A detection method and device for a metal plate coating process

Abstract

The application provides a detection method for a metal plate coating process, comprising the following steps: using a liquid drop shape analyzer to drop a coating liquid drop with a predetermined volume on the surface of the target metal plate, measuring a contact angle parameter, and determining the wetting and liquid film stability of the coating and the plate surface; using a white light interferometer or a profilometer to measure the three-dimensional profile of the surface of the target metal plate, combining with the observation of the surface morphology by a scanning electron microscope to obtain corresponding roughness parameters; photographing the shrinkage hole formation and evolution process after coating, extracting and counting the parameters of the number, area and position of the shrinkage holes at different times; selecting a target shrinkage hole from the shrinkage holes, performing three-dimensional scanning by a laser confocal microscope, reconstructing a coating thickness field based on the fluorescence intensity distribution, determining the spatial correspondence between the shrinkage hole and the pollution particles, and evaluating the printing and coating adaptability of the target metal plate and the coating. The application also exemplarily discloses a detection device for a metal plate coating process and an electronic device applying the method.

Description

Technical Field

[0001] This invention relates to the field of metal material processing technology, and in particular to a method, apparatus and computer-readable storage medium for detecting metal sheet coating processes. Background Technology

[0002] Coating defects such as pinholes, blistering, and cracking that occur after printing on metal sheets affect coating quality and product performance. Among these, pinhole defects are closely related to surface contaminants, surface morphology, and the coating film-forming process. Existing technologies typically use dyne pen testing to evaluate the printing compatibility of metal sheets with coatings. While this method provides the surface tension value, it struggles to characterize the dynamic processes of coating spread, flow, and curing under actual printing conditions. Furthermore, existing methods lack effective detection and correlation analysis tools for the influence of micron-sized particles, moisture, oil stains, and other contaminants on the metal sheet surface, as well as surface roughness and profile parameters, on pinhole formation. Therefore, it is necessary to provide a method for evaluating the printing compatibility of coatings on metal sheet surfaces to achieve a more accurate assessment of the sheet surface condition and the formation process of coating defects. Summary of the Invention

[0003] The present invention aims to solve the problem that the evaluation of the adaptability of metal sheet printing mainly relies on static methods such as dyne pens and contact angle tests, which makes it difficult to simultaneously take into account surface wettability, surface microstructure, distribution of contaminant particles and characterization of the dynamic evolution process of pinholes.

[0004] This invention provides a method, apparatus, and computer-readable storage medium for detecting coating processes on metal sheets, thereby enabling effective evaluation of the coating adaptability of metal sheets and improving the ability to predict coating quality and pinhole defects. To achieve the above objectives, this invention adopts the following technical solution: In a first aspect, a method for detecting the coating process of metal sheets is provided, comprising: cutting a target metal sheet into a specified size and recording the product information of the target metal sheet; using a droplet shape analyzer to drop a predetermined volume of paint droplets onto the surface of the target metal sheet, measuring the contact angle parameters of the paint droplets on the surface of the target metal sheet, and determining the wettability and liquid film stability of the paint on the sheet surface; using a white light interferometer or profilometer to measure the three-dimensional profile of the surface of the target metal sheet, and observing the surface morphology in conjunction with a scanning electron microscope to obtain the corresponding roughness parameters; and imaging the surface of the target metal sheet under predetermined illumination conditions to identify the particle size and quantity of surface particles or impurities. The system collects and analyzes the distribution information, and determines whether the surface cleanliness of the plate meets the preset conditions based on the identification results. A polyester coating of a predetermined thickness is applied to the surface of the target metal plate. The formation and evolution of pinholes after coating are photographed, and parameters such as the number, area, and location of pinholes at different times are extracted and statistically analyzed. Target pinholes are selected from the pinholes, and three-dimensional scanning is performed using a laser confocal microscope. The coating thickness field is reconstructed based on the fluorescence intensity distribution to determine the spatial correspondence between pinholes and contaminant particles. The printing adaptability of the target metal plate and the coating is evaluated based on the contact angle parameters, roughness parameters, particle or impurity distribution information, dynamic statistical results of pinhole defects, and the spatial correspondence between pinholes and contaminant particles.

