Polymer life evaluation method, device and equipment and storage medium

By constructing polymer aging conditions and analyzing degradation volatile components, combining mechanical properties testing, a polymer aging life evaluation method is established, which solves the problem of lack of systematic evaluation of the polymer aging process in the prior art, and achieves efficient and accurate evaluation of the polymer life.

CN119618968AActive Publication Date: 2025-03-14NAT POLYMER MATERIALS IND INNOVATION CENT CO LTD
View PDF 5 Cites 0 Cited by

Patent Information

Application Number
CN202411737418.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-29
Publication Date
2025-03-14
Estimated Expiration
2044-11-29

AI Technical Summary

Technical Problem

The prior art lacks systematic methods to evaluate changes in microscopic composition during polymer aging, especially establishing a link between macromechanical properties and aging degraded volatile components, resulting in inaccurate prediction of polymer service life.

Method used

By constructing multiple coupled aging conditions, the test samples are aged and the degraded volatile components are analyzed, the index degraded volatile components concentration is obtained, and the first mapping relationship with the aging time is constructed. 同时,对老化后的试验样品进行力学性能测试,构建力学性能与老化时间的第二映射关系,进而建立力学性能与降解挥发分的等效关系,计算目标指标降解挥发分浓度,进行聚合物热氧老化寿命评估。

Benefits of technology

It realizes efficient evaluation of the life of polymer materials, and replaces traditional destructive mechanical properties testing through non-destructive degradation volatile components analysis, improving the accuracy and efficiency of aging evaluation.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN119618968A_ABST
    Figure CN119618968A_ABST
Patent Text Reader

Abstract

The invention discloses a polymer life evaluation method, device and equipment and a storage medium, and the method comprises the following steps: analyzing and testing degraded volatile components of a test sample in an aging process to obtain and obtain index degraded volatile component concentrations of the index degraded volatile components at different aging times, and constructing a first mapping relation; performing a mechanical property test on the aged test sample, and constructing a second mapping relationship based on the mechanical properties of the test sample at different aging times; based on the first mapping relationship and the second mapping relationship, constructing an equivalent relationship between the mechanical property and the index degradation volatile component, calculating and based on a target index degradation volatile component concentration equivalent to a mechanical property end point, and performing polymer thermo-oxidative aging life evaluation on the index degradation volatile component to obtain the polymer aging life; compared with the prior art, the technical scheme provided by the invention can realize efficient evaluation of the service life of the polymer material by establishing a relation between macroscopic mechanical properties and aging degradation volatile components.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] The present application relates to the technical field of real-time detection technology for polymer aging and life evaluation, and in particular to a method, device, equipment and storage medium for evaluating the life of a polymer. Background Art

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

[0003] At present, 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: The appearance, mechanical properties, electrical properties and chemical changes of polymers during aging are evaluated using a variety of characterization test methods. Although the test of mechanical properties is the key to evaluating the service life of materials, this method requires regular removal of aging samples for destructive testing, and the test cycle is long and the sample demand is large.

[0004] Among the existing polymer aging test methods, the evaluation of mechanical properties is the focus of researchers, but most of these tests are based on direct measurement of aged samples. This measurement method is an intermittent and destructive performance test, and is highly dependent on the sample shape. Compared with mechanical property tests, the degradation volatiles during material aging can be continuously monitored, and the monitoring method is non-destructive to the material and has no dependence on the deformation of the material. However, there is currently a lack of systematic evaluation methods for the changes in microscopic components during polymer aging, especially to establish the connection between macroscopic mechanical properties and aging degradation volatiles, and to expand the basis for judging the aging endpoint from intermittent and destructive mechanical property tests to continuous non-destructive degradation volatile qualitative and quantitative analysis, which is of great significance for comprehensively evaluating the aging mechanism of polymers and predicting their service life. Summary of the invention

[0005] The technical problem to be solved by the present application is to provide a method, device, equipment and storage medium for evaluating the life of a polymer, so as to achieve efficient evaluation of the life of a polymer material by establishing a connection between macroscopic mechanical properties and aging and degradation volatiles.

[0006] In order to solve the above technical problems, the present application provides a method for evaluating the life span of a polymer, comprising:

[0007] 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;

[0008] Acquiring the concentration of the indicator degradation volatile matter corresponding to the indicator degradation volatile matter at different aging times, and constructing a first mapping relationship based on the concentration of the indicator degradation volatile matter and the aging time;

[0009] Performing a mechanical property test on the aged test sample to obtain the mechanical properties of the aged test sample at different aging times, and constructing a second mapping relationship between the mechanical properties and the aging time;

[0010] Based on the first mapping relationship and the second mapping relationship, an equivalent relationship between mechanical properties and index degradation volatiles is constructed, and based on the equivalent relationship, a target index degradation volatile concentration equivalent to the mechanical properties endpoint is calculated;

[0011] By using a preset polymer thermal oxidative aging life assessment algorithm and based on the target indicator degradation volatile concentration, the polymer thermal oxidative aging life assessment is performed on the indicator degradation volatiles to obtain the polymer aging life under the multiple coupled aging conditions.

[0012] In a possible implementation, based on the constructed multiple coupled aging conditions, the prepared test samples are subjected to aging treatment, and based on the preset test plan, the degradation volatiles during the aging treatment are analyzed and tested to obtain the index degradation volatiles, specifically including:

[0013] Select and construct multiple coupled aging conditions based on multiple condition factors and the corresponding variation range of each condition factor;

[0014] Simulating a thermal-oxidative aging environment of a polymer based on the multiple coupled aging conditions respectively, and performing polymer aging treatment on the prepared test samples in the thermal-oxidative aging environment;

[0015] Obtaining degradation volatiles of the test sample during the aging process, and analyzing and testing the degradation volatiles based on a preset test plan to obtain degradation volatile information of the test sample after aging, wherein the degradation volatile information includes a plurality of gas products and the concentrations of degradation volatiles corresponding to each of the plurality of gas products;

[0016] Perform correlation analysis on the multiple gas products and the polymer aging process to determine the target gas product, and use the target gas product as an indicator to degrade the volatile matter.

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

[0018] Detecting the degraded volatiles based on a Fourier transform infrared spectrometer to obtain an infrared absorption spectrum, identifying characteristic peaks of the infrared absorption spectrum, and determining gas products in the degraded volatiles;

[0019] Based on the linear standard curve of standard degradation volatiles, quantitatively analyze the intensity of the identified characteristic peaks to determine the concentration of the degradation volatiles corresponding to the gas product; and / or,

[0020] Performing gas chromatography-mass spectrometry detection on the degradation volatiles based on a gas chromatograph to obtain two-dimensional data, wherein the two-dimensional data consists of time and mass-charge ratio;

[0021] Comparing the two-dimensional data with a standard gas chromatogram to determine the gas products in the degradation volatiles, and quantitatively analyzing the signal intensity of the two-dimensional data based on a gas chromatography-mass spectrometry standard curve to determine the concentration of the degradation volatiles corresponding to the gas products; and / or,

[0022] Detecting the degraded volatile matter based on an electrochemical sensor to obtain a potential change generated by the degraded volatile matter in an oxidation-reduction reaction, and determining a gas product in the degraded volatile matter based on the potential change;

[0023] The potential change is compared with the standard potential change to determine the concentration of the degradation volatile matter corresponding to the gas product.

