Preparation method of thin-wall pipe, electronic equipment and computer readable storage medium
By establishing and optimizing the pipe model, simulating and adjusting the polymer flow, the problem of thin-walled pipe preparation accuracy and reliability is solved, and thin-walled pipe preparation with high precision and high reliability is achieved.
Patent Information
- Application Number
- CN202411589413.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-08
- Publication Date
- 2025-02-18
AI Technical Summary
The prior art is difficult to produce thin-walled pipes with accurate dimensions, resulting in low production accuracy and poor product reliability.
By establishing a pipe model for preparing thin-walled pipes, the flow of polymers in the pipe model is simulated, and the parameters and extrusion parameters of the pipe model are optimized to ensure uniform and stable polymer flow.
The preparation accuracy and product reliability of thin-walled pipes are improved, ensuring that the prepared thin-walled pipes meet design requirements and have high consistency.
Smart Images
Figure CN119475899A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of pipe preparation, and in particular to a method for preparing a thin-wall pipe, an electronic device and a computer-readable storage medium. Background Art
[0002] In the prior art, with the growth of the minimally invasive surgery market, the demand for high-precision and high-performance thin-walled tubes is also increasing. However, the existing extrusion system is difficult to produce thin-walled tubes with precise dimensions, and the preparation accuracy is low, resulting in poor product reliability of the produced thin-walled tubes. Summary of the invention
[0003] The main technical problem solved by the present application is to provide a method for preparing a thin-walled tube, an electronic device and a computer-readable storage medium, which can improve the preparation accuracy of the thin-walled tube and improve the product reliability of the prepared thin-walled tube.
[0004] In order to solve the above technical problems, a technical solution adopted in the present application is to provide a method for preparing a thin-walled tube, the method comprising:
[0005] Establish a tube model for a tube mold used to prepare thin-walled tubes;
[0006] Using the tube model to simulate the flow of the polymer in the tube model, and optimizing the parameters of the tube model according to the flow of the polymer in the tube model;
[0007] Simulating extruding the polymer into the tube model using initial extrusion parameters, and simulating pulling the polymer out of the tube model using initial pulling parameters to obtain a test tube;
[0008] According to the test pipe, optimizing the initial extrusion parameters and the initial traction parameters to obtain target extrusion parameters and target traction parameters;
[0009] The thin-walled tube is prepared according to the target extrusion parameters, the target pulling parameters and the tube model.
[0010] To solve the above technical problems, the present application also provides a technical solution: an electronic device is provided, the electronic device comprising a processor and a memory, the processor is coupled to the memory, the memory stores program data, and the processor implements the steps in any one of the above methods by executing the program data in the memory.
[0011] To solve the above technical problems, the present application also provides a technical solution: providing a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and the computer program can be executed by a processor to implement the steps in any of the above methods.
[0012] Beneficial effects: By establishing a tube model for preparing thin-walled tubes, the present application can accurately define the geometric shape and size of the tube model to ensure that the prepared thin-walled tube meets the design requirements. At the same time, by using simulation technology to optimize the parameters of the tube model, it can ensure that the flow of the polymer in the tube model is more uniform and stable, thereby improving the consistency of the prepared thin-walled tube and improving the product reliability of the prepared thin-walled tube. BRIEF DESCRIPTION OF THE DRAWINGS
[0013] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them:
[0014] Figure 1 A flow chart of a method for preparing a thin-walled tube provided in one embodiment of the present application;
[0015] Figure 2 A schematic diagram of a curve of rheological properties of a polymer at different temperatures and shear rates provided in one embodiment of the present application;
[0016] Figure 3 A schematic diagram of the structure of a pipe model provided in one embodiment of the present application;
[0017] Figure 4 This is a schematic diagram of the structure of an embodiment of an electronic device of the present application;
[0018] Figure 5 This is a schematic diagram of the structure of another embodiment of the electronic device of the present application;
[0019] Figure 6 This is a schematic diagram of the structure of an embodiment of a computer-readable storage medium of the present application. DETAILED DESCRIPTION
[0020] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.
