Material life determination method and device, computer device, and storage medium

Abstract

The application relates to a material life determination method and device, computer equipment, a storage medium and a computer program product. The method is applied to an electromagnetic shielding conductive polymer material, comprising the following steps: constructing multiple groups of test parameters based on a first number of environmental parameters and a second number of frequency subranges; obtaining test results obtained by respectively performing aging tests on a target material under each group of test parameters, wherein the test result obtained by each aging test comprises characteristic values of multiple key characteristics of the target material; for each key characteristic, determining a target characteristic value corresponding to the corresponding key characteristic according to the characteristic values of the corresponding key characteristics obtained by aging tests corresponding to the same environmental parameter; and for each environmental parameter, determining the material life of the target material under the corresponding environmental parameter based on the time period during which each target characteristic value reaches a critical value. The method can be used for life prediction of an electromagnetic shielding conductive polymer material in an actual use environment.

Description

Technical Field

[0001] This application relates to the field of electromagnetic shielding materials technology, and in particular to a method, apparatus, computer equipment, storage medium, and computer program product for determining material lifetime. Background Technology

[0002] With the increasing demands of high-frequency and high-speed 5G communication, the upgrading of hardware components, and the exponential growth in the number of connected devices and antennas, electromagnetic interference between devices and within devices themselves is ubiquitous, and the harm caused by electromagnetic interference and radiation to electronic devices is becoming increasingly serious. Therefore, 5G communication products require high signal anti-interference capabilities, necessitating a large number of electromagnetic shielding devices. Electromagnetic shielding materials include metallic materials, inorganic non-metallic materials, polymer materials, and composite materials. Among these, conductive polymer materials are widely used due to their lightweight and ease of molding.

[0003] Conductive polymer materials are subjected to various environmental stresses during use, such as temperature, humidity, light, and ultraviolet radiation, which shorten their service life. Currently, traditional methods for assessing the lifespan of conductive polymer materials mainly focus on assessing failures caused by degradation in mechanical properties, voltage breakdown, hardness, color difference, and other performance characteristics.

[0004] However, since conductive polymer materials used for electromagnetic shielding operate under higher density electromagnetic fields, in order to ensure their proper operation, it is necessary to improve the accuracy of the prediction results when predicting the lifetime of conductive polymer materials used for electromagnetic shielding in actual use environments. Summary of the Invention

[0005] Therefore, it is necessary to provide a method, apparatus, computer device, computer-readable storage medium, and computer program product that can improve the accuracy of prediction for determining material lifetime, in order to address the above-mentioned technical problems.

[0006] In a first aspect, this application provides a method for determining the lifetime of a material. The method is applied to electromagnetically shielding conductive polymer materials, comprising:

[0007] Obtain a first number of environmental parameters belonging to the same environmental stress, determine the preset frequency range corresponding to the target material, and divide the preset frequency range into a second number of continuous frequency sub-ranges;

[0008] Based on a first number of environmental parameters and a second number of frequency sub-ranges, multiple sets of experimental parameters are constructed, wherein each set of experimental parameters includes an environmental parameter and a frequency sub-range.

[0009] The test results are obtained by conducting aging tests on the target material under various test parameters. The test results obtained from each aging test include the characteristic values ​​of multiple key features of the target material.

[0010] For each key feature, based on the feature value of the corresponding key feature obtained from aging tests corresponding to the same environmental parameters, the target feature value corresponding to the corresponding key feature is determined, thus obtaining the target feature value corresponding to each key feature under each environmental parameter;

[0011] For each environmental parameter, the material life of the target material under the corresponding environmental parameter is determined based on the time period during which each target characteristic value reaches the critical value.

[0012] By inputting each environmental parameter and the corresponding material lifetime for each environmental parameter into the lifetime acceleration model corresponding to environmental stress, the correspondence between material lifetime and environmental stress is obtained; the correspondence is used to determine the material lifetime of the target material under the target environmental parameters.

[0013] In one embodiment, for each key feature, a target feature value corresponding to the corresponding key feature is determined based on the feature value of the corresponding key feature obtained from an aging test with the same environmental parameters. This includes: for each key feature, finding the feature value of the corresponding key feature obtained from an aging test with the same environmental parameters, filtering out feature values ​​that meet preset conditions based on the magnitude of the found feature values, and obtaining the target feature value corresponding to the corresponding key feature based on the average value of the filtered feature values.

[0014] In one embodiment, several key characteristics of the target material include electromagnetic wave shielding effectiveness, electromagnetic wave reflection loss, electromagnetic wave absorption loss, characteristic impedance, reflection coefficient, and conductivity. For each environmental parameter, the material lifetime of the target material under the corresponding environmental parameter is determined based on the time period during which each target characteristic value reaches a critical value. This includes: for each environmental parameter, the time period during which the target characteristic value of the electromagnetic wave shielding effectiveness of the target material decreases to a first critical value during the aging test is taken as the aging test time for electromagnetic wave shielding effectiveness; the time period during which the target characteristic value of the electromagnetic wave reflection loss of the target material decreases to a second critical value during the aging test is taken as the aging test time for electromagnetic wave reflection loss under the corresponding environmental parameter; and the time period during which the target characteristic value of the electromagnetic wave absorption loss of the target material decreases to a third critical value during the aging test is taken as the aging test time for electromagnetic wave absorption loss under the corresponding environmental parameter. The aging test time for electromagnetic wave absorption loss; the time period during which the target characteristic value of the target material's characteristic impedance increases to the fourth critical value during the aging test, is taken as the aging test time for characteristic impedance under the corresponding environmental parameters; the time period during which the target characteristic value of the target material's reflection coefficient decreases to the fifth critical value during the aging test, is taken as the aging test time for reflection coefficient under the corresponding environmental parameters; the time period during which the target characteristic value of the target material's conductivity decreases to the sixth critical value during the aging test, is taken as the aging test time for conductivity under the corresponding environmental parameters; based on the aging test time for electromagnetic wave shielding effectiveness, electromagnetic wave reflection loss, electromagnetic wave absorption loss, characteristic impedance, reflection coefficient, and conductivity under the corresponding environmental parameters, the material lifetime of the target material under the corresponding environmental parameters is determined.

[0015] In one embodiment, the material lifetime of the target material under corresponding environmental parameters is determined based on the aging test time for electromagnetic wave shielding effectiveness, electromagnetic wave reflection loss, electromagnetic wave absorption loss, characteristic impedance, reflection coefficient, and conductivity under corresponding environmental parameters. This includes: determining sensitive characteristics of the target material from multiple key features of the target material based on the aging test time for electromagnetic wave shielding effectiveness, electromagnetic wave reflection loss, electromagnetic wave absorption loss, characteristic impedance, reflection coefficient, and conductivity under corresponding environmental parameters; and using the aging test time corresponding to the sensitive characteristics under corresponding environmental parameters as the material lifetime of the target material under corresponding environmental parameters.

[0016] In one embodiment, the correspondence includes a first functional relationship. Each environmental parameter and the corresponding material lifetime are input into a lifetime acceleration model corresponding to environmental stress to obtain the correspondence between material lifetime and environmental stress. This includes: when the environmental stress is temperature, inputting at least three sets of environmental parameters and the corresponding material lifetimes into the first lifetime acceleration model, where the first lifetime acceleration model is a function of material lifetime with respect to temperature; transforming the first lifetime acceleration model to obtain a fitted linear equation for material lifetime with respect to temperature; and substituting the at least three sets of environmental parameters and the corresponding material lifetimes into the fitted linear equation to obtain the first functional relationship between material lifetime and environmental stress.

[0017] In one embodiment, the correspondence includes a second functional relationship. Each environmental parameter and the corresponding material lifetime are input into a lifetime acceleration model corresponding to environmental stress to obtain the correspondence between material lifetime and environmental stress. This includes: when the environmental stress is temperature and humidity, inputting at least four sets of environmental parameters and the corresponding material lifetimes into a second lifetime acceleration model, where the second lifetime acceleration model is a function of material lifetime with respect to temperature and humidity; transforming the second lifetime acceleration model to obtain a fitted plane equation for material lifetime with respect to temperature and humidity; and substituting at least four sets of environmental parameters and the corresponding material lifetimes into the fitted plane equation to obtain the second functional relationship between material lifetime and environmental stress.

[0018] In one embodiment, the electromagnetic shielding conductive polymer material includes a composite conductive polymer material, a structural conductive polymer material, or a multilayer composite conductive polymer material.

[0019] Secondly, this application also provides a material lifetime determination device. The device is applied to electromagnetically shielded conductive polymer materials and includes:

[0020] The acquisition module is used to acquire a first number of environmental parameters belonging to the same environmental stress, determine the preset frequency range corresponding to the target material, and divide the preset frequency range into a second number of continuous frequency sub-ranges.