[0024] In a possible implementation, obtaining the concentration of the index degradation volatile matter corresponding to the index degradation volatile matter at different aging times, and constructing a first mapping relationship based on the concentration of the index degradation volatile matter and the aging time, specifically includes:

[0025] The concentration of the index degradation volatile component corresponding to the index degradation volatile component at different aging times is obtained, and nonlinear fitting processing is performed on the different aging times and the concentration of the index degradation volatile component corresponding to the different aging times based on a preset first mapping relationship calculation formula to obtain a first mapping relationship based on the concentration of the index degradation volatile component and the aging time, wherein the first mapping relationship calculation formula is as follows:

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

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

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

[0029] Performing a tensile test on the aged test sample until the aged test sample breaks, and determining the maximum tensile stress;

[0030] 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;

[0031] The impact test is performed on the aged test sample until the aged test sample breaks or reaches a preset number of impact times to determine the impact strength.

[0032] In a possible implementation, obtaining the mechanical properties of the aged test sample at different aging times and constructing a second mapping relationship based on the mechanical properties and the aging time specifically includes:

[0033] The mechanical properties of the aged test sample corresponding to different aging times are obtained, and nonlinear fitting processing is performed 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 a second mapping relationship based on mechanical properties and aging time, wherein the second mapping relationship calculation formula is as follows:

[0034] p′=polyfit(t,P,n′);

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

[0036] In a possible implementation, a preset polymer thermal oxidative aging life evaluation algorithm is used, and based on the target indicator degradation volatile concentration, the polymer thermal oxidative aging life evaluation is performed on the indicator degradation volatile, and the polymer aging life under the multiple coupled aging conditions is obtained, specifically including:

[0037] Obtaining the first time when the index degradation volatile matter concentration corresponding to the index degradation volatile matter at different aging temperatures reaches the target index degradation volatile matter concentration, respectively substituting different aging temperatures and the first time corresponding to each of the different aging temperatures into the Arrhenius formula to determine a first ratio of the reaction activation energy to the gas constant, and a logarithm value of the pre-exponential factor;

[0038] Substituting the first ratio, the logarithm of the pre-exponential factor, and the multiple coupled aging conditions into a preset polymer thermal oxidative aging life calculation formula, respectively, to obtain the polymer aging life under the multiple coupled aging conditions; wherein the polymer thermal oxidative aging life calculation formula is as follows:

[0039]

[0040] Where t′ f is the polymer material at the aging temperature T' f The polymer aging life under f is the aging temperature, A is the pre-exponential factor, E is the reaction activation energy, and R is the gas constant.

[0041] The present application also provides a polymer life assessment device, comprising: a multi-factor coupling accelerated aging module, a first mapping relationship building module, a second mapping relationship building module, a target indicator degradation volatile matter concentration determination module and a polymer thermal oxygen aging life assessment module;

[0042] The multi-factor coupled accelerated aging module is used to perform aging treatment on the prepared test samples based on the constructed multiple coupled aging conditions, and to analyze and test the degradation volatiles during the aging treatment based on the preset test plan to obtain the index degradation volatiles;

[0043] The first mapping relationship building module is used to obtain the index degradation volatile matter concentration corresponding to the index degradation volatile matter at different aging times, and to build a first mapping relationship based on the index degradation volatile matter concentration and the aging time;

[0044] The second mapping relationship building 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 build a second mapping relationship based on the mechanical properties and the aging time;

[0045] The target indicator degradation volatile matter concentration determination module is used to construct an equivalent relationship between mechanical properties and indicator degradation volatile matter based on the first mapping relationship and the second mapping relationship, and calculate the target indicator degradation volatile matter concentration equivalent to the mechanical property endpoint based on the equivalent relationship;

[0046] The polymer thermal oxygen aging life assessment module is used to use a preset polymer thermal oxygen aging life assessment algorithm and, based on the target indicator degradation volatile concentration, perform polymer thermal oxygen aging life assessment on the indicator degradation volatiles to obtain the polymer aging life under the multiple coupled aging conditions.

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

[0048] Select and construct multiple coupled aging conditions based on multiple condition factors and the corresponding variation range of each condition factor;

[0049] Simulating a thermal-oxidative aging environment of a polymer based on the multiple coupled aging conditions respectively, and performing polymer aging treatment on the prepared test samples in the thermal-oxidative aging environment;

[0050] Obtaining degradation volatiles of the test sample during the aging process, and analyzing and testing the degradation volatiles based on a preset test plan to obtain degradation volatile information of the test sample after aging, wherein the degradation volatile information includes a plurality of gas products and the concentrations of degradation volatiles corresponding to each of the plurality of gas products;

[0051] Perform correlation analysis on the multiple gas products and the polymer aging process to determine the target gas product, and use the target gas product as an indicator to degrade the volatile matter.

[0052] In a 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 the degradation volatile information of the test sample after aging, specifically including:

[0053] Detecting the degraded volatiles based on a Fourier transform infrared spectrometer to obtain an infrared absorption spectrum, identifying characteristic peaks of the infrared absorption spectrum, and determining gas products in the degraded volatiles;

[0054] Based on the linear standard curve of standard degradation volatiles, quantitatively analyze the intensity of the identified characteristic peaks to determine the concentration of the degradation volatiles corresponding to the gas product; and / or,

[0055] Performing gas chromatography-mass spectrometry detection on the degradation volatiles based on a gas chromatograph to obtain two-dimensional data, wherein the two-dimensional data consists of time and mass-charge ratio;

[0056] Comparing the two-dimensional data with a standard gas chromatogram to determine the gas products in the degradation volatiles, and quantitatively analyzing the signal intensity of the two-dimensional data based on a gas chromatography-mass spectrometry standard curve to determine the concentration of the degradation volatiles corresponding to the gas products; and / or,

[0057] Detecting the degraded volatile matter based on an electrochemical sensor to obtain a potential change generated by the degraded volatile matter in an oxidation-reduction reaction, and determining a gas product in the degraded volatile matter based on the potential change;

[0058] The potential change is compared with the standard potential change to determine the concentration of the degradation volatile matter corresponding to the gas product.

[0059] In a possible implementation, the first mapping relationship building module is used to obtain the index degradation volatile concentration corresponding to the index degradation volatile at different aging times, and to build a first mapping relationship based on the index degradation volatile concentration and the aging time, specifically including:

[0060] The concentration of the index degradation volatile component corresponding to the index degradation volatile component at different aging times is obtained, and nonlinear fitting processing is performed on the different aging times and the concentration of the index degradation volatile component corresponding to the different aging times based on a preset first mapping relationship calculation formula to obtain a first mapping relationship based on the concentration of the index degradation volatile component and the aging time, wherein the first mapping relationship calculation formula is as follows:

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

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

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

[0064] Performing a tensile test on the aged test sample until the aged test sample breaks, and determining the maximum tensile stress;

[0065] 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;

[0066] The impact test is performed on the aged test sample until the aged test sample breaks or reaches a preset number of impact times to determine the impact strength.

[0067] In a 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 construct a second mapping relationship based on the mechanical properties and the aging time, specifically including:

[0068] The mechanical properties of the aged test sample corresponding to different aging times are obtained, and nonlinear fitting processing is performed 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 a second mapping relationship based on mechanical properties and aging time, wherein the second mapping relationship calculation formula is as follows:

[0069] p′=polyfit(t,P,n′);

[0070] Among them, p ′ are polynomial coefficients, t is the aging time, P is the mechanical property, and n′ is the polynomial order.

