Engineering plastic process control method based on extrusion molding

Abstract

The invention discloses an engineering plastic process control method based on extrusion molding, and relates to the technical field of plastic molding.The method comprises the steps that raw materials are pretreated, and balanced raw material components are established; extrusion requirements are set, temperature control optimization is carried out, and heating control parameters of the graded heating areas are established; establishing a basic cooling rate constraint based on balanced raw material components; performing geometric feature extraction of a prepared finished product, establishing a finished product feature set, configuring a cooling channel, performing digital simulation by taking basic cooling rate constraint as an optimization target, performing cooling response fitting optimization, and performing cooling control and automatic cutting according to a fitting optimization result to complete process control of engineering plastics. The technical problem that in the prior art, due to the diversity and complexity of influence factors of an extrusion molding process, the control precision of process parameters is low is solved, and the technical effect that the production quality of engineering plastics is improved by optimizing the temperature control precision and the cooling control precision is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of plastic molding, and particularly to an engineering plastic process control method based on extrusion molding. Background Art

[0002] With the wide application of engineering plastics in various fields, the requirements for their performance are also getting higher and higher. Engineering plastics need to have excellent mechanical properties, heat resistance, corrosion resistance, etc. to meet the needs of different fields. This requires that the extrusion molding process can precisely control the processes of raw material mixing, melting, extrusion, etc., to ensure that the performance of engineering plastics reaches the best state and guarantee the quality and performance stability of engineering plastic products. However, due to the diversity and complexity of the influencing factors of the extrusion molding process, the control accuracy of process parameters is low, which affects the quality of finished plastics. Summary of the Invention

[0003] The present application provides an engineering plastic process control method based on extrusion molding, which is used to solve the technical problem of low control accuracy of process parameters due to the diversity and complexity of the influencing factors of the extrusion molding process in the prior art.

[0004] In the first aspect of the present application, an engineering plastic process control method based on extrusion molding is provided. The method includes: preparing the raw materials for the preparation of engineering plastics, where the preparation raw materials include new materials, recycled materials, and additives, performing raw material pretreatment on the preparation raw materials, and establishing a balanced raw material composition; setting the extrusion requirements according to the standard preparation process, performing temperature control optimization based on the balanced raw material composition and the extrusion requirements, establishing the heating control parameters for the hierarchical heating zone, loading the preparation raw materials into the hopper, and performing heating control through the heating control parameters; establishing a basic cooling rate constraint based on the balanced raw material composition; performing geometric feature extraction of the prepared finished product, establishing a finished product feature set, configuring a cooling channel based on the finished product feature set, performing digital simulation on the cooling channel and the finished product feature set with the basic cooling rate constraint as the optimization target, performing cooling response fitting optimization, and establishing a fitting optimization result; conveying the plastic melt to the head through a screw, performing die molding, performing cooling control through the fitting optimization result, and automatically cutting the cooled engineering plastics to complete the process control of the engineering plastics.

[0005] In a second aspect of the present application, a process control system for engineering plastics based on extrusion molding is provided. The system includes: a preparation raw material processing module for preparing the raw materials for engineering plastics. The preparation raw materials include virgin materials, recycled materials, and additives. The preparation raw materials are subjected to raw material pretreatment and a balanced raw material composition is established; a heating control module for setting extrusion requirements according to the calibrated preparation process, performing temperature control optimization based on the balanced raw material composition and extrusion requirements, establishing heating control parameters for a hierarchical heating zone, and loading the preparation raw materials into a hopper, and performing heating control through the heating control parameters; a cooling rate constraint establishment module for establishing a basic cooling rate constraint based on the balanced raw material composition; a cooling response fitting optimization module for performing geometric feature extraction of the prepared finished product, establishing a finished product feature set, configuring cooling channels based on the finished product feature set, and performing digital simulation on the cooling channels and the finished product feature set with the basic cooling rate constraint as the optimization target, performing cooling response fitting optimization, and establishing a fitting optimization result; an automated cutting module for conveying the plastic melt to the die head through a screw, performing die forming, performing cooling control through the fitting optimization result, and automatically cutting the cooled engineering plastics to complete the process control of the engineering plastics.

