Metal support, non-metallic material gas permeability performance parameter testing device based thereon and correction method

Abstract

The present application relates to the technical field of permeability testing, and discloses a metal support, a non-metallic material gas permeability performance parameter testing device based on the metal support, and a correction method, which are suitable for cooperating with a high-pressure chamber and a low-pressure chamber to measure the performance parameters of non-metallic materials. The metal support is placed between the high-pressure chamber and the low-pressure chamber, and is used to support the non-metallic material; the metal support includes at least one of a metal sintered sheet, a metal wire mesh, or a metal porous sheet; the metal support is prepared based on standard configuration parameters. In the process of measuring the performance parameters of non-metallic materials, the metal support prepared according to the standard configuration parameters generates ideal gas transmission performance parameters that match the standard configuration parameters for multiple groups of gas permeation tests of the test samples, and the ideal gas transmission performance parameters are used to correct the gas transmission performance parameters of the test samples. The beneficial effect is to optimize the evaluation of gas transmission performance parameters and improve the accuracy of experimental results.

Description

Technical Field

[0001] The present application relates to the technical field of permeability testing, and in particular to a metal support, a non-metallic material gas permeability parameter testing device based thereon, and a correction method. Background Art

[0002] As environmental problems and energy shortages become increasingly serious, hydrogen energy, as a clean secondary energy source, has attracted worldwide attention for its industrial development. In the hydrogen energy industry chain, hydrogen energy storage and transportation are key links. Currently, the most widely used hydrogen energy storage method is high-pressure gas storage, in which the airtightness and safety of hydrogen storage are crucial.

[0003] Non-metallic materials such as polyethylene and rubber are widely used in high-pressure hydrogen systems due to their excellent corrosion resistance, light weight and economy. Polyethylene and its reinforced composite materials are often used in non-metallic gas pipelines and gas cylinder liners, while rubber is often used as O-rings for compressors, flange connections, various valves and distribution hoses. In these applications, the measurement of gas transmission parameters (P, D, S) of non-metallic materials is crucial to determine their gas permeability. These parameters directly affect the performance degradation of the material, which may lead to material breakage, gas leakage or even explosion, thus seriously affecting transportation efficiency and safety.

[0004] Therefore, in high-pressure gas devices, determining the gas transmission parameters of non-metallic materials helps to ensure the gas permeability of the sealing device and the high-pressure gas durability of non-metallic components. The effective test method is the pressure difference method, and metal supports are required to prevent the sample from deforming due to pressure difference. The related art does not consider the effect of metal supports on hydrogen permeation, resulting in differences between the test results and the actual situation. Summary of the invention

[0005] The present application provides a metal support, a non-metallic material gas permeability performance parameter testing device based thereon, and a correction method, which solves the technical problem that in the existing high-pressure gas transmission performance test, the influence of the metal support on the gas permeability is not accurately considered, resulting in the test results not being consistent with the actual situation, and achieves the technical effect of optimizing the evaluation of gas transmission performance parameters and improving the accuracy of experimental results.

[0006] In order to achieve the above objectives, the main technical solutions adopted in this application include:

[0007] In a first aspect, an embodiment of the present application provides a metal support member, which is suitable for cooperating with a high-pressure chamber and a low-pressure chamber to measure performance parameters of non-metallic materials, wherein the metal support member is placed between the high-pressure chamber and the low-pressure chamber, and is used to support the non-metallic material;

[0008] The metal support member includes at least one of a metal sintered sheet, a metal mesh or a metal porous sheet; the metal support member is prepared based on standard configuration parameters, and the standard configuration parameters of the metal support member are configured in the following manner:

[0009] For the metal sintered sheet, the standard configuration parameters include absolute filtration accuracy ≤ 150μm, air permeability ≥ 5m 3 / (h·kPa·m 2 ), porosity ≥ 20%, compressive strength ≥ 2MPa;

[0010] For the metal wire mesh, the standard configuration parameters include an opening rate range of 20-90%, a metal wire diameter of 0.01-4 mm, and a mesh weight per unit area of ​​0.1-3.2 kg / m 2 ;

[0011] For the metal porous sheet, the standard configuration parameters include a hole area ratio of ≤60%;

[0012] During the process of measuring the performance parameters of non-metallic materials, the metal support prepared according to the standard configuration parameters generates ideal gas transmission performance parameters matching the standard configuration parameters for multiple groups of gas permeation tests on the test samples. The ideal gas transmission performance parameters are used to correct the gas transmission performance parameters of the test samples.

[0013] A metal support provided in this embodiment is used between a high-pressure chamber and a low-pressure chamber to effectively support non-metallic materials and ensure the stability of the test sample, thereby improving the accuracy of gas permeability performance measurement. By conducting multiple groups of gas permeation tests, ideal gas transmission performance parameters can be generated to correct the actual measured parameters. The metal support includes a metal sintered sheet, a metal wire mesh, and a metal porous sheet. The metal sintered sheet has high compressive strength (≥2MPa) to ensure stability under high pressure environments, while its filtration accuracy (≤150μm) effectively removes gas impurities and ensures the purity of the measurement. In addition, the porosity and pore area of ​​the metal wire mesh and the porous sheet are adjustable to further control the gas flow characteristics. These technical effects comprehensively improve the accuracy, stability and reliability of the measurement of performance parameters of non-metallic materials.

[0014] Optionally, the penetration diameter of the metal support is 10-150 mm, and the thickness of the metal support is greater than 1 mm.

[0015] This embodiment ensures that the resistance to gas flow is reduced and the gas permeability is improved through a larger permeation diameter, so that it passes through the metal support more smoothly. At the same time, the thickness of the metal support improves the compressive strength and thermal stability of the material, making it perform better under high pressure and high temperature conditions. Taking the permeation diameter and thickness into consideration, the gas transmission performance can be accurately characterized and corrected, so that the ideal gas transmission performance parameters corresponding to the test sample can be generated, which can be used to correct the gas transmission performance parameters of the test sample and improve accuracy.

[0016] Optionally, when the absolute filtering accuracy of the metal sintered sheet is 1-100 μm, the metal sintered sheet is made of metal powder;

[0017] When the absolute filtering accuracy of the metal sintered sheet is 101-150 μm, the metal sintered sheet is made of a metal mesh.

[0018] The metal sintered sheet made of metal powder in this embodiment can achieve a high filtration accuracy of 1-100μm, which is suitable for scenes requiring fine filtration. The metal sintered sheet made of metal mesh provides larger pores, allowing gas to flow faster, so its absolute filtration accuracy is in the range of 101-150μm, which is suitable for filtering larger particles. This embodiment can optimize the balance between filtration accuracy and gas flow efficiency.

[0019] Optionally, the pore diameters of the porous metal sheet are consistent;

[0020]

[0021]

[0022] in, is the pore area of ​​the porous metal sheet; is the hole area of ​​the metal sintered sheet or metal wire mesh; n is the number of holes, d a is the hole diameter, r is the characteristic scale, which characterizes the characteristics of the hole, M is the fractal dimension, which characterizes the slope of the straight line obtained by taking the logarithm of the hole area and the characteristic scale, and C is the proportional constant.

[0023] In this embodiment, the hole diameter of the metal porous sheet is consistent, making the hole area calculation simpler and more intuitive. The uniformity of the holes helps to ensure the consistency of the channels, thereby improving the predictability and stability of the overall performance and reducing the unevenness of the local gas flow or the resistance difference. For metal sintered sheets or metal wire meshes, the hole area and filtering effect can be adjusted by controlling the characteristic scale and fractal dimension, thereby optimizing the performance of the material to meet specific application requirements.

[0024] Optionally, the ideal gas transmission performance parameter is determined based on the following method:

[0025] The test samples are arranged on the metal supports with different pore areas, and multiple groups of gas permeation tests are performed on the test samples to obtain pressure-time variation permeation curves corresponding to the test samples with different pore areas;

[0026] Based on the pressure-time variation permeation curve, generating a test gas transmission performance parameter corresponding to the test sample;

[0027] Determine an ideal gas transmission performance parameter corresponding to the test gas transmission performance parameter.

[0028] The method for determining the ideal gas transmission performance parameters provided in this embodiment is to set the test samples on the metal support with different pore areas, conduct multiple groups of gas permeation tests, and obtain the pressure-time variation permeation curves under different pore areas. This process enables the experiment to systematically evaluate the gas permeation characteristics of the material under different conditions. Based on these permeation curves, the gas transmission performance parameters of the test samples are further generated, thereby providing important data support for subsequent analysis. Finally, by determining the relationship between these performance parameters and the ideal gas transmission performance parameters, the gap between the actual performance of the test samples and the ideal state can be effectively evaluated. This helps to improve the accuracy and reliability of the data. These combined effects of this embodiment can comprehensively optimize the evaluation of gas transmission performance parameters and improve the accuracy of experimental results.

[0029] Optionally, the test gas transmission performance parameters include a test permeability coefficient, a test diffusion coefficient and a test solubility coefficient; and the generating of the test gas transmission performance parameters corresponding to the test sample based on the pressure-time variation permeability curve includes:

[0030] Determining the gas mass change rate and lag time corresponding to the test sample according to the pressure-time change permeation curve;

[0031] Determining the test permeability coefficient corresponding to the test sample according to the gas mass change rate and the obtained gas transmission rate;

[0032] Determining the test diffusion coefficient corresponding to the test sample according to the lag time and the thickness of the test sample;

[0033] The test solubility coefficient corresponding to the test sample is determined according to the permeability coefficient and the diffusion coefficient.

[0034] By analyzing the permeation curve of pressure-time change, this embodiment can accurately determine the gas mass change rate and lag time, thereby obtaining the gas transmission characteristics of the test sample. Using the gas mass change rate and gas transmission rate, the test permeability coefficient of the sample can be accurately calculated, reflecting the permeability of the test sample to gas. Combining the lag time and the thickness of the test sample, the diffusion coefficient of the test sample is calculated to describe the diffusion behavior of the gas in the test sample. Combining the permeability coefficient and diffusion coefficient, the solubility coefficient of the test sample can be further determined to provide the overall solubility performance of the test sample to gas.

[0035] Optionally, the test permeability coefficient is:

[0036]

[0037]

[0038] Where P is the test permeability coefficient, mol / (m·s·Pa); d is the thickness of the test sample, m; GTR is the gas transmission rate, mol / (m 2 ·s·Pa); V C is the volume of the low pressure chamber, m 3 ; T is the test temperature, K; P H is the gas pressure in the high pressure chamber, Pa; A0 is the area of ​​the metal support, m 2 ; dp / dt is the gas mass change rate, Pa / s; R is the gas constant, R=8.31m 3 ·Pa / (K·mol);

[0039] The test diffusion coefficient is:

[0040]

[0041] Where D is the test diffusion coefficient, m 2 / s; θ is the lag time;

[0042] The test solubility coefficient is:

[0043]

[0044] Where S is the test solubility coefficient, mol / (m 3 ·pa).

