Constant temperature extrusion process window prediction method and system

Abstract

The present invention discloses a method and system for predicting a constant temperature extrusion process window, including: obtaining a first variation curve of the extrusion outlet temperature with an influencing factor based on different influencing factors; based on the first variation curve, normalizing the extrusion outlet temperature variation rate under the effect of each influencing factor, and screening the influencing factors that make the extrusion outlet temperature variation rate the largest, which are the first variable and the second variable respectively; based on preset scene conditions, obtaining a second variation curve of the extrusion outlet temperature under the effect of the first variable and the second variable; based on the second variation curve, obtaining a contour map of the influence of the first variable and the second variable on the maximum outlet temperature and a contour map of the influence of the first variable and the second variable on the extrusion outlet temperature fluctuation, and obtaining the corresponding constant temperature extrusion process window based on the contour map. The constant temperature extrusion process window prediction method provided by the present invention greatly reduces the trial and error cost, and improves production efficiency and yield rate.

Description

Technical Field

[0001] The present invention relates to the field of alloy material deep processing, and in particular to a method and system for predicting a constant temperature extrusion process window. Background Art

[0002] In the field of deep processing of alloy materials, especially in the field of extrusion technology of alloy round ingots, constant temperature extrusion technology is the most ideal extrusion technology. However, in actual production, it is often difficult to fully achieve constant temperature extrusion due to many variable factors.

[0003] At present, there are four main types of constant temperature extrusion technologies: (1) billet temperature gradient extrusion method; (2) tool and die temperature control extrusion method; (3) process parameter optimization control isothermal extrusion method; (4) extrusion speed control isothermal extrusion method. These technologies can control the stability of the extrusion outlet temperature to a certain extent during the extrusion process of alloy round bars. However, before obtaining a constant temperature extrusion process with reasonable process and good effect, there are a lot of trial and error costs, and it is necessary to continuously optimize the control parameters to finally obtain a constant temperature extrusion process.

[0004] Therefore, in view of the above technical problems, it is necessary to provide a method and system for predicting a constant temperature extrusion process window.

[0005] The information disclosed in this background technology section is only intended to enhance the understanding of the overall background of the invention and should not be regarded as an acknowledgment or any form of suggestion that the information constitutes the prior art already known to a person skilled in the art. Summary of the invention

[0006] The purpose of the present invention is to provide a method and system for predicting a constant temperature extrusion process window, which can realize constant temperature extrusion prediction as quickly as possible at a low trial and error cost and continuously narrow the constant temperature extrusion process window, so that the most reasonable constant temperature extrusion process window can be clearly determined for each profile before extrusion is implemented.

[0007] To achieve the above purpose, the technical solution provided by the present invention is as follows:

[0008] In a first aspect, the present invention provides a method for predicting a constant temperature extrusion process window, comprising:

[0009] Based on the effects of different influencing factors, a first variation curve of the extrusion outlet temperature with respect to each of the influencing factors is obtained, wherein the influencing factors include the casting rod temperature, the extrusion rod speed, the mold temperature, and the extrusion barrel temperature;

[0010] Based on the first change curve, normalize the change rate of the extrusion outlet temperature under the influence of each of the influencing factors, and select the two influencing factors that make the change rate of the extrusion outlet temperature the largest, which are the first variable and the second variable;

[0011] Based on a preset scenario condition, obtaining a second variation curve of the extrusion outlet temperature under the action of the first variable and the second variable;

[0012] Based on the second change curve, a contour map of the influence of the first variable and the second variable on the maximum outlet temperature and a contour map of the influence of the first variable and the second variable on the extrusion outlet temperature fluctuation are obtained; and based on the contour map of the influence of the first variable and the second variable on the maximum outlet temperature and the contour map of the influence of the first variable and the second variable on the extrusion outlet temperature fluctuation, the corresponding constant temperature extrusion process window is obtained.

[0013] In one or more embodiments, the normalizing of the extrusion outlet temperature change rate under the influence of each of the influencing factors based on the first change curve includes:

[0014] Based on the preset process intervals of the influencing factors, calculating the difference between the maximum value and the minimum value of the process interval;

[0015] Multiplying the difference of each influencing factor by a preset normalized value, the product obtained is the unit change of each influencing factor, wherein the normalized value is less than 1;

[0016] The change rate of the extrusion outlet temperature is obtained when each influencing factor increases or decreases by a unit change.

