A performance detection system for hydrophilic aluminum foil used for air conditioner heat dissipation

Abstract

This invention relates to the field of aluminum foil performance testing technology, and discloses a performance testing system for hydrophilic aluminum foil used in air conditioning heat dissipation, including a data acquisition module and an intelligent testing module. The system acquires stamping management data, operating condition simulation data, and application testing data of all aluminum foil samples through the data acquisition module, and classifies them into datasets. The intelligent testing module evaluates the distortion degree of each aluminum foil sample after stamping, generates a distortion index, and provides accurate basis for service reliability. The multi-dimensional testing has high accuracy. The intelligent testing module evaluates the performance quality of each aluminum foil sample under simulated operating conditions, generates a performance index, eliminates the limitations of single indicators, and achieves comprehensive characterization of core properties such as hydrophilicity and corrosion resistance. It analyzes the uniformity of application performance of each aluminum foil sample, generates an application index, accurately quantifies the uniformity of coating thickness and roughness, sets fixed thresholds, and outputs corresponding evaluation and management suggestions, demonstrating strong adaptability for hierarchical management.

Description

Technical Field

[0001] This invention relates to the field of aluminum foil performance testing technology, specifically to a performance testing system for hydrophilic aluminum foil used in air conditioning heat dissipation. Background Technology

[0002] Hydrophilic aluminum foil, used as the core material for air conditioner heat dissipation fins, directly determines the air conditioner's heat dissipation efficiency, operational stability, and service life, and is crucial to the overall energy efficiency and reliability of the air conditioner. During air conditioner operation, the aluminum foil must possess excellent structural stability, hydrophilicity, corrosion resistance, weather resistance, and uniform application. After being stamped into fins, it must resist lattice distortion and coating damage to ensure reliable operation. Under complex conditions such as humidity and corrosion, it must maintain stable hydrophilicity to ensure uniform water film distribution for improved heat dissipation. Simultaneously, it must possess strong corrosion resistance and UV aging resistance to extend its service life. Furthermore, the uniform distribution of coating thickness and roughness during application is key to ensuring consistent heat dissipation and assembly compatibility.

[0003] Currently, traditional testing systems for hydrophilic aluminum foil used in air conditioning heat dissipation suffer from a disconnect between the testing scenario and actual operating conditions. They fail to fully consider the complexity of aluminum foil processing technology and service environment. During the plastic deformation process of stamping aluminum foil into fins, the aluminum foil substrate will experience lattice distortion due to stress, and the hydrophilic coating on the surface will also develop micro-cracks invisible to the naked eye. However, the samples used in conventional testing have not undergone stamping stress loading, and the coating is always in an ideal stress-free state. This makes the coating adhesion, corrosion resistance, and other indicators obtained by testing far higher than the actual performance level of the aluminum foil during actual service. In addition, this type of testing system lacks a precise handling mechanism with graded triggering, which can easily lead to resource waste or hidden quality problems. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a performance testing system for hydrophilic aluminum foil used in air conditioning heat dissipation. This system has advantages such as high accuracy in multi-dimensional testing and strong adaptability to hierarchical management. It solves the problems of traditional performance testing systems for hydrophilic aluminum foil used in air conditioning heat dissipation not fully considering the processing technology and service environment, and lacking a precise handling mechanism with hierarchical triggering.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a hydrophilic aluminum foil performance testing system for air conditioner heat dissipation, comprising a data acquisition module and an intelligent detection module; The data acquisition module connects to an XRD diffractometer, a spray hydrophilic test device, a composite corrosion test device, an ultraviolet weathering test device, a laser thickness gauge, and a roughness meter to acquire stamping management data, working condition simulation data, and application test data of all aluminum foil samples, and classifies them into aluminum foil datasets, simulation datasets, and application datasets. The intelligent detection module includes a stamping evaluation unit, a performance evaluation unit, a uniformity analysis unit, and an evaluation management unit. The stamping evaluation unit evaluates the distortion degree of each aluminum foil sample after stamping based on the aluminum foil dataset and generates a corresponding distortion index. The performance evaluation unit evaluates the performance quality of each aluminum foil sample under simulated conditions based on the aluminum foil dataset and the simulation dataset, and generates corresponding performance indices. The uniformity analysis unit analyzes the uniformity of application performance of each aluminum foil sample based on the application dataset and generates a corresponding application index. The evaluation management unit is set with a fixed distortion threshold value. Performance threshold and application threshold Combined with the distortion index Performance Index and application index Output corresponding assessment and management recommendations; Preferably, the aluminum foil dataset includes the interplanar spacing, full width at half maximum (FWHM) of diffraction peaks, dislocation density, surface area, number of microcracks, coating peeling area, and density of each aluminum foil sample.

