Demolding control method and system for preventing deformation of plastic mold

Abstract

The invention relates to the technical field of demolding control, and provides an anti-deformation demolding control method and system for a plastic mold. The method comprises the steps that temperature sensing is conducted on a mold, and the initial temperature is obtained; traversing according to the initial temperature, determining a to-be-preheated area, and performing temperature control calculation to obtain a temperature uniformity coefficient; activating a cooling channel based on the temperature uniformity coefficient, and performing staged cooling to obtain cooling state data; demolding analysis is conducted according to the cooling data, demolding parameters are generated, dynamic association is conducted in combination with environment temperature changes, and a demolding strategy is formulated; simulating and executing a demolding strategy, performing deformation monitoring, generating feedback data, optimizing the strategy and executing anti-deformation demolding operation. The technical problem of mold deformation caused by non-uniform temperature distribution in the demolding process of the plastic mold is solved, and the technical effects of avoiding mold deformation and improving the product quality and the production efficiency by accurately controlling the temperature distribution, the cooling process and the demolding parameters are achieved.

Description

Technical Field

[0001] The present application relates to the field of demoulding control technology, and in particular to a demoulding control method and system for preventing deformation of plastic molds. Background Art

[0002] The manufacturing process of plastic molds occupies a core position in modern plastic processing. With the improvement of product precision and production efficiency requirements, the deformation problem of plastic molds has gradually become a key factor restricting production quality, especially in the demolding stage. Factors such as mold temperature changes and uneven cooling rates often cause plastic molds to deform, which in turn affects the dimensional accuracy and appearance quality of the product, and may even cause mold damage, increase production costs and cycles. Most of the existing demolding control methods focus on manual adjustment of mold temperature or cooling system control, but these methods usually lack real-time dynamic adjustment mechanisms and are difficult to meet the precise requirements under different working conditions. In addition, existing technologies often ignore the impact of temperature uniformity on the mold demolding process and fail to achieve intelligent, multi-dimensional comprehensive regulation in multiple stages of mold cooling. Summary of the invention

[0003] The present application provides a demoulding control method and system for preventing deformation of a plastic mold, aiming to solve the technical problem of mold deformation caused by uneven temperature distribution during the demoulding process of the plastic mold.

[0004] In view of the above problems, the present application provides a demoulding control method and system for preventing deformation of a plastic mold.

[0005] In a first aspect disclosed in the present application, a demolding control method for preventing deformation of a plastic mold is provided, the method comprising: configuring a data acquisition system to perform multi-point temperature sensing on the plastic mold to obtain multi-point initial temperatures of the plastic mold; performing multi-point traversal of the plastic mold according to the multi-point initial temperatures to determine multiple areas to be preheated, preheating the multiple areas to be preheated to perform temperature control calculations, and obtaining a temperature uniformity coefficient of the plastic mold; activating a cooling control channel based on the temperature uniformity coefficient, cooling the plastic mold in stages through the cooling control channel, and obtaining mold cooling status data; performing multi-dimensional demolding analysis on the plastic mold according to the mold cooling status data to generate multiple demolding parameters, dynamically correlating the multiple demolding parameters with the ambient temperature change trend, and formulating a demolding strategy; simulating the execution of the demolding strategy on the plastic mold to perform deformation monitoring, generating deformation feedback data, optimizing the demolding strategy according to the deformation feedback data, and generating a demolding optimization strategy to perform adaptive anti-deformation demolding operations on the plastic mold.

[0006] Another aspect disclosed in the present application provides a demolding control system for preventing deformation of a plastic mold, the system comprising: a multi-point temperature sensing unit: configuring a data acquisition system to perform multi-point temperature sensing on the plastic mold to obtain multi-point initial temperatures of the plastic mold; a temperature control calculation unit: performing multi-point traversal of the plastic mold according to the multi-point initial temperatures, determining multiple areas to be preheated, preheating the multiple areas to be preheated to perform temperature control calculation, and obtaining a temperature uniformity coefficient of the plastic mold; a staged cooling unit: activating a cooling control channel based on the temperature uniformity coefficient, cooling the plastic mold in stages through the cooling control channel, and obtaining mold cooling state data; a dynamic association unit: performing multi-dimensional demolding analysis on the plastic mold according to the mold cooling state data, generating multiple demolding parameters, dynamically associating the multiple demolding parameters in combination with the ambient temperature change trend, and formulating a demolding strategy; an anti-deformation demolding operation unit: performing deformation monitoring on the plastic mold by simulating the execution of the demolding strategy, generating deformation feedback data, optimizing the demolding strategy according to the deformation feedback data, and generating a demolding optimization strategy to perform adaptive anti-deformation demolding operation on the plastic mold.

[0007] One or more technical solutions provided in this application have at least the following technical effects or advantages: The above-mentioned demoulding control method for preventing deformation of plastic molds, the method configures a data acquisition system to perform multi-point temperature sensing on the plastic mold, monitors the temperature distribution of the mold in real time, and ensures that the temperature data of each area can be accurately collected; by analyzing these initial temperature data, the mold is traversed at multiple points, and multiple areas that need to be preheated are identified, and these areas are preheated through temperature control calculation to ensure the uniformity of temperature of various parts of the mold; after the temperature uniformity is optimized, the mold is cooled in stages by activating the cooling control channel. At this time, the cooling process not only relies on fixed time or temperature, but is dynamically adjusted according to the specific cooling state data of the mold to optimize the cooling efficiency; as the cooling As the process progresses, the cooling state data of the mold is collected and used for multi-dimensional demoulding analysis. Through the analysis of these data, multiple demoulding parameters are generated, and the demoulding process is dynamically adjusted in combination with the trend of ambient temperature changes. This dynamic association method can optimize the demoulding parameters in real time according to changes in the external environment to ensure the stability of the mold during the demoulding process; in addition, the demoulding strategy is simulated and the deformation of the mold during the demoulding process is fed back through deformation monitoring. The deformation feedback data is used to optimize the demoulding strategy in real time, so that adaptive adjustments can be made based on the feedback of the mold, further improving the accuracy of the demoulding operation, and ultimately ensuring the anti-deformation effect of the mold during the demoulding process. This intelligent and dynamically adjusted control method not only improves the success rate of mold demoulding, but also reduces production defects caused by mold deformation, improving product quality and production efficiency.

[0008] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0010] Figure 1 The figure is a flow chart of a demoulding control method for preventing deformation of a plastic mold in one embodiment.

[0011] Figure 2 The present invention is a schematic diagram of a demoulding control system for preventing deformation of a plastic mold in one embodiment.

