Method for process control of an engineering plastic based on extrusion molding

Abstract

The application discloses an engineering plastic process control method based on extrusion molding, and relates to the technical field of plastic molding. The method comprises the following steps: raw material pretreatment is performed, and balanced raw material components are established; extrusion requirements are set, temperature control optimization is performed, and heating control parameters of a staged heating zone are established; a basic cooling rate constraint is established based on the balanced raw material components; geometric feature extraction of a prepared finished product is performed, a finished product feature set is established, a cooling channel is configured, the basic cooling rate constraint is taken as an optimization target, digital simulation is performed, cooling response fitting optimization is performed, and cooling control and automatic cutting are performed through fitting optimization results, so that the process control of the engineering plastic is completed. The application solves the technical problem that, due to the diversity and complexity of the influence factors of the extrusion molding process, the process parameter control precision is low in the prior art, and achieves the technical effect that the production quality of the engineering plastic is improved by optimizing the temperature control and cooling control precision.

Description

Technical Field

[0001] This invention relates to the field of plastic molding technology, and more specifically to a method for controlling the process of engineering plastics based on extrusion molding. Background Technology

[0002] With the widespread application of engineering plastics in various fields, the performance requirements for them are becoming increasingly stringent. Engineering plastics need to possess excellent mechanical properties, heat resistance, corrosion resistance, and other characteristics to meet the needs of different fields. This requires the extrusion molding process to precisely control the mixing, melting, and extrusion of raw materials to ensure that the performance of engineering plastics reaches its optimal state and to guarantee the quality and performance stability of engineering plastic products. However, due to the diversity and complexity of factors affecting the extrusion molding process, the control precision of process parameters is low, affecting the quality of the finished plastic products. Summary of the Invention

[0003] This application provides a process control method for engineering plastics based on extrusion molding, which solves the technical problem of low accuracy in process parameter control caused by the diversity and complexity of influencing factors in the extrusion molding process in the prior art.

[0004] The first aspect of this application provides a process control method for engineering plastics based on extrusion molding. The method includes: preparing raw materials for the engineering plastics, the raw materials including virgin materials, recycled materials, and additives; pre-treating the raw materials and establishing a balanced raw material composition; setting extrusion requirements according to a calibrated manufacturing process; optimizing temperature control based on the balanced raw material composition and extrusion requirements; establishing heating control parameters for a graded heating zone; loading the raw materials into a hopper; and executing heating control through the heating control parameters; establishing a basic cooling rate constraint based on the balanced raw material composition; extracting the geometric features of the finished product; establishing a finished product feature set; configuring cooling channels based on the finished product feature set; performing digital simulation of the cooling channels and the finished product feature set using the basic cooling rate constraint as the optimization target; performing cooling response fitting optimization; establishing the fitting optimization result; conveying the plastic melt to the die head via a screw; performing die forming; controlling cooling based on the fitting optimization result; and automatically cutting the cooled engineering plastic, thus completing the process control of the engineering plastics.

[0005] A second aspect of this application provides an engineering plastics process control system based on extrusion molding. The system includes: a raw material processing module for preparing raw materials for engineering plastics, the raw materials including virgin materials, recycled materials, and additives; pre-treating the raw materials and establishing a balanced raw material composition; a heating control module for setting extrusion requirements according to a calibrated manufacturing process, optimizing temperature control to balance the raw material composition and extrusion requirements, establishing heating control parameters for a graded heating zone, loading the raw materials into a hopper, and executing heating control through the heating control parameters; and a cooling rate constraint establishment module, wherein the cooling rate is approximately... The bundle establishment module is used to establish a basic cooling rate constraint based on the balanced raw material composition; the cooling response fitting optimization module is used to extract the geometric features of the prepared product, establish a product feature set, configure cooling channels based on the product feature set, and perform digital simulation of the cooling channels and product feature set with the basic cooling rate constraint as the optimization target, perform cooling response fitting optimization, and establish fitting optimization results; the automated cutting module is used to transport the plastic melt to the die head through the screw, perform mold forming, and perform cooling control through the fitting optimization results, and automatically cut the cooled engineering plastic to complete the process control of the engineering plastic.