[0006] One or more technical solutions provided in the present application have at least the following technical effects or advantages: The process control method for engineering plastics based on extrusion molding provided in the present application relates to the technical field of plastic molding. By performing raw material pretreatment and establishing a balanced raw material composition, performing temperature control optimization according to extrusion requirements, establishing heating control parameters for a hierarchical heating zone to perform heating control, configuring cooling channels according to the finished product feature set, and performing digital simulation with the basic cooling rate constraint as the optimization target, performing cooling response fitting optimization, and performing cooling control and automated cutting through the fitting optimization result to complete the process control of the engineering plastics, the technical problem of low control accuracy of process parameters caused by the diversity and complexity of influencing factors in the existing extrusion molding process is solved, and the technical effect of improving the production quality of engineering plastics by optimizing the temperature control and cooling control accuracy is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0007] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0008] Figure 1Schematic flow chart of the engineering plastic process control method based on extrusion molding provided by the embodiment of the present application; Figure 2 Schematic flow chart of configuring a cooling channel in the engineering plastic process control method based on extrusion molding provided by the embodiment of the present application; Figure 3 Schematic flow chart of performing cooling response fitting optimization in the engineering plastic process control method based on extrusion molding provided by the embodiment of the present application; Figure 4 Schematic structural diagram of the engineering plastic process control system based on extrusion molding provided by the embodiment of the present application.

[0009] Explanation of reference numerals: Preparation raw material processing module 11, heating control module 12, cooling rate constraint establishment module 13, cooling response fitting optimization module 14, automatic cutting module 15. Detailed implementation manners

[0010] The present application provides an engineering plastic process control method based on extrusion molding, which is used to solve the technical problem that the control accuracy of process parameters is low due to the diversity and complexity of influencing factors in the existing extrusion molding process.

[0011] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present application without creative efforts shall fall within the protection scope of the present application.

[0012] It should be noted that the terms "first", "second", etc. in the description and drawings of the present application are used to distinguish similar objects, and do not necessarily need to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so that the embodiments of the present application described here can be implemented in an order other than those illustrated or described here. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or server including a series of steps or units does not necessarily need to be limited to those clearly listed steps or units, but may include other steps or modules not clearly listed or inherent to these processes, methods, products, or devices.

[0013] Embodiment 1 As Figure 1 shown, the present application provides an engineering plastic process control method based on extrusion molding, and the method includes: P10: Prepare the raw materials for the preparation of engineering plastics. The said raw materials for preparation include virgin materials, recycled materials and additives. Conduct raw material pretreatment on the said raw materials for preparation and establish a balanced raw material composition. It should be understood that when selecting the raw materials for the preparation of engineering plastics, it includes preparing virgin materials, recycled materials and additives. Among them, the virgin materials usually provide basic properties and stability. The use of recycled materials helps to reduce costs and environmental burden. Additives can further adjust and optimize certain properties of plastics, such as strength, hardness, color, etc. Further, conduct raw material pretreatment on the said raw materials for preparation, including steps such as drying, screening, heating, cooling and stretching, to remove moisture in the raw materials, adjust its melting point and viscosity, and enhance the strength and toughness of the plastics, so that the raw materials can better meet the operating requirements of the extruder.

[0014] Further, understand the basic properties of various raw materials, and set the proportion of raw materials in combination with the performance requirements and usage environment of the product. Precisely calculate and adjust the proportions of virgin materials, recycled materials and additives, and establish a balanced raw material composition 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 standard preparation process. Conduct temperature control optimization with the balanced raw material composition and extrusion requirements, establish the heating control parameters for the hierarchical heating zone, and load the said raw materials for preparation into the hopper, and execute heating control through the said heating control parameters. Further, step P20 of the embodiment of the present application further includes: P21: Configure the heating zone according to the said extrusion requirements, where the heating zone is a heating zone established for the initial room temperature and the required temperature of the extrusion requirements. P22: Divide the said heating zone, and configure the initial heating zone, compensation zone and steady state zone. P23: Conduct heating control optimization for the balanced raw material composition in the initial heating zone, compensation zone and steady state zone respectively, and generate the heating control parameters for the three-layer hierarchical heating zone according to the optimization results.

[0016] Optionally, set the extrusion requirements according to the standard preparation process. The said extrusion requirements include parameters such as the required extrusion speed, extrusion volume, product shape and size, etc. And based on the balanced raw material composition and extrusion requirements, conduct temperature control optimization, establish the heating control parameters for the hierarchical heating zone, and execute heating control according to the said heating control parameters to ensure uniform melting of the plastics.