[0005] In some embodiments, a predetermined volume of polyester coating droplets is dropped onto the surface of a target metal sheet using a droplet shape analyzer. The contact angle parameters of the coating droplets on the surface of the target metal sheet are measured to determine the wettability of the coating and the sheet surface and the stability of the liquid film. This includes: dropping a predetermined volume of coating droplets onto the surface of the target metal sheet using a droplet shape analyzer; measuring the static contact angle of the coating droplets on the surface of the target metal sheet; then tilting the target metal sheet at a predetermined angle; recording the droplet advance / retreat process; extracting the advance angle, retreat angle, and hysteresis angle; determining the solid-liquid contact line pinning strength and liquid film flowability; and judging based on the test results and preset thresholds. If the wettability or pinning performance deviates from the predetermined threshold range, it is determined that there is a risk of printing and coating adaptability.

[0006] In some embodiments, a white light interferometer or profilometer is used to measure the three-dimensional profile of the target metal sheet surface, and the surface morphology is observed in conjunction with a scanning electron microscope to obtain the corresponding roughness parameters, including: analyzing the relationship between the roughness parameters of the target metal sheet surface and the solid-liquid contact line pinning effect; and determining the relationship between the surface roughness of the sheet and the liquid film stability and shrinkage defects based on the roughness parameters.

[0007] In some embodiments, under predetermined lighting conditions, the surface of the target metal sheet is imaged to identify the particle size, quantity, and distribution information of surface particles or impurities, and the surface cleanliness of the sheet is determined based on the identification results to meet preset conditions. This includes: under darkroom conditions, illuminating the surface of the target metal sheet with a surface defect inspection lamp of a predetermined wavelength, and acquiring images through a camera device; based on the acquired images, identifying the particle size, distribution location, and quantity of particles, comparing them with preset particle control standards, and determining whether the target metal sheet needs to be cleaned repeatedly.

[0008] In some embodiments, a target crater is selected from the craters, and a three-dimensional scan of the target crater is performed using a laser confocal microscope. The coating thickness field is reconstructed based on the fluorescence intensity distribution to determine the spatial correspondence between the crater and the contaminant particles. This includes: analyzing the coating thickness variation at the edge of the crater according to the coating thickness field, and analyzing the abnormal fluorescence enhancement phenomenon in the central region and its correspondence with micron-sized particles to determine the spatial correspondence between the crater and the contaminant particles.

[0009] In some embodiments, the method further includes: establishing an evaluation level for the adaptability of the target metal sheet to coating printing based on the roughness parameters, surface morphology, number and distribution of particles, number of shrinkage cavities, area and evolution law.

[0010] In some embodiments, the product information includes product number, production batch, and storage time.

[0011] Secondly, a detection device for metal sheet coating processes is provided, comprising: a product information module for cutting a target metal sheet into a specified size and recording the product information of the target metal sheet; a wettability and liquid film stability testing module for adding a predetermined volume of paint droplets to the surface of the target metal sheet using a droplet shape analyzer, measuring the contact angle parameter of the paint droplets on the surface of the target metal sheet, and determining the wettability and liquid film stability of the paint and the sheet surface; a surface roughness testing module for measuring the three-dimensional profile of the surface of the target metal sheet using a white light interferometer or a profilometer, observing the surface morphology with a scanning electron microscope, and obtaining the corresponding roughness parameters; and an imaging inspection module for imaging the surface of the target metal sheet under predetermined illumination conditions to identify surface particles. The system includes: a particle size, quantity, and distribution information of impurities or contaminants; a film formation detection module for printing a predetermined thickness of coating onto the target metal sheet surface; a photographic process of pinhole formation and evolution after coating; and the extraction and statistical analysis of parameters such as the number, area, and location of pinholes at different times. A pinhole scanning module for selecting target pinholes from the pinholes, performing three-dimensional scanning using a laser confocal microscope, reconstructing the coating thickness field based on fluorescence intensity distribution, and determining the spatial correspondence between pinholes and contaminant particles. An evaluation and analysis module for evaluating the printing adaptability of the target metal sheet and coating based on the contact angle parameters, roughness parameters, particle or impurity distribution information, dynamic statistical results of pinhole defects, and the spatial correspondence between pinholes and contaminant particles.

