Method and system for detecting performance of silicon steel self-adhesive coating, and medium

Abstract

This invention relates to the field of coating performance testing technology, and particularly to a method, system, and medium for testing the performance of self-adhesive coatings on silicon steel. The technical solution includes the following steps: emitting X-rays onto the self-adhesive coating on the silicon steel to be tested during the hot-pressing process; real-time acquisition of carbon characteristic X-rays from the self-adhesive coating on the silicon steel to be tested, obtaining the real-time intensity of the carbon characteristic X-rays of the self-adhesive coating; real-time acquisition of iron characteristic X-rays from the self-adhesive coating on the silicon steel to be tested, obtaining the real-time intensity of the iron characteristic X-rays of the self-adhesive coating; and calculating the real-time thickness of the self-adhesive coating on the silicon steel to be tested based on the obtained real-time intensities of the carbon and iron characteristic X-rays of the self-adhesive coating. The solution of this invention does not depend on the conductivity of the coating, is applicable to non-conductive epoxy coatings, ensures testing accuracy through multi-parameter fusion calculation and temperature compensation mechanisms, and integrates an adhesive overflow risk assessment function, effectively improving the comprehensiveness and efficiency of performance testing of self-adhesive coatings on silicon steel.

Description

Technical Field

[0001] This invention relates to the field of coating performance testing technology, and in particular to a method, system and medium for testing the performance of self-adhesive coatings on silicon steel. Background Technology

[0002] Silicon steel self-adhesive coating is a coating applied to the surface of a metal material through a hot-pressing process. During the hot-pressing process, the thickness and curing rate of the silicon steel self-adhesive coating on the metal surface are important performance indicators, and these factors are crucial to the properties of the resulting metal surface.

[0003] To measure the thickness and curing rate of silicon steel self-adhesive coatings on metal surfaces during the hot-pressing process, methods such as eddy current testing or laser interferometry are commonly used. Eddy current testing of silicon steel self-adhesive coatings is a non-destructive testing technique based on the principle of electromagnetic induction. Its core principle is to generate an electromagnetic field in the probe coil using a high-frequency AC signal. When the probe is close to a conductor, eddy currents are formed. The distance between the probe and the conductive substrate (i.e., the thickness of the silicon steel self-adhesive coating) affects the magnitude of the eddy currents and the reflection impedance, thus quantifying the thickness of the silicon steel self-adhesive coating through the feedback signal. Laser interferometry is a non-contact coating thickness measurement method based on the interference phenomenon of light. It accurately calculates the thickness of the silicon steel self-adhesive coating by analyzing the interference fringes formed after the laser light is reflected from the upper and lower surfaces of the coating.

[0004] However, existing methods for testing the performance of self-adhesive coatings on silicon steel have significant shortcomings: eddy current methods are not suitable for thickness testing of non-conductive epoxy coatings, limiting their application scope; while laser interferometry can achieve non-contact measurement, it is easily affected by the oxide layer on the silicon steel surface, leading to decreased measurement accuracy. Furthermore, this method suffers from a lag in detecting the curing rate of the self-adhesive coating and cannot simultaneously detect the thickness and curing rate, severely reducing the efficiency of performance testing for silicon steel self-adhesive coatings. Therefore, this application proposes a method, system, and medium for testing the performance of self-adhesive coatings on silicon steel. Summary of the Invention

[0005] The purpose of this invention is to address the problems existing in the background art by proposing a method, system, and medium for testing the performance of self-adhesive coatings on silicon steel.

[0006] Firstly, this application provides a method for testing the performance of self-adhesive coatings on silicon steel, comprising the following steps:

[0007] S1. Emit X-rays to the self-adhesive coating on the silicon steel to be tested during the hot pressing process;

[0008] S2. Real-time acquisition of carbon characteristic X-rays on the self-adhesive coating on the silicon steel to be tested, and obtaining the real-time intensity of carbon characteristic X-rays on the self-adhesive coating;

[0009] S3. Real-time acquisition of iron characteristic X-rays on the self-adhesive coating on the silicon steel to be tested, and obtaining the real-time intensity of iron characteristic X-rays on the self-adhesive coating;

[0010] S4. Based on the real-time X-ray intensity of the carbon characteristic of the self-adhesive coating and the real-time X-ray intensity of the iron characteristic of the self-adhesive coating, the real-time thickness of the self-adhesive coating on the silicon steel to be tested is calculated.

[0011] S5. The curing rate detection device for real-time acquisition and detection of self-adhesive coating curing rate, after temperature compensation, has a curing rate detection loss factor and real-time SWIR absorbance of the self-adhesive coating on the silicon steel to be tested.