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

[0018] Further, the heating range is further refined into an initial heating range, a compensation range, and a steady-state range. Among them, the initial heating range refers to the temperature range in which the raw materials are quickly heated from the initial room temperature to a temperature close to the molten state. The compensation range is used to compensate for the temperature fluctuations caused by factors such as differences in raw material composition and equipment heat loss when the raw materials are close to the molten state. The steady-state range refers to the temperature range that needs to be maintained when the raw materials reach a stable molten state.

[0019] Further, for the initial heating range, the compensation range, and the steady-state range, heating control optimization is carried out according to the characteristics of the balanced raw material composition, such as melting point, heat of fusion, etc. Through experimental or simulation methods, the heating control strategies for each range are optimized to find the optimal heating control parameters that can ensure the maximum uniformity of raw material melting, extrusion stability, and product quality. Exemplarily, 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 regulation may be required to compensate for the temperature fluctuations caused by various factors. For the steady-state range, it is important to maintain the temperature stability to avoid degradation or performance changes of the plastic during the extrusion process.

[0020] Further, the optimal heating control parameters of the initial heating range, the compensation range, and the steady-state range are integrated to form the heating control parameters of the three-layer hierarchical heating zone. Further, the pre-treated preparation raw materials are loaded into the hopper of the extruder, and the extruder is heated and controlled according to the heating control parameters to ensure that the raw materials can reach the expected molten state during the extrusion process.

[0021] Further, step P20 of the embodiment of the present application further includes: P24: Collect the real-time temperature of the hierarchical heating zone corresponding to the initial heating range and establish a real-time feedback temperature set; P25: Feed the real-time feedback temperature set back to the hierarchical heating zone corresponding to the compensation range and perform dynamic compensation of the heating control parameters.

[0022] Specifically, through the temperature sensors installed in the heating zone, the hierarchical heating zone corresponding to the initial heating range is subjected to real-time temperature acquisition, and based on the acquired temperature data, a real-time feedback temperature set is established. The real-time feedback temperature set includes the temperature data of the heating zone at different time points. Further, the real-time feedback temperature set is fed back to the hierarchical heating zone corresponding to the compensation range, and the real-time feedback temperature set is compared with a preset temperature target to determine the temperature deviation between the current heating state and the target state. Based on the temperature deviation, the heating control parameters of the compensation range are dynamically adjusted to correct the deviation in the heating process in a timely manner, ensuring that the raw materials can be evenly melted during the extrusion process and meeting the preset process requirements.

[0023] P30: Establish a basic cooling rate constraint based on the balanced raw material composition; It should be understood that, based on the balanced raw material composition, a basic cooling rate constraint is established to ensure that the plastic will not have defects due to being too fast or too slow during the cooling process. Exemplarily, in-depth understanding of the composition and physical properties of the raw materials, including key parameters such as its thermal conductivity, heat capacity, melting point, etc., and based on the composition balance of the raw materials, analyzing problems such as uneven heat conduction and large temperature gradients that may occur during the cooling process of the raw materials. Further, according to the physical properties of the raw materials and the problems that may occur during the cooling process, a basic cooling rate constraint is formulated. The basic cooling rate constraint includes the maximum cooling rate, the minimum cooling rate, and the change range of the cooling rate, etc., which can ensure that the raw materials are properly cooled during the extrusion process, thereby improving the quality and stability of the product.

[0024] P40: Perform geometric feature extraction of the prepared finished product, establish a finished product feature set, configure a cooling channel based on the finished product feature set, and perform digital simulation on the cooling channel and the finished product feature set with the basic cooling rate constraint as the optimization target, and perform cooling response fitting optimization to establish a fitting optimization result; Specifically, by using measuring tools, geometric features of the prepared finished product, such as dimensions, shapes, curvatures, etc., are extracted to establish a finished product feature set. According to the information in the finished product feature set, such as dimensions and shapes, the position, quantity, and shape of the cooling channel are initially configured to ensure that the cooling effect can cover the entire finished product, and with the basic cooling rate constraint as the optimization target, using digital simulation technology, the cooling channel and the finished product feature set are simulated, and based on the simulation results, the configuration of the cooling channel is fitted and optimized to find the best cooling channel configuration scheme.