[0017] In one or more embodiments, the obtaining of a first variation curve of the extrusion outlet temperature with respect to each of the influencing factors under the effects of different influencing factors includes:

[0018] Controlling the influence factor to change at a preset change rate, while keeping the other factors unchanged;

[0019] Recording the change in the extrusion outlet temperature during the change of the influencing factor;

[0020] The first variation curve is generated based on the influencing factor and the variation of the extrusion outlet temperature.

[0021] In one or more embodiments, the obtaining, based on the preset scene condition, a second variation curve of the extrusion outlet temperature under the action of the first variable and the second variable includes:

[0022] Based on the preset scene condition, controlling the first variable preset to a first initial value to change at a preset change rate, while keeping the remaining variables unchanged;

[0023] Recording the change in the extrusion outlet temperature during the change of the first variable to generate the second change curve;

[0024] The first variable is adjusted to a second initial value, and the second variable is controlled to change at the same rate of change, while the remaining variables remain unchanged;

[0025] The change in the extrusion outlet temperature during the change of the second variable is recorded to generate another second change curve.

[0026] In one or more embodiments, based on the second change curve, obtaining a contour map of the influence of the first variable and the second variable on the maximum outlet temperature, and a contour map of the influence of the first variable and the second variable on the extrusion outlet temperature fluctuation, includes:

[0027] Obtaining a maximum value and a minimum value of the extrusion outlet temperature under different effects of the first variable and the second variable, wherein the first variable and the second variable are within a preset process range;

[0028] The difference between the maximum value and the minimum value is used as the temperature fluctuation data under the experimental conditions for obtaining the maximum value and the minimum value, and the maximum value is used as the highest temperature data under the experimental conditions for obtaining the maximum value;

[0029] Summarize the maximum temperature data and the temperature fluctuation data under different experimental conditions to generate an experiment list;

[0030] The corresponding data in the experiment list is input into the data processing component to generate a contour map of the influence of the first variable and the second variable on the maximum outlet temperature and a contour map of the influence of the first variable and the second variable on the extrusion outlet temperature fluctuation.

[0031] In one or more embodiments, the obtaining of the corresponding constant temperature extrusion process window based on the contour map of the influence of the first variable and the second variable on the maximum outlet temperature and the contour map of the influence of the first variable and the second variable on the extrusion outlet temperature fluctuation comprises:

[0032] Superimpose the contour map of the influence of the first variable and the second variable on the maximum outlet temperature and the contour map of the influence of the first variable and the second variable on the extrusion outlet temperature fluctuation, and adaptively adjust the image transparency;

[0033] Based on different process requirements, the intersection of the superimposed contour maps that meet the process requirements is taken as the constant temperature extrusion process window under the process requirements.

[0034] In a second aspect, the present invention provides a constant temperature extrusion process window prediction system, which comprises:

[0035] A first acquisition module is used to acquire a first variation curve of the extrusion outlet temperature with each of the influencing factors under the effects of different influencing factors, wherein the influencing factors include the casting rod temperature, the extrusion rod speed, the mold temperature, and the extrusion barrel temperature;

[0036] A screening module, configured to normalize the change rate of the extrusion outlet temperature under the influence of each of the influencing factors based on the first change curve, and screen the two influencing factors that make the change rate of the extrusion outlet temperature the largest, which are the first variable and the second variable;

[0037] A second acquisition module, configured to acquire, based on a preset scenario condition, a second variation curve of the extrusion outlet temperature under the action of the first variable and the second variable;

[0038] The third acquisition module is used to obtain a contour map of the influence of the first variable and the second variable on the outlet maximum temperature, and a contour map of the influence of the first variable and the second variable on the extrusion outlet temperature fluctuation, and based on the contour map of the influence of the first variable and the second variable on the outlet maximum temperature and the contour map of the influence of the first variable and the second variable on the extrusion outlet temperature fluctuation, obtain the corresponding constant temperature extrusion process window.

[0039] Compared with the prior art, the constant temperature extrusion process window prediction method provided by the present invention obtains the first variation curve of the extrusion outlet temperature with each influencing factor under the action of different influencing factors; based on the first variation curve, the magnitude of the extrusion outlet temperature variation rate under the action of each influencing factor is normalized, and the two influencing factors that make the extrusion outlet temperature variation rate the largest are selected, which are the first variable and the second variable; based on the preset scene conditions, the second variation curve of the extrusion outlet temperature under the action of the first variable and the second variable is obtained; based on the second variation curve, a contour map of the influence of the first variable and the second variable on the maximum outlet temperature and a contour map of the influence of the first variable and the second variable on the extrusion outlet temperature fluctuation are obtained, and based on the contour map, the corresponding constant temperature extrusion process window is obtained. The constant temperature extrusion process window prediction method has the following advantages:

[0040] (1) Before extrusion is implemented, the constant temperature extrusion process window for each profile is determined, which greatly reduces the trial and error cost in the production process and improves production efficiency and yield rate.