[0021] The acquisition module is also used to construct multiple sets of experimental parameters based on a first number of environmental parameters and a second number of frequency sub-ranges, wherein a set of experimental parameters includes an environmental parameter and a frequency sub-range;

[0022] The acquisition module is also used to acquire the test results obtained by performing aging tests on the target material under each set of test parameters. The test results obtained from each aging test include the feature values ​​of multiple key features of the target material.

[0023] The determination module is used to determine the target feature value corresponding to each key feature based on the feature value of the corresponding key feature obtained from aging tests corresponding to the same environmental parameters, thereby obtaining the target feature value corresponding to each key feature under each environmental parameter.

[0024] The determination module is also used to determine the material life of the target material under the corresponding environmental parameters, based on the time period that each target characteristic value takes to reach the critical value for each environmental parameter.

[0025] The determination module is also used to input each environmental parameter and the material lifetime corresponding to each environmental parameter into the lifetime acceleration model corresponding to the environmental stress, so as to obtain the correspondence between the material lifetime and the environmental stress; the correspondence is used to determine the material lifetime of the target material under the target environmental parameters.

[0026] Thirdly, this application also provides a computer device. The computer device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to perform the following steps:

[0027] Obtain a first number of environmental parameters belonging to the same environmental stress, determine the preset frequency range corresponding to the target material, and divide the preset frequency range into a second number of continuous frequency sub-ranges;

[0028] Based on a first number of environmental parameters and a second number of frequency sub-ranges, multiple sets of experimental parameters are constructed, wherein each set of experimental parameters includes an environmental parameter and a frequency sub-range.

[0029] The test results are obtained by conducting aging tests on the target material under various test parameters. The test results obtained from each aging test include the characteristic values ​​of multiple key features of the target material.

[0030] For each key feature, based on the feature value of the corresponding key feature obtained from aging tests corresponding to the same environmental parameters, the target feature value corresponding to the corresponding key feature is determined, thus obtaining the target feature value corresponding to each key feature under each environmental parameter;

[0031] For each environmental parameter, the material life of the target material under the corresponding environmental parameter is determined based on the time period during which each target characteristic value reaches the critical value.

[0032] By inputting each environmental parameter and the corresponding material lifetime for each environmental parameter into the lifetime acceleration model corresponding to environmental stress, the correspondence between material lifetime and environmental stress is obtained; the correspondence is used to determine the material lifetime of the target material under the target environmental parameters.

[0033] Fourthly, this application also provides a computer-readable storage medium. The computer-readable storage medium stores a computer program thereon, which, when executed by a processor, performs the following steps:

[0034] Obtain a first number of environmental parameters belonging to the same environmental stress, determine the preset frequency range corresponding to the target material, and divide the preset frequency range into a second number of continuous frequency sub-ranges;

[0035] Based on a first number of environmental parameters and a second number of frequency sub-ranges, multiple sets of experimental parameters are constructed, wherein each set of experimental parameters includes an environmental parameter and a frequency sub-range.

[0036] The test results are obtained by conducting aging tests on the target material under various test parameters. The test results obtained from each aging test include the characteristic values ​​of multiple key features of the target material.

[0037] For each key feature, based on the feature value of the corresponding key feature obtained from aging tests corresponding to the same environmental parameters, the target feature value corresponding to the corresponding key feature is determined, thus obtaining the target feature value corresponding to each key feature under each environmental parameter;

[0038] For each environmental parameter, the material life of the target material under the corresponding environmental parameter is determined based on the time period during which each target characteristic value reaches the critical value.

[0039] By inputting each environmental parameter and the corresponding material lifetime for each environmental parameter into the lifetime acceleration model corresponding to environmental stress, the correspondence between material lifetime and environmental stress is obtained; the correspondence is used to determine the material lifetime of the target material under the target environmental parameters.

[0040] Fifthly, this application also provides a computer program product. The computer program product includes a computer program that, when executed by a processor, performs the following steps:

[0041] Obtain a first number of environmental parameters belonging to the same environmental stress, determine the preset frequency range corresponding to the target material, and divide the preset frequency range into a second number of continuous frequency sub-ranges;

[0042] Based on a first number of environmental parameters and a second number of frequency sub-ranges, multiple sets of experimental parameters are constructed, wherein each set of experimental parameters includes an environmental parameter and a frequency sub-range.

[0043] The test results are obtained by conducting aging tests on the target material under various test parameters. The test results obtained from each aging test include the characteristic values ​​of multiple key features of the target material.

[0044] For each key feature, based on the feature value of the corresponding key feature obtained from aging tests corresponding to the same environmental parameters, the target feature value corresponding to the corresponding key feature is determined, thus obtaining the target feature value corresponding to each key feature under each environmental parameter;

[0045] For each environmental parameter, the material life of the target material under the corresponding environmental parameter is determined based on the time period during which each target characteristic value reaches the critical value.

[0046] By inputting each environmental parameter and the corresponding material lifetime for each environmental parameter into the lifetime acceleration model corresponding to environmental stress, the correspondence between material lifetime and environmental stress is obtained; the correspondence is used to determine the material lifetime of the target material under the target environmental parameters.

[0047] The aforementioned method, apparatus, computer equipment, storage medium, and computer program product for determining material lifetime are applied to electromagnetically shielded conductive polymer materials. By acquiring a first set of environmental parameters belonging to the same environmental stress and a second set of frequency sub-ranges, multiple sets of test parameters are constructed. Feature values ​​of multiple key characteristics of the target material are obtained by conducting aging tests on the target material under each set of test parameters. Based on the feature values ​​of the multiple key characteristics of the target material under each set of test parameters, target feature values ​​of the multiple key characteristics of the target material under each environmental parameter are determined. Based on the target feature values ​​of the multiple key characteristics of the target material under each environmental parameter, the material lifetime of the target material under each environmental parameter is determined. Each environmental parameter and the material lifetime of the target material under each environmental parameter are input into a lifetime acceleration model corresponding to the environmental stress to obtain the correspondence between material lifetime and environmental stress. This correspondence is used to determine the material lifetime of the target material under the target environmental parameters, thereby improving the accuracy of lifetime prediction when predicting the lifetime of electromagnetically shielded conductive polymer materials in actual use environments. Attached Figure Description

[0048] Figure 1 This is a diagram illustrating the application environment of a material lifetime determination method in one embodiment;

[0049] Figure 2 This is a flowchart illustrating a method for determining material lifetime in one embodiment;

[0050] Figure 3 This is a flowchart illustrating the steps for determining the target feature values ​​of key features in one embodiment.

[0051] Figure 4 This is a structural block diagram of a material lifetime determination device in one embodiment;

[0052] Figure 5 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0053] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0054] The material life determination method provided in this application embodiment can be applied to, for example, Figure 1 In the application environment shown, terminal 102 communicates with server 104 via a network. A data storage system can store the data that server 104 needs to process. The data storage system can be integrated onto server 104 or placed on a cloud or other network server. Terminal 102 can independently execute the material lifetime determination method provided in this application embodiment, and terminal 102 and server 104 can also collaboratively execute the material lifetime determination method provided in this application embodiment.

[0055] When terminal 102 executes the material lifetime determination method alone, terminal 102 acquires a first number of environmental parameters belonging to the same environmental stress, determines a preset frequency range corresponding to the target material, and divides the preset frequency range into a second number of continuous frequency sub-ranges; based on the first number of environmental parameters and the second number of frequency sub-ranges, multiple sets of test parameters are constructed, wherein each set of test parameters includes an environmental parameter and a frequency sub-range; the test results obtained by performing aging tests on the target material under each set of test parameters are acquired, and the test results obtained by each aging test include the feature values ​​of multiple key features of the target material; for each key feature, based on the feature value of the corresponding key feature obtained by the aging test corresponding to the same environmental parameter, the target feature value corresponding to the corresponding key feature is determined, and the target feature value corresponding to each key feature under each environmental parameter is obtained; for each environmental parameter, based on the time period taken for each target feature value to reach the critical value, the material lifetime of the target material under the corresponding environmental parameter is determined; each environmental parameter and the material lifetime corresponding to each environmental parameter are input into the lifetime acceleration model corresponding to the environmental stress to obtain the correspondence between material lifetime and environmental stress; the correspondence is used to determine the material lifetime of the target material under the target environmental parameters.

[0056] When terminal 102 and server 104 collaboratively execute the material life determination method, terminal 102 acquires a first number of environmental parameters belonging to the same environmental stress, determines a preset frequency range corresponding to the target material, and divides the preset frequency range into a second number of continuous frequency sub-ranges; based on the first number of environmental parameters and the second number of frequency sub-ranges, constructs multiple sets of test parameters, wherein each set of test parameters includes an environmental parameter and a frequency sub-range; acquires the test results obtained by performing aging tests on the target material under each set of test parameters, wherein the test results obtained from each aging test include the feature values ​​of multiple key features of the target material, and sends the test results to server 104. For each key feature, server 104 determines the target feature value corresponding to the key feature based on the feature value obtained from aging tests corresponding to the same environmental parameters, thus obtaining the target feature value corresponding to each key feature under each environmental parameter; for each environmental parameter, the material life of the target material under the corresponding environmental parameter is determined based on the time period taken for each target feature value to reach the critical value; each environmental parameter and the material life corresponding to each environmental parameter are input into the life acceleration model corresponding to environmental stress to obtain the correspondence between material life and environmental stress; the correspondence is used to determine the material life of the target material under the target environmental parameters.