[0006] One or more technical solutions provided in this application have at least the following technical effects or advantages: This application provides a process control method for engineering plastics based on extrusion molding, relating to the field of plastic molding technology. It involves pre-treating raw materials and establishing a balanced raw material composition, optimizing temperature control according to extrusion requirements, establishing heating control parameters for graded heating zones, configuring cooling channels based on finished product characteristic sets, and performing digital simulation with a basic cooling rate constraint as the optimization objective. Cooling response fitting optimization is then performed, and cooling control and automated cutting are implemented based on the fitting optimization results. This method completes the process control of engineering plastics, solving the technical problem of low process parameter control accuracy caused by the diversity and complexity of influencing factors in extrusion molding processes in existing technologies. It achieves the technical effect of improving the production quality of engineering plastics by optimizing temperature and cooling control accuracy. Attached Figure Description

[0007] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0008] Figure 1A schematic diagram of the process control method for engineering plastics based on extrusion molding provided in the embodiments of this application; Figure 2 A schematic diagram of the process for configuring cooling channels in the engineering plastics process control method based on extrusion molding provided in the embodiments of this application; Figure 3 A schematic diagram of the process for performing cooling response fitting optimization in the engineering plastics process control method based on extrusion molding provided in the embodiments of this application; Figure 4 This is a schematic diagram of the engineering plastic process control system based on extrusion molding, provided in an embodiment of this application.

[0009] Figure labeling: 11 raw material processing module, 12 heating control module, 13 cooling rate constraint establishment module, 14 cooling response fitting optimization module, 15 automated cutting module. Detailed Implementation

[0010] This application provides a process control method for engineering plastics based on extrusion molding, which solves the technical problem of low accuracy in process parameter control caused by the diversity and complexity of influencing factors in the extrusion molding process in the prior art.

[0011] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0012] It should be noted that the terms "first," "second," etc., used in the specification and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; 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 not explicitly listed or inherent to such processes, methods, products, or devices.

[0013] Example 1 like Figure 1 As shown, this application provides a method for controlling the process of engineering plastics based on extrusion molding, the method comprising: P10: Prepare the raw materials for engineering plastics, including virgin materials, recycled materials and additives, pre-treat the raw materials, and establish a balanced raw material composition; It should be understood that the selection of raw materials for engineering plastics includes preparing virgin materials, recycled materials, and additives. Virgin materials typically provide basic performance and stability, the use of recycled materials helps reduce costs and environmental burden, and additives can further adjust and optimize certain properties of the plastic, such as strength, hardness, and color. Furthermore, the raw materials undergo pretreatment, including drying, screening, heating, cooling, and stretching, to remove moisture, adjust their melting point and viscosity, and enhance the strength and toughness of the plastic. This allows the raw materials to better meet the operating requirements of the extruder.

[0014] Furthermore, it is necessary to understand the basic characteristics of various raw materials and set the raw material ratio in combination with the product's performance requirements and usage environment. The proportions of virgin materials, recycled materials, and additives should be accurately calculated and adjusted to establish a balanced raw material composition, so as to ensure that the proportions of virgin materials, recycled materials, and additives are appropriate and meet the performance requirements of engineering plastics.

[0015] P20: Set the extrusion requirements according to the calibration preparation process, optimize temperature control to balance the raw material composition and extrusion requirements, establish heating control parameters for the graded heating zone, load the preparation raw material into the hopper, and execute heating control through the heating control parameters; Furthermore, step P20 in this embodiment of the application also includes: P21: Configure a heating zone according to the extrusion requirements, wherein the heating zone is a heating zone established by the initial room temperature and the required temperature of the extrusion requirements; P22: Divide the heating zone into an initial heating zone, a compensation zone, and a steady-state zone; P23: Optimize the heating control of the raw material composition by using the initial heating range, compensation range, and steady-state range respectively, and generate heating control parameters for the three-layer graded heating zone based on the optimization results.

[0016] Optionally, extrusion requirements are set according to the calibration preparation process. These requirements include parameters such as the required extrusion speed, extrusion volume, product shape, and size. Based on the balanced raw material composition and extrusion requirements, temperature control is optimized to establish heating control parameters for the graded heating zones. Heating control is then executed according to these parameters to ensure uniform melting of the plastic.

