Single screw extrusion performance optimization method and device based on finite element simulation

Abstract

The application relates to the technical field of simulation screw extrusion performance optimization, in particular to a single-screw extrusion performance optimization method and device based on finite element simulation, which comprises the following steps: importing a three-dimensional assembly model of a single screw and a barrel into finite element simulation software, setting first physical parameters of a polypropylene fluid and second physical parameters of the single screw and the barrel, inputting the parameters into a target single-screw calculation model, predicting the extrusion rate of the polypropylene fluid under the coupling action of multiple groups of screw rotating speeds and thread parameters until the extrusion rate meets a flow stability condition, outputting an extrusion rate simulation result, and then analyzing the target variation law of the extrusion rate to determine a target screw rotating speed and a target thread parameter of the single screw, so that the single-screw extrusion performance is synergistically optimized. Therefore, the problems that in the related art, only the influence of the screw rotating speed or the local thread structure is investigated, the analysis dimension is relatively single, and the reliability and engineering applicability of the single-screw extrusion process analysis are reduced are solved.

Description

Technical Field

[0001] This application relates to the field of simulated screw extrusion performance optimization technology, and in particular to a method and apparatus for optimizing single-screw extrusion performance based on finite element simulation. Background Technology

[0002] Polypropylene (PP), a typical general-purpose thermoplastic polymer, possesses excellent mechanical properties, chemical resistance, and processing performance, and is widely used in packaging, automotive, home appliances, and electrical insulation. Single-screw extrusion, as one of the most common molding and processing methods for polypropylene, directly impacts product quality and corporate economic benefits through its process stability and production efficiency.

[0003] Traditional process design often relies on empirical formulas and trial-and-error methods to determine screw structure and operating parameters, making it difficult to accurately characterize the shear-thinning properties and thermal properties of non-Newtonian fluids. As product performance requirements continue to rise, traditional empirical methods are no longer sufficient to meet the demands for efficient and accurate design. In related technologies, numerical simulation methods are used to study polymer extrusion processes. Finite element method (FEM) software can simulate the flow, heat transfer, and pressure distribution of polypropylene melt during screw extrusion in a virtual environment, thus providing a theoretical basis for optimizing process parameters.

[0004] However, related technologies only consider the effects of screw speed or local thread structure, resulting in a relatively singular analysis dimension. This fails to fully reflect the flow law under the interaction of multiple factors, reduces the accuracy of extrusion process simulation prediction, and decreases the reliability and engineering applicability of single-screw extrusion process analysis, which urgently needs to be addressed. Summary of the Invention

[0005] This application is based on the inventor's understanding and insights into the following issues: Polypropylene (PP), a typical general-purpose thermoplastic polymer, possesses excellent mechanical properties, chemical resistance, and processing performance, and is widely used in packaging, automotive, home appliances, and electrical insulation. Single-screw extrusion, as one of the most common molding methods for polypropylene, directly impacts product quality and corporate economic benefits through its process stability and production efficiency. Among these factors, extrusion rate, a crucial indicator of extrusion process efficiency and capacity, is influenced by the coupled effects of multiple factors, including screw structural parameters, rotational speed, and material rheological properties.

[0006] In traditional process design, screw structural parameters (such as pitch, flute depth, and compression ratio) and operating parameters (such as screw speed) are typically determined using empirical formulas or trial-and-error methods. This approach is not only time-consuming and costly, but also struggles to accurately reveal the coupling relationships between parameters. This is especially true in the processing of polypropylene, a typical non-Newtonian fluid, where its shear-thinning characteristics and thermo-fluid coupling behavior further complicate the extrusion process. With ever-increasing product performance requirements, traditional empirical methods are no longer sufficient to meet the demands for efficient and precise design.

[0007] In recent years, with the development of computational fluid dynamics (CFD) and finite element analysis (FEM) techniques, numerical simulation has become an important tool for studying polymer extrusion processes. Finite element software can simulate the flow, heat transfer, and pressure distribution of polypropylene melt during screw extrusion in a virtual environment, providing a theoretical basis for process parameter optimization. However, existing research often focuses on single-factor analysis, such as considering only the influence of screw speed or local structural parameters on the flow field, lacking a systematic study of the extrusion rate variation under the coupled effect of screw thread size parameters and speed. Furthermore, some studies remain at the level of flow field or temperature field analysis, without establishing a complete methodological system that can be directly used for extrusion rate prediction and optimization. In addition, existing numerical simulation methods still have certain limitations in engineering applications. For example, there is a lack of unified standards for model parameter selection, making it difficult to balance computational accuracy and efficiency; the influence mechanism of different screw structural parameters on the extrusion rate is still unclear; and there is a lack of quantitative optimization strategies based on simulation results, making it difficult to guide the rapid adjustment of actual production parameters.

[0008] Therefore, the existing technologies have the following problems: (1) Existing technologies are mostly based on single-factor analysis and lack systematic research on the coupling effect of key factors such as screw thread size parameters and rotation speed, making it difficult to reveal the variation law of extrusion rate under the combined action of drag flow and pressure flow; (2) Existing models mostly stay at the qualitative analysis level of flow field or temperature field and lack a unified constitutive model and numerical solution framework; (3) The setting of polypropylene rheological parameters and boundary conditions mostly relies on empirical simplification, resulting in deviation between simulation results and actual working conditions, affecting engineering applicability; (4) There is a lack of multi-parameter optimization mechanism based on simulation results, making it difficult to achieve rapid combination screening and optimal design of screw structure and process parameters; (5) Under the influence of the above shortcomings, actual engineering still needs to rely on a large number of experimental verifications, resulting in high development costs and low efficiency, which urgently need to be improved.

[0009] This application provides a method and apparatus for optimizing the performance of a single screw extrusion based on finite element simulation. This addresses the problems in related technologies where only the screw speed or local thread structure is considered, resulting in a relatively singular analysis dimension. This fails to fully reflect the flow law under the interaction of multiple factors, reduces the accuracy of extrusion process simulation prediction, and decreases the reliability and engineering applicability of single screw extrusion process analysis.