[0025] Further, as Figure 2 shown, step P40 of the embodiment of the present application further includes: P41: Perform structural segmentation of the prepared finished product according to the structural complexity feature in the finished product feature set, and establish structural regions, where is an integer greater than 1; P42: Using the thickness feature in the finished product feature set as the clustering matching feature, perform regional thickness matching for each of the structural regions, obtain the matching results, and merge the matching results with adjacent positions to construct structural regions, where P43: Input the finished product feature set and structural regions into the cooling configuration network, and perform feature mapping for each of the

[0026] structural regions in the finished product feature set through the mapping sub-network, and send the mapping results to the configuration sub-network to output the configuration scheme of the cooling channels and complete the cooling channel configuration. structural regions, which is convenient for subsequent independent cooling channel configuration for each region. Where is an integer greater than 1. Further, using the thickness feature in the finished product feature set as the clustering matching feature, perform regional thickness matching for the structural regions, and according to the matching results, merge the regions with similar thickness and adjacent positions to construct structural regions to reduce the complexity of the cooling channel configuration while ensuring the uniformity of the cooling effect, where .

[0027] Further, input the finished product feature set and structural regions into the cooling configuration network, where the cooling configuration network is a machine learning model integrating a mapping sub-network and a configuration sub-network, which can master the mapping relationship between the finished product feature set, the structural regions and the cooling channel configuration by learning a large number of data samples. The mapping sub-network can perform feature mapping for each region in the finished product feature set and the structural regions, that is, find the features in the finished product feature set that are most relevant to the cooling requirements of a specific structural region. The configuration sub-network can generate the configuration scheme of the cooling channels according to the output of the mapping sub-network, combined with the process requirements and the basic cooling rate constraint. Perform feature mapping for each of the

[0028] structural regions in the finished product feature set through the mapping sub-network, and send the mapping results to the configuration sub-network to output the configuration scheme of the cooling channels and complete the cooling channel configuration. P42-1: Obtain the position importance grading identifier of the prepared finished product; P42-2: Perform a grading difference analysis on adjacent positions through the position importance grading identifier, and generate a first adjacent matching constraint according to the analysis result. P42-3: Perform a matching evaluation of grades through the position importance grading identifier, and generate a second adjacent matching constraint according to the matching evaluation result. P42-4: Complete the merging of the matching results of adjacent positions according to the first adjacent matching constraint and the second adjacent matching constraint.

[0029] In a possible embodiment of the present application, based on the design requirements of the product, the usage function, and the cooling requirements in the process, etc., determine the importance of different positions in the prepared finished product, and assign an importance grading identifier to each position. Further, compare the importance grading identifiers of adjacent positions, perform a grading difference analysis on adjacent positions to evaluate the similarity or difference in cooling requirements between adjacent positions, and generate a first adjacent matching constraint according to the analysis result.

[0030] Further, use the position importance grading identifier to evaluate the grade matching degree between adjacent positions, that is, quantitatively compare the importance of adjacent positions to determine whether adjacent positions are similar or compatible enough during merging, and generate a second adjacent matching constraint according to the matching evaluation result.

[0031] Further, comprehensively apply the first adjacent matching constraint and the second adjacent matching constraint to merge the matching results of adjacent positions. By merging the matching results of adjacent positions, a more optimized and process requirement-compliant structural area division is obtained, providing a basis for the subsequent configuration of cooling channels.

[0032] Further, as Figure 3 shown, step P40 of the embodiment of the present application further includes: P44: Calculate the position importance grading identifier and the thickness feature through normalized weight calculation, perform a comprehensive evaluation of the cooling positions of the prepared finished product according to the normalized weight calculation result, and establish a comprehensive evaluation result. P45: Configure a reference area according to the comprehensive evaluation result. P46: Perform an optimization control of the basic cooling rate constraint through the reference area to establish a standard cooling rate. P47: Perform a cooling response fitting optimization under digital simulation at the standard cooling rate.