[0057] The terminal 102 can be, but is not limited to, various personal computers, laptops, smartphones, tablets, IoT devices, and portable wearable devices. IoT devices can include smart speakers, smart TVs, smart air conditioners, and smart in-vehicle systems. Portable wearable devices can include smartwatches, smart bracelets, and head-mounted devices. The server 104 can be implemented using a standalone server or a server cluster consisting of multiple servers.

[0058] In one embodiment, such as Figure 2 As shown, a method for determining material lifetime is provided, applicable to electromagnetically shielded conductive polymer materials. This method can be executed independently by a terminal or server, or collaboratively by both. This method is applied to... Figure 1 Taking the terminal in the example, the explanation includes the following steps:

[0059] Step 202: Obtain a first number of environmental parameters belonging to the same environmental stress, determine the preset frequency range corresponding to the target material, and divide the preset frequency range into a second number of continuous frequency sub-ranges.

[0060] The target material is an electromagnetically shielded conductive polymer material whose lifetime is to be tested.

[0061] Environmental stress includes environmental conditions such as temperature, humidity, xenon lamp irradiation, ultraviolet irradiation, salt spray, mechanical stress, and electrical stress. Environmental parameters are the specific numerical values ​​of environmental stress. The first quantity is a positive integer greater than or equal to three. For example, if the environmental stress is temperature, three environmental parameters belonging to the same environmental stress could be 30℃, 50℃, and 80℃.

[0062] The preset frequency range is set in advance according to the test requirements, and this application embodiment does not limit it. The second quantity is a positive integer greater than or equal to three. For example, the preset frequency range is 1MHz to 100GHz, and the five consecutive frequency sub-ranges are 1MHz to 1GHz, 1GHz to 10GHz, 10GHz to 50GHz, 50GHz to 80GHz, and 80GHz to 100GHz.

[0063] Specifically, the terminal uses a first number of environmental parameters belonging to the same environmental stress to determine a preset frequency range corresponding to the target material, and divides the preset frequency range into a second number of continuous frequency sub-ranges.

[0064] Step 204: Based on a first number of environmental parameters and a second number of frequency sub-ranges, construct multiple sets of experimental parameters, wherein each set of experimental parameters includes an environmental parameter and a frequency sub-range.

[0065] Specifically, the terminal constructs multiple sets of test parameters based on a first number of environmental parameters and a second number of frequency sub-ranges, with each set of test parameters including one environmental parameter and one frequency sub-range. The number of multiple sets of test parameters is the product of the first number and the second number.

[0066] Step 206: Obtain the test results obtained by conducting aging tests on the target material under each set of test parameters. The test results obtained from each aging test include the characteristic values ​​of multiple key features of the target material.

[0067] The aging test, also known as the accelerated aging test, is conducted under laboratory conditions (usually higher than the environmental stress conditions experienced by the target material in actual use). Multiple samples of the target material are taken and grouped according to different environmental parameters belonging to the same environmental stress. Each group includes at least three samples. The characteristic values ​​of key features of the samples are recorded at different times until the characteristic values ​​reach the corresponding critical values ​​of the key features. At this point, the target material fails (or degrades), meaning it becomes unusable. The critical values ​​of the key features are preset according to the testing requirements, and this application does not limit this.

[0068] Several key characteristics of the target material include at least two of the following: electromagnetic shielding effectiveness, electromagnetic wave reflection loss, electromagnetic wave absorption loss, characteristic impedance, reflection coefficient, conductivity, tensile strength, compressive strength, flexural strength, and impact strength. Among these, electromagnetic shielding effectiveness, electromagnetic wave reflection loss, electromagnetic wave absorption loss, characteristic impedance, reflection coefficient, and conductivity are all closely related to the application environment of the target material (usually a high-energy electromagnetic environment), while tensile strength, compressive strength, flexural strength, and impact strength are all related to the mechanical properties of the target material.

[0069] Eigenvalues ​​are the specific numerical values ​​of key features. For example, if the key feature is tensile strength, the eigenvalue is 5 N / mm. 2 Since electromagnetic shielding effectiveness, electromagnetic wave reflection loss, electromagnetic wave absorption loss, characteristic impedance, reflection coefficient, and conductivity are all functions of frequency, their characteristic values ​​are not fixed but vary with the frequency of the electromagnetic environment in which the target material is located. Therefore, the characteristic values ​​of electromagnetic shielding effectiveness, electromagnetic wave reflection loss, electromagnetic wave absorption loss, characteristic impedance, reflection coefficient, and conductivity can be obtained by aging the target material under test parameters consisting of an environmental parameter and the upper limit frequency of a frequency sub-range (i.e., the maximum value of the frequency sub-range), or by aging the target material under test parameters consisting of an environmental parameter and the average frequency of a frequency sub-range (i.e., the average of the minimum and maximum values ​​of the frequency sub-range).

[0070] Specifically, the terminal obtains the test results obtained by conducting aging tests on the target material under each set of test parameters. The test results obtained from each aging test include the characteristic values ​​of multiple key features of the target material.

[0071] Step 208: For each key feature, based on the feature value of the corresponding key feature obtained from the aging test corresponding to the same environmental parameters, determine the target feature value corresponding to the corresponding key feature, and obtain the target feature value corresponding to each key feature under each environmental parameter.

[0072] Among them, the target feature value is the feature value of each key feature of the target material corresponding to the preset frequency range.

[0073] Specifically, for each key feature, the terminal calculates the average value of the feature values ​​of the corresponding key feature obtained from aging tests corresponding to the same environmental parameters, and obtains the target feature value corresponding to the corresponding key feature. The number of feature values ​​of the corresponding key feature obtained from aging tests corresponding to the same environmental parameters is the second number, and the number of target feature values ​​corresponding to the corresponding key feature is the first number, thereby obtaining the target feature value corresponding to each key feature under each environmental parameter.

[0074] Step 210: For each environmental parameter, determine the material life of the target material under the corresponding environmental parameter based on the time period during which each target characteristic value reaches the critical value.

[0075] The material lifetime of the target material is the time period during which the target material is in an effective state. The critical value of the key feature can be a preset proportion of the initial feature value of the key feature. The preset proportion can be 10% to 200%. If the preset proportion is less than 100%, it means that a decrease in the feature value of the key feature will cause the target material to fail. If the preset proportion is greater than 100%, it means that an increase in the feature value of the key feature will cause the target material to fail.

[0076] Specifically, for each environmental parameter, the terminal obtains the time period during which the target feature value corresponding to each key feature reaches the critical value of the corresponding key feature. Based on the time period during which the target feature value corresponding to each key feature reaches the critical value of the corresponding key feature, the material life of the target material under the corresponding environmental parameter is determined.

[0077] Step 212: Input each environmental parameter and the corresponding material lifetime for each environmental parameter into the lifetime acceleration model corresponding to the environmental stress to obtain the correspondence between material lifetime and environmental stress; the correspondence is used to determine the material lifetime of the target material under the target environmental parameters.

[0078] Accelerated life models, also known as accelerated life models (ALMs), are mathematical models used to establish the relationship between material life and environmental stress. Accelerated life models include temperature-accelerated life models, thermal cycling-accelerated life models, temperature-humidity-accelerated life models, electrical stress-accelerated life models, and vibration-stress-accelerated life models.

[0079] The target environmental parameter is the environmental parameter of the actual use environment of the target material, and belongs to the environmental stress of each environmental parameter during the aging test of the target material. For example, the environmental stress of each environmental parameter during the aging test of the target material is temperature. Different environmental parameters belonging to the same environmental stress are 30℃, 50℃ and 80℃. The actual use environment temperature of the target material is 35℃, then the target environmental parameter is 35℃.

[0080] Since the environmental stresses associated with the target environmental parameters are consistent with the environmental stresses associated with various environmental parameters during the aging test of the target material, the correlation between the material lifetime and environmental stress under the target environmental parameters is consistent with the correlation between the material lifetime and environmental stress under different environmental parameters with the same environmental stress during the aging test. Therefore, the correlation between material lifetime and environmental stress obtained from aging tests of the target material can be used to determine the material lifetime of the target material under the target environmental parameters.

