A multi-component injection molding machine locking force dynamic collaborative adjustment system and control method

Abstract

The application discloses a kind of multi-component injection molding machine locking force dynamic collaborative regulation systems and control methods, and the regulation system includes movable template, fixed template and four columns of corinth connected between movable template and fixed template;One end of four columns of corinth is respectively connected with the adjusting member for adjusting corinth column;Distributed sensor unit includes strain sensor respectively arranged on the surface of four columns of corinth, for real-time monitoring the tensile deformation of each corinth column, and the deformation is converted into locking force value;Intelligent actuator includes adjusting die servo motor respectively arranged on the adjusting member of four columns of corinth, for driving the rotation of the adjusting member to adjust the pre-tightening force of each corinth column, and the adjustment accuracy can reach ±0.01mm;Central controller is signal connected with the distributed sensor unit and the intelligent actuator, for receiving the signal of strain sensor and can control the collaborative regulation of intelligent actuator to the locking force of four columns of corinth.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of automatic control of injection molding machines, and in particular to a multi-component injection molding machine mold clamping force dynamic collaborative adjustment system and control method. BACKGROUND

[0002] The mold clamping force of a conventional injection molding machine control system relies on manual preset and cannot respond to mold clamping force fluctuations in real time. Uneven stress on the four corinthian columns causes uneven loading, leading to mold deformation, flash, and risk of corinthian column fracture. Fixed mold clamping force settings result in energy waste (excessive mold clamping) or quality defects (insufficient mold clamping). Multi-component injection molding machines have even greater demand for improvement due to the special nature of the product in the mold cavity and the high precision requirements of the product. SUMMARY

[0003] (I) Technical problem to be solved

[0004] The technical problem to be solved by the present application is to provide a multi-component injection molding machine mold clamping force dynamic collaborative adjustment system and control method, which can effectively solve the problems of unbalanced mold clamping force and unreasonable mold clamping force setting.

[0005] (II) Technical solution

[0006] The solution adopted by the present application to solve the above technical problems is a multi-component injection molding machine mold clamping force dynamic collaborative adjustment system, comprising a movable die plate, a fixed die plate, and four corinthian columns connected between the movable die plate and the fixed die plate; one end of each of the four corinthian columns is connected with an adjusting member for adjusting the corinthian column;

[0007] A distributed sensor unit includes strain sensors arranged on the surfaces of the four corinthian columns, for real-time monitoring of the tensile deformation of each corinthian column and converting the deformation into a mold clamping force value;

[0008] An intelligent actuator includes a mold adjusting servo motor arranged on the adjusting member of each corinthian column, for driving the adjusting member to rotate to adjust the pre-tightening force of each corinthian column, and the adjustment accuracy can reach ±0.01mm;

[0009] A central controller is signal connected with the distributed sensor unit and the intelligent actuator, for receiving signals from the strain sensors and controlling the collaborative adjustment of the mold clamping force of the four corinthian columns by the intelligent actuator.

[0010] In some embodiments, the output end of the mold adjusting servo motor is connected with a speed reducer, and the mold adjusting servo motor is fixed by a fixed seat.

[0011] With the above scheme, the "clamping force" which is difficult to accurately measure in the past is changed from an abstract concept to a specific and real-time readable value through a high-precision strain sensor, providing a data basis for subsequent accurate control; the servo motor replaces the traditional manual or hydraulic adjustment method, making the clamping force adjustment process programmable and controllable, providing physical execution guarantee for dynamic coordination and high-precision adjustment; through the central controller to uniformly receive signals and issue instructions, the four columns are no longer four independent components, but a whole system that can work together, fundamentally solving the problems of uneven stress, rod fracture, and short mold life caused by uneven stress of a single column; the adjustment accuracy of ±0.01mm is much higher than the traditional method, which can ensure the repeat accuracy of each clamping, and fundamentally reduce product defects caused by insufficient clamping force (flash) or excessive clamping force (mold deformation, high internal stress), and improve the yield.

