A test and processing method for high-power laser protection devices using carbon nanotubes

Abstract

This application relates to the field of testing technology, and in particular to a testing method for a carbon nanotube high-power laser protection device. It includes: acquiring the signal amplitude v1 of the infrared detector and the mass m1 of the sample under test during laser flare testing; selecting the most similar standard sample from a preset standard sample database, and acquiring its infrared detector signal amplitude v2, mass m2, and specific heat capacity c2; acquiring the specific heat capacity c1 of the sample under test; acquiring the thermal conductivity k1 of the sample under test; acquiring the thermal conductivity k0 of the target sample based on k1, the mean measured thickness of the coating of the sample under test, the variance of the measured thickness of the coating of the sample under test, the mean measured thickness of the coating of the target sample, and the variance of the measured thickness of the coating of the target sample; if k0 is greater than or equal to a preset thermal conductivity threshold, then [a0%, d0] is determined as a candidate combination. This invention can improve the accuracy of determining the feasibility of a specific combination.

Description

Technical Field

[0001] This invention relates to the field of testing technology, and in particular to a testing and processing method for a high-power laser protection device using carbon nanotubes. Background Technology

[0002] Carbon nanotubes (CNTs), as a novel nanomaterial, have attracted widespread attention in the field of optical devices due to their excellent optical, electrical, and mechanical properties. CNTs possess unique nonlinear optical properties, such as multiphoton absorption, self-saturating absorption, and laser confinement effects, making them potential materials for high-power laser protection. Optical confinement materials based on carbon nanotubes exhibit significant advantages in the absorption mechanism of high-power lasers, especially when the laser intensity exceeds a certain threshold. Carbon nanotubes can adaptively adjust their absorption characteristics through their nonlinear optical response, thereby effectively reducing damage to optical components. Experimental data show that optical confinement materials doped with carbon nanotubes exhibit significant advantages in protecting against 10⁻⁶ lasers. 9 Under laser radiation at a power density of W / cm², it can maintain an absorption efficiency of over 80%, and retain stable optical performance and resistance to laser damage even after multiple laser shocks. Furthermore, the high specific surface area and good thermal conductivity of carbon nanotubes facilitate rapid heat dissipation, preventing optical damage caused by localized overheating.

[0003] High-power laser protection devices using carbon nanotubes require high thermal conductivity. The amount of nanotube doping and the coating thickness affect the thermal conductivity of these devices. Different combinations of nanotube doping and coating thickness correspond to different thermal conductivity levels. Some combinations may not meet the required thermal conductivity. Therefore, it is necessary to test high-power laser protection devices using carbon nanotubes with different combinations to determine the feasibility of specific combinations.

[0004] The thermal conductivity of high-power laser protective devices made of carbon nanotubes is typically tested using the laser flare method. However, this method has several practical problems: the laser flare method requires the sample to be processed into a small, specific-sized disc. For large-area, expensive finished laser protective coatings (i.e., the target sample), destroying the entire product for sample preparation is unacceptable; usually, only a sample can be cut from its edge or a specific location for testing. However, the coating of composite materials may have uneven thickness, which means that the thermal conductivity of a small sample cannot accurately represent the overall thermal conductivity of the entire target sample. If the thermal conductivity of a small sample is directly used as the overall thermal conductivity of the entire target sample, it will affect the accuracy of the obtained overall thermal conductivity of the target sample, and consequently, the accuracy of determining the feasibility of a specific combination method corresponding to the target sample. Summary of the Invention

[0005] The purpose of this invention is to provide a testing and processing method for high-power laser protection devices using carbon nanotubes, so as to improve the accuracy of judging whether a specific combination is feasible.

[0006] According to the present invention, a testing and processing method for carbon nanotube high-power laser protection devices is provided, the method comprising the following steps: S100, acquire the signal amplitude v1 of the infrared detector and the mass m1 of the sample under test when the sample under test is subjected to laser flare test; the sample under test is a part of the target sample, the target sample is a carbon nanotube high-power laser protection device, the carbon nanotube doping amount of the target sample is a0%, and the coating design thickness of the target sample is d0.

[0007] S200, select the standard sample most similar to the sample to be tested from the preset standard sample database, and obtain the signal amplitude v2, mass m2 and specific heat capacity c2 of the infrared detector of the most similar standard sample when performing laser flash test; the preset standard sample database includes the mass, nanotube doping amount, coating thickness, specific heat capacity, test conditions, laser energy absorption rate and signal amplitude of infrared detector of several standard samples.