[0012] Thirdly, the present invention provides an electronic device comprising: a processor; and a memory storing computer-readable instructions, wherein when the computer-readable instructions are executed by the processor, the detection method for the above-mentioned metal sheet coating process is implemented.

[0013] Fourthly, the present invention also provides a computer-readable storage medium, characterized in that the computer-readable storage medium stores program code, which can be called by a processor to execute the above-described detection method for metal sheet coating process.

[0014] Compared with existing technologies, this invention achieves at least the following beneficial effects: This invention combines contact angle testing, surface roughness testing, surface contamination imaging detection, and post-coating pinhole dynamic tracking, enabling a more comprehensive evaluation of the compatibility of metal sheets with coatings. This invention can identify the distribution information of micron-level particles or impurities on the sheet surface and establish a correlation with subsequent pinhole defects, which is beneficial for improving the ability to predict pinhole risks. This invention can obtain information on the changes in the number, area, and distribution location of pinholes over time, enabling quantitative analysis of the pinhole formation and evolution process. This invention can be used to establish a metal sheet coating compatibility evaluation level, providing a basis for sheet surface quality control, cleaning process adjustment, and coating process optimization. It can detect pinhole defects that may occur during the coating process through an effective detection mechanism, improving coating quality.

[0015] The summary section is provided to present the chosen concepts in a simplified form, which will be further described in the detailed description below. The summary section is not intended to identify essential or necessary features of this disclosure, nor is it intended to limit the scope of this disclosure. Attached Figure Description

[0016] The above and other objects, features and advantages of this disclosure will become more apparent from the accompanying drawings, in which like reference numerals generally denote like parts.

[0017] Figure 1 A flowchart of the detection method for metal sheet coating process provided in the embodiments of this application is shown; Figure 2 A schematic diagram illustrating the pinhole recognition effect provided in an embodiment of this application is shown; Figure 3 A schematic block diagram of a detection device for metal sheet coating process provided in an embodiment of this application is shown; Figure 4 A schematic diagram of the structure of an electronic device provided in an embodiment of this application is shown. Detailed Implementation

[0018] Embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that the present disclosure will be thorough and complete, and will fully convey the scope of the present disclosure to those skilled in the art.

[0019] The term "comprising" and its variations as used herein signify open inclusion, i.e., "including but not limited to". Unless otherwise stated, the term "or" means "and / or". The term "based on" means "at least partially based on". The terms "one example embodiment" and "one embodiment" mean "at least one example embodiment". The term "another embodiment" means "at least one additional embodiment". The terms "first", "second", etc., may refer to different or the same objects. Other explicit and implicit definitions may also be included below.

[0020] This application provides a method for detecting the coating process of metal sheets. Please refer to [link / reference]. Figure 1 This figure is a schematic diagram of the first embodiment of this application. The following is in conjunction with... Figure 1 The first embodiment of this application provides a detailed description of a detection method 100 for a metal sheet coating process.

[0021] This application provides a method for detecting the coating process of metal sheets. The method may include the following steps: Step S102: Cut the target metal sheet into specified dimensions and record the product information of the target metal sheet. For example, during the sample preparation and pretreatment process, select representative metal sheet samples (including primary materials, secondary materials, chrome-plated materials, etc.) and cut them into specified dimensions. Record information such as sample number, production batch, and storage time (validity period in days).