[0012] In some embodiments, the central controller has a priority dynamic allocation module and a clamping force coordinated adjustment algorithm, which can select one column as the main reference column according to the preset priority strategy, and control the clamping force of the remaining three columns to be synchronized with the main reference column; real-time monitoring of the clamping force deviation of the remaining three slave columns from the main column, when the clamping force deviation of any column exceeds the preset threshold, the corresponding intelligent actuator is controlled to adjust the clamping force of the column to be consistent with the main reference column.

[0013] In some embodiments, the preset threshold of the clamping force deviation is ±3% to ±5% of the clamping force of the main reference column, and the system completes automatic adjustment within 0.1 to 0.3 seconds when the deviation exceeds the threshold; the clear deviation threshold (±3% to ±5%) and the extremely short response time (0.1 to 0.3 seconds) ensure that the system can quickly correct the deviation within the injection molding cycle (especially during the holding stage), prevent the accumulation of deviation from causing major equipment or quality accidents, and ensure the continuity and stability of production.

[0014] With the above scheme, the remaining three columns are dynamically and real-time synchronized with the main reference column, which can effectively compensate for the clamping force drift caused by factors such as temperature change and plastic deformation, and always maintain balanced stress on the four columns.

[0015] In some embodiments, the priority dynamic allocation module can set priorities according to historical failure rate data of the spatial positions of the columns, and the column with the lowest historical failure rate is set as the highest priority; when the clamping force deviation of the main reference column exceeds the preset failure threshold, the column with the next priority is automatically switched to the new main reference column.

[0016] Adopting the above scheme, by selecting the most reliable Gelin column as the main reference column, the risk of system out of control due to the fault of the reference column itself is reduced; when the main reference column is abnormal, the system can automatically and seamlessly switch to a healthier Gelin column as the new reference, avoiding shutdown for maintenance, greatly improving the utilization rate and production efficiency of the equipment, and reflecting high intelligence.

[0017] In some embodiments, the central controller further comprises an adaptive optimization module for collecting the locking force change trend and product quality parameters during the injection and holding phases of the injection molding machine, establishing a mapping relationship between the locking force and the product quality, and automatically finding the optimal locking force setting value under the premise of ensuring product quality.

[0018] Adopting the above scheme, an adaptive optimization module is added to the control system, which associates the locking force with the final product quality parameters and automatically finds the optimal setting value, realizing a leap from "process control" to "result optimization". The system is no longer just to ensure uniform locking force, but to optimize the locking force setting value in reverse with the final product quality as the target, making the control strategy more intelligent and forward-looking. The "minimum necessary locking force" under the premise of ensuring quality is automatically found, avoiding the long-term use of excessively high and conservative locking force settings, thereby saving energy consumption, reducing mechanical wear and tear on the Gelin column, mold plate and mold, and prolonging their service life.

[0019] In some embodiments, the adaptive optimization module uses a boundary exploration algorithm to automatically reduce the locking force for boundary exploration after the end of the continuous cycle of qualified production periods of the set number of times, continuously updates the optimal locking force setting value according to the boundary test results, and automatically reverts to the nearest safe locking force value and locks it as the optimal setting value when detecting abnormal product quality parameters.

[0020] Adopting the above scheme, without manual intervention and trial and error, the system automatically performs a cycle of conservation-exploration-reversion, can actively adapt to changes in raw material batches, mold wear and other working conditions, and always maintains production in the optimal parameter window. The logic of "exploring after qualification and reverting upon abnormality" ensures that the exploration behavior will not come at the cost of producing a large number of waste products, with controllable risks and strong practicality.

[0021] In some embodiments, the strain sensor is a high-precision resistance strain gauge or a fiber optic strain sensor with a measurement accuracy of microns and a sampling frequency greater than 500Hz, capable of capturing the dynamic changes in locking force during the injection molding process in real time; the mold adjustment servo motor drives the rotation of the adjustment part to achieve a displacement accuracy of ±0.01mm.

[0022] Adopting the above scheme, the micron-level measurement accuracy and millisecond-level response time are the basis for achieving high-precision closed-loop control and fast dynamic coordination.

