Method for improving shrinkage phenomenon of thermoplastic elastomer plate

Abstract

The invention is suitable for the technical field of thermoplastic elastomer production, and particularly relates to a method for improving the shrinkage phenomenon of a thermoplastic elastomer plate, and the method for improving the shrinkage phenomenon of the thermoplastic elastomer plate comprises the following steps: obtaining melt information; analyzing according to the melt information to obtain a supercritical fluid injection rate; analyzing according to the melt information and the supercritical fluid injection amount to obtain pressure maintaining information; the control device controls the extrusion device to perform pressure maintaining treatment according to the pressure maintaining information, depressurizes the space where the thermoplastic elastomer melt is located based on the first depressurization rate, and obtains foaming information in real time; when the foaming information is abnormal, adjusting the first pressure reduction rate according to the foaming information to obtain a second pressure reduction rate; and the control device controls the extrusion device to depressurize the space where the thermoplastic elastomer melt is located at a second depressurization rate so as to obtain the thermoplastic elastomer plate. The method is favorable for generating uniformly distributed foam holes and reducing the shrinkage phenomenon of the thermoplastic elastomer plate.

Description

Technical Field

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

[0002] Thermoplastic elastomers (TPE), especially thermoplastic polyurethanes (TPU), are widely used in various industries due to their excellent mechanical properties, wear resistance and chemical resistance. However, in the production process, especially TPU sheets manufactured by extrusion molding and supercritical foaming processes, a significant problem often occurs - shrinkage, that is, TPU will shrink and shrivel after supercritical foaming due to gas escape, and it will take a period of gas exchange to restore elasticity; by reducing the shrinkage rate of the material, the time of gas exchange can be reduced, thereby greatly improving production efficiency.

[0003] In the related technology, the cell structure is usually improved by adjusting the composition ratio of TPU raw materials or adding appropriate nucleating agents, plasticizers and other modifiers to improve the shrinkage resistance of the material. 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 difficult. Summary of the invention

[0004] The embodiment of the present application provides a method for improving the shrinkage phenomenon of a thermoplastic elastomer sheet, which can solve the problem of low production efficiency of a TPU sheet manufactured by extrusion molding and supercritical foaming process due to the shrinkage phenomenon.

[0005] In a first aspect, an embodiment of the present application provides a method for improving shrinkage of a thermoplastic elastomer sheet, comprising: 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 within a unit time after the 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.

[0006] The above technical solutions in the embodiments of the present application have at least the following technical effects: The method for improving the shrinkage phenomenon of a thermoplastic elastomer sheet provided by the present application comprises the following steps: obtaining melt information reflecting the size of a thermoplastic elastomer melt extruded by an extruder; analyzing the melt information to obtain a supercritical fluid injection amount reflecting the content of a supercritical fluid injected into the thermoplastic elastomer melt by the extruder; analyzing the melt information and the supercritical fluid injection amount to obtain pressure holding information reflecting the pressure size and pressure holding time of the extruder before supercritical fluid foaming; and controlling the extruder to perform pressure holding processing according to the pressure holding information and based on a first pressure reduction rate The space where the thermoplastic elastomer melt is located is depressurized, and foaming information used to reflect the size change of the pores is obtained in real time; the first depressurization rate is used to reflect the speed at which the pressure value of the space where the thermoplastic elastomer melt is located decreases within a unit time; when the foaming information is abnormal, the first depressurization rate is adjusted according to the foaming information to obtain the second depressurization rate of the speed at which the pressure value of the space where the thermoplastic elastomer melt is located decreases within a unit time after adjustment; the control device controls the extrusion device to depressurize the space where the thermoplastic elastomer melt is located at the second depressurization rate to obtain a thermoplastic elastomer sheet. This method can effectively manage the nucleation density and growth rate of the pores by analyzing the changes in the pores and adjusting the depressurization rate in real time, thereby facilitating the generation of uniformly distributed pores, and the uniformly distributed pores can improve the dimensional stability and mechanical properties of the product, and further can significantly reduce the shrinkage of the thermoplastic elastomer sheet, thereby improving the production efficiency of the thermoplastic elastomer sheet.

[0007] In a possible implementation manner of the first aspect, 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.

[0008] In a possible implementation manner of the first aspect, 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.

[0009] In a possible implementation manner of the first aspect, the step of analyzing the first melt information and the foaming sequence to obtain the foaming information includes: 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.

[0010] In a possible implementation of the first aspect, the analyzing the final state image in the foaming sequence to obtain the cell uniformity 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.

[0011] In a possible implementation manner of the first aspect, the performing analysis according to 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.

[0012] In a possible implementation of the first aspect, the performing analysis according to 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.

[0013] 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 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.

[0014] 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: 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.