[0022] Step S104: Using a droplet shape analyzer, a predetermined volume of paint droplets is dropped onto the surface of the target metal sheet. The contact angle parameters of the paint droplets on the surface of the target metal sheet are measured to determine the wettability of the paint to the sheet surface and the stability of the liquid film.

[0023] Step S106: Measure the three-dimensional profile of the target metal plate surface using a white light interferometer or profilometer, observe the surface morphology using a scanning electron microscope, and obtain the corresponding roughness parameters.

[0024] Step S108: Under predetermined illumination conditions, image the surface of the target metal plate, identify the particle size, quantity and distribution information of surface particles or impurities, and determine whether the surface cleanliness of the plate meets the preset conditions based on the identification results.

[0025] Step S110: Apply a coating of a predetermined thickness to the surface of the target metal sheet, and photograph the formation and evolution of pinholes after coating. Extract and statistically analyze the parameters of the number, area, and location of pinholes at different times. For example, during the dynamic imaging of the simulated coating and film-forming process, a coating machine can be used to apply a coating of a specific thickness to the surface of the metal sheet sample. The sample is transported to the detection area via a conveyor roller, and the formation and evolution of pinholes after coating is photographed in real time using a high-speed / high-resolution camera. The continuous image sequence is input into an image recognition program to extract and statistically analyze the parameters of the number, area, and location of pinholes at different times. In this embodiment, detecting the dynamic behavior of pinholes after coating can provide excellent technical support for subsequent process adjustments.

[0026] Step S112: Select the target cavities from the cavities, perform three-dimensional scanning using a laser confocal microscope, reconstruct the coating thickness field based on the fluorescence intensity distribution, and determine the spatial correspondence between the cavities and the contaminant particles. Step S114: Evaluate the printing and coating adaptability of the target metal sheet and the coating based on the contact angle parameter, roughness parameter, particulate matter or impurity distribution information, dynamic statistical results of shrinkage defects, and spatial correspondence between shrinkage and contaminant particles.

[0027] In some embodiments, a predetermined volume of paint droplets is dropped onto the surface of a target metal sheet using a droplet shape analyzer. The contact angle parameters of the paint droplets on the target metal sheet surface are measured to determine the wettability of the paint and the sheet surface and the stability of the liquid film. This includes: dropping a predetermined volume of paint droplets onto the surface of the target metal sheet using a droplet shape analyzer, measuring the static contact angle of the paint droplets on the target metal sheet surface, then tilting the target metal sheet at a predetermined angle, recording the droplet advance / retreat process, extracting the advance angle, retreat angle, and hysteresis angle, and determining the solid-liquid contact line pinning strength and liquid film flowability; judging from the test results and preset thresholds, if the wettability or pinning performance deviates from the predetermined threshold range, it is determined that there is a risk of printing and coating adaptability. Typically, during the paint wettability test (static / dynamic contact angle), a certain volume of paint droplets can be dropped onto the sample surface using a droplet shape analyzer, the static contact angle can be measured, and the affinity between the paint and the sheet surface can be evaluated. The sample stage is tilted at a set angle, and the droplet's advance / retreat process is recorded. The advance angle, retreat angle, and hysteresis angle are extracted to evaluate the solid-liquid contact line pinning strength and liquid film flowability. Based on the test results and preset thresholds, if the wettability or pinning performance deviates significantly from the suitable range, a preliminary assessment indicates a risk to printing and coating adaptability.

[0028] In some embodiments, a white light interferometer or profilometer is used to measure the three-dimensional profile of the target metal sheet surface, and the surface morphology is observed using a scanning electron microscope to obtain corresponding roughness parameters. This includes: analyzing the relationship between the roughness parameters of the target metal sheet surface and the pinning effect of the solid-liquid contact line; and determining the relationship between the surface roughness of the sheet and liquid film stability and shrinkage defects based on the roughness parameters. For example, during the surface morphology and roughness testing of the sheet, a white light interferometer or profilometer can be used to measure the three-dimensional profile of the sample surface to obtain roughness parameters such as Ra, Rz, RSm, and Rsk, and the surface morphology and main elemental composition can be observed using a scanning electron microscope. The relationship between roughness and wettability, pinning effect, and the influence of sheet surface roughness on liquid film stability and shrinkage defects can be analyzed.

