Paint dipping method and system for environment-friendly nano coating of steel plate radiator

Abstract

The invention discloses a paint dipping method and system for an environment-friendly nano coating of a steel plate radiator, and relates to the technical field of coating processes and surface functional materials.The paint dipping method comprises the following steps that the surface of the radiator is activated, specifically, oil is removed through ultrasonic cleaning, and the surface of steel is activated through plasma micro-etching; meanwhile, spraying nano stripping liquid to form hydroxyl / carboxyl functional groups, and constructing an active interface; the preparation method comprises the following steps: constructing core-shell nanoparticles taking nano SiO as a core and polysilane as a shell, adding nano ZnO and a polycarboxylic acid dispersing agent with pH response into the coating, and determining a stable water-based nano dispersion system. The coating surface uniformity and the coating thickness are accurately monitored through near-infrared image recognition and a laser thickness measuring sensor, coating parameters are optimized in real time through an intelligent feedback control system, the stability of the coating quality is improved, automatic and intelligent quality control is achieved, and the coating quality is improved. And the coating effect of each batch of products reaches the expected standard.

Description

Technical Field

[0001] This invention relates to the field of coating technology and surface functional materials, specifically to an environmentally friendly nano-coating impregnation method and system for steel plate radiators. Background Technology

[0002] Steel panel radiators are widely used in residential building heating systems, and the requirements for the adhesion, corrosion resistance, and environmental friendliness of their surface coatings are increasingly stringent. Existing impregnation coating methods mainly employ physical adsorption or single sol-gel deposition, which struggle to achieve stable distribution and strong adhesion of nano-coatings, often resulting in the following defects: Nanoparticles aggregate, settle rapidly, and result in uneven coating. The coating has poor adhesion and is prone to peeling during its service life. The internal cavity is severely blocked, affecting heat dissipation efficiency; Traditional coatings have problems with VOCs and heavy metal residues.

[0003] Therefore, there is an urgent need for an environmentally friendly nano-coating impregnation method and system for steel plate radiators. Summary of the Invention

[0004] The purpose of this invention is to provide an environmentally friendly nano-coating impregnation method and system for steel plate radiators. The method, which is based on the synergistic mechanism of interfacial chemical grafting and nanoparticle self-assembly, can significantly improve the adhesion, corrosion resistance and stability of the coating, avoid sagging and structural blockage, and has high consistency and environmental friendliness, thereby solving one of the problems mentioned in the background art.

[0005] Firstly, to solve the aforementioned technical problems, this application adopts the following technical solution: an environmentally friendly nano-coating impregnation method for steel plate radiators, comprising the following steps: Radiator surface activation treatment: Ultrasonic cleaning is used to remove oil, plasma micro-etching is used to activate the steel surface, and at the same time, a nano-stripping liquid is sprayed to form hydroxyl / carboxyl functional groups to build an active interface; Preparation of nano-coatings: Core-shell nanoparticles with nano-SiO2 as the core and polysilane as the shell were constructed. Nano-ZnO and pH-responsive polycarboxylic acid dispersant were added to the coating to determine a stable aqueous nano-dispersion system. Synergistic dip coating: The treated radiator is immersed in the nano-coating, and pulsed ultrasound and magnetic field disturbance are used to assist the nanoparticles in forming directional deposition on the steel surface; the immersion temperature is controlled at 43-47℃ and the time is 60s; Gradient temperature curing: Thermal migration curing is carried out by segmented temperature increase of 50℃, 90℃, and 130℃, with an overall curing time of 23 minutes, and the pull-out angle and speed are controlled. Coating quality inspection and feedback: Near-infrared image recognition technology is used to monitor the uniformity of the coating surface; a laser thickness sensor is used to measure the coating thickness; and the immersion time, pull-out speed and coating replenishment amount are adjusted in real time based on the recognition results.

[0006] More preferably, the real-time adjustment of soaking time, pull-out speed, and paint replenishment volume based on the recognition results specifically includes: Image contrast algorithms are used to identify reflectivity changes in coating areas, and edge recognition and connected component algorithms are used to locate coating boundaries. The actual film thickness is calculated by measuring the displacement difference before and after coating. Based on the fuzzy PID control algorithm, the pull-out speed, soaking time, coating temperature and concentration are monitored in real time, where the objective function is J=α·σ²+β·Δt+γ·η; In the formula: σ² is the image uniformity index; Δt is the film thickness deviation; η is the coating viscosity; α, β, and γ are empirical weights.

