Method for improving shrinkage phenomenon of thermoplastic elastomer sheet

Abstract

This application is applicable to the technical field of thermoplastic elastomer production, and particularly relates to a method for improving the shrinkage phenomenon of thermoplastic elastomer sheets. The method for improving the shrinkage phenomenon of thermoplastic elastomer sheets includes: obtaining melt information; analyzing according to the melt information to obtain the supercritical fluid injection amount; analyzing according to the melt information and the supercritical fluid injection amount to obtain the pressure holding information; the control device controls the extrusion device to perform pressure holding treatment according to the pressure holding information and reduces the pressure of the space where the thermoplastic elastomer melt is located based on the first pressure reduction rate, and obtains the foaming information in real time; when the foaming information is abnormal, adjusting the first pressure reduction rate according to the foaming information to obtain the second pressure reduction rate; the control device controls the extrusion device to reduce the pressure of the space where the thermoplastic elastomer melt is located at the second pressure reduction rate to obtain the thermoplastic elastomer sheet. This method is beneficial to generating uniformly distributed pores and reducing the shrinkage phenomenon of thermoplastic elastomer sheets.

Description

Technical Field

[0001] This application belongs to the technical field of thermoplastic elastomer sheet production, and particularly relates to a method for improving the shrinkage phenomenon of thermoplastic elastomer sheets. Background Art

[0002] Thermoplastic elastomers (TPEs), especially thermoplastic polyurethanes (TPUs), are widely used in various industries due to their excellent mechanical properties, abrasion resistance, and chemical resistance. However, during the production process, especially in TPU sheets manufactured by extrusion molding and supercritical foaming processes, a significant problem is often encountered - the shrinkage phenomenon, that is, after supercritical foaming of TPU, due to gas escape, it will show a shrinkage and shriveling phenomenon, and it can only recover elasticity through gas exchange for a period of time; by reducing the shrinkage rate of the material, the time for gas exchange can be reduced, thereby greatly improving production efficiency.

[0003] In related technologies, usually, the cell structure is improved and the anti-shrinkage performance of the material is enhanced by adjusting the composition ratio of the TPU raw material or adding appropriate modifiers such as nucleating agents and plasticizers. For example, adding a polymer with a high glass transition temperature (Tg) can increase the rigidity of the material and slow down the gas diffusion rate, but this method requires continuous experimental analysis and is of relatively high difficulty. Summary of the Invention

[0004] The embodiments of this application provide a method for improving the shrinkage phenomenon of thermoplastic elastomer sheets, which can solve the problem of low production efficiency caused by the shrinkage phenomenon of TPU sheets manufactured by extrusion molding and supercritical foaming processes.

[0005] In a first aspect, the embodiments of this application provide a method for improving the shrinkage phenomenon of thermoplastic elastomer sheets, including:

[0006] Obtaining melt information; wherein, the melt information is used to reflect the size of the thermoplastic elastomer melt extruded by the extrusion device;

[0007] Analyzing based on the melt information to obtain the supercritical fluid injection amount; wherein, the supercritical fluid injection amount is used to reflect the content of the supercritical fluid injected into the thermoplastic elastomer melt by the extrusion device;

[0008] Analyzing based on the melt information and the supercritical fluid injection amount to obtain the pressure holding information; wherein, the pressure holding information is used to reflect the pressure magnitude and pressure holding time of the extrusion device before supercritical fluid foaming;

[0009] The control device controls the extrusion device to perform a pressure-holding process based on the pressure-holding information, reduces the pressure of the space where the thermoplastic elastomer melt is located based on a first pressure reduction rate, and obtains foaming information in real time; wherein, the foaming information is used to reflect the change in the size of the foam cells, and the first pressure reduction rate is used to reflect the speed at which the pressure value of the space where the thermoplastic elastomer melt is located decreases per unit time.

[0010] When the foaming information is abnormal, the first pressure reduction rate is adjusted according to the foaming information to obtain a second pressure reduction rate; wherein, the second pressure reduction rate is used to reflect the speed at which the pressure value of the adjusted space where the thermoplastic elastomer melt is located decreases per unit time.

[0011] The control device controls the extrusion device to reduce the pressure of the space where the thermoplastic elastomer melt is located at the second pressure reduction rate to obtain a thermoplastic elastomer sheet.

[0012] In the technical solution described above in the embodiments of the present application, at least the following technical effects are achieved:

[0013] The method for improving the shrinkage phenomenon of thermoplastic elastomer sheets provided in the present application includes obtaining melt information for reflecting the size of the thermoplastic elastomer melt extruded by the extrusion device; analyzing according to the melt information to obtain a supercritical fluid injection amount for reflecting the content of the supercritical fluid injected into the thermoplastic elastomer melt by the extrusion device; analyzing according to the melt information and the supercritical fluid injection amount to obtain pressure-holding information for reflecting the pressure magnitude and pressure-holding time before supercritical fluid foaming of the extrusion device; the control device controls the extrusion device to perform a pressure-holding process based on the pressure-holding information, reduces the pressure of the space where the thermoplastic elastomer melt is located based on a first pressure reduction rate, and obtains foaming information in real time for reflecting the change in the size of the foam cells; the first pressure reduction rate is used to reflect the speed at which the pressure value of the space where the thermoplastic elastomer melt is located decreases per unit time; when the foaming information is abnormal, the first pressure reduction rate is adjusted according to the foaming information to obtain a second pressure reduction rate, which is the speed at which the pressure value of the adjusted space where the thermoplastic elastomer melt is located decreases per unit time; the control device controls the extrusion device to reduce the pressure of the space where the thermoplastic elastomer melt is located at the second pressure reduction rate to obtain a thermoplastic elastomer sheet. By analyzing the change of the foam cells and adjusting the pressure reduction rate in real time, this method can effectively manage the nucleation density and growth rate of the foam cells, which is conducive to generating uniformly distributed foam cells. Uniformly distributed foam cells can improve the dimensional stability and mechanical properties of the product, and further significantly reduce the shrinkage phenomenon of thermoplastic elastomer sheets, thereby improving the production efficiency of thermoplastic elastomer sheets.

[0014] In a possible implementation manner of the first aspect, the obtaining foaming information in real time includes:

[0015] Obtain the melt image in real time; wherein, the melt image is used to reflect the size of the cell pores;

[0016] Analyze according to the melt image to obtain foaming information.

[0017] In a possible implementation manner of the first aspect, the analyzing according to the melt image to obtain foaming information includes:

[0018] Analyze according to the initial image of the melt image to obtain the first melt information; wherein, the first melt information is used to reflect the size of the cell pores before pressure reduction;

[0019] Obtain a foaming sequence based on multiple melt images within a preset time; wherein, the foaming sequence includes multiple melt images continuously obtained within the preset time after obtaining the initial image;

[0020] Analyze according to the first melt information and the foaming sequence to obtain foaming information.

[0021] In a possible implementation manner of the first aspect, the analyzing according to the first melt information and the foaming sequence to obtain foaming information includes:

[0022] Analyze according to the foaming sequence to obtain the first foaming rate of the foaming information; wherein, the first foaming rate is used to reflect the size change rate of the cell pores within the preset time;

[0023] Analyze according to the final state image in the foaming sequence to obtain the cell pore uniformity information of the foaming information; wherein, the cell pore uniformity information is used to reflect the uniformity degree of the cell pores at the preset time;

[0024] Analyze according to the first melt information and the final state image to obtain the second foaming rate of the foaming information; wherein, the second foaming rate is used to reflect the size change degree of the cell pores at the preset time.

[0025] In a possible implementation manner of the first aspect, the analyzing according to the final state image in the foaming sequence to obtain the cell pore uniformity information of the foaming information includes:

[0026] Analyze according to the final state image in the foaming sequence to obtain distribution information; wherein, the distribution information is used to reflect the distribution situation of the cell pore sizes;

[0027] Analyze according to the distribution information to obtain a distribution state; wherein, the distribution state is used to reflect the distribution situation of the sizes of the cell pores;

[0028] Analyze according to the distribution state to obtain the cell pore uniformity information.