[0033] It should be understood that, by combining two key factors, namely the position importance grading identifier and the thickness feature, the relative importance in the comprehensive evaluation is determined through normalized weight calculation. The normalized weight calculation can ensure the comparability of different features during the evaluation process and eliminate the influence brought by the dimension difference. Based on the results of the normalized weight calculation, a comprehensive evaluation of the cooling position of the prepared finished product is carried out, comprehensively considering the importance of the position and the influence of the thickness feature on the cooling effect, and a comprehensive evaluation result is established.

[0034] Furthermore, a reference area is configured according to the comprehensive evaluation result. The reference area refers to the area that needs to be particularly concerned about or key-controlled during the cooling process, that is, the relatively important positions in the comprehensive evaluation result. The information of the reference area is used for the optimization control of the basic cooling rate constraint. Using an optimization algorithm, by adjusting the cooling rates of different areas, the cooling rate configuration that can obtain the best cooling effect under the condition of meeting the basic cooling rate constraint is searched for, and a standard cooling rate is established as the reference standard for the subsequent cooling process.

[0035] Furthermore, the standard cooling rate is used for the fitting optimization of the cooling response under digital simulation. Exemplarily, through digital simulation technology, key parameters such as the temperature distribution and stress change of the prepared finished product during the cooling process are simulated, and based on the simulation results, the fitting optimization of the cooling response is carried out to further optimize the configuration of the cooling channels and the control strategy of the cooling rate to achieve precise control of the cooling process of the prepared finished product.

[0036] P50: The plastic melt is transported to the die head by a screw, the die forming is performed, and the cooling control is carried out through the fitting optimization result, and the cooled engineering plastic is automatically cut to complete the process control of the engineering plastic.

[0037] Specifically, the plastic melt is transported to the die head by a screw, and the melt is injected into the die to perform die forming. Furthermore, through the cooling configuration scheme and cooling rate in the fitting optimization result, the cooling control is carried out to ensure that the product can be cooled evenly and quickly, avoiding problems such as deformation and cracking caused by uneven cooling, thereby improving the quality and performance of the product. After cooling is completed, the cooled engineering plastic is taken out of the die and precisely cut by an automatic cutting device to complete the process control of the engineering plastic.

[0038] Furthermore, the embodiment of the present application further includes step P60, and step P60 further includes: P61: Continuously sample the processed finished product, perform quality inspection on the continuous sampling result, and generate a quality inspection result. The quality inspection includes dimension inspection, appearance inspection, and mechanical property inspection; P62: Conduct process steady-state evaluation based on the quality inspection results, establish an early warning feedback based on the process steady-state evaluation results, and perform process control management according to the early warning feedback.

[0039] Optionally, continuously sample the processed engineering plastic finished products. For example, randomly or according to a certain rule select a certain number of finished products from the production line as samples, and conduct quality inspections on the sampling results, including dimension inspection, appearance inspection, and mechanical property inspection, to generate quality inspection results. Further, conduct process steady-state evaluation based on the quality inspection results. For example, comprehensively analyze each inspection result to determine whether the production process is in a stable state. If the quality inspection results are stable and meet the preset standards, it can be considered that the process is in a steady state; otherwise, there may be some problems or hidden dangers.

[0040] Further, establish an early warning feedback based on the process steady-state evaluation results, and perform process control management according to the early warning feedback, including measures such as adjusting production parameters, optimizing the process flow, and strengthening quality monitoring, to ensure the stability of the production process and the reliability of product quality.

[0041] Further, step P62 of the embodiment of the present application further includes: P62-1: If the process steady-state evaluation result meets the preset steady-state threshold, change continuous sampling to spot-check sampling, where the sampling ratio is adaptively set according to the control precision of the prepared finished products; P62-2: Establish an adaptive adjustment model for the ratio, synchronize the quality inspection results and sampling ratio of the spot-check sampling to the adaptive adjustment model, and generate an updated sampling ratio; P62-3: Conduct continuous spot-check sampling management with the updated sampling ratio.

[0042] Specifically, judge and process the 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, it is considered that the reliability of the current production process is relatively high. To improve production efficiency and reduce sampling costs, the continuous sampling method can be changed to spot-check sampling, and the sampling ratio can be adaptively set according to the control precision of the prepared finished products.

