Extrusion process optimization effect quantification method, device and equipment and readable storage medium

Abstract

The invention discloses an extrusion process optimization effect quantification method, device and equipment and a readable storage medium. According to the method, the extrusion simulation result of each extrusion process relative to the extrusion blank is determined through finite element simulation, and then the optimization effect of the extrusion process for the shrinkage layering is quantified based on the extrusion simulation result, so that the effect of predicting the shrinkage layering reduction of the extrusion process is realized.

Description

Technical Field

[0001] The present application relates to the technical field of finite element analysis, and in particular to a method, device, equipment and computer-readable storage medium for quantifying the optimization effect of an extrusion process. Background Art

[0002] In the extrusion process for tubes and rods, shrinkage and delamination are inherent defects in the extruded product due to the forming mechanism. This defect can cause end-product failure during use, with serious adverse consequences. Typically, flaw detection or increased residual thickness are used to prevent defects from being passed on to the next process. However, this approach not only reduces material utilization but also increases production costs.

[0003] While shrinkage delamination cannot be completely eliminated, the proportion of this defect can be reduced through optimization of process parameters and tool structure. However, shrinkage delamination is closely related to metal flow during the extrusion process, and many factors affect metal flow. The coupling of these multiple factors makes metal flow analysis very complex. In reality, it is difficult to observe the changes occurring within the extrusion barrel, making it difficult to predict the effect of the extrusion process on reducing shrinkage delamination. Summary of the Invention

[0004] In order to solve the above technical problems, the present application provides a method, device, equipment and computer-readable storage medium for quantifying the optimization effect of an extrusion process.

[0005] In a first aspect, an embodiment of the present application provides a method for quantifying the effect of extrusion process optimization, the method comprising:

[0006] Execute the pre-processing process, including:

[0007] Import the mechanical and thermal properties of the extruded billet into the finite element simulation software;

[0008] Set the finite element simulation parameters and extrusion tool structure corresponding to each extrusion process and import them into the finite element simulation software;

[0009] Establish the geometric model corresponding to each extrusion process and import it into the finite element simulation software;

[0010] Meshing the extruded billet according to preset division rules in the finite element simulation software;

[0011] After the pre-processing process is completed, the finite element simulation software is run to perform finite element simulation on each extrusion process to obtain the simulation results of each extrusion process;

[0012] Based on the simulation results of each extrusion process, the quantitative value of the optimization effect of each extrusion process on tail-shrinkage delamination is determined.

[0013] In combination with the first aspect, in one embodiment, the mechanical performance parameters include flow stress and density; and the thermal performance parameters include thermal expansion coefficient, thermal conductivity and specific heat capacity.

[0014] In combination with the first aspect, in one embodiment, the finite element simulation parameters include extrusion action parameters, friction coefficient and heat conduction coefficient between the extruded billet and the extrusion tool, temperature of the extruded billet, and temperature of the extrusion tool.

[0015] In conjunction with the first aspect, in one embodiment, establishing a geometric model corresponding to each extrusion process and importing it into finite element simulation software includes:

[0016] According to the extrusion billet size, extrusion tool size and extrusion tool structure corresponding to each extrusion process, a geometric model is built and imported into the finite element simulation software.

[0017] In conjunction with the first aspect, in one embodiment, determining the quantitative value of the optimization effect of each extrusion process on shrinkage delamination based on the simulation results of each extrusion process includes:

[0018] For each extrusion process, the deformation value of the specific rheological grid at the i-th simulation step compared to the shape at the initial simulation step is determined based on the simulation results, where i is a preset value;

[0019] The deformation value is used as a quantitative value of the optimization effect of the extrusion process on tail shrinkage and delamination, among which the smaller the deformation value, the better the optimization effect.

[0020] In conjunction with the first aspect, in one embodiment, determining the quantitative value of the optimization effect of each extrusion process on shrinkage delamination based on the simulation results of each extrusion process includes:

[0021] For each extrusion process, the absolute value of the difference between the distance between two specific adjacent follower points at the i-th simulation step and the distance at the initial simulation step is determined based on the simulation results, where i is a preset value;

[0022] The absolute value is used as the quantitative value of the optimization effect of the extrusion process on tail shrinkage and delamination, where the smaller the absolute value, the better the optimization effect.