[0006] Preferably, the simulated dataset includes dynamic hydrophilicity test data, composite corrosion test data, and ultraviolet weathering resistance test data for each aluminum foil sample. The dynamic hydrophilicity test data includes test duration, hydrophilic angle, water film thickness, and total number of test points. The composite corrosion test data includes test duration, mass loss, and corrosion potential. The ultraviolet weathering resistance test data includes hydrophilic group concentration, brightness change, red-green difference, and yellow-blue difference.

[0007] Preferably, the application dataset includes the total number of measurement points, coating thickness, and roughness for each aluminum foil sample.

[0008] Preferably, the distortion index The calculation process is as follows: S11. Based on the aluminum foil dataset, extract the first... The stamping management data of the first aluminum foil sample, and the first The interplanar spacing of the aluminum foil sample before stamping is denoted as . , will the The interplanar spacing of the aluminum foil samples after stamping is denoted as . Then calculate the first Lattice strain of an aluminum foil sample before and after stamping ; S12, the first The full width at half maximum (FWHM) of the diffraction peaks of the aluminum foil sample before stamping is denoted as . , will the The full width at half maximum (FWHM) of the diffraction peaks of the aluminum foil sample after stamping is denoted as . Then calculate the first Absolute difference in the full width at half maximum (FWHM) of diffraction peaks before and after stamping of an aluminum foil sample ; S13, the first The dislocation density of the aluminum foil sample before stamping is denoted as . , will the The dislocation density of the aluminum foil sample after stamping is denoted as . Then calculate the first The absolute difference in dislocation density of an aluminum foil sample before and after stamping ; S14, the first The surface area of ​​each aluminum foil sample is denoted as , will the The number of microcracks in an aluminum foil sample after stamping is denoted as Then calculate the first Microcrack density of an aluminum foil sample after stamping ; S15, the first The area of ​​coating peeling off after stamping of each aluminum foil sample is recorded as follows: Then calculate the first Coating peeling rate of aluminum foil samples after stamping ; S16. Based on S11-S15, calculate the first... Distortion index of an aluminum foil sample after stamping .

[0009] Preferably, the performance index The calculation process is as follows: S21. Based on the aluminum foil dataset and the working condition dataset, extract the first... The stamping management data and working condition simulation data of the first aluminum foil sample, and the first The duration of the dynamic hydrophilicity test for each aluminum foil sample is recorded as follows: , will the The initial hydrophilicity angle of the dynamic hydrophilicity test of the aluminum foil sample is denoted as . , will the The hydrophilicity angle of an aluminum foil sample after dynamic hydrophilicity test is denoted as . Then calculate the first The hydrophilic angle decay rate of each aluminum foil sample ; S22, the first In the dynamic hydrophilicity test of aluminum foil samples, the water film thickness at each measuring point was recorded as follows: , Indicates the first The total number of measurement points for each aluminum foil sample is calculated, and then the number of measurement points for the first aluminum foil sample is calculated. Water film uniformity of aluminum foil samples ; S23, the first The density of the aluminum foil sample is denoted as , will the The duration of the composite corrosion test for each aluminum foil sample is recorded as follows: , will the The mass loss in the composite corrosion test of one aluminum foil sample is denoted as . Then calculate the first Average corrosion rate of aluminum foil samples ; S24, the first The initial corrosion potential of the composite corrosion test of the aluminum foil samples is denoted as . , will the The corrosion potential of the aluminum foil sample after the composite corrosion test is denoted as . Then calculate the first Change in corrosion potential of individual aluminum foil samples ; S25, the first The initial hydrophilic group concentration for the UV weathering resistance test of each aluminum foil sample is denoted as [missing information]. , will the The concentration of hydrophilic groups after the ultraviolet weathering test of each aluminum foil sample is recorded as follows: Then calculate the first Retention rate of hydrophilic groups in each aluminum foil sample ; S26, the first The change in lightness of an aluminum foil sample during the UV weathering test is denoted as . , will the The red-green difference in the ultraviolet weathering test of an aluminum foil sample is recorded as follows: , will the The yellow-blue difference in the ultraviolet weathering test of each aluminum foil sample is recorded as follows: Then calculate the first Coating color difference of individual aluminum foil samples ; S27. Based on S21-S26, calculate the number of... using a weighted method. Performance index of aluminum foil samples .

