A method, apparatus, device, and storage medium for assessing the lifespan of a polymer.

Abstract

This invention discloses a method, apparatus, device, and storage medium for assessing the lifespan of polymers. By analyzing and testing the degradation volatiles of test samples during the aging process, the concentration of index degradation volatiles at different aging times is obtained, establishing a first mapping relationship. Mechanical property tests are then performed on the aged test samples, and a second mapping relationship is established based on the mechanical properties of the test samples at different aging times. Based on the first and second mapping relationships, an equivalent relationship between mechanical properties and index degradation volatiles is established. The target index degradation volatile concentration, equivalent to the mechanical property endpoint, is calculated, and the polymer's thermo-oxidative aging lifespan is assessed based on the index degradation volatiles, yielding the polymer's aging lifespan. Compared with existing technologies, the technical solution of this invention can achieve efficient assessment of polymer material lifespan by establishing a link between macroscopic mechanical properties and aging degradation volatiles.

Description

Technical Field

[0001] This application relates to the technical field of real-time aging detection technology and life assessment of polymers, and in particular to a polymer life assessment method, apparatus, equipment and storage medium. Background Technology

[0002] Polymer materials are widely used in many fields such as daily necessities, medicine, agriculture, construction and transportation due to their lightweight, easy processing, corrosion resistance and high strength. However, during long-term use or storage, polymers are inevitably affected by complex external environmental factors, including light, heat, oxygen, water, electricity, chemical media and mechanical stress, which cause changes in the physical, chemical and mechanical properties of polymers, thereby affecting their service life and safety.

[0003] Currently, the evaluation of polymer aging is mainly carried out through the following two steps: (1) Aging simulation: The aging process of polymers is simulated by natural aging or artificial accelerated aging. Although natural aging can provide more reliable results, it is limited by the long experimental cycle and the difficulty in repeating aging conditions. Artificial accelerated aging accelerates the aging of materials by placing polymers under extreme conditions such as high temperature, high humidity and ultraviolet radiation, thereby quickly evaluating their aging resistance. This method has the advantages of short evaluation cycle and high repeatability, so it is more commonly used in polymer aging research; (2) Performance evaluation: Various characterization test methods are used to evaluate the appearance, mechanical properties, electrical properties and chemical changes of polymers during the aging process. Although the mechanical property test is the key to evaluating the service life of materials, this method requires periodically taking out aged samples for destructive testing, and the test cycle is long and the sample quantity is large.

[0004] In existing polymer aging testing methods, the assessment of mechanical properties is a key focus for researchers. However, most of these tests are based on direct measurements of aged samples, which are intermittent and destructive performance tests, and highly dependent on sample shape. Compared to mechanical property testing, degradation volatiles during material aging can be continuously monitored using non-destructive methods that are independent of material deformation. However, a systematic evaluation method for changes in the microstructure of polymers during aging is currently lacking, particularly one that establishes the link between macroscopic mechanical properties and aging degradation volatiles. Extending the criteria for determining the aging endpoint from intermittent and destructive mechanical property testing to continuous, non-destructive qualitative and quantitative analysis of degradation volatiles is crucial for comprehensively assessing the aging mechanism of polymers and predicting their service life. Summary of the Invention

[0005] The technical problem to be solved by this application is to provide a method, apparatus, equipment and storage medium for assessing the life of polymers, thereby achieving efficient assessment of the life of polymer materials by establishing a relationship between macroscopic mechanical properties and aging degradation volatiles.

[0006] To address the aforementioned technical problems, this application provides a method for assessing the lifetime of a polymer, comprising:

[0007] Based on the constructed multiple coupled aging conditions, the prepared test samples were aged, and based on the preset test plan, the degradation volatiles during the aging process were analyzed and tested to obtain the index degradation volatiles.

[0008] Obtain the concentration of the index degradation volatiles at different aging times, and construct a first mapping relationship based on the concentration of index degradation volatiles and aging time;

[0009] Mechanical properties of aged test samples are tested to obtain the mechanical properties of aged test samples at different aging times, and a second mapping relationship between the mechanical properties and aging time is constructed.

[0010] Based on the first mapping relationship and the second mapping relationship, an equivalent relationship between mechanical properties and index degradation volatiles is constructed. Based on the equivalent relationship, the concentration of target index degradation volatiles equivalent to the mechanical performance endpoint is calculated.

[0011] Using a preset polymer thermo-oxidative aging lifetime assessment algorithm, and based on the target index degradation volatile concentration, the polymer thermo-oxidative aging lifetime is assessed for the index degradation volatile, thus obtaining the polymer aging lifetime under the multiple coupled aging conditions.

[0012] In one possible implementation, the prepared test sample is aged based on multiple coupled aging conditions, and the degradation volatiles during the aging process are analyzed and tested according to a pre-set test plan to obtain the index degradation volatiles, specifically including:

[0013] Multiple coupled aging conditions are constructed by selecting and based on multiple condition factors and the range of variation corresponding to each condition factor.

[0014] Based on the multiple coupled aging conditions, the thermo-oxidative aging environment of the polymer is simulated, and the prepared test samples are subjected to polymer aging treatment in the thermo-oxidative aging environment.

[0015] The degradation volatiles of the test sample during the aging process are obtained, and the degradation volatiles are analyzed and tested based on a preset test plan to obtain degradation volatile information of the test sample after aging. The degradation volatile information includes multiple gaseous products and the degradation volatile concentrations corresponding to each of the multiple gaseous products.

[0016] A correlation analysis was performed on the multiple gaseous products and the polymer aging process to determine the target gaseous products. These target gaseous products were then used as indicators of degradation volatiles.

[0017] In one possible implementation, based on a pre-set test plan, the degradation volatiles are analyzed and tested to obtain degradation volatile information of the test sample after aging, specifically including:

[0018] The degradation volatiles are detected using a Fourier transform infrared spectrometer to obtain an infrared absorption spectrum. Characteristic peaks in the infrared absorption spectrum are then identified to determine the gaseous products in the degradation volatiles.

[0019] Based on the linear standard curve of standard degradation volatiles, the intensity of the identified characteristic peaks is quantitatively analyzed to determine the concentration of degradation volatiles corresponding to the gaseous products; and / or,

[0020] The degradation volatiles were detected by gas chromatography-mass spectrometry using a gas chromatograph to obtain two-dimensional data, wherein the two-dimensional data consisted of time and mass-charge ratio.

[0021] The two-dimensional data is compared with a standard gas chromatogram to identify the gaseous products in the degradation volatiles. Based on a gas chromatography-mass spectrometry standard curve, the signal intensity of the two-dimensional data is quantitatively analyzed to determine the concentration of the degradation volatiles corresponding to the gaseous products; and / or,

[0022] The degradation volatiles are detected using an electrochemical sensor to obtain the potential changes generated by the degradation volatiles in the redox reaction, and the gaseous products in the degradation volatiles are determined based on the potential changes.

[0023] The potential change is compared with the standard potential change to determine the concentration of degradation volatiles corresponding to the gaseous product.

[0024] In one possible implementation, the concentration of the index degradation volatiles corresponding to different aging times is obtained, and a first mapping relationship based on the index degradation volatiles concentration and aging time is constructed, specifically including:

[0025] The concentrations of the volatile components of the index degradation at different aging times are obtained. Based on a preset first mapping relationship calculation formula, a nonlinear fitting process is performed on the different aging times and the concentrations of the volatile components of the index degradation at the different aging times to obtain a first mapping relationship between the concentration of the volatile components of the index degradation and the aging time. The calculation formula for the first mapping relationship is as follows:

[0026] p = polyfit(t, C, n);

[0027] Where p is the polynomial coefficient, t is the aging time, C is the concentration of volatile matter in the index degradation, and n is the polynomial order.

[0028] In one possible implementation, the mechanical properties of the aged test sample are tested, specifically including:

[0029] Tensile tests were performed on the aged test samples until the aged test samples broke, and the maximum tensile stress was determined.

[0030] The flexural strength of the aged test sample is tested until the aged test sample breaks or reaches the preset bending angle to determine the flexural strength.

[0031] Impact tests are conducted on the aged test samples until the aged test samples break or reach the preset number of impacts to determine the impact strength.