[0023] In conjunction with the first aspect, in one embodiment, after determining the quantitative value of the optimization effect of each extrusion process on shrinkage delamination based on the simulation results of each extrusion process, the method further includes:

[0024] The quantitative value of the optimization effect of each extrusion process on tail shrinkage and delamination is comprehensively analyzed to determine the extrusion process with the best optimization effect on tail shrinkage and delamination.

[0025] In a second aspect, an embodiment of the present application provides a device for quantifying the effect of extrusion process optimization, the device comprising:

[0026] The pre-processing module is used to execute the pre-processing process, including importing the mechanical and thermal performance parameters of the extruded billet into the finite element simulation software; setting the finite element simulation parameters and extrusion tool structure corresponding to each extrusion process and importing them into the finite element simulation software; establishing the geometric model corresponding to each extrusion process and importing it into the finite element simulation software; and meshing the extruded billet in the finite element simulation software according to the preset partitioning rules;

[0027] The simulation module is used to run the finite element simulation software after the pre-processing process is completed, so as to perform finite element simulation on each extrusion process and obtain the simulation results of each extrusion process;

[0028] The post-processing module is used to determine the quantitative value of the optimization effect of each extrusion process on tail shrinkage stratification based on the simulation results of each extrusion process.

[0029] In a third aspect, an embodiment of the present application provides an extrusion process optimization effect quantification device, which includes a processor, a memory, and an extrusion process optimization effect quantification program stored on the memory and executable by the processor, wherein when the extrusion process optimization effect quantification program is executed by the processor, the steps of the extrusion process optimization effect quantification method described in the first aspect are implemented.

[0030] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, on which a program for quantifying the effect of extrusion process optimization is stored. When the program for quantifying the effect of extrusion process optimization is executed by a processor, the steps of the method for quantifying the effect of extrusion process optimization as described in the first aspect are implemented.

[0031] The beneficial effects of the technical solutions provided in the embodiments of the present application include:

[0032] Finite element simulation is used to determine the extrusion simulation results of each extrusion process relative to the extruded billet, and then the optimization effect of the extrusion process on tail shrinkage and delamination is quantified based on the extrusion simulation results, thereby realizing the prediction of the effect of the extrusion process on reducing tail shrinkage and delamination. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 This is a flow chart of an embodiment of a method for quantifying the effect of extrusion process optimization of the present application;

[0034] Figure 2 Schematic diagram of the geometric model of the extrusion process;

[0035] Figure 3 Schematic diagram of rheological grid tracing;

[0036] Figure 4 This is a schematic diagram of tracking the moving point;

[0037] Figure 5 This is a functional module diagram of an embodiment of the device for quantifying the extrusion process optimization effect of the present application;

[0038] Figure 6 This is a schematic diagram of the hardware structure of the extrusion process optimization effect quantification device involved in the embodiment of the present application. DETAILED DESCRIPTION

[0039] In order to enable those skilled in the art to better understand the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0040] In order to make the objectives, technical solutions and advantages of this application clearer, the implementation methods of this application will be further described in detail below with reference to the accompanying drawings.

[0041] In a first aspect, an embodiment of the present application provides a method for quantifying the effect of extrusion process optimization.

[0042] In one embodiment, referring to Figure 1 , Figure 1 This is a flow chart of an embodiment of the method for quantifying the effect of extrusion process optimization in this application. Figure 1 As shown in Figure 2, the quantitative methods for extrusion process optimization effects include:

[0043] Step S10, executing the pre-processing process, step S10 specifically includes:

[0044] Step S101, importing the mechanical performance parameters and thermal performance parameters of the extruded billet into finite element simulation software;

[0045] In this embodiment, the extruded billet is a metal material, such as a copper alloy. Samples of the copper alloy are taken according to the sample requirements and sent for testing of mechanical and thermal properties. A material is then created in the material library of the finite element simulation software, and the material test results (i.e., mechanical and thermal properties) are entered and saved.