[0015] In a second aspect, an embodiment of the present application provides a system for improving shrinkage of a thermoplastic elastomer sheet, comprising: An acquisition module, used for acquiring melt information; wherein the melt information is used for reflecting the size of the thermoplastic elastomer melt extruded by the extrusion device; A first analysis module is used to analyze the melt information to obtain a 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; A second analysis module is used to analyze the melt information and the supercritical fluid injection amount to obtain pressure holding information; wherein the pressure holding information is used to reflect the pressure size and pressure holding time of the extrusion device before the supercritical fluid foaming; A control acquisition module, used for controlling the extrusion device to reduce the pressure of the space where the thermoplastic elastomer melt is located at a first pressure reduction rate, and obtaining 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 of the space where the thermoplastic elastomer melt is located decreases per unit time; An adjustment module, used for adjusting the first pressure reduction rate according to the foaming information to obtain a second pressure reduction rate when the foaming information is abnormal; 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 within a unit time after the adjustment; A control module is used for the control device to control 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.

[0016] In a third aspect, an embodiment of the present application provides an apparatus for improving the shrinkage phenomenon of a thermoplastic elastomer sheet, comprising an extrusion device and a control device, wherein the control device is electrically connected to the extrusion device, and wherein the control device comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements any of the methods described in the first aspect when executing the computer program.

[0017] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method described in any one of the above-mentioned first aspects is implemented.

[0018] In a fifth aspect, an embodiment of the present application provides a computer program product. When the computer program product is run 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 performs the method for improving the shrinkage phenomenon of a thermoplastic elastomer sheet described in any one of the first aspects above.

[0019] It can be understood that the beneficial effects of the second to fifth aspects mentioned above can be found in the relevant description of the first aspect mentioned above, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0021] Figure 1 It is a schematic flow chart of a method for improving shrinkage of a thermoplastic elastomer sheet provided in an embodiment of the present application; Figure 2 It is a schematic diagram of the implementation process of step S420 in the method for improving the shrinkage phenomenon of the thermoplastic elastomer sheet provided in an embodiment of the present application; Figure 3 It is a schematic diagram of the implementation process of step S423 in the method for improving the shrinkage phenomenon of the thermoplastic elastomer sheet provided in the embodiment of the present application; Figure 4 It is a schematic diagram of the implementation process of step S4232 in the method for improving the shrinkage phenomenon of the thermoplastic elastomer sheet provided in an embodiment of the present application; Figure 5 It is a schematic diagram of the implementation process of step S42322 in the method for improving the shrinkage phenomenon of the thermoplastic elastomer sheet provided in an embodiment of the present application; Figure 6 It is a schematic diagram of the implementation process of step S42323 in the method for improving the shrinkage phenomenon of the thermoplastic elastomer sheet provided in an embodiment of the present application; Figure 7 It is a schematic diagram of the implementation process of step S500 in the method for improving the shrinkage phenomenon of the thermoplastic elastomer sheet provided in the embodiment of the present application; Figure 8 It is a schematic structural diagram of a system for improving shrinkage of a thermoplastic elastomer sheet provided in an embodiment of the present application; Fig. 9 It is a structural schematic diagram of a control device of an apparatus for improving shrinkage of a thermoplastic elastomer sheet provided in an embodiment of the present application. DETAILED DESCRIPTION

[0022] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may 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 prevent unnecessary details from obstructing the description of the present application.

[0023] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of 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 combinations thereof.

[0024] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0025] As used in the specification of this application and the appended claims, the term "if" can be interpreted as "when" or "uponce" or "in response to determining" or "in response to detecting" depending on the context. Similarly, the phrase "if it is determined" or "if the described condition or event is detected" can be interpreted as meaning "uponce it is determined" or "in response to determining" or "uponce the described condition or event is detected" or "in response to detecting the described condition or event" depending on the context.

[0026] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0027] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0028] Thermoplastic elastomers (TPE), especially thermoplastic polyurethanes (TPU), are widely used in various industries due to their excellent mechanical properties, wear resistance and chemical resistance. However, in the production process, especially TPU sheets manufactured by extrusion molding and supercritical foaming processes, a significant problem often occurs - shrinkage, that is, TPU will shrink and shrivel after supercritical foaming due to gas escape, and it will take a period of gas exchange to restore elasticity; by reducing the shrinkage rate of the material, the time of gas exchange can be reduced, thereby greatly improving production efficiency.

[0029] In the related technology, the cell structure is usually improved by adjusting the composition ratio of TPU raw materials or adding appropriate nucleating agents, plasticizers and other modifiers to improve the shrinkage resistance of the material. 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 difficult.