[0023] In some embodiments, a bias warning module is further included, which stops the adjustment of the corin column and issues a warning when any corin column lock force deviation exceeds the safety warning threshold, preventing the corin column from breaking and prolonging the service life of the corin column.

[0024] The technical problem is solved by a control method for a multi-component injection molding machine lock force dynamic cooperative adjustment system, which comprises the following steps:

[0025] Step S1: initialize the system, set the priority of each corin column and the initial lock force target value;

[0026] Step S2: real-time acquisition of current lock force data of four corin columns by a distributed sensor unit;

[0027] Step S3: determine the current main corin column according to the priority strategy, and take its lock force as the synchronization reference;

[0028] Step S4: calculate the lock force deviation of the remaining three slave corin columns from the main corin column;

[0029] Step S5: determine whether the deviation exceeds the preset synchronization threshold, if yes, execute step S6, otherwise return to step S2;

[0030] Step S6: control the corresponding intelligent actuator to adjust the lock force of the corin column whose deviation exceeds the limit;

[0031] Step S7: detect the state of the main corin column, if abnormal, automatically switch to the sub-priority corin column as the new main reference column;

[0032] Step S8: return to step S2 to form a closed loop control.

[0033] Specifically, in step S6, a closed loop control algorithm is used to accurately control the intelligent actuator, with a response time of not more than 0.3 seconds and an adjustment accuracy of ±0.01 mm.

[0034] In some embodiments, the method further comprises an adaptive optimization step:

[0035] Step S9: collect the lock force change trend and product quality parameters during the injection molding cycle;

[0036] Step S10: establish a mapping database of lock force and product quality;

[0037] Step S11: after N consecutive cycles are qualified, reduce the lock force set value for boundary exploration, where N is 3-10;

[0038] Step S12: monitor the product quality parameter change, if unqualified, execute step S13, otherwise continue boundary exploration;

[0039] Step S13: back to the nearest safe clamping force value, and determine it as the current optimal setting value;

[0040] Step S14: during the clamping force down exploration, if the product quality parameter is abnormal due to environmental changes such as sudden change of temperature and humidity, it is determined that the clamping force is insufficient, and the clamping force is automatically or manually triggered to adjust, and the environmental parameters and adjustment time are recorded;

[0041] Step S15: based on the boundary exploration test results and environmental adjustment records, dynamically update the optimal clamping force setting value, and complete the adaptive optimization cycle.

[0042] In some embodiments, it also includes a load imbalance early warning processing mechanism:

[0043] When the single corin column clamping force deviation exceeds the safety threshold, stop the adjustment action of the corin column immediately and issue a warning;

[0044] When multiple corin columns are detected to be abnormal at the same time, automatically switch to the safety mode and stop the injection molding production;

[0045] Record the abnormal event and automatically update the corin column priority setting.

[0046] (Three) beneficial effects

[0047] Compared with the prior art, the present application designs a multi-component injection molding machine clamping force dynamic collaborative adjustment system and control method,

[0048] (1) The present application changes the "clamping force" which is difficult to measure accurately in the past from an abstract concept to a specific, real-time readable value through high-precision strain sensors, providing a data basis for subsequent accurate control; The servo motor replaces the traditional manual or hydraulic adjustment method, so that the clamping force adjustment process can be programmed and controlled, providing physical execution guarantee for dynamic collaboration and high-precision adjustment; Through the central controller, signals are uniformly received and instructions are issued, so that the four corin columns are no longer four independent components, but a whole system that can work collaboratively, fundamentally solving the problems of load imbalance, pull rod fracture and short mold life caused by uneven force on a single corin column; The adjustment accuracy of ±0.01mm is much higher than that of traditional methods, which can ensure the repeatability of each clamping, and fundamentally reduce the product defects caused by insufficient clamping force (flash) or excessive clamping force (mold deformation, high internal stress), and improve the yield rate;