[0041] (2) It is suitable for constant temperature extrusion process window prediction of profiles of different shapes and categories, with better adaptability.

[0042] (3) The constant temperature extrusion process window under various process conditions can be obtained by testing the profile once, without the need to repeat the test under different experimental conditions, which is more convenient and quick. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 It is an image obtained by merging a contour map of the influence rule on the maximum outlet temperature and a contour map of the influence rule on the extrusion outlet temperature fluctuation in one embodiment of the present invention;

[0044] Figure 2 It is a schematic flow chart of the prediction of the isothermal extrusion process window in one embodiment of the present invention;

[0045] Figure 3 is a structural block diagram of a constant temperature extrusion process window prediction system in one embodiment of the present invention;

[0046] Figure 4 is a curve showing a change in the extrusion outlet temperature at different casting rod temperatures in one embodiment of the present invention;

[0047] Figure 5 is a first variation curve of the die temperature and the average temperature of the extrusion outlet in the second stage in one embodiment of the present invention;

[0048] Figure 6 It is a schematic diagram of the process range of each influencing factor in one embodiment of the present invention;

[0049] Figure 7 is a second variation curve generated by the casting rod temperature and the extrusion rod speed in one embodiment of the present invention;

[0050] Figure 8 is a schematic diagram of an experiment list in one embodiment of the present invention;

[0051] Fig. 9 is a contour diagram showing the influence of the casting rod temperature and the extrusion rod speed on the maximum outlet temperature in one embodiment of the present invention;

[0052] Fig.10 It is a contour diagram of the influence of casting rod temperature and extrusion rod speed on extrusion outlet temperature fluctuation in one embodiment of the present invention. DETAILED DESCRIPTION

[0053] The specific implementation modes of the present invention are described in detail below in conjunction with the accompanying drawings, but it should be understood that the protection scope of the present invention is not limited by the specific implementation modes.

[0054] Unless explicitly stated otherwise, throughout the specification and claims, the term “comprise” or variations such as “include” or “comprising”, etc., will be understood to include the stated elements or components but not to exclude other elements or components.

[0055] In the existing technical solutions, there are four methods for predicting the constant temperature extrusion process window of alloy materials, which are (1) billet temperature gradient extrusion method (2) tool and die temperature control extrusion method (3) process parameter optimization control isothermal extrusion method; (4) extrusion speed control isothermal extrusion method. However, without exception, the constant temperature extrusion methods in the above-mentioned prior art all need to summarize the relevant parameters of constant temperature extrusion under the corresponding process conditions through actual operation, which requires a lot of trial and error costs and as the shape and size of the profile become more complicated, the trial and error costs will increase sharply; on the other hand, the constant temperature extrusion methods performed by the above-mentioned prior art can only derive the use conditions under one process condition at one time. When the process conditions change, trial and error need to be repeated, which greatly wastes resources.

[0056] The inventors of the present invention discovered the main shortcomings of the prior art, and based on the shortcomings of the prior art proposed a new technical implementation idea: by screening the two variables that have the greatest impact on the extrusion outlet temperature, and then simulating the combined effect of the two variables that have the greatest impact on the extrusion outlet temperature, a contour map of the influence law of the maximum outlet temperature and a contour map of the influence law of the extrusion outlet temperature fluctuation are obtained, and based on the contour map and the corresponding process conditions, the corresponding constant temperature extrusion process window is obtained.

[0057] It should be noted that the constant temperature extrusion process window prediction method of the embodiment of the present invention can be applied to the constant temperature extrusion process window prediction system of the embodiment of the present invention. The constant temperature extrusion process window prediction system can be configured in a terminal. The terminal may include but is not limited to a PC (Personal Computer), a PDA (tablet computer), a smart phone, a smart wearable device, and the like.