[0030] In order to solve the above problems, an embodiment of the present application provides a method for improving the shrinkage phenomenon of a thermoplastic elastomer sheet. In the method, melt information reflecting the size of a thermoplastic elastomer melt extruded by an extruder is obtained; the melt information is analyzed to obtain a supercritical fluid injection amount reflecting the content of a supercritical fluid injected into the thermoplastic elastomer melt by the extruder; the melt information and the supercritical fluid injection amount are analyzed to obtain pressure holding information reflecting the pressure size and pressure holding time of the extruder before the supercritical fluid foaming; a control device controls the extruder to perform pressure holding processing according to the pressure holding information and depressurize the space where the thermoplastic elastomer melt is located based on a first depressurization rate, and obtains foaming information reflecting the size change of the pores in real time; the first depressurization rate is used to reflect the speed at which the pressure value of the space where the thermoplastic elastomer melt is located decreases within a unit time; when the foaming information is abnormal, the first depressurization rate is adjusted according to the foaming information to obtain a second depressurization rate indicating the speed at which the pressure value of the space where the thermoplastic elastomer melt is located decreases within a unit time after the adjustment; the control device controls the extruder to depressurize the space where the thermoplastic elastomer melt is located at the second depressurization rate to obtain a 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 depressurization rate in real time, which is conducive to producing uniformly distributed cells. Uniformly distributed cells can improve the dimensional stability and mechanical properties of the product, and can significantly reduce the shrinkage of the thermoplastic elastomer sheet, thereby improving the production efficiency of the thermoplastic elastomer sheet.

[0031] The method for improving the shrinkage phenomenon of thermoplastic elastomer sheets provided in the embodiment of the present application can be applied to a device for improving the shrinkage phenomenon of thermoplastic elastomer sheets. In this case, the device for improving the shrinkage phenomenon of thermoplastic elastomer sheets is the executor of the method for improving the shrinkage phenomenon of thermoplastic elastomer sheets provided in the embodiment of the present application. The embodiment of the present application does not impose any restrictions on the specific type of device for improving the shrinkage phenomenon of thermoplastic elastomer sheets.

[0032] For example, an apparatus for improving the shrinkage phenomenon of a thermoplastic elastomer sheet may include an extrusion device and a control device, wherein the control device is electrically connected to the extrusion device. The extrusion device is used to extrude a thermoplastic elastomer melt and to control the pressure of a 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 a thermoplastic elastomer fluid and uniformly inject a supercritical fluid into the melt. For example, the melt forming device may include a forming mold and an injection device, wherein the forming mold is used to extrude and form a thermoplastic elastomer fluid, such as a flow channel and a mold combination device; the injection device is used to uniformly inject a supercritical fluid into the melt, such as a high-pressure pump and a nozzle combination device. The thermoplastic elastomer sheet forming device is used to control the pressure of a 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.

[0033] For example, the control device can be a mobile phone, tablet computer, wearable device, laptop computer, ultra-mobile personal computer (UMPC), netbook, personal digital assistant (PDA), desktop computer, smart screen, smart TV and other terminal devices, handheld devices with wireless communication function, computing devices or other processing devices connected to a wireless modem, Internet of Things terminals, computers, laptop computers, handheld communication devices, handheld computing devices, satellite wireless devices, wireless modem cards, etc.

[0034] In order to better understand the method for improving the shrinkage phenomenon of a thermoplastic elastomer sheet provided in the embodiment of the present application, the specific implementation process of the method for improving the shrinkage phenomenon of a thermoplastic elastomer sheet provided in the embodiment of the present application is exemplarily introduced below.

[0035] Figure 1 A schematic flow chart of a method for improving shrinkage of a thermoplastic elastomer sheet provided in an embodiment of the present application is shown. The method for improving shrinkage of a thermoplastic elastomer sheet includes: S100, obtaining melt information; wherein the melt information is used to reflect the size of the thermoplastic elastomer melt extruded by the extrusion device.

[0036] It can be understood that the melt information can be obtained by photographing the melt with a camera or other imaging equipment and analyzing the photographed melt image through image analysis technology; the size of the extruded thermoplastic elastomer melt can also be obtained by the size of the mold, etc., but not limited to this.

[0037] S200, analyzing the melt information to obtain a 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.

[0038] It can be understood that supercritical fluid refers to a special state in which a substance is neither a typical liquid nor a typical gas when the temperature and pressure exceed its critical point. For example, supercritical fluid can be carbon dioxide, nitrogen, etc., but not limited to this. The size of different thermoplastic elastomer melts corresponds to a supercritical fluid injection amount. 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 outputs the corresponding supercritical fluid injection amount, etc., but not limited to this. The extrusion database refers to a database containing the supercritical fluid injection amount corresponding to the size of different melts. These data can be obtained through laboratory experiments, on-site measurements and monitoring, and previous experience. After obtaining, the collected data is sorted, classified and archived, useful information and rules are extracted, and the relevant data is saved in the database to form an 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 size of the melt and the supercritical fluid injection amount.

[0039] S300, analyzing 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 size and holding pressure time of the extrusion device before the supercritical fluid foaming.