[0071] In a possible implementation, the polymer thermal oxygen aging life assessment module is used to use a preset polymer thermal oxygen aging life assessment algorithm and, based on the target indicator degradation volatile concentration, perform polymer thermal oxygen aging life assessment on the indicator degradation volatile to obtain the polymer aging life under the multiple coupled aging conditions, specifically including:

[0072] Obtaining the first time when the index degradation volatile matter concentration corresponding to the index degradation volatile matter at different aging temperatures reaches the target index degradation volatile matter concentration, respectively substituting different aging temperatures and the first time corresponding to each of the different aging temperatures into the Arrhenius formula to determine a first ratio of the reaction activation energy to the gas constant, and a logarithm value of the pre-exponential factor;

[0073] Substituting the first ratio, the logarithm of the pre-exponential factor, and the multiple coupled aging conditions into a preset polymer thermal oxidative aging life calculation formula, respectively, to obtain the polymer aging life under the multiple coupled aging conditions; wherein the polymer thermal oxidative aging life calculation formula is as follows: Where t′ f is the polymer material at the aging temperature T' f The polymer aging life under f is the aging temperature, A is the pre-exponential factor, E is the reaction activation energy, and R is the gas constant.

[0074] The present 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 when the processor executes the computer program, the life assessment method of the polymer as described in any one of the above items is implemented.

[0075] The present application also provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is executed, the device where the computer-readable storage medium is located is controlled to execute the polymer life assessment method as described in any one of the above.

[0076] The embodiment of the present application provides a method, device, equipment and storage medium for evaluating the life of a polymer, which has the following beneficial effects compared with the prior art:

[0077] Based on the constructed multiple coupled aging conditions, the prepared test samples are subjected to aging treatment, and based on the preset test plan, the degraded volatiles in the aging treatment process are analyzed and tested to obtain the index degradation volatiles; the index degradation volatile concentrations corresponding to the index degradation volatiles at different aging times are obtained, and a first mapping relationship based on the index degradation volatile concentration and the aging time is constructed; the mechanical properties of the aged test samples are tested to obtain the mechanical properties of the aged test samples at different aging times, and a second mapping relationship based on the mechanical properties and the aging time is constructed; based on the first mapping relationship and the second mapping relationship, an equivalent relationship between the mechanical properties and the index degradation volatiles is constructed, and based on the equivalent relationship system, calculating the target indicator degradation volatile concentration equivalent to the mechanical property endpoint; using a preset polymer thermal oxygen aging life evaluation algorithm and based on the target indicator degradation volatile concentration, performing polymer thermal oxygen aging life evaluation on the indicator degradation volatile, and obtaining the polymer aging life under the multiple coupled aging conditions; compared with the prior art, the technical solution of the present invention can combine the degradation volatile analysis and the mechanical property test by constructing the first mapping relationship and the second mapping relationship, so as to more comprehensively evaluate the performance change of the polymer during the aging process; finally, by calculating the target indicator degradation volatile concentration equivalent to the mechanical property endpoint, the service life of the polymer can be more scientifically predicted, thereby improving the accuracy and efficiency of aging evaluation. BRIEF DESCRIPTION OF THE DRAWINGS

[0078] Figure 1 It is a schematic flow chart of an embodiment of a method for evaluating the life span of a polymer provided in the present application;

[0079] Figure 2 It is a structural schematic diagram of an embodiment of a polymer life assessment device provided by the present application;

[0080] Figure 3 It is a schematic diagram of the connection between a multi-factor coupled accelerated aging model, an electrical control module and a degradation volatile product test module according to an embodiment of the present application;

[0081] Figure 4 It is a structural schematic diagram of a terminal device provided by the present invention. DETAILED DESCRIPTION

[0082] The following will be combined with the drawings in this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the described embodiments are only part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0083] Example 1, see Figure 1 , Figure 1 : is a schematic flow chart of an embodiment of a method for evaluating the life of a polymer provided in the present application, such as Figure 1 As shown, the method includes steps 101 to 105, which are specifically as follows:

[0084] Step 101: Based on the constructed multiple coupled aging conditions, the prepared test samples are subjected to aging treatment, and based on the preset test plan, the degradation volatiles in the aging treatment process are analyzed and tested to obtain the index degradation volatiles.

[0085] In one embodiment, multiple coupling aging conditions are selected and constructed based on multiple condition factors and the variation range corresponding to each condition factor.

[0086] Specifically, a multi-factor coupled accelerated aging model is constructed, and multiple condition factors are selected using the multi-factor coupled accelerated aging model, and the variation range corresponding to each condition factor is determined, wherein the multiple condition factors include but are not limited to temperature, oxygen concentration and pressure.

[0087] Preferably, when the condition factor is temperature, the corresponding range of variation is 30°C-300°C; when the condition factor is oxygen concentration, the corresponding range of variation is 0%-100%; when the condition factor is pressure, the corresponding range of variation is 0MPa-10Mpa.

[0088] Specifically, by adjusting the level values ​​of different condition factors and their combinations, multiple different coupled aging conditions are constructed.

[0089] In one embodiment, a thermal oxidative aging environment of a polymer is simulated based on the multiple coupled aging conditions, and a polymer aging treatment is performed on the prepared test sample in the thermal oxidative aging environment.

[0090] Specifically, the test samples are prepared according to the type and application scenario of the polymer material to determine the aging characteristic indicators that need to be tested, such as mechanical properties, thermal stability, etc., and in accordance with the corresponding test and standard requirements.

[0091] Specifically, the multi-factor coupled accelerated aging model selects appropriate temperature, oxygen concentration and pressure to simulate the thermal oxygen aging environment of the polymer according to the multiple coupled aging conditions and in combination with the type and application scenario of the polymer material.

[0092] As an example, for the typical amorphous material polycarbonate (PC), the temperature variation range in the coupled aging conditions is from room temperature to 190°C (40°C above the glass transition temperature), the oxygen concentration variation range is 0%-100%, and the pressure variation range is 0MPa-10Mpa; for the typical crystalline plastic polyethylene terephthalate (PET), the temperature variation range in the coupled aging conditions is from room temperature to 220°C (30°C below the melting point), the oxygen concentration variation range is 0%-100%, and the pressure variation range is 0MPa-10Mpa.

[0093] As an example, for a typical amorphous material polycarbonate (PC), the aging conditions are selected as follows: temperature 160°C, oxygen concentration 20.9%, and pressure 0.75Mpa. Taking the Fourier transform infrared spectrometer to monitor the degradation volatile products as an example, the peak height value of the characteristic peak is recorded, and the tensile properties of the PC sample during the aging process are tested and recorded using a universal tensile testing machine. The specific sampling time points, corresponding tensile properties, and degradation volatile test results are detailed in Table 1.

[0094] Table 1 Sampling time points, corresponding tensile properties and degradation volatile test results

[0095] Aging time t / h Tensile performance 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]]>

[0096] According to the test results of degradation volatiles, CO2 with obvious concentration changes was selected as the index degradation volatile of PC. The standard curve of CO2 was made by infrared spectrometer, and the corresponding curve was: C / %=6x-0.3, where x is the corresponding absorbance value. According to the standard curve, the corresponding index degradation volatile concentration in the aging process was obtained.

