Method and device for aging test of organic polymer material based on tensile strength

Abstract

The invention provides an organic polymer material aging test method and device based on tensile strength, and relates to the technical field of polymer material performance evaluation.According to the method, an aging test is conducted on a material in a high-voltage electric field and high-temperature environment, and the tensile strength, charge characteristics and molecular characteristics are measured through regular sampling, so that comprehensive performance indexes are calculated. Then, generating an aging evaluation coefficient according to charge and molecular characteristics, and determining aging critical time in combination with tensile strength; and repeating the test under the conditions of different temperatures and electric field intensities, and constructing an aging test data set. And finally, training an aging critical time prediction model based on test data, and predicting the aging critical time of the material under different environmental conditions by using the model, thereby realizing accurate prediction and optimization of the material life.

Description

Aging Test Method and Apparatus for Organic Polymer Materials Based on Tensile Strength Technical Field

[0001] This invention relates to the field of polymer material performance evaluation technology, specifically to an aging test method and apparatus for organic polymer materials based on tensile strength. Background Technology

[0002] Organic polymer materials are widely used in electrical, electronic, and aerospace fields, and their long-term service performance has a significant impact on the safety and stability of equipment. However, under environmental conditions such as high temperature and high voltage electric fields, these materials are prone to aging, leading to a decline in mechanical properties and a deterioration in electrical properties, which in turn affects the reliability of the overall system. Currently, research on material aging mainly relies on single physical or chemical indicators, such as changes in tensile strength, dielectric loss, or microstructure analysis. However, these methods often lack comprehensive evaluation capabilities and are difficult to accurately predict the critical aging time. In addition, traditional aging tests rely on the accumulation of long-term experimental data, have long testing cycles, and lack systematic analysis of the effects of different environmental factors, which greatly limits the quantitative study of the aging process.

[0003] In existing technologies, aging assessment methods for organic polymer materials typically rely on a single indicator, such as tensile strength. This method has significant limitations because material aging is a complex process involving multiple factors, including mechanical, electrical, and molecular structure aspects. Relying on a single parameter is insufficient to comprehensively reflect the aging mechanism.

[0004] Determining the critical aging time remains a major challenge in predicting material lifespan. Existing research mainly relies on the accumulation of long-term experimental data, estimating aging trends by comparing material performance changes at different time points. However, this method is time-consuming, costly, and has poor applicability under different environmental conditions.

[0005] The information disclosed in the background section is only intended to enhance the understanding of the background of this disclosure, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0006] The purpose of this invention is to provide an aging test method and apparatus for organic polymer materials based on tensile strength, so as to solve the problems mentioned in the background art.

[0007] To achieve the above objectives, the present invention provides the following technical solution: an aging test method for organic polymer materials based on tensile strength, comprising the following steps: Step 1: Take a batch of identical organic polymer material samples and conduct an aging test on this batch of organic polymer materials under a high voltage electric field and high temperature environment; Step 2: Take three organic polymer material samples every other day, measure the tensile strength, charge characteristics, and molecular characteristics of the taken organic polymer materials, and calculate the comprehensive tensile strength, comprehensive charge characteristics, and comprehensive molecular characteristics of the three taken organic polymer materials based on the tensile strength; Step 3: Generate a charge aging assessment coefficient based on the comprehensive charge characteristics, and generate a molecular aging assessment coefficient based on the comprehensive molecular characteristics. Step 4: Conduct multiple aging tests under different electric field strengths and temperatures, and determine the critical aging time for each test. The temperature, electric field strength, and critical aging time of each test constitute an aging test laboratory dataset. Step 5: Use the temperature and electric field strength from the aging test dataset as inputs and the critical aging time as a label to construct and train an aging critical time prediction model. Step 6: By inputting different temperatures and electric field strengths into the aging critical time prediction model, obtain the critical aging time of organic polymer materials under different temperature and electric field strength conditions.

[0008] Furthermore, the high-voltage electric field refers to the electric field strength ranging from 10 to 100 kV / mm, and the high temperature refers to the temperature ranging from 100 to 150 degrees Celsius.