[0012] S6. Based on the real-time thickness of the self-adhesive coating on the silicon steel to be tested, the collected curing rate detection loss factor, and the real-time SWIR absorbance of the self-adhesive coating, the real-time curing rate of the self-adhesive coating on the silicon steel to be tested is calculated.

[0013] Optionally, after performing step S6, the method further includes: calculating the real-time risk level of self-adhesive coating overflow on the silicon steel to be tested; and outputting the real-time risk level of self-adhesive coating overflow to an external party.

[0014] Optionally, the real-time thickness of the self-adhesive coating on the silicon steel to be tested is calculated as follows:

[0015]

[0016] in, This represents the real-time thickness of the self-adhesive coating on the silicon steel to be tested. To obtain the fitting constant for the experimental data that is positively correlated with the thickness of the silicon steel to be tested, The real-time X-ray intensity of the carbon feature of the self-adhesive coating. The real-time X-ray intensity of the self-adhesive coated iron is shown.

[0017] Optionally, the real-time curing rate of the self-adhesive coating on the silicon steel to be tested is calculated as follows:

[0018]

[0019] in, The real-time curing rate of the self-adhesive coating on the silicon steel to be tested. Factors related to the curing rate detection device, The curing rate is measured as a loss factor. The infrared characteristic constants of the coating material are... The real-time absorbance of the self-adhesive coating on the silicon steel to be tested is given. For coating thickness correction parameters, The real-time thickness of the self-adhesive coating on the silicon steel to be tested.

[0020] Optionally, the real-time risk level of adhesive overflow on the self-adhesive coating on the silicon steel to be tested is calculated as follows:

[0021]

[0022] in, The real-time risk level of adhesive overflow on the self-adhesive coating on the silicon steel under test. This refers to the real-time temperature for hot-press curing. The real-time pressure for hot-press curing. The real-time thickness of the self-adhesive coating on the silicon steel to be tested.

[0023] Optionally, the real-time risk level of adhesive overflow on the self-adhesive coating on the silicon steel under test. The specific calculation method is as follows:

[0024]

[0025] in, The optimal operating temperature for hot pressing equipment. The optimal working pressure for the hot pressing process equipment. The theoretical coating thickness, These are the coefficients for the temperature term, pressure term, and thickness term, respectively.

[0026] Optional, The value range is 180℃~250℃. The value range is 1.5MPa to 4.0MPa. The value range is 1.5μm to 2.5μm.

[0027] Secondly, this application provides a silicon steel self-adhesive coating performance testing system for implementing the silicon steel self-adhesive coating performance testing method described in the first aspect. The system includes:

[0028] X-ray emitting device, used to emit X-rays onto the self-adhesive coating on the silicon steel to be tested during the hot pressing process;

[0029] A carbon characteristic X-ray intensity detection device is used to collect carbon characteristic X-rays on the self-adhesive coating on the silicon steel under test in real time, and obtain the real-time intensity of carbon characteristic X-rays on the self-adhesive coating.

[0030] The iron characteristic X-ray intensity detection device is used to collect iron characteristic X-rays on the self-adhesive coating on the silicon steel under test in real time, and obtain the real-time intensity of iron characteristic X-rays on the self-adhesive coating.

[0031] A temperature compensation detection device is used to collect the curing rate detection loss factor of the curing rate detection device in real time after temperature compensation.

[0032] The SWIR spectral imaging device is used to acquire the real-time SWIR absorbance of the self-adhesive coating on the silicon steel under test.

[0033] The self-adhesive coating thickness detection device is connected to the carbon characteristic X-ray intensity detection device and the iron characteristic X-ray intensity detection device respectively. It is configured to calculate the real-time thickness of the self-adhesive coating on the silicon steel to be tested based on the obtained real-time intensity of the carbon characteristic X-ray of the self-adhesive coating and the real-time intensity of the iron characteristic X-ray of the self-adhesive coating.

[0034] The self-adhesive coating curing rate detection device is connected to a self-adhesive coating thickness detection device, a temperature compensation detection device, and a SWIR spectral imaging device. It is used to calculate the real-time curing rate of the self-adhesive coating on the silicon steel to be tested based on the real-time thickness of the self-adhesive coating on the silicon steel to be tested, the real-time collected curing rate detection loss factor, and the real-time SWIR absorbance of the self-adhesive coating.