[0043] Further, by obtaining sample sampling data for training and establishing an adaptive adjustment model for the ratio, the adaptive adjustment model can dynamically adjust the size of the sampling ratio according to the quality inspection results of the sampling inspection and the current sampling ratio. By synchronizing the quality inspection results of the sampling inspection and the sampling ratio to the adaptive adjustment model, an updated sampling ratio can be obtained. Continuous sampling inspection management is carried out according to the updated sampling ratio, that is, the sampling ratio is updated after each sampling inspection to adapt to the continuous changes in the production process and product quality, realizing dynamic monitoring and optimized management of the production process, and ensuring the stability of product quality and the improvement of production efficiency.

[0044] In summary, the embodiments of the present application have at least the following technical effects: In the present application, through raw material pretreatment and establishing a balanced raw material composition, temperature control optimization is carried out according to the extrusion requirements, heating control parameters for the hierarchical heating zone are established to perform heating control, cooling channels are configured according to the finished product feature set, and digital simulation is carried out with the basic cooling rate constraint as the optimization target, cooling response fitting optimization is performed, and cooling control and automatic cutting are carried out through the fitting optimization results to complete the process control of engineering plastics.

[0045] The technical effect of improving the production quality of engineering plastics is achieved by optimizing the temperature control and cooling control accuracy.

[0046] Embodiment 2 Based on the same inventive concept as the engineering plastic process control method based on extrusion molding in the foregoing embodiment, as Figure 4 shown, the present application provides an engineering plastic process control system based on extrusion molding. The system in the embodiments of the present application and the method embodiments are based on the same inventive concept. Among them, the system includes: A preparation raw material processing module 11, which is used to prepare the preparation raw materials for engineering plastics. The preparation raw materials include new materials, recycled materials and additives. The preparation raw materials are subjected to raw material pretreatment and a balanced raw material composition is established; A heating control module 12, which is used to set the extrusion requirements according to the standard preparation process, perform temperature control optimization based on the balanced raw material composition and the extrusion requirements, establish the heating control parameters for the hierarchical heating zone, and load the preparation raw materials into the hopper, and perform heating control through the heating control parameters; A cooling rate constraint establishment module 13, which is used to establish a basic cooling rate constraint based on the balanced raw material composition; The cooling response fitting and optimization module 14 is used to perform geometric feature extraction of the prepared finished product, establish a finished product feature set, configure cooling channels based on the finished product feature set, and perform digital simulation on the cooling channels and the finished product feature set with the basic cooling rate constraint as the optimization target, execute cooling response fitting and optimization, and establish a fitting and optimization result; The automatic cutting module 15 is used to convey the plastic melt to the head through a screw, perform die forming, perform cooling control through the fitting and optimization result, and automatically cut the cooled engineering plastic to complete the process control of the engineering plastic.

[0047] Furthermore, the heating control module 12 is further used to perform the following steps: Configure a heating range according to the extrusion requirement, where the heating range is a heating range established based on the initial room temperature and the required temperature of the extrusion requirement; Divide the heating range, and configure an initial heating range, a compensation range, and a steady state range; Perform heating control optimization for balancing the raw material composition in the initial heating range, the compensation range, and the steady state range respectively, and generate heating control parameters for the three-layer hierarchical heating zone according to the optimization result.

[0048] Furthermore, the heating control module 12 is further used to perform the following steps: Perform real-time temperature acquisition on the hierarchical heating zone corresponding to the initial heating range, and establish a real-time feedback temperature set; Feed the real-time feedback temperature set back to the hierarchical heating zone corresponding to the compensation range, and perform dynamic compensation of the heating control parameters.

[0049] Furthermore, the cooling response fitting and optimization module 14 is further used to perform the following steps: Perform structural segmentation of the prepared finished product according to the structural complexity feature in the finished product feature set, and establish structural regions, where is an integer greater than 1; Use the thickness feature in the finished product feature set as the clustering matching feature, perform regional thickness matching of structural regions, obtain the matching result, and merge the matching results with adjacent positions to construct structural regions, where ; Input the finished product feature set and structural regions into the cooling configuration network, and perform Each structural area in a structural area is mapped to a feature in the corresponding finished product feature set, and the mapping result is sent to the configuration sub-network to output a configuration plan for the cooling channel, completing the configuration of the cooling channel.