[0029] In a possible implementation of the first aspect, the analysis based on the distribution information to obtain the distribution state includes:

[0030] Analyze according to the distribution information to obtain the cell mean value; wherein, the cell mean value is used to reflect the average size of all cells.

[0031] Obtain the size floating value, and based on the cell mean value and the size floating value, obtain the normal range.

[0032] Analyze according to the distribution information and the normal range to obtain the first cell information and the second cell information, and use the first cell information and the second cell information as the distribution state; wherein, the first cell information is used to reflect the number of cells whose sizes are not within the normal range among all cells, and the second cell information is used to reflect the number of cells whose sizes are within the normal range among all cells.

[0033] In a possible implementation of the first aspect, the analysis based on the distribution state to obtain the cell uniformity information includes:

[0034] Compare the first cell information with a first preset threshold. When the number of cells reflected by the first cell information is greater than or equal to the first preset threshold, then use the non-uniform condition as the cell uniformity information; wherein, the non-uniform condition is used to reflect that the uniformity degree of the cells is less than the preset uniformity degree, and the size of the cells is not uniform.

[0035] When the number of cells reflected by the first cell information is less than the first preset threshold, analyze according to the first cell information and the second cell information to obtain the uniformity ratio; wherein, the uniformity ratio is used to reflect the ratio of the number of cells whose sizes are not within the normal range to the number of cells whose sizes are within the normal range among all cells.

[0036] When the uniformity ratio is less than a second preset threshold, then use the uniform condition as the cell uniformity information. When the uniformity ratio is greater than or equal to the second preset threshold, then use the non-uniform as the cell uniformity information; wherein, the uniform condition is used to reflect that the uniformity degree of the cells is greater than the preset uniformity degree, and the size of the cells is uniform.

[0037] In a possible implementation of the first aspect, when the foaming information is abnormal, adjusting the first pressure reduction rate according to the foaming information to obtain the second pressure reduction rate includes:

[0038] When the cell uniformity information of the foaming information is the non-uniform condition, analyze according to the first foaming rate to obtain a rate change curve; wherein, the rate change curve is used to reflect the degree of the rate of change of the cell size;

[0039] Analyze according to the rate change curve to obtain a maximum change rate and an average change rate; wherein, the maximum change rate is used to reflect the maximum value of the rate of change of the cell size, and the average change rate is used to reflect the average value of the rate of change of the cell size;

[0040] Perform a difference calculation on the maximum change rate and the average change rate to obtain a rate difference;

[0041] Analyze according to the rate difference to obtain a first adjustment rate;

[0042] Adjust the first pressure reduction rate based on the first adjustment rate to obtain a second pressure reduction rate; wherein, the second pressure reduction rate is used to reflect the difference between the first pressure reduction rate and the first adjustment rate.

[0043] In a possible implementation manner of the first aspect, when the foaming information is abnormal, adjusting the first pressure reduction rate according to the foaming information to obtain a second pressure reduction rate further includes:

[0044] When the cell uniformity information of the foaming information is the uniform condition and the second foaming rate of the foaming information is less than the preset degree, analyze according to the second foaming rate to obtain a remaining foaming time; wherein, the remaining foaming time is used to reflect the time required to continue foaming at the first pressure reduction rate until the cells reach the required final size;

[0045] Analyze according to the final size and the second foaming rate to obtain a size difference; wherein, the size difference is used to reflect the difference between the cell size reflected by the final size and the cell size reflected by the second foaming rate;

[0046] Obtain a third adjustment rate according to the size difference and the remaining foaming time, and determine the third adjustment rate as the second pressure reduction rate.

[0047] In a second aspect, an embodiment of the present application provides a system for improving the shrinkage phenomenon of a thermoplastic elastomer sheet, including:

[0048] An acquisition module, configured to acquire melt information; wherein, the melt information is used to reflect the size of the thermoplastic elastomer melt extruded by an extrusion device;

[0049] The first analysis module is configured to analyze based on the melt information to obtain the supercritical fluid injection amount; wherein, the supercritical fluid injection amount is used to reflect the content of the supercritical fluid injected into the thermoplastic elastomer melt by the extrusion device.

[0050] The second analysis module is configured to analyze based on the melt information and the supercritical fluid injection amount to obtain the pressure holding information; wherein, the pressure holding information is used to reflect the pressure magnitude and the pressure holding time of the extrusion device before supercritical fluid foaming.

[0051] The control acquisition module is configured to control the device to control the extrusion device to reduce the pressure of the space where the thermoplastic elastomer melt is located at a first pressure reduction rate and to acquire the foaming information in real time; wherein, the foaming information is used to reflect the size change of the cells, and the first pressure reduction rate is used to reflect the speed at which the pressure value of the space where the thermoplastic elastomer melt is located decreases per unit time.

[0052] The adjustment module is configured to, when the foaming information is abnormal, adjust the first pressure reduction rate according to the foaming information to obtain a second pressure reduction rate; wherein, the second pressure reduction rate is used to reflect the speed at which the pressure value of the adjusted space where the thermoplastic elastomer melt is located decreases per unit time.

[0053] The control module is configured to control the device to control the extrusion device to reduce the pressure of the space where the thermoplastic elastomer melt is located at the second pressure reduction rate to obtain a thermoplastic elastomer sheet.

[0054] In a third aspect, an embodiment of the present application provides a device for improving the shrinkage phenomenon of a thermoplastic elastomer sheet, including an extrusion device and a control device. The control device is electrically connected to the extrusion device. The control device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the method described in any one of the first aspects above is implemented.

[0055] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, the method described in any one of the first aspects above is implemented.

[0056] In a fifth aspect, an embodiment of the present application provides a computer program product. When the computer program product runs on a device for improving the shrinkage phenomenon of a thermoplastic elastomer sheet, the device for improving the shrinkage phenomenon of a thermoplastic elastomer sheet is caused to execute the method for improving the shrinkage phenomenon of a thermoplastic elastomer sheet described in any one of the first aspects above.

[0057] It can be understood that for the beneficial effects of the above second aspect to fifth aspect, reference can be made to the relevant descriptions in the above first aspect, which will not be elaborated herein. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0059] Figure 1 is a schematic flowchart of a method for improving the shrinkage phenomenon of a thermoplastic elastomer sheet provided by an embodiment of the present application;

[0060] Figure 2 is a schematic flowchart for implementing step S420 in the method for improving the shrinkage phenomenon of a thermoplastic elastomer sheet provided by an embodiment of the present application;

[0061] Figure 3 is a schematic flowchart for implementing step S423 in the method for improving the shrinkage phenomenon of a thermoplastic elastomer sheet provided by an embodiment of the present application;

[0062] Figure 4 is a schematic flowchart for implementing step S4232 in the method for improving the shrinkage phenomenon of a thermoplastic elastomer sheet provided by an embodiment of the present application;

[0063] Figure 5 is a schematic flowchart for implementing step S42322 in the method for improving the shrinkage phenomenon of a thermoplastic elastomer sheet provided by an embodiment of the present application;

[0064] Figure 6 is a schematic flowchart for implementing step S42323 in the method for improving the shrinkage phenomenon of a thermoplastic elastomer sheet provided by an embodiment of the present application;

[0065] Figure 7 is a schematic flowchart for implementing step S500 in the method for improving the shrinkage phenomenon of a thermoplastic elastomer sheet provided by an embodiment of the present application;

[0066] Figure 8 is a schematic structural diagram of a system for improving the shrinkage phenomenon of a thermoplastic elastomer sheet provided by an embodiment of the present application;

[0067] Figure 9 is a schematic structural diagram of a control device of a device for improving the shrinkage phenomenon of a thermoplastic elastomer sheet provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0068] In the following description, specific details such as specific system architectures, technologies, etc. are presented for purposes of illustration and not limitation, so as to provide a thorough understanding of the embodiments of the present application. However, those skilled in the art should clearly understand that the present application can also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid unnecessary details from obscuring the description of the present application.