[0032] In one possible implementation, the mechanical properties of the aged test sample at different aging times are obtained, and a second mapping relationship between the mechanical properties and the aging time is constructed, specifically including:

[0033] The mechanical properties of the aged test samples at different aging times are obtained. Based on a preset second mapping relationship calculation formula, nonlinear fitting is performed on the different aging times and the mechanical properties corresponding to the different aging times to obtain a second mapping relationship between mechanical properties and aging time. The calculation formula for the second mapping relationship is as follows:

[0034] p′=polyfit(t,P,n′);

[0035] Where p′ is the polynomial coefficient, t is the aging time, P is the mechanical property, and n′ is the polynomial order.

[0036] In one possible implementation, a preset polymer thermo-oxidative aging lifetime assessment algorithm is used, and based on the target index degradation volatile concentration, the polymer thermo-oxidative aging lifetime of the target index degradation volatile is assessed to obtain the polymer aging lifetime under the multiple coupled aging conditions, specifically including:

[0037] The first time when the concentration of the index degradation volatiles corresponding to the index degradation volatiles at different aging temperatures reaches the target index degradation volatiles concentration is obtained. The different aging temperatures and the first time corresponding to each of the different aging temperatures are substituted into the Arrhenius formula to determine the first ratio of the reaction activation energy to the gas constant, as well as the logarithmic value of the pre-exponential factor.

[0038] Substituting the first ratio, the logarithmic value of the pre-exponential factor, and the multiple coupled aging conditions into a preset polymer thermo-oxidative aging lifetime calculation formula, the polymer aging lifetime under the multiple coupled aging conditions is obtained; wherein, the polymer thermo-oxidative aging lifetime calculation formula is as follows:

[0039]

[0040] In the formula, t′ f For polymer materials at aging temperature T′ f The polymer aging life under the following conditions, T′ f Here, A represents the aging temperature, E represents the pre-exponential factor, E represents the activation energy of the reaction, and R represents the gas constant.

[0041] This application also provides a polymer lifetime assessment device, including: a multi-factor coupled accelerated aging module, a first mapping relationship construction module, a second mapping relationship construction module, a target index degradation volatile concentration determination module, and a polymer thermo-oxidative aging lifetime assessment module;

[0042] The multi-factor coupled accelerated aging module is used to age the prepared test sample based on multiple coupled aging conditions, and to analyze and test the degradation volatiles during the aging process based on a preset test plan to obtain the index degradation volatiles.

[0043] The first mapping relationship construction module is used to obtain the concentration of the index degradation volatiles corresponding to different aging times, and construct a first mapping relationship based on the concentration of index degradation volatiles and aging time;

[0044] The second mapping relationship construction module is used to perform mechanical property testing on the aged test sample, obtain the mechanical properties of the aged test sample at different aging times, and construct a second mapping relationship based on the mechanical properties and aging time.

[0045] The target index degradation volatile concentration determination module is used to construct an equivalent relationship between mechanical properties and index degradation volatiles based on the first mapping relationship and the second mapping relationship, and to calculate the target index degradation volatile concentration equivalent to the mechanical performance endpoint based on the equivalent relationship.

[0046] The polymer thermo-oxidative aging life assessment module is used to evaluate the polymer thermo-oxidative aging life using a preset polymer thermo-oxidative aging life assessment algorithm and based on the target index degradation volatile concentration, to obtain the polymer aging life under the multiple coupled aging conditions.

[0047] In one possible implementation, the multi-factor coupled accelerated aging module is used to age the prepared test sample based on multiple constructed coupled aging conditions, and to analyze and test the degradation volatiles during the aging process based on a preset test plan to obtain the index degradation volatiles, specifically including:

[0048] Multiple coupled aging conditions are constructed by selecting and based on multiple condition factors and the range of variation corresponding to each condition factor.

[0049] Based on the multiple coupled aging conditions, the thermo-oxidative aging environment of the polymer is simulated, and the prepared test samples are subjected to polymer aging treatment in the thermo-oxidative aging environment.

[0050] The degradation volatiles of the test sample during the aging process are obtained, and the degradation volatiles are analyzed and tested based on a preset test plan to obtain degradation volatile information of the test sample after aging. The degradation volatile information includes multiple gaseous products and the degradation volatile concentrations corresponding to each of the multiple gaseous products.

[0051] A correlation analysis was performed on the multiple gaseous products and the polymer aging process to identify the target gaseous products, which were then used as indicators for the degradation of volatile matter.

[0052] In one possible implementation, the multi-factor coupled accelerated aging module is used to analyze and test the degradation volatiles based on a preset test plan to obtain degradation volatiles information of the test sample after aging, specifically including:

[0053] The degradation volatiles are detected using a Fourier transform infrared spectrometer to obtain an infrared absorption spectrum. Characteristic peaks in the infrared absorption spectrum are then identified to determine the gaseous products in the degradation volatiles.

[0054] Based on the linear standard curve of standard degradation volatiles, the intensity of the identified characteristic peaks is quantitatively analyzed to determine the concentration of degradation volatiles corresponding to the gaseous products; and / or,

[0055] The degradation volatiles were detected by gas chromatography-mass spectrometry using a gas chromatograph to obtain two-dimensional data, wherein the two-dimensional data consisted of time and mass-charge ratio.

[0056] The two-dimensional data is compared with a standard gas chromatogram to identify the gaseous products in the degradation volatiles. Based on a gas chromatography-mass spectrometry standard curve, the signal intensity of the two-dimensional data is quantitatively analyzed to determine the concentration of the degradation volatiles corresponding to the gaseous products; and / or,

[0057] The degradation volatiles are detected using an electrochemical sensor to obtain the potential changes generated by the degradation volatiles in the redox reaction, and the gaseous products in the degradation volatiles are determined based on the potential changes.

[0058] The potential change is compared with the standard potential change to determine the concentration of degradation volatiles corresponding to the gaseous product.

[0059] In one possible implementation, the first mapping relationship construction module is used to obtain the concentration of the index degradation volatiles at different aging times, and to construct a first mapping relationship based on the concentration of the index degradation volatiles and the aging time, specifically including:

[0060] The concentrations of the volatile components of the index degradation at different aging times are obtained. Based on a preset first mapping relationship calculation formula, a nonlinear fitting process is performed on the different aging times and the concentrations of the volatile components of the index degradation at the different aging times to obtain a first mapping relationship between the concentration of the volatile components of the index degradation and the aging time. The calculation formula for the first mapping relationship is as follows:

[0061] p = polyfit(t, C, n);

[0062] Where p is the polynomial coefficient, t is the aging time, C is the concentration of volatile matter in the index degradation, and n is the polynomial order.

[0063] In one possible implementation, the second mapping relationship construction module is used to perform mechanical property testing on the aged test sample, specifically including:

[0064] Tensile tests were performed on the aged test samples until the aged test samples broke, and the maximum tensile stress was determined.

[0065] The flexural strength of the aged test sample is tested until the aged test sample breaks or reaches the preset bending angle to determine the flexural strength.

[0066] Impact tests are conducted on the aged test samples until the aged test samples break or reach the preset number of impacts to determine the impact strength.

[0067] In one possible implementation, the second mapping relationship construction module is used to obtain the mechanical properties of the aged test sample at different aging times, and to construct a second mapping relationship based on the mechanical properties and aging time, specifically including:

[0068] The mechanical properties of the aged test samples at different aging times are obtained. Based on a preset second mapping relationship calculation formula, nonlinear fitting is performed on the different aging times and the mechanical properties corresponding to the different aging times to obtain a second mapping relationship between mechanical properties and aging time. The calculation formula for the second mapping relationship is as follows:

[0069] p′=polyfit(t,P,n′);

[0070] Where p′ is the polynomial coefficient, t is the aging time, P is the mechanical property, and n′ is the polynomial order.