[0049] (2) The application takes one "main reference column" as the target, dynamically and in real time aligns the force of the remaining three columns to it, can effectively compensate the mold locking force drift caused by factors such as temperature change and plastic deformation, and always keeps the four columns balanced; By selecting the most reliable column as the main reference column, the risk of system out of control caused by the failure of the reference column itself is reduced; When the main reference column is abnormal, the system can automatically and seamlessly switch to a healthier column as the new reference, avoiding downtime maintenance, greatly improving the utilization rate and production efficiency of the equipment, and reflecting high intelligence;

[0050] (3) The application adds an adaptive optimization module in the control system, associates the mold locking force with the final product quality parameters, and automatically finds the optimal set value, realizes the leap from "process control" to "result optimization", the system is no longer just to ensure uniform mold locking force, but to optimize the mold locking force set value reversely with the final product quality as the target, the control strategy is more intelligent and forward-looking; Automatically find the "minimum necessary mold locking force" under the premise of ensuring quality, avoid long-term use of high and conservative mold locking force setting, thereby saving energy consumption, reducing mechanical wear of the column, mold plate and mold, and prolonging the service life; Without manual intervention and trial and error, the system automatically performs the cycle of conservation-exploration-backtracking, can actively adapt to changes in raw material batches, mold wear and other working conditions, and always keep the production in the optimal parameter window; The logic of "exploring after qualification and backtracking upon abnormality" ensures that the exploration behavior will not be at the cost of producing a large number of waste products, the risk is controllable, and the practicality is strong. BRIEF DESCRIPTION OF DRAWINGS

[0051] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed in the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creating laborious work.

[0052] Figure 1 It is a structural schematic diagram of a multi-component injection molding machine mold locking force dynamic collaborative regulation system of the present application.

[0053] Figure 2 It is a flow chart of a control method of a multi-component injection molding machine mold locking force dynamic collaborative regulation system of the present application.

[0054] Figure 3 It is an adaptive optimization flow chart of a control method of a multi-component injection molding machine mold locking force dynamic collaborative regulation system of the present application.

[0055] Figure 4 It is a load bias early warning processing mechanism flow chart of a control method of a multi-component injection molding machine mold locking force dynamic collaborative regulation system of the present application.

[0056] Corresponding component names of various reference numerals in the figures are as follows: 100, movable die plate; 200, fixed die plate; 300, corinthian column; 400, adjusting member; 500, strain sensor; 600, mold adjusting servo motor; 700, speed reducer; 800, fixing base. DETAILED DESCRIPTION

[0057] The specific embodiments of the present application will be further described in conjunction with the drawings and examples. The following examples are used to illustrate the present application, but cannot be used to limit the scope of the present application.

[0058] In the description of the present application, it should be noted that unless specifically stated and limited otherwise, the terms "mounting", "connected", "connecting" should be understood broadly, for example, can be fixedly connected, can be detachably connected, or integrally connected; can be mechanically connected, or electrically connected; can be directly connected, or indirectly connected through an intermediate medium, or can be the communication inside two elements. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0059] The embodiments of the present application are described below through specific examples. Those skilled in the art can easily understand other advantages and effects of the present application from the disclosure. Obviously, the described embodiments are only a part of the embodiments of the present application, not all. The present application can also be implemented or applied by other different specific embodiments, and the details in the specification can be modified or changed based on different views and applications without departing from the spirit of the present application. It should be noted that the following examples and features in the examples can be combined with each other without conflict. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0060] It should be noted that the various aspects of the embodiments described below are within the scope of the appended claims. It should be apparent that the aspects described herein can be embodied in a wide variety of forms and that any specific structure and / or function described herein is merely illustrative. Based on the teachings herein one skilled in the art should appreciate that an aspect described herein can be implemented independently of any other aspects and that two or more of these aspects can be combined in various ways. For example, an apparatus can be implemented or a method can be practiced using any number of the aspects described herein. In addition, an apparatus can be implemented or a method can be practiced using other structure and / or functionality in addition to or other than one or more of the aspects described herein.

[0061] It is also necessary to note that the drawings provided in the following embodiments only illustrate the basic concepts of the present application in a schematic manner, and only show the components related to the present application in the drawings, not drawn according to the number, shape and size of the components in actual implementation. The type, number and proportion of each component in actual implementation can be a random change, and the component layout type can be more complex.