[0017] Specifically, based on the extrusion requirements, the temperature range that the engineering plastic needs to reach during the extrusion process is determined, i.e., the required temperature. By comparing the initial room temperature with the required temperature, the temperature difference between the two is determined, thereby configuring a suitable heating zone. The heating zone needs to ensure that the plastic can be fully melted and to avoid energy waste or excessive heating time as much as possible.

[0018] Furthermore, the heating range is further subdivided into an initial heating range, a compensation range, and a steady-state range. The initial heating range refers to the temperature range within which the raw material is rapidly heated from its initial room temperature to near-molten state. The compensation range is used to compensate for temperature fluctuations caused by factors such as differences in raw material composition and heat loss from equipment when the raw material is nearing a molten state. The steady-state range refers to the temperature range that needs to be maintained when the raw material reaches a stable molten state.

[0019] Furthermore, for the initial heating range, compensation range, and steady-state range, heating control optimization is performed based on the characteristics of the balanced raw material composition, such as melting point and heat of fusion. Through experimental or simulation methods, the heating control strategy for each range is optimized to find the optimal heating control parameters that maximize the uniformity of raw material melting, extrusion stability, and product quality. For example, for the initial heating range, a higher heating rate may be required to quickly reach the molten state. For the compensation range, more precise temperature control may be needed to compensate for temperature fluctuations caused by various factors. For the steady-state range, maintaining temperature stability is crucial to prevent degradation or performance changes in the plastic during extrusion.

[0020] Furthermore, the optimal heating control parameters for the initial heating zone, compensation zone, and steady-state zone are integrated to form heating control parameters for a three-layered heating zone. Further, the pretreated raw material is loaded into the extruder hopper, and the extruder is heated according to the aforementioned heating control parameters to ensure that the raw material reaches the expected molten state during extrusion.

[0021] Furthermore, step P20 in this embodiment of the application also includes: P24: Real-time temperature acquisition is performed on the graded heating zone corresponding to the initial heating zone, and a real-time feedback temperature set is established; P25: Feed back the real-time feedback temperature set to the graded heating zone corresponding to the compensation interval to perform dynamic compensation of the heating control parameters.

[0022] Specifically, temperature sensors installed within the heating zone collect real-time temperatures of the graded heating zones corresponding to the initial heating zone. Based on the collected temperature data, a real-time feedback temperature set is established, containing temperature data of the heating zones at different time points. Further, this real-time feedback temperature set is fed back to the graded heating zones corresponding to the compensation zone, and compared with a preset temperature target. The temperature deviation between the current heating state and the target state is determined, and based on this deviation, the heating control parameters of the compensation zone are dynamically adjusted to promptly correct deviations during the heating process, ensuring that the raw material melts uniformly during extrusion and meets the preset process requirements.

[0023] P30: Establish basic cooling rate constraints based on the aforementioned balanced raw material composition; It should be understood that establishing basic cooling rate constraints based on balanced raw material composition ensures that the plastic does not develop defects due to excessively fast or slow cooling. For example, this involves a thorough understanding of the raw material's composition and physical properties, including key parameters such as thermal conductivity, heat capacity, and melting point. Based on the balanced composition of the raw material, potential problems such as uneven heat conduction and large temperature gradients during cooling are analyzed. Furthermore, based on the raw material's physical properties and potential problems during cooling, basic cooling rate constraints are formulated. These constraints include maximum cooling rate, minimum cooling rate, and the range of cooling rate variation. This ensures that the raw material receives appropriate cooling during extrusion, thereby improving product quality and stability.

[0024] P40: Perform geometric feature extraction of the finished product, establish a feature set of the finished product, configure the cooling channel based on the feature set of the finished product, and use the basic cooling rate constraint as the optimization target to perform digital simulation of the cooling channel and the feature set of the finished product, perform cooling response fitting optimization, and establish fitting optimization results; Specifically, by using measurement tools, geometric features of the finished product, such as size, shape, and curvature, are extracted to establish a feature set. Based on the information in the feature set, such as size and shape, the location, number, and shape of the cooling channels are initially configured to ensure that the cooling effect can cover the entire finished product. Using the basic cooling rate constraint as the optimization target, digital simulation technology is used to simulate the cooling channels and the feature set. Based on the simulation results, the configuration of the cooling channels is fitted and optimized to find the optimal cooling channel configuration scheme.