[0010] The first aspect of this application provides a method for optimizing the performance of a single-screw extrusion based on finite element simulation, comprising the following steps: importing a pre-constructed three-dimensional assembly model of a single screw and barrel into finite element simulation software, setting a first physical property parameter of the polypropylene fluid and a second physical property parameter of the single screw and barrel; inputting the first physical property parameter and the second physical property parameter into a target single-screw calculation model, predicting the extrusion rate of the polypropylene fluid under the coupled action of multiple sets of screw speeds and thread parameters until the extrusion rate meets a preset flow stability condition, and outputting the extrusion rate simulation result; based on the simulation result, analyzing the target variation law of the extrusion rate under the coupled action of multiple sets of screw speeds and thread parameters, and determining the target screw speed and target thread parameter of the single screw according to the target variation law, so as to synergistically optimize the extrusion performance of the single screw.

[0011] Optionally, in one embodiment of this application, setting the first physical property parameters of the polypropylene fluid and the second physical property parameters of the single screw and barrel includes: setting the density, zero-shear viscosity, specific heat capacity, thermal conductivity, power law exponent, and relaxation time of the polypropylene fluid in finite element simulation software; and setting the density, yield strength, tensile strength, Poisson's ratio, coefficient of friction, shear modulus, and elastic modulus of the single screw and barrel.

[0012] Optionally, in one embodiment of this application, the step of predicting the extrusion rate of the polypropylene fluid under the coupled action of multiple sets of screw speeds and thread parameters until the extrusion rate meets the preset flow stability condition and outputs the extrusion rate simulation result includes: setting the inlet boundary conditions and initial motion direction of the polypropylene fluid, wherein the inlet normal and tangential stresses of the polypropylene fluid are both set to zero, and setting multiple sets of screw speeds and thread parameters; inputting the inlet boundary conditions, initial motion direction, and multiple sets of screw speeds and thread parameters into the target single-screw calculation model, using the target single-screw calculation model to iteratively solve and calculate the extrusion rate of the polypropylene fluid under the action of each set of screw speeds and thread parameters; continuously acquiring the extrusion rate of the polypropylene fluid in the simulation calculation until the extrusion rate of the polypropylene fluid corresponding to each set of screw speeds and thread parameters meets the preset flow stability condition, and outputting the extrusion rate simulation result.

[0013] Optionally, in one embodiment of this application, determining the target screw speed and target thread parameters of the single screw based on the target variation law to synergistically optimize the extrusion performance of the single screw includes: evaluating the screw speed stability, pressure stability, heat transfer stability, and flow stability corresponding to each set of screw speed and thread parameters based on the target variation law, and generating a comprehensive evaluation result; determining the target screw speed and target thread parameters of the single screw based on the comprehensive evaluation result to synergistically optimize the extrusion performance of the single screw.

[0014] Optionally, in one embodiment of this application, the step of evaluating the screw speed stability, pressure stability, heat transfer stability, and flow stability corresponding to each group of screw speeds and thread parameters based on the target variation law includes: obtaining, based on the target variation law, velocity amplitude contour maps, static pressure contour maps, longitudinal and cross-sectional static temperature distribution contour maps, and viscosity coefficient contour maps corresponding to each group of screw speeds and thread parameters; analyzing the velocity amplitude contour maps, static pressure contour maps, longitudinal and cross-sectional static temperature distribution contour maps, and viscosity coefficient contour maps to extract flow field distribution characteristics; and evaluating the screw speed stability, pressure stability, heat transfer stability, and flow stability corresponding to each group of screw speeds and thread parameters based on the flow field distribution characteristics.

[0015] A second aspect of this application provides a single-screw extrusion performance optimization device based on finite element simulation, comprising: a setting module for importing a pre-constructed three-dimensional assembly model of the single screw and barrel into finite element simulation software, setting first physical property parameters of polypropylene fluid and second physical property parameters of the single screw and barrel; a simulation module for inputting the first physical property parameters and the second physical property parameters into a target single-screw calculation model, predicting the extrusion rate of the polypropylene fluid under the coupled action of multiple sets of screw speeds and thread parameters until the extrusion rate meets a preset flow stability condition, and outputting the extrusion rate simulation result; and an optimization module for analyzing the target variation law of the extrusion rate under the coupled action of multiple sets of screw speeds and thread parameters based on the extrusion rate simulation result, and determining the target screw speed and target thread parameters of the single screw according to the target variation law, so as to synergistically optimize the single-screw extrusion performance.

[0016] Optionally, in one embodiment of this application, the setting module includes: a first setting unit for setting the density, zero-shear viscosity, specific heat capacity, thermal conductivity, power law exponent, and relaxation time of the polypropylene fluid in finite element simulation software; and a second setting unit for setting the density, yield strength, tensile strength, Poisson's ratio, coefficient of friction, shear modulus, and elastic modulus of the single screw and barrel.

[0017] Optionally, in one embodiment of this application, the simulation module includes: a third setting unit, used to set the inlet boundary conditions and initial motion direction of the polypropylene fluid, wherein the inlet normal and tangential stresses of the polypropylene fluid are both set to zero, and multiple sets of screw speeds and thread parameters are set; a first calculation unit, used to input the inlet boundary conditions, initial motion direction, and multiple sets of screw speeds and thread parameters into the target single-screw calculation model, and use the target single-screw calculation model to iteratively solve and calculate the extrusion rate of the polypropylene fluid under the action of each set of screw speeds and thread parameters; and a second calculation unit, used to continuously acquire the extrusion rate of the polypropylene fluid in the simulation calculation until the extrusion rate of the polypropylene fluid corresponding to each set of screw speeds and thread parameters meets the preset flow stability condition, and output the extrusion rate simulation result.

[0018] Optionally, in one embodiment of this application, the optimization module includes: an evaluation unit, used to evaluate the screw speed stability, pressure stability, heat transfer stability and flow stability corresponding to each group of screw speeds and thread parameters based on the target change law, and generate a comprehensive evaluation result; and a determination unit, used to determine the target screw speed and target thread parameters of the single screw according to the comprehensive evaluation result, so as to perform synergistic optimization of the extrusion performance of the single screw.