[0009] Furthermore, the charge characteristics include surface charge density, charge affinity, and potential decay rate. The specific logic for obtaining the surface charge density is as follows: the charge in the central region of the organic polymer sample is obtained using an electrostatic probe; the contact area between the electrostatic probe and the central region of the organic polymer is obtained; and the charge in the central region of the organic polymer is divided by the contact area between the electrostatic probe and the central region of the organic polymer to obtain the surface charge density. The specific logic for obtaining the charge affinity is as follows: under a Kelvin probe force microscope, the contact potential difference between metallic Pt and organic polymer samples that have not undergone aging tests and those that have undergone aging tests is measured; the contact potential difference of the organic polymer sample taken from the aging test is subtracted from the contact potential difference of the organic polymer sample taken from the aging test. The contact potential difference of organic polymer samples taken without aging tests is compared with the contact potential difference of organic polymer samples taken after aging tests to obtain the charge affinity. The specific formula for obtaining the potential decay rate is as follows: The initial and final potentials of organic polymer samples taken without and after aging tests are measured per unit time. For the organic polymer samples taken without aging tests, their potential decay rate is calculated using the exponential decay formula based on their initial and final potentials and the unit time. For the organic polymer samples taken after aging tests, their potential decay rate is also calculated using the exponential decay formula based on their initial and final potentials and the unit time. The potential decay rate of the organic polymer samples taken without aging tests is subtracted from the potential decay rate of the organic polymer samples taken after aging tests to obtain the decay change. The decay change is then divided by the potential decay rate of the organic polymer samples taken without aging tests to obtain the potential decay rate.Molecular properties include the degree of molecular chain breakage and changes in molecular chain orientation. The specific logic for obtaining the degree of molecular chain breakage is as follows: The average molecular weight of organic polymer samples that have not undergone aging testing and those that have undergone aging testing is measured using gel permeation chromatography. The average molecular weight of the organic polymer samples taken from the aging test is subtracted from the average molecular weight of the samples taken from the aging test, and the result is compared with the average molecular weight of the samples taken from the aging test to obtain the degree of molecular chain breakage. The specific logic for obtaining changes in molecular chain orientation is as follows: The method involves measuring the vertical and horizontal signal intensities of organic polymer samples that have not undergone aging tests and those that have undergone aging tests using X-ray diffraction. The vertical signal intensity of the organic polymer sample taken from the aging test is subtracted from that of the sample taken from the aging test to obtain the vertical difference. Similarly, the horizontal signal intensity of the organic polymer sample taken from the aging test is subtracted from that of the sample taken from the aging test to obtain the horizontal difference. The absolute value of the product of the vertical and horizontal differences is calculated as the change in molecular chain orientation.

[0010] Furthermore, the specific logic for calculating the comprehensive tensile strength, comprehensive charge characteristics, and comprehensive molecular characteristics is as follows: If, among the tensile strengths of the three selected organic polymer materials, the difference between the maximum and the median value, and the difference between the minimum and the median value, are both greater than 25% of the median value, then the median value is directly used as the comprehensive tensile strength, and the charge characteristics and molecular characteristics of the sample corresponding to the median value are used as the comprehensive charge characteristics and comprehensive analytical characteristics; if, among the tensile strengths of the three selected organic polymer materials, the difference between the maximum and the median value, and the difference between the minimum and the median value, are both less than 25% of the median value, then the average value of the tensile strength, charge characteristics, and molecular characteristics of the three organic polymer material samples is used as the comprehensive tensile strength, comprehensive charge characteristics, and comprehensive molecular characteristics; if, among the tensile strengths of the three selected organic polymer materials, the difference between the maximum and the minimum values ​​and the median value are both greater than 25% of the median value, then three new organic polymer material samples are selected.

[0011] Furthermore, the logic for calculating the charge aging assessment coefficient is as follows: the comprehensive surface charge density, comprehensive charge affinity, and comprehensive potential decay rate are weighted and summed using preset weights to obtain the charge aging assessment coefficient; the logic for calculating the molecular aging assessment coefficient is as follows: the exponential function of the comprehensive molecular chain breakage degree is multiplied by the comprehensive molecular chain orientation change to obtain the molecular aging assessment coefficient.

[0012] Furthermore, the specific logic for determining the critical aging time is as follows: Preset charge aging assessment thresholds and molecular aging assessment thresholds. If the charge aging assessment coefficient is greater than the charge aging assessment threshold, the molecular aging assessment coefficient is greater than the molecular aging assessment threshold, and the overall tensile strength is less than 60% of the tensile strength of an organic polymer sample taken without aging testing, then that day is determined as the critical aging time. If either the charge aging assessment coefficient is greater than the charge aging assessment threshold or the molecular aging assessment coefficient is greater than the molecular aging assessment threshold, and the overall tensile strength is less than 50% of the tensile strength of an organic polymer sample taken without aging testing, then that day is determined as the critical aging time. If the overall tensile strength is less than 40% of the tensile strength of an organic polymer sample taken without aging testing, then that day is determined as the critical aging time. The critical aging time is determined based on the charge aging assessment coefficient, the molecular aging assessment coefficient, and the tensile strength.