[0008] S300, obtain the specific heat capacity c1 of the sample to be tested based on v1, m1, v2, m2 and c2.

[0009] S400, the thermal conductivity k1 of the sample is obtained based on c1, the thermal diffusivity α1 of the sample, and the density ρ1 of the sample.

[0010] S500, the thermal conductivity k0 of the target sample is obtained based on k1, the mean thickness of the coating of the sample to be tested, the variance of the thickness of the coating of the sample to be tested, the mean thickness of the coating of the target sample, and the variance of the thickness of the coating of the target sample.

[0011] S600, if k0 is greater than or equal to the preset thermal conductivity threshold, then [a0%,d0] is determined to be a candidate combination.

[0012] Furthermore, c1 = c2 × v2 / v1 × m2 / m1 × η1 / η2, where η1 and η2 are the laser energy absorption rates of the sample to be tested and the most similar standard sample, respectively.

[0013] Furthermore, k0 = k1 × b1 / b0 × (f1 / f0) γ b1 is the mean thickness of the coating measured in the sample to be tested, f1 is the variance of the coating measured in the sample to be tested, b0 is the mean thickness of the coating measured in the target sample, f0 is the variance of the coating measured in the target sample, and γ is the preset weight of the influence of coating uniformity on thermal conductivity.

[0014] Furthermore, the standard samples most similar to the sample to be tested are selected from the pre-defined standard sample database, including: S210, select standard samples with specified test conditions from the preset standard sample database to obtain the first standard sample set; the specified test conditions are the test conditions of the sample to be tested when performing laser flash frequency test.

[0015] S220, obtain the similarity between each standard sample in the first set of standard samples and the sample to be tested; the similarity between any standard sample in the first set of standard samples and the sample to be tested is obtained based on the difference in nanotube doping amount, mass difference and coating thickness between the standard sample and the sample to be tested.

[0016] S230, the standard sample with the highest similarity is determined as the standard sample most similar to the sample to be tested, selected from the preset standard sample database.

[0017] Furthermore, the similarity between the i-th standard sample in the first set of standard samples and the sample to be tested is yi, y i =1 / (w1×(a'0%-a' i %) 2 +w2×(m'1-m' i ) 2 +w3×(d'0–d' i ) 2 ) 1 / 2 w1, w2, and w3 are the preset weights for the influence of carbon nanotube doping amount, mass, and coating thickness on sample similarity judgment, respectively. 1+ w 2+ w3=1, w1, w2, and w3 are all greater than 0, a'0% and a i % represents the normalized results for the carbon nanotube doping content of a0% and the i-th standard sample in the first standard sample set, respectively; m'1 and m' are the results for normalization. i d'0 and d' are the results after normalizing the mass of the sample to be tested and the i-th standard sample in the first set of standard samples, respectively. i These are the results of normalizing the coating thickness of the sample to be tested and the i-th standard sample in the first set of standard samples, respectively. The value of y ranges from 1 to n, where n is the number of standard samples in the first set of standard samples.

[0018] Furthermore, the method also includes: if [a0%,d0] is determined to be a candidate combination, then the optical absorption coefficient and damage threshold of the target sample under laser radiation at the target wavelength and target power density are obtained; if the optical absorption coefficient and damage threshold of the target sample under laser radiation at the target wavelength and target power density meet the preset conditions, then [a0%,d0] is determined to be the target combination.

[0019] Furthermore, the carbon nanotube high-power laser protection device is obtained by uniformly coating a mixed solution of carbon nanotubes and polymer substrate onto an optical substrate and then subjecting it to heat treatment.

[0020] Furthermore, S600 also includes: if k0 is less than a preset thermal conductivity threshold, then it is determined that a0% does not match d0.

[0021] Furthermore, γ is obtained through fitting.

[0022] Furthermore, 1%≤a0%≤30%, 10μm≤d0≤100μm.