[0019] Optionally, in one embodiment of this application, the evaluation unit includes: an acquisition subunit, configured to acquire, based on the target variation law, the velocity amplitude contour map, static pressure contour map, longitudinal and cross-sectional static temperature distribution contour map, and viscosity coefficient contour map corresponding to each group of screw speeds and thread parameters; an analysis subunit, configured to analyze the velocity amplitude contour map, the static pressure contour map, the longitudinal and cross-sectional static temperature distribution contour map, and the viscosity coefficient contour map to extract flow field distribution characteristics; and an evaluation subunit, configured to evaluate, based on the flow field distribution characteristics, the screw speed stability, pressure stability, heat transfer stability, and flow stability corresponding to each group of screw speeds and thread parameters.

[0020] A third aspect of this application provides an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the single-screw extrusion performance optimization method based on finite element simulation as described in the above embodiments.

[0021] A fourth aspect of this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described single-screw extrusion performance optimization method based on finite element simulation.

[0022] A fifth aspect of this application provides a computer program product, including a computer program that, when executed, is used to implement the above-described single-screw extrusion performance optimization method based on finite element simulation.

[0023] This application embodiment can import a pre-constructed three-dimensional assembly model of a single screw and barrel into finite element simulation software, set the first physical property parameters of the polypropylene fluid and the second physical property parameters of the single screw and barrel, and input them into the target single screw calculation model. It then predicts the extrusion rate of the polypropylene fluid under the coupled effects of multiple sets of screw speeds and thread parameters until the extrusion rate meets the flow stability condition, outputs the extrusion rate simulation results, and analyzes the target variation law of the extrusion rate to determine the target screw speed and target thread parameters of the single screw. This allows for synergistic optimization of the single screw extrusion performance, effectively improving the reliability and engineering applicability of single screw extrusion process analysis. Therefore, it solves the problems of related technologies that only consider the influence of screw speed or local thread structure, resulting in a relatively singular analysis dimension, reduced accuracy of extrusion process simulation prediction, and decreased reliability and engineering applicability of single screw extrusion process analysis.

[0024] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0025] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein: Figure 1 This is a flowchart illustrating a single-screw extrusion performance optimization method based on finite element simulation, according to an embodiment of this application. Figure 2 A schematic diagram of a three-dimensional model of the screw and barrel after mating, constructed using Solidworks software according to a specific embodiment of this application; Figure 3 This is a cross-sectional view of a three-dimensional model of a screw and barrel according to a specific embodiment of this application; Figure 4 This is a contour map of the model velocity amplitude according to a specific embodiment of this application; Figure 5 This is a contour map of static pressure of a model according to a specific embodiment of this application; Figure 6 This is a static temperature distribution cloud map of the longitudinal section of a model according to a specific embodiment of this application; Figure 7 This is a static temperature distribution cloud map of a model cross-section according to a specific embodiment of this application; Figure 8This is a contour map of the internal viscosity coefficient of a model according to a specific embodiment of this application; Figure 9 This is a cloud map showing the velocity distribution of polypropylene fluid in a model of a specific embodiment of this application; Figure 10 This is a schematic diagram of a single-screw extrusion performance optimization device based on finite element simulation provided in an embodiment of this application; Figure 11 This is a schematic diagram of the structure of an electronic device provided according to an embodiment of this application. Detailed Implementation

[0026] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0027] The following describes a method and apparatus for optimizing the performance of a single-screw extrusion based on finite element simulation, according to embodiments of this application, with reference to the accompanying drawings. Addressing the issues mentioned in the background section where related technologies only consider the influence of screw speed or local thread structure, resulting in a limited analytical dimension and an inability to comprehensively reflect the flow patterns under the interaction of multiple factors, thus reducing the accuracy of extrusion process simulation predictions and decreasing the reliability and engineering applicability of single-screw extrusion process analysis, this application provides a method for optimizing the performance of a single-screw extrusion based on finite element simulation. In this method, a pre-constructed three-dimensional assembly model of the single screw and barrel can be imported into finite element simulation software. First physical property parameters of the polypropylene fluid and second physical property parameters of the single screw and barrel are set and input into the target single-screw calculation model. The extrusion rate of the polypropylene fluid under the coupled effects of multiple sets of screw speeds and thread parameters is predicted until the extrusion rate meets the flow stability condition. The simulation results of the extrusion rate are then output, and the target variation law of the extrusion rate is analyzed to determine the target screw speed and target thread parameters of the single screw. This allows for synergistic optimization of the single-screw extrusion performance, effectively improving the reliability and engineering applicability of single-screw extrusion process analysis. This solves the problems in related technologies that only consider the influence of screw speed or local thread structure, resulting in a relatively singular analysis dimension, reduced accuracy of extrusion process simulation prediction, and reduced reliability and engineering applicability of single-screw extrusion process analysis.

[0028] Specifically, Figure 1 This is a schematic flowchart illustrating a single-screw extrusion performance optimization method based on finite element simulation, provided in an embodiment of this application.

[0029] like Figure 1As shown, the single-screw extrusion performance optimization method based on finite element simulation includes the following steps: In step S101, the pre-built three-dimensional assembly model of the single screw and barrel is imported into the finite element simulation software, and the first physical property parameters of the polypropylene fluid and the second physical property parameters of the single screw and barrel are set.

[0030] It is understood that embodiments of this application can import a pre-built three-dimensional assembly model of a single screw and barrel into finite element simulation software, for example, such as... Figure 2 As shown, a 3D assembly model of the single screw and barrel can be constructed using Solidworks software. The dimensions of the 3D assembly model must match the actual dimensions of the single screw and barrel samples. Then, the constructed model is exported as a Parasolid (.x_t) source file and imported into the finite element simulation software Ansys. Figure 3 The image shown is a cross-sectional view after importing the material into Ansys software, which is the material model required for simulation. Next, the first physical property parameters of the polypropylene fluid are set in the Material Designer module of Ansys software, and the second physical property parameters of the single screw and barrel are set to ensure that the model is consistent with the actual working conditions, effectively improving the accuracy and reliability of the simulation calculation.

[0031] It should be noted that the 3D assembly model of the single screw and barrel is built in SolidWorks, including the screw tail, feeding section, compression section, metering section, and screw head. Simulation can be performed without segmentation, which can greatly save processing costs and improve efficiency. The resulting source file is in Parasolid (.x_t) format. During the modeling process, it is necessary to ensure the geometric accuracy of the key wear areas of the screw and barrel. For complex structures, a simplification method can be adopted, removing non-critical features such as chamfers and fillets to improve computational efficiency.