[0013] This invention also provides an aging test device for organic polymer materials based on tensile strength. The device is used to implement the aforementioned aging test method for organic polymer materials based on tensile strength, specifically including: a sample preparation module for taking a batch of identical organic polymer material samples and subjecting these samples to an aging test under a high-voltage electric field and high-temperature environment; a characteristic testing module for taking three organic polymer material samples every other day, measuring the tensile strength, charge characteristics, and molecular characteristics of the taken samples, and calculating the comprehensive tensile strength, comprehensive charge characteristics, and comprehensive molecular characteristics of the three samples based on the tensile strength; and a characteristic analysis module for generating a charge aging assessment coefficient based on the comprehensive charge characteristics and calculating the comprehensive molecular characteristics based on the comprehensive charge characteristics. The system generates molecular aging assessment coefficients based on characteristics, and determines the critical aging time based on charge aging assessment coefficients, molecular aging assessment coefficients, and comprehensive tensile strength. A test repetition module is used to conduct multiple aging tests under different electric field strengths and temperatures, and determine the critical aging time for each test, constructing an aging test laboratory dataset from the temperature, electric field strength, and critical aging time of each test. A model building module is used to build and train an aging critical time prediction model using the temperature and electric field strength from the aging test dataset as inputs and the critical aging time as a label. A criticality judgment module is used to obtain the critical aging time of organic polymer materials under different temperature and electric field strength conditions by inputting different temperatures and electric field strengths into the aging critical time prediction model.

[0014] Compared with existing technologies, the advantages of this invention are as follows: By establishing a comprehensive aging assessment system based on tensile strength, this invention overcomes the shortcomings of existing technologies where a single indicator cannot fully reflect the aging state of materials. This method combines tensile strength, charge characteristics, and molecular properties to form a systematic and quantitative aging assessment method. Compared with traditional assessment methods based on single physical or chemical indicators, this scheme can more comprehensively and accurately characterize the aging degree of materials, and calculates the charge aging assessment coefficient and molecular aging assessment coefficient through mathematical models, thereby improving the reliability and accuracy of aging assessment.

[0015] To address the challenge of accurately predicting aging critical time, this approach constructs an aging test dataset by conducting multiple aging tests under varying temperature and electric field strengths. Based on this dataset, an aging critical time prediction model is trained. This model takes temperature and electric field strength as input and aging critical time as output, achieving accurate prediction of material aging critical time under different environmental conditions. Compared to traditional methods relying on long-term experimental data accumulation, this approach significantly improves the efficiency of aging assessment, reduces experimental costs, and enhances prediction accuracy, providing a scientific basis for the lifetime prediction and optimized application of organic polymer materials. Attached Figure Description

[0016] Figure 1 is a schematic diagram of the overall method flow of the present invention; Figure 2 is a graph showing the change of the charge aging evaluation coefficient of the present invention with the overall surface charge density; Figure 3 is a graph showing the change of the charge aging evaluation coefficient of the present invention with the overall charge affinity; Figure 4 is a graph showing the change rate of the charge aging evaluation coefficient of the present invention with the overall potential decay; Figure 5 is a graph showing the change of the charge aging evaluation coefficient of the present invention with the number of days; Figure 6 is a graph showing the change of the molecular aging evaluation coefficient of the present invention with the overall degree of molecular chain breakage; Figure 7 is a graph showing the change of the molecular aging evaluation coefficient of the present invention with the overall molecular chain orientation; Figure 8 is a graph showing the change of the molecular aging evaluation coefficient of the present invention with the number of days; Figure 9 is a schematic diagram of the overall device structure of the present invention. Detailed Implementation

[0017] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to specific embodiments.

[0018] It should be noted that, unless otherwise defined, the technical or scientific terms used in this invention should have the ordinary meaning understood by one of ordinary skill in the art to which this invention pertains. The terms "first," "second," and similar terms used in this invention do not indicate any order, quantity, or importance, but are merely used to distinguish different components. Terms such as "comprising" or "including" mean that the element or object preceding the word encompasses the elements or objects listed following the word and their equivalents, without excluding other elements or objects. Terms such as "connected" or "linked" are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. Terms such as "upper," "lower," "left," and "right" are used only to indicate relative positional relationships; when the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0019] Example: Please refer to Figures 1-8. The present invention provides a technical solution: an aging test method for organic polymer materials based on tensile strength, the specific steps of which include: Step 1: Take a batch of identical organic polymer material samples and conduct an aging test on this batch of organic polymer materials under a high voltage electric field and a high temperature environment; the high voltage electric field refers to the electric field strength range of 10 to 100 kV / mm, and the high temperature refers to the temperature range of 100 to 150 degrees Celsius.

[0020] Step 2: Take three organic polymer material samples every other day and measure their tensile strength, charge characteristics, and molecular properties. Calculate the comprehensive tensile strength, comprehensive charge characteristics, and comprehensive molecular properties of the three organic polymer materials based on the tensile strength. The charge characteristics include surface charge density, charge affinity, and potential decay rate. The specific logic for obtaining the surface charge density is as follows: obtain the charge in the central region of the organic polymer material sample using an electrostatic probe, obtain the contact area between the electrostatic probe and the central region of the organic polymer material, and calculate the surface charge density using the contact area and the charge in the central region of the organic polymer material. The specific formula used is:

[0021] in, Surface charge density, To obtain the charge in the central region of organic polymer materials using an electrostatic probe. The contact area between the electrostatic probe and the central region of the organic polymer material is given. Aging of the organic polymer material leads to changes in its surface chemical groups, which enhances its surface charge-carrying capacity. The greater the surface charge density, the stronger its surface charge-carrying capacity, and the more severe the aging reaction. The specific logic for obtaining the charge affinity is as follows: Under a Kelvin probe force microscope, the contact potential difference between metallic Pt and organic polymer material samples that have not undergone aging tests and those that have undergone aging tests is measured. The charge affinity is calculated based on the contact potential difference. The specific formula used is:

[0022] in, For charge affinity, The contact potential difference is the value of an organic polymer material sample that has not undergone aging testing. The contact potential difference of organic polymer material samples taken for aging tests; the contact potential difference represents the affinity of organic polymer materials for charges. As organic polymer materials age, their charge affinity decreases, and the more severe the decrease, the greater the increase in the contact potential difference. The larger the potential, the lower the charge affinity, and the more severe the aging of the organic polymer material. The specific formula for obtaining the potential decay rate is as follows: Measure the initial and final potentials of organic polymer material samples that have not undergone aging tests and those that have undergone aging tests within 1 second (unit time). Calculate the potential decay rate of the organic polymer material samples that have not undergone aging tests and those that have undergone aging tests based on the initial and final potentials, respectively. The specific formula for calculating the potential decay rate based on the two potential decay rates is as follows:

[0023]

[0024]

[0025] in, The rate of change of electric potential decay, The potential decay rate is the value of an organic polymer material sample that has not undergone aging testing. The potential decay rate of the organic polymer material sample taken for aging test. To measure the time interval between the initial potential and the final potential, The initial potential of the organic polymer material sample taken out without undergoing aging tests. The initial potential of the organic polymer material sample taken for aging test. This represents the termination potential of an organic polymer material sample taken without undergoing an aging test. The termination potential of organic polymer samples taken for aging tests; aging leads to an increase in the density of trapped states in the material, reducing its charge retention capacity and affecting the potential decay rate. As organic polymers age, the potential decay rate increases significantly. The potential decay change rate reflects the year-on-year increase in the potential decay rate relative to the initial potential decay rate; the larger the value, the more severe the aging. Molecular characteristics include the degree of molecular chain breakage and changes in molecular chain orientation. The specific logic for obtaining the degree of molecular chain breakage is as follows: the average molecular weight of the polymer in organic polymer samples that have not undergone aging tests and those taken from aging tests are measured by gel permeation chromatography, and the degree of molecular chain breakage is generated through analysis. The specific formula used is:

[0026] in, The degree of molecular chain breakage. The average molecular weight of the organic polymer material sample taken without undergoing aging tests. The average molecular weight of the organic polymer material samples taken for aging tests is used to measure the degree of molecular chain breakage. The degree of molecular chain breakage reflects the aging degree of the organic polymer material at the molecular level through the average molecular weight. As the organic polymer material ages, the molecular chains of the organic polymer material break continuously. Although the number of molecules will increase, the average molecular weight will decrease. Therefore, the greater the degree of molecular chain breakage, the more severe the aging of the organic polymer material. The specific logic for obtaining the change in molecular chain orientation is as follows: the vertical signal intensity and horizontal signal intensity of the organic polymer material samples that have not undergone aging tests and the organic polymer material samples taken for aging tests are measured by X-ray diffraction.

[0027] in, For changes in molecular chain orientation, The vertical signal intensity represents the value of an organic polymer material sample that has not undergone aging testing. Vertical signal intensity of organic polymer material samples taken for aging tests; The horizontal signal intensity represents the value of an organic polymer material sample taken without undergoing an aging test. The horizontal signal intensity of the organic polymer material sample taken for aging test; as the organic polymer material ages, the vertical and horizontal signal intensities of the organic polymer material sample will differ more and more from the initial vertical and horizontal signal intensities. The larger the value, the greater the change in molecular chain orientation.

[0028] The tensile strength was measured using a tensile testing machine. Since measuring tensile strength with a tensile testing machine would damage the organic polymer sample, the measurement sequence was to first measure the charge characteristics or molecular characteristics, and then measure the tensile strength. The specific logic for calculating the comprehensive tensile strength, comprehensive charge characteristics, and comprehensive molecular characteristics is as follows: If, among the three organic polymer samples, the difference between the maximum and median values, and the difference between the minimum and median values, are both greater than 25% of the median value, then the median value is directly used as the comprehensive tensile strength, and the charge characteristics and molecular characteristics of the sample corresponding to the median value are used as the comprehensive charge characteristics and comprehensive analytical characteristics. If, among the three organic polymer samples, the difference between the maximum and median values, and the difference between the minimum and median values, are both less than 25% of the median value, then the average of the tensile strength, charge characteristics, and molecular characteristics of the three organic polymer samples is used as the comprehensive tensile strength, comprehensive charge characteristics, and comprehensive molecular characteristics. If, among the three organic polymer samples, the difference between the maximum and minimum values ​​and the median value are both greater than 25% of the median value, then three new organic polymer samples are taken.