[0010] Preferably, the application index The calculation process is as follows: Based on the application dataset, extract the first... Application test data for the first aluminum foil sample, the first A total of [number] aluminum foil samples were provided on their surfaces. The measurement points cover the center point and the edge area, and the first measurement point... The coating thickness at each measuring point of the aluminum foil sample is denoted as . , Indicates the first The coating thickness at the center point of each aluminum foil sample was measured. to Indicates the first The coating thickness at each edge measuring point of the aluminum foil sample will be measured. The roughness of each measuring point on the aluminum foil sample is denoted as follows: , Indicates the first Roughness of the center measuring point of an aluminum foil sample to Indicates the first Roughness of each edge measuring point of an aluminum foil sample; In the formula, Indicates the first The aluminum foil sample number Coating thickness at each measuring point , Indicates the first Average coating thickness of each aluminum foil sample. Indicates the first The aluminum foil sample number Roughness at each measuring point Indicates the first The average roughness of each aluminum foil sample; In the formula, Indicates the first Standard deviation of coating thickness for each aluminum foil sample. The weight representing the reciprocal of the standard deviation of the coating thickness. Indicates the first The standard deviation of roughness of an aluminum foil sample. The weight representing the reciprocal of the roughness standard deviation, and All are constants, and , Indicates the first Application index of each aluminum foil sample.

[0011] Preferably, the distortion index ≥distortion threshold When the distortion of the corresponding aluminum foil sample exceeds the standard, the triggering measures include stopping the use of aluminum foil materials that exceed the standard and adjusting the processing parameters of the stamping process.

[0012] Preferably, the performance index ≤Performance threshold When the corresponding aluminum foil sample fails to meet the performance quality standards under simulated working conditions, the triggering measures include removing the substandard aluminum foil and prohibiting it from entering the fin assembly process.

[0013] Preferably, the application index ≤ Application threshold When the uniformity of the application performance of the corresponding aluminum foil sample is not up to standard, the triggering measures include removing the substandard aluminum foil and incorporating it into the rework process.

[0014] Compared with the prior art, the present invention provides a performance testing system for hydrophilic aluminum foil used in air conditioning heat dissipation, which has the following beneficial effects: 1. This invention acquires stamping management data, working condition simulation data, and application testing data of all aluminum foil samples through a data acquisition module, and classifies them into aluminum foil datasets, simulation datasets, and application datasets. This breaks through the data limitations of a single testing device and provides comprehensive and reliable basic data support for subsequent evaluations by the intelligent testing module. Based on the aluminum foil dataset, the intelligent testing module evaluates the degree of distortion of each aluminum foil sample after stamping and generates a corresponding distortion index. It provides accurate data for service reliability and has high accuracy in multi-dimensional testing.

[0015] 2. This invention uses an intelligent detection module to evaluate the performance and quality of each aluminum foil sample under simulated working conditions, and generates corresponding performance indices. This method eliminates the limitations of single-index testing, achieves comprehensive characterization of core properties such as hydrophilicity and corrosion resistance, analyzes the uniformity of application performance for each aluminum foil sample, and generates corresponding application indices. It accurately quantifies the uniformity of coating thickness and roughness, sets fixed thresholds, and outputs corresponding evaluation and management suggestions to achieve timely control of aluminum foil exceeding the standard, thereby improving the scientific nature, comparability, and efficiency of the test, and has strong adaptability to hierarchical management. Attached Figure Description

[0016] Figure 1 This is a system flowchart of the present invention. Detailed Implementation

[0017] 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.