[0035] Optionally, the self-adhesive coating thickness detection device calculates the real-time thickness of the self-adhesive coating on the silicon steel to be tested according to the following method:

[0036]

[0037] in, This represents the real-time thickness of the self-adhesive coating on the silicon steel to be tested. To obtain the fitting constant for the experimental data that is positively correlated with the thickness of the silicon steel to be tested, The real-time X-ray intensity of the carbon feature of the self-adhesive coating. The real-time X-ray intensity of the self-adhesive coated iron feature;

[0038] The self-adhesive coating curing rate detection device (7) calculates the real-time curing rate of the self-adhesive coating on the silicon steel to be tested according to the following method:

[0039]

[0040] in, The real-time curing rate of the self-adhesive coating on the silicon steel to be tested. Factors related to the curing rate detection device, The curing rate is measured as a loss factor. The infrared characteristic constants of the coating material are... The real-time absorbance of the self-adhesive coating on the silicon steel to be tested is given. For coating thickness correction parameters, The real-time thickness of the self-adhesive coating on the silicon steel to be tested.

[0041] Thirdly, this application provides a readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the silicon steel self-adhesive coating performance testing method described in the first aspect.

[0042] Compared with the prior art, this application includes at least one of the following beneficial technical effects:

[0043] This invention employs X-ray fluorescence spectroscopy to calculate the coating thickness by emitting X-rays onto the self-adhesive coating and collecting the characteristic X-ray intensities of carbon and iron elements. The characteristic X-rays of carbon originate from the coating itself, while the characteristic X-rays of iron originate from the silicon steel substrate. This detection principle does not depend on the conductivity of the coating and is applicable to the thickness detection of non-conductive epoxy coatings. It overcomes the limitation of eddy current methods in detecting non-conductive coatings and expands the applicability of the detection method.

[0044] This invention uses the intensity ratio of carbon characteristic X-rays to iron characteristic X-rays as the basic parameter for thickness calculation. This ratio can effectively eliminate the combined influence of factors such as X-ray source intensity fluctuations, detection distance changes, and environmental interference on the measurement results, thereby improving the accuracy and stability of coating thickness detection.

[0045] This invention combines thickness detection based on X-ray fluorescence spectroscopy with curing rate detection based on temperature compensation loss factor and SWIR spectral analysis. It simultaneously completes the real-time measurement of two key performance indicators, self-adhesive coating thickness and curing rate, in the same detection process, without the need to use different detection equipment and procedures, thus improving the efficiency and timeliness of performance testing of silicon steel self-adhesive coatings.

[0046] This invention introduces a temperature-compensated detection device to collect the temperature-compensated curing rate detection loss factor in real time during curing rate detection, eliminating the influence of ambient temperature fluctuations on the measurement accuracy of the curing rate detection device. At the same time, a coating thickness correction parameter is introduced into the curing rate calculation model, and the calculated curing rate result is corrected using the measured real-time coating thickness, further improving the accuracy of curing rate detection.

[0047] This invention calculates and outputs the real-time risk level of self-adhesive coating overflow based on the real-time temperature, real-time pressure, and measured real-time coating thickness during hot-press curing. It correlates the coating thickness detection results with the hot-pressing process parameters, realizing real-time assessment and early warning of overflow risk, and providing data support for timely adjustment of process parameters and implementation of risk response measures.

[0048] In summary, the solution of this invention does not depend on the conductivity of the coating and is applicable to non-conductive epoxy coatings. The detection accuracy is guaranteed by multi-parameter fusion calculation and temperature compensation mechanism, and the overflow risk assessment function is integrated, which effectively improves the comprehensiveness and detection efficiency of the performance testing of silicon steel self-adhesive coatings. Attached Figure Description

[0049] Figure 1 This is a schematic diagram of the process for testing the performance of self-adhesive coatings on silicon steel in an embodiment of the present invention;

[0050] Figure 2 This is a schematic diagram of the silicon steel self-adhesive coating performance testing system in an embodiment of the present invention. Detailed Implementation

[0051] The following specific examples illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that, unless otherwise specified, the following embodiments and features described therein can be combined with each other.

[0052] Example 1

[0053] This embodiment provides a method for testing the performance of self-adhesive coatings on silicon steel. See also... Figure 1 As shown, the performance testing method for silicon steel self-adhesive coating in this embodiment includes the following steps 1 to 6.

[0054] Step 1: Emit X-rays onto the self-adhesive coating on the silicon steel to be tested during the hot-pressing process.

[0055] Specifically, an X-ray emitting device is used to emit X-rays onto the self-adhesive coating on the silicon steel to be tested during the hot-pressing process. The X-ray emitting device can be an X-ray tube. After the emitted X-rays are incident on the self-adhesive coating on the surface of the silicon steel to be tested, they excite the carbon elements in the coating and the iron elements in the silicon steel matrix to produce corresponding characteristic X-rays, namely carbon characteristic X-rays and iron characteristic X-rays.