[0012] Explanation of the reference numerals: multi-point temperature sensing unit 1, temperature control calculation unit 2, staged cooling unit 3, dynamic correlation unit 4, anti-deformation demoulding operation unit 5. DETAILED DESCRIPTION

[0013] The embodiments of the present application provide a demoulding control method and system for preventing deformation of a plastic mold, thereby solving the technical problem of mold deformation caused by uneven temperature distribution during the demoulding process of the plastic mold.

[0014] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0015] It should be noted that the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or server that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or modules that are not explicitly listed or inherent to these processes, methods, products or devices.

[0016] Embodiment 1, as Figure 1 As shown, the present application provides a demoulding control method for preventing deformation of a plastic mold, the method comprising: The data acquisition system is configured to perform multi-point temperature sensing on the plastic mold to obtain the multi-point initial temperature of the plastic mold.

[0017] In an embodiment of the present application, in order to perform temperature detection on a plastic mold, a data acquisition system is configured. The system terminal can obtain monitoring data from multiple temperature sensors arranged at different parts of the plastic mold by interacting with the data acquisition system; these temperature sensors can monitor the temperature changes on the surface and inside of the mold in real time, and accurately record the initial temperature of the mold at different positions, such as the core and surface of the mold, and areas that may be affected by large temperature differences; the system terminal constructs multi-point initial temperatures of the plastic mold by acquiring these temperature data, providing an accurate data basis for subsequent temperature control and adjustment, thereby ensuring that the temperature state of each part can be effectively captured and analyzed.

[0018] Performing multi-point traversal on the plastic mold according to the multi-point initial temperatures, determining a plurality of areas to be preheated, preheating the plurality of areas to be preheated to perform temperature control calculation, and obtaining a temperature uniformity coefficient of the plastic mold; In one embodiment, according to the obtained multi-point initial temperatures, the system terminal will perform multi-point traversal on the plastic mold, analyze the temperature difference of each position, and mark the position corresponding to the initial temperature that does not meet the preset initial temperature difference for preheating treatment, so as to obtain multiple areas to be preheated; before demolding, heating these areas to be preheated by preheating treatment can effectively avoid product deformation caused by excessive temperature difference of the mold, especially for some parts of the mold, if the temperature is too low, it may cause uneven shrinkage of the molded plastic, and then cause deformation of the surface or inside of the product; after determining multiple areas to be preheated, the system terminal will control the temperature of these areas to be preheated to ensure that the temperature difference of the mold heated to different positions is within the preset initial temperature difference; after preheating is completed, the system terminal calculates the mean and standard deviation according to the multi-point initial temperatures after preheating, and then uses the calculated standard deviation to perform ratio calculation with the mean to obtain the temperature uniformity coefficient of the plastic mold, which is used to indicate the uniformity of the temperature of each part of the mold. The smaller the temperature uniformity coefficient, the closer the temperature of each area of ​​the mold is, which can effectively prevent the problem of product deformation during demolding caused by excessive temperature difference. Such preheating and temperature control treatment not only ensures the stability of the plastic material, but also lays a solid foundation for the subsequent cooling and demolding processes.

[0019] The cooling control channel is activated based on the temperature uniformity coefficient, and the plastic mold is cooled in stages through the cooling control channel to obtain mold cooling state data.

[0020] In one embodiment, based on the obtained temperature uniformity coefficient, the system terminal evaluates the temperature distribution of the mold. If the temperature uniformity coefficient indicates that the temperature difference of the mold is large, the cooling control channel will be activated to improve the temperature uniformity of the mold through precise cooling. The cooling process is not completed in one go, but is carried out in stages. When the temperature distribution is uneven, the initial cooling module is used for cooling control, and when the temperature distribution is uniform, the transition cooling module is used for cooling control. When the temperature approaches the target cooling temperature, the fine cooling module is used for cooling control. As the cooling process proceeds, the system terminal will continuously collect cooling status data, which includes temperature changes in each stage, cooling rate, overall temperature status of the mold, etc., laying a data foundation for subsequent multi-dimensional demolding analysis.

[0021] Further, the present application provides a method for activating a cooling control channel based on the temperature uniformity coefficient, the method comprising: Retrieve the historical temperature data record log of the plastic mold, perform uniformity analysis based on the historical temperature data record log, and set a temperature uniformity threshold; determine whether the temperature uniformity coefficient is greater than or equal to the temperature uniformity threshold; if the temperature uniformity coefficient is greater than or equal to the temperature uniformity threshold, perform multi-region traversal of the plastic mold according to the temperature uniformity coefficient, determine multiple high-temperature sub-regions, generate a first activation instruction, and activate the initial cooling module in the cooling control channel according to the first activation instruction; if the temperature uniformity coefficient is less than the temperature uniformity threshold, perform temperature difference analysis based on the temperature uniformity coefficient, construct temperature gradient data, generate a second activation instruction, and activate the transition cooling module in the cooling control channel according to the second activation instruction.

[0022] Preferably, the system terminal retrieves temperature information from the historical temperature data record log of the plastic mold. These data contain the temperature records of the mold in different production cycles and different working conditions. By analyzing these historical data, the temperature distribution of the mold can be evaluated; the system terminal will use the same method as above to calculate the temperature uniformity coefficient of each group of temperature data in the historical temperature data record log, and then calculate the average of all calculated temperature uniformity coefficients to determine the temperature uniformity threshold, which is used to measure the ideal state of the mold temperature distribution; then, the previously calculated temperature uniformity coefficient is compared with the temperature uniformity threshold to determine whether the temperature uniformity coefficient is greater than or equal to the temperature uniformity threshold; if the temperature uniformity coefficient is greater than or equal to the temperature uniformity threshold, it means that the temperature of the mold is still unevenly distributed, and the temperature difference in some areas is large, which may cause deformation of the mold. At this time, the system terminal traverses the mold in multiple areas according to the temperature uniformity coefficient. The traversal process involves checking the temperature of each area of ​​the mold one by one. In each area, the temperature value of the area is recorded, and the temperature difference of the area is compared with the temperature of other areas. In this way, the system terminal can identify which areas have too high temperatures and which areas have low temperatures. , and then analyze the temperature difference of these areas according to the preset initial temperature difference, identify the areas exceeding the preset initial temperature difference, and thus determine multiple high-temperature sub-areas, which usually need to be cooled first; according to these high-temperature areas, the system terminal generates a first activation instruction for activating the initial cooling module in the cooling control channel. This initial cooling module has a stronger cooling capacity for the high-temperature area, which helps to quickly reduce the temperature of these areas and balance the overall temperature distribution of the mold; if the temperature uniformity coefficient is less than the temperature uniformity threshold, it means that the temperature of the mold tends to be uniform and the temperature difference of each part of the mold has stabilized. At this time, the system terminal continues to perform temperature difference analysis and constructs temperature gradient data based on the temperature difference and the spatial distance of temperature change. For example, the temperature difference between the surface and the inside of the mold is divided by the distance between them to obtain temperature gradient data; based on this temperature gradient data, the system terminal generates a second activation instruction for activating the transition cooling module in the cooling control channel. This transition cooling module cools the mold more gently according to the temperature gradient data to avoid excessively rapid temperature changes and ensure temperature balance.