[0018] Example Please see Figure 1 Table 1 shows the experimental data of distortion index, and Table 2 shows the experimental data of performance index. This invention provides a performance testing system for hydrophilic aluminum foil used in air conditioning heat dissipation, including a data acquisition module and an intelligent detection module. The data acquisition module connects to an XRD diffractometer, a spray hydrophilic test device, a composite corrosion test device, an ultraviolet weathering test device, a laser thickness gauge, and a roughness meter to acquire stamping management data, working condition simulation data, and application test data of all aluminum foil samples, and classifies them into aluminum foil datasets, simulation datasets, and application datasets. The aluminum foil dataset includes the interplanar spacing, full width at half maximum (FWHM) of diffraction peaks, dislocation density, surface area, number of microcracks, coating peeling area, and density for each aluminum foil sample. The simulation dataset includes dynamic hydrophilicity test data, composite corrosion test data, and ultraviolet weathering test data for each aluminum foil sample. The dynamic hydrophilicity test data includes test duration, hydrophilic angle, water film thickness, and total number of test points. The composite corrosion test data includes test duration, mass loss, and corrosion potential. The ultraviolet weathering test data includes hydrophilic group concentration, brightness change, red-green difference, and yellow-blue difference. The application dataset includes the total number of measurement points, coating thickness, and roughness for each aluminum foil sample; The intelligent detection module includes a stamping evaluation unit, a performance evaluation unit, a uniformity analysis unit, and an evaluation management unit. The stamping evaluation unit evaluates the distortion degree of each aluminum foil sample after stamping based on the aluminum foil dataset and generates a corresponding distortion index. The calculation process is as follows: S11. Based on the aluminum foil dataset, extract the first... The stamping management data of the first aluminum foil sample, and the first The interplanar spacing of the aluminum foil sample before stamping is denoted as . , will the The interplanar spacing of the aluminum foil samples after stamping is denoted as . Then calculate the first Lattice strain of an aluminum foil sample before and after stamping Its expression is as follows: In the formula, Indicates the first Changes in interplanar spacing of an aluminum foil sample before and after stamping; S12, the first The full width at half maximum (FWHM) of the diffraction peaks of the aluminum foil sample before stamping is denoted as . , will the The full width at half maximum (FWHM) of the diffraction peaks of the aluminum foil sample after stamping is denoted as . Then calculate the first Absolute difference in the full width at half maximum (FWHM) of diffraction peaks before and after stamping of an aluminum foil sample Its expression is as follows: S13, the first The dislocation density of the aluminum foil sample before stamping is denoted as . , will the The dislocation density of the aluminum foil sample after stamping is denoted as . Then calculate the first The absolute difference in dislocation density of an aluminum foil sample before and after stamping Its expression is as follows: S14, the first The surface area of ​​each aluminum foil sample is denoted as , will the The number of microcracks in an aluminum foil sample after stamping is denoted as Then calculate the first Microcrack density of an aluminum foil sample after stamping Its expression is as follows: S15, the first The area of ​​coating peeling off after stamping of each aluminum foil sample is recorded as follows: Then calculate the first Coating peeling rate of aluminum foil samples after stamping Its expression is as follows: S16. Based on S11-S15, calculate the first... Distortion index of an aluminum foil sample after stamping Its expression is as follows: The weights representing lattice strain, The weights representing the absolute differences in the full width at half maximum (FWHM) of diffraction peaks. The weights represent the absolute differences in dislocation densities. The weight representing the microcrack density. The weight representing the coating peeling rate, , , , and All are constants, and ; Specifically, lattice strain It can intuitively reflect the degree of stretching or compression of the crystal lattice, and combined with multidimensional test data, it can be analyzed through the distortion index. It can comprehensively quantify the lattice distortion and coating damage of air conditioner aluminum foil after stamping, providing an accurate basis for the service reliability assessment of air conditioner aluminum foil after stamping into fins, while ensuring the scientific nature and comparability of the assessment results; The following are the experimental data for the distortion index, as shown in Table 1: Table 1: Experimental data on distortion index In Table 1, aluminum foil sample A was selected as the experimental material for the distortion index experimental data. Since the dimensions of each parameter in the weighted formula are quite different, the parameters need to be normalized first in actual calculation. The value after lattice strain is 0.175, the value after absolute difference of diffraction peak half width at half maximum is 0.16, the value after absolute difference of dislocation density is 0.35, the value after microcrack density is 0.1, and the value after coating peeling rate is 0.04. The weights are set as follows: , , , , ; The assessment management unit has a fixed distortion threshold. This system is used to quickly determine whether the distortion level of aluminum foil samples exceeds the standard after stamping. The value directly affects the accuracy of the system's judgment on the risk of aluminum foil stamping distortion and its adaptability to production. An excessively high distortion threshold... This can lead to a delay in the system's judgment of minor distortion exceeding the limit, failing to promptly prevent unqualified aluminum foil samples from flowing into subsequent processes. This may cause problems such as finished product quality defects and insufficient assembly precision, increasing production rework costs and quality control risks. Conversely, it may misjudge aluminum foil samples on the acceptable boundary as exceeding the limit, excessively triggering measures such as stopping material use and adjusting process parameters, resulting in frequent production interruptions, reduced production efficiency, and additional costs for process adjustments. Therefore, the optimal value of this parameter needs to be obtained through the following system calibration experiments: distortion threshold. The calibration method is as follows: The aluminum foil stamping process under different production conditions was simulated using stamping testing equipment. Different process parameters, such as stamping pressure, die clearance, and stamping speed, were set, and multiple parallel experiments were conducted with aluminum foil samples of different thicknesses and materials. In each experiment, the distortion index of the aluminum foil sample after stamping was recorded. The results also include the determination of whether the quality requirements of subsequent processes are met; then, extreme working conditions that may occur in actual production (such as material batch differences, process fluctuations caused by slight equipment wear) are simulated, the types and degrees of interference factors are adjusted, multiple sets of comparative experiments are conducted, and the distortion index is recorded. The fluctuation range and whether the system has erroneously triggered response measures will be considered. For each candidate threshold, the collected distortion index will be... Using data and quality judgment results as input, the number of times that truly exceeded the standard but no measures were triggered due to improper threshold setting (counted as missed judgments) and the number of times qualified aluminum foil samples were mistakenly judged as exceeding the standard and measures were triggered (counted as false judgments) were counted. Finally, the value that minimizes both the missed judgment rate and the false judgment rate, and is suitable for mainstream production conditions and the characteristics of aluminum foil materials, was selected as the distortion threshold. The preferred value; In Table 1, the distortion threshold is shown in the experimental data of the distortion index. The preferred value is set to 0.18. Based on the analysis, the distortion index of aluminum foil sample A is... >Distortion threshold This indicates that the distortion of aluminum foil sample A after stamping has exceeded the standard. The triggering measures include stopping the use of aluminum foil material that exceeds the standard and adjusting the processing parameters of the stamping process. The performance evaluation unit assesses the performance quality of each aluminum foil sample under simulated conditions based on the aluminum foil dataset and the simulation dataset, and generates corresponding performance indices. The calculation process is as follows: S21. Based on the aluminum foil dataset and the working condition dataset, extract the first... The stamping management data and working condition simulation data of the first aluminum foil sample, and the first The duration of the dynamic hydrophilicity test for each aluminum foil sample is recorded as follows: , will the The initial hydrophilicity angle of the dynamic hydrophilicity test of the aluminum foil sample is denoted as . , will the The hydrophilicity angle of an aluminum foil sample after dynamic hydrophilicity test is denoted as . Then calculate the first The hydrophilic angle decay rate of each aluminum foil sample Its expression