[0025] Furthermore, such as Figure 2 As shown, step P40 in this embodiment further includes: P41: Based on the structural complexity features in the finished product feature set, perform structural segmentation of the prepared product and establish... There are structural regions, among which... It is an integer greater than 1; P42: Using the thickness feature in the finished product feature set as the clustering matching feature, execute... The thickness of each structural region is matched to obtain the matching results, and adjacent matching results are merged to construct a new structure. There are structural regions, among which... ; P43: Combine the finished product feature set and Each structural region is input to the cooling configuration network, and then processed through a mapping sub-network. Each structural region is mapped to a feature set of the corresponding finished product, and the mapping result is sent to the configuration sub-network to output the configuration scheme of the cooling channel, thus completing the configuration of the cooling channel.

[0026] Optionally, based on the structural complexity characteristics of the finished product feature set, such as differences in size and shape between different regions, the prepared finished product is structurally segmented and divided into... The structure is divided into several regions, facilitating the subsequent configuration of independent cooling channels for each region. Among them, It is an integer greater than 1. Furthermore, the thickness feature in the finished product feature set is used as a clustering matching feature for the... Each structural region undergoes thickness matching, and based on the matching results, regions with similar thicknesses and adjacent positions are merged to construct... The structure is divided into several regions to reduce the complexity of cooling channel configuration while ensuring uniform cooling effect. .

[0027] Furthermore, the finished product feature set and Each structural region is input into a cooling configuration network, which is a machine learning model integrating a mapping subnetwork and a configuration subnetwork. This model learns from a large number of data samples to understand the mapping relationship between the finished product feature set, structural regions, and cooling channel configurations. The spherical mapping subnetwork maps the finished product feature set to each region within the structural region, identifying the features in the finished product feature set most relevant to the cooling requirements of a specific structural region. The configuration subnetwork, based on the output of the mapping subnetwork and considering process requirements and basic cooling rate constraints, generates a cooling channel configuration scheme. This is achieved through the mapping subnetwork. Each structural region is mapped to a feature set of the corresponding finished product, and the mapping result is sent to the configuration sub-network to output the configuration scheme of the cooling channel, thus completing the configuration of the cooling channel.

[0028] Furthermore, step P42 in this embodiment of the application also includes: P42-1: Obtain important hierarchical indicators for the location of the finished product; P42-2: Perform hierarchical difference analysis on adjacent positions using the aforementioned position importance hierarchical identifier, and generate the first adjacent matching constraint based on the analysis results; P42-3: The importance of the location is evaluated by matching the level, and a second adjacent matching constraint is generated based on the evaluation result; P42-4: Merge the matching results of adjacent positions based on the first adjacent matching constraint and the second adjacent matching constraint.

[0029] In one possible embodiment of this application, the importance of different locations in the finished product is determined based on the product's design requirements, functional uses, and cooling requirements during the manufacturing process, and each location is assigned an importance classification label. Furthermore, the importance classification labels of adjacent locations are compared, and a classification difference analysis is performed to assess the similarity or difference in cooling requirements between adjacent locations. Based on the analysis results, a first adjacent matching constraint is generated.

[0030] Furthermore, the location importance classification identifier is used to evaluate the degree of matching between adjacent locations, that is, to quantitatively compare the importance of adjacent locations to determine whether adjacent locations are sufficiently similar or compatible when merging, and to generate a second adjacent matching constraint based on the matching evaluation result.

[0031] Furthermore, by comprehensively applying the first and second adjacent matching constraints, the matching results of adjacent positions are merged. By merging the matching results of adjacent positions, a more optimized and process-compliant structural region division is obtained, providing a basis for the subsequent configuration of cooling channels.

[0032] Furthermore, such as Figure 3 As shown, step P40 in this embodiment further includes: P44: The importance of the location and thickness characteristics are calculated using normalized weights. Based on the normalized weight calculation results, a comprehensive evaluation of the cooling location of the finished product is conducted, and a comprehensive evaluation result is established. P45: Configure the benchmark area based on the comprehensive evaluation results; P46: Optimize and control the basic cooling rate constraint through the reference region to establish a standard cooling rate; P47: Fitting and optimizing the cooling response under digital simulation using the standard cooling rate.