[0023] Furthermore, the present application provides a method for cooling the plastic mold in stages through the cooling control channel to obtain mold cooling state data, the method comprising: According to the first activation instruction, the initial cooling module in the cooling control channel is activated, and the multiple high-temperature sub-areas are cooled by the initial cooling module to generate a first cooling result; according to the second activation instruction, the transition cooling module in the cooling control channel is activated, and the plastic mold is cooled uniformly by the transition cooling module according to the temperature gradient data to generate a second cooling result; cooling calculation is performed according to the first cooling result and the second cooling result to determine the cooling rate; according to the cooling rate, it is determined whether the multi-point real-time temperature of the plastic mold approaches the target cooling temperature, and if the multi-point real-time temperature approaches the target cooling temperature, the fine cooling module is activated, and the plastic mold is cooled and refined by the fine cooling module to obtain the mold cooling status data.

[0024] Optionally, the system terminal activates the initial cooling module in the cooling control channel according to the first activation instruction. The initial cooling module will give priority to cooling multiple high-temperature sub-areas of the mold. By controlling the flow rate, cooling intensity and other parameters of the cooling channel, the initial cooling module will directly act on the high-temperature areas to quickly reduce the temperatures of these areas to avoid excessive temperature differences. During the cooling process, the system terminal will monitor the cooling effect in real time, record the temperature changes during the cooling process, and generate a first cooling result, which reflects the impact of the initial cooling on the mold temperature, including cooling time, temperature changes and other data. When the initial cooling is completed, the system terminal activates the cooling control channel according to the second activation instruction. Transition cooling module: The transition cooling module starts working at this stage, with the purpose of further uniformly cooling other areas of the mold. The transition cooling module adjusts the cooling process according to the temperature gradient data to avoid excessive local temperature changes. During the cooling process, a second cooling result will be generated, which also includes data such as cooling time and temperature change. After completing the preliminary and transition cooling, the system terminal performs cooling calculations based on the first cooling result and the second cooling result. At this time, the temperature changes during the entire cooling process will be analyzed and the cooling rate will be calculated. That is, the cooling rate is determined by ratio calculation based on the temperature changes in each area of ​​the mold and the cooling time. The goal of the cooling rate is to ensure that the mold can be cooled within the set temperature. The temperature is uniformly lowered within a certain period of time, while avoiding thermal stress and product deformation caused by too fast cooling; subsequently, the data acquisition system will continuously collect the real-time temperature of multiple points of the mold during the entire cooling process. These real-time temperature data come from temperature sensors in various areas of the mold. The system terminal compares these real-time temperature data with the target cooling temperature and calculates the difference between the real-time temperature data and the target cooling temperature, where the target cooling temperature is the ideal temperature value set according to the material properties of the mold, product quality requirements and production process; then, the calculated difference is calculated by ratio calculation with the cooling rate to determine the expected cooling time. If there is an expected cooling time that is less than or equal to the critical time, it means The real-time temperature of multiple points has approached the target cooling temperature. At this time, the system terminal activates the fine cooling module. The function of the fine cooling module is to perform more detailed cooling treatment on the mold by fine-tuning the flow and cooling rate of the cooling channel. At this stage, the system terminal will carefully control the cooling process to avoid sudden temperature changes caused by excessive cooling to ensure a smooth temperature transition and prevent the mold from experiencing drastic temperature fluctuations when approaching the target temperature. During the fine cooling process, the system terminal monitors and records the mold cooling status data in real time, including the real-time temperature, cooling rate and cooling time of each area. These data help to evaluate the final effect of the cooling process and provide a reference for subsequent production.

[0025] A multi-dimensional demoulding analysis is performed on the plastic mold according to the mold cooling state data to generate a plurality of demoulding parameters. A demoulding strategy is formulated based on a dynamic association of the plurality of demoulding parameters with the ambient temperature change trend.

[0026] In one embodiment, after obtaining the mold cooling state data, the system terminal analyzes the mold cooling state data to understand the temperature changes in different areas of the mold, and then performs demolding analysis, demolding displacement calculation and force analysis based on the thermal expansion coefficient of the mold material and the temperature change, and determines a set of demolding parameters, including demolding force parameters, demolding angle parameters and demolding speed parameters; then, the temperature change of the ambient temperature data of the plastic mold is analyzed by time series analysis to obtain the ambient temperature change trend, and then the mold temperature influence is determined according to the change direction of the ambient temperature change trend, and the demolding force parameters are adjusted according to the determination result; then, all the adjustment results are correlated and integrated to formulate a demolding strategy. The core of the demolding strategy is to ensure that the mold will not be subjected to excessive temperature shock or mechanical stress during the demolding process, thereby avoiding mold damage or product quality problems. The strategy content includes demolding force control, demolding angle control, and demolding speed control, which help to ensure that the demolding operation is more accurate and avoid problems caused by factors such as temperature changes and improper demolding force, thereby improving production efficiency, reducing product defects, and ensuring the quality of molds and products.

[0027] Furthermore, the present application provides a method for performing multi-dimensional demoulding analysis on a plastic mold according to the mold cooling state data to generate multiple demoulding parameters, the method comprising: Based on the mold cooling state data, the temperature field distribution of the plastic mold is analyzed to construct a heat conduction model; based on the mold cooling state, the shrinkage of the plastic mold is calculated to obtain the thermal expansion coefficient; according to the heat conduction model and the thermal expansion coefficient, a demoulding analysis is performed to obtain a demoulding force parameter; according to the demoulding force parameter, the demoulding displacement of the plastic mold is calculated to set a demoulding angle parameter; using the demoulding angle parameter as a constraint condition, a force analysis is performed on the demoulding force parameter to determine a demoulding speed parameter; the demoulding force parameter, the demoulding angle parameter, and the demoulding speed parameter are added to the multiple demoulding parameters.