[0032] For example, in this embodiment of the application, the model parameters can be set in the finite element simulation software Ansys. The screw is set to be a single screw, the total length of the screw is 2050mm, the effective length is 1830mm, the number of screw threads is 1, the outer diameter of the screw is 80mm, the depth of the auxiliary thread root diameter gradually changes from 3.5mm to 8.5mm and then to 4.5mm, the depth of the main thread root diameter gradually changes from 13mm to 4.5mm, the helix angle is 17°42′, and the corresponding gap between the barrel and the screw is 0.2mm.

[0033] This application targets virtual screws and barrels, eliminating the need to process physical samples and avoiding the material costs associated with multi-stage precision machining. In particular, it can reduce sample preparation costs by at least 90% for comparison scenarios involving multiple different solutions.

[0034] Optionally, in one embodiment of this application, the first physical property parameters of the polypropylene fluid and the second physical property parameters of the single screw and barrel are set, including: setting the density, zero-shear viscosity, specific heat capacity, thermal conductivity, power law exponent and relaxation time of the polypropylene fluid in finite element simulation software; and setting the density, yield strength, tensile strength, Poisson's ratio, coefficient of friction, shear modulus and elastic modulus of the single screw and barrel.

[0035] In actual implementation, the embodiments of this application can select the Fluent component, define the physical properties of the polypropylene fluid in the Material Designer module, including density, zero-shear viscosity, specific heat capacity, thermal conductivity, power law exponent, and relaxation time, and select the Carreau viscosity model to fully characterize its non-Newtonian rheological and heat transfer characteristics; then, set the density, yield strength, tensile strength, Poisson's ratio, friction coefficient, shear modulus, and elastic modulus of the single screw and its barrel to accurately match the mechanical properties of the component material; thereby significantly improving the realism and calculation accuracy of the simulation model, making the analysis results more consistent with actual extrusion conditions.

[0036] For example, in this embodiment of the application, material parameters can be set in the Material Designer module of the finite element simulation software Ansys. The material is polypropylene with a particle size of 3 mm, and the corresponding zero-shear viscosity is 27000 Pa·s, density is 0.91 g / cm³, specific heat capacity is 1851 J / (kg·K), thermal conductivity is 0.15 W / (m·K), power law exponent is 0.4, relaxation time is 4 s, and the Carreau viscosity model is selected.

[0037] Secondly, 38CrMoAlA steel was selected for the materials of the single screw and barrel, with the following physical properties: density 7650kg / m³, Poisson's ratio 0.3, elastic modulus 212GPa, yield strength 835MPa, tensile strength 980MPa, friction coefficient 0.6, and shear modulus 80GPa.

[0038] In step S102, the first physical property parameter and the second physical property parameter are input into the target single screw calculation model to predict the extrusion rate of polypropylene fluid under the coupling effect of multiple sets of screw speed and thread parameters until the extrusion rate meets the preset flow stability condition, and the extrusion rate simulation result is output.

[0039] In this embodiment, the target single-screw calculation model is used to describe the hydrodynamic behavior between polypropylene granules and the screw, and to characterize the influence of the single screw on the polypropylene fluid extrusion rate. The screw speed can be adjusted up and down according to the extrusion rate and extrusion effect, so that the output is uniform and meets the requirements. Therefore, the preset flow stability conditions can be set by relevant technical personnel, and are not specifically limited here.

[0040] It is understood that the embodiments of this application can input the configured first physical property parameters of polypropylene fluid and the second physical property parameters of screw and barrel into the target single screw calculation model. Through the coupled simulation of multiple sets of screw speed and thread parameters, the extrusion rate of polypropylene fluid is iteratively calculated, and the change of extrusion rate is continuously monitored until a certain flow stability condition is met. Finally, a stable and reliable extrusion rate simulation result is output, thereby realizing accurate prediction of extrusion rate under multi-parameter coupling, significantly improving simulation efficiency and result reliability.

[0041] It should be noted that the zero-shear viscosity of polypropylene fluid is one of the key parameters determining melt flowability and extrusion rate. The higher the zero-shear viscosity, the lower the extrusion rate is usually. However, its effect needs to be analyzed in conjunction with shear thinning characteristics, screw structure, and thermal-fluid coupling effect. Screw speed is the dominant process parameter controlling the extrusion rate, and its influence has staged and nonlinear characteristics. Screw structure parameters directly determine the extrusion rate and its stability by changing the coupling relationship between drag flow and pressure flow.

[0042] Optionally, in one embodiment of this application, predicting the extrusion rate of polypropylene fluid under the coupled action of multiple sets of screw speeds and thread parameters until the extrusion rate meets the preset flow stability condition, and outputting the extrusion rate simulation result, includes: setting the inlet boundary conditions and initial motion direction of the polypropylene fluid, wherein the inlet normal and tangential stresses of the polypropylene fluid are both set to zero, and setting multiple sets of screw speeds and thread parameters; inputting the inlet boundary conditions, initial motion direction, and multiple sets of screw speeds and thread parameters into the target single-screw calculation model, using the target single-screw calculation model to iteratively solve, and calculating the extrusion rate of polypropylene fluid under the action of each set of screw speeds and thread parameters; continuously acquiring the extrusion rate of polypropylene fluid in the simulation calculation until the extrusion rate of polypropylene fluid corresponding to each set of screw speeds and thread parameters meets the preset flow stability condition, and outputting the extrusion rate simulation result.

[0043] In this embodiment, the target single screw calculation model can be the constitutive equation BirdCarreau model. After setting the constitutive model parameters, the viscosity field iteration adopts the Picard algorithm, and the discrete equation system is solved by the implicit Euler method to simulate the hydrodynamic behavior between polypropylene granules and the screw, and to analyze the influence of the single screw on the polypropylene fluid extrusion rate.