[0045] Optionally, the determining of an ideal gas transmission performance parameter corresponding to the test gas transmission performance parameter comprises:

[0046] Determining the relative standard deviation corresponding to the test gas transmission performance parameter;

[0047] When the relative standard deviation is less than 10%, the average value corresponding to the test gas transmission performance parameter is determined as the ideal gas transmission performance parameter;

[0048] When the relative standard deviation is greater than or equal to 10%, constructing a curve of the test gas transmission performance parameter changing with the hole area of ​​the metal support;

[0049] The variation curve is fitted, and when the hole area and the corresponding metal support area in the fitted variation curve meet preset values, the test gas transmission performance parameter corresponding to the preset value is determined as the ideal gas transmission performance parameter.

[0050] This embodiment can evaluate the consistency and reliability of the data by determining the relative standard deviation of the test gas transmission performance parameters. If the relative standard deviation is less than 10%, it indicates that the variability of the test data is small. At this time, the average value of the test gas transmission performance parameters can be used as the ideal gas transmission performance parameters, thereby providing a stable and reliable reference value. When the relative standard deviation is greater than or equal to 10%, the trend and dependency of the data can be further analyzed by constructing a change curve between the test gas transmission performance parameters and the metal support hole area. By fitting the change curve and finding the point in the curve where the hole area and the metal support area meet the preset value, the corresponding gas transmission performance parameter is used as the ideal value, which can effectively deal with the inconsistency of the data and improve the accuracy and reliability of the gas transmission performance parameters.

[0051] Optionally, the ideal gas transmission performance parameter is also used to generate a correction model corresponding to the metal support to be corrected, and the correction model is generated based on the following method:

[0052] The test samples are placed on the metal supports to be corrected with different pore areas, and multiple groups of gas permeation tests are performed on the test samples to obtain the measured gas transmission performance parameters corresponding to the test samples;

[0053] Normalizing the measured gas transmission performance parameter according to the ideal gas transmission performance parameter to obtain a dimensionless gas transmission performance parameter;

[0054] Using power function fitting to establish the relationship between the dimensionless gas transmission performance parameter and the acquired dimensionless variable to obtain a power function model;

[0055] The power function model is fitted using the least square method to obtain fitting coefficients;

[0056] The power function model is updated according to the fitting coefficient to obtain the correction model corresponding to the metal support to be corrected.

[0057] In the generation method of the correction model provided in the embodiment of the present application, dimensionless gas transmission performance parameters can be obtained by using the ideal gas transmission performance parameters to normalize the measured gas transmission performance parameters of the test sample corresponding to the metal support to be corrected. It is possible to eliminate the unit and dimension effects of different test conditions, so that the data can be compared under the same standard, thereby improving the comparability and consistency of the data. The relationship between the dimensionless gas transmission performance parameters and the dimensionless variables is established using power function fitting, and a power function model is obtained to provide a model basis for further analysis. The power function model is fitted using the least squares method to obtain the fitting coefficient, so that the power function model can more accurately reflect the relationship between the actual data and improve the accuracy and reliability of the model. Finally, the power function model is updated according to the fitting coefficient to obtain the target parameter correction model, so that it can better adapt to the actual data, thereby improving the prediction accuracy and application effect of the target parameter.

[0058] Optionally, the ideal gas transport performance parameters include an ideal permeability coefficient, an ideal diffusion coefficient and an ideal solubility coefficient; the measured gas transport performance parameters include a measured permeability coefficient, a measured diffusion coefficient and a measured solubility coefficient; the dimensionless gas transport performance parameters are:

[0059]

[0060]

[0061]

[0062] Among them, P is the measured permeability coefficient, D is the measured diffusion coefficient, S is the measured solubility coefficient, P0 is the ideal permeability coefficient, D0 is the ideal diffusion coefficient, and S0 is the ideal solubility coefficient.

[0063] Optionally, the power function model is:

[0064]

[0065]

[0066]

[0067]

[0068]

[0069]

[0070] Among them, p*, d* and is a dimensionless variable, p* is the corrected pressure, d* is the corrected penetration distance, is the corrected pore area, p is the test pressure, p0 is the ideal pressure 0-140MPa, d is the thickness of the test sample, d0 is the ideal penetration distance, A p is the hole area of ​​the metal support to be corrected, A0 is the area of ​​the metal support to be corrected, is the fitting coefficient.

[0071] Optionally, the target gas transmission performance parameter is obtained after the gas transmission performance parameter of the test sample is corrected, and the target gas transmission performance parameter is determined in the following manner:

[0072] Acquire the test pressure, the thickness of the test sample and the hole area of ​​the metal support to be corrected, and generate correction parameters using the correction model;

[0073] The target gas transmission performance parameter of the test sample is generated according to the measured gas transmission performance parameter and the correction parameter.

[0074] This embodiment obtains the test pressure, the thickness of the test sample and the hole area of ​​the metal support to be corrected, and uses the correction model to generate correction parameters, which can effectively eliminate the influence of external factors on the gas transmission data, thereby improving the accuracy of the experimental results. Based on the measured gas transmission performance parameters and correction parameters, the target gas transmission performance parameters are generated to improve the accuracy of the gas transmission performance parameters of non-metallic materials.

[0075] In a second aspect, an embodiment of the present application provides a non-metallic material performance parameter testing device including the metal support member described above, the testing device comprising:

[0076] A permeation unit, comprising a permeation chamber and an environmental chamber, wherein the permeation chamber is arranged in the environmental chamber, a test sample is arranged on the metal support with different pore areas and the permeation chamber is divided into a high-pressure chamber and a low-pressure chamber;

[0077] An air intake unit, comprising an air storage tank, a compressor and a buffer tank, wherein the air storage tank, the compressor and the buffer tank are connected by a pipeline, the compressor passes the test gas from the air storage tank into the buffer tank, and the buffer tank passes the test gas into the permeation unit;

[0078] a temperature control unit, including a refrigerator and a heating block, for adjusting the temperature in the environmental chamber;

[0079] The detection unit comprises a sensor for detecting the gas in the permeation unit.

[0080] The present embodiment provides a testing device for the performance parameters of non-metallic materials, in which the permeation chamber is divided into a high-pressure chamber and a low-pressure chamber, which can accurately simulate the permeation process of gas from high pressure to low pressure. This separation design enables the test to be carried out under a controllable pressure difference to measure the gas permeability of the sample. The temperature control unit can control the temperature range in the environmental chamber, ensure that the test is carried out under various temperature conditions, and simulate the gas permeation behavior in the actual use environment. Through the gas storage tank, compressor and buffer tank in the air intake unit, it is ensured that the test gas can enter the permeation unit efficiently and stably. The sensor in the detection unit can detect the gas state in the permeation unit in real time, so that the gas pressure or flow change can be accurately recorded, thereby accurately calculating the gas permeation performance parameters.

[0081] Optionally, the permeation chamber includes a high-pressure chamber and a low-pressure chamber, the lower end surface of the high-pressure chamber is provided with a lower annular groove, the lower annular groove is embedded with a high-pressure chamber sealing ring, the upper end surface of the low-pressure chamber is provided with an upper annular groove, the upper annular groove is embedded with a low-pressure chamber sealing ring, and the metal support is placed between the high-pressure chamber sealing ring and the low-pressure chamber sealing ring to support the non-metallic material;

[0082] The high-pressure chamber and the low-pressure chamber tightly fit the metal support and the non-metallic material through fasteners.

[0083] In a third aspect, an embodiment of the present application provides a method for correcting performance parameters of a non-metallic material, the method using the metal support described above or being applied to the testing device described above, the correction method comprising:

[0084] The metal support members with different pore areas are provided with test samples, and multiple groups of gas permeation tests are performed on the test samples to obtain pressure-time variation permeation curves corresponding to the test samples with different pore areas;

[0085] Based on the pressure-time variation permeation curve, generating a test gas transmission performance parameter corresponding to the test sample;

[0086] Determining an ideal gas transmission performance parameter corresponding to the test gas transmission performance parameter;

[0087] The gas transmission performance parameters of the test sample are corrected according to the ideal gas transmission performance parameters to obtain target gas transmission performance parameters.

[0088] Optionally, the test gas transmission performance parameters include a test permeability coefficient, a test diffusion coefficient and a test solubility coefficient; and the generating of the test gas transmission performance parameters corresponding to the test sample based on the pressure-time variation permeability curve includes:

[0089] Determining the gas mass change rate and lag time corresponding to the test sample according to the pressure-time change permeation curve;

[0090] Determining the test permeability coefficient corresponding to the test sample according to the gas mass change rate and the obtained gas transmission rate;

[0091] Determining the test diffusion coefficient corresponding to the test sample according to the lag time and the thickness of the test sample;

[0092] The test solubility coefficient corresponding to the test sample is determined according to the permeability coefficient and the diffusion coefficient.

[0093] Optionally, the test permeability coefficient is:

[0094]

[0095]

[0096] Where P is the test permeability coefficient, mol / (m·s·Pa); d is the thickness of the test sample, m; GTR is the gas transmission rate, mol / (m 2 ·s·Pa); V C is the volume of the low pressure chamber, m 3 ; T is the test temperature, K; P H is the gas pressure of the high pressure chamber, Pa; A0 is the area of ​​the metal support, m 2 ; dp / dt is the gas mass change rate, Pa / s; R is the gas constant, R=8.31m 3 ·Pa / (K·mol);

[0097] The test diffusion coefficient is:

[0098]

[0099] Where D is the test diffusion coefficient, m 2 / s; θ is the lag time;

[0100] The test solubility coefficient is:

[0101]

[0102] Where S is the test solubility coefficient, mol / (m 3 ·pa).

[0103] Optionally, the determining of an ideal gas transmission performance parameter corresponding to the test gas transmission performance parameter comprises:

[0104] Determining the relative standard deviation corresponding to the test gas transmission performance parameter;

[0105] When the relative standard deviation is less than 10%, the average value corresponding to the test gas transmission performance parameter is determined as the ideal gas transmission performance parameter;

[0106] When the relative standard deviation is greater than or equal to 10%, constructing a curve of the test gas transmission performance parameter changing with the hole area of ​​the metal support;

[0107] The variation curve is fitted, and when the hole area and the corresponding metal support area in the fitted variation curve meet preset values, the test gas transmission performance parameter corresponding to the preset value is determined as the ideal gas transmission performance parameter.