[0097] According to the mechanical properties test results, a polynomial equation fitting of aging time and tensile property retention rate was constructed, and 1st, 2nd, 3rd and exponential fitting were performed respectively, and the corresponding fitting coefficients were 1st order: 0.96951; 2nd order: 0.97124; 3rd order: 0.99258; exponent: 0.95417. Therefore, the fitting order was determined to be 3rd order, and the first fitting equation was obtained as shown below:

[0098] P=8.806*10 -7 t 3 -7.606*10 -4 t 2 +0.022t+100.174

[0099] According to the test results of the index degradation volatile concentration, a polynomial equation fitting of the aging time and the index degradation volatile concentration was constructed, and the 1st, 2nd, 3rd and exponential fittings were performed respectively, and the corresponding fitting coefficients were 1st order: 0.97000; 2nd order: 0.97124; 3rd order: 0.96603; exponent: 0.9549. Therefore, the fitting order was determined to be 2nd order, and the second fitting equation was obtained as follows:

[0100] C=1.848*10 -6 t 2 +0.002t+0.283

[0101] According to the first fitting equation, the end of life (P = 50) corresponds to t = 364.29h. Substituting the t value into the second fitting equation, the concentration of the index degradation volatile matter corresponding to the end of life is obtained, C = 1.262%. It can be seen that for materials with PC as the main body or molded parts made based on PC, the aging life of the material can be inferred by monitoring the concentration of the index degradation volatile matter (PC is CO2) during the aging process of the material. The aging time when the concentration of the index degradation volatile matter is 1.262% is the end of the life of the experimental sample.

[0102] Specifically, since the higher the temperature, the greater the oxygen concentration and the environmental pressure, the faster the polymer material ages, a multi-factor coupled accelerated aging model is used to implement accelerated aging of the polymer.

[0103] Specifically, the multi-factor coupled accelerated aging model also includes a sample pool, an atmosphere controller, and a temperature controller.

[0104] Preferably, the sample pool is composed of a reaction kettle body, a kettle cover, a kettle 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.

[0105] Preferably, the temperature controller comprises a heater and a temperature measurer, and the aging temperature can be controlled by the temperature controller.

[0106] Preferably, the atmosphere controller includes an air supply pipeline and a valve, and different combinations of aging atmospheres and pressures can be achieved through the atmosphere controller.

[0107] Specifically, the test sample is placed in a sample cell, and the sample cell is sealed, and reaction gas of specified concentration and composition is introduced into the sample cell through an atmosphere controller. During the ventilation process, the pressure in the sample cell is monitored in real time by a pressure sensor. When the predetermined reaction pressure is reached, the ventilation is stopped, and a temperature controller is used to ensure that the sample cell is heated to a predetermined test temperature.

[0108] In one embodiment, the degradation volatiles of the test sample during the aging process are obtained, and based on a preset test plan, the degradation volatiles are analyzed and tested to obtain the degradation volatile information of the test sample after aging, wherein the degradation volatile information includes multiple gas products and the degradation volatile concentrations corresponding to each of the multiple gas products.

[0109] Specifically, an electrical control module and a degradation volatile product test module are constructed, such as Figure 3 As shown, Figure 3 The invention is a schematic diagram of the connection between the multi-factor coupled accelerated aging model, the electrical control module and the degradation volatile product test module. The electrical control module is connected to the sample pool through a gas pipeline. The electrical control module includes a flow sensor for detecting gas flow, a gas valve for controlling the gas flow rate, and a controller for quantitative and constant-speed gas delivery.

[0110] Specifically, the electrical control module is used to transmit the degradation volatiles of the test sample during the aging process to the degradation volatile product testing module; the degradation volatile product testing module is used to analyze and test the degradation volatiles based on a preset test plan.

[0111] Specifically, a test time point at which a degradation volatile test needs to be carried out is determined, and when it is detected that the test time point is reached, a certain flow rate and volume of degradation volatiles are delivered to a degradation volatile product test module through an electrical control module, and the degradation volatiles are analyzed and detected based on sensors or detection devices in the degradation volatile product test module, so that different sensors or detection devices in the degradation volatile product test module provide different degradation volatile information, wherein the degradation volatile information includes multiple gas products and the degradation volatile concentrations corresponding to each of the multiple gas products.

[0112] Preferably, the degradation volatile product testing module is composed of a single or multiple different sensors or detection devices connected in series or in parallel, including but not limited to a Fourier transform infrared spectrometer, a gas chromatograph and an 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 the volatile degradation products after polymer aging.

[0113] In one embodiment, the degradation volatiles are detected based on a Fourier transform infrared spectrometer to obtain an infrared absorption spectrum, and characteristic peaks are identified on the infrared absorption spectrum to determine the gas products in the degradation volatiles; based on a linear standard curve of standard degradation volatiles, the identified characteristic peak intensities are quantitatively analyzed to determine the concentration of the degradation volatiles corresponding to the gas products.

[0114] Specifically, the degradation volatiles are scanned based on a Fourier transform infrared spectrometer to record the absorption of infrared radiation within a specific wavelength range; and the collected data are converted into an infrared absorption spectrum.

[0115] Specifically, the acquired infrared absorption spectrum is preprocessed, including baseline correction, to eliminate background signals caused by instrument noise, sample inhomogeneity and other factors.

[0116] Specifically, by comparing with known standard spectra, characteristic peaks in the spectrum are identified and associated with specific chemical structures or functional groups, thereby determining the types of gas products in the degradation volatiles.

[0117] Specifically, a standard degradation volatile sample with a known concentration is used to measure its infrared absorption spectrum 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, and the curve is used for subsequent quantitative analysis.

[0118] Specifically, the intensity of the characteristic peak can be characterized by the peak area or peak height of the characteristic peak.

[0119] Specifically, the identified characteristic peak intensity is compared with the linear standard curve, and the degradation volatile concentration corresponding to the characteristic peak intensity is calculated according to the curve equation, based on which the degradation volatile concentration corresponding to different gas products in the degradation volatiles is determined.

[0120] In one embodiment, the degradation volatiles are detected by gas chromatography-mass spectrometry based on a gas chromatograph to obtain two-dimensional data, wherein the two-dimensional data consists of time and mass-to-charge ratio; the two-dimensional data are compared with a standard gas chromatogram to determine the gas products in the degradation volatiles, and 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 gas products.

[0121] Specifically, the degradation volatiles are injected into a gas chromatograph so that the degradation volatiles are separated in the chromatographic column according to the volatility of different components; the separated components enter a mass spectrometer and are detected according to the mass-to-charge ratio (m / z) to obtain a mass spectrum of each component.

[0122] Specifically, gas chromatography-mass spectrometry analysis obtains two-dimensional data, in which one dimension is time (chromatographic separation time) and the other dimension is mass-to-charge ratio (m / z); these two-dimensional data are presented in the form of chromatograms, with the horizontal axis representing time and the vertical axis representing signal intensity, and different peaks corresponding to different components.

[0123] Specifically, the chromatogram obtained by gas chromatography-mass spectrometry is compared with the chromatogram of a known standard degradation volatile component, and the types of gas products present in the degradation volatile component are determined by matching the retention time of the characteristic peaks with the mass spectrum.