[0007] More preferably, the method of activating the steel surface by plasma micro-etching specifically includes: using a mixture of Ar and O2 gas as the working gas, with a power density of 0.8 W / cm² and a processing time of 45 seconds; the nano-stripping solution includes nano-silica sol with a particle size of 10–30 nanometers, chelating agent EDTA (ethylenediaminetetraacetic acid), and polymeric superdispersant, with a pH value of 5–6.

[0008] More preferably, the shell of the core-shell particles used in the nanocoating contains amino and hydroxyl functional groups, the perturbation frequency of the pulsed ultrasound is 25 kHz, the start-up cycle is 0.2 seconds every 5 seconds, and the perturbation frequency of the magnetic field is a low-frequency alternating magnetic field with a frequency of 20 Hz.

[0009] More preferably, the coating has a pH value of 8.5-9.2, a solid content of 12%-15%, and the amount of nano-ZnO added accounts for 1-2% of the total mass.

[0010] Further preferably, the formula for the image uniformity index σ² is: ; in: For the first in the image The grayscale value of a pixel; The average gray value of the image; This represents the total number of pixels in the image. The formula for the film thickness deviation Δt is as follows: ; in: This represents the maximum thickness value at the measurement point. This represents the average thickness value at the measurement points.

[0011] More preferably, the fuzzy PID control formula is adaptively adjusted based on the error value.

[0012] ; in: To control the output; This represents the error at the current moment; For proportional, integral, and differential gains.

[0013] Secondly, to solve the above-mentioned technical problems, another technical solution adopted in this application is: an environmentally friendly nano-coating impregnation system for steel plate radiators, including a near-infrared image recognition module configured to monitor the uniformity and integrity of the coating on the radiator surface in real time. A laser thickness measurement module is configured for online real-time measurement of coating thickness. The central control feedback processing module is configured to monitor the pull-out speed, soaking time, coating temperature and concentration in real time.

[0014] Thirdly, to solve the above-mentioned technical problems, another technical solution adopted in this application is: an electronic device, including a processor, a memory and a communication interface, wherein the memory stores a computer program, and when the processor executes the computer program, it implements the steps of any of the above-mentioned methods for impregnating steel plate radiators with environmentally friendly nano-coating.

[0015] Fourthly, to solve the above-mentioned technical problems, another technical solution adopted in this application is: a computer-readable storage medium storing a computer program, wherein when the computer program is executed by a processor, it implements the steps of the environmentally friendly nano-coating impregnation method for a steel plate radiator as described above.

[0016] Advantages of this invention: 1. This invention employs ultrasonic degreasing, low-temperature plasma micro-etching, and nano-surface stripping solution treatment. 2. This invention enhances the adhesion and stability of the coating by constructing this core-shell structure, while maintaining the unique properties of the nano-SiO2 particles; the ZnO particles enhance the additional functions of the coating and improve the performance of the heat sink. 3. The curing of the coating of this invention is accomplished through precise temperature control, time segmentation, and adjustment of the pull-out speed. The temperature and time settings at each stage ensure the mechanical strength, corrosion resistance, thermal stability, and adhesion of the coating, and natural cooling further ensures the stability and hardness of the coating; 4. This invention achieves precise monitoring of coating surface uniformity and coating thickness through near-infrared image recognition and laser thickness sensors, and optimizes coating parameters in real time through an intelligent feedback control system. This not only improves the stability of coating quality but also realizes automated and intelligent quality control, ensuring that the coating effect of each batch of products meets the expected standards. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a schematic diagram of the process for an environmentally friendly nano-coating impregnation method for a steel plate radiator according to the present invention. Figure 2 This is a schematic diagram of the environmentally friendly nano-coating impregnation system for steel plate radiators in Embodiment 3 of the present invention; Figure 3 This is a schematic diagram of the structure of an electronic device according to the present invention. Detailed Implementation

[0019] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0020] Figure 1 This is a schematic flowchart of an environmentally friendly nano-coating impregnation method for a steel plate radiator according to an embodiment of the present invention. It should be noted that if substantially the same result is achieved, the method of this application is not necessarily identical. Figure 1 The sequence of processes shown is limited.