[0050] Further, the cooling response fitting optimization module 14 is further configured to perform the following steps: Obtain the position importance grading identifier for preparing the finished product; Perform grading difference analysis of adjacent positions through the position importance grading identifier, and generate a first adjacent matching constraint according to the analysis result; Perform matching evaluation of grades through the position importance grading identifier, and generate a second adjacent matching constraint according to the matching evaluation result; Complete the merging of the matching results of adjacent positions according to the first adjacent matching constraint and the second adjacent matching constraint.

[0051] Further, the cooling response fitting optimization module 14 is further configured to perform the following steps: Calculate the normalized weights for the position importance grading identifier and the thickness feature, perform a comprehensive evaluation of the cooling positions of the prepared finished product according to the calculation result of the normalized weights, and establish a comprehensive evaluation result; Configure the reference area according to the comprehensive evaluation result; Perform optimization control of the basic cooling rate constraint through the reference area to establish a standard cooling rate; Perform cooling response fitting optimization under digital simulation at the standard cooling rate.

[0052] Further, the system further includes: A sampling quality inspection module, which is used to continuously sample the processed finished product, perform quality inspection on the continuous sampling result, generate a quality inspection result, and the quality inspection includes dimension inspection, appearance inspection, and mechanical property inspection; A process control management module, which is used to perform process steady-state evaluation according to the quality inspection result, establish an early warning feedback based on the process steady-state evaluation result, and perform process control management according to the early warning feedback.

[0053] Further, the system further includes: A sampling change module, which is used to change continuous sampling to sampling inspection if the process steady-state evaluation result meets the preset steady-state threshold, wherein the sampling ratio is adaptively set according to the control precision of the prepared finished product; An updated sampling ratio generation module, which is used to establish an adaptive adjustment model for the ratio, synchronize the quality inspection result and the sampling ratio of the sampling inspection to the adaptive adjustment model, and generate an updated sampling ratio; Sampling inspection and sampling management module, which is used to perform continuous sampling inspection and sampling management at the updated sampling ratio.

[0054] It should be noted that the above-mentioned order of the embodiments of the present application is only for description and does not represent the superiority or inferiority of the embodiments. And the above describes specific embodiments of this specification. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0055] The above are only the preferred embodiments of the present application and are not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present application shall be included within the protection scope of the present application.

[0056] This specification and the drawings are only exemplary descriptions of the present application and are considered to have covered any and all modifications, variations, combinations, or equivalents within the scope of the present application. Obviously, those skilled in the art can make various changes and modifications 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 equivalent technologies, the present application is intended to include these changes and modifications.

Claims

1. An engineering plastic process control method based on extrusion molding, characterized in that, The method includes: Preparing the raw materials for the preparation of engineering plastics. The raw materials for preparation include virgin materials, recycled materials, and additives. The raw materials for preparation are pre-treated and a balanced raw material composition is established. Setting the extrusion requirements according to the standard preparation process, optimizing the temperature control based on the balanced raw material composition and extrusion requirements, establishing the heating control parameters for the hierarchical heating zone, loading the raw materials for preparation into the hopper, and performing heating control through the heating control parameters. Establishing a basic cooling rate constraint based on the balanced raw material composition. Performing geometric feature extraction of the prepared finished product, establishing a finished product feature set, configuring a cooling channel based on the finished product feature set, and performing digital simulation on the cooling channel and the finished product feature set with the basic cooling rate constraint as the optimization target, performing cooling response fitting optimization, and establishing a fitting optimization result. Conveying the plastic melt to the die head through a screw, performing die forming, performing cooling control through the fitting optimization result, and automatically cutting the cooled engineering plastics to complete the process control of the engineering plastics.

2. The method according to claim 1, wherein The performing geometric feature extraction of the prepared finished product, establishing a finished product feature set, and configuring a cooling channel based on the finished product feature set includes: Perform structural segmentation of the finished product according to the structural complexity feature in the set of finished product features, and establish structural regions, where is an integer greater than 1; use the thickness feature in the set of finished product features as the clustering matching feature, and perform regional thickness matching of the structural regions, obtain the matching results, and merge the matching results with adjacent positions to construct structural regions, where ; Input the finished product feature set and structural regions into the cooling configuration network, and perform feature mapping between each structural region in the structural regions and the features in the corresponding finished product feature set, and send the mapping results to the configuration sub-network to output the configuration scheme of the cooling channels, thus completing the configuration of the cooling channels.