[0028] Preferably, the system terminal applies the heat conduction principle to construct a heat conduction model, which includes a heat conduction equation. By inputting historical data with deviations within a preset range retrieved based on the mold cooling state data, the heat conduction model is optimized, and the thermal conductivity, specific heat capacity, density and other parameters of the heat conduction model are adjusted until the temperature field distribution of the model matches the temperature data in the actual cooling process, ensuring that the temperature changes in various regions of the mold can accurately reflect the actual cooling effect; then, the temperature change of the mold is extracted from the mold cooling state data, and the difference between the measured volume of the mold after cooling and the volume of the mold before cooling is calculated, and the ratio of this difference and the product of the volume of the mold before cooling and the temperature change is calculated to obtain the thermal expansion coefficient, which will affect the stress and deformation generated by the mold during the cooling process; then, the system terminal inputs the mold cooling state data into the heat conduction model, which simulates the temperature field inside the mold, predicts the temperature distribution of the mold during the demolding process, determines the temperature changes in different regions, and then combines the thermal expansion coefficient of the mold material, multiplies the thermal expansion coefficient by the temperature change, and then multiplies it by the elastic modulus of the material to obtain thermal stress, and then the thermal stress is compared with the friction between the mold and the molded part. The demoulding force parameter is obtained by adding the force and adhesion force, where the friction force is calculated based on the friction coefficient between the mold and the molded part, and the pressure between the mold surface and the molded part, and the adhesion force is calculated based on the contact area between the mold surface and the molded part, and the adhesion strength. If this demoulding force parameter is too large, it will cause damage to the mold, and if it is too small, it may not be demoulded smoothly. After obtaining the demoulding force parameter, the system terminal uses this demoulding force parameter and the mold stiffness coefficient to calculate the ratio to obtain the demoulding displacement, and then performs an inverse tangent calculation on the ratio of this demoulding displacement to the contact length between the mold surface and the molded part to obtain the demoulding displacement. Angle parameter, a suitable demoulding angle helps to reduce friction and stress during the demoulding process; then, the system terminal uses the demoulding angle parameter as a constraint condition, and obtains the tangential component by multiplying the demoulding force parameter with the sine value of the demoulding angle. This tangential component is then used to calculate the ratio of the mold stiffness coefficient to obtain the demoulding speed parameter. Too fast a demoulding speed may cause deformation or damage, while too slow a demoulding speed may affect production efficiency; finally, the system terminal adds the demoulding force parameter, demoulding angle parameter, and demoulding speed parameter to multiple demoulding parameters. These demoulding parameters will serve as a guide for the demoulding process to ensure a smooth and efficient demoulding process.

[0029] Furthermore, the present application provides a method for formulating a demoulding strategy based on a dynamic association of the multiple demoulding parameters in combination with the trend of ambient temperature changes, the method comprising: A time series analysis is used to perform a temperature change analysis on the ambient temperature data of the plastic mold to obtain the ambient temperature change trend; the mold temperature influence is determined based on the ambient temperature change trend to generate an influence determination result; when the ambient temperature change trend is an upward trend, the demoulding speed parameter is dynamically adjusted based on the influence determination result to generate a first dynamic adjustment result; when the ambient temperature change trend is a downward trend, the demoulding force parameter is dynamically adjusted based on the influence determination result to generate a second dynamic adjustment result; the first dynamic adjustment result and the second dynamic adjustment result are associated and integrated according to the demoulding angle parameter to formulate the demoulding strategy.

[0030] Optionally, the system terminal collects temperature data of the environment around the mold through temperature sensors arranged in the surrounding environment in the data acquisition system, and sorts these ambient temperature data in chronological order; for the serialized ambient temperature data, the ambient temperature curve is fitted with time as the horizontal axis and the ambient temperature data as the vertical axis; the system terminal performs temperature change analysis through the fitted curve, that is, identifies whether the curve shows an upward trend or a downward trend, thereby obtaining the ambient temperature change trend; then, based on the analysis results of the ambient temperature change trend, the system terminal determines the potential impact of temperature changes on the demolding process. When it shows an upward trend, it means that the ambient temperature is gradually increasing, which may cause the mold surface temperature to increase, and when it shows a downward trend, it means that the ambient temperature is gradually decreasing, which may cause the mold surface temperature to decrease; by sorting out the judgment results, the system terminal obtains the impact judgment result; for the ambient temperature change trend being an upward trend, the impact judgment result is that the ambient temperature rises, and the mold surface temperature will increase accordingly. At this time, the contact force between the mold and the molded part may increase, causing the demolding process to become more difficult. Therefore, the system terminal will respond to this change by dynamically adjusting the demolding speed. By increasing the demolding speed , which can reduce the accumulation of mold surface temperature and avoid deformation or damage of plastic parts caused by excessive temperature changes; the system terminal generates the first dynamic adjustment result based on the increased demoulding speed parameter, which can reduce the impact of mold temperature increase, improve demoulding efficiency and reduce deformation risk; for the downward trend of ambient temperature change, the impact judgment result is that the ambient temperature drops and the mold temperature will drop accordingly. At this time, the contact force between the mold and the molded part may decrease, but the demoulding process may require higher pressure to ensure the integrity of the workpiece and smooth demoulding. Therefore, the system terminal will respond by dynamically increasing the demoulding force. Low temperature conditions should be met to ensure that the pressure during the demoulding process is sufficient to avoid the situation where the molded parts are cracked or incompletely demoulded; the system terminal generates a second dynamic adjustment result based on the added demoulding force parameter, which can ensure that the demoulding process can still proceed smoothly when the temperature is low, avoiding demoulding difficulties or damage to the molded parts due to too low temperature; then, the system terminal associates and integrates the above two adjustment results with the demoulding angle parameter, that is, the adjusted demoulding speed parameter and demoulding force parameter are combined with the demoulding angle parameter to formulate a complete demoulding strategy to ensure that the demoulding process can proceed smoothly under different ambient temperature conditions.

[0031] The demoulding strategy is simulated and executed on the plastic mold to monitor deformation, generate deformation feedback data, optimize the demoulding strategy according to the deformation feedback data, and generate a demoulding optimization strategy to perform adaptive anti-deformation demoulding operation on the plastic mold.

[0032] In one embodiment, the system terminal will simulate the demoulding process by finite element analysis according to the established demoulding strategy. During the simulated demoulding process, the deformation of the mold and the molded part is monitored, and deformation analysis is performed on the monitoring results to generate deformation feedback data. Subsequently, based on the deformation feedback data, demoulding change analysis is performed, and then optimization analysis in terms of demoulding time, demoulding speed, etc. is performed according to the analysis results to obtain multiple optimization response results. According to these optimization response results, the system terminal optimizes and verifies the obtained demoulding strategy, and generates a demoulding optimization strategy according to the verification results. This optimization strategy ensures the stability of the mold during the demoulding process by adjusting factors such as demoulding speed and demoulding force. Finally, the system terminal avoids deformation of the mold by executing the optimized demoulding strategy, and ensures that the molded part can be demoulded smoothly and completely. This process is adaptive, that is, the strategy is automatically adjusted according to the feedback results of each demoulding to ensure that the deformation of the mold in the next demoulding process is minimized, thereby improving the safety, integrity and production efficiency of the mold and the molded part during the demoulding process.