is as follows: In the formula, Indicates the first The change in hydrophilicity angle of an aluminum foil sample during a dynamic hydrophilicity test; S22, the first In the dynamic hydrophilicity test of aluminum foil samples, the water film thickness at each measuring point was recorded as follows: , Indicates the first The total number of measurement points for each aluminum foil sample is calculated, and then the number of measurement points for the first aluminum foil sample is calculated. Water film uniformity of aluminum foil samples Its expression is as follows: In the formula, Indicates the first The aluminum foil sample number Water film thickness at each measuring point , Indicates the first Average water film thickness of each aluminum foil sample Indicates the first Standard deviation of water film thickness for each aluminum foil sample; S23, the first The density of the aluminum foil sample is denoted as , will the The duration of the composite corrosion test for each aluminum foil sample is recorded as follows: , will the The mass loss in the composite corrosion test of one aluminum foil sample is denoted as . Then calculate the first Average corrosion rate of aluminum foil samples Its expression is as follows: S24, the first The initial corrosion potential of the composite corrosion test of the aluminum foil samples is denoted as . , will the The corrosion potential of the aluminum foil sample after the composite corrosion test is denoted as . Then calculate the first Change in corrosion potential of individual aluminum foil samples Its expression is as follows: S25, the first The initial hydrophilic group concentration for the UV weathering resistance test of each aluminum foil sample is denoted as [missing information]. , will the The concentration of hydrophilic groups after the ultraviolet weathering test of each aluminum foil sample is recorded as follows: Then calculate the first Retention rate of hydrophilic groups in each aluminum foil sample Its expression is as follows: S26, the first The change in lightness of an aluminum foil sample during the UV weathering test is denoted as . , will the The red-green difference in the ultraviolet weathering test of an aluminum foil sample is recorded as follows: , will the The yellow-blue difference in the ultraviolet weathering test of each aluminum foil sample is recorded as follows: Then calculate the first Coating color difference of individual aluminum foil samples Its expression is as follows: S27. Based on S21-S26, calculate the number of... using a weighted method. Performance index of aluminum foil samples Its expression is as follows: In the formula, The weight representing the reciprocal of the hydrophilic angle decay rate, The weight representing the uniformity of the water film. The weight representing the reciprocal of the average corrosion rate, The weight representing the change in corrosion potential. The weights representing the retention rates of hydrophilic groups The weight representing the reciprocal of the coating color difference. , , , , and All are constants, and ; Specifically, through performance index By integrating core data from dynamic hydrophilicity tests, composite corrosion tests, and ultraviolet weathering tests of aluminum foil samples, this method not only achieves precise characterization of multiple core properties of aluminum foil, such as hydrophilicity stability, water film distribution uniformity, corrosion resistance, and weather resistance, but also eliminates the limitations of single-index evaluation through unified quantitative standards. This provides an objective and reliable technical basis for comprehensive comparison and scientific screening of aluminum foil sample performance, which is helpful for the quality control and performance optimization of air conditioning heat sink fins. The following are the experimental data for the performance index, as shown in Table 2: Table 2: Performance Index Experimental Data In Table 2, aluminum foil sample B was selected as the experimental material for the performance index test data. The weights are set as follows: , , , , , ; The evaluation management unit has fixed performance thresholds. This system is used to quickly determine whether the performance quality of aluminum foil samples meets the standards under simulated working conditions. The value directly affects the accuracy of the system's assessment of aluminum foil performance risks and the effectiveness of production screening. An excessively high performance threshold... This can lead to the system being overly stringent on aluminum foil samples nearing the acceptable threshold, misjudging samples that would meet basic assembly and usage requirements as substandard. This results in frequent rejections and prohibitions on samples from entering the fin assembly stage, causing raw material waste, reduced production efficiency, and increased production costs. Conversely, underlying the system's criteria for identifying performance defects can lower the standards, allowing substandard aluminum foil samples to pass the initial screening and enter subsequent assembly stages. This could lead to insufficient overall fin structural strength, poor heat dissipation efficiency, and other problems, affecting the reliability and lifespan of the final product and creating potential quality and safety hazards. Therefore, the optimal value for this parameter needs to be determined through the following system calibration experiments: performance threshold. The calibration method is as follows: A performance testing platform was used to simulate the actual working conditions of aluminum foil samples in real-world applications. Different test parameters, such as temperature, stress, and service life, were set. Aluminum foil samples from different production batches and specifications were selected as test objects, and multiple parallel experiments were conducted. In each experiment, the performance index of the aluminum foil sample was recorded. The results of the judgment on whether the fin assembly quality requirements are met are then used to simulate performance fluctuation scenarios that may occur in actual production (such as slight differences in material composition and minor deviations in processing technology). The types and fluctuation amplitudes of influencing factors are adjusted, and multiple sets of comparative experiments are conducted to record the performance index. The range of variation and whether the system falsely triggers the rejection measures will be considered. For each candidate threshold, the collected performance index will be... Using data and quality judgment results as input, the system counts the number of times actual performance fails to meet standards but no rejection measures are triggered due to improper threshold settings (referred to as missed judgments), and the number of times qualified aluminum foil samples are mistakenly judged as substandard and rejection measures are triggered (referred to as false judgments). The final performance threshold is selected based on the value that minimizes both the missed judgment rate and the false judgment rate, and is compatible with the fin assembly process requirements and the performance standards of the end product. The preferred value; In Table 2, the performance threshold is shown in the experimental data of the performance index. The preferred value was set to 13000. Based on the assessment, the performance index of aluminum foil sample B was... <Performance threshold This indicates that the performance and quality of aluminum foil sample B under simulated working conditions did not meet the standards. The triggering measures include removing the substandard aluminum foil and prohibiting it from entering the fin assembly process. The uniformity analysis unit analyzes the uniformity of application performance of each aluminum foil sample based on the application dataset and generates the corresponding application index. The calculation process is as follows: Based on the application dataset, extract the first... Application test data for the first aluminum foil sample, the first A total of [number] aluminum foil samples were provided on their surfaces. The measurement points cover the center point and the edge area, and the first measurement point... The coating thickness at each measuring point of the aluminum foil sample is denoted as . , Indicates the first The coating thickness at the center point of each aluminum foil sample was measured. to Indicates the first The coating thickness at each edge measuring point of the aluminum foil sample will be measured. The roughness of each measuring point on the aluminum foil sample is denoted as follows: , Indicates the first Roughness of the center measuring point of an aluminum foil sample to Indicates the first Roughness of each edge measuring point of an aluminum foil sample; In the formula, Indicates the first The aluminum foil sample number Coating thickness at each measuring point , Indicates the first Average coating thickness of each aluminum foil sample. Indicates the first The aluminum foil sample number Roughness at each measuring point Indicates the first The average roughness of each aluminum foil sample; In the formula, Indicates the first Standard deviation of coating thickness for each aluminum foil sample. The weight representing the reciprocal of the standard deviation of the coating thickness. Indicates the first The standard deviation of roughness of an aluminum foil sample. The weight representing the reciprocal of the roughness standard deviation, and All are constants, and , Indicates the first Application index of each aluminum foil sample; The evaluation management unit has application thresholds set with fixed values. Application Index ≤ Application threshold When the uniformity of the application performance of the corresponding aluminum foil sample is not up to standard, the triggering measures include removing the substandard aluminum foil and incorporating it into the rework process.