[0029] Step 3: Generate a charge aging assessment coefficient based on the comprehensive charge characteristics, generate a molecular aging assessment coefficient based on the comprehensive molecular characteristics, and determine the critical aging time based on the charge aging assessment coefficient, the molecular aging assessment coefficient, and the comprehensive tensile strength.

[0030] in, This is the charge aging assessment coefficient. To take into account the overall surface charge density, To balance charge affinity, The overall potential decay rate; , and These are the weighting coefficients, and ,and Table 1 shows the experimental data on the decay of tensile strength and the changes in various charge parameters and corresponding charge aging assessment coefficients of the organic polymer materials over time; Table 1: Statistical Table of Charge Data from Aging Tests

[0031] As shown in Table 1, over time, the various charge parameters reflecting the aging of organic polymer materials at the charge level continuously increase, and at the same time, the corresponding charge aging assessment coefficient also continuously increases. The tensile strength of organic polymer materials continuously decreases, but at 18 days, the increase in the charge aging assessment coefficient is significantly greater than before, indicating that the material has aged. After 25 days, the charge aging assessment coefficient reflecting the aging of organic polymers is already very large and tends to remain unchanged thereafter, indicating that the organic polymer materials have severely aged and their performance has seriously deteriorated.

[0032] The specific formula used to calculate the molecular aging assessment coefficient is as follows:

[0033] in, This is the molecular aging assessment coefficient. To comprehensively assess the degree of molecular chain breakage, To account for changes in molecular chain orientation;

[0034] Table 2 shows the experimental data on the decay of tensile strength and the changes in various molecular parameters and corresponding molecular aging assessment coefficients of the organic polymer materials over time; Table 2: Statistical Table of Molecular Data from Aging Tests

[0035] As shown in Table 2, over time, the molecular parameters reflecting the aging of organic polymer materials at the molecular level continuously increase, and at the same time, the corresponding molecular aging assessment coefficient also continuously increases. The tensile strength of organic polymer materials continuously decreases, but at 19 days, the increase in the molecular aging assessment coefficient is significantly greater than before, indicating that the material has aged. After 25 days, the molecular aging assessment coefficient reflecting the aging of organic polymers is already very large and tends to remain unchanged thereafter, indicating that the organic polymer materials have severely aged and their performance has seriously deteriorated.

[0036] The charge affinity and charge aging assessment coefficient reflect the aging status of organic polymer materials at the charge level; the higher the value, the more severe the aging. The surface charge density reflects the surface charge-carrying capacity of organic polymer materials; the higher the value, the stronger the surface charge-carrying capacity. The charge affinity reflects the decrease in the charge affinity of organic polymer materials; the higher the value, the more severe the decrease in charge affinity. The potential decay rate reflects the decay of the surface potential of organic polymer materials; the higher the value, the more severe the decay of the surface potential.

[0037] Aging of organic polymer materials leads to changes in the chemical groups on their surface, which enhances their surface charge-carrying capacity. The greater the surface charge density, the stronger the surface charge-carrying capacity, and the more severe the aging. Contact potential difference represents the affinity of organic polymer materials for charge. As organic polymer materials age, charge affinity decreases, so the larger the value, the more severe the aging. Aging increases the density of trapped states in the material, reducing its charge retention capacity and affecting the potential decay rate. As organic polymer materials age, the potential decay rate increases significantly. The potential decay change rate reflects the year-on-year growth of the potential decay rate relative to the initial potential decay rate; the larger the value, the more severe the aging. The charge aging assessment coefficient integrates charge, affinity, and potential decay. It reflects that the greater the charge characteristics of charge, affinity, and potential decay, the more severe the aging of the organic polymer material. In this embodiment, a weighted coefficient is used to sum the comprehensive charge characteristics reflecting these three properties to reflect the aging of organic polymer materials from a charge perspective. Among them, charge affinity has the greatest impact on the aging of organic polymer materials, followed by potential decay, and then the charge of the charge. Therefore, by... The method sets weighting coefficients, and the charge aging assessment coefficient comprehensively reflects the aging of organic polymer materials from the charge level. The larger the value, the more serious the aging of the organic polymer material. It reflects the charge characteristics of the charge, affinity and potential decay, and the more serious the aging of the organic polymer material.

[0038] The molecular aging assessment coefficient reflects the aging status of organic polymer materials at the molecular level; the higher the value, the more severe the aging. The degree of molecular chain breakage reflects the degree of molecular chain breakage in organic polymer materials; the higher the value, the more severe the molecular chain breakage. The change in molecular chain orientation reflects the change in the overall molecular chain signal intensity of the organic polymer material relative to its orientation relative to the overall molecular chain signal intensity of organic polymer materials that have not undergone aging tests; the higher the value, the greater the change.

[0039] The degree of molecular chain breakage reflects the aging degree of organic polymer materials at the molecular level through the average molecular weight of the polymer. As organic polymer materials age, their molecular chains break continuously. Although the number of molecules increases, the average molecular weight decreases. Therefore, the greater the degree of molecular chain breakage, the more severe the aging of the organic polymer material. As organic polymer materials age, the vertical and horizontal signal intensities of the organic polymer material sample will differ more and more from their initial values. The larger the values, the greater the change in molecular chain orientation.

