 3. The molding machine according to claim 1, wherein the correction unit corrects the predicted life value of the first part based on information on multiple past replacements in the replacement history information of the first part.

4. 2. The molding machine according to claim 1, wherein the correction unit corrects the predicted life value of the injection sleeve when the plunger tip is replaced.

5. an environmental information storage unit that stores environmental history information of an environment in which the mold clamping unit and the injection unit are placed, 5. The molding machine according to claim 1, wherein the correction unit corrects the predicted life value of the first part based on the environmental history information when the first part is replaced.

6. 6. The molding machine according to claim 1, wherein an alarm is displayed on the display device based on the operation history information and a life prediction value of the first component.

7. 7. The molding machine according to claim 1, wherein the predicted life value of the first component includes different predicted values ​​based on different operation counts in the operation history information.

8. A mold clamping device; an injection device; a control device that controls a molding operation using the mold clamping device and the injection device, When replacing a first part of the molding machine, correcting a life prediction value of the first part based on an operation history of the molding machine and a replacement history of the first part; the first component includes a sliding plate; The operation history includes a cumulative number of mold clamping operations linked to date and time, The replacement history includes the date and time of replacement of the sliding plate, When the first part is the slide plate, at the time of replacing the slide plate, a life prediction value of the slide plate is corrected based on the cumulative number of mold clamping operations from the previous replacement of the slide plate to the current replacement of the slide plate; When replacing the first component, correcting a life prediction value of the first component based on a replacement history of a second component that has a causal relationship with the life and replacement timing of the first component; The method of operating a molding machine, wherein the first part includes a plunger tip of the injection device, and the second part includes an injection sleeve of the injection device.

9. 9. The method for operating a molding machine according to claim 8, wherein after correcting the life prediction value of the first part when the first part is replaced, the corrected life prediction value of the first part is further corrected based on an operation history of the molding machine until the next time the first part is replaced.

10. 10. The method for operating a molding machine according to claim 8, further comprising correcting a predicted life value of the first part based on information on a plurality of past replacements of the first part.

11. The method for operating a molding machine according to claim 8, further comprising correcting a predicted life value of the injection sleeve when the plunger tip is replaced.

12. 12. The method for operating a molding machine according to claim 8, wherein when the first part is replaced, a predicted life value of the first part is corrected based on an environmental history of an environment in which the mold clamping unit and the injection unit are placed.

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