[0124] Specifically, a standard degradation volatile component of known concentration is used for gas chromatography-mass spectrometry analysis, and the signal intensity of the characteristic peak of each standard degradation volatile component, such as peak area or peak height, is recorded. Based on the relationship between the signal intensity and the known concentration, a gas chromatography-mass spectrometry standard curve is established for subsequent quantitative analysis.

[0125] Specifically, the established gas chromatography-mass spectrometry standard curve is used to calculate the corresponding degradation volatile concentration according to the signal intensity of the characteristic peak in the chromatogram composed of the two-dimensional data.

[0126] In one embodiment, the degradation volatiles are detected based on an electrochemical sensor to obtain a potential change generated by the degradation volatiles in the redox reaction, and based on the potential change, the gas products in the degradation volatiles are determined; the potential change is compared with the standard potential change to determine the concentration of the degradation volatiles corresponding to the gas products.

[0127] Specifically, when the gas 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 current change or a voltage change.

[0128] Specifically, based on the characteristics of the potential change, the potential response associated with the specific gas product is identified; by comparing with the known electrochemical response data, the type of gas product present in the degraded volatile matter is determined.

[0129] Specifically, a series of standard gas samples with known concentrations are used to measure their potential changes on the electrochemical sensor; and a standard potential change curve is established based on the relationship between the potential change and the gas concentration.

[0130] Specifically, the potential change generated by the gas products in the degradation volatiles is compared with the standard potential change curve, and the corresponding concentration of the degradation volatiles is calculated according to the curve equation.

[0131] In one embodiment, correlation analysis is performed on the plurality of gas products and the polymer aging process to determine a target gas product, and the target gas product is used as an indicator to degrade volatile matter.

[0132] Specifically, the degradation volatile information corresponding to the degradation volatiles is collected at different aging time points or under different aging conditions using methods such as gas chromatography-mass spectrometry, Fourier transform infrared spectrometer, and electrochemical sensor.

[0133] Specifically, statistical analysis methods are used to analyze the gas product composition and concentration changes of degradation volatiles in different samples, focusing on gas products that significantly increase or decrease during the aging process, and their changing trends with the degree of aging; through correlation analysis, determine which gas product concentration changes are significantly correlated with the degree of aging of the polymer, such as, for example, calculating the correlation coefficients of different gas product concentrations with aging time or aging degree, and finding gas products with higher correlation.

[0134] Specifically, according to the results of the correlation analysis, gas products significantly correlated with the aging process are selected as indicator degradation volatiles; preferably, the difficulty of detecting the gas products and the sensitivity of the response to the aging process are also considered, and gas products that are easy to detect and can sensitively reflect the aging process are selected.

[0135] Example description: After analysis, it was found that in samples with different aging degrees, the concentration of formaldehyde degradation volatiles is significantly correlated with the degree of polymer aging. In addition, formaldehyde is easy to detect through the test module's gas chromatography-mass spectrometry, Fourier transform infrared spectrometer, electrochemical sensor, etc., and the change in its degradation volatile concentration sensitively reflects the aging process of the polymer. Therefore, formaldehyde can be selected as an indicator of degradation volatiles for monitoring polymer aging.

[0136] Step 102: obtaining the concentration of the index degradation volatile matter corresponding to the index degradation volatile matter at different aging times, and constructing a first mapping relationship between the concentration of the index degradation volatile matter and the aging time.

[0137] In one embodiment, the concentration of the indicator degradation volatile component corresponding to the indicator degradation volatile component at different aging times is obtained, and nonlinear fitting processing is performed on the different aging times and the concentration of the indicator degradation volatile component corresponding to the different aging times based on a preset first mapping relationship calculation formula to obtain a first mapping relationship based on the concentration of the indicator degradation volatile component and the aging time.

[0138] Specifically, based on the obtained index degradation volatile concentrations corresponding to different aging times, a plurality of value pairs are generated, wherein each value pair includes an aging time and its corresponding index degradation volatile concentration.

[0139] Specifically, for multiple value pairs, a nonlinear fitting method, such as polynomial fitting, is used to establish the relationship between the aging time and the concentration of microscopic degradation volatiles.

[0140] Specifically, the first mapping relationship calculation formula is as follows:

[0141] p = polyfit(t,C,n);

[0142] Among them, p is the polynomial coefficient, t is the aging time, C is the concentration of the index degradation volatile matter, and n is the polynomial order.

[0143] Specifically, the first mapping relationship calculation formula is a polynomial expression formula of unknown order. When t and C are determined, other parameters and corresponding formulas can be obtained by polynomial fitting and selecting an equation with a better fitting coefficient.

[0144] Specifically, according to the experimental data, the origin software can be used to obtain a point-line graph of the ordinate (indicator degradation volatile matter concentration)-abscissa (aging time), and then the polynomial coefficients of the curve are calculated, and the fitting equation with better fitting coefficients is selected to obtain the corresponding p and n.

[0145] Step 103: Perform a mechanical property test on the aged test sample to obtain the mechanical properties of the aged test sample at different aging times, and construct a second mapping relationship between the mechanical properties and the aging time.

[0146] In one embodiment, when the mechanical properties of the aged test sample are tested, a tensile test is performed on the aged test sample until the aged test sample breaks, thereby determining the maximum tensile stress; a bending strength test is performed on the aged test sample until the aged test sample breaks or reaches a preset bending angle, thereby determining the bending strength; an impact test is performed on the aged test sample until the aged test sample breaks or reaches a preset number of impacts, thereby determining the impact strength.

[0147] Specifically, during the accelerated aging process, according to the set experimental plan, the lid of the reactor is opened at the aging time point, and the test samples aged for a certain time are taken out from the sample rack, and the test samples are placed in a constant temperature and humidity chamber and adjusted to meet the test standards, such as the environmental conditions required by UL746A.

[0148] Specifically, the test sample is mounted on a tensile testing machine, and the tensile force is gradually increased according to a 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.

[0149] Specifically, the test sample is mounted on a bending test machine, and the bending force is gradually increased until the test sample breaks or reaches a predetermined bending angle, and the bending strength is recorded as the bending strength that the test sample can withstand during the bending process.

[0150] Specifically, the test sample is installed on an impact testing machine, an impact test is performed, and the performance of the sample during the impact process is recorded; wherein the impact test may include tensile impact, cantilever beam impact, and simply supported beam impact, etc.

[0151] In one embodiment, the mechanical properties of the aged test sample at different aging times are obtained, and nonlinear fitting processing is performed 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 a second mapping relationship based on mechanical properties and aging time.

[0152] Specifically, based on the obtained mechanical properties corresponding to different aging times, a plurality of value pairs are generated, wherein each value pair includes an aging time and its corresponding mechanical property.

[0153] Specifically, for multiple value pairs, a nonlinear fitting method, such as polynomial fitting, is used to establish the relationship between the aging time and the macroscopic mechanical properties.

[0154] Specifically, a fitting curve is generated for each mechanical property. When actually predicting the material life, one of the mechanical properties will be selected for life prediction, so there is no need to fit each mechanical property test result.

[0155] Specifically, the second mapping relationship calculation formula is as follows:

[0156] p ′ =polyfit(t,P,n′);

[0157] Among them, p′ is the polynomial coefficient, t is the aging time, P is the mechanical property, and n′ is the polynomial order.