[0058] Please refer to Figure 2 The figure is a schematic diagram of the process flow of isothermal extrusion process window prediction in one embodiment of the present invention. The isothermal extrusion process window prediction method specifically includes the following steps:

[0059] S201: Based on the effects of different influencing factors, obtaining a first variation curve of the extrusion outlet temperature as a function of each of the influencing factors;

[0060] In an exemplary embodiment, the first change curve of the extrusion outlet temperature with each influencing factor under the action of different influencing factors is obtained, including: controlling one of the influencing factors to change at a preset change rate, while keeping the rest unchanged; recording the change in the extrusion outlet temperature during the change of the influencing factor; and generating the first change curve based on the change in the influencing factor and the extrusion outlet temperature.

[0061] The influencing factors include but are not limited to casting rod temperature, extrusion rod speed, mold temperature and extrusion barrel temperature.

[0062] For example, the influence of the casting rod temperature on the extrusion outlet temperature is obtained, and the extrusion barrel temperature, extrusion rod speed, and mold temperature are set to be fixed. The casting rod temperature is 425°C, and the change curve of the extrusion outlet temperature during the profile extrusion process is recorded; then the casting rod temperature is set to 450°C, and the change curve of the extrusion outlet temperature during the profile extrusion process is recorded; repeat the above steps, increase the casting rod temperature at a preset rate of change, and obtain multiple sets of extrusion outlet temperature change curves at the casting rod temperature, such as Figure 4 shown.

[0063] Based on the same concept, it is also necessary to obtain the variation curves of the extrusion outlet temperature with different extrusion rod speeds, mold temperatures, and extrusion barrel temperatures. Further, the mean value of the temperature variation curve at the second stage temperature is calculated, and the function graph of the second stage extrusion outlet temperature with different values ​​of the influencing factors is established as the first variation curve, such as Figure 5 It shows the first variation curve of the mold temperature and the average temperature of the extrusion outlet in the second stage according to one embodiment of the present invention.

[0064] It should be noted that the increase in the extrusion outlet temperature is divided into two stages. The first stage is the process before the extrusion enters the stable stage, and the second stage refers to the process in which the temperature rise reaches equilibrium after the extrusion enters the stable stage. In the first stage, as the extrusion rod stroke increases, the extrusion outlet temperature rises rapidly. In the second stage, the extrusion outlet temperature tends to be stable and does not change dramatically with the increase in the extrusion rod stroke. In one embodiment, an interval division value can be set. When the derivative value of the extrusion outlet temperature change curve is less than the interval division value, the extrusion outlet temperature change curve is in two stages; when the derivative value of the extrusion outlet temperature change curve is greater than or equal to the interval division value, the extrusion outlet temperature change curve is in one stage.

[0065] S202: Based on the first change curve, normalize the change rate of the extrusion outlet temperature under the influence of each of the influencing factors, and select the two influencing factors that make the change rate of the extrusion outlet temperature the largest, which are the first variable and the second variable;

[0066] It should be noted that the extrusion outlet temperature refers to the average temperature of the extrusion outlet in the second stage.

[0067] In an exemplary embodiment, based on the first change curve, the change rate of the extrusion outlet temperature under the influence of each of the influencing factors is normalized, including: based on the preset process interval of each of the influencing factors, calculating the difference between the maximum value and the minimum value of the process interval; multiplying the difference of each influencing factor by a preset normalized value, and the product obtained is the unit change of each of the influencing factors, wherein the normalized value is less than 1; and obtaining the change rate of the extrusion outlet temperature when each influencing factor increases or decreases by a unit change.

[0068] For example, in a specific embodiment, Figure 6 As shown, the process range of the casting rod temperature is 420-500°C, the process range of the extrusion rod speed is 2-6mm / s, the process range of the mold temperature is 450-500°C, and the process range of the extrusion barrel temperature is 430-490°C. If the normalization value is set to 10%, the unit change of the casting rod temperature is (500-420)*10%=8°C; the unit change of the extrusion rod speed is (6-2)*10%=0.4mm / s; the unit change of the mold temperature is (500-450)*10%=5°C; and the unit change of the extrusion barrel temperature is (490-430)*10%=6°C. Furthermore, it has been measured that when the mold temperature increases by 5°C, that is, one unit change, the profile extrusion outlet temperature increases by 2.38 degrees; when the extrusion barrel temperature increases by 6°C, the profile extrusion outlet temperature increases by 0.95°C. Therefore, the influence of the extrusion barrel temperature on the extrusion outlet temperature is smaller than that of the mold temperature.