[0033] Furthermore, the present application provides a method for monitoring deformation of a plastic mold by simulating the demoulding strategy and generating deformation feedback data, the method comprising: The plastic mold is simulated and analyzed by using the finite element analysis method to construct a thermal-mechanical coupling model; the demolding is simulated based on the thermal-mechanical coupling model combined with the demolding strategy to generate a simulated demolding result; the mold deformation of the plastic mold is identified according to the simulated demolding result to generate a plurality of deformation data; the plurality of deformation data are traced to the source to generate a plurality of deformation influencing data sources; the deformation analysis of the plastic mold is performed based on the plurality of deformation influencing data sources to generate the deformation feedback data.

[0034] Preferably, the system terminal uses finite element analysis (FEA) to simulate and analyze the plastic mold and construct a thermal-mechanical coupling model. First, a thermal-mechanical coupling model is constructed, which combines the temperature change of the plastic mold during the molding process with the deformation behavior under the applied pressure. Through the finite element method, the model will simulate the temperature field, stress field and mutual coupling influence on the mold surface and inside; in the thermal analysis part, the heat conduction, specific heat capacity and thermal expansion coefficient of the plastic material are considered to calculate the temperature distribution of the mold during the injection molding process; in the mechanical analysis part, the deformation of the mold due to temperature change, external pressure and internal stress during the demolding process is calculated through the stress-strain relationship; thermal and mechanical analysis are coupled, because temperature changes will cause thermal expansion of the mold, thereby affecting the stress state and deformation of the mold; in this way, the thermal-mechanical coupling model obtained by finite element simulation can fully describe the coupling effect of temperature distribution and stress deformation of the plastic mold during the molding process, and provide an accurate theoretical basis for mold design optimization, process adjustment and deformation prevention; then, based on the constructed thermal-mechanical coupling model and combined with the formulated demolding strategy, the system terminal simulates demolding. During the simulation, the system terminal will analyze the interaction between the mold and the molded part, including factors such as thermal expansion, mold deformation, and changes in demolding force. During this process, a simulated demolding strategy will be executed, and changes in various variables (such as temperature, pressure, displacement, etc.) will be recorded during the simulation process to obtain simulated demolding results, including the temperature, stress and deformation data of the plastic mold under different demolding conditions; after completing the simulated demolding, the system terminal will process the simulated demolding results to identify and analyze possible deformation of the mold.The identification process includes material property analysis, demoulding force and pressure distribution analysis, and mold geometry analysis. For material property analysis, the system terminal analyzes the thermal expansion coefficient, elastic modulus, viscosity and other properties of the plastic material. These properties have an important influence on the degree of deformation of the mold. For example, materials with a large thermal expansion coefficient will produce a large dimensional change during the cooling process, resulting in uneven deformation of certain areas of the mold. By establishing a thermodynamic property database of the material, the system terminal calculates the deformation behavior of the plastic material according to different temperature and stress conditions. For example, when the temperature changes greatly, the volume of the material expands or contracts. Combined with the elastic modulus of the material, the degree of deformation of the mold under temperature changes is calculated. For demoulding force and pressure distribution analysis, the system terminal simulates the demoulding force and pressure distribution applied during the demoulding process, and conducts a detailed analysis of the stress distribution on the surface and inside of the mold. The distribution of demoulding force is often not uniform, and some areas may be affected. Excessive pressure causes the mold to deform. For example, the temperature in some areas is high, which causes the material to expand thermally, and it is easy to deform greatly when subjected to the demolding force. When simulating the demolding force, the system terminal calculates the stress distribution at each position, and identifies the most significant deformation areas by combining it with the mechanical properties of the material. For example, some thin-walled parts of the mold may produce large stresses due to concentrated demolding force or uneven cooling, resulting in local deformation. For mold geometry analysis, the mold geometry (such as thin walls, sharp angles, and structural complexity of the mold) will affect the distribution of temperature and pressure, which in turn causes deformation in different areas. For example, the thin-walled part of the mold may cause excessive expansion or contraction in some areas due to uneven cooling, resulting in deformation. The system terminal combines the geometric design of the mold to analyze the thermal stress distribution and cooling channel layout of the mold, identify weak links in the design, and find potential deformation areas.Especially corners, thin walls and uneven cooling channels are prone to uneven changes. After identifying the possible deformation areas, the system terminal generates deformation data through simulation calculation. These data include the deformed area, deformation amount and deformation type. Among them, the deformed area refers to the identified mold area that is greatly affected by force and temperature changes. The deformation amount refers to the calculated deformation size of each area of ​​the mold, including displacement, stress change, temperature change, etc. The deformation type is used to distinguish between elastic deformation and plastic deformation. For example, elastic deformation means that the material can return to its original state, while plastic deformation is irreversible. Afterwards, the system terminal performs traceability analysis based on these identified deformation data. Traceability analysis refers to tracing the root cause of deformation, including but not limited to uneven temperature distribution, unreasonable distribution of applied force, design defects in mold geometry, etc. For temperature changes, the system terminal analyzes the temperature distribution of each deformation area to determine whether the deformation is caused by temperature difference. For stress concentration, the distribution of pressure and stress is calculated to determine whether the deformation is caused by temperature difference. Whether the local stress concentration is caused by uneven distribution of demoulding force. For mold design defects, geometric analysis is used to determine whether the design of the thin-walled part or corner of the mold causes uneven thermal expansion or uneven cooling, which in turn causes deformation. The traceability process associates the deformation data with various factors that may cause deformation, thereby obtaining the deformation influence data source to ensure that the cause of deformation can be accurately located. For example, the temperature in a local area is too high, resulting in excessive thermal expansion in the area, or insufficient cooling of a part leads to uneven local shrinkage. Each deformation influence data source contains not only the specific location of the deformation, but also the type of deformation (thermal expansion, shrinkage, stress concentration, etc.) and their potential impact on the final demoulding effect of the mold. Through such traceability analysis, the system terminal can generate a series of deformation feedback data, which are helpful to adjust the mold design and process parameters, optimize the cooling channel, improve the mold geometry, or adjust the way the demoulding force is applied in actual production, thereby reducing the occurrence of deformation and improving the quality of molded parts.

[0035] Furthermore, the present application provides a method for optimizing the demoulding strategy according to the deformation feedback data to generate a demoulding optimization strategy, the method comprising: Perform feature analysis on the deformation feedback data to extract multiple deformation features, perform demoulding change analysis based on the multiple deformation features to generate a demoulding change trend; perform demoulding time optimization analysis on the demoulding strategy according to the demoulding change trend to generate a first optimization response result; perform demoulding speed optimization analysis on the demoulding strategy according to the demoulding change trend to generate a second optimization response result; perform demoulding force optimization analysis on the demoulding strategy according to the demoulding change trend to generate a third optimization response result; perform optimization verification on the demoulding strategy according to the first optimization response result, the first optimization response result, and the first optimization response result, and generate the demoulding optimization strategy according to the verification result.