[0081] Specifically, the terminal inputs each environmental parameter and the corresponding material lifetime for each environmental parameter into the lifetime acceleration model corresponding to the environmental stress to obtain the correspondence between material lifetime and environmental stress; the correspondence between material lifetime and environmental stress is used to determine the material lifetime of the target material under the target environmental parameters.

[0082] The aforementioned method for determining material lifetime is applied to electromagnetically shielded conductive polymer materials. It constructs multiple sets of experimental parameters by acquiring a first set of environmental parameters belonging to the same environmental stress and a second set of frequency sub-ranges. It then acquires the characteristic values ​​of multiple key features of the target material obtained through aging tests conducted on the target material under each set of experimental parameters. Based on these characteristic values, it determines the target characteristic values ​​of multiple key features of the target material under each environmental parameter. Finally, it determines the material lifetime of the target material under each environmental parameter based on these target characteristic values. The environmental parameters and the material lifetime of the target material under each environmental parameter are input into a lifetime acceleration model corresponding to the environmental stress to obtain the correspondence between material lifetime and environmental stress. This correspondence is used to determine the material lifetime of the target material under the target environmental parameters, thereby improving the accuracy of lifetime prediction for electromagnetically shielded conductive polymer materials in actual use environments.

[0083] In one embodiment, the material life determination method further includes obtaining the target environmental parameters of the target material, substituting the target environmental parameters into the correspondence, and obtaining the material life of the target material under the target environmental parameters.

[0084] Specifically, the terminal acquires the target environmental parameters of the target material, substitutes the target environmental parameters into the correspondence between material life and environmental stress, and obtains the material life of the target material under the target environmental parameters.

[0085] In this embodiment, by obtaining the target environmental parameters of the target material and substituting these parameters into the correspondence between material lifespan and environmental stress, the material lifespan of the target material under the target environmental parameters can be determined. This can meet the production requirements of electromagnetic shielding conductive polymer materials and help improve product reliability.

[0086] In one embodiment, such as Figure 3 As shown, for each key feature, based on the feature value of the corresponding key feature obtained from aging tests corresponding to the same environmental parameters, the target feature value corresponding to the corresponding key feature is determined, including:

[0087] Step 302: For each key feature, find the feature value of the corresponding key feature obtained from the aging test with the same environmental parameters, and select the feature value that meets the preset conditions based on the size of the found feature value.

[0088] The preset conditions are pre-set based on the testing requirements of key features, and this application embodiment does not limit them.

[0089] Specifically, when the key characteristics of the target material include electromagnetic wave shielding effectiveness, electromagnetic wave reflection loss, and characteristic impedance, for electromagnetic shielding effectiveness, the terminal searches for the characteristic values ​​of the corresponding key characteristics obtained from aging tests with the same environmental parameters from the characteristic values ​​of multiple key characteristics of the target material, and selects characteristic values ​​greater than a first threshold (e.g., 30dB); for electromagnetic wave reflection loss, the terminal searches for the characteristic values ​​of the corresponding key characteristics obtained from aging tests with the same environmental parameters from the characteristic values ​​of multiple key characteristics of the target material, and selects characteristic values ​​less than a second threshold (e.g., -10dB); for characteristic impedance, the terminal searches for the characteristic values ​​of the corresponding key characteristics obtained from aging tests with the same environmental parameters from the characteristic values ​​of multiple key characteristics of the target material, and uses the absolute value of the difference between the found characteristic value and 1 as the characteristic value that meets the preset conditions.

[0090] Step 304: Based on the average value of the selected feature values, obtain the target feature value corresponding to the corresponding key feature.

[0091] The average value includes the harmonic mean, geometric mean, arithmetic mean, or squared mean.

[0092] Specifically, for each key feature, the terminal calculates the average value of the selected feature values ​​to obtain the target feature value corresponding to the corresponding key feature.

[0093] In this embodiment, by screening the feature values ​​of multiple key characteristics of the target material, target materials with poor electromagnetic shielding effectiveness, high electromagnetic wave reflection loss, and high characteristic impedance can be excluded. The selected feature values ​​that meet the preset conditions are obtained through aging tests on high-performance target materials. Lifetime prediction based on these selected feature values ​​improves the accuracy of the prediction results. By calculating the average value of the selected feature values ​​that meet the preset conditions, the target feature value for each key characteristic can be determined.

[0094] In one embodiment, several key characteristics of the target material include electromagnetic wave shielding effectiveness, electromagnetic wave reflection loss, electromagnetic wave absorption loss, characteristic impedance, reflection coefficient, and conductivity. For each environmental parameter, the material lifetime of the target material under the corresponding environmental parameter is determined based on the time period during which each target characteristic value reaches a critical value. This includes: for each environmental parameter, the time period during which the target characteristic value of the electromagnetic wave shielding effectiveness of the target material decreases to a first critical value during the aging test is taken as the aging test time for electromagnetic wave shielding effectiveness under the corresponding environmental parameter; the time period during which the target characteristic value of the electromagnetic wave reflection loss of the target material decreases to a second critical value during the aging test is taken as the aging test time for electromagnetic wave reflection loss under the corresponding environmental parameter; and the time period during which the target characteristic value of the electromagnetic wave absorption loss of the target material decreases to a third critical value during the aging test is taken as the aging test time for electromagnetic wave reflection loss under the corresponding environmental parameter. The aging test time for electromagnetic wave absorption loss under environmental parameters; the time period during which the target characteristic value of the target material's characteristic impedance increases to the fourth critical value during the aging test is taken as the aging test time for characteristic impedance under the corresponding environmental parameters; the time period during which the target characteristic value of the target material's reflection coefficient decreases to the fifth critical value during the aging test is taken as the aging test time for reflection coefficient under the corresponding environmental parameters; the time period during which the target characteristic value of the target material's conductivity decreases to the sixth critical value during the aging test is taken as the aging test time for conductivity under the corresponding environmental parameters; based on the aging test time for electromagnetic wave shielding effectiveness, electromagnetic wave reflection loss, electromagnetic wave absorption loss, characteristic impedance, reflection coefficient, and conductivity, the material lifetime of the target material under the corresponding environmental parameters is determined.

[0095] The first, second, third, fourth, fifth, and sixth critical values ​​are the critical values ​​corresponding to the electromagnetic shielding effectiveness, electromagnetic wave reflection loss, electromagnetic wave absorption loss, characteristic impedance, reflection coefficient, and conductivity of the target material, respectively. The fourth critical value is greater than 100%, while the first, second, third, fifth, and sixth critical values ​​are less than 100%.

[0096] Electromagnetic shielding effectiveness is generally used to measure the effectiveness of a shielding structure. It refers to the ratio of the intensity of the electromagnetic field at the same location without a shield to the intensity of the electromagnetic field after a shield is added, thus characterizing the shielding effect of a metallic material. Electromagnetic wave reflection loss assesses a material's ability to absorb electromagnetic waves; it is the energy loss between the incident and reflected waves at the interface between the absorbing material and air, and its unit is dB. Electromagnetic wave absorption loss is the degree of attenuation of electromagnetic waves propagating within a shielding material. Characteristic impedance is the resistance encountered by electromagnetic waves propagating within a material; its value is equal to the ratio of the material's normalized input impedance to the air's normalized characteristic impedance. The reflection coefficient is the ratio of the intensity of the reflected light to the intensity of the incident light when incident light strikes an object. Electrical conductivity is a parameter used to describe the ease with which electric charge flows within a material.

[0097] For the same shielding material, the higher the wave impedance of the electromagnetic wave, the greater the reflection loss. Therefore, high-impedance electromagnetic waves are easier to shield. For the same shielding material, the higher the frequency of the electromagnetic wave, the smaller the reflection loss. The better the conductivity of the shielding material, the higher the corresponding conductivity, and the greater the reflection loss. The worse the magnetic permeability of the shielding material, the lower the corresponding magnetic permeability, and the greater the reflection loss. The higher the magnetic permeability and conductivity of the conductor, the greater the absorption loss. Magnetic permeability and conductivity have an impact on absorption loss.

[0098] Specifically, several key characteristics of the target material include electromagnetic wave shielding effectiveness, electromagnetic wave reflection loss, electromagnetic wave absorption loss, characteristic impedance, reflection coefficient, and conductivity. For each environmental parameter, the time interval during the aging test will be determined based on the following: the time interval for the target characteristic value of the electromagnetic wave shielding effectiveness to decrease to the first critical value; the time interval for the target characteristic value of the electromagnetic wave reflection loss to decrease to the second critical value; the time interval for the target characteristic value of the electromagnetic wave absorption loss to decrease to the third critical value; the time interval for the target characteristic value of the characteristic impedance to increase to the fourth critical value; the time interval for the target characteristic value of the reflection coefficient to decrease to the fifth critical value; and the time interval for the conductivity to increase to the fourth critical value. The time interval during which the characteristic value of the target material decreases to the sixth critical value is used as the aging test time for electromagnetic wave shielding effectiveness, electromagnetic wave reflection loss, electromagnetic wave absorption loss, characteristic impedance, reflection coefficient, and conductivity under the corresponding environmental parameters. Based on the aging test time for electromagnetic wave shielding effectiveness, electromagnetic wave reflection loss, electromagnetic wave absorption loss, characteristic impedance, reflection coefficient, and conductivity under the corresponding environmental parameters, the material life of the target material under the corresponding environmental parameters is determined.