[0069] In another embodiment, the difference between the maximum and minimum values ​​of each influencing factor in the process interval is calculated, and the value of each influencing factor can be increased or decreased by the same percentage of the difference between the maximum and minimum values ​​of the process interval, and the data values ​​of the percentage increase of the temperature relative to the standard temperature are compared, thereby achieving the purpose of screening the two influencing factors that have the largest rate of change of the extrusion outlet temperature.

[0070] For example, the process range of the casting rod temperature is 420-500°C, the process range of the extrusion rod speed is 2-6mm / s, the process range of the mold temperature is 450-500°C, and the process range of the extrusion barrel temperature is 430-490°C. Set the standard temperature of the extrusion outlet to 530°C. Calculate the difference between the maximum and minimum values ​​of each process range: casting rod temperature is 80°C, extrusion rod speed is 4mm / s, mold temperature is 50°C, and extrusion barrel temperature is 60°C. According to measurement, when the casting rod temperature increases by 25% of the difference, the profile extrusion outlet temperature increases by 1.2% of the extrusion outlet standard temperature; when the extrusion rod speed increases by 25% of the difference, the profile extrusion outlet temperature increases by 2% of the extrusion outlet standard temperature. Therefore, the extrusion rod speed has a greater impact on the extrusion outlet temperature than the casting rod temperature.

[0071] S203: Based on a preset scenario condition, obtaining a second variation curve of the extrusion outlet temperature under the action of the first variable and the second variable;

[0072] In an exemplary embodiment, the second change curve of the extrusion outlet temperature under the action of the first variable and the second variable is obtained based on the preset scene conditions, including: based on the preset scene conditions, controlling the first variable preset to a first initial value to change at a preset change rate, while the rest remains unchanged; recording the change in the extrusion outlet temperature during the change of the first variable, and generating the second change curve; adjusting the first variable to a second initial value, controlling the second variable to change at the same change rate, while the rest remains unchanged; recording the change in the extrusion outlet temperature during the change of the second variable, and generating another second change curve.

[0073] For example, in a specific embodiment, after the screening in the previous step, it is known that the casting rod temperature and the extrusion rod speed are the factors that have the greatest impact on the extrusion outlet temperature. Under the condition that other influencing factors remain unchanged, the casting rod temperature is set to 470°C, and the values ​​of the second-stage extrusion outlet temperature are measured under the conditions of the extrusion rod speed of 2mm / s, 3mm / s, 4mm / s, 5mm / s and 6mm / s. Then, the casting rod temperature is increased by 10°C, and the values ​​of the second-stage extrusion outlet temperature are measured again under the conditions of the extrusion rod speed of 2mm / s, 3mm / s, 4mm / s, 5mm / s and 6mm / s. Repeat the above steps to obtain multiple sets of change curves, which are the second change curves, such as Figure 7 shown.

[0074] It should be noted that in order to make the conclusion more accurate and fit the actual process application scenario and avoid invalid data affecting the experimental results and wasting computing power, the values ​​of the influencing factors are all within the process range corresponding to the influencing factors.

[0075] S204: Based on the second change curve, obtain a contour map of the influence of the first variable and the second variable on the maximum outlet temperature and a contour map of the influence of the first variable and the second variable on the extrusion outlet temperature fluctuation, and based on the contour map, obtain the corresponding constant temperature extrusion process window.

[0076] In an exemplary embodiment, the method of obtaining a contour map of the influence of the first variable and the second variable on the maximum outlet temperature and a contour map of the influence of the first variable and the second variable on the extrusion outlet temperature fluctuation based on the second change curve includes: obtaining the maximum and minimum values ​​of the extrusion outlet temperature under different effects of the first variable and the second variable, wherein the first variable and the second variable are within a preset process range; taking the difference between the maximum and the minimum values ​​as the temperature fluctuation data under the experimental conditions for obtaining the maximum and minimum values, and taking the maximum value as the maximum temperature data under the experimental conditions for obtaining the maximum value; summarizing the maximum temperature data and the temperature fluctuation data under different experimental conditions to generate an experimental list; inputting the corresponding data in the experimental list into a data processing component to generate a contour map of the influence of the first variable and the second variable on the maximum outlet temperature and a contour map of the influence of the first variable and the second variable on the extrusion outlet temperature fluctuation.

[0077] It should be noted that a contour map is a type of chart used to visualize two-dimensional data. It uses contour lines to represent the isovalues ​​of data and is used to show the height or value distribution of data. In data analysis, it can be used to visualize the isovalue areas and density distribution of data, observe the clustering areas, trends and changes of data, and help discover the structure and rules of data sets.