[0021] Example 1 like Figure 1 The method for impregnating a steel plate radiator with an environmentally friendly nano-coating includes the following steps: A method for impregnating a steel plate radiator with an environmentally friendly nano-coating includes the following steps: S10. Radiator surface activation treatment: Ultrasonic cleaning is used to remove oil, plasma micro-etching is used to activate the steel surface, and at the same time, a nano-stripping liquid is sprayed to form hydroxyl / carboxyl functional groups to build an active interface.

[0022] Specifically, before coating application, steel radiators often have oil, dirt, or metal shavings remaining on their surfaces, directly affecting the adhesion of the subsequent coating. Ultrasonic degreasing utilizes the cavitation effect generated by high-frequency vibration to clean oil and dirt from the surface; The working principle of ultrasonic degreasing is that the tiny bubbles generated by ultrasonic waves in the liquid medium burst, forming high-pressure shock waves, which effectively remove grease and impurities from the surface of steel. This ensures that the steel surface is clean and free of oil, creating a clean substrate for subsequent plasma micro-etching and nano-stripping fluid treatment; Low-temperature plasma treatment uses a mixture of argon (Ar) and oxygen (O2) gas (the gas ratio was optimized to 9:1 according to experiments) to generate active species on the surface, such as oxygen atoms, ions, and free radicals. These species can remove the oxide layer on the steel surface and etch the surface at the microscale. Plasma treatment causes chemical reactions between the atoms on the steel surface, removing the oxide layer and exposing a more active substrate, thus increasing surface roughness. This etching process allows the coating to adhere better to the surface during subsequent impregnation. Removing oxides from the steel surface exposes the original metal substrate, creating minute surface roughness that provides better adhesion sites for subsequent nano-coatings. A nano-surface stripping liquid, prepared by atomizing and injecting nano-chelating agents and superdispersants into a plasma reaction chamber, allows the nano-chelating agents and superdispersants in the liquid to act on the steel surface, further removing any residual oxides or microparticles and generating active groups (such as hydroxyl and carboxyl groups) on the steel surface to enhance surface activity. The nano-chelating agents bind to metal ions on the steel surface through chemical adsorption, removing residual impurities and oxides. The superdispersants help to uniformly disperse nanoparticles on the surface, avoiding coating inhomogeneity. Nano-chelating agents include nano-sized EDTA and alkanolamine compounds; superdispersants include polyvinyl alcohol (PVA) and polystyrene sulfonate; liquid spray rate: 0.3–0.5 mL / min. Through the spraying treatment of the nano-exfoliating liquid, polar groups (such as hydroxyl and carboxyl groups) are formed and exposed, enhancing the hydrophilicity and chemical reactivity of the steel surface. This provides an ideal "grafting channel" for the subsequent chemical bonding and self-assembly of the nano-coating; After ultrasonic degreasing, plasma micro-etching, and nano-surface stripping solution treatment, an ideal "interface-activated substrate" is formed on the surface of the steel radiator. These treatment steps work together to improve the surface structure and chemical properties, giving it extremely high coating adhesion. Through physical and chemical processes, the steel surface acquires high surface energy, roughness, and polar functional groups, providing a favorable chemical reaction environment for subsequent coating self-assembly. Specifically, surface treatment not only alters the microstructure of the steel (e.g., introducing micropores and microcracks) but also introduces a large number of chemically active sites on the surface, which will promote the bonding of the nano-coating. Through the surface treatment step, the steel surface is successfully activated, providing stable "chemical bonding points" for the adhesion of the nano-coating, ensuring that the coating can adhere firmly and form a uniform and stable film.

[0023] S20. Preparation of nano-coatings: Construct core-shell nanoparticles with nano-SiO2 as the core and polysilane as the shell, add nano-ZnO and pH-responsive polycarboxylic acid dispersant to the coating, and determine a stable aqueous nano-dispersion system. Specifically, a core-shell structure is constructed by selecting nano-silica (SiO2) as the "core" of the coating and forming a "shell" layer on its surface by in-situ grafting of polysilane (Si-poly). This structure not only improves the mechanical strength and chemical stability of the coating but also enhances its adhesion to steel surfaces. Nano-sized SiO2 particles have a high specific surface area and their surface is easily grafted with functional molecules. Polysilanes (such as polysilanes with epoxy and amino groups) can form a dense coating layer on the surface of SiO2 particles. This "shell" not only has excellent stability, but can also chemically bond with the active groups on the surface of steel through its functional groups (such as -NH2, -Si-OH, etc.). SiO2 core preparation: synthesized by sol-gel method, adjusting reaction conditions (such as temperature, pH value, reaction time) to control the particle size between 10-100 nm.