[0062] In addition, in the following description, specific details are provided in order to facilitate a thorough understanding of the examples. However, one skilled in the art will understand that the examples can be practiced without these specific details.

[0063] The technical solutions provided by the embodiments of the present application are described below in combination with the drawings.

[0064] As shown in the drawings, Figures 1-4 The present application provides a multi-component injection molding machine locking force dynamic collaborative adjustment system, which comprises a movable die plate 100, a fixed die plate 200, and four corinthian columns 300 connected between the movable die plate 100 and the fixed die plate 200; one end of each of the four corinthian columns 300 is connected with an adjusting part 400 for adjusting the corinthian column 300; a distributed sensor unit comprising strain sensors 500 arranged on the surface of each of the four corinthian columns 300, for real-time monitoring of the tensile deformation of each corinthian column 300 and converting the deformation into a locking force value; an intelligent actuator comprising a mold adjusting servo motor 600 arranged on the adjusting part 400 of each of the four corinthian columns 300, for driving the adjusting part 400 to rotate to adjust the pre-tightening force of each corinthian column 300, and the adjustment accuracy can reach ±0.01mm; a central controller connected with the distributed sensor unit and the intelligent actuator for receiving the signal of the strain sensor 500 and being able to control the intelligent actuator to collaboratively adjust the locking force of the four corinthian columns 300. In some embodiments, the output end of the mold adjusting servo motor 600 is connected with a speed reducer 700, and the mold adjusting servo motor 600 is fixed by a fixed seat 800. By using the above scheme, the "locking force" which is difficult to accurately measure in the past is changed from an abstract concept to a specific and real-time readable value by using a high-precision strain sensor 500, which provides a data basis for subsequent accurate control; the servo motor replaces the traditional manual or hydraulic adjustment method, so that the adjustment process of the locking force is programmable and controllable, which provides a physical execution guarantee for dynamic collaboration and high-precision adjustment; the central controller uniformly receives signals and issues instructions, so that the four corinthian columns 300 are no longer four independent components, but a whole system that can work collaboratively, which fundamentally solves the problems of uneven load, pull rod fracture and short mold life caused by uneven stress of a single corinthian column 300; the adjustment accuracy of ±0.01mm is much higher than that of the traditional method, which can ensure the repeatability of each clamping, and fundamentally reduce the product defects caused by insufficient locking force (flash) or excessive locking force (mold deformation, high internal stress), and improve the yield.

[0065] In some embodiments, the central controller is built-in with a priority dynamic allocation module and a mold clamping force coordination adjustment algorithm, which can select one of the four tie bars 300 as the master reference tie bar according to a preset priority strategy, and control the mold clamping forces of the remaining three tie bars 300 to be synchronized with the master reference tie bar; real-time monitor the mold clamping force deviation of the remaining three slave tie bars 300 from the master tie bar 300, and when the mold clamping force deviation of any tie bar 300 exceeds a preset threshold, control the corresponding intelligent actuator to adjust the mold clamping force of the tie bar 300 to be consistent with the master reference tie bar. In some embodiments, the preset threshold of the mold clamping force deviation is ±3% to ±5% of the mold clamping force of the master reference tie bar, and when the deviation exceeds the threshold, the system completes automatic adjustment within 0.1-0.3 seconds; the explicit deviation threshold (±3% to ±5%) and the extremely short response time (0.1-0.3 seconds) ensure that the system can quickly correct the deviation within the injection molding cycle (especially during the holding pressure stage), prevent the accumulation of deviation from causing major equipment or quality accidents, and ensure the continuity and stability of production. With the above scheme, one "master reference tie bar" is taken as the target, and the mold clamping forces of the remaining three tie bars 300 are dynamically and real-time adjusted to be consistent with it, which can effectively compensate for the mold clamping force drift caused by factors such as temperature change and plastic deformation, and always keep the four tie bars 300 balanced. In some embodiments, the priority dynamic allocation module can set the priority according to the historical failure rate data of the spatial position of each tie bar 300, and the tie bar 300 with the lowest historical failure rate is set as the highest priority; when the mold clamping force deviation of the master reference tie bar exceeds a preset failure threshold, the tie bar 300 with the next priority is automatically switched to a new master reference tie bar. With the above scheme, by selecting the most reliable tie bar 300 as the master reference tie bar, the risk of system out of control due to failure of the reference tie bar itself is reduced; when the master reference tie bar is abnormal, the system can automatically and seamlessly switch to a healthier tie bar 300 as a new reference, avoiding downtime for maintenance, greatly improving the utilization rate and production efficiency of the equipment, and reflecting high intelligence.