[0023] Compared with the prior art, the present invention has at least the following beneficial effects: This invention first obtains the thermal conductivity k1 of the sample to be tested, and then obtains the thermal conductivity k0 of the target sample based on k1, the mean and variance of the coating thickness of the sample to be tested, the mean and variance of the coating thickness of the target sample. Therefore, this invention tests a portion of the target sample (i.e., the sample to be tested). In addition to obtaining the thermal conductivity of the sample to be tested, it further combines the mean and variance of the coating thickness of the sample to be tested, the mean and variance of the coating thickness of the target sample, and the mean and variance of the coating thickness of the target sample to obtain the thermal conductivity of the target sample. Compared to existing methods that directly use the thermal conductivity of the sample to be tested as the thermal conductivity of the target sample, this invention introduces a correction model based on the thickness statistical distribution (mean and variance), considering the attenuation effect of coating non-uniformity on the overall thermal conductivity. This makes the final obtained thermal conductivity of the target sample more consistent with engineering practice, improving the accuracy of the obtained overall thermal conductivity of the target sample, and thus improving the accuracy of judging the feasibility of a specific combination (i.e., [a0%, d0]).

[0024] Furthermore, this invention selects the standard sample most similar to the sample to be tested from a pre-set standard sample database, and obtains the specific heat capacity c1 of the sample to be tested based on v1, m1, v2, m2, and c2. Thus, by introducing a comparison method with standard samples to obtain the specific heat capacity of the sample to be tested, and by selecting relevant data from the standard sample most similar to the sample to be tested to infer the specific heat capacity of the sample to be tested, this invention can eliminate system errors, improve the accuracy of the obtained specific heat capacity of the sample to be tested, and help improve the accuracy of the final judgment on whether a specific combination (i.e., [a0%, d0]) is feasible. Attached Figure Description

[0025] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0026] Figure 1 A flowchart illustrating the testing and processing method for a high-power laser protection device using carbon nanotubes provided in an embodiment of the present invention; Figure 2 This is a flowchart illustrating the steps of selecting the most similar standard sample to the sample to be tested from a preset standard sample database, as provided in an embodiment of the present invention. Detailed Implementation

[0027] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0028] According to this embodiment, as Figure 1 As shown, a testing and processing method for a high-power laser protection device using carbon nanotubes is provided, the method comprising the following steps: S100, acquire the signal amplitude v1 of the infrared detector and the mass m1 of the sample under test when the sample under test is subjected to laser flare test; the sample under test is a part of the target sample, the target sample is a carbon nanotube high-power laser protection device, the carbon nanotube doping amount of the target sample is a0%, and the coating design thickness of the target sample is d0.

[0029] In one specific implementation, the mass m1 of the sample to be tested is weighed using a precision balance. The sample is placed in a laser flare analyzer and tested under specified test conditions (such as laser energy, pulse width, detector gain, etc.). The instrument records the curve of the voltage signal output by the infrared detector changing over time, and extracts the maximum amplitude value v1 of the signal from the curve. The sample to be tested is a small portion obtained from the target sample by cutting or other means (the area within 5mm of the edge should be avoided to prevent large errors caused by edge effects), and its size meets the standard sample requirements of the laser flare analyzer.

[0030] In a preferred embodiment, 1%≤a0%≤30%, 10μm≤d0≤100μm.

[0031] As a specific implementation, the fabrication process of a high-power laser protection device with carbon nanotube doping of a0% and a coating thickness of d0 includes: First, selecting high-quality single-walled carbon nanotubes (SWCNTs) or multi-walled carbon nanotubes (MWCNTs) as reinforcing materials, with the carbon nanotube doping content controlled at a0%. To ensure uniform dispersion of carbon nanotubes in the polymer substrate, a solvent with good dispersibility, such as N,N-dimethylformamide (DMF), is selected to mix the carbon nanotubes with the polymer substrate (such as polyvinyl alcohol, polymethyl methacrylate, etc.). During solution mixing, the dispersibility of carbon nanotubes can be further improved by ultrasonic treatment or mechanical stirring to avoid agglomeration and ensure the uniformity of the composite material. The above mixed solution is uniformly coated onto an optical substrate (such as optical glass, sapphire, silicon substrate, etc.) by spin coating, spraying, or dip coating to form a d0-thickness optical limiting material layer. After coating, the material should be heat-treated to further improve its mechanical properties and thermal stability. The heat treatment temperature can be set within the range of 80°C to 150°C for 1 to 3 hours to ensure enhanced bonding between the polymer substrate and carbon nanotubes, thereby improving the durability and stability of the composite material. This allows for the production of high-power laser protection devices using carbon nanotubes with a carbon nanotube doping concentration of a0% and a coating thickness of d0.