[0021] The terms "first", "second", "third" in this application are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of indicated technical features. Thus, the features defined as "first", "second", "third" can expressly or implicitly include at least one of the features. In the description of this application, the meaning of "multiple" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined. In the embodiments of this application, all directional indications (such as up, down, left, right, front, back...) are only used to explain the relative position relationship, movement, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication also changes accordingly. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the steps or units listed, but optionally also includes steps or units that are not listed, or optionally also includes other steps or units inherent to these processes, methods, products or devices.
[0022] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.
[0023] See also Figure 1 In one embodiment of the present application, a method for preparing a thin-walled tube is provided. In this embodiment, the method for preparing a thin-walled tube is used to prepare a thin-walled tube with a wall thickness of less than 150 μm. The components used to prepare the thin-walled tube include a screw extruder, a vacuum tank, an air injector, a tractor, a cooling element, a cutter, and a conveyor.
[0024] Specifically, the screw extruder heats, plasticizes and extrude the polymer used to prepare the thin-walled tube into a molten thin-walled tube. The vacuum tank is used to remove gas and volatiles in the polymer during the extrusion process to ensure the compactness and uniformity of the inside of the manufactured thin-walled tube. The air injector is used to inject air into the polymer during the extrusion process to form the required wall thickness and shape. The tractor is used to pull the extruded polymer out of the screw extruder to ensure the continuity and stability of the prepared thin-walled tube. The cooling piece is used to quickly cool the extruded polymer so that it solidifies and forms into the required thin-walled tube and maintains the required shape and size. The cutter is used to cut the continuously extruded thin-walled tube into the required length, and the conveyor is used to transport the cut thin-walled tube to the next process or storage area.
[0025] Among them, the components for preparing thin-walled pipes also include a pipe mold, which is usually arranged at the output end of the screw extruder and is used to shape the extruded molten polymer to form the desired thin-walled pipe shape and size. The present application controls the inner and outer diameters and ovality of the prepared thin-walled pipe by adjusting the parameters of the pipe mold and the main parameters in the extrusion process, such as the screw speed (mass flow rate), the traction speed, the air pressure applied to the pipe mold by the air injector, and the distance between the cooling element and the end of the pipe mold, so as to achieve the preparation of thin-walled pipes with a wall thickness of less than 150 μm.
[0026] Please continue reading Figure 1 Specifically, the method includes:
[0027] S100: Establishing a tube model of a tube mold for preparing a thin-wall tube.
[0028] Among them, a pipe model is established according to the required thin-wall pipe specifications (such as diameter, wall thickness, length, etc.), including setting geometric parameters of the pipe model, such as inner and outer diameters, wall thickness, shape, etc.
[0029] S110: simulating the flow of the polymer in the pipe model using the pipe model, and optimizing the parameters of the pipe model according to the flow of the polymer in the pipe model.
[0030] Specifically, fluid dynamics simulation software (such as ANSYS Fluent, COMSOL Multiphysics, etc.) can be used for simulation. After the geometric parameters of the tube model and the material properties of the polymer are input into the simulation software, the simulation is run to observe the flow of the polymer in the tube model. The simulation results are analyzed and the parameters of the tube model, such as wall thickness, shape, inlet and outlet design, are adjusted according to the simulation results to optimize the flow characteristics, thereby ensuring that the flow of the polymer in the tube model is more uniform and stable, and improving the quality and performance of the prepared thin-walled tube.
[0031] S120: Simulate extruding the polymer into the tube model using initial extrusion parameters, and simulate pulling the polymer out of the tube model using initial pulling parameters to obtain a test tube.
[0032] Specifically, after setting the initial extrusion parameters (such as extrusion speed, temperature, pressure, etc.) and traction parameters (such as traction speed, tension, etc.), use simulation software to simulate the process of the polymer being extruded into the tube model according to the initial extrusion parameters, and observe the flow of the polymer. Then simulate the process of the polymer being pulled out of the tube model according to the initial traction parameters, and observe the forming of the thin-walled tube. Based on the simulation results, generate a virtual test tube and record its geometric dimensions and physical properties. By simulating the extrusion and traction process, potential problems in the preparation process can be discovered in advance, thereby optimizing the preparation parameters and reducing the number of trial and error and costs in actual preparation.