[0071] In one possible implementation, the polymer thermo-oxidative aging lifetime assessment module is used to utilize a preset polymer thermo-oxidative aging lifetime assessment algorithm and, based on the target index degradation volatile concentration, to assess the polymer thermo-oxidative aging lifetime of the index degradation volatiles, thereby obtaining the polymer aging lifetime under the multiple coupled aging conditions, specifically including:

[0072] The first time when the concentration of the index degradation volatiles corresponding to the index degradation volatiles at different aging temperatures reaches the target index degradation volatiles concentration is obtained. The different aging temperatures and the first time corresponding to each of the different aging temperatures are substituted into the Arrhenius formula to determine the first ratio of the reaction activation energy to the gas constant, as well as the logarithmic value of the pre-exponential factor.

[0073] Substituting the first ratio, the logarithmic value of the pre-exponential factor, and the multiple coupled aging conditions into a preset polymer thermo-oxidative aging lifetime calculation formula, the polymer aging lifetime under the multiple coupled aging conditions is obtained; wherein, the polymer thermo-oxidative aging lifetime calculation formula is as follows:

[0074]

[0075] In the formula, t′ f For polymer materials at aging temperature T′ f The polymer aging life under the following conditions, T′ f Here, A represents the aging temperature, E represents the pre-exponential factor, E represents the activation energy of the reaction, and R represents the gas constant.

[0076] This application also provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor executes the computer program to implement the polymer lifetime assessment method as described in any of the preceding claims.

[0077] This application also provides a computer-readable storage medium comprising a stored computer program, wherein, when the computer program is executed, it controls the device on which the computer-readable storage medium is located to perform the polymer lifetime assessment method as described in any of the preceding claims.

[0078] This application discloses a polymer lifetime assessment method, apparatus, device, and storage medium, which, compared with the prior art, have the following advantages:

[0079] Based on multiple coupled aging conditions, the prepared test samples were aged. Based on a pre-set test plan, the degradation volatiles during the aging process were analyzed and tested to obtain the index degradation volatiles. The concentrations of the index degradation volatiles at different aging times were obtained, and a first mapping relationship between the index degradation volatile concentration and aging time was constructed. The mechanical properties of the aged test samples were tested to obtain the mechanical properties of the aged test samples at different aging times, and a second mapping relationship between the mechanical properties and aging time was constructed. Based on the first and second mapping relationships, an equivalent relationship between the mechanical properties and the index degradation volatiles was constructed. The present invention calculates the concentration of volatile matter equivalent to the target index at the mechanical performance endpoint; utilizes a preset polymer thermo-oxidative aging life assessment algorithm, and based on the concentration of volatile matter equivalent to the target index, assesses the polymer thermo-oxidative aging life of the index, obtaining the polymer aging life under multiple coupled aging conditions; compared with the prior art, the technical solution of the present invention, by constructing a first mapping relationship and a second mapping relationship, can combine volatile matter analysis and mechanical performance testing, and can more comprehensively assess the performance changes of the polymer during the aging process; finally, by calculating the concentration of volatile matter equivalent to the target index at the mechanical performance endpoint, the service life of the polymer can be predicted more scientifically; thus improving the accuracy and efficiency of aging assessment. Attached Figure Description

[0080] Figure 1 This is a schematic flowchart of an embodiment of a polymer lifetime assessment method provided in this application;

[0081] Figure 2 This is a schematic diagram of the structure of one embodiment of a polymer lifetime assessment device provided in this application;

[0082] Figure 3This is a schematic diagram showing the connection between the multi-factor coupled accelerated aging model, the electrical control module, and the degradation volatile products testing module, according to one embodiment of this application.

[0083] Figure 4 This is a schematic diagram of the structure of a terminal device provided by the present invention. Detailed Implementation

[0084] The technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0085] Example 1, see Figure 1 , Figure 1 This is a schematic flowchart of an embodiment of a polymer lifetime assessment method provided in this application, as shown below. Figure 1 As shown, the method includes steps 101-105, as detailed below:

[0086] Step 101: Based on the constructed multiple coupled aging conditions, the prepared test samples are aged, and based on the preset test plan, the degradation volatiles during the aging process are analyzed and tested to obtain the index degradation volatiles.

[0087] In one embodiment, multiple coupled aging conditions are constructed based on multiple condition factors and the range of variation corresponding to each condition factor.

[0088] Specifically, a multi-factor coupled accelerated aging model is constructed, and multiple conditional factors are selected using the multi-factor coupled accelerated aging model, and the variation range corresponding to each conditional factor is determined. The multiple conditional factors include, but are not limited to, temperature, oxygen concentration and pressure.

[0089] Preferably, when the condition factor is temperature, its corresponding range is 30℃-300℃; when the condition factor is oxygen concentration, its corresponding range is 0%-100%; and when the condition factor is pressure, its corresponding range is 0MPa-10MPa.

[0090] Specifically, by adjusting the level values ​​of different condition factors and their combinations, multiple different coupled aging conditions are constructed.

[0091] In one embodiment, a thermo-oxidative aging environment for the polymer is simulated based on the multiple coupled aging conditions, and the prepared test sample is subjected to polymer aging treatment in the thermo-oxidative aging environment.

[0092] Specifically, the test samples are prepared according to the type of polymer material and the application scenario, based on the aging characteristic indicators to be tested, such as mechanical properties and thermal stability; and in accordance with the corresponding testing and standard requirements.

[0093] Specifically, the multi-factor coupled accelerated aging model selects appropriate temperature, oxygen concentration, and pressure to simulate the thermo-oxidative aging environment of polymers based on the multiple coupled aging conditions and in combination with the type of polymer material and application scenario.

[0094] For example, for a typical amorphous material, polycarbonate (PC), the coupled aging conditions include a temperature range of room temperature to 190°C (40°C above the glass transition temperature), an oxygen concentration range of 0% to 100%, and a pressure range of 0 MPa to 10 MPa; for a typical crystalline plastic, polyethylene terephthalate (PET), the coupled aging conditions include a temperature range of room temperature to 220°C (30°C below the melting point), an oxygen concentration range of 0% to 100%, and a pressure range of 0 MPa to 10 MPa.

[0095] As an example, for a typical amorphous material, polycarbonate (PC), the aging conditions selected are: temperature 160℃, oxygen concentration 20.9%, and pressure 0.75 MPa. Taking Fourier transform infrared spectroscopy to monitor degradation volatiles as an example, the peak heights of characteristic peaks were recorded. The tensile properties of PC samples during the aging process were tested and recorded using a universal tensile testing machine. The specific sampling time points, corresponding tensile properties, and degradation volatiles test results are detailed in Table 1.

[0096] Table 1. Sampling time points, corresponding tensile properties, and degradation volatile matter test results.

[0097] Aging time t / h Tensile property retention rate C / % Degradation volatile absorbance x 0 100.0％ <![CDATA[Phenol / 0.1; CO2 / 0.3]]> 150 90.2％ <![CDATA[Phenol / 0.1; CO2 / 0.6]]> 300 60.5％ <![CDATA[Phenol / 0.15; CO2 / 1.0]]> 400 45.4％ <![CDATA[Phenol / 0.18; CO2 / 1.5]]> 500 30.9％ <![CDATA[Phenol / 0.20; CO2 / 1.7]]>

[0098] Based on the test results of the degradation volatiles, CO2, which showed a significant concentration change, was selected as the index degradation volatile of PC. A standard curve for CO2 was generated using an infrared spectrometer, yielding the curve: C / % = 6x - 0.3, where x is the corresponding absorbance value. Based on this standard curve, the concentration of the index degradation volatiles during the aging process was calculated.

[0099] Based on the mechanical property test results, a polynomial equation was constructed to fit the relationship between aging time and tensile property retention rate. First-order, second-order, third-order, and exponential fitting were performed, yielding the following fitting coefficients: first-order: 0.96951; second-order: 0.97124; third-order: 0.99258; exponential: 0.95417. Therefore, the fitting order was determined to be third-order, resulting in the first fitting equation, as shown below:

[0100] P = 8.806 * 10-7 t 3 -7.606*10 -4 t 2 +0.022t+100.174

[0101] Based on the test results of the volatile matter concentration of the index degradation, a polynomial equation was constructed to fit the relationship between aging time and the volatile matter concentration of the index degradation. First-order, second-order, third-order, and exponential fitting were performed, yielding the following fitting coefficients: first-order: 0.97000; second-order: 0.97124; third-order: 0.96603; exponential: 0.9549. Therefore, the fitting order was determined to be second-order, resulting in the second fitting equation, as shown below:

[0102] C = 1.848 * 10 -6 t 2 +0.002t+0.283

[0103] According to the first fitting equation, the corresponding t = 364.29 h for the lifespan endpoint (P = 50) is obtained. Substituting this t value into the second fitting equation, the corresponding concentration of volatile matter in the degradation index, C = 1.262%, is obtained for the lifespan endpoint. Therefore, for materials based on PC or molded parts made from PC, the aging lifespan of the material can be estimated by monitoring the concentration of volatile matter in the degradation index (CO2 for PC) during the aging process. The aging time when the concentration of volatile matter in the degradation index is 1.262% is the lifespan endpoint of the experimental sample.