[0044] For example, in this embodiment, simulation conditions can be set, defining the inlet normal and tangential stresses as zero; the feed rate as 200 kg / h; the screw speed as 20 r / min; the wall surface as non-slip condition; the barrel speed as 0; the barrel as heated to 200°C; the time step as 20%; the total simulation time as ≥25s; and the simulation engine as CPU and GPU accelerated calculation, which can greatly improve computational efficiency. Since excessive feed may increase computational load, this process needs to balance computational accuracy and efficiency. The initial movement direction of the polypropylene particles needs to be set according to the coordinate system. After other parameters are set, the screw speed is set, which should be within the range (4-30 r / min). In this case, it is set to 20 r / min. Excessive speed will cause wear on the screw and barrel, and also cause the polypropylene output to become thinner. The speed can be adjusted up and down according to the extrusion rate and extrusion effect, aiming for uniform output and meeting requirements.

[0045] Next, in this embodiment, multiple sets of screw speeds and thread parameters can be configured. The above-mentioned boundary conditions, motion directions, and parameter combinations are input into the target single screw calculation model. The extrusion rate corresponding to each set of parameters is obtained through iterative solution. The extrusion rate change during the simulation process is monitored in real time until the extrusion rate fluctuation tends to be stable and meets the convergence and stability conditions. The final simulation results are then output, which can ensure that the flow field calculation is fully converged and significantly improve the stability and accuracy of the extrusion rate prediction.

[0046] In step S103, based on the extrusion rate simulation results, the target variation law of extrusion rate under the coupled effect of multiple screw speeds and thread parameters is analyzed, and the target screw speed and target thread parameters of a single screw are determined according to the target variation law, so as to perform synergistic optimization of the extrusion performance of a single screw.

[0047] In this embodiment, the target screw speed is the optimal screw speed; the target thread parameters are the optimal thread parameters.

[0048] It is understood that, based on the obtained extrusion rate simulation results, this application embodiment can analyze the target variation law of extrusion rate under the coupling effect of multiple sets of screw speed and thread parameters, clarify the degree of influence of each parameter on the extrusion effect and the optimal range, and then screen and determine the optimal screw speed and optimal thread parameters, such as screw pitch, screw groove depth, compression ratio, etc., that make the extrusion process most stable and efficient. By comparing the distribution of velocity field, pressure field, temperature field and viscosity field under different parameter combinations, the optimal structural combination with high extrusion rate, stable flow and no local sudden change is selected, thereby realizing the overall synergistic optimization of single screw extrusion performance, quickly locating the optimal process and structural parameter combination, significantly improving extrusion efficiency and operational stability, and effectively reducing development costs and test cycle.

[0049] Optionally, in one embodiment of this application, the target screw speed and target thread parameters of a single screw are determined according to the target variation law to synergistically optimize the extrusion performance of the single screw. This includes: evaluating the screw speed stability, pressure stability, heat transfer stability, and flow stability corresponding to each group of screw speeds and thread parameters based on the target variation law, and generating a comprehensive evaluation result; and determining the target screw speed and target thread parameters of the single screw according to the comprehensive evaluation result to synergistically optimize the extrusion performance of the single screw.

[0050] In some embodiments, this application can evaluate the screw speed stability, pressure stability, heat transfer stability, and flow stability corresponding to each set of screw speeds and thread parameters based on the target variation law of the extrusion rate, combined with the simulated velocity field, pressure field, temperature field, and viscosity field distribution. A quantitative evaluation result is formed by comprehensively considering all indicators. Based on the comprehensive evaluation result, the optimal parameter combination is selected to determine the target screw speed and target thread parameters, achieving synergistic optimization of single-screw extrusion performance. This enables a comprehensive evaluation of multi-dimensional stability performance, significantly improving the scientific nature of parameter selection and the overall reliability of the extrusion process.

[0051] Optionally, in one embodiment of this application, based on the target variation law, the screw speed stability, pressure stability, heat transfer stability, and flow stability corresponding to each group of screw speeds and thread parameters are evaluated, including: based on the target variation law, obtaining the velocity amplitude contour map, static pressure contour map, longitudinal and cross-sectional static temperature distribution contour map, and viscosity coefficient contour map corresponding to each group of screw speeds and thread parameters; analyzing the velocity amplitude contour map, static pressure contour map, longitudinal and cross-sectional static temperature distribution contour map, and viscosity coefficient contour map to extract flow field distribution characteristics; and evaluating the screw speed stability, pressure stability, heat transfer stability, and flow stability corresponding to each group of screw speeds and thread parameters based on the flow field distribution characteristics.

[0052] As one possible approach, this application embodiment can, based on the target variation law, obtain contour maps of velocity amplitude, static pressure, longitudinal and cross-sectional static temperature distribution, and viscosity coefficient corresponding to each set of screw speed and thread parameters. This allows for a comprehensive analysis of the overall flow field distribution under different parameter combinations. By analyzing the uniformity of numerical distribution, gradient variation amplitude, and abrupt changes in local stress and velocity in various contour maps, the multidimensional flow field distribution characteristics of polypropylene melt during extrusion are accurately extracted. Based on the extracted key flow field characteristic indicators, the overall operating state, pressure bearing effect, heat transfer uniformity, and melt flow stability under different parameter combinations are systematically evaluated. This application embodiment combines multiple types of simulation contour maps for multi-dimensional comprehensive analysis, effectively improving the comprehensiveness and rationality of the evaluation of different structural and process parameter matching.

[0053] For example, in the following steps, the inlet normal and tangential stresses defined above are both zero; the feed rate is 200 kg / h; the screw speed is set to 20 r / min; the wall surface is subject to no slippage conditions; the barrel speed is 0; the barrel is heated to 200℃; the time step is set to 20%; the total simulation time is ≥25 s; after the simulation, the following data analysis is performed: like Figure 4 As shown, the velocity amplitude contour map illustrates the gradient change in velocity distribution, reflecting the "deceleration + disturbance" effect of the helical structure on the fluid. The fluid forms a helical trajectory along the guide of the helical component, and the color change of the trajectory (red at the entrance → green / blue in the helical section) is consistent with the decreasing velocity trend. Moreover, the velocity gradient is stable without any abrupt changes, which can be used to evaluate the screw rotational speed stability.

[0054] like Figure 5 As shown, the static pressure contour map shows that the static pressure along the flow channel of the entire screw (from the left inlet to the right outlet) exhibits a clear increasing trend. It gradually increases from the near-normal pressure (0 MPa) at the feed inlet, reaching a maximum value of 21.9 MPa at the end of the metering section (the connection point of the die head). This is a typical pressure distribution that shows a non-linear increasing trend along the screw axis, and the pressure gradient is stable without any drastic abrupt changes or negative pressure zones. Based on this, the pressure stability of the screw can be evaluated.