[0078] For example, in a specific embodiment, the conditions of the above embodiment are used, such as Figure 8 The figure shows an experimental list diagram. Based on the second variation curve, the maximum and minimum values ​​of the extrusion outlet temperature are recorded under different casting rod temperatures and extrusion rod speeds. The difference between the maximum and minimum values ​​is used as the temperature fluctuation data under the experimental conditions for obtaining the maximum and minimum values. The maximum value is used as the highest temperature data under the experimental conditions for obtaining the maximum value.

[0079] Set the data of rod temperature in a column as X, set the data of extrusion rod speed in a column as Y, set the data of temperature fluctuation in the second stage as Z, select all the data of the X column, Y column and Z column, import the contour map generation module, and generate the contour map of the temperature fluctuation of the casting rod and the extrusion rod speed in the second stage; Based on the same method, set the data of rod temperature in a column as X, set the data of extrusion rod speed in a column as Y, set the data of the highest temperature in the second stage as Z, select all the data of the X column, Y column and Z column, import the contour map generation module, and generate the contour map of the temperature fluctuation of the casting rod and the extrusion rod speed in the second stage. Wherein, the rod temperature is the casting rod temperature.

[0080] The method of obtaining a corresponding constant temperature extrusion process window based on the contour map includes: superimposing the contour map of the influence of the first variable and the second variable on the maximum outlet temperature and the contour map of the influence of the first variable and the second variable on the extrusion outlet temperature fluctuation, and adaptively adjusting the image transparency; based on different process requirements, taking the intersection of the superimposed contour maps that meets the process requirements, that is, the constant temperature extrusion process window under the process requirements.

[0081] For example, using the conditions of the above embodiment, Fig. 9 , Fig.10 as well as Figure 1 As shown in the figure, in a specific embodiment, the contour map of the influence of the casting temperature and the extrusion rod speed on the maximum outlet temperature, the contour map of the influence of the casting temperature and the extrusion rod speed on the extrusion outlet temperature fluctuation generated based on the above method, and the image after the above two contour maps are merged. If the upper limit of the extrusion outlet temperature in the second stage is 572℃, the lower limit of the extrusion outlet temperature is 546.8℃, and the temperature fluctuation requirement in the second stage is less than or equal to 4.9℃, then the corresponding constant temperature extrusion process window is Figure 1 Zone C, that is, the casting rod temperature and extrusion rod speed corresponding to zone C can be used in actual production.

[0082] Please refer to Figure 3 As shown, based on the same inventive concept as the aforementioned constant temperature extrusion process window prediction method, a constant temperature extrusion process window prediction system 300 is provided in one embodiment of the present invention, which includes: a first acquisition module 301, a screening module 302, a second acquisition module 303 and a third acquisition module 304.

[0083] Specifically, the first acquisition module 301 is used to acquire a first variation curve of the extrusion outlet temperature with each of the influencing factors based on the effects of different influencing factors;

[0084] A screening module 302 is used to normalize the change rate of the extrusion outlet temperature under the influence of each of the influencing factors based on the first change curve, and screen the two influencing factors that make the change rate of the extrusion outlet temperature the largest, which are the first variable and the second variable;

[0085] A second acquisition module 303 is used to acquire, based on a preset scenario condition, a second variation curve of the extrusion outlet temperature under the action of the first variable and the second variable;

[0086] The third acquisition module 304 is used to obtain, based on the second change curve, a contour map of the influence of the first variable and the second variable on the outlet maximum temperature and a contour map of the influence of the first variable and the second variable on the extrusion outlet temperature fluctuation, and based on the contour map, obtain the corresponding constant temperature extrusion process window.

[0087] It should be noted that the screening module 302 is also used to calculate the difference between the maximum value and the minimum value of the process interval based on the preset process interval of each influencing factor; multiply the difference of each influencing factor by a preset normalized value, and the product obtained is the unit change of each influencing factor, wherein the normalized value is less than 1; and obtain the change rate of the extrusion outlet temperature when each influencing factor increases or decreases the unit change.

[0088] The first acquisition module 301 is also used to control the change of the influencing factor at a preset change rate, while keeping the rest unchanged; record the change of the extrusion outlet temperature during the change of the influencing factor; and generate the first change curve based on the change of the influencing factor and the extrusion outlet temperature.