[0104] Specifically, since polymer materials age faster when the temperature, oxygen concentration, and environmental pressure are higher, a multi-factor coupled accelerated aging model is used to accelerate the aging of polymers.

[0105] Specifically, the multi-factor coupled accelerated aging model also includes a sample cell and an atmosphere controller and a temperature controller.

[0106] Preferably, the sample cell consists of a reaction vessel body, a vessel lid, a vessel body lifting device, a sample rack, etc. The sample rack can ensure the orderly and stable placement of the test samples, thereby realizing multi-factor coupled sample aging under specific conditions.

[0107] Preferably, the temperature controller includes a heater and a temperature measuring device, and the aging temperature can be set in a controllable manner through the temperature controller.

[0108] Preferably, the atmosphere controller includes an air supply pipeline and valves, and different combinations of aging atmosphere and pressure can be achieved through the atmosphere controller.

[0109] Specifically, the test sample is placed in the sample cell and sealed. A reaction gas of a specified concentration and composition is introduced into the sample cell through an atmosphere controller. During the gas introduction process, the pressure in the sample cell is monitored in real time by a pressure sensor. When the predetermined reaction pressure is reached, the gas introduction is stopped, and a temperature controller is used to ensure that the sample cell is heated to the predetermined test temperature.

[0110] In one embodiment, the degradation volatiles of the test sample during the aging process are obtained, and the degradation volatiles are analyzed and tested based on a preset test plan to obtain degradation volatile information of the test sample after aging. The degradation volatile information includes multiple gaseous products and the degradation volatile concentrations corresponding to each of the multiple gaseous products.

[0111] Specifically, an electrical control module and a degradation volatile product testing module are constructed, such as... Figure 3 As shown, Figure 3 This is a schematic diagram showing the connection between the multi-factor coupled accelerated aging model, the electrical control module, and the degradation volatile products testing module. The electrical control module is connected to the sample cell via a gas delivery pipeline. The electrical control module includes a flow sensor for detecting gas flow rate, a gas valve for controlling gas flow rate, and a controller for quantitative and rate-controlled gas delivery.

[0112] Specifically, the electrical control module is used to transport the degradation volatiles of the test sample during the aging process to the degradation volatiles testing module; the degradation volatiles testing module is used to analyze and test the degradation volatiles based on a preset test plan.

[0113] Specifically, the test time point for conducting degradation volatile matter testing is determined. When the test time point is reached, the degradation volatile matter is delivered to the degradation volatile matter testing module at a certain flow rate and volume through the electrical control module. The degradation volatile matter is then analyzed and detected based on the sensors or detection devices in the degradation volatile matter testing module, so that different sensors or detection devices in the degradation volatile matter testing module provide different degradation volatile matter information. The degradation volatile matter information includes multiple gaseous products and the degradation volatile matter concentration corresponding to each of the multiple gaseous products.

[0114] Preferably, the degradation volatile product testing module consists of one or more different sensors or detection devices connected in series or parallel, including but not limited to Fourier transform infrared spectrometer, gas chromatograph, and electrochemical sensor; wherein, the electrochemical sensor can provide the electrochemical characteristics of the degradation volatiles; the Fourier transform infrared spectrometer can provide the molecular structure information of the degradation volatiles; the gas chromatograph can provide the chemical composition information of the degradation volatiles; these detection technologies have the characteristics of fast testing speed and high detection sensitivity, and can perform accurate and efficient qualitative and quantitative analysis of volatile degradation products after polymer aging.

[0115] In one embodiment, the degradation volatiles are detected using a Fourier transform infrared spectrometer to obtain an infrared absorption spectrum. Characteristic peaks are identified in the infrared absorption spectrum to determine the gaseous products in the degradation volatiles. Based on a linear standard curve of standard degradation volatiles, the intensity of the identified characteristic peaks is quantitatively analyzed to determine the concentration of degradation volatiles corresponding to the gaseous products.

[0116] Specifically, the degradation volatiles are scanned using a Fourier transform infrared spectrometer to record the absorption of infrared radiation within a specific wavelength range; and the collected data is converted into an infrared absorption spectrum.

[0117] Specifically, the acquired infrared absorption spectrum is preprocessed, including baseline correction, to eliminate background signals caused by factors such as instrument noise and sample inhomogeneity.

[0118] Specifically, by comparing with known standard spectra, characteristic peaks in the spectra are identified and associated with specific chemical structures or functional groups, thereby determining the types of gaseous products in the degradation volatiles.

[0119] Specifically, using a standard degradation volatile sample with a known concentration, the infrared absorption spectrum of the sample is measured by a Fourier transform infrared spectrometer, and the intensity of the characteristic peak is recorded. Based on the relationship between the intensity of the characteristic peak and the known concentration, a linear standard curve of the standard degradation volatile is established, which is used for subsequent quantitative analysis.

[0120] Specifically, the intensity of a characteristic peak can be characterized by its peak area or peak height.

[0121] Specifically, the intensity of the identified characteristic peak is compared with the linear standard curve, and the concentration of degradation volatiles corresponding to the characteristic peak intensity is calculated according to the curve equation. Based on this, the concentration of degradation volatiles corresponding to different gaseous products in the degradation volatiles is determined.

[0122] In one embodiment, the degradation volatiles are detected by gas chromatography-mass spectrometry (GC-MS) using a gas chromatograph to obtain two-dimensional data, wherein the two-dimensional data consists of time and mass-charge ratio. The two-dimensional data is compared with a standard gas chromatogram to identify the gaseous products in the degradation volatiles. Based on the GC-MS standard curve, the signal intensity of the two-dimensional data is quantitatively analyzed to determine the concentration of degradation volatiles corresponding to the gaseous products.

[0123] Specifically, the degradation volatiles are injected into a gas chromatograph so that they are separated in the chromatographic column according to the volatility of different components; the separated components are then introduced into a mass spectrometer and detected according to the mass-charge ratio (m / z) to obtain the mass spectrum of each component.

[0124] Specifically, the analysis using gas chromatography-mass spectrometry yields two-dimensional data, one dimension of which is time (chromatographic separation time), and the other dimension is the mass-to-charge ratio (m / z). This two-dimensional data is presented in the form of a chromatogram, with the horizontal axis representing time and the vertical axis representing signal intensity, and different peaks corresponding to different components.

[0125] Specifically, the chromatograms obtained by gas chromatography-mass spectrometry are compared with the chromatograms of known standard degradation volatiles. By matching the retention times of characteristic peaks with the mass spectra, the types of gaseous products present in the degradation volatiles are determined.

[0126] Specifically, gas chromatography-mass spectrometry (GC-MS) analysis was performed using standard degradation volatiles of known concentrations. The signal intensity of the characteristic peaks for each standard degradation volatile, such as peak area or peak height, was recorded. Based on the relationship between signal intensity and known concentration, a GC-MS standard curve was established for subsequent quantitative analysis.

[0127] Specifically, using the established gas chromatography-mass spectrometry standard curve, the corresponding concentration of degradation volatiles is calculated based on the signal intensity of the characteristic peaks in the chromatogram composed of two-dimensional data.

[0128] In one embodiment, the degradation volatiles are detected using an electrochemical sensor to obtain the potential change generated by the degradation volatiles in the redox reaction, and the gaseous products in the degradation volatiles are determined based on the potential change; the potential change is compared with the standard potential change to determine the concentration of degradation volatiles corresponding to the gaseous products.