[0056] Step 2: Real-time acquisition of carbon characteristic X-rays on the self-adhesive coating on the silicon steel to be tested, to obtain the real-time intensity of carbon characteristic X-rays on the self-adhesive coating.

[0057] Carbon, as a major component of self-adhesive coatings, produces characteristic carbon X-rays with specific energies when excited by X-rays. These characteristic X-rays are acquired in real time using a carbon characteristic X-ray intensity detection device (such as an X-ray detector equipped with a dedicated carbon spectroscopic crystal) and converted into corresponding intensity signals, denoted as . This intensity signal reflects the carbon content information in the coating.

[0058] Step 3: Real-time acquisition of iron characteristic X-rays on the self-adhesive coating on the silicon steel to be tested, and obtaining the real-time intensity of the iron characteristic X-rays of the self-adhesive coating.

[0059] Iron, as a major component of silicon steel matrix, produces characteristic iron X-rays with specific energies when excited by X-rays. These characteristic iron X-rays are collected in real time using an X-ray detector equipped with a special spectroscopic crystal for iron, and converted into a corresponding intensity signal, denoted as _____. This intensity signal reflects information about the silicon steel substrate and serves as a reference for coating thickness calculation.

[0060] Step 4: Calculate the real-time thickness of the self-adhesive coating on the silicon steel to be tested based on the real-time X-ray intensity of the carbon characteristic of the self-adhesive coating and the real-time X-ray intensity of the iron characteristic of the self-adhesive coating.

[0061] In this embodiment, the real-time thickness of the self-adhesive coating on the silicon steel to be tested is calculated as follows:

[0062]

[0063] in, This represents the real-time thickness of the self-adhesive coating on the silicon steel to be tested. To obtain the fitting constant for the experimental data that is positively correlated with the thickness of the silicon steel to be tested, The real-time X-ray intensity of the carbon feature of the self-adhesive coating. The value represents the real-time intensity of the characteristic X-ray radiation on iron in the self-adhesive coating. The principle behind this formula is that the carbon content in the self-adhesive coating is directly related to the coating thickness, while the iron content in the silicon steel substrate is relatively stable and unaffected by changes in coating thickness. Therefore, the ratio of the characteristic X-ray intensity of carbon to that of iron can effectively characterize the coating thickness. (Constant) The value of is positively correlated with the thickness of the silicon steel being tested; that is, the thicker the silicon steel matrix, the longer the X-ray penetration path, and the intensity ratio of carbon characteristic X-rays to iron characteristic X-rays changes accordingly. This is used to correct for the impact of this variation on the thickness measurement results. Those skilled in the art can obtain the corresponding constant by fitting limited experimental data based on the actual thickness of the silicon steel being measured. The specific value.

[0064] Step 5: Real-time acquisition of the curing rate detection device for the self-adhesive coating curing rate, after temperature compensation, the curing rate detection loss factor, and the real-time SWIR absorbance of the self-adhesive coating on the silicon steel to be tested.

[0065] In this embodiment, a curing rate detection device is used to detect the curing rate of the self-adhesive coating in real time. This curing rate detection device has a temperature compensation function. During operation, the curing rate detection device outputs a loss factor, which is related to the degree of curing of the coating but is affected by ambient temperature and thus drifts. Therefore, the curing rate detection device is equipped with a temperature compensation detection device. This temperature compensation detection device monitors the ambient temperature in real time and uses a built-in temperature compensation algorithm to correct the loss factor output by the curing rate detection device, obtaining a temperature-compensated curing rate detection loss factor, denoted as [missing information]. The curing rate testing device can specifically employ dielectric analysis, ultrasonic testing, or other sensing devices suitable for coating curing rate testing, as long as its output signal can reflect the degree of coating curing and has temperature compensation function.

[0066] Simultaneously, a short-wave infrared (SWIR) spectral imaging device is used to collect the real-time SWIR absorbance of the self-adhesive coating on the silicon steel under test. The SWIR spectral imaging device emits short-wave infrared light towards the self-adhesive coating and detects the intensity of reflected or transmitted light, calculating the absorbance based on the absorption at a specific wavelength. The epoxy groups in the self-adhesive coating have characteristic absorption peaks in the short-wave infrared region. The intensity of these absorption peaks is related to the number of unreacted epoxy groups in the coating, and thus to the degree of curing of the coating. In this embodiment, the real-time SWIR absorbance of the self-adhesive coating is denoted as... Specifically, the difference in absorbance at a specific wavelength before and after the curing reaction can be used to eliminate background interference.

[0067] Step 6: Based on the real-time thickness of the self-adhesive coating on the silicon steel to be tested, the real-time temperature-compensated curing rate detection loss factor, and the real-time SWIR absorbance of the self-adhesive coating, calculate the real-time curing rate of the self-adhesive coating on the silicon steel to be tested.