[0036] Optionally, after obtaining the deformation feedback data, the system terminal performs feature analysis on these data to extract multiple key deformation features, including deformation area, deformation amount and deformation type. These features provide a basis for demolding change analysis and help determine the deformation trend. Subsequently, the system terminal uses the extracted multiple deformation features to perform demolding change analysis on these data in a time series manner. During the demolding process, factors such as temperature, pressure, and stress will continue to affect the deformation of the mold over time. The purpose of time series analysis is to find out the regularity of these changes, so as to identify the trend of mold changes over time during the demolding process. The system terminal uses the same trend analysis method as mentioned above, with time as the x-axis, and temperature, stress, and position as the x-axis. The temperature, stress and displacement are used as the y-axis for curve fitting to determine the changing trends of temperature, stress and displacement. Then, based on the results of time series analysis, a demoulding changing trend is generated to describe how each deformation feature changes with time during the demoulding process. After obtaining the demoulding changing trend, the system terminal performs demoulding time optimization analysis on the demoulding strategy. According to the demoulding changing trend, the changes of key factors such as temperature, stress and deformation over time are analyzed to identify the key moments that affect the demoulding time. In this process, the changes of mold temperature during the demoulding process are calculated and analyzed to ensure that the mold temperature is close to the target cooling temperature during demoulding to avoid deformation or sticking caused by too high or too low temperature. The analysis of stress distribution helps the system determine when the stress tends to be stable to avoid Excessive or uneven stress causes deformation of the mold or molded part, and the deformation change trend is used to determine the best demolding time to minimize mold deformation. Taking these factors into consideration, the system terminal determines an optimal demolding time point to avoid premature demolding resulting in excessive temperature or excessive stress, or too late demolding resulting in molded part sticking to the mold or mold deformation; based on these analyses, the first optimization response result, i.e., the optimal demolding time, is generated. This time point can ensure complete demolding of the molded part without deformation and improve production efficiency; after completing the demolding time optimization analysis, the system terminal optimizes the demolding speed according to the demolding change trend, with the aim of balancing the deformation, temperature change and demolding force of the mold and molded part by adjusting the demolding speed, and During the demoulding process, too fast speed may cause excessive force on the mold or deformation of the molded part, while too slow speed may lead to incomplete demoulding and increase production time. Based on the demoulding change trend, the system analyzes the temperature distribution, stress distribution and deformation of the mold at different demoulding speeds. By simulating the demoulding process, determine which speed adjustment can effectively avoid mold deformation and stress concentration, and ensure that the demoulding process is smooth and does not damage the molded part. Combined with the deformation, temperature change and stress change trend, determine the optimal demoulding speed that can minimize deformation and avoid excessive stress. By adjusting the demoulding speed, the system terminal can reduce the impact of uneven cooling or inappropriate demoulding force on the mold, ensuring that the temperature and stress remain uniform throughout the demoulding process.In this way, the system generates a second optimization response result based on the analysis results, that is, the optimal demoulding speed. This speed can minimize deformation, improve efficiency and ensure product quality, while avoiding damage to the mold and molded parts. Then, according to the demoulding change trend, the system terminal also optimizes and analyzes the demoulding force to ensure that the demoulding force can not only effectively complete the demoulding operation, but also avoid excessive pressure on the mold and molded parts, resulting in unnecessary deformation or damage. During the demoulding process, excessive demoulding force may increase the risk of mold deformation, while too small a demoulding force may cause the molded parts to fail to be completely demoulded, affecting product quality and production efficiency. Based on the demoulding change trend, the system terminal analyzes the changes in mold force, temperature and deformation under different demoulding forces. By simulating the demoulding process, the system terminal determines the influence of different demoulding forces on mold deformation, especially the changes in mold stress distribution and deformation. Then, according to the stress, temperature and deformation data, the demoulding force is dynamically adjusted to optimize its size and application method to ensure uniform force distribution and avoid mold The mold may be unevenly deformed or damaged due to excessive or insufficient demoulding force; by analyzing the deformation feedback data, the system terminal identifies the ideal demoulding force range, which can not only demould smoothly but also reduce damage to the mold and molded parts; these can generate the third optimization response result, that is, the optimal demoulding force, which can avoid mold deformation and molded parts damage while ensuring demoulding efficiency, and can be effectively applied in actual production; after completing the optimization analysis of demoulding time, demoulding speed, and demoulding force, the system terminal simulates the optimized demoulding strategy and detects the deformation amount, deformation area, and demoulding effect in the simulation results. If the optimized strategy performs well in the simulation, it means that the strategy is effective. At this time, the system terminal outputs this optimized strategy as the demoulding optimization strategy. This demoulding optimization strategy includes the optimal demoulding time, demoulding speed, demoulding force, and demoulding angle, which can avoid mold deformation in actual production, improve production efficiency, and ensure the quality of molded parts. ;

[0037] In summary, the embodiments of the present application have at least the following technical effects: The embodiment of the present application obtains the initial temperature of the mold through a multi-point temperature sensing system, and preheats, controls cooling and performs multi-dimensional demoulding analysis on the mold according to the temperature data, so as to formulate a suitable demoulding strategy; through the uniformity analysis of historical temperature data, the cooling control channel can be activated and the mold can be cooled in stages to achieve temperature balance; during the cooling process, the mold is subjected to multi-dimensional demoulding analysis based on the cooling state data, and parameters such as demoulding force, angle, speed, etc. are generated, and the demoulding strategy is dynamically adjusted in combination with the trend of ambient temperature changes; by simulating the execution of the demoulding strategy and performing deformation monitoring, deformation feedback data is generated, and the demoulding strategy is optimized according to the feedback data to achieve adaptive anti-deformation demoulding operation; in addition, a thermal-mechanical coupling model is constructed by the finite element analysis method to further analyze the deformation effect during the demoulding process, optimize the demoulding time, speed and force, and finally generate the optimal demoulding strategy to ensure the quality of the mold and the molded part. These technical effects jointly solve the technical problem of mold deformation caused by uneven temperature distribution during the demoulding process of plastic molds, and achieve the technical effect of avoiding mold deformation and improving product quality and production efficiency by accurately controlling temperature distribution, cooling process and demoulding parameters.