[0129] Specifically, when the gaseous products in the degradation volatiles undergo an oxidation-reduction reaction with the electrode surface of the electrochemical sensor, a potential change will occur, wherein the potential change is a change in current or a change in voltage.

[0130] Specifically, based on the characteristics of potential changes, the potential response associated with specific gaseous products is identified; and compared with known electrochemical response data, the types of gaseous products present in the degradation volatiles are determined.

[0131] Specifically, a series of standard gas samples with known concentrations are used to measure their potential changes on an electrochemical sensor; based on the relationship between potential change and gas concentration, a standard potential change curve is established.

[0132] Specifically, the potential changes generated by the gaseous products in the degradation volatiles are compared with the standard potential change curve, and the corresponding concentration of degradation volatiles is calculated based on the curve equation.

[0133] In one embodiment, a correlation analysis is performed on the plurality of gaseous products and the polymer aging process to determine the target gaseous product, which is then used as an indicator of degradation volatiles.

[0134] Specifically, at different aging time points or under different aging conditions, information on degradation volatiles corresponding to degradation volatiles is collected using methods such as gas chromatography-mass spectrometry, Fourier transform infrared spectroscopy, and electrochemical sensors.

[0135] Specifically, statistical analysis methods are used to analyze the composition of gaseous products of degradation volatiles and the changes in the concentration of degradation volatiles in different samples, focusing on gaseous products that increase or decrease significantly during aging and their trends with the degree of aging; through correlation analysis, it is determined which gaseous product concentration changes are significantly correlated with the degree of polymer aging, for example, calculating the correlation coefficient between the concentration of different gaseous products and aging time or degree of aging, and identifying gaseous products with high correlation.

[0136] Specifically, based on the results of the correlation analysis, gaseous products that are significantly related to the aging process are selected as indicators of degradation volatiles; preferably, the ease of detection of gaseous products and their sensitivity to the aging process are also considered, and gaseous products that are easy to detect and can sensitively reflect the aging process are selected.

[0137] Example Explanation: Analysis revealed a significant correlation between the concentration of formaldehyde degradation volatiles and the degree of polymer aging in samples at different aging stages. Furthermore, formaldehyde is readily detectable using gas chromatography-mass spectrometry, Fourier transform infrared spectroscopy, and electrochemical sensors, and its degradation volatiles concentration sensitively reflects the polymer aging process. Therefore, formaldehyde can be selected as an indicator for monitoring polymer aging degradation volatiles.

[0138] Step 102: Obtain the concentration of the index degradation volatiles at different aging times, and construct a first mapping relationship based on the concentration of index degradation volatiles and aging time.

[0139] In one embodiment, the concentration of the index degradation volatiles corresponding to different aging times is obtained, and the different aging times and the concentration of the index degradation volatiles corresponding to the different aging times are subjected to nonlinear fitting processing based on a preset first mapping relationship calculation formula to obtain a first mapping relationship based on the concentration of index degradation volatiles and aging time.

[0140] Specifically, based on the obtained concentrations of volatile matter in the index degradation corresponding to different aging times, multiple numerical pairs are generated, where each numerical pair includes an aging time and its corresponding concentration of volatile matter in the index degradation.

[0141] Specifically, for multiple numerical pairs, nonlinear fitting methods, such as polynomial fitting, are used to establish the relationship between aging time and the concentration of microscopic degradation volatiles.

[0142] Specifically, the formula for calculating the first mapping relationship is as follows:

[0143] p = polyfit(t, C, n);

[0144] Where p is the polynomial coefficient, t is the aging time, C is the concentration of volatile matter in the index degradation, and n is the polynomial order.

[0145] Specifically, the first mapping relationship calculation formula is a polynomial expression formula of unknown order. Given t and C, other parameters and corresponding formulas can be obtained by selecting the equation with better fitting coefficients through polynomial fitting.

[0146] Specifically, based on the experimental data, the Origin software can be used to obtain a line graph with the vertical axis (concentration of volatile matter in the index degradation) and the horizontal axis (aging time). Then, polynomial coefficients are applied to the curve, and the fitting equation with the best fitting coefficient is selected to obtain the corresponding p and n.

[0147] Step 103: Perform mechanical property tests on the aged test samples, obtain the mechanical properties of the aged test samples at different aging times, and construct a second mapping relationship based on the mechanical properties and aging time.

[0148] In one embodiment, when testing the mechanical properties of the aged test sample, the maximum tensile stress is determined by performing a tensile test on the aged test sample until it breaks; the bending strength is determined by performing a bending strength test on the aged test sample until it breaks or reaches a preset bending angle; and the impact strength is determined by performing an impact test on the aged test sample until it breaks or reaches a preset number of impacts.

[0149] Specifically, during the accelerated aging process, according to the set experimental plan, the reactor lid is opened at the aging time point, the test sample aged for a certain period of time is taken out from the sample rack, and the test sample is placed in a constant temperature and humidity chamber and adjusted to meet the test standards, such as the environmental conditions required by UL746A.

[0150] Specifically, the test sample is mounted on a tensile testing machine, and the tensile force is gradually increased according to the standard test procedure until the test sample breaks; the maximum tensile stress is recorded as the maximum tensile stress that the test sample can withstand during the tensile process.

[0151] Specifically, the test sample is mounted on a bending tester, and the bending force is gradually increased until the test sample breaks or reaches a predetermined bending angle. The bending strength is recorded as the bending strength that the test sample can withstand during the bending process.

[0152] Specifically, the test sample is mounted on an impact testing machine and subjected to impact testing, and the performance of the sample during the impact process is recorded; the impact test can include tensile impact, cantilever beam impact and simply supported beam impact, etc.

[0153] In one embodiment, the mechanical properties of the aged test sample at different aging times are obtained, and the different aging times and the mechanical properties corresponding to the different aging times are subjected to nonlinear fitting processing based on a preset second mapping relationship calculation formula to obtain a second mapping relationship based on mechanical properties and aging time.

[0154] Specifically, based on the mechanical properties obtained at different aging times, multiple numerical pairs are generated, where each numerical pair includes an aging time and its corresponding mechanical properties.

[0155] Specifically, for multiple numerical pairs, nonlinear fitting methods, such as polynomial fitting, are used to establish the relationship between aging time and macroscopic mechanical properties.

[0156] Specifically, a fitting curve is generated for each mechanical property. When actually predicting the material's lifespan, one mechanical property is selected for lifespan prediction, so it is not necessary to fit the test results for each mechanical property.

[0157] Specifically, the formula for calculating the second mapping relationship is as follows:

[0158] p′=polyfit(t,P,n′);

[0159] Where p′ is the polynomial coefficient, t is the aging time, P is the mechanical property, and n′ is the polynomial order.

[0160] Step 104: Based on the first mapping relationship and the second mapping relationship, construct the equivalent relationship between mechanical properties and index degradation volatiles, and based on the equivalent relationship, calculate the target index degradation volatiles concentration equivalent to the mechanical performance endpoint.

[0161] In one embodiment, based on the first mapping relationship and the second mapping relationship, the corresponding mechanical property value and index degradation volatile concentration can be obtained at any aging time; thereby, an equivalent relationship between macroscopic mechanical properties and microscopic volatile degradation products that change with aging time can be established.

[0162] In one embodiment, according to standard UL746B, when the mechanical properties of a polymer material decrease to 50% of their initial values, the endpoint P of the polymer material's mechanical properties is considered to have been reached. i Based on the equivalent relationship between mechanical properties and the index of volatile matter degradation, the mechanical performance endpoint P can be calculated. i Equivalent index: volatile matter concentration C i That is, the concentration of volatile matter in the target index.

[0163] Step 105: Using a preset polymer thermo-oxidative aging lifetime assessment algorithm, and based on the target index degradation volatile concentration, assess the polymer thermo-oxidative aging lifetime of the index degradation volatile, and obtain the polymer aging lifetime under the multiple coupled aging conditions.

[0164] In one embodiment, the target index of degradation volatiles concentration is used as the criterion for assessing polymer aging failure; that is, when the degradation volatiles concentration reaches the target index of degradation volatiles concentration C... i When the value is reached, the polymer material is considered to have reached its failure point.