[0068] In this embodiment, the real-time curing rate of the self-adhesive coating on the silicon steel to be tested is calculated as follows:

[0069]

[0070] in, The real-time curing rate of the self-adhesive coating on the silicon steel to be tested. Factors related to the curing rate detection device, The loss factor for the curing rate after temperature compensation was determined. The infrared characteristic constants of the coating material are... The real-time absorbance of the self-adhesive coating on the silicon steel to be tested is given. For coating thickness correction parameters, The real-time thickness of the self-adhesive coating on the silicon steel to be tested.

[0071] The above formula for calculating the curing rate means that the logarithm of the temperature-compensated loss factor output by the curing rate detection device has a linear relationship with the curing rate. Calibration was performed; a linear relationship also exists between SWIR real-time absorbance and curing rate, as determined by the infrared characteristic constants of the coating material. Perform calibration. The specific value depends on the infrared absorption characteristics of the epoxy resin in the self-adhesive coating material. Meanwhile, since the absorbance measurement of the SWIR spectrum is affected by the coating thickness—the thicker the coating and the longer the optical path, the higher the absorbance measurement value—a coating thickness correction parameter is introduced. Using the real-time coating thickness measured in step 4 Thickness correction is applied to the curing rate calculation results. The specific value depends on the hardware characteristics and sensitivity of the curing rate detection device. The value of depends on the optical properties of the coating material and its influence on SWIR absorption. All of the above parameters can be determined in advance through calibration tests.

[0072] The method for testing the performance of self-adhesive coatings on silicon steel in this embodiment involves emitting X-rays onto the self-adhesive coating on the silicon steel to be tested during the hot-pressing process. Then, the carbon characteristic X-rays and iron characteristic X-rays of the self-adhesive coating on the silicon steel to be tested are collected in real time, and the real-time intensity of the carbon characteristic X-rays and iron characteristic X-rays of the self-adhesive coating are obtained. Based on these real-time intensities, the real-time thickness of the self-adhesive coating on the silicon steel to be tested is calculated. Furthermore, the curing rate detection device for detecting the curing rate of the self-adhesive coating, after temperature compensation, and the real-time SWIR absorbance of the self-adhesive coating on the silicon steel to be tested are collected in real time. Finally, based on the real-time thickness of the self-adhesive coating on the silicon steel to be tested, the real-time collected curing rate detection loss factor, and the real-time SWIR absorbance of the self-adhesive coating, the real-time curing rate of the self-adhesive coating on the silicon steel to be tested is calculated. This not only improves the applicability and accuracy of the performance testing method for self-adhesive coatings on silicon steel, but also enables real-time synchronous testing of the thickness and curing rate of the self-adhesive coating, thus improving the efficiency and timeliness of performance testing for self-adhesive coatings on silicon steel.

[0073] As an improvement, the silicon steel self-adhesive coating performance testing method of this embodiment further includes, after performing step 6: calculating the real-time risk level of self-adhesive coating overflow on the silicon steel to be tested; and outputting the real-time risk level of self-adhesive coating overflow to the outside world.

[0074] Specifically, the real-time risk level of adhesive overflow on the self-adhesive coating of the silicon steel under test is calculated as follows:

[0075]

[0076] in, The real-time risk level of adhesive overflow on the self-adhesive coating on the silicon steel under test. This refers to the real-time temperature for hot-press curing. The real-time pressure for hot-press curing. The real-time thickness of the self-adhesive coating on the silicon steel to be tested.

[0077] As a specific implementation, the real-time risk level of self-adhesive coating overflow on the silicon steel under test is determined. The specific calculation method is as follows:

[0078]

[0079] in, The optimal operating temperature for hot pressing equipment. The optimal working pressure for the hot pressing process equipment. This represents the theoretical coating thickness. Parameter , and These parameters are all related to specific equipment; their values ​​will differ for different equipment and even different product molds. For example, under conventional process conditions, they are typically set to... The temperature range is between 180℃ and 250℃. The range is between 1.5 MPa and 4.0 MPa. The range is between 1.5μm and 2.5μm. The coefficients 0.015, -6.65, and 11.2 in the above formula are exemplary values. Those skilled in the art can obtain the corresponding coefficient values ​​by fitting limited experimental data based on specific process equipment and product molds.