[0069] It should be understood that when used in the specification of the present application and the appended claims, the term "comprising" indicates the presence of the described features, wholes, steps, operations, elements, and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components, and / or their combinations.

[0070] It should also be understood that the term "and / or" as used in the specification of the present application and the appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0071] As used in the specification of the present application and the appended claims, the term "if" can be interpreted as "when" or "once" or "in response to determining" or "in response to detecting" depending on the context. Similarly, the phrase "if determined" or "if the described condition or event is detected" can be interpreted as meaning "once determined" or "in response to determining" or "once the described condition or event is detected" or "in response to detecting the described condition or event" depending on the context.

[0072] In addition, in the description of the specification of the present application and the appended claims, the terms "first", "second", "third", etc. are only used for distinguishing descriptions and cannot be understood as indicating or implying relative importance.

[0073] The reference to "one embodiment" or "some embodiments" etc. described in the specification of the present application means that a specific feature, structure, or characteristic described in connection with that embodiment is included in one or more embodiments of the present application. Thus, statements such as "in one embodiment", "in some embodiments", "in other some embodiments", "in still other embodiments", etc. that appear in different places in this specification do not necessarily all refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "comprising", "including", "having", and their variants all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0074] Thermoplastic elastomers (TPEs), especially thermoplastic polyurethanes (TPUs), are widely used in various industries due to their excellent mechanical properties, abrasion resistance, and chemical resistance. However, during the production process, especially in the manufacture of TPU sheets through extrusion molding and supercritical foaming processes, a significant problem is often encountered - shrinkage. That is, after supercritical foaming of TPU, due to gas escape, it will shrink and become shriveled, and it can only regain its elasticity through gas exchange over a period of time. By reducing the shrinkage rate of the material, the time for gas exchange can be reduced, thus greatly improving production efficiency.

[0075] In related technologies, the cell structure is usually improved and the anti-shrinkage performance of the material is enhanced by adjusting the composition ratio of the TPU raw material or adding appropriate modifiers such as nucleating agents and plasticizers. For example, adding a polymer with a high glass transition temperature (Tg) can increase the rigidity of the material and slow down the gas diffusion rate. However, this method requires continuous experimental analysis and is relatively difficult.

[0076] To solve the above problems, an embodiment of the present application provides a method for improving the shrinkage phenomenon of thermoplastic elastomer sheets. In this method, melt information reflecting the size of the thermoplastic elastomer melt extruded by the extrusion device is obtained; based on the melt information analysis, the supercritical fluid injection amount reflecting the content of the supercritical fluid injected into the thermoplastic elastomer melt by the extrusion device is obtained; based on the melt information and the supercritical fluid injection amount analysis, the pressure holding information reflecting the pressure magnitude and pressure holding time of the extrusion device before supercritical fluid foaming is obtained; the control device controls the extrusion device to perform pressure holding treatment according to the pressure holding information and reduce the pressure of the space where the thermoplastic elastomer melt is located based on the first pressure reduction rate, and in real-time obtains foaming information reflecting the size change of the cells; the first pressure reduction rate is used to reflect the speed at which the pressure value of the space where the thermoplastic elastomer melt is located decreases per unit time; when the foaming information is abnormal, the first pressure reduction rate is adjusted according to the foaming information to obtain the second pressure reduction rate, which is the speed at which the pressure value of the space where the thermoplastic elastomer melt is located decreases per unit time after adjustment; the control device controls the extrusion device to reduce the pressure of the space where the thermoplastic elastomer melt is located at the second pressure reduction rate to obtain the thermoplastic elastomer sheet. This method can effectively manage the nucleation density and growth rate of the cells by analyzing the changes in the cells and adjusting the pressure reduction rate in real-time, which is conducive to generating uniformly distributed cells. Uniformly distributed cells can improve the dimensional stability and mechanical properties of the product, and thus can significantly reduce the shrinkage phenomenon of thermoplastic elastomer sheets, thereby improving the production efficiency of thermoplastic elastomer sheets.

[0077] The method for improving the shrinkage phenomenon of the thermoplastic elastomer sheet provided by the embodiments of the present application can be applied to the equipment for improving the shrinkage phenomenon of the thermoplastic elastomer sheet. At this time, the equipment for improving the shrinkage phenomenon of the thermoplastic elastomer sheet is the execution subject of the method for improving the shrinkage phenomenon of the thermoplastic elastomer sheet provided by the embodiments of the present application. The embodiments of the present application do not impose any restrictions on the specific type of the equipment for improving the shrinkage phenomenon of the thermoplastic elastomer sheet.

[0078] For example, the equipment for improving the shrinkage phenomenon of the thermoplastic elastomer sheet may include an extrusion device and a control device, and the control device is electrically connected to the extrusion device. The extrusion device is used to extrude the thermoplastic elastomer melt and control the pressure in the space where the thermoplastic elastomer melt is located. The extrusion device may include a melt forming device and a thermoplastic elastomer sheet forming device. The melt forming device is used to extrude and form the thermoplastic elastomer fluid and uniformly inject the supercritical fluid into the melt. For example, the melt forming device may include a forming die and an injection device. Among them, the forming die is used to extrude and form the thermoplastic elastomer fluid, for example, it may be a combination device of a runner and a die; the injection device is used to uniformly inject the supercritical fluid into the melt, for example, it may include a combination device of a high-pressure pump and a nozzle. The thermoplastic elastomer sheet forming device is used to control the pressure in the space where the thermoplastic elastomer melt is located. For example, the thermoplastic elastomer sheet forming device may be a pressure regulating valve, etc., but is not limited thereto. The control device monitors and controls the entire extrusion process.

[0079] For example, the control device may be a mobile phone, a tablet computer, a wearable device, a notebook computer, an ultra-mobile personal computer (UMPC), a netbook, a personal digital assistant (PDA), a desktop computer, a smart large screen, a smart TV and other terminal devices, a handheld device with wireless communication function, a computing device or other processing devices connected to a wireless modem, an Internet of Things terminal, a computer, a laptop computer, a handheld communication device, a handheld computing device, a satellite wireless device, a wireless modem card, etc.

[0080] To better understand the method for improving the shrinkage phenomenon of the thermoplastic elastomer sheet provided by the embodiments of the present application, the following provides an exemplary introduction to the specific implementation process of the method for improving the shrinkage phenomenon of the thermoplastic elastomer sheet provided by the embodiments of the present application.

[0081] Figure 1 The schematic flowchart of the method for improving the shrinkage phenomenon of the thermoplastic elastomer sheet provided by the embodiments of the present application is shown. The method for improving the shrinkage phenomenon of the thermoplastic elastomer sheet includes:

[0082] S100, obtain melt information; wherein, the melt information is used to reflect the size of the thermoplastic elastomer melt extruded by the extrusion device.

[0083] It can be understood that the melt information can be obtained by analyzing the captured melt image through image analysis technology after photographing the melt with a camera or other imaging device; it can also be obtained by the size of the die to get the size of the thermoplastic elastomer melt extruded, etc., but not limited thereto.

[0084] S200, analyze according to the melt information to obtain the supercritical fluid injection amount; wherein, the supercritical fluid injection amount is used to reflect the content of the supercritical fluid injected into the thermoplastic elastomer melt by the extrusion device.