[0029] In some embodiments, under predetermined illumination conditions, the surface of the target metal sheet is imaged to identify the particle size, quantity, and distribution information of surface particles or impurities. Based on the identification results, it is determined whether the surface cleanliness of the sheet meets preset conditions. This includes: illuminating the surface of the target metal sheet with a surface defect inspection lamp of a predetermined wavelength in a darkroom, and acquiring images using a camera device; identifying the particle size, distribution location, and quantity of particles based on the acquired images, comparing them with preset particle control standards, and determining whether the target metal sheet needs repeated cleaning. For example, during the surface particle imaging and identification process, under darkroom conditions, the surface of the sheet is illuminated with a surface defect inspection lamp of a specific wavelength, and a high-contrast surface image is acquired using a camera device. An image recognition program is used to process the image, performing filtering, threshold segmentation, connected component labeling, etc., to identify the particle size, distribution location, and quantity; then, the above data is compared with preset particle control standards to determine whether repeated cleaning or enhanced filtration / dust prevention measures are needed.

[0030] In some embodiments, a target crater is selected from the craters, and a three-dimensional scan is performed using a laser confocal microscope. The coating thickness field is reconstructed based on the fluorescence intensity distribution to determine the spatial correspondence between the craters and contaminant particles. This includes: analyzing the coating thickness variation at the crater edge based on the coating thickness field, and analyzing the abnormal fluorescence enhancement phenomenon in the central region and its correspondence with micron-sized particles to determine the spatial correspondence between the craters and contaminant particles. For example, in the testing process for detecting the microscopic three-dimensional morphology of craters, a typical area of ​​the crater is selected, and a three-dimensional scan is performed using a laser confocal microscope. The coating thickness field is reconstructed using the fluorescence intensity distribution. The correlation between the coating thickness variation at the crater edge, the abnormal fluorescence enhancement in the central region, and micron-sized particles is analyzed. Scanning electron microscopy is used to analyze whether matrix elements (such as Fe) are exposed at the center of the crater to confirm the spatial correspondence between the craters and contaminant particles. Figure 2 An example of partial pinhole recognition effect is shown.

[0031] In some embodiments, the method further includes: establishing an evaluation level for the adaptability of the target metal sheet to the coating based on the roughness parameters, surface morphology, particle quantity and distribution, number of pinholes, area and evolution law. For example, in adaptability evaluation and feedback judgment, an evaluation level or pass / fail judgment standard for the adaptability of the metal sheet to the coating can be established based on multi-dimensional data, such as wettability and liquid film stability (static / dynamic contact angle), roughness and surface morphology, particle quantity and distribution, number of pinholes, area and evolution law, and three-dimensional microstructure of pinholes. When the number and area of ​​pinholes are below a certain threshold, it is judged as "suitable"; otherwise, it is "high risk". If it is high risk, feedback is given to the production site to improve filtration and dust removal levels, strengthen surface cleaning and online inspection, and control the storage time and packaging method of secondary materials.

[0032] In some embodiments, the product information includes product number, production batch, and storage time.

[0033] Table 1 below shows the data obtained from the testing and evaluation of the coating process for secondary cold-rolled tin-plated and chrome-plated sheets using the above test methods, and from simulated printing and coating.

[0034] This invention also provides a detection device for metal sheet coating processes, such as... Figure 3 As shown, the testing device 300 for metal sheet coating processes may include the following modules: a product information module 302, a coating wettability and liquid film stability testing module 304, a surface roughness testing module 306, an imaging inspection module 308, a film formation detection module 310, a pinhole scanning module 312, and an evaluation and analysis module 314. Specifically, Product information module 302 is used to cut the target metal sheet into a specified size and record the product information of the target metal sheet.