[0040] It can be understood that the purpose of holding pressure before supercritical fluid foaming is to ensure that the supercritical fluid can fully dissolve into the thermoplastic elastomer melt and maintain a stable state, thereby creating good conditions for subsequent uniform foaming. There is a corresponding holding pressure information for different melt sizes and supercritical fluid injection amounts. Exemplarily, the corresponding holding pressure information can be obtained by matching the melt information and the supercritical fluid injection amount with the foaming database; or the melt information and the supercritical fluid injection amount can be input into the learning model, and the learning model outputs the corresponding holding pressure information, etc., but not limited to this. The foaming database refers to a database that contains the holding pressure 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 and the supercritical fluid injection amount and the corresponding holding pressure information.

[0041] S400, the control device controls the extrusion device to perform pressure holding processing according to the pressure holding information and reduce the pressure in the space where the thermoplastic elastomer melt is located based on the 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 per unit time.

[0042] It is understood that after depressurization, the supercritical fluid will gradually lose its supercritical properties and begin to form tiny bubbles (nucleation), which then expand rapidly, causing the melt volume to increase and forming a cellular structure. The first depressurization rate is a pre-set depressurization rate, which can be manually input or obtained from a foaming database, etc., but not limited to this. The foaming information can be obtained by obtaining an image of the thermoplastic elastomer melt through a camera or other imaging device and then analyzing it through image analysis technology; it can also be measured non-contactly by using the time difference and intensity change of ultrasonic waves penetrating the melt and reflecting back, and the size change and distribution of the pores, etc., but not limited to this.

[0043] In a possible implementation, in step S400, obtaining foaming information in real time includes: S410, acquiring a melt image in real time; wherein the melt image is used to reflect the size of the bubble cells.

[0044] It can be understood that by using a high-speed camera or other imaging equipment to take a melt image in real time, it is ensured that the dynamic process of cell formation and expansion can be captured. The melt image provides intuitive visual information, reflecting the initial size of the cells on the surface of the thermoplastic elastomer melt and its change over time.

[0045] S420, analyzing the melt image to obtain foaming information.

[0046] It can be understood that by analyzing the acquired melt image through the image processing algorithm, the key parameters such as the size of each cell, the average size of the cells, the distribution density, and the growth rate of the cells can be calculated to generate detailed foaming information. For example, the size change of each cell and the degree of change of the cells over a period of time can be obtained by analysis as foaming information, and the difference between two adjacent melt images can be analyzed to obtain the real-time change of the cell size and the distribution change as foaming information, etc., but it is not limited thereto.

[0047] With this arrangement, the foaming information acquisition method based on image analysis has the characteristics of high precision and real-time performance, and can effectively monitor the size and distribution of foam cells during the foaming process.

[0048] In one possible implementation, see Figure 2In step S420, the melt image is analyzed to obtain foaming information, including: S421, 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.

[0049] It can be understood that by analyzing the initial image, the basic characteristics of the melt in the undepressurized state can be obtained, providing a reference for the subsequent cell changes. This helps to evaluate the cell evolution during the entire foaming process.

[0050] S422, obtaining a foaming sequence based on a plurality of melt images within a preset time; wherein the foaming sequence includes a plurality of melt images continuously acquired within a preset time after acquiring an initial image.

[0051] 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 is not limited thereto.

[0052] S423, analyzing the first melt information and the foaming sequence to obtain foaming information.

[0053] Exemplarily, the change in the rate of change of the size of the bubbles within a preset time can be obtained by analyzing the foaming sequence, and then the size distribution of the bubbles can be obtained by analyzing the bubble image on the surface of the melt at the preset time. The degree of change in the bubble size can be obtained by comparing the first melt information with the melt image obtained at the preset time, and the information obtained from the above analysis can be used as foaming information; the first melt information and the foaming sequence can also be input into the learning model, and the learning model can then input the corresponding foaming information, and so on, but not limited to this.

[0054] With this setting, by comprehensively analyzing the initial state and foaming sequence of the melt image, 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.

[0055] In one possible implementation, see Figure 3 In step S423, the foaming information is obtained by analyzing the first melt information and the foaming sequence, including: S4231, analyzing the foaming sequence to obtain a first foaming rate of the foaming information; wherein the first foaming rate is used to reflect the size change rate of the foam cells within a preset time.

[0056] It can be understood that the first foaming rate refers to the set of change rates of each size in the foaming sequence. Exemplarily, the change in the average size of the bubble can be used as the change rate, that is, the average size of the bubble in each image in the foaming sequence is calculated, and then the change in the average size reflected by the two adjacent images is calculated as the change rate corresponding to the two adjacent images, and the change rate of the average size between all two adjacent melt images in the foaming sequence is analyzed in sequence, and the set of each change rate is the first foaming rate; the size of the bubble with the largest size in each melt image can also be used as the size corresponding to the melt image, and then the change rate between the sizes of the bubbles with the largest size in the two adjacent images in the foaming sequence is analyzed in sequence to obtain the first foaming rate, and so on, but not limited to this.