[0085] It can be understood that a supercritical fluid refers to a special state in which a substance is neither in a typical liquid state nor in a typical gaseous state when the temperature and pressure exceed its critical point. For example, the supercritical fluid can be carbon dioxide, nitrogen, etc., but not limited thereto. There is a corresponding supercritical fluid injection amount for different sizes of thermoplastic elastomer melts. Exemplarily, the melt information can be input into the extrusion database for matching to obtain the corresponding supercritical fluid injection amount; the melt information can also be input into the learning model, and the learning model then outputs the corresponding supercritical fluid injection amount, etc., but not limited thereto. The extrusion database refers to a database containing the supercritical fluid injection amounts corresponding to different melt sizes. These data can be obtained through means such as laboratory experiments, on-site measurements and monitoring, and past experience. After obtaining the data, the collected data is sorted, classified, and archived, useful information and rules are extracted, and then the relevant data is saved to the database to form the extrusion database. The learning model is trained with multiple sets of training data, and each set of training data in the multiple sets of training data includes the melt size and the supercritical fluid injection amount.

[0086] S300, analyze according to the melt information and the supercritical fluid injection amount to obtain the pressure holding information; wherein, the pressure holding information is used to reflect the pressure magnitude and the pressure holding time of the extrusion device before supercritical fluid foaming.

[0087] It can be understood that maintaining pressure before supercritical fluid foaming is to ensure that the supercritical fluid can be fully dissolved into the thermoplastic elastomer melt and maintain a stable state, thereby creating good conditions for subsequent uniform foaming. There is a pressure-holding information corresponding to different melt sizes and supercritical fluid injection amounts. Exemplarily, the corresponding pressure-holding information can be obtained by matching the melt information and the supercritical fluid injection amount with those in the foaming database; or the melt information and the supercritical fluid injection amount can be input into a learning model, and the learning model outputs the corresponding pressure-holding information, etc., but not limited to this. The foaming database refers to a database containing the pressure-holding information corresponding to the melt information and the supercritical fluid injection amount. The learning model is trained with multiple sets of training data, and each set of training data in the multiple sets of training data includes the size of the melt, the supercritical fluid injection amount, and the corresponding pressure-holding information.

[0088] S400, the control device controls the extrusion device to perform pressure-holding treatment according to the pressure-holding information and reduces the pressure of the space where the thermoplastic elastomer melt is located based on the first pressure reduction rate, and obtains the foaming information in real time; wherein, the foaming information is used to reflect the change in the size of the foam cells, and the first pressure reduction rate is used to reflect the speed at which the pressure value of the space where the thermoplastic elastomer melt is located decreases per unit time.

[0089] It can be understood that after pressure reduction, the supercritical fluid will gradually lose its supercritical properties and start to form tiny bubbles (nucleation), and these bubbles then rapidly expand, causing the volume of the melt to increase and forming a foam cell structure. The first pressure reduction rate is a preset pressure reduction rate, which can be manually input by humans or obtained from the foaming database, etc., but not limited to this. The foaming information can be obtained by analyzing the image of the thermoplastic elastomer melt after obtaining the melt image through a camera or other imaging devices; or by using the time difference and intensity change of ultrasonic waves penetrating and reflecting back from the melt, the size change and distribution of the foam cells can be measured non-contact, etc., but not limited to this.

[0090] In one possible implementation manner, in step S400, obtaining the foaming information in real time includes:

[0091] S410, obtaining the melt image in real time; wherein, the melt image is used to reflect the size of the foam cells.

[0092] It can be understood that by using a high-speed camera or other imaging devices to take the melt image in real time, it is ensured that the dynamic process of foam cell formation and expansion can be captured. The melt image provides intuitive visual information, reflecting the initial size of the foam cells on the surface of the thermoplastic elastomer melt and their changes over time.

[0093] S420, analyzing according to the melt image to obtain the foaming information.

[0094] It can be understood that by analyzing the obtained melt image through an image processing algorithm, key parameters such as the size of each cell, the average size of the cells, the distribution density, and the growth rate can be calculated, and detailed foaming information can be generated. Exemplarily, the size change and the change degree of the cells within a period of time can be obtained through analysis as the foaming information, or the real-time change of the cell size and the distribution change can be obtained through the analysis of the difference between two adjacent melt images as the foaming information, etc., but not limited thereto.

[0095] With such a setting, the method for obtaining foaming information based on image analysis has the characteristics of high precision and real-time performance, and can effectively monitor the cell size and distribution during the foaming process.

[0096] In a possible implementation, please refer to Figure 2 , in step S420, analyze according to the melt image to obtain foaming information, including:

[0097] S421, analyze according to the initial image of the melt image to obtain the first melt information; wherein, the first melt information is used to reflect the size of the cells before pressure reduction.

[0098] It can be understood that by analyzing the initial image, the basic characteristics of the melt in the non-pressure-reduced state can be obtained, providing a reference basis for subsequent cell changes. This helps to evaluate the cell evolution during the entire foaming process.

[0099] S422, obtain a foaming sequence based on multiple melt images within a preset time; wherein, the foaming sequence includes multiple melt images continuously obtained within the preset time after obtaining the initial image.

[0100] It can be understood that the preset time is a preset analysis period, which can be manually input by a person, or obtained from a foaming database, etc., but not limited thereto.

[0101] S423, analyze according to the first melt information and the foaming sequence to obtain foaming information.

[0102] Exemplarily, the change rate of the cell size within the preset time can be obtained through the analysis of the foaming sequence, and then the cell size distribution can be obtained through the analysis of the cell image on the surface of the melt at the preset time. Then, by comparing the first melt information with the melt image obtained at the preset time, the degree of cell size change can be obtained. The information obtained from the above analysis is used as the foaming information; or the first melt information and the foaming sequence can be input into a learning model, and the learning model then inputs the corresponding foaming information, etc., but not limited thereto.

[0103] With such a setting, by comprehensively analyzing the initial state of the melt image and the foaming sequence, the dynamic change process of the pores from nucleation to expansion can be accurately captured, providing high-precision and real-time foaming information, enabling effective monitoring of the pore size and distribution during the foaming process.

[0104] In a possible implementation, please refer to Figure 3 In step S423, analyze according to the first melt information and the foaming sequence to obtain foaming information, including:

[0105] S4231. Analyze according to the foaming sequence to obtain the first foaming rate of the foaming information; wherein, the first foaming rate is used to reflect the rate of change of the pore size within a preset time.

[0106] It can be understood that the first foaming rate refers to the set of the rates of change of each size in the foaming sequence. Exemplarily, the change in the average size of the pores can be used as the rate of change, that is, calculate the average size of the pores in each image in the foaming sequence, and then calculate the change in the average size reflected by two adjacent images as the rate of change corresponding to the two adjacent images, and analyze the rate of change of the average size between all adjacent two melt images in the foaming sequence in turn. The set of each rate of change is the first foaming rate; it is also possible to use the size of the pores with the largest proportion of the size in each melt image as the size corresponding to the melt image, and then analyze the rate of change between the sizes of the pores with the largest proportion of the size in two adjacent images in the foaming sequence in turn to obtain the first foaming rate, and so on, but not limited to this.

[0107] S4232. Analyze according to the final state image in the foaming sequence to obtain the pore uniformity information of the foaming information; wherein, the pore uniformity information is used to reflect the degree of uniformity of the pores at a preset time.

[0108] It can be understood that the final state image refers to the last obtained melt image in the foaming sequence. The degree of uniformity of the pores refers to the quantity distribution corresponding to the distribution range of the pore sizes, that is, the higher the degree of uniformity of the pores, the more pores are distributed within the same preset size range, and the lower the degree of uniformity of the pores, the more pores are distributed in different preset size ranges, and so on. Exemplarily, the degree of uniformity of the pores can be obtained by setting a size range and analyzing the proportion of the number of pores within this size range; it is also possible to input the final state image into a learning model, and the learning model outputs the corresponding pore uniformity information, and so on, but not limited to this.

[0109] In a possible implementation, please refer to Figure 4 In step S4232, analyze according to the final state image in the foaming sequence to obtain the pore uniformity information of the foaming information, including:

[0110] S42321. Analyze based on the final-state image in the foaming sequence to obtain distribution information; wherein, the distribution information is used to reflect the distribution of cell sizes.