[0033] It should be understood that, by combining the two key factors of location importance classification and thickness characteristics, their relative importance in the comprehensive evaluation is determined through normalized weight calculation. This normalized weight calculation ensures the comparability of different characteristics during the evaluation process and eliminates the influence of dimensional differences. Based on the normalized weight calculation results, the cooling location of the prepared product is comprehensively evaluated, taking into account both the importance of the location and the impact of thickness characteristics on the cooling effect, thus establishing a comprehensive evaluation result.

[0034] Furthermore, a benchmark region is configured based on the comprehensive evaluation results. This benchmark region refers to the area requiring special attention or key control during the cooling process, i.e., the more important location in the comprehensive evaluation results. Information from the benchmark region is used to optimize the basic cooling rate constraint. An optimization algorithm is employed to adjust the cooling rate in different regions to find the optimal cooling rate configuration that achieves the best cooling effect while satisfying the basic cooling rate constraint. A standard cooling rate is then established as a reference standard for subsequent cooling processes.

[0035] Furthermore, the cooling response is fitted and optimized using the standard cooling rate in digital simulation. For example, by using digital simulation technology, key parameters such as temperature distribution and stress change of the finished product during the cooling process are simulated. Based on the simulation results, the cooling response is fitted and optimized to further optimize the configuration of the cooling channel and the control strategy of the cooling rate to achieve precise control of the cooling process of the finished product.

[0036] P50: The screw conveys the molten plastic to the die head, performs mold forming, controls cooling by fitting the optimization results, and automatically cuts the cooled engineering plastic, thus completing the process control of engineering plastics.

[0037] Specifically, the molten plastic is conveyed to the die head via a screw and injected into the mold for molding. Further, by fitting the optimized cooling configuration and rate from the results, cooling control is implemented to ensure uniform and rapid cooling of the product, avoiding deformation and cracking caused by uneven cooling, thereby improving product quality and performance. After cooling, the cooled engineering plastic is removed from the mold and precisely cut using automated cutting equipment, completing the process control of the engineering plastic.

[0038] Furthermore, the embodiments of this application also include step P60, which further includes: P61: Perform continuous sampling of finished products, conduct quality inspection of the continuous sampling results, and generate quality inspection results. The quality inspection includes dimensional inspection, appearance inspection, and mechanical performance inspection. P62: Based on the quality inspection results, perform a steady-state evaluation of the process, establish an early warning feedback based on the steady-state evaluation results, and perform process control management based on the early warning feedback.

[0039] Optionally, continuous sampling can be performed on the finished engineering plastic products. For example, a certain number of finished products can be randomly or systematically selected from the production line as samples, and the sampling results can be subjected to quality inspection, including dimensional inspection, appearance inspection, and mechanical property inspection, to generate quality inspection results. Further, a process steady-state evaluation can be performed based on the quality inspection results. For example, a comprehensive analysis of the various inspection results can be conducted to determine whether the production process is in a stable state. If the quality inspection results are stable and meet preset standards, the process can be considered to be in a steady state; otherwise, there may be some problems or hidden dangers.

[0040] Furthermore, an early warning feedback system is established based on the results of the process steady-state evaluation, and process control management is carried out based on the early warning feedback, including measures such as adjusting production parameters, optimizing process flow, and strengthening quality monitoring, to ensure the stability of the production process and the reliability of product quality.

[0041] Furthermore, step P62 in this embodiment of the application also includes: P62-1: If the steady-state evaluation results of the process meet the preset steady-state threshold, then change continuous sampling to random sampling, wherein the sampling ratio is adaptively set according to the control accuracy of the finished product. P62-2: Establish an adaptive adjustment model for the sampling ratio, synchronize the quality inspection results and sampling ratio of the sampling inspection to the adaptive adjustment model, and generate an updated sampling ratio; P62-3: Continuous sampling management shall be carried out in accordance with the updated sampling ratio.

[0042] Specifically, the judgment and processing of process steady-state evaluation results. If the process steady-state evaluation results show that the production process is in a stable state and meets the preset steady-state threshold, then the reliability of the current production process is considered to be high. In order to improve production efficiency and reduce sampling costs, the continuous sampling method can be changed to random sampling, and the sampling ratio can be adaptively set according to the control accuracy of the finished product.