[0046] Furthermore, in one embodiment, the mechanical performance parameters include flow stress and density; and the thermal performance parameters include thermal expansion coefficient, thermal conductivity and specific heat capacity.

[0047] In this embodiment, considering that hot extrusion at high temperature is mainly plastic deformation, the amount of elastic deformation involved is very small and can be ignored, so there is no need to detect the elastic modulus and Poisson's ratio.

[0048] Step S102, setting the finite element simulation parameters and extrusion tool structure corresponding to each extrusion process and importing them into the finite element simulation software;

[0049] In this embodiment, corresponding finite element simulation parameters and extrusion tool structures are set according to the requirements of each extrusion process and imported into the finite element simulation software. The finite element simulation parameters include extrusion action parameters, the friction coefficient and heat transfer coefficient between the extrusion blank and the extrusion tool, the temperature of the extrusion blank, and the temperature of the extrusion tool. The extrusion action parameters refer to the speed and direction of the extrusion action.

[0050] The extrusion tool structure consists of an extrusion barrel, a combined extrusion die, an extrusion rod, an extrusion pad, and a piercing needle. The extrusion pad can be selected from three shapes: flat, concave, and convex. Optionally, three extrusion processes are provided, and the extrusion tool structures of the three extrusion processes differ only in the extrusion pad.

[0051] Step S103, establishing a geometric model corresponding to each extrusion process and importing it into finite element simulation software;

[0052] In this embodiment, each extrusion process has a corresponding extrusion blank and extrusion tool. A geometric model can be built based on the extrusion blank size, extrusion tool size, and extrusion tool structure corresponding to each extrusion process and imported into the finite element simulation software. Among them, a two-dimensional or three-dimensional drawing modeling software is used to build a geometric model of the extrusion process and assemble it based on the extrusion blank size, extrusion tool size, and extrusion tool structure corresponding to each extrusion process. The geometric model is exported in DWG or STL format files and imported into the finite element simulation software for extrusion process simulation. Figure 2 , Figure 2 Schematic diagram of the geometric model of the extrusion process.

[0053] Step S104, meshing the extruded billet according to preset meshing rules in finite element simulation software;

[0054] In this embodiment, in the finite element simulation software, the extruded billet can be meshed at 250,000 meshes, and the mesh near the extrusion tool end is refined at an initial mesh to refinement ratio of 1:1000. It should be noted that the above 250,000 and 1:1000 are for illustration only and can be flexibly set based on actual needs.

[0055] Step S20: After the pre-processing process is completed, the finite element simulation software is run to perform finite element simulation on each extrusion process to obtain simulation results for each extrusion process;

[0056] In this embodiment, simulation control parameters are set, for example, the number of simulation steps is set to 200, the step length is set to 0.1s / step, and the simulation pause time is set to 20s. Alternatively, the automatic detection function of the finite element simulation software can be used to test the pre-processing settings. If the test results are normal, the simulation calculation can be started. If the test results are abnormal, the corresponding settings need to be modified according to the prompts of the automatic detection results until the test results are normal. The above is only a schematic description of the simulation control parameters, and the simulation control parameters can be flexibly set based on actual needs.

[0057] Step S30 : determining a quantitative value of the optimization effect of each extrusion process on shrinkage stratification based on the simulation results of each extrusion process.

[0058] In this embodiment, the metal flow conditions corresponding to each extrusion process are determined based on the simulation results of each extrusion process, thereby determining the quantitative value of the optimization effect of each extrusion process on the shrinkage delamination.

[0059] Furthermore, in one embodiment, step S30 includes:

[0060] For each extrusion process, the deformation value of the specific rheological grid at the i-th simulation step compared to the shape at the initial simulation step is determined based on the simulation results, where i is a preset value;

[0061] The deformation value is used as a quantitative value of the optimization effect of the extrusion process on tail shrinkage and delamination, among which the smaller the deformation value, the better the optimization effect.