[0055] like Figure 6 As shown, the static temperature distribution cloud map of the longitudinal section shows a significant decreasing trend in the static temperature along the flow path (from the left inlet to the right outlet). The inlet section is red-orange (corresponding to about 200℃, the high temperature zone), gradually transitioning to green and blue as the fluid flows, and dropping to about 180℃ at the outlet section. The temperature gradient in the spiral component region changes continuously without any local temperature abrupt changes, reflecting the uniformity of heat transfer in the flow field. Based on this, the heat transfer stability of the screw can be evaluated.

[0056] like Figure 7 As shown, the cross-sectional static temperature distribution cloud map shows that the temperature decreases from the outside to the inside. The temperature of the outer barrel is higher than that of the screw. The heating process involves heat transfer from the barrel to the screw. The temperature gradient in the spiral component region does not have any local temperature abrupt changes, which reflects the uniformity of heat transfer in the flow field. Based on this, the heat transfer stability of the screw can be evaluated.

[0057] like Figure 8 The image shows a contour plot of the viscosity coefficient. Along the flow channel direction (from the left inlet to the right outlet), the viscosity coefficient shows a clear decreasing trend: the inlet section is reddish-orange, corresponding to a higher value (approximately 2.7 × 10⁻⁶). -4 kg / m·s); gradually transitioning to blue-green as the fluid flows, decreasing to a lower value (approximately 1×10) at the outlet section. -5The gradient change of the viscosity coefficient is consistent with the axial direction of the flow channel, with no local abrupt changes and good continuity of distribution, which can be used to evaluate the stability of fluid flow during extrusion.

[0058] like Figure 9 As shown, the fluid velocity distribution cloud map of polypropylene shows that the fluid velocity along the flow channel (from the left inlet to the right outlet) of the entire screw has a clear increasing trend. Starting from the feed inlet, the velocity gradually increases, and at the extruder at the end of the screw, the velocity can reach a maximum of 0.057 m / s.

[0059] Therefore, this application embodiment quantitatively and qualitatively analyzes the gradient changes, distribution uniformity, and presence of abrupt change regions in the velocity amplitude contour maps, static pressure contour maps, longitudinal and cross-sectional static temperature distribution contour maps, and viscosity coefficient contour maps to extract the flow field distribution characteristics of the velocity, pressure, temperature, and viscosity fields. Based on these flow field distribution characteristics, the rotational speed stability, pressure build-up stability, heat transfer uniformity, and melt flow stability corresponding to each set of parameters are evaluated. This allows for accurate multi-dimensional stability assessment based on multi-field contour maps, significantly improving the comprehensiveness, objectivity, and reliability of parameter evaluation.

[0060] In addition, this application also provides a comparative embodiment. The comparative embodiment differs from the embodiment of this application in that the comparative embodiment has a single screw with an outer diameter of 76mm, a secondary thread root diameter depth that gradually changes from 3.0mm to 8.0mm and then to 4.0mm, a main thread root diameter depth that gradually changes from 11mm to 4.0mm, and a helix angle of 30°12′. The comparative example sets the polypropylene particle size to 2.5 mm, corresponding to a zero-shear viscosity of 34000 Pa·s, a density of 0.92 g / cm³, a specific heat capacity of 1863 J / (kg·K), a thermal conductivity of 0.16 W / (m·K), and a relaxation time of 5 s; In the comparative example, the feed rate was set to 200 kg / h; due to the increase in the zero-shear viscosity of polypropylene, the screw speed was set to 25 r / min.

[0061] Based on the parameters changed in the above comparative embodiments, the maximum pressure can reach 23.6 MPa at the end of the metering section (where the head is connected), and the pressure gradient is stable without any drastic changes or negative pressure zones, and the screw pressure remains highly stable.

[0062] Secondly, the viscosity coefficient also shows a significant decreasing trend: the inlet section is reddish-orange, corresponding to a relatively high value (approximately 3.1 × 10⁻⁶). - 4 kg / m·s); gradually transitioning to blue-green as the fluid flows, decreasing to a lower value (approximately 1.2 × 10⁻⁶ kg / m·s) at the outlet section. -5The viscosity coefficient gradient changes in accordance with the flow channel axis, with no local abrupt changes and good distribution continuity, maintaining high stability of fluid flow during extrusion.

[0063] Furthermore, even with the increase in the zero-shear viscosity of polypropylene, the fluid velocity can still be effectively increased by increasing the rotation speed to 25 r / min, with the maximum velocity reaching 0.066 m / s at the extruder head at the end of the screw.

[0064] Therefore, as can be seen from the comparative examples, even when dealing with polypropylene with a higher zero-shear viscosity, the extrusion efficiency can be improved simply by optimizing the screw parameters, thereby optimizing the screw extrusion performance.

[0065] In summary, the embodiments of this application can directly and maximally reduce energy consumption. The entire process is simulated and calculated using Ansys software, eliminating the need for real raw materials, electricity, manpower, additional equipment, and cooling media. There is no resource waste throughout the process, and the virtual evaluation of screw structure and process parameters can be completed within a few days, compressing the new product development cycle from months to days. Furthermore, this application considers the coupling mechanism between screw thread size parameters and rotational speed, establishing a quantitative prediction method for extrusion rate, overcoming the limitations of existing single-factor analysis. Moreover, based on the simulation results and a multi-parameter optimization method, it achieves synergistic optimization of screw structure and process parameters, improving extrusion efficiency and reducing experimental costs.

[0066] The single-screw extrusion performance optimization method based on finite element simulation proposed in this application can import a pre-constructed three-dimensional assembly model of the single screw and barrel into finite element simulation software. First physical property parameters of the polypropylene fluid and second physical property parameters of the single screw and barrel are set and input into the target single-screw calculation model. The extrusion rate of the polypropylene fluid under the coupled effects of multiple sets of screw speeds and thread parameters is predicted until the extrusion rate meets the flow stability condition. The simulation results of the extrusion rate are then output, and the target variation law of the extrusion rate is analyzed to determine the target screw speed and target thread parameters of the single screw. This allows for synergistic optimization of the single-screw extrusion performance, effectively improving the reliability and engineering applicability of the single-screw extrusion process analysis. This solves the problems in related technologies where only the influence of screw speed or local thread structure is considered, resulting in a relatively singular analysis dimension, reduced accuracy of extrusion process simulation prediction, and decreased reliability and engineering applicability of single-screw extrusion process analysis.