[0032] S200, select the standard sample most similar to the sample to be tested from the preset standard sample database, and obtain the signal amplitude v2, mass m2 and specific heat capacity c2 of the infrared detector of the most similar standard sample when performing laser flash test; the preset standard sample database includes the mass, nanotube doping amount, coating thickness, specific heat capacity, test conditions, laser energy absorption rate and signal amplitude of infrared detector of several standard samples.

[0033] In one specific implementation, a pre-defined standard sample database is stored in the computer system. This database stores data on standard samples of the same type as the sample to be tested (i.e., the same type of carbon nanotubes, the same type of polymer substrate, and the same material and thickness of the substrate). The database includes at least the following fields: standard sample number, carbon nanotube doping amount, mass, coating thickness, specific heat capacity, test conditions during laser flare testing, laser energy absorptivity, and the signal amplitude of the infrared detector during laser flare testing. The specific heat capacity in the database is precisely calibrated using an absolute method (such as differential scanning calorimetry, DSC), ensuring high accuracy.

[0034] As a specific implementation method, selecting standard samples most similar to the sample to be tested from a pre-defined standard sample database includes, for example: Figure 2 As shown: S210, select standard samples with specified test conditions from the preset standard sample database to obtain the first standard sample set; the specified test conditions are the test conditions of the sample to be tested when performing laser flash frequency test.

[0035] In this embodiment, the standard samples included in the first standard sample set are all tested under specified test conditions during laser flash testing.

[0036] In this embodiment, the specific heat capacity of the sample to be tested is obtained by comparative calculation using the laser flare method. By screening standard samples with the same test conditions (such as laser energy, detector gain, etc.) as the sample to be tested, the error caused by different test conditions can be reduced.

[0037] S220, obtain the similarity between each standard sample in the first set of standard samples and the sample to be tested; the similarity between any standard sample in the first set of standard samples and the sample to be tested is obtained based on the difference in nanotube doping amount, mass difference and coating thickness between the standard sample and the sample to be tested.

[0038] As a specific implementation, the similarity between the i-th standard sample in the first set of standard samples and the sample to be tested is yi, y i =1 / (w1×(a'0%-a' i %) 2 +w2×(m'1-m' i ) 2 +w3×(d'0–d' i ) 2 ) 1 / 2 w1, w2, and w3 are the preset weights for the influence of carbon nanotube doping amount, mass, and coating thickness on sample similarity judgment, respectively. 1+ w 2+ w3=1, w1, w2, and w3 are all greater than 0, a'0% and a i % represents the normalized results for the carbon nanotube doping content of a0% and the i-th standard sample in the first standard sample set, respectively; m'1 and m' are the results for normalization. i d'0 and d' are the results after normalizing the mass of the sample to be tested and the i-th standard sample in the first set of standard samples, respectively. i These are the results of normalizing the coating thickness of the sample to be tested and the i-th standard sample in the first set of standard samples, respectively. The value of y ranges from 1 to n, where n is the number of standard samples in the first set of standard samples. w1, w2, and w3 are empirical values, or determined through sensitivity analysis methods such as principal component analysis. Those skilled in the art will understand that the normalization process is prior art and will not be described further here.

[0039] S230, the standard sample with the highest similarity is determined as the standard sample most similar to the sample to be tested, selected from the preset standard sample database.

[0040] This embodiment quantifies the similarity between standard samples and test samples to obtain the most suitable reference object in the preset standard sample database, that is, the reference object with the closest core attributes. Since the core attributes are relatively similar, it can indirectly ensure that the unquantified factors such as the laser absorption ratio, carbon nanotube dispersion, and interface bonding state of the two are more similar, thereby offsetting some unknown systematic errors (such as the deviation of signal amplitude and temperature rise ratio coefficient caused by the difference in absorption ratio) and improving the calculation accuracy of the specific heat capacity c1 of the test sample in the future.

[0041] S300, obtain the specific heat capacity c1 of the sample to be tested based on v1, m1, v2, m2 and c2.

[0042] This embodiment uses the laser flare comparison method to obtain the specific heat capacity of the sample under test. As a specific implementation, c1 = c2 × v2 / v1 × m2 / m1 × η1 / η2, where η1 and η2 are the laser energy absorptivity of the sample under test and the most similar standard sample, respectively. This formula considers the potential differences in laser absorptivity due to different samples, and by introducing an absorptivity correction factor η1 / η2, the accuracy of obtaining the specific heat capacity of the sample under test is improved.