[0019] In this embodiment, the data acquisition module comprehensively captures three core data types of aluminum foil samples: stamping management, working condition simulation, and application testing. This constructs a complete aluminum foil dataset, simulation dataset, and application dataset, overcoming the data limitations of a single testing device. This provides comprehensive and reliable basic data support for subsequent evaluations by the intelligent testing module. Based on the aluminum foil dataset, the intelligent testing module evaluates the distortion degree of each aluminum foil sample after stamping and generates a corresponding distortion index. To provide accurate data on service reliability, the intelligent testing module evaluates the performance and quality of each aluminum foil sample under simulated conditions based on the aluminum foil dataset and simulation dataset, and generates corresponding performance indices. This eliminates the limitations of single indicators and achieves comprehensive characterization of core properties such as hydrophilicity and corrosion resistance. The intelligent detection module analyzes the uniformity of application performance of each aluminum foil sample based on the application dataset and generates a corresponding application index. It accurately quantifies the uniformity of coating thickness and roughness, sets fixed thresholds, and outputs corresponding assessment and management suggestions to achieve timely control of aluminum foil exceeding the standards. This improves the scientific nature, comparability, and efficiency of the test, and provides strong technical support for aluminum foil quality screening, process optimization, and air conditioner heat sink fin quality control.

[0020] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by those skilled in the art for each set of sample data; as long as it does not affect the ratio between the parameter and the quantized value, it is acceptable.