[0066] In some embodiments, the central controller further comprises an adaptive optimization module for collecting the locking force variation trend and product quality parameters during the injection and holding phases of the injection molding machine, establishing a mapping relationship between the locking force and the product quality, and automatically finding the optimal locking force setting value under the premise of ensuring product quality. With the above scheme, an adaptive optimization module is added to the control system, the locking force is associated with the final product quality parameters, and the optimal setting value is automatically found, realizing a leap from "process control" to "result optimization". The system is no longer just to ensure uniform locking force, but to optimize the locking force setting value in reverse with the final product quality as the target, making the control strategy more intelligent and forward-looking. The "minimum necessary locking force" under the premise of ensuring quality is automatically found, avoiding the long-term use of excessively high and conservative locking force settings, thereby saving energy consumption, reducing mechanical wear on the corin column 300, the mold plate and the mold, and prolonging their service life. In some embodiments, the adaptive optimization module uses a boundary exploration algorithm to automatically reduce the locking force for boundary exploration after each qualified production, and automatically reverts to the nearest safe locking force value and locks it as the optimal setting value when detecting abnormal product quality parameters. After the holding phase ends, the optimal locking force setting value is continuously updated according to the boundary test results. With the above scheme, without manual intervention and trial and error, the system automatically performs a conservative-exploration-revert cycle, can actively adapt to changes in working conditions such as raw material batch changes and mold wear, and always maintains production in an optimal parameter window. The logic of "exploring after qualification and reverting upon abnormality" ensures that the exploration behavior will not come at the cost of producing a large number of waste products, with controllable risks and strong practicality.

[0067] In some embodiments, the strain sensor 500 is a high-precision resistance strain gauge or an optical fiber strain sensor 500 with a measurement accuracy of microns and a sampling frequency greater than 500 Hz, capable of capturing the dynamic changes in locking force in real time during the injection molding process; the mold adjustment servo motor 600 drives the rotation of the adjustment member 400 to achieve a displacement accuracy of ±0.01 mm. With the above scheme, micron-level measurement accuracy and millisecond-level response time are the basis for high-precision closed-loop control and fast dynamic coordination. In some embodiments, it further comprises a partial load warning module that immediately stops the adjustment action of any corin column 300 and issues a warning when detecting that the locking force deviation of the corin column 300 exceeds the safe warning threshold; preventing the corin column 300 from breaking and prolonging the service life of the corin column 300.

[0068] As shown in Figures 1-4 The present application provides a control method based on the above multi-component injection molding machine locking force dynamic collaborative adjustment system, characterized by comprising the following steps:

[0069] Step S1: initialize the system, set the priority of each corin column 300 and the initial locking force target value;

[0070] Step S2: Real-time acquisition of current clamping force data of the four columns 300 by the distributed sensor unit;

[0071] Step S3: Determine the current master column 300 according to the priority strategy, and take its clamping force as the synchronization reference;

[0072] Step S4: Calculate the clamping force deviation of the remaining three slave columns 300 from the master column 300;

[0073] Step S5: Determine whether the deviation exceeds the preset synchronization threshold, if it does, execute step S6, otherwise return to step S2;

[0074] Step S6: Control the corresponding intelligent actuator to adjust the clamping force of the column 300 that exceeds the limit, and use a closed-loop control algorithm to accurately control the intelligent actuator, with a response time of not more than 0.3 seconds and an adjustment accuracy of ±0.01 mm;

[0075] Step S7: Detect the state of the master column 300, if abnormal, automatically switch to the sub-priority column 300 as the new master reference column;

[0076] Step S8: Return to step S2 to form a closed-loop control.