3. The method according to claim 2, wherein Using the thickness feature in the finished product feature set as the clustering matching feature, perform regional thickness matching for the structural regions, obtain the matching results, and merge the matching results with adjacent positions, including: Obtaining the position importance grading identifier of the prepared finished product. Performing hierarchical difference analysis of adjacent positions through the position importance grading identifier, and generating a first adjacent matching constraint according to the analysis result. Performing matching evaluation of grades through the position importance grading identifier, and generating a second adjacent matching constraint according to the matching evaluation result. Completing the merging of the matching results of adjacent positions according to the first adjacent matching constraint and the second adjacent matching constraint.

4. The method according to claim 3, wherein The performing digital simulation on the cooling channel and the finished product feature set, and performing cooling response fitting optimization includes: Calculating the position importance grading identifier and the thickness feature through normalized weights, performing comprehensive evaluation of the cooling position of the prepared finished product according to the calculation result of the normalized weights, and establishing a comprehensive evaluation result. Configuring a reference area according to the comprehensive evaluation result. Performing optimization control of the basic cooling rate constraint through the reference area, and establishing a standard cooling rate. Performing cooling response fitting optimization under digital simulation at the standard cooling rate.

5. The method according to claim 1, wherein After the automatically cutting the cooled engineering plastics, it further includes: Performing continuous sampling of the processed finished product, performing quality inspection on the continuous sampling result, generating a quality inspection result. The quality inspection includes dimension inspection, appearance inspection, and mechanical property inspection. Performing process steady-state evaluation according to the quality inspection result, establishing an early warning feedback based on the process steady-state evaluation result, and performing process control management according to the early warning feedback.

6. The method according to claim 5, wherein The establishing an early warning feedback based on the process steady-state evaluation result includes: If the process steady-state evaluation result meets the preset steady-state threshold, changing the continuous sampling to sampling inspection, where the sampling ratio is adaptively set according to the control precision of the prepared finished product. Establishing an adaptive adjustment model for the ratio, synchronizing the quality inspection result and the sampling ratio of the sampling inspection to the adaptive adjustment model, and generating an updated sampling ratio. Performing continuous sampling inspection management at the updated sampling ratio.

7. The method according to claim 1, characterized in that The optimizing the temperature control based on the balanced raw material composition and extrusion requirements, and establishing the heating control parameters for the hierarchical heating zone includes: Configure the heating zones according to the extrusion requirements, where the heating zones are the heating zones established for the initial room temperature and the required temperature of the extrusion requirements; Divide the heating zones and configure the initial heating zone, the compensation zone, and the steady-state zone; Perform optimization of the heating control for balancing the raw material components in the initial heating zone, the compensation zone, and the steady-state zone respectively, and generate the heating control parameters for the three-layer hierarchical heating zones according to the optimization results.

8. The method according to claim 7, wherein The method includes: Collect the real-time temperature of the hierarchical heating zone corresponding to the initial heating zone and establish a real-time feedback temperature set; Feed back the real-time feedback temperature set to the hierarchical heating zone corresponding to the compensation zone and perform dynamic compensation of the heating control parameters.

9. The engineering plastic process control system based on extrusion molding is characterized in that, The system includes: A preparation raw material processing module, which is used to prepare the preparation raw materials for engineering plastics. The preparation raw materials include virgin materials, recycled materials, and additives. The preparation raw materials are subjected to raw material pretreatment and an equilibrium raw material composition is established; A heating control module, which is used to set the extrusion requirements according to the standard preparation process, perform optimization of the temperature control based on the equilibrium raw material composition and the extrusion requirements, establish the heating control parameters for the hierarchical heating zones, load the preparation raw materials into the hopper, and perform heating control through the heating control parameters; A cooling rate constraint establishment module, which is used to establish a basic cooling rate constraint based on the equilibrium raw material composition; A cooling response fitting optimization module, which is used to extract the geometric features of the prepared finished product, establish a finished product feature set, configure cooling channels based on the finished product feature set, perform digital simulation on the cooling channels and the finished product feature set with the basic cooling rate constraint as the optimization target, perform cooling response fitting optimization, and establish a fitting optimization result; An automated cutting module, which is used to convey the plastic melt to the die head through a screw, perform die forming, perform cooling control through the fitting optimization result, and automatically cut the cooled engineering plastics to complete the process control of the engineering plastics.

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