[0062] In this embodiment, refer to Figure 3 , Figure 3 is a schematic diagram of rheological grid tracking. Figure 3 As shown, the rheological grid located at the jth row and the kth column can be selected as a specific rheological grid.

[0063] For the first extrusion process, the deformation variable value δ1 of the shape of the specific rheological grid at the 185th simulation step compared with the shape at the initial simulation step is determined according to its simulation results, and δ1 is used as the quantitative value of the optimization effect of the first extrusion process on the shrinkage delamination; similarly, for the second extrusion process, the deformation variable value δ2 of the shape of the specific rheological grid at the 185th simulation step compared with the shape at the initial simulation step is determined according to its simulation results, and δ2 is used as the quantitative value of the optimization effect of the second extrusion process on the shrinkage delamination; similarly, for the third extrusion process, the deformation variable value δ3 of the shape of the specific rheological grid at the 185th simulation step compared with the shape at the initial simulation step is determined according to its simulation results, and δ3 is used as the quantitative value of the optimization effect of the third extrusion process on the shrinkage delamination.

[0064] Furthermore, in one embodiment, step S30 includes:

[0065] For each extrusion process, the absolute value of the difference between the distance between two specific adjacent follower points at the i-th simulation step and the distance at the initial simulation step is determined based on the simulation results, where i is a preset value;

[0066] The absolute value is used as the quantitative value of the optimization effect of the extrusion process on tail shrinkage and delamination, where the smaller the absolute value, the better the optimization effect.

[0067] In this embodiment, refer to Figure 4 , Figure 4 is a schematic diagram of tracking moving points. Figure 4 As shown, P2 and P3 can be selected as specific adjacent follow-up points.

[0068] For the first extrusion process, the absolute value D1 of the difference between the distance between P2 and P3 at the 185th simulation step and the distance at the initial simulation step is determined according to its simulation results, and D1 is used as the quantitative value of the optimization effect of the first extrusion process on tail shrinkage and stratification; similarly, for the second extrusion process, the absolute value D2 of the difference between the distance between P2 and P3 at the 185th simulation step and the distance at the initial simulation step is determined according to its simulation results, and D2 is used as the quantitative value of the optimization effect of the second extrusion process on tail shrinkage and stratification; similarly, for the third extrusion process, the absolute value D3 of the difference between the distance between P2 and P3 at the 185th simulation step and the distance at the initial simulation step is determined according to its simulation results, and D3 is used as the quantitative value of the optimization effect of the third extrusion process on tail shrinkage and stratification.

[0069] Furthermore, in one embodiment, after step S30, the method further includes:

[0070] The quantitative value of the optimization effect of each extrusion process on tail shrinkage and delamination is comprehensively analyzed to determine the extrusion process with the best optimization effect on tail shrinkage and delamination.

[0071] In this embodiment, if the quantitative value of the optimization effect of each extrusion process on tail shrinkage stratification is determined based on the rheological grid tracking scheme, the quantitative values ​​of the optimization effects of the three extrusion processes on tail shrinkage stratification can be obtained, which are δ1, δ2, and δ3 respectively. Since the smaller the deformation value, the better the optimization effect, the extrusion process corresponding to the minimum deformation value is used as the extrusion process with the best optimization effect on tail shrinkage stratification.

[0072] If the quantitative value of the optimization effect of each extrusion process on tail shrinkage and stratification is determined based on the solution of tracking the moving points, the quantitative values ​​of the optimization effects of the three extrusion processes on tail shrinkage and stratification can be obtained, which are D1, D2, and D3 respectively. Since the smaller the absolute value, the better the optimization effect, the extrusion process corresponding to the smallest absolute value is taken as the extrusion process with the best optimization effect on tail shrinkage and stratification.