[0040] As materials age, the correlation between molecular chain breakage and changes in molecular chain orientation is relatively strong, and these two molecular properties are mutually reinforcing—that is, molecular chain breakage promotes changes in molecular chain orientation, and vice versa. Therefore, this coupling relationship cannot be represented by simple addition. Furthermore, during the aging process, the change in molecular chain orientation has a smaller numerical change compared to the degree of molecular chain breakage. Therefore, this embodiment uses an exponential function to correct this numerical imbalance during aging and fits them together through multiplication to evaluate the aging of organic high-analytical materials.

[0041] Tensile strength, charge aging assessment coefficient, and molecular aging assessment coefficient are important indicators for determining the aging criticality of organic polymer materials. Among them, the critical aging time may be between 40% and 60% of the original tensile strength. In this case, it is necessary to accurately determine the critical aging time by comprehensively measuring the molecular or charge aging of organic polymer materials through charge aging assessment coefficient and molecular aging assessment coefficient.

[0042] The specific logic for determining the critical aging time is as follows: preset charge aging assessment threshold and molecular aging assessment threshold. If the charge aging assessment coefficient is greater than the charge aging assessment threshold, the molecular aging assessment coefficient is greater than the molecular aging assessment threshold, and the comprehensive tensile strength is less than 60% of the tensile strength of the organic polymer material sample taken without aging test, then that day is determined as the critical aging time. If the charge aging assessment coefficient is greater than the charge aging assessment threshold and the molecular aging assessment threshold is greater than the molecular aging assessment threshold, it means that the organic polymer material shows sufficient aging properties at both the charge level and the analytical level. At this time, the critical aging time can be determined when the comprehensive tensile strength, which reflects the mechanical aging properties, is relatively high (less than 60% of the initial value).

[0043] If either the charge aging assessment coefficient is greater than the charge aging assessment threshold or the molecular aging assessment coefficient is greater than the molecular aging assessment threshold, then the organic polymer material has already exhibited sufficient aging properties at one level (charge or molecular), while the other level remains normal. Therefore, if the overall tensile strength (representing mechanical properties) is less than 50% of the tensile strength of an organic polymer material sample taken without aging testing, then that day is determined as the critical aging time. If the overall tensile strength is less than 40% of the tensile strength of an organic polymer material sample taken without aging testing, then that day is determined as the critical aging time. When the overall tensile strength of the organic polymer material is below 40%, its mechanical properties have sufficiently aged, and the critical aging time can be determined regardless of whether the molecular or charge level exhibits sufficient aging properties.

[0044] The critical aging time is determined based on the charge aging assessment coefficient, molecular aging assessment coefficient, and tensile strength. Step 4: Multiple aging tests are conducted under different electric field strengths and temperatures, and the critical aging time for each test is determined. The temperature, electric field strength, and critical aging time of each test constitute an aging test laboratory dataset. Step 5: Using the temperature and electric field strength from the aging test dataset as inputs and the critical aging time as labels, an aging critical time prediction model is constructed and trained. The aging critical time prediction model uses a feedforward neural network. The temperature and electric field strength of each aging test are used as inputs, and the corresponding critical aging time is used as labels. The training of the aging critical time prediction model can be carried out using existing technologies, specifically including: an input layer, a hidden layer, an output layer, and an activation function. The input layer is responsible for receiving the temperature and electric field strength of each aging test; the hidden layer... The layer is used to process the temperature and electric field intensity data for each aging test. It consists of multiple layers, each containing four time nodes. The time nodes of each hidden layer are connected to the previous layer through weights, and are used to perform feature abstraction and nonlinear transformation on the input temperature and electric field intensity of each aging test. By using the ReLU activation function, a nonlinear relationship is introduced, enabling the model to fit complex feature relationships. An independent neuron is set in the output layer, which is responsible for transforming the local and high-level feature representations extracted by the hidden layer for outputting the aging critical time. The root mean square error loss function is used. The input data is processed through the network once to obtain the output result. The loss function is calculated based on the predicted value and the true value. The gradient of the loss function with respect to each weight and bias is calculated using the chain rule. The weights and biases of the network are updated using the gradient descent algorithm to minimize the loss function.

[0045] Step 6: By inputting different temperatures and electric field intensities into the aging critical time prediction model, the aging critical time of organic polymer materials under different temperature and electric field intensities is obtained.