[0057] S4232, analyzing the final state image in the foaming sequence to obtain the foaming cell uniformity information; wherein the foam cell uniformity information is used to reflect the uniformity of the foam cells at a preset time.

[0058] It can be understood that the final state image refers to the last melt image acquired in the foaming sequence. The uniformity of the pores refers to the quantity distribution corresponding to the distribution range of the pore size, that is, the more pores are distributed in the same preset size interval, the higher the uniformity of the pores, and the more pores are distributed in different preset size intervals, the lower the uniformity of the pores, and so on. Exemplarily, the uniformity of the pores can be obtained by setting a size interval and analyzing the proportion of the pore size in the size interval; the final state image can also be input into the learning model, and the learning model outputs the corresponding pore uniformity information, etc., but it is not limited to this.

[0059] In one possible implementation, see Figure 4 In step S4232, the final state image in the foaming sequence is analyzed to obtain the foam cell uniformity information, including: S42321, 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 bubble cell sizes.

[0060] It can be understood that by analyzing the final image, the specific size of each cell and its position in the entire image, a detailed cell size distribution map is formed, which is the distribution information.

[0061] S42322, analyzing the distribution information to obtain a distribution state; wherein the distribution state is used to reflect the distribution of each size of the pores.

[0062] Exemplarily, the average size can be calculated by the size of each bubble cell, and then the size distribution interval can be set according to the average size, and then the size of each bubble cell can be divided based on the size distribution interval to obtain a distribution state; or multiple size intervals can be directly set, and then the sizes of all bubbles can be matched and divided based on the size intervals to obtain a distribution state, and so on, but not limited to this.

[0063] In one possible implementation, see Figure 5 In step S42322, the distribution information is analyzed to obtain a distribution state, including: S423221, analyzing the distribution information to obtain the cell mean; wherein the cell mean is used to reflect the average size of all cells.

[0064] It can be understood that the cell mean reflects the central tendency of the sizes of all cells, and the cell mean can be obtained by dividing the total value of the size of each cell by the corresponding number.

[0065] S423222, obtain the size fluctuation value, and obtain the normal range based on the cell mean and the size fluctuation value.

[0066] It can be understood that the size floating value is a pre-set value, which is used to reflect the acceptable size of the size change. Different specifications of plastic elastomer sheets correspond to a size floating value. The size floating value can be manually input or obtained from the foaming database, etc., but not limited to this. The upper limit of the normal range = the average value of the cell + the size floating value, and the lower limit of the normal range = the average value of the cell - the size floating value.

[0067] S423223, analyze according to the distribution information and the normal interval to obtain the first bubble information and the second bubble information, and use the first bubble information and the second bubble information as the distribution state; wherein the first bubble information is used to reflect the number of all bubbles whose sizes are not within the normal interval, and the second bubble information is used to reflect the number of all bubbles whose sizes are within the normal interval.

[0068] It can be understood that the first cell information is obtained by counting the number of cells whose sizes are outside the normal range, and the second cell information is obtained by counting the number of cells whose sizes are within the normal range, so as to obtain the distribution state.

[0069] With this setting, by analyzing the cell size distribution information in detail, calculating the cell mean as a reference for the central trend, and combining the pre-set size floating value to determine the normal interval, the number of cells that are and are not in the normal interval can be accurately counted. This can not only quantitatively evaluate the uniformity of the cells, but also promptly discover and correct abnormal situations in the foaming process, thereby improving product quality and the controllability of the production process.

[0070] S42323, analyze based on the distribution state to obtain the uniformity information of the bubbles.

[0071] Exemplarily, whether the size distribution of the pores is uniform can be judged by the number of pores not located in the normal interval as reflected by the distribution state, that is, when the number of pores not located in the normal interval is greater than a certain number, the size distribution is uneven; when the number of pores not located in the normal interval is less than a certain number, the ratio of the number of pores not located in the normal interval to the number of pores located in the normal interval is analyzed to judge whether the size distribution of the pores is uniform; the distribution state can also be directly input into the learning model, and the learning model outputs the uniformity information of the pores, etc., but is not limited to this.

[0072] With this setup, by analyzing the final state image in the foaming sequence, we first obtain the distribution information reflecting the distribution of cell sizes, then calculate the distribution state describing the distribution state of cells of each size based on this information, and finally evaluate and obtain the cell uniformity information based on the distribution state. This method can quantify the size distribution and uniformity of cells, ensuring that abnormal phenomena in the foaming process are discovered and corrected in a timely manner.

[0073] In one possible implementation, see Figure 6 In step S42323, the distribution state is analyzed to obtain the uniform information of the pores, including: 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, 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 sizes of the cells are uneven.