[0021] The above formulas are all derived from software simulation using a large amount of data and are selected to be close to the actual values. The coefficients in the formulas are set by those skilled in the art according to the actual situation. The above description is only a preferred embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any equivalent substitutions or changes made by those skilled in the art within the technical scope disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the protection scope of the present invention.

Claims

1. A performance testing system for hydrophilic aluminum foil used in air conditioning heat dissipation, characterized in that: Includes a data acquisition module and an intelligent detection module; The data acquisition module connects to an XRD diffractometer, a spray hydrophilic test device, a composite corrosion test device, an ultraviolet weathering test device, a laser thickness gauge, and a roughness meter to acquire stamping management data, working condition simulation data, and application test data of all aluminum foil samples, and classifies them into aluminum foil datasets, simulation datasets, and application datasets. The intelligent detection module includes a stamping evaluation unit, a performance evaluation unit, a uniformity analysis unit, and an evaluation management unit. The stamping evaluation unit evaluates the distortion degree of each aluminum foil sample after stamping based on the aluminum foil dataset and generates a corresponding distortion index. The performance evaluation unit evaluates the performance quality of each aluminum foil sample under simulated conditions based on the aluminum foil dataset and the simulation dataset, and generates corresponding performance indices. The uniformity analysis unit analyzes the uniformity of application performance of each aluminum foil sample based on the application dataset and generates a corresponding application index. The evaluation management unit is set with a fixed distortion threshold value. Performance threshold and application threshold Combined with the distortion index Performance Index and application index It will then provide corresponding assessment and management recommendations.

2. The hydrophilic aluminum foil performance testing system for air conditioner heat dissipation according to claim 1, characterized in that: The aluminum foil dataset includes the interplanar spacing, full width at half maximum (FWHM) of diffraction peaks, dislocation density, surface area, number of microcracks, coating peeling area, and density for each aluminum foil sample.

3. The hydrophilic aluminum foil performance testing system for air conditioner heat dissipation according to claim 2, characterized in that: The simulation dataset includes dynamic hydrophilicity test data, composite corrosion test data, and ultraviolet weathering test data for each aluminum foil sample. The dynamic hydrophilicity test data includes test duration, hydrophilic angle, water film thickness, and total number of test points. The composite corrosion test data includes test duration, mass loss, and corrosion potential. The ultraviolet weathering test data includes hydrophilic group concentration, brightness change, red-green difference, and yellow-blue difference.

4. The hydrophilic aluminum foil performance testing system for air conditioner heat dissipation according to claim 3, characterized in that: The application dataset includes the total number of measurement points, coating thickness, and roughness for each aluminum foil sample.

5. The hydrophilic aluminum foil performance testing system for air conditioner heat dissipation according to claim 4, characterized in that: The distortion index The calculation process is as follows: S11. Based on the aluminum foil dataset, extract the first... The stamping management data of the first aluminum foil sample, and the first The interplanar spacing of the aluminum foil sample before stamping is denoted as . , will the The interplanar spacing of the aluminum foil samples after stamping is denoted as . Then calculate the first Lattice strain of an aluminum foil sample before and after stamping ; S12, the first The full width at half maximum (FWHM) of the diffraction peaks of the aluminum foil sample before stamping is denoted as . , will the The full width at half maximum (FWHM) of the diffraction peaks after stamping of the aluminum foil sample is denoted as . Then calculate the first Absolute difference in the full width at half maximum (FWHM) of diffraction peaks before and after stamping of an aluminum foil sample ; S13, the first The dislocation density of the aluminum foil sample before stamping is denoted as . , will the The dislocation density of the aluminum foil sample after stamping is denoted as . Then calculate the first The absolute difference in dislocation density of an aluminum foil sample before and after stamping ; S14, the first The surface area of ​​each aluminum foil sample is denoted as , will the The number of microcracks in an aluminum foil sample after stamping is denoted as Then calculate the first Microcrack density of an aluminum foil sample after stamping ; S15, the first The area of ​​coating peeling off after stamping of each aluminum foil sample is recorded as follows: Then calculate the first Coating peeling rate of aluminum foil samples after stamping ; S16. Based on S11-S15, calculate the first... Distortion index of an aluminum foil sample after stamping .