[0111] It can be understood that by analyzing the final-state image, the specific size of each cell and its position in the entire image form a detailed cell size distribution map, which is the distribution information.

[0112] S42322. Analyze based on the distribution information to obtain a distribution state; wherein, the distribution state is used to reflect the distribution of the sizes of the cells.

[0113] Exemplarily, the average size can be calculated based on the size of each cell, then a size distribution interval can be set according to the average size, and then each cell size can be divided based on the size distribution interval to obtain the distribution state; or multiple size intervals can be directly set, and then the sizes of all cells can be matched and divided based on the size intervals to obtain the distribution state, etc., but not limited to this.

[0114] In one possible implementation, please refer to Figure 5 , in step S42322, analyze based on the distribution information to obtain a distribution state, including:

[0115] S423221. Analyze based on the distribution information to obtain a cell mean value; wherein, the cell mean value is used to reflect the average size of all cells.

[0116] It can be understood that the cell mean value reflects the central tendency of the sizes of all cells, and the cell mean value can be obtained by dividing the total value of the sizes of each cell by the corresponding quantity.

[0117] S423222. Obtain a size floating value, and obtain a normal state interval based on the cell mean value and the size floating value.

[0118] It can be understood that the size floating value is a preset value, which is used to reflect the acceptable size of size change. There is a size floating value corresponding to different specifications of plastic elastomer sheets. The size floating value can be manually input by a person, or obtained from the foaming database, etc., but not limited to this. The upper limit of the normal state interval = cell mean value + size floating value, and the lower limit of the normal state interval = cell mean value - size floating value.

[0119] S423223. Analyze based on the distribution information and the normal state interval to obtain first cell information and second cell information, and use the first cell information and the second cell information as the distribution state; wherein, the first cell information is used to reflect the number of cells whose sizes are not within the normal state interval among all cells, and the second cell information is used to reflect the number of cells whose sizes are within the normal state interval among all cells.

[0120] It can be understood that by counting the number of cell sizes outside the normal range, it is the first cell information, and by counting the number of cell sizes within the normal range, it is the second cell information, so as to obtain the distribution state.

[0121] With such a setting, by analyzing the cell size distribution information in detail, calculating the cell mean value as a reference for central tendency, and combining with the preset size floating value to determine the normal range, and then accurately counting the number of cells located and not located within the normal range, it can not only quantitatively evaluate the uniformity of cells, but also timely detect and correct abnormal situations during the foaming process, improving the quality of products and the controllability of the production process.

[0122] S42323. Analyze according to the distribution state to obtain cell uniformity information.

[0123] Exemplarily, it can be judged whether the cell size distribution is uniform by the number of cells not located within the normal range reflected by the distribution state. That is, when the number of cells not located within the normal range is greater than a certain number, the size distribution is uneven. When the number of cells not located within the normal range is less than a certain number, analyze according to the ratio of the number of cells not located within the normal range to the number of cells located within the normal range to judge whether the cell size distribution is uniform; it can also directly input the distribution state into the learning model, and the learning model outputs cell uniformity information, etc., but not limited to this.

[0124] With such a setting, by analyzing the end-state image in the foaming sequence, first obtain the distribution information reflecting the cell size distribution, and then calculate the distribution state describing the distribution state of cells of each size based on this information, and finally evaluate and obtain cell uniformity information according to the distribution state. This method can quantify the cell size distribution and uniformity, ensuring timely detection and correction of abnormal phenomena during the foaming process.

[0125] In a possible implementation, please refer to Figure 6 , in step S42323, analyze according to the distribution state to obtain cell uniformity information, including:

[0126] S423231. Compare the first cell information with the first preset threshold. When the number of cells reflected by the first cell information is greater than or equal to the first preset threshold, then use the non-uniform condition as the cell uniformity information; among them, the non-uniform condition is used to reflect that the uniformity degree of cells is less than the preset uniformity degree, and the size of cells is uneven.

[0127] It can be understood that the first preset threshold is a preset numerical value, and different melt sizes correspond to a first preset threshold. It can be manually input by humans, or obtained from the foaming database, etc., but not limited to this.

[0128] S423232. When the number of cells reflected by the first cell information is less than the first preset threshold, analyze the first cell information and the second cell information to obtain a uniformity ratio, where the uniformity ratio is used to reflect the ratio of the number of cells with sizes not in the normal range to the number of cells with sizes in the normal range among all cells.

[0129] It can be understood that the uniformity ratio = the number of cells with sizes not in the normal range ÷ the number of cells with sizes in the normal range among all cells.

[0130] S423233. When the uniformity ratio is less than the second preset threshold, take the uniform condition as the cell uniformity information; when the uniformity ratio is greater than or equal to the second preset threshold, take the non-uniform as the cell uniformity information. Here, the uniform condition is used to reflect that the uniformity degree of the cells is greater than the preset uniformity degree, and the size of the cells is uneven.

[0131] It can be understood that the second preset threshold is a preset ratio, and different melt sizes correspond to a second preset threshold. It can be manually input by humans or obtained from the foaming database, etc., but not limited to this.

[0132] With such settings, through multi-level threshold comparison and ratio analysis, not only can the abnormal distribution of cell sizes be identified, but also the uniformity degree of the cells can be quantitatively evaluated, ensuring that problems in the foaming process can be discovered and corrected in a timely manner.

[0133] S4233. Analyze the first melt information and the final state image to obtain the second foaming rate of the foaming information, where the second foaming rate is used to reflect the degree of change in the size of the cells at the preset time.

[0134] It can be understood that the second foaming rate = (the cell size reflected by the final state image - the cell size reflected by the first melt information) ÷ the preset time.

[0135] With such settings, by analyzing the initial state and foaming sequence of the melt image in multiple dimensions, the dynamic change process of the cells from nucleation to expansion can be accurately captured. First, by calculating the rate of change in the size of the cells between adjacent images in the foaming sequence, the first foaming rate reflecting the rapid formation and expansion of the cells in the initial stage is obtained; second, based on the final state image, the uniformity degree of the cells at the end of the preset time is evaluated to provide specific information on the cell size distribution; finally, by combining the first melt information and the final state image, the second foaming rate is calculated to quantify the overall size change of the cells during the entire foaming process, enabling a comprehensive evaluation of the formation and development of the cells. By analyzing the melt image and the foaming sequence in multiple dimensions, precise monitoring of the formation and development process of the cells is achieved.

[0136] S500. When the foaming information is abnormal, adjust the first pressure reduction rate according to the foaming information to obtain a second pressure reduction rate. The second pressure reduction rate is used to reflect the speed at which the pressure value in the space where the thermoplastic elastomer melt is located decreases per unit time after adjustment.

[0137] It can be understood that abnormal foaming information means that the cell size is uneven, the cell size is too large or too small, etc. When the cell size is uniform and the cell size meets the expected size within a preset time, the foaming information is normal, and the first pressure reduction rate is used as the second pressure reduction rate, that is, continue to perform pressure reduction processing at the first pressure reduction rate, and analyze and judge whether the foaming information is abnormal according to the above steps in the next preset time. Exemplarily, when the foaming information is abnormal, it can be analyzed through the foaming information, appropriately reduce or increase the pressure reduction rate, extend or accelerate the cell nucleation and growth time, so that the cells can form more uniformly and stably. Exemplarily, when the foaming information is abnormal, it can be analyzed through the first foaming rate or the second foaming rate in the foaming information to obtain the degree of adjustment of the pressure reduction rate, and then combine the first pressure reduction rate to obtain the second pressure reduction rate or directly obtain the second pressure reduction rate through analysis, and replace the first pressure reduction rate with the second pressure reduction rate for pressure reduction; it is also possible to input the foaming information into a learning model, and the learning model outputs the corresponding second pressure reduction rate, etc., but not limited to this.