[0074] It can be understood that the first preset threshold is a preset numerical value, and different melt sizes correspond to a first preset threshold, which can be manually input or obtained from a foaming database, etc., but is not limited thereto.

[0075] S423232, when the number of cells reflected by the first cell information is less than a 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.

[0076] It can be understood that uniform ratio = number of cells whose sizes are not within the normal range / number of all cells whose sizes are within the normal range.

[0077] S423233, when the uniformity ratio is less than the second preset threshold, the uniformity condition is used as the pore uniformity information; when the uniformity ratio is greater than or equal to the second preset threshold, the non-uniformity is used as the pore uniformity information; 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 uneven.

[0078] It can be understood that the second preset threshold is a preset ratio, and different melt sizes correspond to a second preset threshold, which can be manually input or obtained from a foaming database, etc., but is not limited thereto.

[0079] With this setup, through multi-level threshold comparison and ratio analysis, not only can the abnormal distribution of cell sizes be identified, but the uniformity of the cells can also be quantitatively evaluated, ensuring that problems in the foaming process are discovered and corrected in a timely manner.

[0080] S4233, analyzing the first melt information and the final state image to obtain a second foaming rate of the foaming information; wherein the second foaming rate is used to reflect the degree of size change of the pores at a preset time.

[0081] It can be understood that the second foaming rate = (cell size reflected by the final state image - cell size reflected by the first melt information) ÷ preset time.

[0082] With this arrangement, the dynamic change process of the pores from nucleation to expansion can be accurately captured by multi-dimensional analysis of the initial state of the melt image and the foaming sequence. First, by calculating the size change rate of the pores between each adjacent image in the foaming sequence, the first foaming rate reflecting the rapid initial formation and expansion of the pores is obtained; secondly, the uniformity of the pores at the end of the preset time is evaluated based on the final state image, providing specific information on the pore size distribution; finally, combining the first melt information and the final state image, the second foaming rate is calculated to quantify the overall size change of the pores during the entire foaming process, which can comprehensively evaluate the formation and development of the pores. By multi-dimensional analysis of the melt image and the foaming sequence, accurate monitoring of the pore formation and development process can be achieved.

[0083] 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; 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 within a unit time after the adjustment.

[0084] It can be understood that the abnormal foaming information refers to the situation that the size of the foam cells is uneven, the size of the foam cells is too large or too small, etc. When the size of the foam cells is uniform and the size of the foam cells meets the expected size within the preset time, the foaming information is normal, and the first depressurization rate is used as the second depressurization rate, that is, the depressurization process is continued at the first depressurization rate, and the foaming information is analyzed and judged according to the above steps within the next preset time to determine whether the foaming information is abnormal. Exemplarily, when the foaming information is abnormal, the foaming information can be analyzed to appropriately reduce or increase the depressurization rate, extend or accelerate the time of foam cell nucleation and growth, so that the foam cells can be formed more uniformly and stably. Exemplarily, when the foaming information is abnormal, the first foaming rate or the second foaming rate in the foaming information can be analyzed to obtain the degree of adjustment of the depressurization rate, and then the second depressurization rate is obtained by combining the first depressurization rate or directly obtaining the second depressurization rate by analysis, and the first depressurization rate is replaced by the second depressurization rate for depressurization; the foaming information can also be input into the learning model, and the learning model outputs the corresponding second depressurization rate, etc., but is not limited to this.

[0085] In one possible implementation, see Figure 7 In step S500, 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, including: S510a, when the cell uniformity information of the foaming information is a 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.

[0086] It can be understood that the bubble size change rate between adjacent images in the foaming sequence can be counted, and the time of each change rate can be used as a coordinate point to mark in the coordinate system. After marking all the size change rates reflected in the foaming sequence, each change rate can be connected in time sequence to generate a curve reflecting the bubble size change rate, which is the rate change curve.

[0087] S520a, analyzing the rate change curve to obtain the maximum rate of change and the average rate of change; wherein the maximum rate of change is used to reflect the maximum value of the rate of change of the cell size, and the average rate of change is used to reflect the average value of the rate of change of the cell size. It can be understood that the peak value of the highest peak in the rate change curve can be taken 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.

[0088] S530a, calculating the difference between the maximum change rate and the average change rate to obtain the rate difference.

[0089] It can be understood that rate difference = maximum change rate - average change rate. The larger the rate difference, the more unstable the change of cell size.

[0090] S540a: Analyze the rate difference to obtain a first adjustment rate.

[0091] 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 the preset rate difference interval in the foaming database to obtain the first adjustment rate corresponding to the matched preset rate difference interval; the rate difference can also be input into the learning model, and the learning model outputs the corresponding first adjustment rate, etc., 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 can be obtained in the foaming database, etc., but not limited to this.