[0108] Optionally, the correcting the gas transmission performance parameter of the test sample according to the ideal gas transmission performance parameter to obtain the target gas transmission performance parameter includes:

[0109] Generate a correction model corresponding to the metal support to be corrected according to the ideal gas transmission performance parameters;

[0110] The gas transmission performance parameters of the test sample are corrected according to the correction model to obtain the target gas transmission performance parameters.

[0111] Optionally, generating a correction model corresponding to the metal support to be corrected according to the ideal gas transmission performance parameter includes:

[0112] The test samples are placed on the metal supports to be corrected with different pore areas, and multiple groups of gas permeation tests are performed on the test samples to obtain the measured gas transmission performance parameters corresponding to the test samples;

[0113] Normalizing the measured gas transmission performance parameter according to the ideal gas transmission performance parameter to obtain a dimensionless gas transmission performance parameter;

[0114] Using power function fitting to establish the relationship between the dimensionless gas transmission performance parameter and the acquired dimensionless variable to obtain a power function model;

[0115] The power function model is fitted using the least square method to obtain fitting coefficients;

[0116] The power function model is updated according to the fitting coefficient to obtain the correction model corresponding to the metal support to be corrected.

[0117] Optionally, the ideal gas transport performance parameters include an ideal permeability coefficient, an ideal diffusion coefficient and an ideal solubility coefficient; the measured gas transport performance parameters include a measured permeability coefficient, a measured diffusion coefficient and a measured solubility coefficient; the dimensionless gas transport performance parameters are:

[0118]

[0119]

[0120]

[0121] Among them, P is the measured permeability coefficient, D is the measured diffusion coefficient, S is the measured solubility coefficient, P0 is the ideal permeability coefficient, D0 is the ideal diffusion coefficient, and S0 is the ideal solubility coefficient.

[0122] Optionally, the power function model is:

[0123]

[0124]

[0125]

[0126]

[0127]

[0128]

[0129] Among them, p*, d* and is a dimensionless variable, p* is the corrected pressure, d* is the corrected penetration distance, is the corrected pore area, p is the test pressure, p0 is the ideal pressure 0-140MPa, d is the thickness of the test sample, d0 is the ideal penetration distance, A p is the hole area of ​​the metal support to be corrected, A0 is the area of ​​the metal support to be corrected, is the fitting coefficient.

[0130] Optionally, the correcting the gas transmission performance parameter of the test sample according to the correction model to obtain the target gas transmission performance parameter includes:

[0131] Acquire the test pressure, the thickness of the test sample and the hole area of ​​the metal support to be corrected, and generate correction parameters using the correction model;

[0132] The target gas transmission performance parameter of the test sample is generated according to the measured gas transmission performance parameter and the correction parameter. BRIEF DESCRIPTION OF THE DRAWINGS

[0133] In order to more clearly illustrate the specific implementation methods of the present application or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0134] Figure 1 A flow chart of a method for determining the ideal gas transmission performance parameters provided in an embodiment of the present application;

[0135] Figure 2 A flowchart of step S3 provided in an embodiment of the present application;

[0136] Figure 3 A flowchart of step S5 provided in an embodiment of the present application;

[0137] Figure 4 A graph showing the variation of the test gas transmission performance parameters with the hole area of ​​the metal support provided in the embodiment of the present application;

[0138] Figure 5 A flowchart of a method for generating a correction model provided in an embodiment of the present application;

[0139] Figure 6 A flow chart of a method for determining target gas transmission performance parameters provided in an embodiment of the present application;

[0140] Figure 7 A schematic diagram of a testing device for performance parameters of non-metallic materials provided in an embodiment of the present application;

[0141] Figure 8 A schematic diagram of an infiltration chamber provided in an embodiment of the present application;

[0142] Fig. 9 A flowchart of a method for correcting performance parameters of non-metallic materials provided in an embodiment of the present application;

[0143] Fig.10 The pressure-time variation permeation curve provided for the application example of the present application.

[0144] Description of Reference Numerals

[0145] 10-metal support, 20-support non-metallic material, 11-permeation chamber, 111-high-pressure chamber, 1111-lower annular groove, 112-low-pressure chamber, 1121-upper annular groove, 12-environmental chamber, 101-high-pressure chamber sealing ring, 102-low-pressure chamber sealing ring, 21 gas storage tank, 22-compressor, 23-buffer tank, 31-refrigerator, 32-heating block, 41-sensor. DETAILED DESCRIPTION

[0146] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present application.

[0147] In the current related technology, the non-metallic material high-pressure gas transmission performance parameter test device and method based on the pressure difference method found that during the test, in order to prevent the test sample from deforming under the pressure difference, the metal support used will affect the gas permeability. Most of the gas transmission performance parameter test methods of non-metallic materials do not consider the influence of metal supports and cannot effectively reflect the actual situation of gas permeation of the sealing ring under high-pressure environment.

[0148] Based on this, according to the inherent property that the gas transmission parameters of the same material remain unchanged, a metal support and a non-metallic material gas permeability performance parameter testing device and correction method based on it were designed, and a correction model for the calculation of gas transmission performance parameters was given to help judge the sealing safety of high-pressure gas storage and transportation equipment.

[0149] According to an embodiment of the present application, a metal support member embodiment is provided, which is suitable for cooperating with a high-pressure chamber and a low-pressure chamber to measure performance parameters of non-metallic materials, wherein the metal support member is placed between the high-pressure chamber and the low-pressure chamber and is used to support the non-metallic material;

[0150] The metal support member includes at least one of a metal sintered sheet, a metal mesh or a metal porous sheet; the metal support member is prepared based on standard configuration parameters, and the standard configuration parameters of the metal support member are configured in the following manner:

[0151] For the metal sintered sheet, the standard configuration parameters include absolute filtration accuracy ≤ 150μm, air permeability ≥ 5m 3 / (h·kPa·m 2 ), porosity ≥ 20%, compressive strength ≥ 2MPa;

[0152] For the metal wire mesh, the standard configuration parameters include an opening rate range of 20-90%, a metal wire diameter of 0.01-4 mm, and a mesh weight per unit area of ​​0.1-3.2 kg / m 2 ;

[0153] For the metal porous sheet, the standard configuration parameters include a hole area ratio of ≤60%;

[0154] During the process of measuring the performance parameters of non-metallic materials, the metal support prepared according to the standard configuration parameters generates ideal gas transmission performance parameters matching the standard configuration parameters for multiple groups of gas permeation tests on the test samples. The ideal gas transmission performance parameters are used to correct the gas transmission performance parameters of the test samples.

[0155] Specifically, the application of metal supports between high-pressure chambers and low-pressure chambers is to support non-metallic materials and conduct gas permeation tests to measure their performance parameters. This test is usually conducted based on the pressure difference method, with the aim of generating ideal gas transmission performance parameters of the test sample, which are then used to correct the actual gas transmission performance parameters of the test sample. The parameters and characteristics of metal supports provide an important physical basis for gas permeation tests.

[0156] In order to ensure that the metal support can provide stable and consistent ideal gas transmission performance parameters in multiple sets of permeation tests, it is necessary to standardize the design parameters of the metal support and obtain standard configuration parameters. The metal support with the standard configuration parameters can generate ideal gas transmission performance parameters in the process of measuring the performance parameters of non-metallic materials, which can be used to effectively correct the gas transmission performance parameters of the test sample. Among them, for metal sintered sheets, the standard configuration parameters include an absolute filtration accuracy of ≤150μm, ensuring that only gases below a certain size can pass through non-metallic materials, thereby affecting the particle retention effect during gas transmission. Air permeability ≥5m 3 / (h·kPa·m 2 ) indicates the ease with which gas passes through a metal sintered sheet, so limiting this range can be accurately used to measure non-metallic gas transmission performance parameters. Porosity ≥ 20% indicates the main channel for gas transmission. Higher porosity usually means more pores and greater pore connectivity, which improves gas permeability and diffusivity. Compressive strength ≥ 2MPa indicates that the metal support can withstand a certain pressure without damage. This is particularly important for high-pressure gas transmission testing, which can ensure the structural integrity and performance stability of the material during the test.

[0157] For wire mesh, standard configuration parameters include open porosity, which is the proportion of pores in the wire mesh, which is directly related to the gas flow and the permeability of the material. Higher open porosity means more pores and greater pore connectivity, which improves gas permeability and diffusivity. The diameter of the wire determines the strength of the wire mesh and the size of the pores. Finer wires can provide higher open porosity and larger specific surface area, which may increase the chance of gas contact with the material, thereby affecting gas adsorption and diffusion. The mesh weight per unit area reflects the density and compactness of the wire mesh. Heavier mesh weight may mean thicker wires and lower open porosity, which may reduce gas permeability but improve material strength and durability.

[0158] For metal porous sheets, standard configuration parameters include a pore area ratio of ≤60%, which means there is enough solid material to support the structure while providing the necessary air permeability. It can balance the mechanical stability and gas permeability of the material.

[0159] In summary, when conducting a gas permeation test, these standard configuration parameters work together to determine the performance of metal supports under different pore area conditions. By setting these standard configuration parameters, ideal gas transmission performance parameters that match the standard configuration parameters can be generated in the gas permeation test, ensuring that the generated ideal gas transmission performance parameters can more accurately correct the gas transmission performance parameters of the test sample, thereby obtaining accurate non-metallic material performance parameters.

[0160] A metal support provided in this embodiment is used between a high-pressure chamber and a low-pressure chamber to effectively support non-metallic materials and ensure the stability of the test sample, thereby improving the accuracy of gas permeability performance measurement. By conducting multiple groups of gas permeation tests, ideal gas transmission performance parameters can be generated to correct the actual measured parameters. The metal support includes a metal sintered sheet, a metal wire mesh, and a metal porous sheet. The metal sintered sheet has high compressive strength (≥2MPa) to ensure stability under high pressure environments, while its filtration accuracy (≤150μm) effectively removes gas impurities and ensures the purity of the measurement. In addition, the porosity and pore area of ​​the metal wire mesh and the porous sheet are adjustable to further control the gas flow characteristics. These technical effects comprehensively improve the accuracy, stability and reliability of the measurement of performance parameters of non-metallic materials.

[0161] In some embodiments, the penetration diameter of the metal support is 10-150 mm, and the thickness of the metal support is >1 mm.

[0162] Specifically, the permeation diameter determines the size of the channel for gas flow. A larger permeation diameter can reduce the resistance to gas flow, thereby increasing the gas permeability. In the gas permeation test, a larger pore size helps the gas pass through the metal support faster. The thickness of the metal support affects the compressive strength and thermal stability of the material. Thicker metal supports usually have better pressure resistance. Therefore, combining the limitations of these two can provide a reliable basis for the accurate characterization and correction of gas transmission performance.