[0046] Referring to Figure 9, this invention also provides an aging test device for organic polymer materials based on tensile strength. This device is used to implement the aforementioned aging test method for organic polymer materials based on tensile strength, specifically including: a sample preparation module, used to take a batch of identical organic polymer material samples and conduct an aging test on this batch of organic polymer materials under a high-voltage electric field and high-temperature environment; a characteristic testing module, used to take three organic polymer material samples every other day, measure the tensile strength, charge characteristics, and molecular characteristics of the taken organic polymer materials, and calculate the comprehensive tensile strength, comprehensive charge characteristics, and comprehensive molecular characteristics of the three taken organic polymer materials based on the tensile strength; and a characteristic analysis module, used to generate a charge aging assessment coefficient based on the comprehensive charge characteristics, and based on the comprehensive... The system generates molecular aging assessment coefficients based on molecular properties, and determines the critical aging time based on the charge aging assessment coefficient, molecular aging assessment coefficient, and comprehensive tensile strength. A test repetition module is used to conduct multiple aging tests under different electric field strengths and temperatures, and determine the critical aging time for each test. The temperature, electric field strength, and critical aging time of each test constitute an aging test laboratory dataset. A model building module is used to build and train an aging critical time prediction model using the temperature and electric field strength from the aging test dataset as inputs and the critical aging time as a label. A critical judgment module is used to obtain the critical aging time of organic polymer materials under different temperature and electric field strength conditions by inputting different temperatures and electric field strengths into the aging critical time prediction model.

[0047] The above formulas are all dimensionless calculations. The formulas are derived from software simulations based on a large amount of collected data to obtain the most recent real-world results. The preset parameters in the formulas are set by those skilled in the art according to the actual situation.

[0048] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. When implemented in software, the above embodiments can be implemented, in whole or in part, as a computer program product. Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution.

[0049] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment, depending on actual needs.

[0050] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any changes or substitutions that cannot be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application.

Claims

1. An aging test method for organic polymer materials based on tensile strength, characterized in that, The specific steps include: Step 1: Take the same batch of organic polymer material samples and conduct aging tests on these organic polymer materials under a high-voltage electric field and high-temperature environment; Step 2: Take out three organic polymer material samples every other day, measure the tensile strength, charge characteristics, and molecular characteristics of the taken organic polymer materials, and calculate the comprehensive tensile strength, comprehensive charge characteristics, and comprehensive molecular characteristics of the three taken organic polymer materials based on the tensile strength; Step 3: Generate a charge aging assessment coefficient based on the comprehensive charge characteristics, generate a molecular aging assessment coefficient based on the comprehensive molecular characteristics, and determine the aging critical time based on the charge aging assessment coefficient, molecular aging assessment coefficient, and comprehensive tensile strength; Step 4: Conduct multiple aging tests under different electric field strengths and temperatures, and determine the aging critical time for each aging test. Construct an aging test laboratory dataset using the temperature, electric field strength, and aging critical time of each aging test; Step 5: Use the temperature and electric field strength from the aging test dataset as inputs and the aging critical time as a label to construct and train an aging critical time prediction model; Step 6: By inputting different temperatures and electric field strengths into the aging critical time prediction model, obtain the aging critical time of the organic polymer materials under different temperature and electric field strength conditions.

2. The aging test method for organic polymer materials based on tensile strength according to claim 1, characterized in that, The high-voltage electric field refers to an electric field strength ranging from 10 to 100 kV / mm, and the high temperature refers to a temperature ranging from 100 to 150 degrees Celsius.

3. The aging test method for organic polymer materials based on tensile strength according to claim 1, characterized in that, The charge characteristics include surface charge density, charge affinity, and potential decay rate. The specific logic for obtaining the surface charge density is as follows: The charge in the central region of the organic polymer sample is obtained using an electrostatic probe; the contact area between the electrostatic probe and the central region of the organic polymer is obtained; the surface charge density is obtained by dividing the charge in the central region of the organic polymer by the contact area between the electrostatic probe and the central region of the organic polymer. The specific logic for obtaining the charge affinity is as follows: Under a Kelvin probe force microscope, the contact potential difference between metallic Pt and organic polymer samples that have not undergone aging tests and those that have undergone aging tests is measured; the contact potential difference between the organic polymer samples that have undergone aging tests and those that have not is subtracted from the contact potential difference of the samples that have undergone aging tests. The contact potential difference of organic polymer material samples taken from aging tests is compared with the contact potential difference of organic polymer material samples taken from aging tests to obtain the charge affinity. The specific formula for obtaining the potential decay rate is as follows: Measure the initial and final potentials of organic polymer material samples taken from both aging tests and non-aging tests within a unit time. For organic polymer material samples taken from aging tests, their potential decay rate is calculated using the exponential decay formula based on their initial and final potentials and the unit time. For organic polymer material samples taken from aging tests, their potential decay rate is also calculated using the exponential decay formula based on their initial and final potentials and the unit time. Subtract the potential decay rate of the organic polymer material samples taken from aging tests from the potential decay rate of the non-aging test samples to obtain the decay change. Divide the decay change by the potential decay rate of the non-aging test samples to obtain the potential decay rate.Molecular properties include the degree of molecular chain breakage and changes in molecular chain orientation. The specific logic for obtaining the degree of molecular chain breakage is as follows: The average molecular weight of organic polymer samples that have not undergone aging testing and those that have undergone aging testing is measured using gel permeation chromatography. The average molecular weight of the organic polymer samples taken from the aging test is subtracted from the average molecular weight of the samples taken from the aging test, and the result is compared with the average molecular weight of the samples taken from the aging test to obtain the degree of molecular chain breakage. The specific logic for obtaining changes in molecular chain orientation is as follows: The method involves measuring the vertical and horizontal signal intensities of organic polymer samples that have not undergone aging tests and those that have undergone aging tests using X-ray diffraction. The vertical signal intensity of the organic polymer sample taken from the aging test is subtracted from that of the sample taken from the aging test to obtain the vertical difference. Similarly, the horizontal signal intensity of the organic polymer sample taken from the aging test is subtracted from that of the sample taken from the aging test to obtain the horizontal difference. The absolute value of the product of the vertical and horizontal differences is calculated as the change in molecular chain orientation.