[0038] Embodiment 2 is based on the same inventive concept as the demoulding control method for preventing deformation of a plastic mold in the aforementioned embodiment. Figure 2 As shown, the present application provides a demoulding control system for preventing deformation of a plastic mold, and the system includes: a multi-point temperature sensing unit 1: configuring a data acquisition system to perform multi-point temperature sensing on the plastic mold to obtain the multi-point initial temperature of the plastic mold; a temperature control calculation unit 2: performing multi-point traversal of the plastic mold according to the multi-point initial temperature, determining multiple areas to be preheated, preheating the multiple areas to be preheated to perform temperature control calculation, and obtaining the temperature uniformity coefficient of the plastic mold; a staged cooling unit 3: activating a cooling control channel based on the temperature uniformity coefficient, cooling the plastic mold in stages through the cooling control channel, and obtaining mold cooling state data; a dynamic association unit 4: performing multi-dimensional demoulding analysis on the plastic mold according to the mold cooling state data, generating multiple demoulding parameters, and formulating a demoulding strategy based on the multiple demoulding parameters combined with the ambient temperature change trend for dynamic association; an anti-deformation demoulding operation unit 5: performing deformation monitoring on the plastic mold by simulating the execution of the demoulding strategy, generating deformation feedback data, optimizing the demoulding strategy according to the deformation feedback data, and generating a demoulding optimization strategy to perform adaptive anti-deformation demoulding operation on the plastic mold.

[0039] Furthermore, the staged cooling unit 3 is also used to perform the following method: Retrieve the historical temperature data record log of the plastic mold, perform uniformity analysis based on the historical temperature data record log, and set a temperature uniformity threshold; determine whether the temperature uniformity coefficient is greater than or equal to the temperature uniformity threshold; if the temperature uniformity coefficient is greater than or equal to the temperature uniformity threshold, perform multi-region traversal of the plastic mold according to the temperature uniformity coefficient, determine multiple high-temperature sub-regions, generate a first activation instruction, and activate the initial cooling module in the cooling control channel according to the first activation instruction; if the temperature uniformity coefficient is less than the temperature uniformity threshold, perform temperature difference analysis based on the temperature uniformity coefficient, construct temperature gradient data, generate a second activation instruction, and activate the transition cooling module in the cooling control channel according to the second activation instruction.

[0040] Furthermore, the staged cooling unit 3 is also used to perform the following method: According to the first activation instruction, the initial cooling module in the cooling control channel is activated, and the multiple high-temperature sub-areas are cooled by the initial cooling module to generate a first cooling result; according to the second activation instruction, the transition cooling module in the cooling control channel is activated, and the plastic mold is cooled uniformly by the transition cooling module according to the temperature gradient data to generate a second cooling result; cooling calculation is performed according to the first cooling result and the second cooling result to determine the cooling rate; according to the cooling rate, it is determined whether the multi-point real-time temperature of the plastic mold approaches the target cooling temperature, and if the multi-point real-time temperature approaches the target cooling temperature, the fine cooling module is activated, and the plastic mold is cooled and refined by the fine cooling module to obtain the mold cooling status data.

[0041] Furthermore, the dynamic association unit 4 is also used to perform the following method: Based on the mold cooling state data, the temperature field distribution of the plastic mold is analyzed to construct a heat conduction model; based on the mold cooling state, the shrinkage of the plastic mold is calculated to obtain the thermal expansion coefficient; according to the heat conduction model and the thermal expansion coefficient, a demoulding analysis is performed to obtain a demoulding force parameter; according to the demoulding force parameter, the demoulding displacement of the plastic mold is calculated to set a demoulding angle parameter; using the demoulding angle parameter as a constraint condition, a force analysis is performed on the demoulding force parameter to determine a demoulding speed parameter; the demoulding force parameter, the demoulding angle parameter, and the demoulding speed parameter are added to the multiple demoulding parameters.

[0042] Furthermore, the dynamic association unit 4 is also used to perform the following method: A time series analysis is used to perform a temperature change analysis on the ambient temperature data of the plastic mold to obtain the ambient temperature change trend; the mold temperature influence is determined based on the ambient temperature change trend to generate an influence determination result; when the ambient temperature change trend is an upward trend, the demoulding speed parameter is dynamically adjusted based on the influence determination result to generate a first dynamic adjustment result; when the ambient temperature change trend is a downward trend, the demoulding force parameter is dynamically adjusted based on the influence determination result to generate a second dynamic adjustment result; the first dynamic adjustment result and the second dynamic adjustment result are associated and integrated according to the demoulding angle parameter to formulate the demoulding strategy.

[0043] Furthermore, the anti-deformation demoulding operation unit 5 is also used to perform the following method: The plastic mold is simulated and analyzed by using the finite element analysis method to construct a thermal-mechanical coupling model; the demolding is simulated based on the thermal-mechanical coupling model combined with the demolding strategy to generate a simulated demolding result; the mold deformation of the plastic mold is identified according to the simulated demolding result to generate a plurality of deformation data; the plurality of deformation data are traced to the source to generate a plurality of deformation influencing data sources; the deformation analysis of the plastic mold is performed based on the plurality of deformation influencing data sources to generate the deformation feedback data.

[0044] Furthermore, the anti-deformation demoulding operation unit 5 is also used to perform the following method: Perform feature analysis on the deformation feedback data to extract multiple deformation features, perform demoulding change analysis based on the multiple deformation features to generate a demoulding change trend; perform demoulding time optimization analysis on the demoulding strategy according to the demoulding change trend to generate a first optimization response result; perform demoulding speed optimization analysis on the demoulding strategy according to the demoulding change trend to generate a second optimization response result; perform demoulding force optimization analysis on the demoulding strategy according to the demoulding change trend to generate a third optimization response result; perform optimization verification on the demoulding strategy according to the first optimization response result, the first optimization response result, and the first optimization response result, and generate the demoulding optimization strategy according to the verification result.

[0045] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description and does not represent the advantages and disadvantages of the embodiments. And the above-mentioned specific embodiments of this specification are described. The processes depicted in the accompanying drawings do not necessarily require the specific order and continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0046] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

[0047] This specification and drawings are merely exemplary illustrations of the present application and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.

Claims

1. A plastic mold anti-deformation demoulding control method, characterized in that: The method comprises: Configure the data acquisition system to perform multi-point temperature sensing on the plastic mold to obtain the multi-point initial temperature of the plastic mold; Performing multi-point traversal on the plastic mold according to the multi-point initial temperatures, determining a plurality of areas to be preheated, preheating the plurality of areas to be preheated to perform temperature control calculation, and obtaining a temperature uniformity coefficient of the plastic mold; activating a cooling control channel based on the temperature uniformity coefficient, cooling the plastic mold in stages through the cooling control channel, and obtaining mold cooling state data; Perform multi-dimensional demoulding analysis on the plastic mold according to the mold cooling state data, generate multiple demoulding parameters, and formulate a demoulding strategy based on the dynamic association of the multiple demoulding parameters with the ambient temperature change trend; The demoulding strategy is simulated and executed on the plastic mold to monitor deformation, generate deformation feedback data, optimize the demoulding strategy according to the deformation feedback data, and generate a demoulding optimization strategy to perform adaptive anti-deformation demoulding operation on the plastic mold.