[0099] In this embodiment, for each environmental parameter, the material life of the target material under the corresponding environmental parameter can be determined by measuring the time intervals during which the target characteristic values ​​of electromagnetic wave shielding effectiveness, electromagnetic wave reflection loss, electromagnetic wave absorption loss, characteristic impedance, reflection coefficient, and conductivity of the target material reach their respective critical values ​​during the aging test.

[0100] In one embodiment, the material lifetime of the target material under corresponding environmental parameters is determined based on the aging test time for electromagnetic wave shielding effectiveness, electromagnetic wave reflection loss, electromagnetic wave absorption loss, characteristic impedance, reflection coefficient, and conductivity under corresponding environmental parameters. This includes: determining the sensitive characteristics of the target material from multiple key characteristics of the target material based on the aging test time for electromagnetic wave shielding effectiveness, electromagnetic wave reflection loss, electromagnetic wave absorption loss, characteristic impedance, reflection coefficient, and conductivity under corresponding environmental parameters; and using the aging test time corresponding to the sensitive characteristics under corresponding environmental parameters as the material lifetime of the target material under corresponding environmental parameters.

[0101] Among them, the sensitive characteristics of the target material refer to the key characteristics that have a significant impact on the failure effect of the target material.

[0102] Specifically, the terminal will identify the key characteristic corresponding to the minimum aging test time among the aging test time for electromagnetic wave shielding effectiveness, electromagnetic wave reflection loss, electromagnetic wave absorption loss, characteristic impedance, reflection coefficient, and conductivity under the corresponding environmental parameters as the sensitive characteristic of the target material; and will take the aging test time corresponding to the sensitive characteristic under the corresponding environmental parameters as the material life of the target material under the corresponding environmental parameters.

[0103] In this embodiment, by identifying the key feature corresponding to the shortest aging test time among multiple key features of the target material as the sensitive feature of the target material, and taking the aging test time corresponding to the sensitive feature under the corresponding environmental parameters as the material life of the target material under the corresponding environmental parameters, the purpose of determining the material life of the target material under each environmental parameter can be achieved.

[0104] In one embodiment, the correspondence includes a first functional relationship. Each environmental parameter and the corresponding material lifetime are input into a lifetime acceleration model corresponding to environmental stress to obtain the correspondence between material lifetime and environmental stress. This includes: when the environmental stress is temperature, inputting at least three sets of environmental parameters and the corresponding material lifetimes into the first lifetime acceleration model, where the first lifetime acceleration model is a function of material lifetime with respect to temperature; transforming the first lifetime acceleration model to obtain a fitted linear equation for material lifetime with respect to temperature; and substituting the at least three sets of environmental parameters and the corresponding material lifetimes into the fitted linear equation to obtain the first functional relationship between material lifetime and environmental stress.

[0105] The first functional relationship is a linear function in one variable. The first lifetime acceleration model can be an Arrhenius model.

[0106] Specifically, under test conditions where all other environmental stresses are the same except for temperature, the terminal inputs at least three different temperature values ​​and the corresponding material lifetimes for each temperature value into the first life acceleration model. By performing a logarithmic transformation on the first life acceleration model, a linear function of the logarithm of the material lifetime with respect to the temperature derivative is obtained. The linear function of the logarithm of the material lifetime with respect to the temperature derivative is then transformed to obtain the fitted linear equation of the material lifetime with respect to temperature. Substituting the at least three different temperature values ​​and the corresponding material lifetimes for each temperature value into the fitted linear equation of the material lifetime with respect to temperature, a linear function of the material lifetime with respect to temperature is obtained, which is the first functional relationship between the material lifetime and temperature.

[0107] The Arrhenius model is used as an example to illustrate the first lifetime acceleration model.

[0108] The formula for the Arrhenius model is:

[0109]

[0110] In formula (1), TTF represents the material life; A0 is a set constant, determined by aging test requirements, and varies with the material life; E aa The activation energy is expressed in eV; k is the Boltzmann constant, with a value of 8.62 × 10⁻⁵ eV / K; and T is the Kelvin temperature, expressed in K.

[0111] Taking the logarithm of both sides of equation (1), we obtain the logarithm of material life as a linear function of the temperature derivative:

[0112]

[0113] Let y = ln(TTF), constant The constant b = A0,

[0114] From formula (2), we obtain the fitted linear equation of material lifetime with respect to temperature:

[0115] y = b + ax (3)

[0116] Formula (3) is a straight line in the x, y two-dimensional coordinate system, that is, the relationship between the material life of the target material and the temperature is a straight line in the two-dimensional coordinate system with 1 / T as the x-axis (horizontal axis) and ln(TTF) as the y-axis (vertical axis).

[0117] By substituting three or more sets of material lifetime and temperature values ​​into the fitted linear equation, the first functional relationship between the material lifetime and temperature of the target material is obtained.

[0118] In this embodiment, when the environmental stress is temperature, by inputting at least three sets of environmental parameters and the material lifetime corresponding to each environmental parameter into the first lifetime acceleration model, the purpose of obtaining the first functional relationship between material lifetime and environmental stress can be achieved.

[0119] In one embodiment, the correspondence includes a second functional relationship. Each environmental parameter and the corresponding material lifetime are input into a lifetime acceleration model corresponding to environmental stress to obtain the correspondence between material lifetime and environmental stress. This includes: when the environmental stress is temperature and humidity, inputting at least four sets of environmental parameters and the corresponding material lifetimes into a second lifetime acceleration model, where the second lifetime acceleration model is a function of material lifetime with respect to temperature and humidity; transforming the second lifetime acceleration model to obtain a fitted plane equation for material lifetime with respect to temperature and humidity; and substituting at least four sets of environmental parameters and the corresponding material lifetimes into the fitted plane equation to obtain the second functional relationship between material lifetime and environmental stress.

[0120] The second functional relationship is a linear function in two variables. The second lifetime acceleration model can be the Peck model.

[0121] Specifically, under test conditions where all other environmental stresses are the same except for temperature and humidity, the terminal inputs at least four different temperature and humidity values, along with the material lifetime corresponding to each temperature and humidity value, into the second lifetime acceleration model. By performing a logarithmic transformation on the second lifetime acceleration model, a linear function of material lifetime with respect to temperature and humidity is obtained. This linear function is then transformed to obtain a fitted plane equation of material lifetime with respect to temperature and humidity. Substituting the at least four different temperature and humidity values, along with the material lifetime corresponding to each temperature and humidity value, into the fitted plane equation of material lifetime with respect to temperature and humidity, a bivariate linear function of material lifetime with respect to temperature and humidity is obtained, which is the second functional relationship between material lifetime and temperature and humidity.

[0122] The second lifetime acceleration model, the Peck model, will be used as an example for explanation.

[0123] The formula for the Peck model is:

[0124]

[0125] In formula (4), TTF represents the material life; A0 is a set constant, determined by aging test requirements, and varies with the material life; E aa Activation energy is expressed in eV; k is the Boltzmann constant, with a value of 8.62 × 10⁻⁵ eV / K; T is the Kelvin temperature, in K; RH is the relative humidity, in %; and n is the Peck relative humidity index.

[0126] Taking the logarithm of both sides of equation (4), we obtain a linear function of material life with respect to temperature and humidity:

[0127]

[0128] Let z = ln(TTF), If y = ln(RH), then:

[0129] From formula (5), we obtain the fitted plane equation for the material lifetime with respect to temperature and humidity:

[0130]

[0131] In formula (6), the three-dimensional coordinate system of x, y, z is a plane, that is, the relationship between the material life of the target material and temperature and humidity is a planar equation relationship in a three-dimensional coordinate system with 1 / T as the x-axis (horizontal axis), ln(RH) as the y-axis (vertical axis), and ln(TTF) as the z-axis (vertical axis).

[0132] By substituting four or more sets of material lifetimes and different temperature and humidity values ​​into the fitted plane equation, the second functional relationship between the target material's material lifetime and temperature and humidity is obtained.

[0133] In this embodiment, when the environmental stress is temperature and humidity, by inputting at least four sets of environmental parameters and the material lifetime corresponding to each environmental parameter into the second lifetime acceleration model, the purpose of obtaining the second functional relationship between material lifetime and environmental stress can be achieved.

[0134] In one embodiment, the electromagnetic shielding conductive polymer material includes a composite conductive polymer material, a structural conductive polymer material, or a multilayer composite conductive polymer material.