[0092] S550a, adjusting the first voltage reduction rate 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.

[0093] It can be understood that the second voltage reduction rate=the first voltage reduction rate-the first adjustment rate.

[0094] With this setting, when the foaming of the cells is uneven, it means that the depressurization rate is too large and needs to be reduced. By statistically analyzing the cell size change rate between each adjacent image in the foaming sequence and generating a rate change curve, the maximum change rate and the average change rate are extracted, and the rate difference is calculated to evaluate the stability of the cell size change. The first adjustment rate is obtained based on the rate difference analysis, and then the first depressurization rate is adjusted to obtain a new second depressurization rate. This method can quickly respond to abnormal changes in cell size and optimize the uniformity and stability of the cells by reducing the depressurization rate.

[0095] In one possible implementation, see Figure 7 In step S500, 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, and further includes: 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 degree, a difference calculation is performed based on the second foaming rate and the preset degree to obtain a degree difference.

[0096] It can be understood that when the cell uniformity information of the foaming information is a uniform condition, and the second foaming rate of the foaming information is greater than the preset degree, it means that the size of the cell is larger than the expected size at the preset time. If the pressure is reduced at the first pressure reduction rate, the cell may further over-expand, affecting the structural stability and performance of the product, and may even cause abnormal phenomena such as cell rupture or merging, thereby reducing product quality. The preset degree is a preset foaming rate degree value. Different specifications of melt sizes correspond to a preset degree. It can be manually input or obtained from the foaming database, etc., but is not limited to this. Degree difference = second foaming rate and preset degree.

[0097] S520b: Analyze the degree difference to obtain a second adjustment rate.

[0098] It can be understood that the second adjustment rate is used to reflect the adjustment value of the pressure reduction rate. Different degree differences correspond to a second adjustment rate. Exemplarily, the degree difference can be matched with the preset degree difference interval in the foaming database to obtain the second adjustment rate corresponding to the matched preset degree difference interval; the degree difference can also 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 degree difference intervals correspond to a second adjustment rate. The preset degree difference interval can be manually input by humans, or can be obtained in the foaming database, etc., but not limited to this.

[0099] S530b, adjusting the first voltage reduction rate 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.

[0100] It can be understood that the second pressure reduction rate=the first pressure reduction rate-the second adjustment rate.

[0101] With such a configuration, when the foaming information shows that the pores are uniform but the second foaming rate is too fast, the degree to which the pore size exceeds expectations is quantified by calculating the degree difference between the second foaming rate and the preset degree. The second adjustment rate is obtained based on the degree difference analysis, and the first depressurization rate is adjusted accordingly to obtain a new second depressurization rate. When the pores are uniform but the size is too large, the depressurization rate can be slowed down in time to prevent the pores from further overexpanding, avoid affecting the structural stability and performance of the product, and reduce the occurrence of abnormal phenomena such as pore rupture or merging.

[0102] In one possible implementation, see Figure 7 In step S500, 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, and further includes: S510c, when the bubble pore uniformity information of the foaming information is a uniform condition, and the second foaming rate of the foaming information is less than a preset degree, analysis is performed based on 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 bubbles are of the desired final size.

[0103] It can be understood that when the cell uniformity information of the foaming information is a uniform condition, and the second foaming rate of the foaming information is less than the preset degree, it means that the size of the cell is smaller than the expected size at the preset time. If the pressure is reduced at the first pressure reduction rate, the cell size may not reach the expected size within the specified time, or the foaming time needs to be extended, resulting in reduced 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 second foaming rate can be used for simulation analysis, and the remaining time required for foaming when the pressure is reduced at the first pressure reduction rate until the melt size meets the expected size is the remaining foaming time; the second foaming rate, the first pressure reduction rate, and the final size can also be input into the learning model, and the learning model outputs the corresponding remaining foaming time, etc., but is not limited to this.

[0104] S520c, analyzing 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.

[0105] It can be understood that the size difference = the cell size reflected by the final size - the cell size reflected by the second expansion rate.

[0106] 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.

[0107] It can be understood that the third adjustment rate = size difference ÷ remaining foaming time.

[0108] In this way, 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 depressurization rate. This method enables the cells to reach the ideal size within the specified time without affecting the size uniformity, optimizes production efficiency, and enhances the controllability and consistency of the production process.

[0109] S600, the control device controls the extrusion device to reduce the pressure in the space where the thermoplastic elastomer melt is located at a second pressure reduction rate to obtain a thermoplastic elastomer sheet.

[0110] With this arrangement, the foaming process of thermoplastic elastomer sheets can be managed in a refined manner through multi-level and multi-dimensional data analysis and real-time feedback control mechanisms. 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 the specified time, thereby improving the physical properties and use effects of the product. By detecting the relevant parameters of the cells of the thermoplastic elastomer melt and adaptively adjusting the depressurization rate, the structure of the thermoplastic elastomer sheet can be made uniform, thereby reducing the shrinkage of the thermoplastic elastomer sheet. At the same time, this method enhances the flexibility and controllability of the production process, reduces production costs, and improves overall production efficiency.