[0043] Furthermore, an adaptive adjustment model for the sampling ratio is established through training with acquired sample data. This model dynamically adjusts the sampling ratio based on the quality inspection results and the current sampling ratio. By synchronizing the quality inspection results and sampling ratio to the adaptive adjustment model, an updated sampling ratio is obtained. Continuous sampling management is then implemented based on this updated ratio, meaning the sampling ratio is updated after each sampling inspection to adapt to continuous changes in production processes and product quality. This enables dynamic monitoring and optimized management of the production process, ensuring product quality stability and improved production efficiency.

[0044] In summary, the embodiments of this application have at least the following technical effects: This application achieves process control of engineering plastics by pretreating raw materials and establishing a balanced raw material composition, optimizing temperature control according to extrusion requirements, establishing heating control parameters for graded heating zones, configuring cooling channels based on finished product feature sets, performing digital simulation with basic cooling rate constraints as the optimization target, performing cooling response fitting optimization, and using the fitting optimization results for cooling control and automated cutting.

[0045] This achieves the technical effect of improving the production quality of engineering plastics by optimizing the precision of temperature control and cooling control.

[0046] Example 2 Based on the same inventive concept as the extrusion molding-based engineering plastics process control method in the foregoing embodiments, such as Figure 4 As shown, this application provides an engineering plastics process control system based on extrusion molding. The system and method embodiments in this application are based on the same inventive concept. The system includes: The raw material processing module 11 is used to prepare the raw materials for engineering plastics, including virgin materials, recycled materials and additives, and to pre-treat the raw materials and establish a balanced raw material composition. Heating control module 12 is used to set extrusion requirements according to the calibration preparation process, optimize temperature control to balance raw material composition and extrusion requirements, establish heating control parameters for graded heating zones, load the preparation raw materials into the hopper, and execute heating control through the heating control parameters. Cooling rate constraint establishment module 13 is used to establish a basic cooling rate constraint based on the balanced raw material composition. Cooling response fitting and optimization module 14 is used to extract the geometric features of the prepared product, establish a product feature set, configure the cooling channel based on the product feature set, and use the basic cooling rate constraint as the optimization target to perform digital simulation of the cooling channel and the product feature set, perform cooling response fitting and optimization, and establish fitting and optimization results. The automated cutting module 15 is used to transport the plastic melt to the die head through the screw, perform mold forming, perform cooling control by fitting the optimization result, and automatically cut the cooled engineering plastic to complete the process control of engineering plastic.

[0047] Furthermore, the heating control module 12 is also used to perform the following steps: The heating zone is configured according to the extrusion requirements, wherein the heating zone is a heating zone established by the initial room temperature and the required temperature of the extrusion requirements; The heating range is divided into an initial heating range, a compensation range, and a steady-state range. The heating control optimization of the raw material composition is carried out in the initial heating range, the compensation range and the steady state range respectively. The heating control parameters of the three-level heating zone are generated based on the optimization results.

[0048] Furthermore, the heating control module 12 is also used to perform the following steps: Real-time temperature acquisition is performed on the graded heating zones corresponding to the initial heating zone, and a real-time feedback temperature set is established. The real-time feedback temperature set is fed back to the graded heating zone corresponding to the compensation interval to perform dynamic compensation of the heating control parameters.

[0049] Furthermore, the cooling response fitting optimization module 14 is also used to perform the following steps: Based on the structural complexity features of the finished product feature set, the structure of the finished product is segmented to establish... There are structural regions, among which... It is an integer greater than 1; Using the thickness feature of the finished product feature set as the clustering matching feature, the following steps are performed: The thickness of each structural region is matched to obtain the matching results, and adjacent matching results are merged to construct a new structure. There are structural regions, among which... ; The finished product feature set and Each structural region is input to the cooling configuration network, and then processed through a mapping sub-network. Each structural region is mapped to a feature set of the corresponding finished product, and the mapping result is sent to the configuration sub-network to output the configuration scheme of the cooling channel, thus completing the configuration of the cooling channel.