[0089] The second acquisition module 303 is also used to, based on the preset scene conditions, control the first variable preset to the first initial value to change at a preset change rate, while the rest remains unchanged; record the change in the extrusion outlet temperature during the change of the first variable to generate the second change curve; adjust the first variable to the second initial value, control the second variable to change at the same change rate, while the rest remains unchanged; record the change in the extrusion outlet temperature during the change of the second variable to generate another second change curve.

[0090] The third acquisition module 304 is also used to obtain the maximum and minimum values ​​of the extrusion outlet temperature under the effects of different first and second variables, wherein the first and second variables are within a preset process range; the difference between the maximum and minimum values ​​is used as the temperature fluctuation data under the experimental conditions for obtaining the maximum and minimum values, and the maximum value is used as the highest temperature data under the experimental conditions for obtaining the maximum value; the highest temperature data and the temperature fluctuation data under different experimental conditions are summarized to generate an experimental list; the corresponding data in the experimental list is input into the data processing component to generate a contour map of the influence of the first and second variables on the highest outlet temperature and a contour map of the influence of the first and second variables on the extrusion outlet temperature fluctuation. The contour map of the influence of the first and second variables on the highest outlet temperature and the contour map of the influence of the first and second variables on the extrusion outlet temperature fluctuation are superimposed to adaptively adjust the image transparency; based on different process requirements, the intersection of the superimposed contour maps that meet the process requirements is taken as the constant temperature extrusion process window under the process requirements.

[0091] The foregoing description of specific exemplary embodiments of the present invention is for the purpose of illustration and demonstration. These descriptions are not intended to limit the present invention to the precise form disclosed, and it is clear that many changes and variations can be made based on the above teachings. The purpose of selecting and describing the exemplary embodiments is to explain the specific principles of the present invention and its practical application, so that those skilled in the art can realize and utilize various different exemplary embodiments of the present invention and various different selections and changes. The scope of the present invention is intended to be limited by the claims and their equivalents.

Claims

1. A method for predicting a constant temperature extrusion process window, characterized in that: include: Based on the effects of different influencing factors, a first variation curve of the extrusion outlet temperature as the influencing factors vary is obtained, wherein the influencing factors include the casting rod temperature, the extrusion rod speed, the mold temperature, and the extrusion barrel temperature; Based on the first change curve, normalize the change rate of the extrusion outlet temperature under the influence of each of the influencing factors, and select the two influencing factors that make the change rate of the extrusion outlet temperature the largest, which are the first variable and the second variable; Based on a preset scenario condition, obtaining a second variation curve of the extrusion outlet temperature under the action of the first variable and the second variable; Based on the second change curve, a contour map of the influence of the first variable and the second variable on the maximum outlet temperature and a contour map of the influence of the first variable and the second variable on the extrusion outlet temperature fluctuation are obtained; and based on the contour map of the influence of the first variable and the second variable on the maximum outlet temperature and the contour map of the influence of the first variable and the second variable on the extrusion outlet temperature fluctuation, the corresponding constant temperature extrusion process window is obtained.

2. The method for predicting the isothermal extrusion process window according to claim 1, characterized in that: The step of normalizing the change rate of the extrusion outlet temperature under the influence of each of the influencing factors based on the first change curve includes: Based on the preset process intervals of the influencing factors, calculating the difference between the maximum value and the minimum value of the process interval; Multiplying the difference of each influencing factor by a preset normalized value, the product obtained is the unit change of each influencing factor, wherein the normalized value is less than 1; The change rate of the extrusion outlet temperature is obtained when each influencing factor increases or decreases by a unit change.

3. The method for predicting the isothermal extrusion process window according to claim 1, characterized in that: The obtaining of a first variation curve of the extrusion outlet temperature with respect to each of the influencing factors under the effects of different influencing factors includes: Controlling the influence factor to change at a preset change rate, while keeping the other factors unchanged; Recording the change in the extrusion outlet temperature during the change of the influencing factor; The first variation curve is generated based on the influencing factor and the variation of the extrusion outlet temperature.

4. The method for predicting the isothermal extrusion process window according to claim 1, characterized in that: The step of obtaining, based on a preset scenario condition, a second variation curve of the extrusion outlet temperature under the action of the first variable and the second variable comprises: Based on the preset scene condition, controlling the first variable preset to a first initial value to change at a preset change rate, while keeping the remaining variables unchanged; Recording the change in the extrusion outlet temperature during the change of the first variable to generate the second change curve; The first variable is adjusted to a second initial value, and the second variable is controlled to change at the same rate of change, while the remaining variables remain unchanged; The change in the extrusion outlet temperature during the change of the second variable is recorded to generate another second change curve.