[0158] Step 104: constructing an equivalent relationship between mechanical properties and index degradation volatiles based on the first mapping relationship and the second mapping relationship, and calculating a target index degradation volatile concentration equivalent to the mechanical properties endpoint based on the equivalent relationship.

[0159] In one embodiment, based on the first mapping relationship and the second mapping relationship, the corresponding mechanical property values ​​and the concentration of index degradation volatile components under any same aging time can be obtained; accordingly, an equivalent relationship between macroscopic mechanical properties and microscopic volatile degradation products that change with aging time can be established.

[0160] In one embodiment, according to the standard UL746B, when the mechanical properties of the polymer material decrease to 50% of the initial value, it is considered that the mechanical properties endpoint P of the polymer material is reached. i Based on the equivalent relationship between mechanical properties and degradation volatile components, the mechanical properties endpoint P can be calculated. iEquivalent indicator degradation volatile matter concentration C i , that is, the target indicator is the concentration of volatile matter degradation.

[0161] Step 105: using a preset polymer thermal oxygen aging life assessment algorithm and based on the target indicator degradation volatile concentration, performing polymer thermal oxygen aging life assessment on the indicator degradation volatiles to obtain the polymer aging life under the multiple coupled aging conditions.

[0162] In one embodiment, the target degradation volatile concentration is the basis for evaluating the polymer aging failure, that is, when the degradation volatile concentration reaches the target degradation volatile concentration C i When the value is reached, the polymer material is considered to have reached the failure point.

[0163] In one embodiment, the first time when the index degradation volatile matter concentration corresponding to the index degradation volatile matter at different aging temperatures reaches the target index degradation volatile matter concentration is obtained, and the different aging temperatures and the first times corresponding to the different aging temperatures are respectively substituted into the Arrhenius formula to determine the first ratio of the reaction activation energy to the gas constant and the logarithm of the pre-exponential factor.

[0164] Specifically, the Arrhenius formula is as follows:

[0165]

[0166] In the formula, k(t i ′) represents the aging rate, T i ′ is the i-th preset aging temperature, t i ′ is T i The degradation volatile matter concentration reaches the target degradation volatile matter concentration C i value, A is the pre-exponential factor, E is the activation energy of the reaction, and R is the gas constant.

[0167] Specifically, taking the natural logarithm of the Arrhenius formula, we obtain Substitute different aging temperatures and the first time corresponding to each of the different aging temperatures into the Arrhenius formula obtained after taking the natural logarithm to obtain multiple sets of data And the linear regression is performed on the multiple sets of data, and the slope is The intercept is lnA, the slope is taken as the first ratio of the reaction activation energy to the gas constant, and the intercept is taken as the logarithm of the pre-exponential factor.

[0168] In one embodiment, the first ratio, the logarithm of the pre-exponential factor, and the multiple coupled aging conditions are respectively substituted into a preset polymer thermal oxidative aging life calculation formula to obtain the polymer aging life under the multiple coupled aging conditions.

[0169] Specifically, the calculation formula for the thermal oxidation aging life of the polymer is as follows:

[0170]

[0171] Where t′ f is the polymer material at the aging temperature T' f The polymer aging life under f is the aging temperature, A is the pre-exponential factor, E is the reaction activation energy, and R is the gas constant.

[0172] Based on the polymer thermal oxidative aging life calculation formula, the thermal oxidative aging life calculation of the model polymer material is realized. For the parts formed based on the model polymer, the thermal oxidative aging life of the molded parts can be determined by monitoring the changes in the concentration of degradation volatile components of the molded parts during the aging process.

[0173] In one embodiment, during the polymer aging process, the electrical control module can be used to deliver a certain volume of degradation volatiles to the detection module in real time, and the degradation volatile product detection module can further continuously evaluate the index degradation volatiles online. When the concentration of the degradation volatiles reaches the index degradation volatile concentration C i When , it is considered that the polymer material has reached the failure point, and the corresponding time is the aging life of the polymer under the aging condition.

[0174] Preferably, for materials of the same type or with similar properties to the polymer, the above-mentioned polymer life assessment method can be used to perform aging life assessment processing.

[0175] Example 2, see Figure 2 , Figure 2 is a schematic structural diagram of an embodiment of a polymer life assessment device provided by the present application, such as Figure 2 As shown, the device includes a multi-factor coupling accelerated aging module 201, a first mapping relationship building module 202, a second mapping relationship building module 203, a target indicator degradation volatile matter concentration determination module 204 and a polymer thermal oxidation aging life assessment module 205, which are specifically as follows:

[0176] The multi-factor coupled accelerated aging module 201 is used to perform aging treatment on the prepared test samples based on the constructed multiple coupled aging conditions, and to analyze and test the degradation volatiles during the aging treatment based on a preset test plan to obtain index degradation volatiles.

[0177] The first mapping relationship building module 202 is used to obtain the index degradation volatile component concentrations corresponding to the index degradation volatile component at different aging times, and to build a first mapping relationship based on the index degradation volatile component concentration and the aging time.

[0178] The second mapping relationship building module 203 is used to perform mechanical property tests on the aged test samples, obtain mechanical properties of the aged test samples at different aging times, and build a second mapping relationship based on the mechanical properties and aging time.

[0179] The target indicator degradation volatile matter concentration determination module 204 is used to construct an equivalent relationship between mechanical properties and indicator degradation volatile matter based on the first mapping relationship and the second mapping relationship, and calculate the target indicator degradation volatile matter concentration equivalent to the mechanical property endpoint based on the equivalent relationship.

[0180] The polymer thermal oxidative aging life assessment module 205 is used to use a preset polymer thermal oxidative aging life assessment algorithm and, based on the target indicator degradation volatile concentration, perform polymer thermal oxidative aging life assessment on the indicator degradation volatiles to obtain the polymer aging life under the multiple coupled aging conditions.

[0181] In one embodiment, the multi-factor coupled accelerated aging module 201 is used to perform aging treatment on the prepared test sample based on the constructed multiple coupled aging conditions, and analyze and test the degradation volatiles in the aging process based on a preset test plan to obtain the index degradation volatiles, specifically including: selecting and constructing multiple coupled aging conditions based on multiple condition factors and the corresponding variation range of each condition factor; simulating the thermal oxygen aging environment of the polymer based on the multiple coupled aging conditions, and performing polymer aging treatment on the prepared test sample in the thermal oxygen aging environment; obtaining the degradation volatiles of the test sample during the aging process, and analyzing and testing the degradation volatiles based on a preset test plan to obtain the degradation volatiles information of the test sample after aging, wherein the degradation volatiles information includes multiple gas products and the degradation volatiles concentrations corresponding to each of the multiple gas products; performing correlation analysis on the multiple gas products and the polymer aging process to determine the target gas product, and taking the target gas product as the index degradation volatile.