[0163] This embodiment ensures that the resistance to gas flow is reduced and the gas permeability is improved through a larger permeation diameter, so that it passes through the metal support more smoothly. At the same time, the thickness of the metal support improves the compressive strength and thermal stability of the material, making it perform better under high pressure and high temperature conditions. Taking the permeation diameter and thickness into consideration, the gas transmission performance can be accurately characterized and corrected, so that the ideal gas transmission performance parameters corresponding to the test sample can be generated, which can be used to correct the gas transmission performance parameters of the test sample and improve accuracy.

[0164] In some embodiments, when the absolute filtration accuracy of the metal sintered sheet is 1-100 μm, the metal sintered sheet is made of metal powder;

[0165] When the absolute filtration accuracy of the metal sintered sheet is 101-150μm, the metal sintered sheet is made of metal mesh.

[0166] Specifically, the metal sintered sheet is made of metal powder and has a higher filtration accuracy, making its absolute filtration accuracy reach 1-100μm. The metal sintered sheet is made of metal mesh, providing larger pores, allowing faster gas flow, which may increase the permeability and make its absolute filtration accuracy reach 101-150μm.

[0167] The metal sintered sheet made of metal powder in this embodiment can achieve a high filtration accuracy of 1-100μm, which is suitable for scenes requiring fine filtration. The metal sintered sheet made of metal mesh provides larger pores, allowing gas to flow faster, so its absolute filtration accuracy is in the range of 101-150μm, which is suitable for filtering larger particles. This embodiment can optimize the balance between filtration accuracy and gas flow efficiency.

[0168] In some embodiments, the pore diameters of the porous metal sheet are uniform;

[0169]

[0170]

[0171] in, is the pore area of ​​the metal porous sheet; is the hole area of ​​the metal sintered sheet or metal wire mesh; n is the number of holes, d a is the hole diameter, r is the characteristic scale, which characterizes the characteristics of the hole, M is the fractal dimension, which characterizes the slope of the straight line obtained by taking the logarithm of the hole area and the characteristic scale, and C is the proportional constant.

[0172] Specifically, the gas transmission performance of the metal porous sheet is proportional to the square of the pore diameter. The larger the pore diameter, the larger the pore area, and the better the gas transmission performance may be, because the larger pore area provides more gas passage paths.

[0173] In metal sintered sheets or metal wire meshes, the characteristic scale r usually refers to the characteristic size of the pores, which can be the pore diameter, pore length or other measurements that can characterize the pore characteristics. r can be obtained through microscope image analysis or experimental measurement. For example, the pore image of the metal support is analyzed by image processing software, and the actual size of the pore is measured. This measurement value is the characteristic scale r. The pore area data at different characteristic scales r is obtained through a microscope or image processing software, and the relationship between the pore area and the characteristic scale is established. The logarithm of the pore area and the characteristic scale is taken for linear regression analysis. For example, A (r) = C × r M , C is the proportionality constant, take the logarithm of both sides of the above formula, and we get log(A(r))=log(C)+M log(r). Through the experimental data, linear regression analysis can be performed, and the slope of the line between log(A(r)) and log(r) is the fractal dimension M. The proportionality constant C can be obtained through the intercept of linear regression.

[0174] In this embodiment, the hole diameter of the metal porous sheet is consistent, making the hole area calculation simpler and more intuitive. The uniformity of the holes helps to ensure the consistency of the channels, thereby improving the predictability and stability of the overall performance and reducing the unevenness of the local gas flow or the resistance difference. For metal sintered sheets or metal wire meshes, the hole area and filtering effect can be adjusted by controlling the characteristic scale and fractal dimension, thereby optimizing the performance of the material to meet specific application requirements.

[0175] Figure 1 A flow chart of a method for determining the ideal gas transmission performance parameters provided in an embodiment of the present application, the process may include the following steps:

[0176] Step S1, setting test samples on metal supports with different pore areas, performing multiple groups of gas permeation tests on the test samples, and obtaining pressure-time variation permeation curves corresponding to the test samples with different pore areas.

[0177] Specifically, metal supports with different pore areas are selected, the test samples are mounted on these metal supports, and placed between the high-pressure chamber and the low-pressure chamber of the permeation unit for gas permeation test. In order to ensure the accuracy of the test results, three specifications of metal sintered sheets, metal wire meshes and metal porous sheets can be used, and 3-5 groups of different pore areas are selected for each specification for testing. The volume of the low-pressure chamber is determined by design parameters, the test temperature and the gas pressure of the high-pressure chamber are obtained by sensors, and the pressure changes of the low-pressure chamber of the test sample on the metal supports with different pore areas are recorded until a balance state is reached, thereby drawing a permeation curve of pressure-time changes.

[0178] Step S3, generating a test gas transmission performance parameter corresponding to the test sample based on the pressure-time variation permeation curve.

[0179] Gas transmission performance parameters generally refer to a series of physical quantities that describe the transmission behavior of gas in non-metallic materials. These parameters are crucial for understanding and predicting the permeation, diffusion and dissolution processes of gas in porous non-metallic materials, films, composite materials, etc. In this embodiment, the test of gas transmission performance parameters includes testing the permeability coefficient P, testing the diffusion coefficient D, and testing the solubility coefficient S. The permeability coefficient represents the flow rate of gas through a unit area of ​​a test sample under a unit pressure gradient, and is an important indicator for measuring the gas permeability of a test sample such as a non-metallic material. The diffusion coefficient represents the amount of material that diffuses through the test sample per unit time due to the concentration gradient, and reflects the permeability and diffusion efficiency of the test sample such as a non-metallic material to gas molecules. The solubility coefficient represents the amount of gas that can be dissolved per unit time, and reflects the solubility of the test sample such as a non-metallic material for a specific gas.

[0180] Specifically, find the straight line segment of steady-state permeation from the pressure-time variation permeation curve, which is usually the part where the slope of the curve becomes stable and consistent. Calculate the slope of the straight line segment, which represents the change in the pressure change of the low-pressure chamber per unit time. The lag time can be determined by extrapolating the pressure change curve (usually a straight line segment) at steady-state permeation to the time axis on the pressure-time variation permeation curve, and this intersection is the lag time. Then determine the test permeability coefficient based on the obtained gas transmission rate and the thickness of the test sample, determine the test diffusion coefficient based on the thickness of the test sample and the time, and finally determine the test solubility coefficient based on the ratio of the test permeability coefficient to the test diffusion coefficient.

[0181] Step S5, determining the ideal gas transmission performance parameters corresponding to the test gas transmission performance parameters.

[0182] Specifically, the ideal gas transmission performance parameters are used to evaluate the consistency of the test gas transmission performance parameters. First, the standard deviation of the test gas transmission performance parameters (test permeability coefficient, test diffusion coefficient, and test solubility coefficient) obtained in each test needs to be calculated and divided by the average value of the parameters to obtain the relative standard deviation. This indicator is used to measure the degree of dispersion of the data. The corresponding ideal gas transmission performance parameters are evaluated based on the results of the relative standard deviation.

[0183] The standard deviation is calculated as follows:

[0184]

[0185] Where SD is the standard deviation, n is the number of metal supports with different hole areas, and X i is the corresponding data point of the ith data point, and μ is the mean value corresponding to each data point.

[0186] The formula for calculating the relative standard deviation is as follows:

[0187]

[0188] For example, suppose there are three different specifications of metal supports, including metal sintered sheets, metal meshes, and metal porous sheets. Three groups of tests were conducted on each specification of metal supports, and each group of tests obtained the test permeability coefficient P, the test diffusion coefficient D, and the test solubility coefficient S. The relative standard deviation RSD of each parameter needs to be calculated. For each parameter, the average value μ of all test data is calculated:

[0189]

[0190] Where n is the number of test groups (3 groups for each specification, 9 groups in total), X i is the test data for each group.

[0191] Then, the relative standard deviation corresponding to each parameter type is calculated using the above standard deviation formula and relative standard deviation formula, where the relative standard deviation of the test permeability coefficient, the relative standard deviation of the test diffusion coefficient, and the relative standard deviation of the test solubility coefficient can be obtained. Next, the relative standard deviation threshold can be set, preferably 10%. If the relative standard deviation is less than 10%, it means that the test results have a high consistency. The average value of the test gas transmission performance parameter can be directly used as the ideal gas transmission performance parameter. This is because the variability of the test results is small, and it can be considered that the average value better represents the ideal situation. If the relative standard deviation is greater than or equal to 10%, it means that the variability of the test results is large. At this time, it is necessary to construct a curve of the test gas transmission performance parameter changing with the pore area of ​​the metal support. This helps to observe the trend and pattern of parameter changes. Perform mathematical or statistical fitting on the change curve, such as linear fitting, polynomial fitting or other nonlinear model fitting. In the fitted change curve, if the pore area and the corresponding metal support area meet the preset value, this indicates that the fitting model can reasonably describe the experimental data. The test gas transmission performance parameter corresponding to the preset value is determined as the ideal gas transmission performance parameter.

[0192] The method for determining the ideal gas transmission performance parameters provided in this embodiment is to set the test samples on the metal support with different pore areas, conduct multiple groups of gas permeation tests, and obtain the pressure-time variation permeation curves under different pore areas. This process enables the experiment to systematically evaluate the gas permeation characteristics of the material under different conditions. Based on these permeation curves, the gas transmission performance parameters of the test samples are further generated, thereby providing important data support for subsequent analysis. Finally, by determining the relationship between these performance parameters and the ideal gas transmission performance parameters, the gap between the actual performance of the test samples and the ideal state can be effectively evaluated. This helps to improve the accuracy and reliability of the data. These combined effects of this embodiment can comprehensively optimize the evaluation of gas transmission performance parameters and improve the accuracy of experimental results.

[0193] Figure 2 The flowchart of step S3 provided in the embodiment of the present application, testing the gas transmission performance parameter includes testing the permeability coefficient, testing the diffusion coefficient and testing the solubility coefficient; the process may include the following steps:

[0194] Step S31, determining the gas mass change rate and lag time corresponding to the test sample according to the pressure-time change permeation curve.

[0195] The gas mass change rate refers to the change in gas pressure per unit time through the test sample under steady-state conditions, reflecting the rate at which gas permeates the material. The lag time refers to the time required from the start of gas supply to the gas passing through the test sample and reaching steady-state penetration, reflecting the delayed characteristics of gas transmission inside the material.

[0196] Specifically, the straight line segment of steady-state permeation is found from the pressure-time variation permeation curve, which is usually the part where the slope of the curve becomes stable and consistent. The slope of the straight line segment is calculated to obtain the gas mass change rate, i.e., dp / dt, which represents the change in the pressure change of the low-pressure chamber per unit time. The lag time θ can be determined by extrapolating the pressure change curve (usually the straight line segment) at steady-state permeation to the time axis on the pressure-time variation permeation curve, and this intersection is the lag time θ.