[0033] S130: Optimizing initial extrusion parameters and initial traction parameters according to the test pipe to obtain target extrusion parameters and target traction parameters.
[0034] Specifically, the generated test pipe is evaluated, and problems existing in the test pipe are identified based on the evaluation results, such as uneven wall thickness, distorted shape, poor mechanical properties, etc. Based on the identified problems, the initial extrusion parameters and pulling parameters are adjusted, such as adjusting the extrusion speed, temperature, pressure, and pulling speed and tension, etc.
[0035] It is understandable that the simulation can be performed again based on the adjusted initial extrusion parameters and pulling parameters to verify whether the adjusted extrusion parameters and pulling parameters solve the existing problems. Thus, through multiple iterations and optimizations, the final target extrusion parameters and target pulling parameters are determined to ensure that the prepared thin-walled tube has the best performance and quality.
[0036] S140: preparing a thin-walled tube according to target extrusion parameters, target pulling parameters and a tube model.
[0037] The target extrusion parameters and target traction parameters are optimized for components used to prepare thin-walled pipes, such as screw extruders and tractors. The parameters of the pipe model are optimized for the pipe mold, so that by using the optimized parameters and the precise pipe mold, high-quality thin-walled pipes can be prepared efficiently and stably, improving production efficiency and product quality.
[0038] In the above preparation method, by establishing a tube model for preparing thin-walled tubes, the geometric shape and size of the tube model can be accurately defined to ensure that the prepared thin-walled tube meets the design requirements. At the same time, by using simulation technology to optimize the parameters of the tube model, it can be ensured that the flow of the polymer in the tube model is more uniform and stable, thereby improving the consistency of the prepared thin-walled tube and improving the product reliability of the prepared thin-walled tube.
[0039] Please also read Figure 1 and Figure 2 In one embodiment, step S110 includes:
[0040] S111: Obtain rheological properties of the polymer at different temperatures and shear rates to obtain multiple sets of first rheological data.
[0041] In one embodiment, the polymer includes polyether block amide and barium sulfate, wherein the content of barium sulfate in the polymer is 20 wt %. Adding barium sulfate to the polymer can improve the radiopacity of the polymer, making it easier to detect in imaging technologies such as X-rays.
[0042] In one embodiment, the material model of the polyether block amide is Pebax 4033SA MED particles.
[0043] Specifically, a rheometer (such as a rotational rheometer, a capillary rheometer, etc.) is used to measure the rheological properties of the polymer at different temperatures and shear rates. The experimental data of the rheological properties are recorded, including parameters such as temperature, shear rate, shear stress, and viscosity. After analyzing the experimental data, a rheological curve is drawn to obtain multiple sets of first rheological data. Through experimental measurement and data analysis, the rheological properties of the polymer under different conditions can be accurately obtained, providing reliable data support for subsequent simulations.
[0044] See also Figure 2 , the results of rheological analysis show that the viscosity of the polymer changes with shear rate and temperature. The shear viscosity decreases with increasing shear rate, which is manifested as shear thinning behavior. In particular, when the shear rate exceeds 100 1 / s, the viscosity in all temperature ranges decreases rapidly. At the same shear rate, the shear viscosity decreases with increasing temperature. These rheological data are useful for optimizing the design of the extrusion system to ensure that the polymer flows evenly under the extrusion pressure, thereby minimizing the expansion of the pipe die.
[0045] S112: simulating the flow of the polymer in the pipe model, and obtaining the flow pattern, velocity distribution, and pressure distribution of the polymer in the pipe model according to the first rheological data and the parameters of the pipe model.
[0046] Specifically, fluid dynamics simulation software (such as ANSYS Fluent, COMSOL Multiphysics, etc.) is used for simulation, and the parameters of the pipe model and the first rheological data of the polymer are input into the simulation software. The flow of the polymer in the pipe model is observed and recorded, including the flow pattern, velocity distribution, pressure distribution, etc. The flow of the polymer in the pipe model can be intuitively observed through simulation, and potential problems such as uneven flow and bubble formation can be identified.