[0043] As a specific implementation method, η1 and η2 are measured by additional experiments (such as integrating sphere method, photothermal deflection technology), and the measurement conditions (including laser wavelength, power density, etc.) must be completely consistent with the laser flare test.

[0044] S400, the thermal conductivity k1 of the sample is obtained based on c1, the thermal diffusivity α1 of the sample, and the density ρ1 of the sample.

[0045] In one specific implementation, the thermal diffusivity α1 of the sample is measured using laser scintillation or other equipment (such as the grid method). Next, the density ρ1 of the sample is measured using Archimedes' displacement method or the geometric volumetric mass method.

[0046] In this embodiment, k1 = c1 × α1 × ρ1.

[0047] S500, the thermal conductivity k0 of the target sample is obtained based on k1, the mean thickness of the coating of the sample to be tested, the variance of the thickness of the coating of the sample to be tested, the mean thickness of the coating of the target sample, and the variance of the thickness of the coating of the target sample.

[0048] In this embodiment, an empirical correction model is used, whose inputs are the thickness statistical parameters of the sample to be tested and the target sample. First, the thickness of the target sample is measured at multiple points (usually no less than 9 points) using a thickness measuring instrument (such as a micrometer or laser thickness gauge), and its mean b0 and variance f0 are calculated. Second, the thickness of the sample to be tested itself is measured multiple times, and its mean b1 and variance f1 are calculated. It should be understood that d0 in S100 is more likely a nominal design thickness, which is used to describe the basic specifications of the sample; b0 (mean) and f0 (variance) in S500 are statistical characteristic parameters obtained based on multiple, multi-point thickness measurements of the entire target sample, and they are used to accurately describe the distribution of the coating thickness.

[0049] In one specific implementation, k0 = k1 × b1 / b0 × (f1 / f0) γ Let b1 be the mean thickness of the coating measured on the sample to be tested, f1 be the variance of the coating measured on the sample to be tested, b0 be the mean thickness of the coating measured on the target sample, f0 be the variance of the coating measured on the target sample, and γ be the preset weight of the influence of coating uniformity on thermal conductivity. Here, γ is a preset empirical coefficient representing the weight of the influence of coating uniformity (variance) on thermal conductivity attenuation. It is usually determined by fitting a large amount of previous experimental data, and its value is usually between 0.2 and 0.4. Different γ values ​​can be fitted for different types of samples to be tested. b1 / b0 is used for average thickness correction (thermal resistance is directly proportional to thickness, and thermal conductivity is inversely proportional to thickness. If the overall average thickness b0 is greater than the sampling point thickness b1, then the overall thermal conductivity k0 should be less than k1), (f1 / f0). γ For thickness uniformity correction (if the overall thickness variance f0 is greater than the sampling point variance f1, it indicates that the overall uniformity is more uneven, which will introduce additional thermal resistance and lead to a decrease in effective thermal conductivity), based on this specific implementation method, this embodiment realizes the quantitative correction of the thermal conductivity of the target sample, which is beneficial to improving the accuracy of the obtained thermal conductivity of the target sample.

[0050] S600, if k0 is greater than or equal to the preset thermal conductivity threshold, then [a0%,d0] is determined to be a candidate combination.

[0051] In this embodiment, the overall thermal conductivity k0 of the target sample obtained in S500 is compared with a preset thermal conductivity threshold, which is determined based on the minimum heat dissipation capacity required for laser protection applications. If k0 is greater than or equal to the preset thermal conductivity threshold, the combination of carbon nanotube doping amount a0% and coating thickness d0 represented by the current target sample is determined to be a candidate combination that can meet the heat dissipation performance requirements (i.e., a qualified combination, indicating that the combination is feasible), and the test proceeds to the next round of testing (such as optical absorption coefficient, damage threshold, etc.) or ends.

[0052] In this embodiment, S600 further includes: if k0 is less than a preset thermal conductivity threshold, it is determined that a0% and d0 do not match, that is, the combination of carbon nanotube doping amount a0% and coating thickness d0 is determined to be a non-candidate combination (i.e., a substandard combination, indicating that the combination method is not feasible), and it may be necessary to adjust the formula (i.e., adjust the carbon nanotube doping amount, or adjust the coating thickness, or adjust the carbon nanotube doping amount and coating thickness).