5. The method for predicting the isothermal extrusion process window according to claim 1, characterized in that: The method of obtaining, based on the second variation curve, a contour map of the influence of the first variable and the second variable on the maximum outlet temperature, and a contour map of the influence of the first variable and the second variable on the extrusion outlet temperature fluctuation, comprises: Obtaining a maximum value and a minimum value of the extrusion outlet temperature under different effects of the first variable and the second variable, wherein the first variable and the second variable are within a preset process range; The difference between the maximum value and the minimum value is used as the temperature fluctuation data under the experimental conditions for obtaining the maximum value and the minimum value, and the maximum value is used as the highest temperature data under the experimental conditions for obtaining the maximum value; Summarize the maximum temperature data and the temperature fluctuation data under different experimental conditions to generate an experiment list; The corresponding data in the experiment list is input into the data processing component to generate a contour map of the influence of the first variable and the second variable on the maximum outlet temperature and a contour map of the influence of the first variable and the second variable on the extrusion outlet temperature fluctuation.

6. The method for predicting the isothermal extrusion process window according to claim 5, characterized in that: The obtaining of the corresponding constant temperature extrusion process window based on the contour map of the influence of the first variable and the second variable on the maximum outlet temperature and the contour map of the influence of the first variable and the second variable on the extrusion outlet temperature fluctuation comprises: The contour map of the influence of the first variable and the second variable on the maximum outlet temperature and the contour map of the influence of the first variable and the second variable on the extrusion outlet temperature fluctuation are superimposed, and the image transparency is adaptively adjusted; based on different process requirements, the intersection of the superimposed contour maps that meets the process requirements is taken, which is the constant temperature extrusion process window under the process requirements.

7. A constant temperature extrusion process window prediction system, characterized in that: include: A first acquisition module is used to acquire a first variation curve of the extrusion outlet temperature with each of the influencing factors under the effects of different influencing factors, wherein the influencing factors include the casting rod temperature, the extrusion rod speed, the mold temperature, and the extrusion barrel temperature; A screening module, configured to normalize the change rate of the extrusion outlet temperature under the influence of each of the influencing factors based on the first change curve, and screen the two influencing factors that make the change rate of the extrusion outlet temperature the largest, which are the first variable and the second variable; A second acquisition module, configured to acquire, based on a preset scenario condition, a second variation curve of the extrusion outlet temperature under the action of the first variable and the second variable; The third acquisition module is used to obtain a contour map of the influence of the first variable and the second variable on the outlet maximum temperature, and a contour map of the influence of the first variable and the second variable on the extrusion outlet temperature fluctuation, and based on the contour map of the influence of the first variable and the second variable on the outlet maximum temperature and the contour map of the influence of the first variable and the second variable on the extrusion outlet temperature fluctuation, obtain the corresponding constant temperature extrusion process window.

8. The isothermal extrusion process window prediction system according to claim 7, characterized in that: The step of normalizing the change rate of the extrusion outlet temperature under the influence of each of the influencing factors based on the first change curve includes: Based on the preset process intervals of the influencing factors, calculating the difference between the maximum value and the minimum value of the process interval; Multiplying the difference of each influencing factor by a preset normalized value, the product obtained is the unit change of each influencing factor, wherein the normalized value is less than 1; The change rate of the extrusion outlet temperature is obtained when each influencing factor increases or decreases by a unit change.

9. The isothermal extrusion process window prediction system according to claim 7, characterized in that: The method of obtaining, based on the second variation curve, a contour map of the influence of the first variable and the second variable on the maximum outlet temperature, and a contour map of the influence of the first variable and the second variable on the extrusion outlet temperature fluctuation, comprises: Obtaining a maximum value and a minimum value of the extrusion outlet temperature under different effects of the first variable and the second variable, wherein the first variable and the second variable are within a preset process range; The difference between the maximum value and the minimum value is used as the temperature fluctuation data under the experimental conditions for obtaining the maximum value and the minimum value, and the maximum value is used as the highest temperature data under the experimental conditions for obtaining the maximum value; Summarize the maximum temperature data and the temperature fluctuation data under different experimental conditions to generate an experiment list; The corresponding data in the experiment list is input into the data processing component to generate a contour map of the influence of the first variable and the second variable on the maximum outlet temperature and a contour map of the influence of the first variable and the second variable on the extrusion outlet temperature fluctuation.

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