[0035] The coating wettability and liquid film stability testing module 304 is used to drop a predetermined volume of coating droplets onto the surface of the target metal plate using a droplet shape analyzer, measure the contact angle parameters of the coating droplets on the surface of the target metal plate, and determine the wettability and liquid film stability of the coating and the plate surface.

[0036] The surface roughness testing module 306 is used to measure the three-dimensional profile of the target metal plate surface using a white light interferometer or a profilometer, and to observe the surface morphology using a scanning electron microscope to obtain the corresponding roughness parameters.

[0037] The imaging inspection module 308 is used to image the surface of the target metal plate under predetermined lighting conditions, identify the particle size, quantity and distribution information of surface particles or impurities, and determine whether the cleanliness of the plate surface meets the preset conditions based on the identification results.

[0038] The film formation detection module 310 is used to print a coating of a predetermined thickness on the surface of the target metal plate, photograph the formation and evolution process of pinholes after coating, and extract and statistically analyze the parameters of the number, area and location of pinholes after different times.

[0039] The pinhole scanning module 312 is used to select target pinholes from the pinholes, perform three-dimensional scanning using a laser confocal microscope, reconstruct the coating thickness field based on the fluorescence intensity distribution, and determine the spatial correspondence between pinholes and contaminant particles.

[0040] The evaluation and analysis module 314 is used to evaluate the printing and coating adaptability of the target metal sheet and the coating based on the contact angle parameter, roughness parameter, particulate matter or impurity distribution information, dynamic statistical results of shrinkage defects, and spatial correspondence between shrinkage and contaminant particles.

[0041] like Figure 4 As shown, an electronic device provided in this embodiment of the invention may include a processor 420 and a memory 410. Optionally, the electronic device may also include a transceiver. The processor 420, memory 410, and transceiver may be connected via a communication bus. The memory 410 stores computer-readable instructions, which, when executed by the processor 420, implement the steps of the detection method for the metal sheet coating process described above. Optionally, in a specific implementation, if the memory 410, processor 420, and communication interface 430 are integrated on a single chip, then the memory 410, processor 420, and communication interface 430 can communicate with each other through an internal interface.

[0042] In a specific implementation, as one example, processor 420 may include one or more CPUs.

[0043] In a specific implementation, as one example, the electronic device may also include multiple processors, each of which may be a single-core processor (single-CPU) or a multi-core processor (multi-CPU). Here, a processor may refer to one or more devices, circuits, and / or processing cores for processing data (e.g., computer program instructions).

[0044] The memory is used to store the software program that executes the solution of the present invention, and the execution is controlled by the processor. The specific implementation method can be referred to the above method embodiment, which will not be repeated here.

[0045] A transceiver is used to communicate with network devices or with terminal devices.

[0046] Optionally, the transceiver may include a receiver and a transmitter. The receiver is used to implement the receiving function, and the transmitter is used to implement the sending function.

[0047] Optionally, the transceiver can be integrated with the processor or exist independently and coupled to the processor through the interface circuit of the electronic device. This embodiment of the invention does not specifically limit this.

[0048] It should be noted that the structure of the electronic device described above does not constitute a limitation on the electronic device. Actual electronic devices may include more or fewer components than illustrated, or combine certain components, or have different component arrangements. Furthermore, the technical effects of the electronic device can be referred to the technical effects of the above method embodiments, and will not be repeated here.

[0049] In an exemplary embodiment, the present invention also provides a computer-readable storage medium storing at least one instruction, which is loaded and executed by a processor to implement the steps of the detection method for the metal sheet coating process described above. For example, the computer-readable storage medium may be a ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, or optical data storage device, etc.

[0050] This invention also provides an electronic device, which includes: a processor; and a memory storing computer-readable instructions. When the computer-readable instructions are executed by the processor, the above-described detection method for metal sheet coating process is implemented.