[0165] In one embodiment, the first time when the concentration of the index degradation volatiles corresponding to the index degradation volatiles at different aging temperatures reaches the target index degradation volatiles concentration is obtained. The different aging temperatures and the first time corresponding to each of the different aging temperatures are substituted into the Arrhenius formula to determine the first ratio of the reaction activation energy to the gas constant and the logarithmic value of the pre-exponential factor.

[0166] Specifically, the Arrhenius formula is as follows:

[0167]

[0168] In the formula, k(t) i ′ T represents the aging rate. i ′ For the i-th preset aging temperature, t i ′ For T i′ When the concentration of volatile matter in the degradation reaches the target index, the concentration of volatile matter in the degradation C i The time value is given by A, which represents the pre-exponential factor, E, which is the activation energy of the reaction, and R, which is the gas constant.

[0169] Specifically, taking the natural logarithm of the Arrhenius formula yields... Substituting different aging temperatures and their corresponding first time points into the Arrhenius formula obtained by taking the natural logarithm, multiple sets of data were obtained. A linear regression was then performed on the multiple sets of data, with a slope of [value missing]. The intercept is lnA. The slope is used as the first ratio of the reaction activation energy to the gas constant, and the intercept is used as the logarithmic value of the pre-exponential factor.

[0170] In one embodiment, the first ratio, the logarithmic value of the pre-exponential factor, and the multiple coupled aging conditions are respectively substituted into a preset polymer thermo-oxidative aging lifetime calculation formula to obtain the polymer aging lifetime under the multiple coupled aging conditions.

[0171] Specifically, the formula for calculating the polymer's thermo-oxidative aging life is as follows:

[0172]

[0173] In the formula, t ′ f For polymer materials at aging temperature T ′ f The polymer aging life under the following conditions, T ′ f Here, A represents the aging temperature, E represents the pre-exponential factor, E represents the activation energy of the reaction, and R represents the gas constant.

[0174] Based on the aforementioned formula for calculating the thermo-oxidative aging life of polymers, the thermo-oxidative aging life of model polymer materials can be calculated. For parts molded from the model polymer, the thermo-oxidative aging life of the molded parts can be determined by monitoring the changes in the concentration of volatile matter in the degradation index during the aging process.

[0175] In one embodiment, during the polymer aging process, an electrical control module can deliver a certain volume of degradation volatiles to the detection module in real time. The degradation volatiles detection module then continuously evaluates the index degradation volatiles online. When the degradation volatiles concentration reaches the index degradation volatiles concentration C... i When the polymer material reaches its failure point, the corresponding time is considered to be the polymer aging life under that aging condition.

[0176] Preferably, for materials that are similar to or have similar properties to the polymer, the above-mentioned polymer life assessment method can be used for aging life assessment.

[0177] Example 2, see Figure 2 , Figure 2 This is a schematic diagram of one embodiment of a polymer lifetime assessment device provided in this application, as shown below. Figure 2 As shown, the device includes a multi-factor coupled accelerated aging module 201, a first mapping relationship construction module 202, a second mapping relationship construction module 203, a target index degradation volatile concentration determination module 204, and a polymer thermo-oxidative aging life assessment module 205, as detailed below:

[0178] The multi-factor coupled accelerated aging module 201 is used to age the prepared test sample based on multiple coupled aging conditions, and to analyze and test the degradation volatiles during the aging process based on a preset test plan to obtain the index degradation volatiles.

[0179] The first mapping relationship construction module 202 is used to obtain the concentration of the index degradation volatiles corresponding to different aging times, and construct a first mapping relationship based on the concentration of index degradation volatiles and aging time.

[0180] The second mapping relationship construction module 203 is used to perform mechanical property testing on the aged test sample, obtain the mechanical properties of the aged test sample at different aging times, and construct a second mapping relationship based on the mechanical properties and aging time.

[0181] The target index degradation volatile concentration determination module 204 is used to construct an equivalent relationship between mechanical properties and index degradation volatiles based on the first mapping relationship and the second mapping relationship, and to calculate the target index degradation volatile concentration equivalent to the mechanical performance endpoint based on the equivalent relationship.

[0182] The polymer thermo-oxidative aging life assessment module 205 is used to evaluate the polymer thermo-oxidative aging life using a preset polymer thermo-oxidative aging life assessment algorithm and based on the target index degradation volatile concentration, to obtain the polymer aging life under the multiple coupled aging conditions.

[0183] In one embodiment, the multi-factor coupled accelerated aging module 201 is used to age the prepared test sample based on multiple constructed coupled aging conditions, and to analyze and test the degradation volatiles during the aging process based on a preset test plan to obtain the index degradation volatiles. Specifically, it includes: selecting and constructing multiple coupled aging conditions based on multiple condition factors and the corresponding variation range of each condition factor; simulating the thermo-oxidative aging environment of the polymer based on the multiple coupled aging conditions, and aging the prepared test sample in the thermo-oxidative aging environment; obtaining the degradation volatiles of the test sample during the aging process, and analyzing and testing the degradation volatiles based on the preset test plan to obtain the degradation volatiles information of the aged test sample, wherein the degradation volatiles information includes multiple gaseous products and the degradation volatiles concentration corresponding to each of the multiple gaseous products; performing correlation analysis between the multiple gaseous products and the polymer aging process to determine the target gaseous product, and using the target gaseous product as the index degradation volatiles.

[0184] In one embodiment, the multi-factor coupled accelerated aging module 201 is used to analyze and test the degradation volatiles based on a preset test plan to obtain degradation volatile information of the test sample after aging. Specifically, this includes: detecting the degradation volatiles using a Fourier transform infrared spectrometer to obtain an infrared absorption spectrum; identifying characteristic peaks in the infrared absorption spectrum to determine the gaseous products in the degradation volatiles; quantitatively analyzing the intensity of the identified characteristic peaks based on a linear standard curve of standard degradation volatiles to determine the concentration of degradation volatiles corresponding to the gaseous products; and / or, performing gas chromatography-mass spectrometry (GC-MS) detection on the degradation volatiles using a gas chromatograph to obtain... Two-dimensional data, wherein the two-dimensional data consists of time and mass-charge ratio; the two-dimensional data is compared with a standard gas chromatogram to determine the gaseous products in the degradation volatiles; the signal intensity of the two-dimensional data is quantitatively analyzed based on a gas chromatography-mass spectrometry standard curve to determine the concentration of degradation volatiles corresponding to the gaseous products; and / or, the degradation volatiles are detected based on an electrochemical sensor to obtain the potential changes generated by the degradation volatiles in the redox reaction; the gaseous products in the degradation volatiles are determined based on the potential changes; the potential changes are compared with standard potential changes to determine the concentration of degradation volatiles corresponding to the gaseous products.

[0185] In one embodiment, the first mapping relationship construction module 202 is used to obtain the concentration of the index degradation volatiles corresponding to different aging times, and to construct a first mapping relationship based on the concentration of index degradation volatiles and aging time. Specifically, it includes: obtaining the concentration of the index degradation volatiles corresponding to different aging times, performing nonlinear fitting processing on the different aging times and the concentration of index degradation volatiles corresponding to the different aging times based on a preset first mapping relationship calculation formula, to obtain the first mapping relationship based on the concentration of index degradation volatiles and aging time. The first nonlinear relationship calculation formula is as follows:

[0186] p = polyfit(t, C, n);

[0187] Where p is the polynomial coefficient, t is the aging time, C is the concentration of volatile matter in the index degradation, and n is the polynomial order.

[0188] In one embodiment, the second mapping relationship construction module 203 is used to perform mechanical property testing on the aged test sample, specifically including: performing a tensile test on the aged test sample until the aged test sample breaks to determine the maximum tensile stress; performing a bending strength test on the aged test sample until the aged test sample breaks or reaches a preset bending angle to determine the bending strength; and performing an impact test on the aged test sample until the aged test sample breaks or reaches a preset number of impacts to determine the impact strength.