[0073] In this embodiment, the mechanical performance parameters and thermal performance parameters of the extruded billet are imported into the finite element simulation software; the finite element simulation parameters and the extrusion tool structure corresponding to each extrusion process are set and imported into the finite element simulation software; the geometric model corresponding to each extrusion process is established and imported into the finite element simulation software; the extruded billet is meshed according to a preset division rule in the finite element simulation software, and the finite element simulation software is run based on the data imported into the finite element simulation software to perform finite element simulation for each extrusion process respectively, and obtain the simulation results of each extrusion process; based on the simulation results of each extrusion process, the quantitative value of the optimization effect of each extrusion process on the shrinkage delamination is determined. The extrusion simulation results of each extrusion process relative to the extruded billet are determined through finite element simulation, and the optimization effect of the extrusion process on the shrinkage delamination is quantified based on the extrusion simulation results, thereby achieving the prediction of the effect of the extrusion process on reducing the shrinkage delamination.

[0074] In a second aspect, an embodiment of the present application also provides a device for quantifying the effect of extrusion process optimization.

[0075] In one embodiment, referring to Figure 5 , Figure 5 This is a functional module diagram of an embodiment of the device for quantifying the extrusion process optimization effect of this application. Figure 5 As shown, the device for quantifying the effect of extrusion process optimization includes:

[0076] The pre-processing module 10 is used to execute the pre-processing process, including importing the mechanical and thermal performance parameters of the extruded billet into the finite element simulation software; setting the finite element simulation parameters and extrusion tool structure corresponding to each extrusion process and importing them into the finite element simulation software; establishing the geometric model corresponding to each extrusion process and importing it into the finite element simulation software; and meshing the extruded billet in the finite element simulation software according to the preset meshing rules;

[0077] The simulation module 20 is used to run the finite element simulation software after the pre-processing process is completed, so as to perform finite element simulation on each extrusion process and obtain simulation results of each extrusion process;

[0078] The post-processing module 30 is used to determine a quantitative value of the optimization effect of each extrusion process on shrinkage delamination based on the simulation results of each extrusion process.

[0079] Furthermore, in one embodiment, the mechanical performance parameters include flow stress and density; and the thermal performance parameters include thermal expansion coefficient, thermal conductivity and specific heat capacity.

[0080] Furthermore, in one embodiment, the finite element simulation parameters include extrusion action parameters, friction coefficient and heat transfer coefficient between the extruded billet and the extrusion tool, temperature of the extruded billet, and temperature of the extrusion tool.

[0081] Furthermore, in one embodiment, the pre-processing module 10 is specifically configured to:

[0082] According to the extrusion billet size, extrusion tool size and extrusion tool structure corresponding to each extrusion process, a geometric model is built and imported into the finite element simulation software.

[0083] Furthermore, in one embodiment, the post-processing module 30 is specifically configured to:

[0084] For each extrusion process, the deformation value of the specific rheological grid at the i-th simulation step compared to the shape at the initial simulation step is determined based on the simulation results, where i is a preset value;

[0085] The deformation value is used as a quantitative value of the optimization effect of the extrusion process on tail shrinkage and delamination, among which the smaller the deformation value, the better the optimization effect.

[0086] Furthermore, in one embodiment, the post-processing module 30 is specifically configured to:

[0087] For each extrusion process, the absolute value of the difference between the distance between two specific adjacent follower points at the i-th simulation step and the distance at the initial simulation step is determined based on the simulation results, where i is a preset value;

[0088] The absolute value is used as the quantitative value of the optimization effect of the extrusion process on tail shrinkage and delamination, where the smaller the absolute value, the better the optimization effect.

[0089] Furthermore, in one embodiment, the extrusion process optimization effect quantification device further includes a screening module for:

[0090] The quantitative value of the optimization effect of each extrusion process on tail shrinkage and delamination is comprehensively analyzed to determine the extrusion process with the best optimization effect on tail shrinkage and delamination.

[0091] Among them, the functional implementation of each module in the above-mentioned extrusion process optimization effect quantification device corresponds to the various steps in the above-mentioned extrusion process optimization effect quantification method embodiment, and its functions and implementation processes will not be repeated here one by one.

[0092] In a third aspect, an embodiment of the present application provides a device for quantifying the effect of extrusion process optimization. The device for quantifying the effect of extrusion process optimization can be a personal computer (PC), a laptop computer, a server, or other device with data processing capabilities.