[0182] 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 the degradation volatile information of the test sample after aging, specifically including: detecting the degradation volatiles based on a Fourier transform infrared spectrometer to obtain an infrared absorption spectrum, identifying characteristic peaks on the infrared absorption spectrum, and determining the gas products in the degradation volatiles; based on a linear standard curve of standard degradation volatiles, quantitatively analyzing the intensity of the identified characteristic peaks to determine the concentration of the degradation volatiles corresponding to the gas products; and / or, performing gas chromatography-mass spectrometry detection on the degradation volatiles based on a gas chromatograph to obtain Two-dimensional data, wherein the two-dimensional data consists of time and mass-to-charge ratio; comparing the two-dimensional data with a standard gas chromatogram to determine the gas products in the degraded volatiles, and quantitatively analyzing the signal intensity of the two-dimensional data based on a gas chromatography-mass spectrometry standard curve to determine the concentration of the degraded volatiles corresponding to the gas products; and / or detecting the degraded volatiles based on an electrochemical sensor to obtain the potential change generated by the degraded volatiles in the redox reaction, and determining the gas products in the degraded volatiles based on the potential change; comparing the potential change with the standard potential change to determine the concentration of the degraded volatiles corresponding to the gas products.

[0183] In one embodiment, the first mapping relationship construction module 202 is used to obtain the index degradation volatile concentration corresponding to the index degradation volatile at different aging times, and to construct a first mapping relationship based on the index degradation volatile concentration and the aging time, specifically including: obtaining the index degradation volatile concentration corresponding to the index degradation volatile at different aging times, performing nonlinear fitting processing on the different aging times and the index degradation volatile concentration corresponding to the different aging times based on a preset first mapping relationship calculation formula, and obtaining a first mapping relationship based on the index degradation volatile concentration and the aging time, wherein the first nonlinear relationship calculation formula is as follows:

[0184] p = polyfit(t,C,n);

[0185] Among them, p is the polynomial coefficient, t is the aging time, C is the concentration of the index degradation volatile matter, and n is the polynomial order.

[0186] In one embodiment, the second mapping relationship construction module 203 is used to perform mechanical property tests on the aged test samples, specifically including: performing a tensile test on the aged test samples until the aged test samples break, and determining the maximum tensile stress; performing a bending strength test on the aged test samples until the aged test samples break or reach a preset bending angle, and determining the bending strength; performing an impact test on the aged test samples until the aged test samples break or reach a preset number of impacts, and determining the impact strength.

[0187] 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 the aging time, specifically including: 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 a second mapping relationship based on the mechanical properties and the aging time, wherein the second mapping relationship calculation formula is as follows:

[0188] p′=polyfit(t,P,n′);

[0189] Among them, p′ is the polynomial coefficient, t is the aging time, P is the mechanical property, and n′ is the polynomial order.

[0190] In one embodiment, the polymer thermal oxidation aging life assessment module 205 is used to perform a polymer thermal oxidation aging life assessment on the index degradation volatiles based on the target index degradation volatile concentration to obtain the polymer aging life under the multiple coupled aging conditions, specifically including: obtaining the first time when the index degradation volatile concentration corresponding to the index degradation volatiles reaches the target index degradation volatile concentration at different aging temperatures, and respectively substituting different aging temperatures and the first times corresponding to the different aging temperatures into the Arrhenius formula to determine the first ratio of reaction activation energy to gas constant and the logarithm of the pre-exponential factor; respectively substituting the first ratio, the logarithm of the pre-exponential factor, and the multiple coupled aging conditions into a preset polymer thermal oxidation aging life calculation formula to obtain the polymer aging life under the multiple coupled aging conditions; wherein the polymer thermal oxidation aging life calculation formula is as follows:

[0191]

[0192] Where t′ f is the polymer material at the aging temperature T' f The polymer aging life under fis the aging temperature, A is the pre-exponential factor, E is the reaction activation energy, and R is the gas constant.

[0193] The polymer life assessment device can implement the design method of the polymer life assessment system of the method embodiment. The options in the method embodiment are also applicable to this embodiment and will not be described in detail here.

[0194] Figure 4 A schematic diagram of the structure of a terminal device. Figure 4 As shown, the terminal device 4 of this embodiment includes: at least one processor 401 ( Figure 4 Only one is shown in the figure) a processor, a memory 402, and a computer program 403 stored in the memory 402 and executable on at least one processor 401, and when the processor 401 executes the computer program 403, the steps in any of the above method embodiments are implemented.

[0195] The terminal device 4 may be a computing device such as a smart phone, a laptop, a tablet computer, and a desktop computer. The terminal device may include but is not limited to a processor 401 and a memory 402. Those skilled in the art will appreciate that Figure 4 It is only an example of the terminal device 4 and does not constitute a limitation on the terminal device 4. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, it may also include input and output devices, network access devices, etc.

[0196] The processor 401 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0197] In some embodiments, the memory 402 may be an internal storage unit of the terminal device 4, such as a hard disk or memory of the terminal device 4. In other embodiments, the memory 402 may also be an external storage device of the terminal device 4, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the terminal device 4. Further, the memory 402 may also include both an internal storage unit and an external storage device of the terminal device 4. The memory 402 is used to store an operating system, an application program, a boot loader (BootLoader), data, and other programs, such as program codes of computer programs. The memory 402 may also be used to temporarily store data that has been output or is to be output.

[0198] In addition, an embodiment of the present application further provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the steps in any of the above method embodiments are implemented.

[0199] In several embodiments provided in the present application, it is understood that each box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and a module, a program segment or a part of a code includes one or more executable instructions for realizing a specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from that marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved.

[0200] If the function is implemented in the form of a software function 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 the present application, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a terminal device to execute all or part of the steps of each embodiment method of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program code.

[0201] In summary, the present application provides a method, device, equipment and storage medium for evaluating the life of a polymer. The method analyzes and tests the degradation volatiles of the test sample during the aging process to obtain and acquire the concentration of the index degradation volatiles at different aging times, and construct a first mapping relationship; the aged test sample is subjected to a mechanical property test, and a second mapping relationship is constructed based on the mechanical properties of the test sample at different aging times; based on the first mapping relationship and the second mapping relationship, an equivalent relationship between the mechanical property and the index degradation volatiles is constructed, and the polymer thermal oxidation aging life of the index degradation volatiles is calculated and evaluated based on the target index degradation volatile concentration equivalent to the mechanical property endpoint, to obtain the polymer aging life; compared with the prior art, the technical solution of the present invention can convert the traditional life evaluation method based on mechanical properties into a non-destructive evaluation method based on degradation volatiles by establishing a connection between macroscopic mechanical properties and aging degradation volatiles, thereby realizing efficient evaluation of the life of polymer material molded parts.

[0202] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and substitutions can be made without departing from the technical principles of the present application. These improvements and substitutions should also be regarded as the scope of protection of the present application.

Claims

1. A method for evaluating the life of a polymer, characterized in that: include: 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; Acquiring the concentration of the indicator degradation volatile matter corresponding to the indicator degradation volatile matter at different aging times, and constructing a first mapping relationship based on the concentration of the indicator degradation volatile matter and the aging time; Performing a mechanical property test on the aged test sample to obtain the mechanical properties of the aged test sample at different aging times, and constructing a second mapping relationship between the mechanical properties and the aging time; Based on the first mapping relationship and the second mapping relationship, an equivalent relationship between mechanical properties and index degradation volatiles is constructed, and based on the equivalent relationship, a target index degradation volatile concentration equivalent to the mechanical properties endpoint is calculated; By using a preset polymer thermal oxidative aging life assessment algorithm and based on the target indicator degradation volatile concentration, the polymer thermal oxidative aging life assessment is performed on the indicator degradation volatiles to obtain the polymer aging life under the multiple coupled aging conditions.