[0138] In a possible implementation, please refer to Figure 7 , in step S500, when the foaming information is abnormal, adjust the first pressure reduction rate according to the foaming information to obtain a second pressure reduction rate, including:

[0139] S510a. When the cell uniformity information of the foaming information is a non-uniform condition, analyze according to the first foaming rate to obtain a rate change curve. The rate change curve is used to reflect the degree of the rate of change of the cell size.

[0140] It can be understood that the rate of change of the cell size between adjacent images in the foaming sequence can be statistically analyzed, and combined with the time of each change rate as coordinate points to be marked in the coordinate system. After marking all the reflected size change rates in the foaming sequence, connect the change rates in chronological order to generate a curve reflecting the rate of change of the cell size, which is the rate change curve.

[0141] S520a. Analyze according to the rate change curve to obtain a maximum change rate and an average change rate. The maximum change rate is used to reflect the maximum value of the rate of change of the cell size, and the average change rate is used to reflect the average value of the rate of change of the cell size

[0142] It can be understood that the peak value of the highest peak in the rate change curve can be used as the maximum change rate, and the average change rate can be obtained by averaging the values of all data points on the rate change curve.

[0143] S530a. Calculate the difference between the maximum change rate and the average change rate to obtain the rate difference.

[0144] It can be understood that the rate difference = maximum change rate - average change rate. The larger the rate difference, the more unstable the change in cell size.

[0145] S540a. Analyze according to the rate difference to obtain the first adjustment rate.

[0146] It can be understood that the first adjustment rate is used to reflect the adjustment value of the pressure reduction rate. Different rate differences correspond to a first adjustment rate. Exemplarily, the rate difference can be matched with a preset rate difference interval in the foaming database to obtain the first adjustment rate corresponding to the matched preset rate difference interval; or the rate difference can be input into a learning model, and the learning model outputs the corresponding first adjustment rate, and so on, but not limited to this. Among them, different preset rate difference intervals correspond to a first adjustment rate. The preset rate difference interval can be manually input by humans, or obtained from the foaming database, and so on, but not limited to this.

[0147] S550a. Adjust the first pressure reduction rate based on the first adjustment rate to obtain the second pressure reduction rate; wherein, the second pressure reduction rate is used to reflect the difference between the first pressure reduction rate and the first adjustment rate.

[0148] It can be understood that the second pressure reduction rate = first pressure reduction rate - first adjustment rate.

[0149] With such a setting, when the cell foaming is uneven, it indicates that the pressure reduction rate is too large and the pressure reduction rate needs to be reduced. By statistically analyzing the cell size change rate between adjacent images in the foaming sequence and generating a rate change curve, the maximum change rate and the average change rate are extracted from it, and the rate difference is calculated to evaluate the stability of the cell size change. The first adjustment rate is obtained through analysis according to the rate difference, and then the first pressure reduction rate is adjusted to obtain a new second pressure reduction rate. This method can quickly respond to abnormal situations of cell size change and optimize the uniformity and stability of cells by reducing the pressure reduction rate.

[0150] In a possible implementation manner, please refer to Figure 7 , in step S500, when the foaming information is abnormal, adjusting the first pressure reduction rate according to the foaming information to obtain the second pressure reduction rate, further includes:

[0151] S510b. When the cell uniformity information of the foaming information is in a uniform condition and the second foaming rate of the foaming information is greater than a preset level, a difference calculation is performed based on the second foaming rate and the preset level to obtain a level difference.

[0152] It can be understood that when the cell uniformity information of the foaming information is in a uniform condition and the second foaming rate of the foaming information is greater than a preset level, it indicates that the size of the cells at the preset time is larger than the expected size. If the pressure is reduced at the first pressure reduction rate, it may cause the cells to further expand excessively, affecting the structural stability and performance of the product, and even abnormal phenomena such as cell rupture or coalescence may occur, thereby reducing the product quality. The preset level is a preset foaming rate level value. Different melt sizes correspond to a preset level, which can be manually input by humans or obtained from the foaming database, etc., but not limited to this. Level difference = second foaming rate - preset level.

[0153] S520b. Analyze based on the level difference to obtain a second adjustment rate.

[0154] It can be understood that the second adjustment rate is used to reflect the adjustment value of the pressure reduction rate. Different level differences correspond to a second adjustment rate. Exemplarily, the level difference can be matched with the preset level difference interval in the foaming database to obtain the second adjustment rate corresponding to the matched preset level difference interval; or the level difference can be input into the learning model, and the learning model outputs the corresponding second adjustment rate, etc., but not limited to this. Among them, different preset level difference intervals correspond to a second adjustment rate. The preset level difference interval can be manually input by humans or obtained from the foaming database, etc., but not limited to this.

[0155] S530b. Adjust the first pressure reduction rate based on the second adjustment rate to obtain a second pressure reduction rate; where the second pressure reduction rate is used to reflect the difference between the first pressure reduction rate and the second adjustment rate.

[0156] It can be understood that Second pressure reduction rate = First pressure reduction rate - Second adjustment rate.

[0157] With such a setting, when the foaming information shows that the cells are uniform but the second foaming rate is too fast, the level difference between the second foaming rate and the preset level is calculated to quantify the degree to which the cell size exceeds the expectation. The second adjustment rate is obtained by analyzing the level difference, and based on this, the first pressure reduction rate is adjusted to obtain a new second pressure reduction rate. When the cells are already uniform but the size is too large, the pressure reduction rate can be slowed down in a timely manner to prevent the cells from further expanding excessively, avoid affecting the structural stability and performance of the product, and reduce the occurrence of abnormal phenomena such as cell rupture or coalescence.

[0158] In a possible implementation, please refer to Figure 7, in step S500, when the foaming information is abnormal, adjusting the first pressure reduction rate according to the foaming information to obtain a second pressure reduction rate, further including:

[0159] S510c, when the cell uniformity information of the foaming information is in a uniform condition and the second foaming rate of the foaming information is less than a preset degree, analyzing according to the second foaming rate to obtain the remaining foaming time; wherein, the remaining foaming time is used to reflect the time required to continue foaming at the first pressure reduction rate until the cells reach the required final size.

[0160] It can be understood that when the cell uniformity information of the foaming information is in a uniform condition and the second foaming rate of the foaming information is less than a preset degree, it means that the size of the cells at the preset time is smaller than the expected size. If the pressure is reduced at the first pressure reduction rate, it may cause the cell size to not reach the expected size within the specified time, or the foaming time needs to be extended, resulting in a reduction in production efficiency. The final size refers to the foaming size required by the process, which can be manually input by humans or obtained from a database, etc., but is not limited to this. The remaining foaming time can be obtained by simulating and analyzing based on the second foaming rate, that is, the remaining foaming time required for foaming until the melt size meets the expected size when reducing the pressure at the first pressure reduction rate; or the second foaming rate, the first pressure reduction rate, and the final size can be input into a learning model, and the learning model outputs the corresponding remaining foaming time, etc., but is not limited to this.

[0161] S520c, analyzing according to the final size and the second foaming rate to obtain a size difference; wherein, the size difference is used to reflect the difference between the cell size reflected by the final size and the cell size reflected by the second foaming rate.

[0162] It can be understood that size difference = cell size reflected by the final size - cell size reflected by the second foaming rate.

[0163] S530c, obtaining a third adjustment rate according to the size difference and the remaining foaming time, and determining the third adjustment rate as the second pressure reduction rate.

[0164] It can be understood that third adjustment rate = size difference ÷ remaining foaming time.

[0165] With such a setting, by analyzing the size difference between the final size and the cell size reflected by the current second foaming rate, and combining the remaining foaming time, the third adjustment rate is calculated and determined as the second pressure reduction rate. This method enables the cells to reach the ideal size within the specified time, without affecting the size uniformity, optimizes the production efficiency, and enhances the controllability and consistency of the production process.

[0166] In the S600, the control device controls the extrusion device to reduce the pressure of the space where the thermoplastic elastomer melt is located at a second pressure reduction rate to obtain a thermoplastic elastomer sheet.