6. The hydrophilic aluminum foil performance testing system for air conditioner heat dissipation according to claim 5, characterized in that: The performance index The calculation process is as follows: S21. Based on the aluminum foil dataset and the working condition dataset, extract the first... The stamping management data and working condition simulation data of the first aluminum foil sample, and the first The duration of the dynamic hydrophilicity test for each aluminum foil sample is recorded as follows: , will the The initial hydrophilicity angle of the dynamic hydrophilicity test of the aluminum foil sample is denoted as . , will the The hydrophilicity angle of an aluminum foil sample after dynamic hydrophilicity test is denoted as . Then calculate the first The hydrophilic angle decay rate of each aluminum foil sample ; S22, the first In the dynamic hydrophilicity test of aluminum foil samples, the water film thickness at each measuring point was recorded as follows: , Indicates the first The total number of measurement points for each aluminum foil sample is calculated, and then the number of measurement points for the first aluminum foil sample is calculated. Water film uniformity of aluminum foil samples ; S23, the first The density of the aluminum foil sample is denoted as , will the The duration of the composite corrosion test for each aluminum foil sample is recorded as follows: , will the The mass loss in the composite corrosion test of one aluminum foil sample is denoted as . Then calculate the first Average corrosion rate of aluminum foil samples ; S24, the first The initial corrosion potential of the composite corrosion test of the aluminum foil samples is denoted as . , will the The corrosion potential of the aluminum foil sample after the composite corrosion test is denoted as . Then calculate the first Change in corrosion potential of each aluminum foil sample ; S25, the first The initial hydrophilic group concentration for the UV weathering resistance test of each aluminum foil sample is denoted as [missing information]. , will the The concentration of hydrophilic groups after the ultraviolet weathering test of each aluminum foil sample is recorded as follows: Then calculate the first Retention rate of hydrophilic groups in each aluminum foil sample ; S26, the first The change in lightness of an aluminum foil sample during the UV weathering test is denoted as . , will the The red-green difference in the ultraviolet weathering test of an aluminum foil sample is recorded as follows: , will the The yellow-blue difference in the ultraviolet weathering test of each aluminum foil sample is recorded as follows: Then calculate the first Coating color difference of individual aluminum foil samples ; S27. Based on S21-S26, calculate the number of... using a weighted method. Performance index of aluminum foil samples .

7. The hydrophilic aluminum foil performance testing system for air conditioner heat dissipation according to claim 6, characterized in that: The application index The calculation process is as follows: Based on the application dataset, extract the first... Application test data for the first aluminum foil sample, the first A total of [number] aluminum foil samples were prepared on their surfaces. The measurement points cover the center point and the edge area, and the first measurement point... The coating thickness at each measuring point of the aluminum foil sample is denoted as . , Indicates the first The coating thickness at the center point of each aluminum foil sample was measured. to Indicates the first The coating thickness at each edge measuring point of the aluminum foil sample will be measured. The roughness of each measuring point on the aluminum foil sample is denoted as follows: , Indicates the first Roughness of the center measuring point of an aluminum foil sample to Indicates the first Roughness of each edge measuring point of an aluminum foil sample; In the formula, Indicates the first The aluminum foil sample number Coating thickness at each measuring point , Indicates the first Average coating thickness of each aluminum foil sample. Indicates the first The aluminum foil sample number Roughness at each measuring point Indicates the first The average roughness of each aluminum foil sample; In the formula, Indicates the first Standard deviation of coating thickness for each aluminum foil sample. The weight representing the reciprocal of the standard deviation of the coating thickness. Indicates the first The standard deviation of roughness of an aluminum foil sample. The weight representing the reciprocal of the roughness standard deviation and All are constants, and , Indicates the first Application index of each aluminum foil sample.

8. The hydrophilic aluminum foil performance testing system for air conditioner heat dissipation according to claim 7, characterized in that: The distortion index ≥distortion threshold When the distortion of the corresponding aluminum foil sample exceeds the standard, the triggering measures include stopping the use of aluminum foil materials that exceed the standard and adjusting the processing parameters of the stamping process.

9. The hydrophilic aluminum foil performance testing system for air conditioner heat dissipation according to claim 8, characterized in that: The performance index ≤Performance threshold When the corresponding aluminum foil sample fails to meet the performance quality standards under simulated working conditions, the triggering measures include removing the substandard aluminum foil and prohibiting it from entering the fin assembly process.

10. The hydrophilic aluminum foil performance testing system for air conditioner heat dissipation according to claim 9, characterized in that: The application index ≤ Application threshold When the uniformity of the application performance of the corresponding aluminum foil sample is not up to standard, the triggering measures include removing the substandard aluminum foil and incorporating it into the rework process.

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