[0135] Composite conductive polymer materials include polymer materials coated with conductive substances, polymer materials filled with conductive materials, and laminated structures of polymer materials and conductive textile materials. Structural conductive polymer materials include one or more mixtures of polyacetylene, polyphenylene sulfide, polypyrrole, polythiophene, polyaniline, poly(p-phenylene), polyphthalocyanine compounds, polyphenylene oxide, and polyphenylene acetylene. Multilayer composite conductive polymer materials are obtained by laminating multiple layers of composite conductive polymer materials and structural conductive polymer materials.

[0136] When the target material is a multilayer composite conductive polymer, for each environmental parameter, the material lifetime of the target material under the corresponding environmental parameter is determined based on the time period during which each target feature value reaches its critical value. This includes: for each environmental parameter, based on the time period during which the target feature value of each key feature of each layer reaches the critical value of the corresponding key feature, determining the sensitive features of each layer from multiple key features to obtain multiple sensitive features; based on the time period during which the target feature value of each of the multiple sensitive features reaches the critical value of the corresponding sensitive feature, determining the most sensitive feature from the multiple sensitive features; and determining the time period during which the target feature value of the most sensitive feature reaches the critical value of the most sensitive feature as the material lifetime of the target material.

[0137] In this embodiment, by classifying electromagnetic shielding conductive polymer materials, the purpose of life assessment for different types of electromagnetic shielding conductive polymer materials can be achieved.

[0138] In one embodiment, a method for determining material lifetime is provided, applied to electromagnetically shielding conductive polymer materials, comprising the following steps:

[0139] Step 1: Take multiple conductive polymer materials for electromagnetic shielding and group them. Conduct accelerated aging tests on each group of samples (i.e., the target materials mentioned above) under key stress conditions (i.e., different environmental parameters belonging to the same environmental stress), such as different temperatures, or different temperatures and humidity levels. Treat the changes in key characteristic parameters (i.e., the characteristic values ​​of the key features mentioned above) as a function of time until the key characteristic parameters reach the specified critical values. Specifically:

[0140] 1) Place each group of samples under different critical stress conditions, and measure the electromagnetic shielding effectiveness, electromagnetic wave reflection loss, electromagnetic wave absorption loss, characteristic impedance, reflection coefficient, and conductivity of each group after a specified time period. Determine whether these critical characteristic parameters have reached the specified critical values ​​(i.e., the set proportion of the initial value, such as 10% of the initial value, where failure means a decrease in the critical characteristic parameter; or 1000%, where failure means an increase in the critical characteristic parameter).

[0141] 2) Because parameters such as electromagnetic shielding effectiveness, electromagnetic wave reflection loss, electromagnetic wave absorption loss, characteristic impedance, reflection coefficient, and conductivity are functions of frequency and change with frequency, statistical analysis of these performance data is required before and after aging tests. The analysis methods vary depending on the performance.

[0142] For example, to calculate the electromagnetic shielding effectiveness (i.e. the target characteristic value mentioned above), take the material shielding effectiveness value that is higher than 30dB in the range of 1MHz to 100GHz, and then calculate one of the following values: harmonic mean, geometric mean, arithmetic mean, square mean, etc. Finally, take the value obtained after preprocessing as the standard for material failure when it reaches the critical value.

[0143] For example, to calculate the electromagnetic wave reflection loss, first take the values ​​of material reflection loss below -10dB within the range of 1MHz to 100GHz. Then, calculate one of the following: harmonic mean, geometric mean, arithmetic mean, or square mean. (For example, if the values ​​of reflection loss below -10dB are between 1GHz and 20GHz, and the arithmetic mean is used, then we take the electromagnetic wave reflection loss value at 1GHz, add the value at 2GHz, and so on up to the electromagnetic wave reflection loss at 20GHz. The total value divided by 20 can be used as the arithmetic mean of this performance. Then, when this value reaches a critical value, it can be considered as the material failing.)

[0144] For example, to calculate the characteristic impedance, take the absolute value of the characteristic impedance minus 1 within the range of 1MHz to 100GHz, and then calculate one of the following values ​​within the range of 1MHz to 100GHz: harmonic mean, geometric mean, arithmetic mean, or square mean.

[0145] For example, key characteristic parameters such as electromagnetic wave absorption loss, reflection coefficient, and conductivity can be directly calculated using one of the following: harmonic mean, geometric mean, arithmetic mean, or square mean.

[0146] When testing electromagnetic shielding effectiveness, electromagnetic wave reflection loss, electromagnetic wave absorption loss, characteristic impedance, and reflection coefficient, the case where the electromagnetic wave is incident perpendicularly to the material is considered; that is, the values ​​are measured with the electromagnetic wave incident perpendicularly. Unless otherwise specified, the frequency range for testing parameters such as electromagnetic shielding effectiveness, electromagnetic wave reflection loss, electromagnetic wave absorption loss, characteristic impedance, reflection coefficient, and conductivity is from 1MHz to 100GHz. However, for conductive polymer materials used in specific frequency ranges, only the performance within that specific range needs to be tested. For example, conductive cloth commonly operates at frequencies of 30MHz to 1GHz, so only the key performance within this range needs to be tested. Similarly, absorbing materials commonly operate at frequencies of 1 to 18GHz, so only the key performance within the 1 to 18GHz range needs to be tested.

[0147] 3) Based on previous experiments, we set critical value limits for the key characteristic parameters of electromagnetic shielding conductive polymer materials to meet the standards for practical applications.

[0148] When the electromagnetic shielding effectiveness decreases to the first critical value, which is about 70% of the initial value, it is determined that the conductive polymer material used for electromagnetic shielding has failed and reached the end of its lifespan.

[0149] When the electromagnetic wave reflection loss decreases to the second critical value, which is about 50% of the initial value, it is determined that the conductive polymer material used for electromagnetic shielding has failed and reached the end of its lifespan.

[0150] When the electromagnetic wave absorption loss decreases to the third critical value, which is about 50% of the initial value, it is determined that the conductive polymer material used for electromagnetic shielding has failed and reached the end of its lifespan.

[0151] When the characteristic impedance increases to the fourth critical value, which is about 300% of the initial value, it is determined that the conductive polymer material used for electromagnetic shielding has failed and reached the end of its lifespan.

[0152] When the reflection coefficient decreases to the fifth critical value, which is about 40% of the initial value, it is determined that the conductive polymer material used for electromagnetic shielding has failed and reached the end of its lifespan.

[0153] When the conductivity decreases to the sixth critical value, which is about 10% of the initial value, it is determined that the conductive polymer material used for electromagnetic shielding has failed and reached the end of its lifespan.

[0154] When the tensile strength, compressive strength, flexural strength, or impact strength decreases to the seventh critical value, which is approximately 50% of the initial value, it is determined that the electromagnetic shielding conductive polymer material has failed and reached the end of its lifespan.

[0155] 4) Take the key feature parameter corresponding to the shortest time period among the time periods in which each key feature parameter reaches its corresponding critical value (i.e., select the most sensitive key feature parameter from the key feature parameters) as the target key feature parameter (i.e. the sensitive feature mentioned above), and record the time period (aging time) in which the target key feature parameter decreases / increases to the corresponding critical value.

[0156] Step 2: Substitute the degradation analysis results obtained in Step 1 (e.g., aging time of multiple temperature groups and the target key characteristic parameters of the samples corresponding to each temperature) into the lifetime acceleration model for each key stress type (i.e., the environmental stress mentioned above) to obtain the correspondence between the lifetime of the 5G antenna polymer material and various key stress types.

[0157] Step 3: Preliminary tests show that the degree of change of each key characteristic parameter and the degree of impact on the use of electromagnetic shielding conductive polymer materials are different after accelerated aging tests. Therefore, it is necessary to select the performance that is most sensitive to the actual use of the product to be evaluated (hereinafter referred to as the product). Based on this and combined with the actual use environment of the product, the service life of the product is calculated using the correspondence between the service life and the key stress type obtained in Step 2.

[0158] Furthermore, the electromagnetic shielding conductive polymer material in step one includes, but is not limited to, composite conductive polymers, structural conductive polymer materials, or multilayer composite conductive polymer materials of both.

[0159] Furthermore, if the conductive polymer material is a multilayer composite conductive polymer material composed of multilayer composite conductive polymer and multilayer structural conductive polymer, then after aging tests, it is necessary to identify the specific layer polymer material with the most sensitivity corresponding to the key stress type from the multilayer structure.

[0160] Furthermore, the key stress types in step one include, but are not limited to, temperature, humidity, xenon lamp irradiation, ultraviolet irradiation, salt spray, mechanical stress, and electrical stress.

[0161] Furthermore, in step one, the critical stress can be at least one of temperature and humidity values. That is, apart from temperature and humidity being variable, the other critical stress types, such as xenon lamp irradiation, ultraviolet irradiation, salt spray, mechanical stress, and electrical stress, are fixed.