[0189] In one embodiment, the second mapping relationship construction module 203 is used to obtain the mechanical properties of the aged test sample at different aging times, and to construct a second mapping relationship based on the mechanical properties and aging time. Specifically, it includes: obtaining the mechanical properties of the aged test sample at different aging times, performing nonlinear fitting processing on the different aging times and the mechanical properties corresponding to the different aging times based on a preset second mapping relationship calculation formula, to obtain the second mapping relationship based on the mechanical properties and aging time. The calculation formula for the second mapping relationship is as follows:

[0190] p′=polyfit(t,P,n′);

[0191] Where p′ is the polynomial coefficient, t is the aging time, P is the mechanical property, and n′ is the polynomial order.

[0192] In one embodiment, the polymer thermo-oxidative aging lifetime assessment module 205 is used to assess the polymer thermo-oxidative aging lifetime based on the target index degradation volatile concentration, and obtain the polymer aging lifetime under multiple coupled aging conditions. Specifically, it includes: obtaining the first time when the index degradation volatile concentration reaches the target index degradation volatile concentration at different aging temperatures; substituting different aging temperatures and the first time corresponding to each aging temperature into the Arrhenius equation to determine the first ratio of the reaction activation energy to the gas constant and the logarithmic value of the pre-exponential factor; substituting the first ratio, the logarithmic value of the pre-exponential factor, and the multiple coupled aging conditions into a preset polymer thermo-oxidative aging lifetime calculation formula to obtain the polymer aging lifetime under the multiple coupled aging conditions; wherein, the polymer thermo-oxidative aging lifetime calculation formula is as follows:

[0193]

[0194] In the formula, t ′ f For polymer materials at aging temperature T ′ f The polymer aging life under the following conditions, T ′ f Here, A represents the aging temperature, E represents the pre-exponential factor, E represents the activation energy of the reaction, and R represents the gas constant.

[0195] The polymer lifetime assessment apparatus described above can implement the design method of the polymer lifetime assessment system in the above method embodiments. The options in the above method embodiments are also applicable to this embodiment, and will not be detailed here.

[0196] Figure 4 A schematic diagram of the structure of a terminal device. (For example...) Figure 4 As shown, the terminal device 4 in this embodiment includes: at least one processor 401 ( Figure 4 (Only one is shown) a processor, a memory 402, and a computer program 403 stored in the memory 402 and executable on at least one processor 401, wherein the processor 401 executes the computer program 403 to implement the steps in any of the above method embodiments.

[0197] Terminal device 4 can be a computing device such as a smartphone, laptop, tablet, or desktop computer. This terminal device may include, but is not limited to, processor 401 and memory 402. Those skilled in the art will understand that... Figure 4 This is merely an example of terminal device 4 and does not constitute a limitation on terminal device 4. It may include more or fewer components than shown in the figure, or combine certain components, or different components. For example, it may also include input / output devices, network access devices, etc.

[0198] The processor 401 may be a Central Processing Unit (CPU), or it may be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor.

[0199] In some embodiments, memory 402 may be an internal storage unit of terminal device 4, such as a hard disk or memory of terminal device 4. In other embodiments, memory 402 may be an external storage device of terminal device 4, such as a plug-in hard disk, smart media card (SMC), secure digital card (SD), flash card, etc., equipped on terminal device 4. Furthermore, memory 402 may include both internal storage units and external storage devices of terminal device 4. Memory 402 is used to store operating system, application programs, bootloader, data, and other programs, such as program code of computer programs. Memory 402 may also be used to temporarily store data that has been output or will be output.

[0200] In addition, embodiments of this application also provide a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps in any of the above method embodiments.

[0201] In the several embodiments provided in this application, it will be understood that each block in the flowchart or block diagram may represent a module, segment, or portion of code, which contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than those shown in the figures. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved.

[0202] If a function is implemented as a software module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a terminal device to execute all or part of the steps of the methods in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, a portable hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0203] In summary, the polymer life assessment method, apparatus, equipment, and storage medium provided in this application analyze and test the degradation volatiles of test samples during the aging process to obtain and acquire the concentration of index degradation volatiles at different aging times, thus constructing a first mapping relationship; perform mechanical property testing on the aged test samples, and construct a second mapping relationship based on the mechanical properties of the test samples at different aging times; based on the first and second mapping relationships, construct an equivalent relationship between mechanical properties and index degradation volatiles, calculate and assess the polymer thermo-oxidative aging life of index degradation volatiles based on the target index degradation volatile concentration equivalent to the mechanical property endpoint, and obtain the polymer aging life; compared with the prior art, the technical solution of this invention can transform the traditional mechanical property-based life assessment method into a non-destructive assessment method based on degradation volatiles by establishing a connection between macroscopic mechanical properties and aging degradation volatiles, thereby achieving efficient assessment of the life of polymer material molded parts.

[0204] The above description is only a preferred embodiment of this application. It should be noted that for those skilled in the art, several improvements and substitutions can be made without departing from the technical principles of this application, and these improvements and substitutions should also be considered within the scope of protection of this application.

Claims

1. A method for assessing the lifespan of a polymer, characterized in that, include: Based on the constructed multiple coupled aging conditions, the prepared test samples were aged, and based on the preset test plan, the degradation volatiles during the aging process were analyzed and tested to obtain the index degradation volatiles. Obtain the concentration of the index degradation volatiles at different aging times, and construct a first mapping relationship based on the concentration of index degradation volatiles and aging time; Mechanical properties of aged test samples are tested to obtain the mechanical properties of aged test samples at different aging times, and a second mapping relationship between the mechanical properties and aging time is constructed. Based on the first mapping relationship and the second mapping relationship, an equivalent relationship between mechanical properties and index degradation volatiles is constructed. Based on the equivalent relationship, the concentration of target index degradation volatiles equivalent to the mechanical performance endpoint is calculated. Using a preset polymer thermo-oxidative aging lifetime assessment algorithm, and based on the target index degradation volatile concentration, the polymer thermo-oxidative aging lifetime is assessed on the index degradation volatile, to obtain the polymer aging lifetime under the multiple coupled aging conditions. The prepared test samples are aged under multiple coupled aging conditions, and the degradation volatiles during the aging process are analyzed and tested according to a preset test plan to obtain the index degradation volatiles, specifically including: Multiple coupled aging conditions are constructed based on multiple condition factors and their respective ranges of variation; the multiple condition factors include temperature, oxygen concentration, and pressure. Based on the multiple coupled aging conditions, the thermo-oxidative aging environment of the polymer is simulated, and the prepared test samples are subjected to polymer aging treatment in the thermo-oxidative aging environment. The degradation volatiles of the test sample during the aging process are obtained, and the degradation volatiles are analyzed and tested based on a preset test plan to obtain degradation volatile information of the test sample after aging. The degradation volatile information includes multiple gaseous products and the degradation volatile concentrations corresponding to each of the multiple gaseous products. A correlation analysis was performed on the multiple gaseous products and the polymer aging process to identify the target gaseous products, which were then used as indicators for the degradation of volatile matter. The step of obtaining the concentration of the index degradation volatiles at different aging times and constructing a first mapping relationship between the index degradation volatiles concentration and aging time specifically includes: The concentrations of the volatile components of the index degradation at different aging times are obtained. Based on a preset first mapping relationship calculation formula, a nonlinear fitting process is performed on the different aging times and the concentrations of the volatile components of the index degradation at the different aging times to obtain a first mapping relationship between the concentration of the volatile components of the index degradation and the aging time. The calculation formula for the first mapping relationship is as follows: p = polyfit(t, C, n); Where p is the polynomial coefficient, t is the aging time, C is the concentration of volatile matter in the index degradation, and n is the polynomial order; The process of obtaining the mechanical properties of the aged test samples at different aging times and constructing a second mapping relationship between the mechanical properties and aging time specifically includes: The mechanical properties of the aged test samples at different aging times are obtained. Based on a preset second mapping relationship calculation formula, nonlinear fitting is performed on the different aging times and the mechanical properties corresponding to the different aging times to obtain a second mapping relationship between mechanical properties and aging time. The calculation formula for the second mapping relationship is as follows: p′=polyfit(t,P,n′); Where p′ is the polynomial coefficient, t is the aging time, P is the mechanical property, and n′ is the polynomial order; The process involves using a pre-defined polymer thermo-oxidative aging lifetime assessment algorithm and, based on the target index degradation volatile concentration, evaluating the polymer thermo-oxidative aging lifetime of the target index degradation volatile concentration to obtain the polymer aging lifetime under multiple coupled aging conditions. Specifically, this includes: The first time when the concentration of the index degradation volatiles corresponding to the index degradation volatiles at different aging temperatures reaches the target index degradation volatiles concentration is obtained. The different aging temperatures and the first time corresponding to each of the different aging temperatures are substituted into the Arrhenius formula to determine the first ratio of the reaction activation energy to the gas constant, as well as the logarithmic value of the pre-exponential factor. Substituting the first ratio, the logarithmic value of the pre-exponential factor, and the multiple coupled aging conditions into a preset polymer thermo-oxidative aging lifetime calculation formula, the polymer aging lifetime under the multiple coupled aging conditions is obtained; wherein, the polymer thermo-oxidative aging lifetime calculation formula is as follows: In the formula, t′ f For polymer materials at aging temperature T′ f The polymer aging life under the following conditions, T′ f Here, A represents the aging temperature, E represents the pre-exponential factor, E represents the activation energy of the reaction, and R represents the gas constant.