[0050] Furthermore, the cooling response fitting optimization module 14 is also used to perform the following steps: Obtain important hierarchical markers for the location of the finished product; The hierarchical difference analysis of adjacent positions is performed using the location importance hierarchical identifier, and the first adjacent matching constraint is generated based on the analysis results; The importance of the location is used to perform a matching evaluation of the level, and a second adjacent matching constraint is generated based on the matching evaluation result; The matching results of adjacent positions are merged based on the first adjacent matching constraint and the second adjacent matching constraint.

[0051] Furthermore, the cooling response fitting optimization module 14 is also used to perform the following steps: The importance of location and thickness characteristics are calculated using normalized weights. Based on the normalized weight calculation results, the cooling location of the finished product is comprehensively evaluated, and a comprehensive evaluation result is established. Configure benchmark areas based on comprehensive evaluation results; The standard cooling rate is established by optimizing the basic cooling rate constraint through the reference region. The cooling response is fitted and optimized under digital simulation using the standard cooling rate.

[0052] Furthermore, the system also includes: The sampling and quality inspection module is used to continuously sample the finished products, perform continuous sampling result quality inspection, and generate quality inspection results. The quality inspection includes dimensional inspection, appearance inspection, and mechanical performance inspection. The process control management module is used to perform process steady-state evaluation based on the quality inspection results, establish early warning feedback based on the process steady-state evaluation results, and perform process control management based on the early warning feedback.

[0053] Furthermore, the system also includes: The sampling change module is used to change continuous sampling to random sampling if the steady-state evaluation result of the process meets the preset steady-state threshold. The sampling ratio is adaptively set according to the control accuracy of the finished product. The updated sampling ratio generation module is used to establish an adaptive adjustment model for the ratio, synchronize the quality detection results and sampling ratio of the sampling inspection to the adaptive adjustment model, and generate an updated sampling ratio. A sampling management module is used to perform continuous sampling management based on the updated sampling ratio.

[0054] It should be noted that the order of the embodiments described above is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. Furthermore, the above description focuses on specific embodiments of this specification. Additionally, the processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired results. In some implementations, multitasking and parallel processing are possible or may be advantageous.

[0055] The above description is only a preferred embodiment of this application and is not intended to limit this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

[0056] This specification and accompanying drawings are merely illustrative examples of this application and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of this application. Clearly, those skilled in the art can make various alterations and modifications to this application without departing from its scope. Therefore, if such modifications and modifications fall within the scope of this application and its equivalents, this application intends to include such modifications and variations.

Claims

1. A process control method for engineering plastics based on extrusion molding, characterized in that, The method includes: Prepare the raw materials for engineering plastics, including virgin materials, recycled materials and additives, pretreat the raw materials, and establish a balanced raw material composition. Based on the calibration preparation process, the extrusion requirements are set, and the temperature control is optimized to balance the raw material composition and extrusion requirements. The heating control parameters of the graded heating zone are established, and the preparation raw material is loaded into the hopper. The heating control is then executed through the heating control parameters. A basic cooling rate constraint is established based on the aforementioned balanced raw material composition. Geometric feature extraction of the finished product is performed to establish a feature set of the finished product. Cooling channels are configured based on the feature set of the finished product. The basic cooling rate constraint is used as the optimization target. The cooling channels and the feature set of the finished product are digitally simulated. Cooling response fitting optimization is performed, and fitting optimization results are established. The plastic melt is conveyed to the die head by the screw, and the mold forming is performed. The cooling is controlled by fitting the optimization results, and the cooled engineering plastic is automatically cut, thus completing the process control of engineering plastics. The process of extracting geometric features of the finished product, establishing a feature set of the finished product, and configuring cooling channels based on the feature set of the finished product includes: Based on the structural complexity features of the finished product feature set, the structure of the finished product is segmented to establish... There are structural regions, among which... It is an integer greater than 1; Using the thickness feature of the finished product feature set as the clustering matching feature, the following steps are performed: The thickness of each structural region is matched to obtain the matching results, and adjacent matching results are merged to construct a new structure. There are structural regions, among which... ; The finished product feature set and Each structural region is input to the cooling configuration network, and then processed through a mapping sub-network. Each structural region is mapped to a feature set of the corresponding finished product, and the mapping result is sent to the configuration sub-network to output the configuration scheme of the cooling channel and complete the configuration of the cooling channel. The thickness feature in the finished product feature set is used as the clustering matching feature to perform the following steps: The thickness of each structural region is matched to obtain the matching results, and adjacent matching results are merged, including: Obtain important hierarchical markers for the location of the finished product; The hierarchical difference analysis of adjacent positions is performed using the location importance hierarchical identifier, and the first adjacent matching constraint is generated based on the analysis results; The importance of the location is used to perform a matching evaluation of the level, and a second adjacent matching constraint is generated based on the matching evaluation result; The matching results of adjacent positions are merged based on the first adjacent matching constraint and the second adjacent matching constraint; The step of performing digital simulation of the cooling channel and the finished product feature set, and executing cooling response fitting optimization, includes: The importance of location and thickness characteristics are calculated using normalized weights. Based on the normalized weight calculation results, the cooling location of the finished product is comprehensively evaluated, and a comprehensive evaluation result is established. Configure benchmark areas based on comprehensive evaluation results; The standard cooling rate is established by optimizing the basic cooling rate constraint through the reference region. The cooling response is fitted and optimized under digital simulation using the standard cooling rate.