[0093] Reference Figure 6 , Figure 6 Schematic diagram of the hardware structure of the extrusion process optimization effect quantification device involved in the embodiment of the present application. In the embodiment of the present application, the extrusion process optimization effect quantification device may include a processor, a memory, a communication interface and a communication bus.

[0094] The communication bus may be of any type and is used to interconnect the processor, memory, and communication interface.

[0095] Communication interfaces include input / output (I / O) interfaces, physical interfaces, and logical interfaces, which are used to interconnect components within the extrusion process optimization effect quantification device, as well as interfaces used to interconnect the extrusion process optimization effect quantification device with other devices (such as other computing devices or user devices). Physical interfaces can be Ethernet interfaces, fiber optic interfaces, ATM interfaces, etc.; user devices can be displays, keyboards, etc.

[0096] The memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical storage, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.

[0097] The processor may be a general-purpose processor, which may call the extrusion process optimization effect quantification program stored in the memory and execute the extrusion process optimization effect quantification method provided in the embodiment of the present application. For example, the general-purpose processor may be a central processing unit (CPU). The method executed when the extrusion process optimization effect quantification program is called may refer to the various embodiments of the extrusion process optimization effect quantification method of the present application, and will not be repeated here.

[0098] Those skilled in the art will understand that Figure 6 The hardware structure shown in the figure does not constitute a limitation to the present application and may include more or fewer components than shown in the figure, or a combination of certain components, or a different arrangement of components.

[0099] In a fourth aspect, an embodiment of the present application also provides a computer-readable storage medium.

[0100] The computer-readable storage medium of the present application stores a program for quantifying the effect of an extrusion process optimization, wherein when the program for quantifying the effect of an extrusion process optimization is executed by a processor, the steps of the method for quantifying the effect of an extrusion process optimization as described above are implemented.

[0101] Among them, the method implemented when the extrusion process optimization effect quantification program is executed can refer to the various embodiments of the extrusion process optimization effect quantification method of this application, and will not be repeated here.

[0102] It should be noted that the serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0103] The terms "including" and "having" and any variations thereof in the specification and claims of this application and the above-mentioned drawings are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices. The terms "first", "second" and "third" are used to distinguish different objects, etc., and do not represent a sequence, nor do they limit the "first", "second" and "third" to different types.

[0104] In the description of the embodiments of this application, the words "exemplary," "for example," or "for example" are used to indicate examples, illustrations, or descriptions. Any embodiment or design described as "exemplary," "for example," or "for example" in the embodiments of this application should not be construed as being preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary," "for example," or "for example" is intended to present the relevant concepts in a concrete manner.

[0105] In the description of the embodiments of the present application, unless otherwise specified, “ / ” means or, for example, A / B can mean A or B; “and / or” in the text is merely a description of the association relationship of associated objects, indicating that three relationships may exist, for example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, in the description of the embodiments of the present application, “multiple” refers to two or more than two.

[0106] In some processes described in the embodiments of the present application, multiple operations or steps are included that appear in a specific order. However, it should be understood that these operations or steps may not be performed in the order in which they appear in the embodiments of the present application or may be performed in parallel. The sequence numbers of the operations are only used to distinguish between different operations, and the sequence numbers themselves do not represent any order of execution. In addition, these processes may include more or fewer operations, and these operations or steps may be performed in sequence or in parallel, and these operations or steps may be combined.

[0107] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus the necessary general hardware platform, of course, it can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes a number of instructions for enabling a terminal device to execute the methods described in each embodiment of the present application.

[0108] The above are only preferred embodiments of the present application and do not 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 quantifying the effect of extrusion process optimization, characterized in that: The method for quantifying the extrusion process optimization effect includes: Execute the pre-processing process, including: Import the mechanical and thermal properties of the extruded billet into the finite element simulation software; Set the finite element simulation parameters and extrusion tool structure corresponding to each extrusion process and import them into the finite element simulation software; Establish the geometric model corresponding to each extrusion process and import it into the finite element simulation software; Meshing the extruded billet according to preset division rules in the finite element simulation software; After the pre-processing process is completed, the finite element simulation software is run to perform finite element simulation on each extrusion process to obtain the simulation results of each extrusion process; Based on the simulation results of each extrusion process, the quantitative value of the optimization effect of each extrusion process on tail-shrinkage delamination is determined.