[0111] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0112] Corresponding to the method for improving the shrinkage phenomenon of thermoplastic elastomer sheets described in the above embodiment, the embodiment of the present application also provides a system for improving the shrinkage phenomenon of thermoplastic elastomer sheets, and each module of the system can implement each step of the method for improving the shrinkage phenomenon of thermoplastic elastomer sheets. Figure 8 A structural block diagram of a system for improving shrinkage of a thermoplastic elastomer sheet provided in an embodiment of the present application is shown. For ease of explanation, only the portion related to the embodiment of the present application is shown.

[0113] Reference Figure 8 The system for improving shrinkage of thermoplastic elastomer sheets comprises: The acquisition module is used to acquire melt information; wherein the melt information is used to reflect the size of the thermoplastic elastomer melt extruded by the extrusion device.

[0114] The first analysis module is used 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.

[0115] The second analysis module is used to analyze 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 size and pressure holding time of the extrusion device before the supercritical fluid foaming.

[0116] A control acquisition module is used to control the extrusion device to perform pressure holding processing based on the 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 obtain 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 per unit time.

[0117] The adjustment module is used to adjust the first pressure reduction rate according to the foaming information to obtain a second pressure reduction rate when the foaming information is abnormal; 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 the adjustment.

[0118] The control module is used for controlling the extrusion device to reduce the pressure in the space where the thermoplastic elastomer melt is located at a second pressure reduction rate to obtain a thermoplastic elastomer sheet.

[0119] It should be noted that the information interaction, execution process and other contents between the above-mentioned modules are based on the same concept as the method embodiment of the present application. Their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.

[0120] The technicians in the field can clearly understand that for the convenience and simplicity of description, only the division of the above modules is used as an example. In practical applications, the above functions can be assigned to different modules as needed, that is, the internal structure of the system can be divided into different modules to complete all or part of the functions described above. The modules in the embodiment can be integrated into a processing unit, or each module can exist physically alone, or two or more modules can be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the modules in the above system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0121] An embodiment of the present application also provides a device for improving the shrinkage phenomenon of a thermoplastic elastomer sheet, comprising an extrusion device and a control device, wherein the control device is electrically connected to the extrusion device. Fig. 9 This is a schematic diagram of the structure of a control device 6 provided in an embodiment of the present application. Fig. 9 As shown, the control device 6 of this embodiment includes: at least one processor 60 ( Fig. 9 Only one is shown), at least one memory 61 ( Fig. 9 Only one is shown in the figure) 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 implements the steps in any of the above-mentioned method embodiments for improving the shrinkage phenomenon of thermoplastic elastomer sheets, or the control device 6 implements the functions of the modules in the above-mentioned system embodiments.

[0122] Exemplarily, the computer program 62 may be divided into one or more modules / units, which 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 completing specific functions, which are used to describe the execution process of the computer program 62 in the control device 6.

[0123] The control device 6 can be a computing device such as a desktop computer, a notebook, a PDA, a cloud server, etc. The device for improving the shrinkage phenomenon of the thermoplastic elastomer sheet can include, but is not limited to, a processor 60 and a memory 61. Those skilled in the art can understand that Fig. 9 It is only an example of the control device 6 and does not constitute a limitation on the control device 6. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, it may also include input and output devices, network access devices, buses, etc.

[0124] The processor 60 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0125] In some embodiments, the memory 61 may be an internal storage unit of the control device 6, such as a 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 an internal storage unit and an external storage device of the control device 6. The memory 61 is used to store an operating system, an application program, a boot loader (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.

[0126] An embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in any of the above method embodiments are implemented.

[0127] An embodiment of the present application provides a computer program product. When the computer program product is run 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-mentioned method embodiments.

[0128] 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, the present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of the above-mentioned method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium can at least include: any entity or device that can carry the computer program code to the device for improving the shrinkage phenomenon of thermoplastic elastomer sheet, recording medium, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electrical carrier signal, telecommunication signal and software distribution medium. For example, a USB flash drive, a mobile hard disk, a disk or an optical disk.

[0129] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0130] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0131] In the embodiments provided in the present application, it should be understood that the disclosed device and system for improving the shrinkage phenomenon of thermoplastic elastomer sheets can be implemented in other ways. For example, the above-described system embodiment for improving the shrinkage phenomenon of thermoplastic elastomer sheets is only schematic. For example, the division of the modules is only a logical function division. There may be other division methods in actual implementation, such as multiple modules can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or modules, which can be electrical, mechanical or other forms.

[0132] 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 may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0133] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present 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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