2. The method as described in claim 1, characterized in that, After the automated cutting of the cooled engineering plastic, the process also includes: Continuous sampling of finished products is performed, and quality inspection of the continuous sampling results is conducted to generate quality inspection results. The quality inspection includes dimensional inspection, appearance inspection, and mechanical performance inspection. Based on the quality inspection results, a steady-state evaluation of the process is conducted, an early warning feedback is established based on the steady-state evaluation results, and process control and management are carried out based on the early warning feedback.

3. The method as described in claim 2, characterized in that, The establishment of early warning feedback based on the process steady-state evaluation results includes: If the steady-state evaluation results of the process meet the preset steady-state threshold, then the continuous sampling is changed to random sampling, wherein the sampling ratio is adaptively set according to the control accuracy of the finished product. Establish an adaptive adjustment model for the sampling ratio, synchronize the quality inspection results and sampling ratio of the random sampling to the adaptive adjustment model, and generate an updated sampling ratio; Continuous sampling management is carried out based on the aforementioned updated sampling ratio.

4. The method as described in claim 1, characterized in that, The process of optimizing temperature control based on balanced raw material composition and extrusion requirements, and establishing heating control parameters for the graded heating zone, includes: The heating zone is configured according to the extrusion requirements, wherein the heating zone is a heating zone established by the initial room temperature and the required temperature of the extrusion requirements; The heating range is divided into an initial heating range, a compensation range, and a steady-state range. The heating control optimization of the raw material composition is carried out in the initial heating range, the compensation range and the steady state range respectively. The heating control parameters of the three-level heating zone are generated based on the optimization results.

5. The method as described in claim 4, characterized in that, The method includes: Real-time temperature acquisition is performed on the graded heating zones corresponding to the initial heating zone, and a real-time feedback temperature set is established. The real-time feedback temperature set is fed back to the graded heating zone corresponding to the compensation interval to perform dynamic compensation of the heating control parameters.

6. An engineering plastics process control system based on extrusion molding, characterized in that, The system is used to perform the method according to any one of claims 1-5, the system comprising: A raw material processing module is used to prepare raw materials for engineering plastics, including virgin materials, recycled materials, and additives. The raw materials are pretreated to establish a balanced composition. The heating control module is used to set the extrusion requirements according to the calibration preparation process, optimize the temperature control to balance the raw material composition and extrusion requirements, establish heating control parameters for the graded heating zone, load the preparation raw material into the hopper, and execute heating control through the heating control parameters. A cooling rate constraint establishment module is used to establish a basic cooling rate constraint based on the balanced raw material composition. The cooling response fitting and optimization module is used to extract the geometric features of the prepared product, establish a product feature set, configure the cooling channel based on the product feature set, and use the basic cooling rate constraint as the optimization target to perform digital simulation on the cooling channel and the product feature set, perform cooling response fitting and optimization, and establish the fitting and optimization results. An automated cutting module is used to transport molten plastic to the die head via a screw, perform mold forming, control cooling by fitting optimization results, and automatically cut the cooled engineering plastic, thus completing the process control of engineering plastics.

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