2. The method for quantifying the extrusion process optimization effect according to claim 1, wherein: Mechanical performance parameters include flow stress and density; thermal performance parameters include thermal expansion coefficient, thermal conductivity and specific heat capacity.

3. The method for quantifying the extrusion process optimization effect according to claim 1, wherein: The finite element simulation parameters include extrusion action parameters, friction coefficient and heat conduction coefficient between the extrusion billet and the extrusion tool, temperature of the extrusion billet and temperature of the extrusion tool.

4. The method for quantifying the extrusion process optimization effect according to claim 1, wherein: The establishment of the geometric model corresponding to each extrusion process and importing it into the finite element simulation software includes: According to the extrusion billet size, extrusion tool size and extrusion tool structure corresponding to each extrusion process, a geometric model is built and imported into the finite element simulation software.

5. The method for quantifying the extrusion process optimization effect according to claim 1, wherein: Determining the quantitative value of the optimization effect of each extrusion process on shrinkage stratification based on the simulation results of each extrusion process includes: For each extrusion process, the deformation value of the specific rheological grid at the i-th simulation step compared to the shape at the initial simulation step is determined based on the simulation results, where i is a preset value; The deformation value is used as a quantitative value of the optimization effect of the extrusion process on tail shrinkage and delamination, among which the smaller the deformation value, the better the optimization effect.

6. The method for quantifying the extrusion process optimization effect according to claim 1, wherein: Determining the quantitative value of the optimization effect of each extrusion process on shrinkage stratification based on the simulation results of each extrusion process includes: For each extrusion process, the absolute value of the difference between the distance between two specific adjacent follower points at the i-th simulation step and the distance at the initial simulation step is determined based on the simulation results, where i is a preset value; The absolute value is used as the quantitative value of the optimization effect of the extrusion process on tail shrinkage and delamination, where the smaller the absolute value, the better the optimization effect.

7. The method for quantifying the extrusion process optimization effect according to claim 5 or 6, characterized in that: After determining the quantitative value of the optimization effect of each extrusion process on shrinkage delamination based on the simulation results of each extrusion process, the method further includes: The quantitative value of the optimization effect of each extrusion process on tail shrinkage and delamination is comprehensively analyzed to determine the extrusion process with the best optimization effect on tail shrinkage and delamination.

8. A device for quantifying the effect of extrusion process optimization, characterized in that: The extrusion process optimization effect quantification device includes: The pre-processing module is used to execute the pre-processing process, including importing the mechanical and thermal performance parameters of the extruded billet into the finite element simulation software; setting the finite element simulation parameters and extrusion tool structure corresponding to each extrusion process and importing them into the finite element simulation software; establishing the geometric model corresponding to each extrusion process and importing it into the finite element simulation software; and meshing the extruded billet in the finite element simulation software according to the preset partitioning rules; The simulation module is used to run the finite element simulation software after the pre-processing process is completed, so as to perform finite element simulation on each extrusion process and obtain the simulation results of each extrusion process; The post-processing module is used to determine the quantitative value of the optimization effect of each extrusion process on tail shrinkage stratification based on the simulation results of each extrusion process.

9. An extrusion process optimization effect quantification device, characterized in that: The extrusion process optimization effect quantification device includes a processor, a memory, and an extrusion process optimization effect quantification program stored in the memory and executable by the processor, wherein when the extrusion process optimization effect quantification program is executed by the processor, the steps of the extrusion process optimization effect quantification method as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores an extrusion process optimization effect quantification program, wherein when the extrusion process optimization effect quantification program is executed by the processor, the steps of the extrusion process optimization effect quantification method according to any one of claims 1 to 7 are implemented.

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