[0162] Furthermore, the key characteristic parameters in step one include, but are not limited to, electromagnetic shielding effectiveness, electromagnetic wave reflection loss, electromagnetic wave absorption loss, characteristic impedance, reflection coefficient, conductivity, tensile strength, compressive strength, flexural strength, and impact strength.

[0163] Furthermore, in step one, for measuring key characteristic parameters, the number of standard samples in each group should be at least 5, and at least 3 groups of standard samples should be prepared for each key characteristic parameter to carry out tests at different stress levels.

[0164] Furthermore, in step one, each key performance parameter is measured at least once before the test, each key characteristic parameter is measured at least three times during the test, and each key characteristic parameter is measured at least once after the test, for a total of at least five key characteristic parameters, and the measurements are recorded.

[0165] Furthermore, the critical value of the key feature parameter in step one ranges from 10% to 1000% of the initial value of the key feature parameter.

[0166] Furthermore, the lifetime acceleration models used in step two are the Arrhenius model and the Peck model.

[0167] Furthermore, in step two, if the only key stress type that changes is temperature, the Arrhenius model is used.

[0168] Furthermore, in step two, if the key stress type changes simultaneously with temperature and humidity, the Peck model is used.

[0169] In this embodiment, by focusing on the proprietary characteristics of electromagnetic shielding materials, including electromagnetic shielding effectiveness, electromagnetic wave reflection loss, electromagnetic wave absorption loss, characteristic impedance, reflection coefficient, and conductivity, the lifetime of electromagnetic shielding conductive polymer materials can be predicted, thereby improving the accuracy of the prediction.

[0170] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0171] Based on the same inventive concept, this application also provides a material lifetime determination apparatus for implementing the material lifetime determination method described above. The solution provided by this apparatus is similar to the implementation scheme described in the above method; therefore, the specific limitations in one or more material lifetime determination apparatus embodiments provided below can be found in the limitations of the material lifetime determination method described above, and will not be repeated here.

[0172] In one embodiment, such as Figure 4 As shown, a material lifetime determination device 400 is provided, applied to electromagnetically shielded conductive polymer materials, including: an acquisition module 402 and a determination module 404, wherein:

[0173] The acquisition module 402 is used to acquire a first number of environmental parameters belonging to the same environmental stress, determine the preset frequency range corresponding to the target material, and divide the preset frequency range into a second number of continuous frequency sub-ranges.

[0174] The acquisition module 402 is also used to construct multiple sets of experimental parameters based on a first number of environmental parameters and a second number of frequency sub-ranges, wherein a set of experimental parameters includes an environmental parameter and a frequency sub-range.

[0175] The acquisition module 402 is also used to acquire the test results obtained by performing aging tests on the target material under each set of test parameters. The test results obtained from each aging test include the feature values ​​of multiple key features of the target material.

[0176] The determination module 404 is used to determine the target feature value corresponding to each key feature based on the feature value of the corresponding key feature obtained from aging tests corresponding to the same environmental parameters, thereby obtaining the target feature value corresponding to each key feature under each environmental parameter.

[0177] The determination module 404 is also used to determine the material life of the target material under the corresponding environmental parameters, based on the time period that each target characteristic value takes to reach the critical value for each environmental parameter.

[0178] The determination module 404 is also used to input each environmental parameter and the material lifetime corresponding to each environmental parameter into the lifetime acceleration model corresponding to the environmental stress to obtain the correspondence between the material lifetime and the environmental stress; the correspondence is used to determine the material lifetime of the target material under the target environmental parameters.

[0179] In one embodiment, the determining module 404 is further configured to, for each key feature, find the feature value of the corresponding key feature obtained from an aging test with the same environmental parameters, and filter out the feature values ​​that meet the preset conditions based on the size of the found feature values, and obtain the target feature value corresponding to the corresponding key feature based on the average value of the filtered feature values.

[0180] In one embodiment, several key characteristics of the target material include electromagnetic wave shielding effectiveness, electromagnetic wave reflection loss, electromagnetic wave absorption loss, characteristic impedance, reflection coefficient, and conductivity. The determining module 404 is further configured to, for each environmental parameter, define the time interval during which the target characteristic value of the electromagnetic wave shielding effectiveness of the target material decreases to a first critical value during the aging test as the aging test time for the electromagnetic wave shielding effectiveness under the corresponding environmental parameter; define the time interval during which the target characteristic value of the electromagnetic wave reflection loss of the target material decreases to a second critical value during the aging test as the aging test time for the electromagnetic wave reflection loss under the corresponding environmental parameter; define the time interval during which the target characteristic value of the electromagnetic wave absorption loss of the target material decreases to a third critical value during the aging test as the aging test time for the electromagnetic wave absorption loss under the corresponding environmental parameter; and define the time interval during the aging test... The time period during which the characteristic impedance of the target material increases to the fourth critical value during the aging test is taken as the aging test time of the characteristic impedance under the corresponding environmental parameters; the time period during which the target characteristic value of the reflection coefficient of the target material decreases to the fifth critical value during the aging test is taken as the aging test time of the reflection coefficient under the corresponding environmental parameters; the time period during which the target characteristic value of the conductivity of the target material decreases to the sixth critical value during the aging test is taken as the aging test time of the conductivity under the corresponding environmental parameters; based on the aging test time of electromagnetic wave shielding effectiveness, electromagnetic wave reflection loss, electromagnetic wave absorption loss, characteristic impedance, reflection coefficient, and conductivity under the corresponding environmental parameters, the material lifetime of the target material under the corresponding environmental parameters is determined.

[0181] In one embodiment, the determining module 404 is further configured to determine the sensitive characteristics of the target material from multiple key characteristics of the target material based on the aging test time of the electromagnetic wave shielding effectiveness, the aging test time of the electromagnetic wave reflection loss, the aging test time of the electromagnetic wave absorption loss, the aging test time of the characteristic impedance, the aging test time of the reflection coefficient, and the aging test time of the conductivity under the corresponding environmental parameters; and to take the aging test time corresponding to the sensitive characteristics under the corresponding environmental parameters as the material life of the target material under the corresponding environmental parameters.

[0182] In one embodiment, the correspondence includes a first functional relationship. The determining module 404 is further configured to, when the environmental stress is temperature, input at least three sets of environmental parameters and the material lifetime corresponding to each environmental parameter into a first lifetime acceleration model, wherein the first lifetime acceleration model is a function of material lifetime with respect to temperature; by transforming the first lifetime acceleration model, a fitted linear equation of material lifetime with respect to temperature is obtained; and by substituting at least three sets of environmental parameters and the material lifetime corresponding to each environmental parameter into the fitted linear equation, a first functional relationship between material lifetime and environmental stress is obtained.

[0183] In one embodiment, the correspondence includes a second functional relationship. The determining module 404 is further configured to, under the condition that the environmental stress is temperature and humidity, input at least four sets of environmental parameters and the material lifetime corresponding to each environmental parameter into a second lifetime acceleration model, wherein the second lifetime acceleration model is a function of material lifetime with respect to temperature and humidity; by transforming the second lifetime acceleration model, a fitting plane equation of material lifetime with respect to temperature and humidity is obtained; and by substituting at least four sets of environmental parameters and the material lifetime corresponding to each environmental parameter into the fitting plane equation, a second functional relationship between material lifetime and environmental stress is obtained.

[0184] In one embodiment, the electromagnetic shielding conductive polymer material includes a composite conductive polymer material, a structural conductive polymer material, or a multilayer composite conductive polymer material.

[0185] Each module in the aforementioned material life determination device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the operations corresponding to each module.

[0186] In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 5As shown, the computer device includes a processor, memory, input / output interface, communication interface, display unit, and input device. The processor, memory, and input / output interface are connected via a system bus, and the communication interface, display unit, and input device are also connected to the system bus via the input / output interface. The processor provides computational and control capabilities. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage medium. The input / output interface is used for exchanging information between the processor and external devices. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, NFC (Near Field Communication), or other technologies. When executed by the processor, the computer program implements a method for determining material lifetime. The display unit of the computer device is used to form a visually visible image. It can be a display screen, a projection device, or a virtual reality imaging device. The display screen can be an LCD screen or an e-ink screen. The input device of the computer device can be a touch layer covering the display screen, or buttons, trackballs, or touchpads set on the casing of the computer device, or external keyboards, touchpads, or mice, etc.

[0187] Those skilled in the art will understand that Figure 5 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0188] In one embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above-described method embodiments.

[0189] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps in the above method embodiments.

[0190] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above method embodiments.