[0047] S113: Optimize parameters of the pipe model according to the flow pattern, velocity distribution, and pressure distribution.
[0048] Specifically, the flow problems of the polymer in the pipe model, such as uneven flow and large pressure fluctuations, are identified based on the simulation results, and the parameters of the pipe model, such as wall thickness, shape, inlet and outlet design, are adjusted.
[0049] It is understandable that during the optimization process, simulation can be performed again to verify whether the adjusted parameters of the pipe model solve the existing problems. Through multiple iterations and optimizations, the optimized pipe model parameters are finally determined to ensure that the flow of the polymer in the pipe model is more uniform and stable, and the quality and performance of the thin-walled pipe are improved.
[0050] See also Figure 3 In one embodiment, the tube model is provided with an internal flow area AA and a free surface area BB, wherein the internal flow area AA is used to simulate extruding the polymer into the tube model with initial extrusion parameters and simulating the flow of the polymer in the tube model, and the free surface area BB is used to simulate pulling the polymer out of the tube model with initial traction parameters.
[0051] The internal flow area AA is used to simulate the flow of polymer in the pipe model, especially during the extrusion process. The internal flow area AA is usually designed as a three-dimensional space consistent with the internal shape of the pipe model, including parameters such as inner diameter, outer diameter and wall thickness.
[0052] The free surface area BB is used to simulate the flow of polymer out of the tube model under the action of external forces, especially during the pulling process. The free surface area BB is usually designed as the outer surface of the tube model, including the outer diameter and shape of the tube.
[0053] In this embodiment, the length of the free surface area BB is set to 10 mm.
[0054] Specifically, the internal flow area AA and the free surface area BB may be meshed using a finite element method (FEM) or a finite volume method (FVM) to ensure mesh uniformity and resolution.
[0055] Please continue reading Figure 3 In one embodiment, step S120 includes:
[0056] S121: Simulate extruding a polymer into the internal flow area AA using initial extrusion parameters, and obtain rheological properties of the polymer in the internal flow area AA to obtain multiple sets of second rheological data, wherein the second rheological data include a first rheological velocity and a rheological pressure.
[0057] Specifically, the set initial extrusion parameters include extrusion speed, extrusion temperature and extrusion pressure. Among them, the extrusion speed is to set the speed of the polymer entering the pipe model from the screw extruder, the extrusion temperature is to set the temperature of the polymer during the extrusion process, and the extrusion pressure is to set the inlet pressure of the polymer during the extrusion process.
[0058] In this embodiment, the extrusion speed is set to 0.108 g / s.
[0059] Step S121 specifically includes the following:
[0060] Input parameters: Input the parameters of the internal flow area AA, such as inner diameter, outer diameter and wall thickness; set the boundary conditions of the inlet and outlet, such as inlet flow rate, temperature and pressure, outlet pressure or velocity; input the physical and chemical properties of the polymer, such as melting temperature, viscosity, density, etc.
[0061] Run the simulation: Use fluid dynamics simulation software (such as ANSYS Fluent, COMSOL Multiphysics, etc.) to perform simulation and mesh the internal flow area AA to ensure the uniformity and resolution of the mesh.
[0062] Result analysis: Record the rheological properties of the polymer in the internal flow area AA, including the first rheological velocity and rheological pressure, and obtain multiple sets of second rheological data, each set of data including different first rheological velocities and rheological pressures. Observe the flow pattern of the polymer in the internal flow area AA, such as the flow path, velocity distribution, and pressure distribution, and identify potential problems, such as uneven flow and bubble formation.
[0063] In this embodiment, as the first rheological speed increases from 4 rpm to 11 rpm, the inner diameter and the outer diameter of the test pipe increase linearly, and the ovality remains between 0.01-0.06.
[0064] In this embodiment, as the rheological gas pressure increases from 0.19 kPa to 1.96 kPa, the inner diameter and outer diameter of the test pipe increase significantly, and the ovality gradually improves.