[0197] Step S33, determining the test permeability coefficient corresponding to the test sample according to the gas mass change rate and the acquired gas transmission rate.

[0198] Gas transmission rate refers to the amount of gas per unit volume that passes through a unit area of ​​a test sample per unit time under a unit pressure gradient. It is a key parameter for measuring the gas permeability of materials and gas permeation efficiency.

[0199] In some embodiments, the test permeability coefficient is:

[0200]

[0201]

[0202] Where P is the test permeability coefficient, mol / (m·s·Pa); d is the thickness of the test sample, m; GTR is the gas transmission rate, mol / (m 2 ·s·Pa); V C is the volume of the low pressure chamber, m 3 ; T is the test temperature, K; P H is the gas pressure of the high pressure chamber, Pa; A0 is the area of ​​the metal support, m 2 ; dp / dt is the gas mass change rate, Pa / s; R is the gas constant, R=8.31m 3 ·Pa / (K·mol).

[0203] Specifically, the test permeability coefficient P is determined by the gas transmission rate GTR and the thickness d of the test sample. The parameters affected by the gas transmission rate GTR are the volume V of the low pressure chamber C , used to calculate the expansion or compression of gas in a low-pressure chamber; the test temperature T, the higher the temperature, the more active the gas molecules move; the gas pressure P in the high-pressure chamber H Used to promote gas to pass through the test sample; the area of ​​the metal support A0 represents the actual area of ​​gas penetration and is used to calculate the gas transmission volume per unit area.

[0204] Step S35, determining the test diffusion coefficient corresponding to the test sample according to the lag time and the thickness of the test sample.

[0205] The lag time is usually related to the speed of the diffusion process, and the thickness of the test sample will affect the diffusion path. Generally speaking, the longer the lag time, the smaller the diffusion coefficient may be, because the material diffuses more slowly. Conversely, the greater the thickness, it may take a longer lag time to reach a stable diffusion state.

[0206] Specifically, the diffusion coefficient can be determined by establishing a relationship between experimental data and a theoretical model. Common methods include fitting a diffusion equation, such as Fick's law, based on experimental data to calculate the diffusion coefficient.

[0207] In some embodiments, the test diffusion coefficient is:

[0208]

[0209] Where D is the test diffusion coefficient, m 2 / s; θ is the lag time.

[0210] Specifically, the embodiment of the present application adopts a simplified version based on Fick's law. By calculating according to the above formula, the test diffusion coefficient D can be obtained. An increase in the thickness of the test sample or an extension of the lag time may lead to a decrease in the diffusion coefficient.

[0211] Step S37, determining the test solubility coefficient corresponding to the test sample according to the permeability coefficient and the diffusion coefficient.

[0212] Specifically, the test solubility coefficient is determined by the ratio of the permeability coefficient P and the diffusion coefficient D.

[0213] In some embodiments, the test solubility coefficient is:

[0214]

[0215] Where S is the test solubility coefficient, mol / (m 3 ·pa).

[0216] and Figure 1 Compared with the embodiment shown in the figure, this embodiment can accurately determine the gas mass change rate and lag time by analyzing the permeation curve of the pressure-time change, so as to obtain the gas transmission characteristics of the test sample. Using the gas mass change rate and the gas transmission rate, the test permeability coefficient of the sample can be accurately calculated to reflect the permeability of the test sample to the gas. Combining the lag time and the thickness of the test sample, the diffusion coefficient of the test sample is calculated to describe the diffusion behavior of the gas in the test sample. The solubility coefficient of the test sample can be further determined by combining the permeability coefficient and the diffusion coefficient, providing the overall solubility performance of the test sample to the gas.

[0217] Figure 3The flowchart of step S5 provided in the embodiment of the present application may include the following steps:

[0218] Step S51, determining the relative standard deviation corresponding to the test gas transmission performance parameter.

[0219] Specifically, the relative standard deviation here includes the relative standard deviation of the test permeability coefficient, the relative standard deviation of the test diffusion coefficient and the relative standard deviation of the test solubility coefficient.

[0220] The formula for calculating the standard deviation is as follows:

[0221]

[0222] Where SD is the standard deviation, n is the number of metal supports with different hole areas, and X i is the corresponding data point of the ith data point, and μ is the mean value corresponding to each data point.

[0223] The formula for calculating the relative standard deviation is as follows:

[0224]

[0225] For example, suppose there are three different specifications of metal supports, including metal sintered sheets, metal meshes, and metal porous sheets. Three groups of tests were conducted on each specification of metal supports, and each group of tests obtained the test permeability coefficient P, the test diffusion coefficient D, and the test solubility coefficient S. The relative standard deviation RSD of each parameter needs to be calculated. For each parameter, the average value μ of all test data is calculated:

[0226]

[0227] Where n is the number of test groups (3 groups for each specification, 9 groups in total), X i is the test data for each group.

[0228] Step S53: when the relative standard deviation is less than 10%, the average value corresponding to the test gas transmission performance parameter is determined as the ideal gas transmission performance parameter.

[0229] Specifically, if the relative standard deviation is less than 10%, it means that the test results have a high consistency. The average value of the test gas transmission performance parameters can be directly used as the ideal gas transmission performance parameters. This is because the variability of the test results is small, and it can be considered that the average value better represents the ideal situation. Here it can be understood that the relative standard deviation of the test permeability coefficient, the relative standard deviation of the test diffusion coefficient, and the relative standard deviation of the test solubility coefficient all need to be less than 10% before the average value of the test gas transmission performance parameters can be directly used as the ideal gas transmission performance parameters.

[0230] Step S55, when the relative standard deviation is greater than or equal to 10%, construct a curve of the test gas transmission performance parameter changing with the hole area of ​​the metal support.

[0231] Specifically, at least one of the relative standard deviation of the test permeability coefficient, the relative standard deviation of the test diffusion coefficient, and the relative standard deviation of the test solubility coefficient is greater than or equal to 10%, indicating that the variability of the test results is large. It is necessary to construct a curve of the test gas transmission performance parameter changing with the pore area of ​​the metal support. Please refer to Figure 4 , Figure 4 A graph showing the variation of the test gas transmission performance parameters with the pore area of ​​the metal support provided in the embodiment of the present application. It can be seen from the figure that the horizontal axis is the proportion of pores in the metal support, which is the ratio of the pore area to the total area of ​​the metal support. The vertical axis is obtained by dividing the gas transmission performance parameters under the test conditions by the corresponding ideal gas transmission performance parameters. The data points in the figure represent the ratio of the gas transmission performance parameters obtained under different pore area ratios to the ideal parameters.

[0232] Step S57, fitting the variation curve, when the hole area and the corresponding metal support area in the fitted variation curve meet the preset value, determining the test gas transmission performance parameter corresponding to the preset value as the ideal gas transmission performance parameter.

[0233] Specifically, mathematical or statistical fitting is performed on these change curves, such as linear fitting, polynomial fitting or other nonlinear model fitting. In the change curve after fitting, if the hole area and the corresponding metal support area meet the preset value, the preset value is set to 1. Figure 4 It can be seen that the ratio of the hole area to the corresponding metal support area is equal to the ordinate corresponding to 1, and then the corresponding gas transmission performance parameters can be obtained, and the gas transmission performance parameters obtained by fitting are determined as ideal gas transmission performance parameters.

[0234] and Figure 1 Compared with the embodiment shown, this embodiment can evaluate the consistency and reliability of the data by determining the relative standard deviation of the test gas transmission performance parameters. If the relative standard deviation is less than 10%, it indicates that the variability of the test data is small. At this time, the average value of the test gas transmission performance parameters can be used as the ideal gas transmission performance parameters, thereby providing a stable and reliable reference value. When the relative standard deviation is greater than or equal to 10%, by constructing a change curve between the test gas transmission performance parameters and the metal support hole area, the trend and dependency of the data can be further analyzed. By fitting the change curve and finding the point in the curve where the hole area and the metal support area meet the preset value, the corresponding gas transmission performance parameter is used as the ideal value, which can effectively deal with the inconsistency of the data and improve the accuracy and reliability of the gas transmission performance parameters.

[0235] Figure 5 The ideal gas transmission performance parameters provided in the embodiment of the present application are also used to generate a correction model corresponding to the metal support to be corrected, and a flow chart of the generation method of the correction model, which may include the following steps:

[0236] Step S11, placing test samples on the metal supports to be corrected with different pore areas, performing multiple groups of gas permeation tests on the test samples, and obtaining measured gas transmission performance parameters corresponding to the test samples.

[0237] Step S13, normalizing the measured gas transmission performance parameters according to the ideal gas transmission performance parameters to obtain dimensionless gas transmission performance parameters.

[0238] Specifically, in order to facilitate comparison and analysis, the test gas transmission performance parameters need to be converted into a dimensionless format. The embodiment of the present application can normalize the test gas transmission performance parameters according to the ideal gas transmission performance parameters so that the test results under different conditions can be directly compared.

[0239] In some embodiments, the dimensionless gas transport performance parameter is:

[0240]

[0241]

[0242]

[0243] Wherein, P is the test permeability coefficient, D is the test diffusion coefficient, S is the test solubility coefficient, P0 is the ideal permeability coefficient, D0 is the ideal diffusion coefficient, and S0 is the ideal solubility coefficient.

[0244] Step S15, using power function fitting to establish the relationship between the dimensionless gas transmission performance parameter and the acquired dimensionless variable, to obtain a power function model.

[0245] Specifically, the dimensionless variables include the corrected pressure p*, the corrected penetration distance d*, the corrected pore area The corrected pressure p* is obtained by the ratio of the test pressure to the preset ideal pressure; the corrected penetration distance d* is obtained by the thickness of the test sample and the ideal penetration distance; the corrected hole area The power function model is obtained by using the ratio of the hole area of ​​the metal support to be corrected to the area of ​​the metal support to be corrected. The relationship between the dimensionless gas transmission performance parameter and the dimensionless variable is described by a power function, and the power function model is obtained.

[0246] In some embodiments, the power function model is:

[0247]

[0248]

[0249]

[0250]

[0251]

[0252]

[0253] Among them, p*, d* and is a dimensionless variable, p* is the corrected pressure, d* is the corrected penetration distance, is the corrected pore area, p is the test pressure, p0 is the ideal pressure 0-140MPa, d is the thickness of the test sample, d0 is the ideal penetration distance, A p is the hole area of ​​the metal support to be corrected, A0 is the area of ​​the metal support to be corrected, is the fitting coefficient.

[0254] Specifically, the ideal permeation distance d0 here is obtained by: ideal diffusion coefficient D0×6θ, where θ is the time after that. Or the ideal permeation distance d0 is obtained by: ideal permeation coefficient P0 / GTR, where GTR is the gas transmission rate.

[0255] Step S17, using the least square method to fit the power function model to obtain fitting coefficients.