[0167] With such a setting, through multi-level and multi-dimensional data analysis and real-time feedback control mechanism, refined management of the foaming process of thermoplastic elastomer sheets is achieved. It can not only effectively prevent problems such as uneven cell size and excessive expansion, but also ensure that the cells reach the ideal size within a specified time, thereby improving the physical properties and usage effects of the product. By detecting the relevant parameters of the cells of the thermoplastic elastomer melt and adaptively adjusting the pressure reduction rate, the structure of the thermoplastic elastomer sheet can be made uniform, and thus the shrinkage phenomenon of the thermoplastic elastomer sheet can be reduced. At the same time, this method enhances the flexibility and controllability of the production process, reduces production costs, and improves the overall production efficiency.

[0168] It should be understood that the magnitudes of the sequence numbers of the steps in the above embodiments do not mean the order of execution. The execution order of each process should be determined according to its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

[0169] Corresponding to the method for improving the shrinkage phenomenon of thermoplastic elastomer sheets described in the above embodiments, the embodiments of the present application also provide a system for improving the shrinkage phenomenon of thermoplastic elastomer sheets. Each module of this system can implement each step of the method for improving the shrinkage phenomenon of thermoplastic elastomer sheets. Figure 8 The structural block diagram of the system for improving the shrinkage phenomenon of thermoplastic elastomer sheets provided by the embodiments of the present application is shown. For the sake of convenience of description, only the parts related to the embodiments of the present application are shown.

[0170] Refer to Figure 8 , the system for improving the shrinkage phenomenon of thermoplastic elastomer sheets includes:

[0171] An acquisition module, configured to acquire melt information; wherein, the melt information is used to reflect the size of the thermoplastic elastomer melt extruded by the extrusion device.

[0172] A first analysis module, configured to analyze according to the melt information to obtain the supercritical fluid injection amount; wherein, the supercritical fluid injection amount is used to reflect the content of the supercritical fluid injected into the thermoplastic elastomer melt by the extrusion device.

[0173] A second analysis module, configured to analyze according to the melt information and the supercritical fluid injection amount to obtain the pressure holding information; wherein, the pressure holding information is used to reflect the pressure magnitude and pressure holding time of the extrusion device before supercritical fluid foaming.

[0174] A control acquisition module is configured to control a device to control an extrusion device to perform pressure holding processing based on pressure holding information and reduce the pressure in the space where the thermoplastic elastomer melt is located based on a first pressure reduction rate, and to acquire foaming information in real time; wherein, the foaming information is used to reflect the change in the size of the foam cells, and the first pressure reduction rate is used to reflect the speed at which the pressure value in the space where the thermoplastic elastomer melt is located decreases per unit time.

[0175] An adjustment module is configured to, when the foaming information is abnormal, adjust the first pressure reduction rate according to the foaming information to obtain a second pressure reduction rate; wherein, the second pressure reduction rate is used to reflect the speed at which the pressure value in the adjusted space where the thermoplastic elastomer melt is located decreases per unit time.

[0176] A control module is configured to control a device to control an extrusion device to reduce the pressure in the space where the thermoplastic elastomer melt is located at the second pressure reduction rate to obtain a thermoplastic elastomer sheet.

[0177] It should be noted that, regarding the information interaction, execution process, etc. between the above modules, since they are based on the same concept as the method embodiment of the present application, for their specific functions and the technical effects brought about, reference can be specifically made to the method embodiment section, and details will not be elaborated here.

[0178] Those skilled in the art can clearly understand that, for the convenience and conciseness of description, only the above division of each module is used as an example for illustration. In practical applications, the above functions can be allocated to different modules according to needs, that is, the internal structure of the system is divided into different modules to complete all or part of the functions described above. Each module in the embodiment can be integrated in a processing unit, or each module can exist physically alone, or two or more modules can be integrated in one unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit. In addition, the specific names of each module are only for the convenience of mutual distinction and do not limit the protection scope of the present application. The specific working process of the modules in the above system can refer to the corresponding process in the foregoing method embodiment, and details will not be elaborated here.

[0179] An embodiment of the present application further provides a device for improving the shrinkage phenomenon of a thermoplastic elastomer sheet, including an extrusion device and a control device, and the control device is electrically connected to the extrusion device. Figure 9 It is a schematic structural diagram of a control device 6 provided by an embodiment of the present application. As Figure 9 shown, the control device 6 of this embodiment includes: at least one processor 60 ( Figure 9 only one is shown herein), at least one memory 61 ( Figure 9only one is shown) and a computer program 62 stored in the at least one memory 61 and executable on the at least one processor 60. When the processor 60 executes the computer program 62, the control device 6 is caused to implement the steps in any of the above method embodiments for improving the shrinkage phenomenon of the thermoplastic elastomer sheet, or the control device 6 is caused to implement the functions of the various modules in the above system embodiment.

[0180] Exemplarily, the computer program 62 may be divided into one or more modules / units, and the one or more modules / units are stored in the memory 61 and executed by the processor 60 to complete the present application. The one or more modules / units may be a series of computer program instruction segments capable of performing specific functions, and these instruction segments are used to describe the execution process of the computer program 62 in the control device 6.

[0181] The control device 6 may be a computing device such as a desktop computer, a notebook, a palm computer, or a cloud server. The device for improving the shrinkage phenomenon of the thermoplastic elastomer sheet may include, but is not limited to, a processor 60 and a memory 61. Those skilled in the art can understand that Figure 9 merely examples of the control device 6, which do not constitute a limitation on the control device 6, may include more or fewer components than shown in the figure, or combine certain components, or different components. For example, it may also include input / output devices, network access devices, buses, etc.

[0182] The processor 60 may be a central processing unit (CPU), and the processor 60 may also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0183] In some embodiments, the memory 61 may be an internal storage unit of the control device 6, such as the hard disk or memory of the control device 6. In other embodiments, the memory 61 may also be an external storage device of the control device 6, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, etc. equipped on the control device 6. Further, the memory 61 may also include both the internal storage unit of the control device 6 and external storage devices. The memory 61 is used to store an operating system, application programs, a BootLoader, data, and other programs, such as the program code of the computer program. The memory 61 may also be used to temporarily store data that has been output or is to be output.

[0184] An embodiment of the present application also provides a computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, the steps in any of the above method embodiments are implemented.

[0185] An embodiment of the present application provides a computer program product, and when the computer program product runs on a device for improving the shrinkage phenomenon of a thermoplastic elastomer sheet, the device for improving the shrinkage phenomenon of a thermoplastic elastomer sheet implements the steps in any of the above method embodiments.

[0186] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, to implement all or part of the processes in the above embodiment methods of the present application, a computer program can be used to instruct relevant hardware to complete. The computer program can be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps in the above method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, an executable file, or some intermediate form, etc. The computer-readable medium may at least include: any entity or device capable of carrying the computer program code to a device for improving the shrinkage phenomenon of a thermoplastic elastomer sheet, a recording medium, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium. For example, a USB flash drive, a mobile hard disk, a magnetic disk, or an optical disc, etc.

[0187] In the above embodiments, the descriptions of the various embodiments have their own emphases. For parts not described in detail or recorded in a certain embodiment, reference may be made to the relevant descriptions of other embodiments.

[0188] Those of ordinary skill in the art will appreciate that the units and algorithm steps of the examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or in a combination of computer software and electronic hardware. Whether these functions are executed in hardware or software depends on the specific application and design constraints of the technical solution. A professional technician can use different methods for each specific application to implement the described functions, but such implementation should not be considered to exceed the scope of this application.

[0189] In the embodiments provided in this application, it should be understood that the devices and systems for improving the shrinkage phenomenon of thermoplastic elastomer sheets can be implemented in other ways. For example, the system embodiments for improving the shrinkage phenomenon of thermoplastic elastomer sheets described above are merely illustrative. For example, the division of the modules is only a logical function division. In actual implementation, there may be other division methods. For example, multiple modules can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the couplings or direct couplings or communication connections shown or discussed with each other can be indirect couplings or communication connections through some interfaces, devices or modules, and can be in electrical, mechanical or other forms.