[0053] In one specific implementation, the method further includes: if [a0%,d0] is determined to be a candidate combination, then the optical absorption coefficient and damage threshold of the target sample under laser radiation at the target wavelength and target power density are obtained; if the optical absorption coefficient and damage threshold of the target sample under laser radiation at the target wavelength and target power density meet preset conditions, then [a0%,d0] is determined to be a target combination.

[0054] As a specific implementation, the prepared carbon nanotube high-power laser protection device is exposed to laser radiation of different intensities (e.g., laser with a wavelength of the target wavelength and a power density longer than the target power density). Using equipment such as a laser power meter and an optical absorption measurement system, its optical absorption coefficient and damage threshold at different power densities are tested.

[0055] In one specific implementation, the target wavelength is 1064 nm and the target power density is 10. 8 W / cm² to 10¹ 0 W / cm². It should be understood that the Laser-Induced Damage Threshold (LIDT) is a key indicator measuring how much laser intensity a material can withstand without irreversible damage (such as ablation, melting, cracking, or spalling). As a specific implementation, the preset conditions include: an optical absorption coefficient greater than or equal to a preset optical absorption coefficient threshold (e.g., 0.8 / cm²), and a damage threshold greater than or equal to a preset damage threshold (e.g., 1.0 × 10¹²). 0 W / cm²).

[0056] In this embodiment, the thermal conductivity k1 of the sample to be tested is first obtained. Then, based on k1, the mean and variance of the measured coating thickness of the sample to be tested, the mean and variance of the measured coating thickness of the target sample, the thermal conductivity k0 of the target sample is obtained. Therefore, this embodiment performs testing based on a portion of the target sample (i.e., the sample to be tested). In addition to obtaining the thermal conductivity of the sample to be tested, it further combines the mean and variance of the measured coating thickness of the sample to be tested, and the mean and variance of the measured coating thickness of the target sample. The thermal conductivity of the target sample is obtained by measuring the coating thickness variance of the target sample. Compared with the existing method of directly using the thermal conductivity of the test sample as the thermal conductivity of the target sample, this embodiment introduces a correction model based on the thickness statistical distribution (mean and variance), which takes into account the attenuation effect of coating non-uniformity on the overall thermal conductivity. This makes the thermal conductivity of the target sample more consistent with engineering practice, improves the accuracy of the overall thermal conductivity of the target sample, and thus improves the accuracy of judging whether a specific combination (i.e., [a0%, d0]) is feasible.

[0057] Furthermore, in this embodiment, the standard sample most similar to the sample to be tested is selected from a preset standard sample database, and the specific heat capacity c1 of the sample to be tested is obtained according to v1, m1, v2, m2 and c2. Thus, this embodiment obtains the specific heat capacity of the sample to be tested by introducing a comparison method with standard samples, and infers the specific heat capacity of the sample to be tested from the relevant data of the standard sample most similar to the sample to be tested. This can eliminate system errors, improve the accuracy of the specific heat capacity of the sample to be tested, and help improve the accuracy of the final judgment on whether a specific combination (i.e. [a0%, d0]) is feasible.

[0058] While specific embodiments of the invention have been described in detail by way of example, those skilled in the art should understand that the examples are for illustrative purposes only and not intended to limit the scope of the invention. It should also be understood that various modifications can be made to the embodiments without departing from the scope and spirit of the invention. The scope of the invention is defined by the appended claims.

Claims

1. A testing and processing method for a high-power laser protection device using carbon nanotubes, characterized in that, The method includes the following steps: S100, acquire the signal amplitude v1 of the infrared detector and the mass m1 of the sample under test when the sample under test is subjected to laser flare test; the sample under test is a part of the target sample, the target sample is a carbon nanotube high-power laser protection device, the carbon nanotube doping amount of the target sample is a0%, and the coating design thickness of the target sample is d0. S200: Select the standard sample most similar to the sample to be tested from the preset standard sample database, and obtain the signal amplitude v2, mass m2, and specific heat capacity c2 of the infrared detector of the most similar standard sample when performing laser flare test; the preset standard sample database includes the mass, nanotube doping amount, coating thickness, specific heat capacity, test conditions, laser energy absorption rate, and signal amplitude of the infrared detector of several standard samples. S300, obtain the specific heat capacity c1 of the sample to be tested based on v1, m1, v2, m2 and c2; S400, the thermal conductivity k1 of the sample is obtained based on c1, the thermal diffusivity α1 of the sample and the density ρ1 of the sample. S500, the thermal conductivity k0 of the target sample is obtained based on k1, the mean measured thickness of the coating of the sample to be tested, the variance of the measured thickness of the coating of the sample to be tested, the mean measured thickness of the coating of the target sample, and the variance of the measured thickness of the coating of the target sample. S600, if k0 is greater than or equal to the preset thermal conductivity threshold, then [a0%,d0] is determined to be a candidate combination.