[0256] Specifically, by fitting the power function model, the gas transmission performance parameters under different dimensionless variable conditions can be predicted to obtain the fitting coefficients.

[0257] Step S19, updating the power function model according to the fitting coefficient to obtain a correction model corresponding to the metal support to be corrected.

[0258] Specifically, the power function model is updated according to the fitting coefficients, and the target parameter correction model is obtained as follows:

[0259]

[0260]

[0261]

[0262] In some embodiments, the fitting coefficients include 0.8<α<1.2, 0.8<β<1.2, 2.7<γ<3.1, 0.5<δ<0.9, 0.8<ε<1.2, 0.1<η<0.5, and 2.2<λ<2.9.

[0263] In the generation method of the correction model provided in the embodiment of the present application, dimensionless gas transmission performance parameters can be obtained by using the ideal gas transmission performance parameters to normalize the measured gas transmission performance parameters of the test sample corresponding to the metal support to be corrected. It is possible to eliminate the unit and dimension effects of different test conditions, so that the data can be compared under the same standard, thereby improving the comparability and consistency of the data. The relationship between the dimensionless gas transmission performance parameters and the dimensionless variables is established using power function fitting, and a power function model is obtained to provide a model basis for further analysis. The power function model is fitted using the least squares method to obtain the fitting coefficient, so that the power function model can more accurately reflect the relationship between the actual data and improve the accuracy and reliability of the model. Finally, the power function model is updated according to the fitting coefficient to obtain the target parameter correction model, so that it can better adapt to the actual data, thereby improving the prediction accuracy and application effect of the target parameter.

[0264] Figure 6 A flow chart of a method for determining target gas transmission performance parameters provided in an embodiment of the present application, the flow may include the following steps:

[0265] Step S21, obtaining the test pressure, the thickness of the test sample and the hole area of ​​the metal support to be corrected, and generating correction parameters using the correction model.

[0266] Step S23, generating target gas transmission performance parameters of the test sample according to the measured gas transmission performance parameters and the correction parameters.

[0267] Specifically, according to the target parameter correction model, the data under different test conditions are directly substituted to calculate the correction parameters , and Then, the target gas transmission performance parameters are obtained based on the measured gas transmission performance parameters. , , :

[0268]

[0269]

[0270]

[0271] and Figure 5Compared with the embodiment shown in the figure, this embodiment can effectively eliminate the influence of external factors on gas transmission data by obtaining the test pressure, the thickness of the test sample and the hole area of ​​the metal support to be corrected, and using the correction model to generate correction parameters, thereby improving the accuracy of the experimental results. Based on the measured gas transmission performance parameters and correction parameters, the target gas transmission performance parameters are generated to improve the accuracy of the gas transmission performance parameters of non-metallic materials.

[0272] According to an embodiment of the present application, a device for testing performance parameters of non-metallic materials is provided. Figure 7 A schematic diagram of a non-metallic material performance parameter testing device provided in an embodiment of the present application, such as Figure 7 As shown, the test device includes:

[0273] The permeation unit comprises a permeation chamber 11 and an environmental chamber 12, wherein the permeation chamber 11 is arranged in the environmental chamber 12, the test sample is arranged on the above-mentioned metal support with different pore areas and the permeation chamber 11 is divided into a high-pressure chamber 111 and a low-pressure chamber 112;

[0274] The air intake unit includes a gas storage tank 21, a compressor 22 and a buffer tank 23. The gas storage tank 21, the compressor 22 and the buffer tank 23 are connected by pipelines. The test gas is passed from the gas storage tank 21 to the buffer tank 23 through the compressor 22, and the buffer tank 23 passes the test gas into the permeation unit;

[0275] A temperature control unit, including a refrigerator 31 and a heating block 32, for adjusting the temperature in the environmental box 12;

[0276] The detection unit includes a sensor 41 for detecting the gas in the permeation unit.

[0277] The permeation chamber 11 is divided into a high-pressure chamber 111 and a low-pressure chamber 112, which is used to simulate the permeation process of gas from the high-pressure chamber 111 to the low-pressure chamber 112. Among them, the high-pressure chamber 111 has an air inlet, and the diameter of the gas permeation zone is between 10mm and 150mm to accommodate test samples of different sizes. The test sample is installed in the low-pressure chamber 112 of the permeation chamber 11, and an appropriate sealing device, such as a rubber O-ring or a mechanical seal, is required to ensure that the gas does not bypass the test sample and leak. The temperature control unit includes a refrigerator 31 and a heating block 32 to accurately control the temperature in the environmental box 12 to simulate the gas permeation behavior under different temperature conditions. The temperature control unit can control the temperature range from -70°C to 200°C, covering the service environment temperature of common non-metallic materials under high-pressure gas. The detection unit includes a sensor 41 for real-time detection of gas pressure or flow changes in the permeation unit. Sensor 41 includes but is not limited to pressure sensors, concentration sensors, mass spectrometers, etc. It should also be noted that during the test, the test sample should have a uniform thickness, no surface defects, an area larger than the gas permeation area of ​​the permeation chamber 11, and meet the sealing requirements. The entire test device can ensure that the gas permeability of non-metallic materials is measured under precisely controlled conditions.

[0278] Specifically, see Figure 8 The permeation chamber 11 includes a high-pressure chamber 111 and a low-pressure chamber 112. The lower end surface of the high-pressure chamber 111 is provided with a lower annular groove 1111, and the lower annular groove 1111 is embedded with a high-pressure chamber sealing ring 101. The upper end surface of the low-pressure chamber 112 is provided with an upper annular groove 1121, and the upper annular groove 1121 is embedded with a low-pressure chamber sealing ring 102. The metal support 10 is placed between the high-pressure chamber sealing ring 101 and the low-pressure chamber sealing ring 102 to support the non-metallic material 20.

[0279] The high-pressure chamber 111 and the low-pressure chamber 112 tightly fit the metal support 10 and the non-metal material 20 through fasteners.

[0280] The high-pressure chamber 111 and the low-pressure chamber 112 are evacuated until the vacuum degree reaches a preset value. At this time, it is necessary to ensure that the vacuum pump reduces the vacuum degree of the low-pressure chamber 112 to below 10Pa, and then stop evacuating. A metal support is installed in the groove of the low-pressure chamber 112, and a sealing device (such as a rubber O-ring) is pre-placed in the groove. Next, the test sample is installed on the metal support, and a sealing device is also pre-placed in the groove of the high-pressure chamber 111. The groove of the high-pressure chamber 111 is docked with the groove of the low-pressure chamber 112 and tightly connected to ensure the sealing of the permeation chamber 11. Then, a test gas of a certain pressure is loaded into the high-pressure chamber 111. After a certain pre-permeation time, the pressure change of the low-pressure chamber 112 within a period of time after the pre-permeation is measured, so as to calculate the gas transmission performance parameters of the test sample.

[0281] The present embodiment provides a testing device for the performance parameters of non-metallic materials, in which the permeation chamber 11 is divided into a high-pressure chamber 111 and a low-pressure chamber 112, which can accurately simulate the permeation process of gas from high pressure to low pressure. This separation design enables the test to be carried out under a controllable pressure difference to measure the gas permeability of the sample. The temperature control unit can control the temperature range in the environmental box 12, and can ensure that the test is carried out under various temperature conditions to simulate the gas permeation behavior in the actual use environment. Through the gas storage tank 21, the compressor 22 and the buffer tank 23 in the air intake unit, it is ensured that the test gas can enter the permeation unit efficiently and stably. The sensor 41 in the detection unit can detect the gas state in the permeation unit in real time, so that the gas pressure or flow changes can be accurately recorded, thereby accurately calculating the gas permeation performance parameters.

[0282] According to an embodiment of the present application, an embodiment of a method for correcting performance parameters of non-metallic materials is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0283] In this embodiment, a method for correcting performance parameters of non-metallic materials is provided, using the metal support member as described above or being applied to the testing device as described above. Fig. 9 A flowchart of a method for correcting performance parameters of non-metallic materials provided in an embodiment of the present application is shown in FIG. Fig. 9 As shown, the process includes the following steps:

[0284] Step S101: test samples are arranged on metal supports with different pore areas, and multiple groups of gas permeation tests are performed on the test samples to obtain pressure-time variation permeation curves corresponding to the test samples with different pore areas.

[0285] Step S103, generating a test gas transmission performance parameter corresponding to the test sample based on the pressure-time variation permeation curve.

[0286] Step S105, determining the ideal gas transmission performance parameters corresponding to the test gas transmission performance parameters.

[0287] Step S107, correcting the gas transmission performance parameters of the test sample according to the ideal gas transmission performance parameters to obtain the target gas transmission performance parameters.

[0288] In some preferred embodiments, the test gas transmission performance parameters include testing the permeability coefficient, testing the diffusion coefficient and testing the solubility coefficient; based on the pressure-time variation permeability curve, generating the test gas transmission performance parameters corresponding to the test sample includes:

[0289] According to the pressure-time variation permeation curve, determine the gas mass change rate and lag time corresponding to the test sample;

[0290] Determine the test permeability coefficient corresponding to the test sample according to the gas mass change rate and the obtained gas transmission rate;

[0291] Determine the test diffusion coefficient corresponding to the test sample according to the lag time and the thickness of the test sample;

[0292] According to the permeability coefficient and diffusion coefficient, the test solubility coefficient corresponding to the test sample is determined.

[0293] In some preferred embodiments, the test permeability coefficient is:

[0294]

[0295]

[0296] Where P is the test permeability coefficient, mol / (m·s·Pa); d is the thickness of the test sample, m; GTR is the gas transmission rate, mol / (m 2 ·s·Pa); V C is the volume of the low pressure chamber, m 3 ; T is the test temperature, K; P H is the gas pressure of the high pressure chamber, Pa; A0 is the area of ​​the metal support, m 2 ; dp / dt is the gas mass change rate, Pa / s; R is the gas constant, R=8.31m 3 ·Pa / (K·mol);

[0297] The test diffusion coefficient is:

[0298]

[0299] Where D is the test diffusion coefficient, m 2 / s; θ is the lag time;

[0300] The test solubility coefficient is:

[0301]

[0302] Where S is the test solubility coefficient, mol / (m 3 ·pa).

[0303] In some preferred embodiments, determining the ideal gas transmission performance parameter corresponding to the test gas transmission performance parameter includes:

[0304] Determine the relative standard deviation corresponding to the test gas transmission performance parameter;

[0305] When the relative standard deviation is less than 10%, the average value corresponding to the test gas transmission performance parameter is determined as the ideal gas transmission performance parameter;

[0306] When the relative standard deviation is greater than or equal to 10%, a curve of the test gas transmission performance parameter changing with the pore area of ​​the metal support is constructed;

[0307] The variation curve is fitted, and when the hole area and the corresponding metal support area in the fitted variation curve meet the preset value, the test gas transmission performance parameter corresponding to the preset value is determined as the ideal gas transmission performance parameter.