[0065] S122: Simulate using initial traction parameters to pull the polymer out of the internal flow area AA to obtain a test pipe, and obtain the rheological properties of the polymer in the free surface area BB to obtain multiple sets of third rheological data, wherein the third rheological data includes a second rheological velocity.
[0066] Specifically, the set initial pulling parameters include pulling speed and tension. The pulling speed is to set the speed at which the polymer is pulled out of the tube model. The tension is to set the tension of the polymer during the pulling process.
[0067] In this embodiment, as the pulling speed increases from 5.3 m / min to 9.3 m / min, the inner diameter and outer diameter of the test pipe decrease, and the wall thickness also decreases accordingly, but the ovality does not change much.
[0068] Step S122 specifically includes the following:
[0069] Input parameters: Input the parameters of the free surface area BB, such as outer diameter and shape; set the boundary conditions of the inlet and outlet, such as inlet velocity and temperature, outlet tension and velocity; input the physical and chemical properties of the polymer, such as melting temperature, viscosity, density, etc.
[0070] Run the simulation: Use fluid dynamics simulation software (such as ANSYS Fluent, COMSOL Multiphysics, etc.) to perform simulation and mesh the free surface area BB to ensure the uniformity and resolution of the mesh.
[0071] Result analysis: Record the rheological properties of the polymer in the free surface area BB, including the second rheological velocity. Obtain multiple sets of third rheological data, each set of data includes a different second rheological velocity. Observe the flow pattern of the polymer in the free surface area BB, such as flow path, velocity distribution, and pressure distribution, and identify potential problems, such as uneven wall thickness, shape distortion, etc.
[0072] According to the second rheological data and the third rheological data, the flow problem of the polymer in the inner flow area AA and the free surface area BB is identified, so that the parameters of the inner flow area AA, the parameters of the free surface area BB, the initial extrusion parameters and the pulling parameters are adjusted according to the flow problem.
[0073] It is understandable that after adjusting various parameters, simulation can be performed again to verify whether the adjusted parameters solve the existing problems. Through multiple iterations and optimizations, the optimized pipe model parameters and preparation parameters are finally determined to ensure that the prepared thin-walled pipe has uniform wall thickness, stable shape and excellent mechanical properties.
[0074] Please continue reading Figure 3 In one embodiment, step S121 includes: applying a no-slip condition in the inner flow area AA.
[0075] The no-slip condition means that at the interface where the fluid contacts the solid wall, the velocity of the fluid is equal to the velocity of the solid wall. In most cases, this means that the velocity of the fluid on the wall is zero. By setting the no-slip condition in the internal flow area AA, the flow behavior of the fluid near the wall can be described more accurately, avoiding errors caused by slip.
[0076] Please continue reading Figure 3 In one embodiment, step S120 further includes:
[0077] S123: Simulate the shaping of the test tube pulled out from the free surface area BB using initial cooling parameters, further obtain the rheological properties of the polymer in the free surface area BB, and obtain multiple sets of fourth rheological data, wherein the fourth rheological data include rheological distance.
[0078] Specifically, the set initial cooling parameters include cooling temperature, cooling speed and cooling time. Among them, cooling temperature is to set the temperature of the cooling medium, such as the temperature of cooling water. Cooling speed is to set the flow rate of the cooling medium, such as the flow rate of cooling water. Cooling time is to set the time of the cooling process.
[0079] Step S123 specifically includes the following:
[0080] Input parameters: Input the geometric parameters of the cooling system, such as the size and shape of the cooling water tank; set the inlet and outlet boundary conditions of the cooling medium, such as inlet temperature and flow rate, outlet temperature and flow rate; input the physical and chemical properties of the polymer, such as thermal conductivity, specific heat capacity, etc.
[0081] Run simulation: Use thermodynamic simulation software (such as ANSYS CFX, COMSOL Multiphysics, etc.) to perform simulation. Mesh the cooling system and test pipe to ensure the uniformity and resolution of the mesh.
[0082] Result analysis: Record the rheological properties of the polymer during the cooling process, including the rheological distance. Obtain multiple sets of fourth rheological data, each set of data includes a different rheological distance. Observe the temperature distribution of the polymer during the cooling process to ensure uniform cooling, evaluate the shaping effect of the test pipe after cooling, such as wall thickness uniformity, shape stability, etc., and identify potential problems, such as uneven cooling, shape distortion, etc.