4. The aging test method for organic polymer materials based on tensile strength according to claim 3, characterized in that, The specific logic for calculating the comprehensive tensile strength, comprehensive charge characteristics, and comprehensive molecular characteristics is as follows: If, among the three selected organic polymer materials, the difference between the maximum and median values, and the difference between the minimum and median values, are both greater than 25% of the median value, then the median value is directly used as the comprehensive tensile strength, and the charge characteristics and molecular characteristics of the sample corresponding to the median value are used as the comprehensive charge characteristics and comprehensive analytical characteristics; if, among the three selected organic polymer materials, the difference between the maximum and median values, and the difference between the minimum and median values, are both less than 25% of the median value, then the average of the tensile strength, charge characteristics, and molecular characteristics of the three organic polymer material samples is used as the comprehensive tensile strength, comprehensive charge characteristics, and comprehensive molecular characteristics; if, among the three selected organic polymer materials, the difference between the maximum and minimum values ​​and the median value are both greater than 25% of the median value, then three new organic polymer material samples are selected.

5. The aging test method for organic polymer materials based on tensile strength according to claim 4, characterized in that, The logic for calculating the charge aging assessment coefficient is as follows: the comprehensive surface charge density, comprehensive charge affinity, and comprehensive potential decay rate are weighted and summed using preset weights to obtain the charge aging assessment coefficient; the logic for calculating the molecular aging assessment coefficient is as follows: the exponential function of the comprehensive molecular chain breakage degree is multiplied by the comprehensive molecular chain orientation change to obtain the molecular aging assessment coefficient.

6. The aging test method for organic polymer materials based on tensile strength according to claim 5, characterized in that, The specific logic for determining the critical aging time is as follows: Preset charge aging assessment thresholds and molecular aging assessment thresholds. If the charge aging assessment coefficient is greater than the charge aging assessment threshold, the molecular aging assessment coefficient is greater than the molecular aging assessment threshold, and the overall tensile strength is less than 60% of the tensile strength of an organic polymer sample taken from a sample that has not undergone aging testing, then that day is determined as the critical aging time. If either the charge aging assessment coefficient is greater than the charge aging assessment threshold or the molecular aging assessment coefficient is greater than the molecular aging assessment threshold, and the overall tensile strength is less than 50% of the tensile strength of an organic polymer sample taken from a sample that has not undergone aging testing, then that day is determined as the critical aging time. If the overall tensile strength is less than 40% of the tensile strength of an organic polymer sample taken from a sample that has not undergone aging testing, then that day is determined as the critical aging time. The critical aging time is determined based on the charge aging assessment coefficient, the molecular aging assessment coefficient, and the tensile strength.

7. An aging test device for organic polymer materials based on tensile strength, characterized in that, The apparatus is used to implement the aging test method for organic polymer materials based on tensile strength as described in any one of claims 1-6, specifically comprising: a sample preparation module, used to take the same batch of organic polymer material samples and conduct an aging test on this batch of organic polymer materials under a high voltage electric field and high temperature environment; a characteristic testing module, used to take three organic polymer material samples every other day, measure the tensile strength, charge characteristics, and molecular characteristics of the taken organic polymer materials, and calculate the comprehensive tensile strength, comprehensive charge characteristics, and comprehensive molecular characteristics of the three taken organic polymer materials based on the tensile strength; and a characteristic analysis module, used to generate a charge aging assessment coefficient based on the comprehensive charge characteristics and generate a molecular aging assessment based on the comprehensive molecular characteristics. The system comprises four modules: a coefficient module for determining the critical aging time based on the charge aging assessment coefficient, the molecular aging assessment coefficient, and the comprehensive tensile strength; a test repetition module for conducting multiple aging tests under different electric field strengths and temperatures, determining the critical aging time for each test, and constructing an aging test laboratory dataset from the temperature, electric field strength, and critical aging time of each test; a model building module for constructing and training an aging critical time prediction model using the temperature and electric field strength from the aging test dataset as inputs and the critical aging time as a label; and a critical judgment module for obtaining the critical aging time of organic polymer materials under different temperature and electric field strength conditions by inputting different temperatures and electric field strengths into the aging critical time prediction model.

Images