2. The method for controlling the plastic mold to prevent deformation by demoulding according to claim 1, characterized in that: Activating a cooling control channel based on the temperature uniformity coefficient, the method comprising: Retrieving a historical temperature data record log of a plastic mold, performing uniformity analysis based on the historical temperature data record log, and setting a temperature uniformity threshold; Determining whether the temperature uniformity coefficient is greater than or equal to the temperature uniformity threshold; If the temperature uniformity coefficient is greater than or equal to the temperature uniformity threshold, multi-region traversal is performed on the plastic mold according to the temperature uniformity coefficient, a plurality of high-temperature sub-regions are determined, a first activation instruction is generated, and an initial cooling module in the cooling control channel is activated according to the first activation instruction; If the temperature uniformity coefficient is less than the temperature uniformity threshold, a temperature difference analysis is performed according to the temperature uniformity coefficient, temperature gradient data is constructed, a second activation instruction is generated, and a transition cooling module in the cooling control channel is activated according to the second activation instruction.

3. The method for controlling the plastic mold to prevent deformation by demoulding according to claim 2, characterized in that: The plastic mold is cooled in stages through the cooling control channel to obtain mold cooling state data, and the method includes: activating an initial cooling module in the cooling control channel according to the first activation instruction, cooling the plurality of high-temperature sub-regions through the initial cooling module, and generating a first cooling result; activating a transition cooling module in the cooling control channel according to the second activation instruction, and performing a cooling uniformity analysis on the plastic mold according to the temperature gradient data through the transition cooling module to generate a second cooling result; Perform cooling calculation according to the first cooling result and the second cooling result to determine a cooling rate; According to the cooling rate, it is determined whether the multi-point real-time temperature of the plastic mold approaches the target cooling temperature. If the multi-point real-time temperature approaches the target cooling temperature, the fine cooling module is activated, and the plastic mold is cooled and refined by the fine cooling module to obtain the mold cooling status data.

4. The method for controlling the plastic mold to prevent deformation by demoulding according to claim 1, characterized in that: Performing a multi-dimensional demoulding analysis on the plastic mold according to the mold cooling state data to generate multiple demoulding parameters, the method includes: Based on the mold cooling state data, a temperature field distribution analysis is performed on the plastic mold to construct a heat conduction model; Calculating the shrinkage of the plastic mold based on the mold cooling state to obtain a thermal expansion coefficient; Perform demoulding analysis according to the heat conduction model and the thermal expansion coefficient to obtain demoulding force parameters; Calculating the demoulding displacement of the plastic mold according to the demoulding force parameter and setting the demoulding angle parameter; Using the demoulding angle parameter as a constraint condition to perform force analysis on the demoulding force parameter, and determine the demoulding speed parameter; The demolding force parameter, the demolding angle parameter, and the demolding speed parameter are added to the plurality of demolding parameters.

5. The method for controlling the plastic mold to prevent deformation by demoulding according to claim 4, characterized in that: Based on the dynamic association of the multiple demoulding parameters and the trend of the ambient temperature change, a demoulding strategy is formulated, the method comprising: Use time series analysis to analyze the temperature variation of the ambient temperature data of the plastic mold and obtain the trend of ambient temperature variation; Performing a mold temperature influence determination according to the ambient temperature change trend to generate an influence determination result, and when the ambient temperature change trend is an upward trend, dynamically adjusting the demoulding speed parameter according to the influence determination result to generate a first dynamic adjustment result; When the change trend of the ambient temperature is a downward trend, the demoulding force parameter is dynamically adjusted according to the impact determination result to generate a second dynamic adjustment result; The first dynamic adjustment result and the second dynamic adjustment result are associated and integrated according to the demoulding angle parameter to formulate the demoulding strategy.

6. The method for controlling the plastic mold to prevent deformation by demoulding according to claim 1, characterized in that: The method includes: Finite element analysis is used to simulate and analyze plastic molds and build a thermal-mechanical coupling model; Performing demoulding simulation based on the thermal-mechanical coupling model and the demoulding strategy to generate a demoulding simulation result; Performing mold deformation identification on the plastic mold according to the simulated demoulding result to generate a plurality of deformation data, and tracing the source according to the plurality of deformation data to generate a plurality of deformation influence data sources; The deformation analysis of the plastic mold is performed based on the multiple deformation influencing data sources to generate the deformation feedback data.

7. The method for controlling the plastic mold to prevent deformation by demoulding according to claim 1, characterized in that: The demoulding strategy is optimized and responded to according to the deformation feedback data to generate a demoulding optimization strategy, the method comprising: Performing feature analysis according to the deformation feedback data, extracting multiple deformation features, performing demoulding change analysis based on the multiple deformation features, and generating a demoulding change trend; Performing demoulding time optimization analysis on the demoulding strategy according to the demoulding change trend to generate a first optimization response result; Performing demoulding speed optimization analysis on the demoulding strategy according to the demoulding change trend to generate a second optimization response result; Performing a demoulding force optimization analysis on the demoulding strategy according to the demoulding change trend to generate a third optimization response result; The demoulding strategy is optimized and verified according to the first optimization response result, the first optimization response result, and the first optimization response result, and the demoulding optimization strategy is generated according to the verification result.

8. A plastic mold anti-deformation demoulding control system, characterized in that: The steps for implementing the demoulding control method for preventing deformation of a plastic mold according to any one of claims 1 to 7 include: Multi-point temperature sensing unit: configure the data acquisition system to perform multi-point temperature sensing on the plastic mold to obtain the multi-point initial temperature of the plastic mold; Temperature control calculation unit: performing multi-point traversal on the plastic mold according to the multi-point initial temperatures, determining a plurality of areas to be preheated, preheating the plurality of areas to be preheated to perform temperature control calculation, and obtaining a temperature uniformity coefficient of the plastic mold; A staged cooling unit: activating a cooling control channel based on the temperature uniformity coefficient, cooling the plastic mold in stages through the cooling control channel, and obtaining mold cooling state data; Dynamic association unit: performing multi-dimensional demoulding analysis on the plastic mold according to the mold cooling state data, generating multiple demoulding parameters, and formulating a demoulding strategy based on the multiple demoulding parameters and the trend of ambient temperature changes; Anti-deformation demoulding operation unit: simulates and executes the demoulding strategy on the plastic mold to monitor deformation, generates deformation feedback data, optimizes and responds to the demoulding strategy according to the deformation feedback data, and generates a demoulding optimization strategy to perform adaptive anti-deformation demoulding operation on the plastic mold.

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