[0083] In this embodiment, when the rheological distance is reduced from 30 mm to 10 mm, the inner diameter and outer diameter of the test pipe gradually decrease, and the ovality is slightly improved. When the distance exceeds 30 mm, the inner diameter and outer diameter increase slightly, and the ovality increases significantly.
[0084] In one embodiment, step S130 includes:
[0085] The size and ovality of the prepared test pipe are monitored by online measuring equipment and offline measuring equipment, and the initial extrusion parameters and the initial pulling parameters are optimized to obtain the target extrusion parameters and the target pulling parameters.
[0086] By using online and offline measuring equipment to monitor the size and ovality of the prepared test tube, the initial extrusion parameters and initial pulling parameters can be effectively optimized to ensure that the prepared thin-walled tube has uniform wall thickness, stable shape and excellent mechanical properties.
[0087] In one embodiment, the online measurement equipment includes any one or more of a laser rangefinder, an ultrasonic thickness gauge, and a visual inspection system, which are not limited here.
[0088] In one embodiment, the off-line measuring device includes any one or more of a vernier caliper, a micrometer, an ellipsometer, and an optical microscope, which are not limited here.
[0089] In practical applications, the data collected by online and offline measuring equipment can be collated to ensure data integrity and accuracy. The actual size and shape of the test pipe can be compared with the design requirements to identify the existing deviations. Based on the data comparison results, the problems in the test pipe can be identified, such as uneven wall thickness, excessive ovality, etc.
[0090] It is understood that the optimized parameters can be used for actual preparation to prepare new test pipes. Then the newly prepared test pipes are measured using online and offline measurement equipment and the data are recorded. The data of the newly prepared test pipes are compared with the previous test pipes to evaluate the optimization effect.
[0091] See also Figure 4 , Figure 4 1 is a schematic diagram of the structure of an embodiment of an electronic device 200 of the present application. The electronic device 200 includes a processor 210, a memory 220, and a communication circuit 230. The processor 210 is coupled to the memory 220 and the communication circuit 230 respectively. The memory 220 stores program data. The processor 210 implements the steps in any of the above implementation methods by executing the program data in the memory 220. The detailed steps can be found in the above implementation and will not be repeated here.
[0092] The electronic device 200 may be any device with algorithm processing capability, such as a computer or a mobile phone, and is not limited here.
[0093] See also Figure 5 ,in Figure 5 3 is a schematic diagram of another embodiment of the electronic device 300 of the present application. The electronic device 300 includes a building module 310, a first simulation module 320, a second simulation module 330, an optimization module 340 and a preparation module 350 which are connected in sequence.
[0094] The building module 310 is used to build a tube model of a tube mold for manufacturing a thin-walled tube.
[0095] The first simulation module 320 is used to simulate the flow of polymer in the pipe model using the pipe model, and optimize the parameters of the pipe model according to the flow of polymer in the pipe model.
[0096] The second simulation module 330 is used to simulate extruding the polymer into the pipe model using the initial extrusion parameters, and to simulate pulling the polymer out of the pipe model using the initial pulling parameters to obtain a test pipe.
[0097] The optimization module 340 is used to optimize the initial extrusion parameters and the initial traction parameters according to the test pipe to obtain the target extrusion parameters and the target traction parameters.
[0098] The preparation module 350 is used to prepare a thin-walled tube according to target extrusion parameters, target pulling parameters and a tube model.
[0099] The electronic device 300 can be any device with algorithm processing capabilities, such as a computer and a mobile phone, and is not limited here.
[0100] Among them, the electronic device implements the method steps in any of the above-mentioned implementation modes when working. The detailed steps can be found in the above-mentioned implementation modes and will not be repeated here.
[0101] See also Figure 6 The present application also provides a computer-readable storage medium 400, which stores a computer program 410. The computer program 410 can be executed by a processor to implement the steps in any of the above methods.