2. The testing and processing method for the carbon nanotube high-power laser protection device according to claim 1, characterized in that, c1 = c2 × v2 / v1 × m2 / m1 × η1 / η2, where η1 and η2 are the laser energy absorption rates of the sample to be tested and the most similar standard sample, respectively.

3. The testing and processing method for the carbon nanotube high-power laser protection device according to claim 1, where k0 = k1 × b1 / b0 × (f1 / f0) γ b1 is the mean thickness of the coating measured in the sample to be tested, f1 is the variance of the coating measured in the sample to be tested, b0 is the mean thickness of the coating measured in the target sample, f0 is the variance of the coating measured in the target sample, and γ is the preset weight of the influence of coating uniformity on thermal conductivity.

4. The testing and processing method for the carbon nanotube high-power laser protection device according to claim 1, characterized in that, The standard samples most similar to the sample to be tested are selected from the pre-defined standard sample database, including: S210, Select standard samples with specified test conditions from the preset standard sample database to obtain the first standard sample set; the specified test conditions are the test conditions of the sample to be tested when performing laser flash frequency test. S220, obtain the similarity between each standard sample in the first set of standard samples and the sample to be tested; the similarity between any standard sample in the first set of standard samples and the sample to be tested is obtained based on the difference in nanotube doping amount, mass difference and coating thickness between the standard sample and the sample to be tested; S230, the standard sample with the highest similarity is determined as the standard sample most similar to the sample to be tested, selected from the preset standard sample database.

5. The testing and processing method for the carbon nanotube high-power laser protection device according to claim 4, characterized in that, The similarity y between the i-th standard sample in the first set of standard samples and the sample to be tested is... i y i =1 / (w1×(a'0%-a' i %) 2 +w2×(m'1-m' i ) 2 +w3×(d'0–d' i ) 2 ) 1 / 2 w1, w2, and w3 are the preset weights for the influence of carbon nanotube doping amount, mass, and coating thickness on sample similarity judgment, respectively. 1+ w 2+ w3=1, w1, w2, and w3 are all greater than 0, a'0% and a i % represents the normalized results for the carbon nanotube doping content of a0% and the i-th standard sample in the first standard sample set, respectively; m'1 and m' are the results for normalization. i d'0 and d' are the results after normalizing the mass of the sample to be tested and the i-th standard sample in the first set of standard samples, respectively. i These are the results of normalizing the coating thickness of the sample to be tested and the i-th standard sample in the first set of standard samples, respectively. The value of y ranges from 1 to n, where n is the number of standard samples in the first set of standard samples.

6. The testing and processing method for the carbon nanotube high-power laser protection device according to claim 1, characterized in that, The method further includes: if [a0%,d0] is determined to be a candidate combination, then the optical absorption coefficient and damage threshold of the target sample under laser radiation at the target wavelength and target power density are obtained; if the optical absorption coefficient and damage threshold of the target sample under laser radiation at the target wavelength and target power density meet the preset conditions, then [a0%,d0] is determined to be the target combination.

7. The testing and processing method for the carbon nanotube high-power laser protection device according to claim 6, characterized in that, The carbon nanotube high-power laser protection device is obtained by uniformly coating a mixed solution of carbon nanotubes and polymer substrate onto an optical substrate and then subjecting it to heat treatment.

8. The testing and processing method for the carbon nanotube high-power laser protection device according to claim 1, characterized in that, S600 also includes: if k0 is less than a preset thermal conductivity threshold, then a0% is determined to be mismatched with d0.

9. The testing and processing method for the carbon nanotube high-power laser protection device according to claim 3, characterized in that, γ is obtained through fitting.

10. The testing and processing method for the carbon nanotube high-power laser protection device according to claim 1, characterized in that, 1%≤a0%≤30%, 10μm≤d0≤100μm.

Images