[0077] In some embodiments, characterized in that: further comprising an adaptive optimization step:

[0078] Step S9: Collect the clamping force change trend and product quality parameters during the injection molding cycle;

[0079] Step S10: Establish a mapping database of clamping force and product quality;

[0080] Step S11: After N consecutive cycles are qualified, reduce the clamping force set value to explore the boundary, where N is 3-10;

[0081] Step S12: Monitor the product quality parameter changes, if unqualified, execute step S13, otherwise continue boundary exploration;

[0082] Step S13: Back to the last safe clamping force value and determine it as the current optimal set value;

[0083] Step S14: During the clamping force down exploration, if the product quality parameter is abnormal due to environmental changes such as sudden changes in temperature and humidity, it is determined that the clamping force is insufficient, and the clamping force is automatically or manually triggered for adjustment, and the environmental parameters and adjustment time are recorded;

[0084] Step S15: Based on the boundary exploration test results and environmental adjustment records, dynamically update the optimal clamping force set value to complete the adaptive optimization cycle.

[0085] In some embodiments, a bias early warning processing mechanism is further included:

[0086] When it is detected that the single corin column 300 lock mode force deviation exceeds the safety threshold, the adjustment action of the corin column 300 is immediately stopped and a warning is issued;

[0087] When it is detected that multiple corin columns 300 are abnormal at the same time, the system automatically switches to a safety mode and stops injection molding production;

[0088] Record abnormal events and automatically update the priority settings of the corin column 300.

[0089] The same and similar parts among the various embodiments in the specification can be referred to each other, and each embodiment focuses on the difference from other embodiments.

[0090] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited to this. Any person skilled in the art can easily think of changes or replacements within the technical scope disclosed in the present application, which should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A multi-component injection molding machine clamp force dynamic co-ordination system, characterized by: The mold clamping force adjustment device comprises a movable mold plate (100), a fixed mold plate (200), and four corinthian columns (300) connected between the movable mold plate (100) and the fixed mold plate (200); one end of each of the four corinthian columns (300) is connected with an adjusting part (400) for adjusting the corinthian column (300); a distributed sensor unit comprising strain sensors (500) arranged on the surfaces of the four corinthian columns (300) respectively, for monitoring the tensile deformation of each corinthian column (300) in real time and converting the deformation into a mold clamping force value; an intelligent actuator comprising mold adjusting servo motors (600) arranged on the adjusting parts (400) of the four corinthian columns (300) respectively, for driving the adjusting parts (400) to rotate to adjust the pre-tightening force of each corinthian column (300), and the adjusting precision can reach ±0.01mm; a central controller connected with the distributed sensor unit and the intelligent actuator, for receiving the signals of the strain sensors (500) and being capable of controlling the intelligent actuator to cooperatively adjust the mold clamping forces of the four corinthian columns (300); the central controller further comprises an adaptive optimization module, for collecting the mold clamping force variation trend and product quality parameters during the injection and pressure maintaining stages of the injection molding machine, establishing a mapping relationship between the mold clamping force and the product quality, and automatically finding an optimal mold clamping force setting value under the premise of ensuring the product quality; the adaptive optimization module adopts a boundary exploration algorithm, automatically reduces the mold clamping force after the end of the continuous circulation qualified production cycle of a set mold number to perform boundary exploration, continuously updates the optimal mold clamping force setting value according to the boundary test result, and automatically reverts to the nearest safe mold clamping force value and locks it as the optimal setting value when detecting an abnormal product quality parameter.

2. The multi-component injection molding machine clamp force dynamic co-ordination system of claim 1, wherein: The central controller is internally provided with a priority dynamic allocation module and a mold clamping force cooperative adjustment algorithm, which can select one corinthian column (300) as a master reference column according to a preset priority strategy, and control the mold clamping forces of the remaining three corinthian columns (300) to be synchronized with the master reference column; the mold clamping force deviations of the remaining three slave corinthian columns (300) from the master corinthian column (300) are monitored in real time, and when the mold clamping force deviation of any corinthian column (300) exceeds a preset threshold, the corresponding intelligent actuator is controlled to adjust the mold clamping force of the corinthian column (300) to be consistent with the master reference column.