[0051] It should also be understood that the memory in the embodiments of the present invention can be volatile memory or non-volatile memory, or may include both volatile and non-volatile memory. The non-volatile memory can be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. The volatile memory can be random access memory (RAM), which is used as an external cache. By way of example, but not limitation, many forms of random access memory (RAM) are available, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate synchronous DRAM (DDR SDRAM), enhanced synchronous DRAM (ESDRAM), synchronous linked DRAM (SLDRAM), and direct rambus RAM (DR RAM).

[0052] It should be understood that the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. A and B can be singular or plural. Additionally, the character " / " in this article generally indicates an "or" relationship between the preceding and following related objects, but it can also represent an "and / or" relationship. Please refer to the context for a more accurate understanding.

[0053] It should be understood that, in various embodiments of the present invention, the order of the above-mentioned process numbers does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0054] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0055] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the devices, apparatuses, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0056] In the several embodiments provided by this invention, it should be understood that the disclosed devices, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another device, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0057] The various embodiments of this disclosure have been described above. These descriptions are exemplary and not exhaustive, and are not limited to the disclosed embodiments. Many modifications and variations will be apparent to those skilled in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen to best explain the principles, practical applications, or technical improvements to the technology in the market, or to enable others skilled in the art to understand the embodiments disclosed herein.

Claims

1. A method for detecting the coating process of metal sheets, characterized in that, include: Cut the target metal sheet to the specified size and record the product information of the target metal sheet; A predetermined volume of paint droplets is dropped onto the surface of the target metal sheet using a droplet shape analyzer. The contact angle parameters of the paint droplets on the surface of the target metal sheet are measured to determine the wettability of the paint and the surface of the sheet and the stability of the liquid film. The three-dimensional profile of the surface of the target metal sheet is measured using a white light interferometer or a profilometer. The surface morphology is observed using a scanning electron microscope to obtain the corresponding roughness parameters. Under predetermined lighting conditions, the surface of the target metal sheet is imaged to identify the particle size, quantity, and distribution information of surface particles or impurities, and the surface cleanliness of the sheet is judged based on the identification results to determine whether the cleanliness of the sheet surface meets the preset conditions. A coating of predetermined thickness is applied to the surface of the target metal sheet. The formation and evolution of pinholes after coating are photographed, and parameters such as the number, area, and location of pinholes at different times are extracted and statistically analyzed. Select a target cavity from the cavities, perform a three-dimensional scan using a laser confocal microscope, reconstruct the coating thickness field based on the fluorescence intensity distribution, and determine the spatial correspondence between the cavities and the contaminant particles. The printing and coating adaptability of the target metal sheet and the coating is evaluated based on the contact angle parameter, roughness parameter, particulate matter or impurity distribution information, dynamic statistical results of shrinkage defects, and spatial correspondence between shrinkage and contaminant particles.

2. The detection method for the metal sheet coating process according to claim 1, characterized in that, A predetermined volume of paint droplets is dropped onto the surface of a target metal sheet using a droplet shape analyzer. The contact angle parameters of the paint droplets on the surface of the target metal sheet are measured to determine the wetting and liquid film stability of the paint on the sheet surface. A predetermined volume of paint droplets is dropped onto the surface of a target metal sheet using a droplet shape analyzer. The static contact angle of the paint droplets on the target metal sheet surface is measured. Then, the target metal sheet is tilted at a predetermined angle, and the droplet advance / retreat process is recorded. The advance angle, retreat angle, and hysteresis angle are extracted to determine the solid-liquid contact line pinning strength and liquid film flowability. Based on the test results and preset thresholds, if the wettability or pinning performance deviates from the predetermined threshold range, it is determined that there is a risk of printing and coating adaptability issues.