[0308] In some preferred embodiments, the gas transmission performance parameters of the test sample are corrected according to the ideal gas transmission performance parameters to obtain the target gas transmission performance parameters, including:

[0309] Generate a correction model corresponding to the metal support to be corrected according to the ideal gas transmission performance parameters;

[0310] The gas transmission performance parameters of the test sample are corrected according to the correction model to obtain the target gas transmission performance parameters.

[0311] In some preferred embodiments, generating a correction model corresponding to the metal support to be corrected according to the ideal gas transmission performance parameters includes:

[0312] Test samples are placed on the metal supports to be corrected with different pore areas, and multiple groups of gas permeation tests are performed on the test samples to obtain the measured gas transmission performance parameters corresponding to the test samples;

[0313] Normalizing the measured gas transmission performance parameters according to the ideal gas transmission performance parameters to obtain dimensionless gas transmission performance parameters;

[0314] The power function fitting is used to establish the relationship between the dimensionless gas transmission performance parameters and the obtained dimensionless variables, and a power function model is obtained;

[0315] The power function model was fitted using the least square method to obtain the fitting coefficients;

[0316] The power function model is updated according to the fitting coefficient to obtain a correction model corresponding to the metal support to be corrected.

[0317] In some preferred embodiments, the ideal gas transport performance parameters include an ideal permeability coefficient, an ideal diffusion coefficient, and an ideal solubility coefficient; the measured gas transport performance parameters include a measured permeability coefficient, a measured diffusion coefficient, and a measured solubility coefficient; the dimensionless gas transport performance parameters are:

[0318]

[0319]

[0320]

[0321] Among them, P is the measured permeability coefficient, D is the measured diffusion coefficient, S is the measured solubility coefficient, P0 is the ideal permeability coefficient, D0 is the ideal diffusion coefficient, and S0 is the ideal solubility coefficient.

[0322] In some preferred embodiments, the power function model is:

[0323]

[0324]

[0325]

[0326]

[0327]

[0328]

[0329] Among them, p*, d* and is a dimensionless variable, p* is the corrected pressure, d* is the corrected penetration distance, is the corrected pore area, p is the test pressure, p0 is the ideal pressure 0-140MPa, d is the thickness of the test sample, d0 is the ideal penetration distance, A p is the hole area of ​​the metal support to be corrected, A0 is the area of ​​the metal support to be corrected, is the fitting coefficient.

[0330] In some preferred embodiments, the gas transmission performance parameters of the test sample are corrected according to the correction model to obtain the target gas transmission performance parameters, including:

[0331] Obtain the test pressure, the thickness of the test sample and the hole area of ​​the metal support to be corrected, and generate correction parameters using the correction model;

[0332] The target gas transmission performance parameters of the test sample are generated according to the measured gas transmission performance parameters and the correction parameters.

[0333] The specific implementation of the present invention is described below in conjunction with a specific application embodiment. In this specific application embodiment, a nitrile rubber (NBR) with a thickness of about 2.5-2.8 mm and a diameter of 78 mm is selected as a test sample, and a metal sintered sheet with a nominal filtration accuracy of 1 μm, 20 μm, 50 μm and 150 μm is used as a support. The thickness of the metal sintered sheet is 2 mm and the diameter is 40 mm.

[0334] The hydrogen permeation test of four groups of samples of this specification was started. Before the hydrogen permeation test, in order to eliminate the influence of impurity gas on the results, the permeation chamber needs to be replaced with test gas 2-3 times to ensure the purity of the gas in the permeation chamber, thereby avoiding interference with the test results.

[0335] Next, place the permeation chamber in an environmental chamber for testing. Change the size of the pad according to the thickness of the test sample. After the test sample is installed, the temperature in the environmental chamber is controlled at 18°C ​​by the refrigerator and the heating block, and the pressure is controlled at 10MPa by the compressor. 10-15 minutes after the hydrogen filling is completed, use a hydrogen concentration sensor to test the leakage of the connection gap between the high-pressure chamber and the low-pressure chamber, the leak detection port, and the adapter connected to the tooling. If the detected leakage is 0, it means that there are no other hydrogen leakage points that affect the test results during the test.

[0336] Start the recorder, collect the hydrogen pressure data of the low-pressure chamber at different time points under the conditions of multiple groups of metal supports with different pore areas for the same material and specification test samples, record the change data of the low-pressure side pressure over time, and draw the pressure-time change permeation curve, see Fig.10 , and the gas mass change rate dp / dt and lag time θ at steady-state permeation are obtained. The specific values ​​are shown in Table 1.

[0337] Table 1 Values ​​corresponding to the pressure-time variation permeability curve and thickness of the test sample

[0338]

[0339] Take the metal support with a nominal filtration accuracy of 1μm as an example and substitute into the formula:

[0340]

[0341]

[0342]

[0343] Similarly, the P, D, and S values ​​of the other three types of metal support parts can be obtained for the other specifications of metal support parts, and then the corresponding standard deviation and relative standard deviation are calculated respectively, as shown in Table 2.

[0344] Table 2 SD and RSD of test gas transmission performance parameters

[0345]

[0346] As shown in Table 2, the relative standard deviation RSD is less than 10%, indicating that the test results have high consistency. The average value of the test gas transmission performance parameters can be directly used as the ideal gas transmission performance parameter. The ideal gas transmission performance parameter P0=9.07×10 -12 kg / (m·s·MPa), D0=1.74×10 -10 m 2 / s,S0=5.2×10 -2 mol / (m 3 ·Pa).

[0347] Five types of metal porous sheets with diameter of 40 mm and thickness of 2 mm, with pore sizes of Φ0.8×19, Φ0.8×37, Φ0.8×73, Φ1.6×73, and Φ2.0×87, were selected for high-pressure hydrogen permeation tests to obtain the corresponding measured gas transmission performance parameters P, D, and S, which were normalized with P0, D0, and S0 to obtain dimensionless gas transmission performance parameters.

[0348]

[0349]

[0350]

[0351] Then get the dimensionless variable:

[0352]

[0353]

[0354]

[0355] Where p* is the corrected pressure, d* is the corrected penetration distance, is the corrected pore area, p is the test pressure, p0 is the ideal pressure 0-140MPa, d is the thickness of the test sample, d0 is the ideal penetration distance, A p is the pore area of ​​the metal porous sheet to be corrected, A0 is the area of ​​the metal porous sheet to be corrected,

[0356] The least squares method is used to fit the relationship between the measured gas transmission performance parameters and the dimensionless variables to obtain the modified model:

[0357]

[0358]

[0359]

[0360] Substitute the given conditions and experimental data, i.e., the test pressure of the metal porous sheet to be corrected, the pore area of ​​the metal porous sheet to be corrected, the area of ​​the metal porous sheet to be corrected, and the thickness of the NBR rubber into the correction model to obtain the correction parameters of the NBR rubber. Then, based on the measured gas transmission performance parameters P, D, S and the correction parameters, the target gas transmission performance parameters of the test sample are generated:

[0361]

[0362]

[0363]

[0364] The final target gas transmission performance parameters are shown in Table 3.

[0365] Table 3 Actual hydrogen transport performance parameters of NBR rubber

[0366]

[0367] In summary, the method for correcting the performance parameters of non-metallic materials provided in the application embodiment of the present application helps to improve the accuracy and reliability of data.

[0368] Although the embodiments of the present application are described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present application, and such modifications and variations are all within the scope defined by the appended claims.

[0369] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0370] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0371] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

[0372] Although the embodiments of the present application have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present application, and such modifications and variations are all within the scope defined by the appended claims.

Claims

1. A metal support, characterized in that: Suitable for cooperating with a high-pressure chamber and a low-pressure chamber to measure performance parameters of non-metallic materials, wherein the metal support is placed between the high-pressure chamber and the low-pressure chamber and is used to support the non-metallic material; The metal support member includes at least one of a metal sintered sheet, a metal mesh or a metal porous sheet; the metal support member is prepared based on standard configuration parameters, and the standard configuration parameters of the metal support member are configured in the following manner: For the metal sintered sheet, the standard configuration parameters include absolute filtration accuracy ≤ 150μm, air permeability ≥ 5m 3 / (h·kPa·m 2 ), porosity ≥ 20%, compressive strength ≥ 2MPa; For the metal wire mesh, the standard configuration parameters include an opening rate range of 20-90%, a metal wire diameter of 0.01-4 mm, and a mesh weight per unit area of ​​0.1-3.2 kg / m 2 ; For the metal porous sheet, the standard configuration parameters include a hole area ratio of ≤60%; In the process of measuring the performance parameters of non-metallic materials, the metal support prepared according to the standard configuration parameters generates ideal gas transmission performance parameters matching the standard configuration parameters for multiple groups of gas permeation tests of the test samples, and the ideal gas transmission performance parameters are used to correct the gas transmission performance parameters of the test samples; Wherein, the ideal gas transmission performance parameters are determined based on the following method: The test samples are arranged on the metal supports with different pore areas, and multiple groups of gas permeation tests are performed on the test samples to obtain pressure-time variation permeation curves corresponding to the test samples with different pore areas; Based on the pressure-time variation permeation curve, generating a test gas transmission performance parameter corresponding to the test sample; Determine an ideal gas transmission performance parameter corresponding to the test gas transmission performance parameter.

2. The metal support according to claim 1, characterized in that: The penetration diameter of the metal support is 10-150 mm, and the thickness of the metal support is greater than 1 mm.

3. The metal support according to claim 1, characterized in that: When the absolute filtering accuracy of the metal sintered sheet is 1-100 μm, the metal sintered sheet is made of metal powder; When the absolute filtering accuracy of the metal sintered sheet is 101-150 μm, the metal sintered sheet is made of a metal mesh.

4. The metal support according to claim 1, characterized in that: The pore diameters of the metal porous sheet are consistent; in, is the pore area of ​​the porous metal sheet; is the hole area of ​​the metal sintered sheet or metal wire mesh; n is the number of holes, d a is the hole diameter, r is the characteristic scale, which characterizes the characteristics of the hole, M is the fractal dimension, which characterizes the slope of the straight line obtained by taking the logarithm of the hole area and the characteristic scale, and C is the proportional constant.

5. The metal support according to claim 1, characterized in that: The test gas transmission performance parameters include a test permeability coefficient, a test diffusion coefficient and a test solubility coefficient; the test gas transmission performance parameters corresponding to the test sample generated based on the pressure-time variation permeability curve include: Determining the gas mass change rate and lag time corresponding to the test sample according to the pressure-time change permeation curve; Determining the test permeability coefficient corresponding to the test sample according to the gas mass change rate and the obtained gas transmission rate; Determining the test diffusion coefficient corresponding to the test sample according to the lag time and the thickness of the test sample; The test solubility coefficient corresponding to the test sample is determined according to the permeability coefficient and the diffusion coefficient.