[0080] It should be noted that the silicon steel self-adhesive coating performance testing method in this embodiment calculates the real-time risk level of adhesive overflow on the silicon steel under test, thus establishing a correlation between the relevant performance data of the self-adhesive coating and the risks of the hot-pressing process. This allows for real-time and timely monitoring of the adhesive overflow risk, preventing its occurrence, and enabling the implementation of corresponding self-adhesive coating curing risk mitigation measures as needed. For example, the self-adhesive coating curing risk mitigation measures here could include increasing the temperature of the self-adhesive coating drying line or increasing the speed of the self-adhesive coating production line.

[0081] This embodiment also provides a silicon steel self-adhesive coating performance testing system for implementing the above-described silicon steel self-adhesive coating performance testing method. Specifically, see... Figure 2As shown, the silicon steel self-adhesive coating performance testing system of this embodiment includes an X-ray emitting device, a carbon characteristic X-ray intensity testing device, an iron characteristic X-ray intensity testing device, a temperature compensation testing device, a SWIR spectral imaging device, a self-adhesive coating thickness testing device, and a self-adhesive coating curing rate testing device.

[0082] The self-adhesive coating thickness detection device is connected to both the carbon characteristic X-ray intensity detection device and the iron characteristic X-ray intensity detection device. The self-adhesive coating curing rate detection device is connected to the self-adhesive coating thickness detection device, the temperature compensation detection device, and the SWIR spectral imaging device. In this embodiment, the specific functions and configurations of each device are as follows:

[0083] The X-ray emitting device is used to emit X-rays onto the self-adhesive coating on the silicon steel to be tested during the hot-pressing process. This device can employ an X-ray tube, and the energy and intensity of the emitted X-rays should be selected based on the specific materials of the silicon steel and the self-adhesive coating to ensure effective excitation of the characteristic X-rays of carbon and iron.

[0084] A carbon characteristic X-ray intensity detection device is used to acquire carbon characteristic X-rays from a self-adhesive coating on a silicon steel sample in real time, obtaining the real-time intensity of the carbon characteristic X-rays from the self-adhesive coating. This device typically includes a spectrophotometer and a detector. The spectrophotometer is used to select carbon characteristic X-rays of specific energies, and the detector is used to convert the X-ray signal into an electrical signal and output the intensity value.

[0085] The iron characteristic X-ray intensity detection device is used to acquire iron characteristic X-rays on the self-adhesive coating of silicon steel in real time, and obtain the real-time intensity of the iron characteristic X-rays of the self-adhesive coating. This device also includes a spectroscopic crystal and a detector, but its spectroscopic crystal is selectively configured to detect the energy of the iron characteristic X-rays.

[0086] The temperature compensation detection device is used to collect the curing rate detection loss factor of the curing rate detection device in real time after temperature compensation. The device includes a temperature sensor and a temperature compensation calculation unit. The temperature sensor monitors the ambient temperature in real time, and the temperature compensation calculation unit corrects the original loss factor output by the curing rate detection device according to a preset temperature compensation algorithm, outputting the temperature-compensated curing rate detection loss factor. .

[0087] The SWIR spectral imaging device is used to acquire the real-time SWIR absorbance of the self-adhesive coating on silicon steel under test. The device includes a short-wave infrared light source, a spectrometer, and an infrared detector. The short-wave infrared light source emits short-wave infrared light covering a specific wavelength band, the spectrometer selects infrared light of a specific wavelength, and the infrared detector detects the intensity of reflected or transmitted light and calculates the absorbance value. .

[0088] The self-adhesive coating thickness detection device is used to calculate the real-time thickness of the self-adhesive coating on the silicon steel to be tested based on the real-time intensity of the carbon characteristic X-rays and the real-time intensity of the iron characteristic X-rays of the self-adhesive coating, using the following calculation method:

[0089]

[0090] in, This represents the real-time thickness of the self-adhesive coating on the silicon steel to be tested. To obtain the fitting constant for the experimental data that is positively correlated with the thickness of the silicon steel to be tested, The real-time X-ray intensity of the carbon feature of the self-adhesive coating. The real-time X-ray intensity of the self-adhesive coated iron is shown.

[0091] The self-adhesive coating curing rate detection device is used to determine the real-time curing rate of the self-adhesive coating on the silicon steel under test based on the real-time thickness of the self-adhesive coating on the silicon steel under test, the real-time temperature-compensated curing rate detection loss factor, and the real-time SWIR absorbance of the self-adhesive coating. The real-time curing rate of the self-adhesive coating on the silicon steel under test is calculated using the following method:

[0092]

[0093] in, The real-time curing rate of the self-adhesive coating on the silicon steel to be tested. Factors related to the curing rate detection device, The curing rate is measured as a loss factor. The infrared characteristic constants of the coating material are... The real-time absorbance of the self-adhesive coating on the silicon steel to be tested is given. For coating thickness correction parameters, The real-time thickness of the self-adhesive coating on the silicon steel to be tested.