[0102] Among them, the computer-readable storage medium 400 can specifically be a device that can store the computer program 410, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, or it can also be a server that stores the computer program 410. The server can send the stored computer program 410 to other devices for execution, or it can also run the stored computer program 410 by itself.
[0103] The above are only implementation methods of the present application, and are not intended to limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.
Claims
1. A method for preparing a thin-walled tube, characterized in that: The method comprises: Establish a tube model for a tube mold used to prepare thin-walled tubes; Using the tube model to simulate the flow of the polymer in the tube model, and optimizing the parameters of the tube model according to the flow of the polymer in the tube model; Simulating extruding the polymer into the tube model using initial extrusion parameters, and simulating pulling the polymer out of the tube model using initial pulling parameters to obtain a test tube; According to the test pipe, optimizing the initial extrusion parameters and the initial traction parameters to obtain target extrusion parameters and target traction parameters; The thin-walled tube is prepared according to the target extrusion parameters, the target pulling parameters and the tube model.
2. The method according to claim 1, characterized in that The step of using the tube model to simulate the flow of the polymer in the tube model, and optimizing the parameters of the tube model according to the flow of the polymer in the tube model, comprises: Obtaining rheological properties of the polymer at different temperatures and shear rates to obtain multiple sets of first rheological data; Simulating the flow of the polymer in the tube model, and obtaining the flow pattern, velocity distribution, and pressure distribution of the polymer in the tube model according to the first rheological data and the parameters of the tube model; Parameters of the pipe model are optimized according to the flow pattern, the velocity distribution, and the pressure distribution.
3. The method according to claim 1, characterized in that The polymer comprises polyether block amide and barium sulfate, wherein the content of barium sulfate in the polymer is 20 wt %.
4. The method according to claim 1, characterized in that: The tube model is provided with an internal flow area and a free surface area, wherein the internal flow area is used to simulate extruding the polymer into the tube model using the initial extrusion parameters and simulating the flow of the polymer in the tube model, and the free surface area is used to simulate pulling the polymer out of the tube model using the initial traction parameters.
5. The method according to claim 4, characterized in that The steps of simulating extruding the polymer into the pipe model using initial extrusion parameters, and simulating pulling the polymer out of the pipe model using initial pulling parameters to obtain a test pipe include: Simulating extruding the polymer into the internal flow region using the initial extrusion parameters, and obtaining rheological properties of the polymer in the internal flow region to obtain multiple sets of second rheological data, wherein the second rheological data include a first rheological velocity and a rheological pressure; The test tube is obtained by simulating the use of initial traction parameters to pull the polymer out of the internal flow region, and the rheological properties of the polymer in the free surface region are obtained to obtain multiple sets of third rheological data, wherein the third rheological data include a second rheological velocity.
6. The method according to claim 5, characterized in that The step of simulating extruding the polymer into the internal flow region using the initial extrusion parameters and obtaining the rheological properties of the polymer in the internal flow region to obtain multiple sets of second rheological data includes: No-slip conditions are imposed within the inner flow region.
7. The method according to claim 5, characterized in that After the steps of simulating extruding the polymer into the tube model using initial extrusion parameters and simulating pulling the polymer out of the tube model using initial pulling parameters to obtain a test tube, the method further includes: The test tube pulled out from the free surface region is shaped by simulating initial cooling parameters, and the rheological properties of the polymer in the free surface region are further obtained to obtain multiple sets of fourth rheological data, wherein the fourth rheological data include rheological distance.
8. The method according to claim 1, characterized in that The step of optimizing the initial extrusion parameters and the initial traction parameters according to the test pipe to obtain target extrusion parameters and target traction parameters includes: The size and ovality of the prepared test pipe are monitored by online measuring equipment and offline measuring equipment, the initial extrusion parameters and the initial pulling parameters are optimized, and the target extrusion parameters and the target pulling parameters are obtained.
9. An electronic device, characterized in that: The electronic device includes a processor and a memory, the processor is coupled to the memory, program data is stored in the memory, and the processor implements the steps in the method according to any one of claims 1 to 8 by executing the program data in the memory.
10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and the computer program can be executed by a processor to implement the steps in the method according to any one of claims 1 to 8.