6. The metal support according to claim 5, characterized in that: The test permeability coefficient is: Where P is the test permeability coefficient, mol / (m·s·Pa); d is the thickness of the test sample, m; GTR is the gas transmission rate, mol / (m 2 ·s·Pa); V C is the volume of the low pressure chamber, m 3 ; T is the test temperature, K; P H is the gas pressure of the high pressure chamber, Pa; A0 is the area of ​​the metal support, m 2 ; dp / dt is the gas mass change rate, Pa / s; R is the gas constant, R=8.31m 3 Pa / (K·mol); The test diffusion coefficient is: Where D is the test diffusion coefficient, m 2 / s; θ is the lag time; The test solubility coefficient is: Where S is the test solubility coefficient, mol / (m 3 ·pa).

7. The metal support according to claim 1, characterized in that: The step of determining the ideal gas transmission performance parameter corresponding to the test gas transmission performance parameter comprises: Determining the relative standard deviation corresponding to the test gas transmission performance parameter; When the relative standard deviation is less than 10%, the average value corresponding to the test gas transmission performance parameter is determined as the ideal gas transmission performance parameter; When the relative standard deviation is greater than or equal to 10%, constructing a curve of the test gas transmission performance parameter changing with the hole area of ​​the metal support; The variation curve is fitted, and when the hole area and the corresponding metal support area in the fitted variation curve meet preset values, the test gas transmission performance parameter corresponding to the preset value is determined as the ideal gas transmission performance parameter.

8. The metal support according to claim 1, characterized in that: The ideal gas transmission performance parameters are also used to generate a correction model corresponding to the metal support to be corrected, and the correction model is generated based on the following method: The test samples are placed on the metal supports to be corrected with different pore areas, and multiple groups of gas permeation tests are performed on the test samples to obtain the measured gas transmission performance parameters corresponding to the test samples; Normalizing the measured gas transmission performance parameter according to the ideal gas transmission performance parameter to obtain a dimensionless gas transmission performance parameter; Using power function fitting to establish the relationship between the dimensionless gas transmission performance parameter and the acquired dimensionless variable to obtain a power function model; The power function model is fitted using the least square method to obtain fitting coefficients; The power function model is updated according to the fitting coefficient to obtain the correction model corresponding to the metal support to be corrected.

9. The metal support according to claim 8, characterized in that: The ideal gas transmission performance parameters include the ideal permeability coefficient, the ideal diffusion coefficient and the ideal solubility coefficient; the measured gas transmission performance parameters include the measured permeability coefficient, the measured diffusion coefficient and the measured solubility coefficient; the dimensionless gas transmission performance parameters are: Among them, P is the measured permeability coefficient, D is the measured diffusion coefficient, S is the measured solubility coefficient, P0 is the ideal permeability coefficient, D0 is the ideal diffusion coefficient, and S0 is the ideal solubility coefficient.

10. The metal support according to claim 9, characterized in that: The power function model is: Among them, p*, d* and is a dimensionless variable, p* is the corrected pressure, d* is the corrected penetration distance, is the corrected pore area, p is the test pressure, p0 is the ideal pressure 0-140MPa, d is the thickness of the test sample, d0 is the ideal penetration distance, A p is the hole area of ​​the metal support to be corrected, A0 is the area of ​​the metal support to be corrected, is the fitting coefficient.

11. The metal support according to claim 8, characterized in that: The target gas transmission performance parameter is obtained after the gas transmission performance parameter of the test sample is corrected. The target gas transmission performance parameter is determined in the following manner: Acquire the test pressure, the thickness of the test sample and the hole area of ​​the metal support to be corrected, and generate correction parameters using the correction model; The target gas transmission performance parameter of the test sample is generated according to the measured gas transmission performance parameter and the correction parameter.

12. A non-metallic material performance parameter testing device comprising a metal support as claimed in any one of claims 1 to 11, characterized in that: The testing device comprises: A permeation unit, comprising a permeation chamber and an environmental chamber, wherein the permeation chamber is arranged in the environmental chamber, a test sample is arranged on the metal support with different pore areas and the permeation chamber is divided into a high-pressure chamber and a low-pressure chamber; An air intake unit, comprising an air storage tank, a compressor and a buffer tank, wherein the air storage tank, the compressor and the buffer tank are connected by a pipeline, the compressor passes the test gas from the air storage tank into the buffer tank, and the buffer tank passes the test gas into the permeation unit; a temperature control unit, including a refrigerator and a heating block, for adjusting the temperature in the environmental chamber; The detection unit comprises a sensor for detecting the gas in the permeation unit.

13. The testing device according to claim 12, characterized in that: The permeation chamber comprises a high-pressure chamber and a low-pressure chamber, the lower end surface of the high-pressure chamber is provided with a lower annular groove, the lower annular groove is embedded with a high-pressure chamber sealing ring, the upper end surface of the low-pressure chamber is provided with an upper annular groove, the upper annular groove is embedded with a low-pressure chamber sealing ring, and the metal support is placed between the high-pressure chamber sealing ring and the low-pressure chamber sealing ring to support the non-metallic material; The high-pressure chamber and the low-pressure chamber tightly fit the metal support and the non-metallic material through fasteners.

14. A method for correcting performance parameters of non-metallic materials, the method using the metal support member according to any one of claims 1 to 11 or being applied to the testing device according to claim 12 or 13, characterized in that: The correction method comprises: The metal support members with different pore areas are provided with test samples, and multiple groups of gas permeation tests are performed on the test samples to obtain pressure-time variation permeation curves corresponding to the test samples with different pore areas; Based on the pressure-time variation permeation curve, generating a test gas transmission performance parameter corresponding to the test sample; Determining an ideal gas transmission performance parameter corresponding to the test gas transmission performance parameter; The gas transmission performance parameters of the test sample are corrected according to the ideal gas transmission performance parameters to obtain target gas transmission performance parameters.

15. The correction method according to claim 14, characterized in that: The test gas transmission performance parameters include a test permeability coefficient, a test diffusion coefficient and a test solubility coefficient; the test gas transmission performance parameters corresponding to the test sample generated based on the pressure-time variation permeability curve include: Determining the gas mass change rate and lag time corresponding to the test sample according to the pressure-time change permeation curve; Determining the test permeability coefficient corresponding to the test sample according to the gas mass change rate and the obtained gas transmission rate; Determining the test diffusion coefficient corresponding to the test sample according to the lag time and the thickness of the test sample; The test solubility coefficient corresponding to the test sample is determined according to the permeability coefficient and the diffusion coefficient.

16. The correction method according to claim 15, characterized in that: The test permeability coefficient is: Where P is the test permeability coefficient, mol / (m·s·Pa); d is the thickness of the test sample, m; GTR is the gas transmission rate, mol / (m 2 ·s·Pa); V C is the volume of the low pressure chamber, m 3 ; T is the test temperature, K; P H is the gas pressure of the high pressure chamber, Pa; A0 is the area of ​​the metal support, m 2 ; dp / dt is the gas mass change rate, Pa / s; R is the gas constant, R=8.31m 3 Pa / (K·mol); The test diffusion coefficient is: Where D is the test diffusion coefficient, m 2 / s; θ is the lag time; The test solubility coefficient is: Where S is the test solubility coefficient, mol / (m 3 ·pa).

17. The correction method according to claim 14, characterized in that: The step of determining the ideal gas transmission performance parameter corresponding to the test gas transmission performance parameter comprises: Determining the relative standard deviation corresponding to the test gas transmission performance parameter; When the relative standard deviation is less than 10%, the average value corresponding to the test gas transmission performance parameter is determined as the ideal gas transmission performance parameter; When the relative standard deviation is greater than or equal to 10%, constructing a curve of the test gas transmission performance parameter changing with the hole area of ​​the metal support; The variation curve is fitted, and when the hole area and the corresponding metal support area in the fitted variation curve meet preset values, the test gas transmission performance parameter corresponding to the preset value is determined as the ideal gas transmission performance parameter.

18. The correction method according to claim 14, characterized in that: The step of correcting the gas transmission performance parameter of the test sample according to the ideal gas transmission performance parameter to obtain the target gas transmission performance parameter includes: Generate a correction model corresponding to the metal support to be corrected according to the ideal gas transmission performance parameters; The gas transmission performance parameters of the test sample are corrected according to the correction model to obtain the target gas transmission performance parameters.

19. The correction method according to claim 18, characterized in that: The step of generating a correction model corresponding to the metal support to be corrected according to the ideal gas transmission performance parameter comprises: The test samples are placed on the metal supports to be corrected with different pore areas, and multiple groups of gas permeation tests are performed on the test samples to obtain the measured gas transmission performance parameters corresponding to the test samples; Normalizing the measured gas transmission performance parameter according to the ideal gas transmission performance parameter to obtain a dimensionless gas transmission performance parameter; Using power function fitting to establish the relationship between the dimensionless gas transmission performance parameter and the acquired dimensionless variable to obtain a power function model; The power function model is fitted using the least square method to obtain fitting coefficients; The power function model is updated according to the fitting coefficient to obtain the correction model corresponding to the metal support to be corrected.

20. The correction method according to claim 19, characterized in that: The ideal gas transmission performance parameters include the ideal permeability coefficient, the ideal diffusion coefficient and the ideal solubility coefficient; the measured gas transmission performance parameters include the measured permeability coefficient, the measured diffusion coefficient and the measured solubility coefficient; the dimensionless gas transmission performance parameters are: Among them, P is the measured permeability coefficient, D is the measured diffusion coefficient, S is the measured solubility coefficient, P0 is the ideal permeability coefficient, D0 is the ideal diffusion coefficient, and S0 is the ideal solubility coefficient.

21. The correction method according to claim 19, characterized in that: The power function model is: Among them, p*, d* and is a dimensionless variable, p* is the corrected pressure, d* is the corrected penetration distance, is the corrected pore area, p is the test pressure, p0 is the ideal pressure 0-140MPa, d is the thickness of the test sample, d0 is the ideal penetration distance, A p is the hole area of ​​the metal support to be corrected, A0 is the area of ​​the metal support to be corrected, is the fitting coefficient.

22. The correction method according to claim 18, characterized in that: The step of correcting the gas transmission performance parameters of the test sample according to the correction model to obtain the target gas transmission performance parameters includes: Acquire the test pressure, the thickness of the test sample and the hole area of ​​the metal support to be corrected, and generate correction parameters using the correction model; The target gas transmission performance parameter of the test sample is generated according to the measured gas transmission performance parameter and the correction parameter.

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