[0094] To verify the performance of the aforementioned silicon steel self-adhesive coating performance testing method and system, parameters were set in the verification experiment of this embodiment. The factor is 10.52, which is related to the curing rate detection device. The infrared characteristic constant of the coating material is 25.6. -18.2, coating thickness correction parameter The value was 0.7. After data acquisition and testing, the real-time intensity of the carbon characteristic X-ray of the self-adhesive coating was determined. Real-time X-ray intensity of self-adhesive coated iron Intensity ratio The curing rate loss factor after temperature compensation is 0.038. The real-time absorbance of the self-adhesive coating is 1.27. The value is -0.12. Simultaneously, the real-time temperature of the hot-press curing process is obtained from the sensors of the hot-pressing equipment. The real-time pressure for hot pressing curing is 185℃. It is 2.2 MPa.

[0095] The real-time thickness calculation process for the self-adhesive coating on the silicon steel under test is as follows:

[0096]

[0097] The calculation process for the real-time curing rate of the self-adhesive coating on the silicon steel under test is as follows:

[0098]

[0099]

[0100]

[0101] in, The curing rate was 41.3% according to the control test data.

[0102] Real-time risk level of self-adhesive coating overflow on the silicon steel under test The calculation process is as follows:

[0103]

[0104]

[0105]

[0106] Real-time risk level of glue spillage calculated The value is 2.03, which is considered a low-risk level.

[0107] The test results were compared and verified with the offline laboratory test results: the thickness of the self-adhesive coating was obtained by offline laboratory testing. The thickness is 2.10 μm, and the self-adhesive coating curing rate is... The accuracy was 39.8%. The error between the test results of this invention and the offline laboratory test results was less than 4%. The above verification results show that the silicon steel self-adhesive coating performance testing method provided by this invention has high testing accuracy and reliability.

[0108] This embodiment also provides a readable storage medium. Specifically, the readable storage medium stores a computer program, which, when executed by a processor, implements the aforementioned method for testing the performance of self-adhesive coatings on silicon steel. The readable storage medium can be any medium capable of storing program code, such as ROM, RAM, magnetic disk, optical disk, or USB flash drive.

[0109] The above specific embodiments are merely several optional embodiments of the present invention. Based on the technical solutions of the present invention and the relevant teachings of the above embodiments, those skilled in the art can make various alternative improvements and combinations to the above specific embodiments.

Claims

1. A method for testing the performance of self-adhesive coatings on silicon steel, characterized in that, Includes the following steps: S1. Emit X-rays to the self-adhesive coating on the silicon steel to be tested during the hot pressing process; S2. Real-time acquisition of carbon characteristic X-rays on the self-adhesive coating on the silicon steel to be tested, and obtaining the real-time intensity of carbon characteristic X-rays on the self-adhesive coating; S3. Real-time acquisition of iron characteristic X-rays on the self-adhesive coating on the silicon steel to be tested, and obtaining the real-time intensity of iron characteristic X-rays on the self-adhesive coating; S4. Based on the real-time X-ray intensity of the carbon characteristic of the self-adhesive coating and the real-time X-ray intensity of the iron characteristic of the self-adhesive coating, the real-time thickness of the self-adhesive coating on the silicon steel to be tested is calculated. S5. The curing rate detection device for real-time acquisition and detection of self-adhesive coating curing rate, after temperature compensation, has a curing rate detection loss factor and real-time SWIR absorbance of the self-adhesive coating on the silicon steel to be tested. S6. Based on the real-time thickness of the self-adhesive coating on the silicon steel to be tested, the collected curing rate detection loss factor, and the real-time SWIR absorbance of the self-adhesive coating, the real-time curing rate of the self-adhesive coating on the silicon steel to be tested is calculated.

2. The method for testing the performance of self-adhesive coatings on silicon steel according to claim 1, characterized in that, After performing step S6, the method further includes: calculating the real-time risk level of self-adhesive coating overflow on the silicon steel to be tested; and outputting the real-time risk level of self-adhesive coating overflow to an external party.

3. The method for testing the performance of self-adhesive coatings on silicon steel according to claim 2, characterized in that, The real-time thickness calculation method for the self-adhesive coating on the silicon steel to be tested is as follows: ； in, This represents the real-time thickness of the self-adhesive coating on the silicon steel to be tested. To obtain the fitting constant for the experimental data that is positively correlated with the thickness of the silicon steel to be tested, The real-time X-ray intensity of the carbon feature of the self-adhesive coating. The real-time X-ray intensity of the self-adhesive coated iron is shown.