[0067] Next, referring to the accompanying drawings, a single-screw extrusion performance optimization device based on finite element simulation is described according to an embodiment of this application.

[0068] Figure 10 This is a block diagram of a single-screw extrusion performance optimization device based on finite element simulation, according to an embodiment of this application.

[0069] like Figure 10 As shown, the single-screw extrusion performance optimization device 10 based on finite element simulation includes: a setting module 100, a simulation module 200, and an optimization module 300.

[0070] Specifically, module 100 is used to import the pre-built three-dimensional assembly model of the single screw and barrel into the finite element simulation software, and to set the first physical property parameters of the polypropylene fluid and the second physical property parameters of the single screw and barrel.

[0071] The simulation module 200 is used to input the first physical property parameter and the second physical property parameter into the target single screw calculation model, predict the extrusion rate of polypropylene fluid under the coupling effect of multiple sets of screw speed and thread parameters, until the extrusion rate meets the preset flow stability condition, and output the extrusion rate simulation result.

[0072] The optimization module 300 is used to analyze the target variation law of extrusion rate under the coupled effect of multiple screw speeds and thread parameters based on the extrusion rate simulation results, and to determine the target screw speed and target thread parameters of a single screw according to the target variation law, so as to perform synergistic optimization of the extrusion performance of a single screw.

[0073] Optionally, in one embodiment of this application, the setting module 100 includes: a first setting unit and a second setting unit.

[0074] The first setting unit is used to set the density, zero-shear viscosity, specific heat capacity, thermal conductivity, power law exponent, and relaxation time of polypropylene fluid in the finite element simulation software.

[0075] The second setting unit is used to set the density, yield strength, tensile strength, Poisson's ratio, friction coefficient, shear modulus, and elastic modulus of the single screw and barrel.

[0076] Optionally, in one embodiment of this application, the simulation module 200 includes: a third setting unit, a first calculation unit, and a second calculation unit.

[0077] The third setting unit is used to set the inlet boundary conditions and initial motion direction of the polypropylene fluid. The inlet normal and tangential stresses of the polypropylene fluid are both set to zero, and multiple sets of screw speeds and thread parameters are set.

[0078] The first calculation unit is used to input the inlet boundary conditions, initial motion direction, and multiple sets of screw speeds and thread parameters into the target single screw calculation model. The target single screw calculation model is used to iteratively solve the problem and calculate the extrusion rate of polypropylene fluid under the action of each set of screw speeds and thread parameters.

[0079] The second calculation unit is used to continuously acquire the extrusion rate of polypropylene fluid in the simulation calculation until the extrusion rate of polypropylene fluid corresponding to the screw speed and thread parameters of each group meets the preset flow stability condition, and outputs the extrusion rate simulation results.

[0080] Optionally, in one embodiment of this application, the optimization module 300 includes an evaluation unit and a determination unit.

[0081] The evaluation unit is used to evaluate the screw speed stability, pressure stability, heat transfer stability and flow stability corresponding to each group of screw speeds and thread parameters based on the target change law, and generate a comprehensive evaluation result.

[0082] The determination unit is used to determine the target screw speed and target thread parameters of a single screw based on the comprehensive evaluation results, so as to coordinately optimize the extrusion performance of the single screw.

[0083] Optionally, in one embodiment of this application, the evaluation unit includes: an acquisition subunit, an analysis subunit, and an evaluation subunit.

[0084] The acquisition sub-unit is used to acquire, based on the target change law, the velocity amplitude contour map, static pressure contour map, longitudinal and cross-sectional static temperature distribution contour map, and viscosity coefficient contour map corresponding to each group of screw speed and thread parameters.

[0085] The analysis sub-unit is used to analyze the velocity amplitude contour map, static pressure contour map, longitudinal and cross-sectional static temperature distribution contour map, and viscosity coefficient contour map to extract the flow field distribution characteristics.

[0086] The evaluation sub-unit is used to evaluate the screw speed stability, pressure stability, heat transfer stability, and flow stability of each group of screw speeds and thread parameters based on the flow field distribution characteristics.

[0087] It should be noted that the foregoing explanation of the embodiment of the single-screw extrusion performance optimization method based on finite element simulation also applies to the single-screw extrusion performance optimization device based on finite element simulation in this embodiment, and will not be repeated here.

[0088] The single-screw extrusion performance optimization device based on finite element simulation proposed in this application can import a pre-constructed three-dimensional assembly model of the single screw and barrel into finite element simulation software. First physical property parameters of the polypropylene fluid and second physical property parameters of the single screw and barrel are set and input into the target single-screw calculation model. The extrusion rate of the polypropylene fluid under the coupled effects of multiple sets of screw speeds and thread parameters is predicted until the extrusion rate meets the flow stability condition. The simulation results of the extrusion rate are then output, and the target variation law of the extrusion rate is analyzed to determine the target screw speed and target thread parameters of the single screw. This allows for synergistic optimization of the single-screw extrusion performance, effectively improving the reliability and engineering applicability of the single-screw extrusion process analysis. This solves the problems in related technologies where only the influence of screw speed or local thread structure is considered, resulting in a relatively singular analysis dimension, reduced accuracy of extrusion process simulation prediction, and decreased reliability and engineering applicability of single-screw extrusion process analysis.

[0089] Figure 11 A schematic diagram of the structure of an electronic device provided in an embodiment of this application. The electronic device may include: The memory 1101, the processor 1102, and the computer program stored on the memory 1101 and executable on the processor 1102.

[0090] When the processor 1102 executes the program, it implements the single-screw extrusion performance optimization method based on finite element simulation provided in the above embodiments.

[0091] Furthermore, electronic devices also include: Communication interface 1103 is used for communication between memory 1101 and processor 1102.

[0092] The memory 1101 is used to store computer programs that can run on the processor 1102.

[0093] The memory 1101 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage.