2. The polymer lifetime assessment method as described in claim 1, characterized in that, Based on a pre-set experimental plan, the degradation volatiles are analyzed and tested to obtain degradation volatile information of the test sample after aging, specifically including: The degradation volatiles are detected using a Fourier transform infrared spectrometer to obtain an infrared absorption spectrum. Characteristic peaks in the infrared absorption spectrum are then identified to determine the gaseous products in the degradation volatiles. Based on the linear standard curve of standard degradation volatiles, the intensity of the identified characteristic peaks is quantitatively analyzed to determine the concentration of degradation volatiles corresponding to the gaseous products; and / or, The degradation volatiles were detected by gas chromatography-mass spectrometry to obtain two-dimensional data, wherein the two-dimensional data consisted of time and mass-charge ratio. The two-dimensional data is compared with a standard gas chromatogram to identify the gaseous products in the degradation volatiles. Based on a gas chromatography-mass spectrometry standard curve, the signal intensity of the two-dimensional data is quantitatively analyzed to determine the concentration of the degradation volatiles corresponding to the gaseous products; and / or, The degradation volatiles are detected using an electrochemical sensor to obtain the potential changes generated by the degradation volatiles in the redox reaction, and the gaseous products in the degradation volatiles are determined based on the potential changes. The potential change is compared with the standard potential change to determine the concentration of degradation volatiles corresponding to the gaseous product.

3. The polymer lifetime assessment method as described in claim 1, characterized in that, Mechanical property tests were performed on the aged test samples, specifically including: Tensile tests were performed on the aged test samples until the aged test samples broke, and the maximum tensile stress was determined. The flexural strength of the aged test sample is tested until the aged test sample breaks or reaches the preset bending angle to determine the flexural strength. Impact tests are conducted on the aged test samples until the aged test samples break or reach the preset number of impacts to determine the impact strength.

4. A polymer life assessment device, characterized in that, include: The system includes a multi-factor coupling accelerated aging module, a first mapping relationship construction module, a second mapping relationship construction module, a target index degradation volatile concentration determination module, and a polymer thermo-oxidative aging life assessment module. The multi-factor coupled accelerated aging module is used to age the prepared test sample based on multiple coupled aging conditions, and to analyze and test the degradation volatiles during the aging process based on a preset test plan to obtain the index degradation volatiles. The first mapping relationship construction module is used to obtain the concentration of the index degradation volatiles corresponding to different aging times, and construct a first mapping relationship based on the concentration of index degradation volatiles and aging time; The second mapping relationship construction module is used to perform mechanical property testing on the aged test sample, obtain the mechanical properties of the aged test sample at different aging times, and construct a second mapping relationship based on the mechanical properties and aging time. The target index degradation volatile concentration determination module is used to construct an equivalent relationship between mechanical properties and index degradation volatiles based on the first mapping relationship and the second mapping relationship, and to calculate the target index degradation volatile concentration equivalent to the mechanical performance endpoint based on the equivalent relationship. The polymer thermo-oxidative aging lifetime assessment module is used to evaluate the polymer thermo-oxidative aging lifetime under multiple coupled aging conditions by using a preset polymer thermo-oxidative aging lifetime assessment algorithm and based on the target index degradation volatile concentration. The multi-factor coupled accelerated aging module is used to age the prepared test samples based on multiple constructed coupled aging conditions, and to analyze and test the degradation volatiles during the aging process based on a preset test plan to obtain the index degradation volatiles, specifically including: The multi-factor coupled accelerated aging module selects and constructs multiple coupled aging conditions based on multiple condition factors and the variation range of each condition factor; the multiple condition factors include temperature, oxygen concentration and pressure. Based on the multiple coupled aging conditions, the thermo-oxidative aging environment of the polymer is simulated, and the prepared test samples are subjected to polymer aging treatment in the thermo-oxidative aging environment. The degradation volatiles of the test sample during the aging process are obtained, and the degradation volatiles are analyzed and tested based on a preset test plan to obtain degradation volatile information of the test sample after aging. The degradation volatile information includes multiple gaseous products and the degradation volatile concentrations corresponding to each of the multiple gaseous products. A correlation analysis was performed on the multiple gaseous products and the polymer aging process to identify the target gaseous products, which were then used as indicators for the degradation of volatile matter. The first mapping relationship construction module is used to obtain the concentration of the index degradation volatiles at different aging times, and to construct a first mapping relationship based on the concentration of index degradation volatiles and aging time, specifically including: The first mapping relationship construction module obtains the concentration of the index degradation volatiles corresponding to different aging times, and performs nonlinear fitting processing on the different aging times and the concentration of the index degradation volatiles corresponding to the different aging times based on the preset first mapping relationship calculation formula to obtain the first mapping relationship based on the concentration of index degradation volatiles and aging time. The calculation formula for the first mapping relationship is as follows: p = polyfit(t, C, n); Where p is the polynomial coefficient, t is the aging time, C is the concentration of volatile matter in the index degradation, and n is the polynomial order; The second mapping relationship construction module is used to obtain the mechanical properties of the aged test samples at different aging times, and to construct a second mapping relationship based on the mechanical properties and aging time, specifically including: The second mapping relationship construction module obtains the mechanical properties of the aged test samples at different aging times. Based on the preset second mapping relationship calculation formula, it performs nonlinear fitting processing on the different aging times and the mechanical properties corresponding to the different aging times to obtain the second mapping relationship based on the mechanical properties and aging time. The calculation formula for the second mapping relationship is as follows: p′=polyfit(t,P,n′); Where p′ is the polynomial coefficient, t is the aging time, P is the mechanical property, and n′ is the polynomial order; The polymer thermo-oxidative aging lifetime assessment module is used to assess the polymer thermo-oxidative aging lifetime using a preset polymer thermo-oxidative aging lifetime assessment algorithm and based on the target index degradation volatile concentration, to obtain the polymer aging lifetime under the multiple coupled aging conditions, specifically including: The polymer thermo-oxidative aging life assessment module obtains the first time when the concentration of the index degradation volatiles corresponding to the index degradation volatiles at different aging temperatures reaches the target index degradation volatiles concentration. It then substitutes the different aging temperatures and the first time corresponding to each of the different aging temperatures into the Arrhenius formula to determine the first ratio of the reaction activation energy to the gas constant, as well as the logarithmic value of the pre-exponential factor. Substituting the first ratio, the logarithmic value of the pre-exponential factor, and the multiple coupled aging conditions into a preset polymer thermo-oxidative aging lifetime calculation formula, the polymer aging lifetime under the multiple coupled aging conditions is obtained; wherein, the polymer thermo-oxidative aging lifetime calculation formula is as follows: In the formula, t′ f For polymer materials at aging temperature T′ f The polymer aging life under the following conditions, T′ f Here, A represents the aging temperature, E represents the pre-exponential factor, E represents the activation energy of the reaction, and R represents the gas constant.

5. A terminal device, characterized in that, It includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor, when executing the computer program, implements the polymer lifetime assessment method as described in any one of claims 1 to 3.

6. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored computer program, wherein, when the computer program is executed, it controls the device on which the computer-readable storage medium is located to perform the polymer lifetime assessment method as described in any one of claims 1 to 3.

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