[0190] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, that is, they can be located in one place, or can be distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0191] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them; although this application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A method for improving shrinkage of a thermoplastic elastomer sheet, characterized in that: include: Acquiring melt information; wherein the melt information is used to reflect the size of the thermoplastic elastomer melt extruded by the extrusion device; Analyze the melt information to obtain the supercritical fluid injection amount; wherein the supercritical fluid injection amount is used to reflect the content of the supercritical fluid injected into the thermoplastic elastomer melt by the extrusion device; Analyze the melt information and the supercritical fluid injection amount to obtain holding pressure information; wherein the holding pressure information is used to reflect the pressure and holding time of the extrusion device before the supercritical fluid foams; The control device controls the extrusion device to perform pressure holding processing according to the pressure holding information and to reduce the pressure in the space where the thermoplastic elastomer melt is located based on a first pressure reduction rate, and obtains foaming information in real time; wherein the foaming information is used to reflect the size change of the foam cells, and the first pressure reduction rate is used to reflect the speed at which the pressure value in the space where the thermoplastic elastomer melt is located decreases within a unit time; When the foaming information is abnormal, the first pressure reduction rate is adjusted according to the foaming information to obtain a second pressure reduction rate; wherein the second pressure reduction rate is used to reflect the speed at which the pressure value of the space where the thermoplastic elastomer melt is located decreases per unit time after adjustment; The control device controls the extrusion device to reduce the pressure in the space where the thermoplastic elastomer melt is located at the second pressure reduction rate to obtain a thermoplastic elastomer sheet.

2. The method for improving shrinkage of a thermoplastic elastomer sheet according to claim 1, characterized in that: The real-time acquisition of foaming information includes: Acquire a melt image in real time; wherein the melt image is used to reflect the size of the pores; The melt image is analyzed to obtain foaming information.

3. The method for improving shrinkage of a thermoplastic elastomer sheet according to claim 2, characterized in that: The step of analyzing the melt image to obtain foaming information includes: Analyzing the initial image of the melt image to obtain first melt information; wherein the first melt information is used to reflect the size of the pores before pressure reduction; Obtaining a foaming sequence based on a plurality of the melt images within a preset time; wherein the foaming sequence includes a plurality of the melt images continuously acquired within the preset time after acquiring the initial image; The foaming information is obtained by analyzing the first melt information and the foaming sequence.

4. The method for improving shrinkage of a thermoplastic elastomer sheet according to claim 3, characterized in that: The step of analyzing the first melt information and the foaming sequence to obtain the foaming information comprises: Analyze the foaming sequence to obtain a first foaming rate of foaming information; wherein the first foaming rate is used to reflect the size change rate of the foam cells within the preset time; Analyzing the final state image in the foaming sequence to obtain the cell uniformity information of the foaming information; wherein the cell uniformity information is used to reflect the uniformity of the cells at the preset time; The second foaming rate of the foaming information is obtained by analyzing the first melt information and the final state image; wherein the second foaming rate is used to reflect the degree of size change of the pores at the preset time.

5. The method for improving shrinkage of a thermoplastic elastomer sheet according to claim 4, characterized in that: The step of analyzing the final state image in the foaming sequence to obtain the uniform cell information of the foaming information includes: Analyzing the final state image in the foaming sequence to obtain distribution information; wherein the distribution information is used to reflect the distribution of the cell sizes; Analyze the distribution information to obtain a distribution state, wherein the distribution state is used to reflect the distribution of each size of the pores; According to the distribution state, analysis is performed to obtain the uniformity information of the pores.

6. The method for improving shrinkage of a thermoplastic elastomer sheet according to claim 5, characterized in that: The step of analyzing the distribution information to obtain a distribution state includes: Analyze the distribution information to obtain a cell mean value; wherein the cell mean value is used to reflect the average size of all cells; Obtaining a size fluctuation value, and obtaining a normal range based on the cell mean value and the size fluctuation value; According to the distribution information and the normal interval, analysis is performed to obtain first cell information and second cell information, and the first cell information and the second cell information are used as distribution states; wherein the first cell information is used to reflect the number of cells whose sizes are not within the normal interval, and the second cell information is used to reflect the number of cells whose sizes are within the normal interval.

7. The method for improving shrinkage of a thermoplastic elastomer sheet according to claim 6, characterized in that: The analysis based on the distribution state to obtain cell uniformity information includes: The first cell information is compared with a first preset threshold value. When the number of cells reflected by the first cell information is greater than or equal to the first preset threshold value, the non-uniform condition is used as the cell uniformity information; wherein the non-uniform condition is used to reflect that the uniformity of the cells is less than the preset uniformity and the size of the cells is uneven; When the number of cells reflected by the first cell information is less than the first preset threshold, an analysis is performed based on the first cell information and the second cell information to obtain a uniform ratio; wherein the uniform ratio is used to reflect the ratio of the number of cells whose sizes are not within the normal range to the number of all cells whose sizes are within the normal range; When the uniformity ratio is less than the second preset threshold, the uniformity condition is used as the uniformity information of the pores; when the uniformity ratio is greater than or equal to the second preset threshold, the non-uniformity is used as the uniformity information of the pores; wherein the uniformity condition is used to reflect that the uniformity of the pores is greater than the preset uniformity and the size of the pores is uniform.

8. The method for improving shrinkage of a thermoplastic elastomer sheet according to claim 7, characterized in that: When the foaming information is abnormal, adjusting the first pressure reduction rate according to the foaming information to obtain a second pressure reduction rate includes: When the cell uniformity information of the foaming information is the non-uniform condition, an analysis is performed according to the first foaming rate to obtain a rate change curve; wherein the rate change curve is used to reflect the degree of the rate of change of the cell size; Analyze the rate change curve to obtain the maximum change rate and the average change rate; wherein the maximum change rate is used to reflect the maximum value of the rate of change of the pore size, and the average change rate is used to reflect the average value of the rate of change of the pore size; Calculate the difference between the maximum change rate and the average change rate to obtain a rate difference; Analyze the rate difference to obtain a first adjustment rate; The first voltage reduction rate is adjusted based on the first adjustment rate to obtain a second voltage reduction rate; wherein the second voltage reduction rate is used to reflect the difference between the first voltage reduction rate and the first adjustment rate.

9. The method for improving shrinkage of a thermoplastic elastomer sheet according to claim 7, characterized in that: When the foaming information is abnormal, adjusting the first pressure reduction rate according to the foaming information to obtain a second pressure reduction rate also includes: When the cell uniformity information of the foaming information is the uniform condition, and the second foaming rate of the foaming information is greater than a preset degree, a difference calculation is performed according to the second foaming rate and the preset degree to obtain a degree difference; Analyze according to the degree difference to obtain a second adjustment rate; The first voltage reduction rate is adjusted based on the second adjustment rate to obtain a second voltage reduction rate; wherein the second voltage reduction rate is used to reflect the difference between the first voltage reduction rate and the second adjustment rate.

10. The method for improving shrinkage of a thermoplastic elastomer sheet according to claim 9, characterized in that: When the foaming information is abnormal, adjusting the first pressure reduction rate according to the foaming information to obtain a second pressure reduction rate also includes: When the cell uniformity information of the foaming information is the uniform condition, and the second foaming rate of the foaming information is less than the preset degree, the remaining foaming time is obtained by analyzing the second foaming rate; wherein the remaining foaming time is used to reflect the time required to continue foaming at the first depressurization rate until the cells reach the desired final size; Analyze the final size and the second foaming rate to obtain a size difference; wherein the size difference is used to reflect the difference between the cell size reflected by the final size and the cell size reflected by the second foaming rate; A third adjustment rate is obtained according to the size difference and the remaining foaming time, and the third adjustment rate is determined as the second pressure reduction rate.

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