2. A method for evaluating the life of a polymer according to claim 1, characterized in that: 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, including: Select and construct multiple coupled aging conditions based on multiple condition factors and the corresponding variation range of each condition factor; Simulating a thermal-oxidative aging environment of a polymer based on the multiple coupled aging conditions respectively, and performing polymer aging treatment on the prepared test samples in the thermal-oxidative aging environment; Obtaining degradation volatiles of the test sample during the aging process, and analyzing and testing the degradation volatiles based on a preset test plan to obtain degradation volatile information of the test sample after aging, wherein the degradation volatile information includes a plurality of gas products and the concentrations of degradation volatiles corresponding to each of the plurality of gas products; Perform correlation analysis on the multiple gas products and the polymer aging process to determine the target gas product, and use the target gas product as an indicator to degrade the volatile matter.

3. A method for evaluating the life of a polymer as claimed in claim 2, characterized in that: Based on the preset test plan, the degradation volatiles are analyzed and tested to obtain the degradation volatiles information of the test sample after aging, specifically including: Detecting the degraded volatiles based on a Fourier transform infrared spectrometer to obtain an infrared absorption spectrum, identifying characteristic peaks of the infrared absorption spectrum, and determining gas products in the degraded volatiles; Based on the linear standard curve of standard degradation volatiles, quantitatively analyze the intensity of the identified characteristic peaks to determine the concentration of the degradation volatiles corresponding to the gas product; and / or, Performing gas chromatography-mass spectrometry detection on the degradation volatiles based on a gas chromatograph to obtain two-dimensional data, wherein the two-dimensional data consists of time and mass-charge ratio; Comparing the two-dimensional data with a standard gas chromatogram to determine the gas products in the degradation volatiles, and quantitatively analyzing the signal intensity of the two-dimensional data based on a gas chromatography-mass spectrometry standard curve to determine the concentration of the degradation volatiles corresponding to the gas products; and / or, Detecting the degraded volatile matter based on an electrochemical sensor to obtain a potential change generated by the degraded volatile matter in an oxidation-reduction reaction, and determining a gas product in the degraded volatile matter based on the potential change; The potential change is compared with the standard potential change to determine the concentration of the degradation volatile matter corresponding to the gas product.

4. A method for evaluating the life of a polymer according to claim 1, characterized in that: Acquiring the concentration of the index degradation volatile matter corresponding to the index degradation volatile matter at different aging times, and constructing a first mapping relationship between the index degradation volatile matter concentration and the aging time, specifically including: The concentration of the index degradation volatile component corresponding to the index degradation volatile component at different aging times is obtained, and nonlinear fitting processing is performed on the different aging times and the concentration of the index degradation volatile component corresponding to the different aging times based on a preset first mapping relationship calculation formula to obtain a first mapping relationship based on the concentration of the index degradation volatile component and the aging time, wherein the first mapping relationship calculation formula is as follows: p = polyfit(t,C,n); Among them, p is the polynomial coefficient, t is the aging time, C is the concentration of the index degradation volatile matter, and n is the polynomial order.

5. A method for evaluating the life of a polymer according to claim 1, characterized in that: The mechanical properties of the aged test samples are tested, including: Performing a tensile test on the aged test sample until the aged test sample breaks, and determining 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; The impact test is performed on the aged test sample until the aged test sample breaks or reaches a preset number of impact times to determine the impact strength.

6. A method for evaluating the life of a polymer according to claim 1, characterized in that: Obtaining mechanical properties of the aged test sample at different aging times, and constructing a second mapping relationship based on the mechanical properties and the aging time, specifically including: The mechanical properties of the aged test sample corresponding to different aging times are obtained, and nonlinear fitting processing is performed 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 a second mapping relationship based on mechanical properties and aging time, wherein the second mapping relationship calculation formula is as follows: p′=polyfit(t,P,n′); Among them, p ′ is the polynomial coefficient, t is the aging time, P is the mechanical property, n ′ is the polynomial order.

7. A method for evaluating the life of a polymer according to claim 1, characterized in that: Using a preset polymer thermal oxygen aging life assessment algorithm and based on the target indicator degradation volatile concentration, the polymer thermal oxygen aging life assessment is performed on the indicator degradation volatiles to obtain the polymer aging life under the multiple coupled aging conditions, specifically including: Obtaining the first time when the index degradation volatile matter concentration corresponding to the index degradation volatile matter at different aging temperatures reaches the target index degradation volatile matter concentration, and respectively substituting different aging temperatures and the first time corresponding to each of the different aging temperatures into the Arrhenius formula to determine a first ratio of the reaction activation energy to the gas constant, and a logarithm value of the pre-exponential factor; Substituting the first ratio, the logarithm of the pre-exponential factor, and the multiple coupled aging conditions into a preset polymer thermal oxidative aging life calculation formula, respectively, to obtain the polymer aging life under the multiple coupled aging conditions; wherein the polymer thermal oxidative aging life calculation formula is as follows: In the formula, t ′ f is the polymer material at the aging temperature T ′ f The polymer aging life under ′ f is the aging temperature, A is the pre-exponential factor, E is the reaction activation energy, and R is the gas constant.

8. A polymer life evaluation device, characterized in that: include: Multi-factor coupling accelerated aging module, first mapping relationship building module, second mapping relationship building module, target indicator degradation volatile matter concentration determination module and polymer thermal oxidation aging life assessment module; The multi-factor coupled accelerated aging module is used to perform aging treatment on the prepared test samples based on the constructed multiple coupled aging conditions, and to analyze and test the degradation volatiles during the aging treatment based on the preset test plan to obtain the index degradation volatiles; The first mapping relationship building module is used to obtain the index degradation volatile matter concentration corresponding to the index degradation volatile matter at different aging times, and to build a first mapping relationship based on the index degradation volatile matter concentration and the aging time; The second mapping relationship building 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 build a second mapping relationship based on the mechanical properties and the aging time; The target indicator degradation volatile matter concentration determination module is used to construct an equivalent relationship between mechanical properties and indicator degradation volatile matter based on the first mapping relationship and the second mapping relationship, and calculate the target indicator degradation volatile matter concentration equivalent to the mechanical property endpoint based on the equivalent relationship; The polymer thermal oxygen aging life assessment module is used to use a preset polymer thermal oxygen aging life assessment algorithm and, based on the target indicator degradation volatile concentration, perform polymer thermal oxygen aging life assessment on the indicator degradation volatiles to obtain the polymer aging life under the multiple coupled aging conditions.

9. A terminal device, characterized in that: The method comprises a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor implements the lifespan assessment method of a polymer according to any one of claims 1 to 7 when executing the computer program.

10. 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, the device where the computer-readable storage medium is located is controlled to execute the polymer life assessment method according to any one of claims 1 to 7.

Citation Information

Patent Citations

  • Polycarbonate testing method

    CN109298085A

  • Traffic cable aging life evaluation system

    CN112964951A

  • Oven and system and method for automatically measuring thermo-oxidative aging life of polymer material

    CN114062232A

  • Method for online testing thermal aging of polymer and paper based on gas chromatography-mass spectrometry

    CN115856121A

  • Adhesive aging life evaluation method, device and equipment and storage medium

    CN116558986A