3. The multi-component injection molding machine clamp force dynamic co-ordination system of claim 2, wherein: The priority dynamic allocation module can set the priority according to the historical failure rate data of the spatial positions of the corinthian columns (300), and the corinthian column (300) with the lowest historical failure rate is set as the highest priority; when the mold clamping force deviation of the master reference column exceeds a preset failure threshold, the corinthian column (300) with the next priority is automatically switched as a new master reference column.

4. The multi-component injection molding machine clamp force dynamic co-ordination system of claim 1, wherein: The strain sensors (500) are high-precision resistance strain gauges or fiber optic strain sensors (500), the measurement precision reaches the micron level, the sampling frequency is greater than 500Hz, and the dynamic changes of the mold clamping force during the injection molding process can be captured in real time; the mold adjusting servo motors (600) drive the adjusting parts (400) to rotate to realize the displacement precision of ±0.01mm.

5. The multi-component injection molding machine clamp force dynamic co-ordination system of claim 1 wherein: Further comprising a bias load early warning module, when detecting that any one of the tie bars (300) has a clamping force deviation exceeding a safety early warning threshold, immediately stop the adjustment action of the tie bar (300) and issue a warning.

6. A control method for a dynamic collaborative adjustment system of the clamping force of a multi-component injection molding machine according to any one of the preceding claims 1-5, characterized in that: Comprising the following steps: Step S1: start system initialization, set the priority of each tie bar (300) and the initial clamping force target value; Step S2: real-time acquisition of current clamping force data of four tie bars (300) through a distributed sensor unit; Step S3: determine the current master tie bar (300) according to the priority strategy, and take its clamping force as the synchronization reference; Step S4: calculate the clamping force deviation of the remaining three slave tie bars (300) from the master tie bar (300); Step S5: judge whether the deviation exceeds the preset synchronization threshold, if yes, execute step S6, otherwise return to step S2; Step S6: control the corresponding intelligent actuator to adjust the clamping force of the tie bar (300) whose deviation exceeds the limit; Step S7: detect the state of the master tie bar (300), if abnormal, automatically switch to the sub-priority tie bar (300) as the new master reference column; Step S8: return to step S2 to form a closed-loop control.

7. The control method of the dynamic collaborative adjustment system of the locking force of a multi-component injection molding machine according to claim 6, characterized in that: Further comprising an adaptive optimization step: Step S9: collect the clamping force change trend and product quality parameters during the injection molding cycle; Step S10: establish a mapping database of clamping force and product quality; Step S11: after N consecutive cycles are qualified, reduce the clamping force set value for boundary exploration, where N is 3-10; Step S12: monitor the product quality parameter changes, if unqualified, execute step S13, otherwise continue boundary exploration; Step S13: back to the last safe clamping force value and determine it as the current optimal set value; Step S14: during the clamping force down exploration, if the product quality parameters are abnormal due to environmental changes such as sudden changes in temperature and humidity, it is determined that the clamping force is insufficient, and the clamping force up adjustment is automatically or manually triggered, and the environmental parameters and adjustment time are recorded; Step S15: based on the boundary exploration test results and environmental adjustment records, dynamically update the optimal clamping force set value to complete the adaptive optimization cycle.

8. The control method of the dynamic collaborative adjustment system of the locking force of a multi-component injection molding machine according to claim 6, characterized in that: Further comprising a bias load early warning processing mechanism: When detecting that the clamping force deviation of a single tie bar (300) exceeds the safety threshold, immediately stop the adjustment action of the tie bar (300) and issue a warning; When detecting that multiple tie bars (300) are abnormal at the same time, automatically switch to the safety mode and stop the injection molding production; Record abnormal events and automatically update the priority setting of the tie bar (300).

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