4. The method for testing the performance of self-adhesive coatings on silicon steel according to claim 3, characterized in that, The calculation method for the real-time curing rate of the self-adhesive coating on the silicon steel to be tested is as follows: ； in, The real-time curing rate of the self-adhesive coating on the silicon steel to be tested. Factors related to the curing rate detection device, The curing rate is measured as a loss factor. The infrared characteristic constants of the coating material are... The real-time absorbance of the self-adhesive coating on the silicon steel to be tested is given. For coating thickness correction parameters, The real-time thickness of the self-adhesive coating on the silicon steel to be tested.

5. The method for testing the performance of self-adhesive coatings on silicon steel according to claim 3 or 4, characterized in that, The real-time risk level of adhesive overflow on the self-adhesive coating of the silicon steel under test is calculated as follows: ； in, The real-time risk level of adhesive overflow on the self-adhesive coating on the silicon steel under test. This refers to the real-time temperature for hot-press curing. The real-time pressure for hot-press curing. The real-time thickness of the self-adhesive coating on the silicon steel to be tested.

6. The method for testing the performance of self-adhesive coatings on silicon steel according to claim 5, characterized in that, Real-time risk level of self-adhesive coating overflow on the silicon steel under test The specific calculation method is as follows: ； in, The optimal operating temperature for hot pressing equipment. The optimal working pressure for the hot pressing process equipment. The theoretical coating thickness, These are the coefficients for the temperature term, pressure term, and thickness term, respectively.

7. The method for testing the performance of self-adhesive coatings on silicon steel according to claim 6, characterized in that, The value range is 180℃~250℃. The value range is 1.5MPa to 4.0MPa. The value range is 1.5μm to 2.5μm.

8. A silicon steel self-adhesive coating performance testing system, used to implement the silicon steel self-adhesive coating performance testing method according to claim 1, characterized in that, The system includes: X-ray emitting device, used to emit X-rays onto the self-adhesive coating on the silicon steel to be tested during the hot pressing process; A carbon characteristic X-ray intensity detection device is used to collect carbon characteristic X-rays on the self-adhesive coating on the silicon steel under test in real time, and obtain the real-time intensity of carbon characteristic X-rays on the self-adhesive coating. The iron characteristic X-ray intensity detection device is used to collect iron characteristic X-rays on the self-adhesive coating on the silicon steel under test in real time, and obtain the real-time intensity of iron characteristic X-rays on the self-adhesive coating. A temperature compensation detection device is used to collect the curing rate detection loss factor of the curing rate detection device in real time after temperature compensation. The SWIR spectral imaging device is used to acquire the real-time SWIR absorbance of the self-adhesive coating on the silicon steel under test. The self-adhesive coating thickness detection device is connected to the carbon characteristic X-ray intensity detection device and the iron characteristic X-ray intensity detection device respectively. It is configured to calculate the real-time thickness of the self-adhesive coating on the silicon steel to be tested based on the obtained real-time intensity of the carbon characteristic X-ray of the self-adhesive coating and the real-time intensity of the iron characteristic X-ray of the self-adhesive coating. The self-adhesive coating curing rate detection device is connected to a self-adhesive coating thickness detection device, a temperature compensation detection device, and a SWIR spectral imaging device. It is used to calculate the real-time curing rate of the self-adhesive coating on the silicon steel to be tested based on the real-time thickness of the self-adhesive coating on the silicon steel to be tested, the real-time collected curing rate detection loss factor, and the real-time SWIR absorbance of the self-adhesive coating.

9. The silicon steel self-adhesive coating performance testing system according to claim 8, characterized in that, The self-adhesive coating thickness detection device (6) calculates the real-time thickness of the self-adhesive coating on the silicon steel to be tested according to the following method: ； in, This represents the real-time thickness of the self-adhesive coating on the silicon steel to be tested. To obtain the fitting constant for the experimental data that is positively correlated with the thickness of the silicon steel to be tested, The real-time X-ray intensity of the carbon feature of the self-adhesive coating. The real-time X-ray intensity of the self-adhesive coated iron feature; The self-adhesive coating curing rate detection device (7) calculates the real-time curing rate of the self-adhesive coating on the silicon steel to be tested according to the following method: ； in, The real-time curing rate of the self-adhesive coating on the silicon steel to be tested. Factors related to the curing rate detection device, The curing rate is measured as a loss factor. The infrared characteristic constants of the coating material are... The real-time absorbance of the self-adhesive coating on the silicon steel to be tested is given. For coating thickness correction parameters, The real-time thickness of the self-adhesive coating on the silicon steel to be tested.

10. A readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the silicon steel self-adhesive coating performance testing method according to any one of claims 1 to 7.

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