3. The detection method for metal sheet coating process according to claim 2, characterized in that, The three-dimensional profile of the target metal sheet surface is measured using a white light interferometer or profilometer, and the surface morphology is observed using a scanning electron microscope to obtain the corresponding roughness parameters, including: Analyze the relationship between the surface roughness parameters of the target metal sheet and the solid-liquid contact line pinning effect; Based on the roughness parameters, the relationship between the surface roughness of the plate and the stability of the liquid film and shrinkage defects is determined.

4. The detection method for the metal sheet coating process according to claim 3, characterized in that, Under predetermined illumination conditions, the surface of the target metal sheet is imaged to identify the particle size, quantity, and distribution information of surface particles or impurities. Based on the identification results, it is determined whether the surface cleanliness of the sheet meets preset conditions, including: Under darkroom conditions, the surface of the target metal sheet is illuminated with a surface defect inspection lamp of a predetermined wavelength, and images are captured by a camera device. Based on the acquired images, the particle size, distribution location, and quantity of particulate matter are identified and compared with preset particulate matter control standards to determine whether the target metal sheet needs to be cleaned repeatedly.

5. The detection method for the metal sheet coating process according to claim 4, characterized in that, Target cavities are selected from the cavities, and three-dimensional scanning is performed using a laser confocal microscope. The coating thickness field is reconstructed based on the fluorescence intensity distribution to determine the spatial correspondence between the cavities and contaminant particles, including: Based on the coating thickness field, the coating thickness variation at the edge of the crater is analyzed, and the abnormal fluorescence enhancement phenomenon in the central region and its correspondence with micron-sized particles are analyzed to determine the spatial correspondence between the crater and the contaminant particles.

6. The method for detecting the metal sheet coating process according to any one of claims 1 to 5, characterized in that, Also includes: Based on the roughness parameters, surface morphology information, particle quantity and distribution information, number of shrinkage cavities, area and evolution law, the printing and coating adaptability of the target metal sheet and coating is comprehensively evaluated, and a corresponding evaluation level is established.

7. The method for detecting the metal sheet coating process according to claim 6, characterized in that, The product information includes product number, production batch, and storage time.

8. A testing device for metal sheet coating process, characterized in that, include: The product information module is used to cut the target metal sheet into specified sizes and record the product information of the target metal sheet; The wettability and liquid film stability testing module is used to drop a predetermined volume of paint droplets onto the surface of a target metal sheet using a droplet shape analyzer, measure the contact angle parameters of the paint droplets on the surface of the target metal sheet, and determine the wetting and liquid film stability between the paint and the sheet surface. The surface roughness testing module is used to measure the three-dimensional profile of the target metal plate surface using a white light interferometer or a profilometer, and observe the surface morphology using a scanning electron microscope to obtain the corresponding roughness parameters. The imaging inspection module images the surface of the target metal plate under predetermined lighting conditions, identifies the particle size, quantity, and distribution information of surface particles or impurities, and determines whether the cleanliness of the plate surface meets the preset conditions based on the identification results. The film formation detection module is used to print a coating of a predetermined thickness on the surface of the target metal sheet, photograph the formation and evolution process of pinholes after coating, and extract and statistically analyze the parameters of the number, area and location of pinholes after different times. The pinhole scanning module is used to select target pinholes from the pinholes, perform three-dimensional scanning using a laser confocal microscope, reconstruct the coating thickness field based on the fluorescence intensity distribution, and determine the spatial correspondence between pinholes and contaminant particles. The evaluation and analysis module is used to evaluate the printing and coating adaptability of the target metal sheet and the coating based on the contact angle parameter, roughness parameter, particulate matter or impurity distribution information, dynamic statistical results of shrinkage defects, and spatial correspondence between shrinkage and contaminant particles.

9. An electronic device, characterized in that, The electronic device includes: processor; A memory storing computer-readable instructions, which, when executed by the processor, implement the detection method for metal sheet coating process as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium contains program code, which can be called by a processor to execute the detection method for metal sheet coating process as described in any one of claims 1 to 7.

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