[0191] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0192] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0193] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for determining material life, characterized in that, The method, applied to electromagnetic shielding conductive polymer materials, includes: Obtain a first number of environmental parameters belonging to the same environmental stress, determine a preset frequency range corresponding to the target material, and divide the preset frequency range into a second number of consecutive frequency sub-ranges; Based on the first number of environmental parameters and the second number of frequency sub-ranges, multiple sets of experimental parameters are constructed, wherein a set of experimental parameters includes an environmental parameter and a frequency sub-range; The test results are obtained by conducting aging tests on the target material under various test parameters. The test results obtained from each aging test include the feature values ​​of multiple key characteristics of the target material. For each key feature, based on the feature value of the corresponding key feature obtained from aging tests corresponding to the same environmental parameters, the target feature value corresponding to the corresponding key feature is determined, thus obtaining the target feature value corresponding to each key feature under each environmental parameter; For each environmental parameter, the material life of the target material under the corresponding environmental parameter is determined based on the time period during which each of the target characteristic values ​​reaches the critical value. Each environmental parameter and the corresponding material lifetime are input into the lifetime acceleration model corresponding to the environmental stress to obtain the correspondence between material lifetime and environmental stress; the correspondence is used to determine the material lifetime of the target material under the target environmental parameters. For each key feature, the target feature value corresponding to the corresponding key feature is determined based on the feature value of the corresponding key feature obtained from aging tests corresponding to the same environmental parameters, including: For each key feature, find the feature value of the corresponding key feature obtained from aging tests with the same environmental parameters, and select the feature values ​​that meet the preset conditions based on the magnitude of the found feature values. Based on the average value of the selected feature values, the target feature value corresponding to the corresponding key feature is obtained; The target material possesses several key characteristics, including electromagnetic wave shielding effectiveness, electromagnetic wave reflection loss, electromagnetic wave absorption loss, characteristic impedance, reflection coefficient, and conductivity. For each environmental parameter, the material lifetime of the target material under the corresponding environmental parameter is determined based on the time intervals during which each of the target characteristic values ​​reaches a critical value, including: Based on the aging test time of the electromagnetic wave shielding effectiveness, the aging test time of the electromagnetic wave reflection loss, the aging test time of the electromagnetic wave absorption loss, the aging test time of the characteristic impedance, the aging test time of the reflection coefficient, and the aging test time of the conductivity under corresponding environmental parameters, the sensitive characteristics of the target material are determined from multiple key characteristics of the target material. The aging test time corresponding to the sensitive characteristics under the corresponding environmental parameters shall be taken as the material life of the target material under the corresponding environmental parameters.

2. The method according to claim 1, characterized in that, The process of determining the time intervals during which each of the target feature values ​​reaches its critical value includes: For each environmental parameter, the time period during which the target characteristic value of the electromagnetic wave shielding effectiveness of the target material decreases to the first critical value during the aging test is taken as the aging test time of the electromagnetic wave shielding effectiveness under the corresponding environmental parameter. The time period during which the target characteristic value of the electromagnetic wave reflection loss of the target material is reduced to the second critical value during the aging test is taken as the aging test time of the electromagnetic wave reflection loss under the corresponding environmental parameters. The time period during which the target characteristic value of the electromagnetic wave absorption loss of the target material is reduced to the third critical value during the aging test is taken as the aging test time of the electromagnetic wave absorption loss under the corresponding environmental parameters. The time period during which the characteristic value of the characteristic impedance of the target material increases to the fourth critical value during the aging test is taken as the aging test time of the characteristic impedance under the corresponding environmental parameters. The time period during which the target characteristic value of the reflectance coefficient of the target material decreases to the fifth critical value during the aging test is taken as the aging test time of the reflectance coefficient under the corresponding environmental parameters. The time period during which the target characteristic value of the electrical conductivity of the target material decreases to the sixth critical value during the aging test is taken as the aging test time of the electrical conductivity under the corresponding environmental parameters.

3. The method according to claim 1, characterized in that, The correspondence includes a first functional relationship, wherein the process of inputting each environmental parameter and the material lifetime corresponding to each environmental parameter into a lifetime acceleration model corresponding to the environmental stress to obtain the correspondence between material lifetime and environmental stress includes: When the environmental stress is temperature, at least three sets of environmental parameters and the material lifetime corresponding to each environmental parameter are input into a first lifetime acceleration model, whereby the first lifetime acceleration model is a function of material lifetime with respect to temperature. By transforming the first lifetime acceleration model, a fitted linear equation of material lifetime with respect to temperature is obtained; by substituting the at least three sets of environmental parameters and the material lifetime corresponding to each environmental parameter into the fitted linear equation, a first functional relationship between material lifetime and environmental stress is obtained.

4. The method according to claim 1, characterized in that, The correspondence includes a second functional relationship, wherein the correspondence between material lifetime and environmental stress is obtained by inputting each environmental parameter and the corresponding material lifetime into a lifetime acceleration model corresponding to the environmental stress, including: When the environmental stress is temperature and humidity, at least four sets of environmental parameters and the material lifetime corresponding to each environmental parameter are input into the second lifetime acceleration model, which is a function of material lifetime with respect to temperature and humidity. By transforming the second lifetime acceleration model, a fitted plane equation for the material lifetime with respect to temperature and humidity is obtained; by substituting the at least four sets of environmental parameters and the material lifetime corresponding to each environmental parameter into the fitted plane equation, a second functional relationship between the material lifetime and environmental stress is obtained.

5. The method according to any one of claims 1 to 4, characterized in that, The electromagnetic shielding conductive polymer material includes composite conductive polymer materials, structural conductive polymer materials, or multilayer composite conductive polymer materials.

6. A material life determination device, characterized in that, The device is applied to electromagnetically shielded conductive polymer materials, including: The acquisition module is used to acquire a first number of environmental parameters belonging to the same environmental stress, determine a preset frequency range corresponding to the target material, and divide the preset frequency range into a second number of consecutive frequency sub-ranges. The acquisition module is further configured to construct multiple sets of experimental parameters based on the first number of environmental parameters and the second number of frequency sub-ranges, wherein a set of experimental parameters includes an environmental parameter and a frequency sub-range; The acquisition module is also used to acquire the test results obtained by performing aging tests on the target material under each set of test parameters. The test results obtained from each aging test include the feature values ​​of multiple key features of the target material. The determination module is used to determine the target feature value corresponding to each key feature based on the feature value of the corresponding key feature obtained from aging tests corresponding to the same environmental parameters, thereby obtaining the target feature value corresponding to each key feature under each environmental parameter. The determining module is further configured to determine the material life of the target material under the corresponding environmental parameter based on the time period during which each of the target feature values ​​reaches the critical value for each environmental parameter. The determining module is further configured to input each environmental parameter and the material lifetime corresponding to each environmental parameter into the lifetime acceleration model corresponding to the environmental stress, so as to obtain the correspondence between the material lifetime and the environmental stress; the correspondence is used to determine the material lifetime of the target material under the target environmental parameters. The determining module is further configured to, for each key feature, find the feature value of the corresponding key feature obtained from aging tests with the same environmental parameters, and filter out the feature values ​​that meet the preset conditions based on the magnitude of the found feature values; and obtain the target feature value corresponding to the corresponding key feature based on the average value of the filtered feature values. The target material has several key characteristics, including electromagnetic wave shielding effectiveness, electromagnetic wave reflection loss, electromagnetic wave absorption loss, characteristic impedance, reflection coefficient, and conductivity. The determining module is further configured to determine the sensitive characteristics of the target material from these key characteristics based on the aging test times for the electromagnetic wave shielding effectiveness, electromagnetic wave reflection loss, electromagnetic wave absorption loss, characteristic impedance, reflection coefficient, and conductivity under corresponding environmental parameters. The aging test time corresponding to the sensitive characteristics under the corresponding environmental parameters is taken as the material lifetime of the target material under the corresponding environmental parameters.

7. The apparatus according to claim 6, characterized in that, The determining module is further configured to, for each environmental parameter, take the time period during which the target characteristic value of the electromagnetic wave shielding effectiveness of the target material decreases to a first critical value during the aging test as the aging test time of the electromagnetic wave shielding effectiveness under the corresponding environmental parameter. The time interval during which the target characteristic value of the electromagnetic wave reflection loss of the target material decreases to the second critical value during the aging test is taken as the aging test time for the electromagnetic wave reflection loss under the corresponding environmental parameters; the time interval during which the target characteristic value of the electromagnetic wave absorption loss of the target material decreases to the third critical value during the aging test is taken as the aging test time for the electromagnetic wave absorption loss under the corresponding environmental parameters; the time interval during which the target characteristic value of the characteristic impedance of the target material increases to the fourth critical value during the aging test is taken as the aging test time for the characteristic impedance under the corresponding environmental parameters; the time interval during which the target characteristic value of the reflection coefficient of the target material decreases to the fifth critical value during the aging test is taken as the aging test time for the reflection coefficient under the corresponding environmental parameters; and the time interval during which the target characteristic value of the conductivity of the target material decreases to the sixth critical value during the aging test is taken as the aging test time for the conductivity under the corresponding environmental parameters.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 5.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 5.

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