[0094] If the memory 1101, processor 1102, and communication interface 1103 are implemented independently, then the communication interface 1103, memory 1101, and processor 1102 can be interconnected via a bus to complete communication between them. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. The bus can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 11 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0095] Optionally, in a specific implementation, if the memory 1101, processor 1102, and communication interface 1103 are integrated on a single chip, then the memory 1101, processor 1102, and communication interface 1103 can communicate with each other through an internal interface.

[0096] The processor 1102 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of this application.

[0097] This embodiment also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described single-screw extrusion performance optimization method based on finite element simulation.

[0098] This embodiment also provides a computer program product, including a computer program that, when executed, is used to implement the above-described single-screw extrusion performance optimization method based on finite element simulation.

[0099] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0100] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0101] Any process or method described in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or N executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0102] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0103] It should be understood that the various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0104] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0105] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0106] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

Claims

1. A method for optimizing the performance of a single-screw extrusion based on finite element simulation, characterized in that, Includes the following steps: The pre-built three-dimensional assembly model of the single screw and barrel is imported into the finite element simulation software, and the first physical property parameters of the polypropylene fluid and the second physical property parameters of the single screw and barrel are set. The first physical property parameter and the second physical property parameter are input into the target single screw calculation model to predict the extrusion rate of the polypropylene fluid under the coupling effect of multiple sets of screw speed and thread parameters until the extrusion rate meets the preset flow stability condition, and the extrusion rate simulation result is output. Based on the extrusion rate simulation results, the target variation law of the extrusion rate under the coupled effect of the multiple sets of screw speeds and thread parameters is analyzed, and the target screw speed and target thread parameters of the single screw are determined according to the target variation law, so as to synergistically optimize the extrusion performance of the single screw.

2. The method according to claim 1, characterized in that, The setting of the first physical property parameters of the polypropylene fluid and the second physical property parameters of the single screw and barrel includes: In the finite element simulation software, the density, zero-shear viscosity, specific heat capacity, thermal conductivity, power law exponent, and relaxation time of the polypropylene fluid are set. The density, yield strength, tensile strength, Poisson's ratio, coefficient of friction, shear modulus, and elastic modulus of the single screw and barrel are set.

3. The method according to claim 1, characterized in that, The extrusion rate of the polypropylene fluid is predicted under the coupled effect of multiple screw speeds and thread parameters until the extrusion rate meets the preset flow stability condition. The simulation results of the extrusion rate are then output, including: The inlet boundary conditions and initial direction of motion of the polypropylene fluid are set, wherein the inlet normal and tangential stresses of the polypropylene fluid are both set to zero, and multiple sets of screw speeds and thread parameters are set. The inlet boundary conditions, initial motion direction, and multiple sets of screw speeds and thread parameters are input into the target single screw calculation model. The target single screw calculation model is used to iteratively solve the problem and calculate the extrusion rate of the polypropylene fluid under the action of each set of screw speeds and thread parameters. The extrusion rate of the polypropylene fluid in the simulation is continuously acquired until the extrusion rate of the polypropylene fluid corresponding to the screw speed and thread parameters of each group meets the preset flow stability condition, and the extrusion rate simulation result is output.

4. The method according to claim 1, characterized in that, The step of determining the target screw speed and target thread parameters of the single screw based on the target variation law, in order to synergistically optimize the extrusion performance of the single screw, includes: Based on the aforementioned target variation patterns, the screw speed stability, pressure stability, heat transfer stability, and flow stability corresponding to the screw speed and thread parameters of each group are evaluated respectively, and a comprehensive evaluation result is generated. Based on the comprehensive evaluation results, the target screw speed and target thread parameters of the single screw are determined to optimize the extrusion performance of the single screw in a coordinated manner.

5. The method according to claim 4, characterized in that, Based on the target variation pattern, the stability of screw speed, pressure, heat transfer, and flow corresponding to each group of screw speeds and thread parameters are evaluated, including: Based on the target change pattern, the velocity amplitude contour map, static pressure contour map, longitudinal and cross-sectional static temperature distribution contour map, and viscosity coefficient contour map corresponding to each group of screw speed and thread parameters were obtained respectively. The velocity amplitude contour map, the static pressure contour map, the longitudinal and cross-sectional static temperature distribution contour maps, and the viscosity coefficient contour map are analyzed respectively to extract the flow field distribution characteristics. Based on the aforementioned flow field distribution characteristics, the screw speed stability, pressure stability, heat transfer stability, and flow stability corresponding to each group of screw speeds and thread parameters are evaluated respectively.

6. A single-screw extrusion performance optimization device based on finite element simulation, characterized in that, include: The configuration module is used to import the pre-built three-dimensional assembly model of the single screw and barrel into the finite element simulation software, and to set the first physical property parameters of the polypropylene fluid and the second physical property parameters of the single screw and barrel. The simulation module is used to input the first physical property parameter and the second physical property parameter into the target single screw calculation model, predict the extrusion rate of the polypropylene fluid under the coupled action of multiple sets of screw speed and thread parameters, until the extrusion rate meets the preset flow stability condition, and output the extrusion rate simulation result; The optimization module is used to analyze the target variation law of the extrusion rate under the coupled effect of the multiple sets of screw speeds and thread parameters based on the extrusion rate simulation results, and to determine the target screw speed and target thread parameters of the single screw according to the target variation law, so as to perform synergistic optimization of the extrusion performance of the single screw.

7. The apparatus according to claim 6, characterized in that, The settings module includes: The first setting unit is used to set the density, zero-shear viscosity, specific heat capacity, thermal conductivity, power law exponent, and relaxation time of the polypropylene fluid in the finite element simulation software. The second setting unit is used to set the density, yield strength, tensile strength, Poisson's ratio, friction coefficient, shear modulus, and elastic modulus of the single screw and barrel.

8. An electronic device, characterized in that, include: The memory, the processor, and the computer program stored in the memory and capable of running on the processor, the processor executing the program to implement the single-screw extrusion performance optimization method based on finite element simulation as described in any one of claims 1-5.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, The program is executed by the processor to implement the single-screw extrusion performance optimization method based on finite element simulation as described in any one of claims 1-5.

10. A computer program product, comprising a computer program, characterized in that, The computer program is executed by a processor to implement the single-screw extrusion performance optimization method based on finite element simulation as described in any one of claims 1-5.

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