[0024] Polysilane coating: Using in-situ graft polymerization, an appropriate polysilane (such as epoxy- or amino-functionalized polysilane) is selected and reacted with SiO2 particles in solution to form a stable SiO2@Si-poly core-shell structure.

[0025] By constructing this core-shell structure, the adhesion and stability of the coating are enhanced, while maintaining the unique properties of the nano-SiO2 particles, such as enhancing the heat resistance and UV resistance of the coating. The functional groups (such as -NH2, -Si-OH, etc.) in the polysilane coating layer provide opportunities for the coating to chemically bond with the groups on the steel surface. These functional groups can form covalent bonds with the surface through chemical reactions, thereby improving the adhesion of the coating. The functional groups in the polysilane coating layer possess strong hydrophilicity and chemical reactivity (such as amino and silanol groups), enabling them to form strong chemical bonds with the surface-activated steel substrate (such as exposed hydroxyl and carboxyl groups). This makes the coating adhere more firmly to the steel surface, preventing coating peeling. When grafting polysilanes, the density of functional groups in the polysilane molecules can be adjusted to ensure that the coating forms uniform chemical bonds on the coated surface.

[0026] By employing a strategy of controlling reaction time and temperature, the bonding between SiO2 particles and polysilane is ensured to be stable, and the functional groups are fully exposed to effectively bond with the active groups on the steel surface. This ensures that the coating adheres firmly to the steel surface, improving its resistance to corrosion, wear, and UV radiation. Introducing nano-ZnO as nanoparticles into coatings can endow the coating with antibacterial and infrared reflective properties. ZnO particles have good antibacterial activity and can effectively reflect infrared radiation, thereby improving the thermal management performance of heat sinks; ZnO particles possess a wide bandgap structure and strong light absorption capacity, effectively absorbing and reflecting infrared radiation, reducing heat accumulation on the coating surface, and improving heat dissipation. Furthermore, ZnO particles can effectively inhibit the growth of microorganisms at the nanoscale, exhibiting good antibacterial properties. Nano-ZnO particles are introduced into waterborne coating systems via sol-gel or aqueous dispersion methods, with their particle size controlled between 20-50 nm to maintain their high surface area and activity.

[0027] To ensure that ZnO particles are uniformly dispersed in the coating, surfactants or dispersants can be used to prevent particle agglomeration; this enhances the coating's additional functions and improves the performance of the radiator. Adding an appropriate amount of self-regulating dispersant to water-based coatings can ensure the dispersion stability of the coating. Under different pH conditions, the dispersant can automatically adjust its steric hindrance to prevent the agglomeration or precipitation of nanoparticles in the coating. The self-regulating dispersant changes its structure by adjusting the pH value, enabling it to adaptively regulate the repulsive forces between particles and ensure uniform dispersion of particles in the coating system. Polycarboxylic acid or polyvinyl alcohol dispersants are commonly used. Select a suitable dispersant based on the pH value (8.5-9.2) of the coating system to ensure that the coating maintains good stability throughout the entire use process.

[0028] When preparing the coating, gradually add the dispersant and adjust the pH value to the target range, and use high-shear emulsification equipment to ensure uniform dispersion of particles.

[0029] The pH range of the coating is controlled between 8.5 and 9.2 to ensure the stability and dispersibility of the coating and to avoid affecting the coating quality due to particle agglomeration. High-shear emulsification homogenization (12000 rpm, 30 minutes) was used to further disperse the nanoparticles in the coating, achieving ideal uniformity. After standing for 24 hours, the coating system reached a stable state, ensuring its coating effect and long-term stability. High-shear emulsification homogenization uses high-speed rotation to shear and fully disperse particles, eliminating particle agglomeration and ensuring coating stability.

[0030] Homogenization is performed using a high-speed shear emulsifier (such as a high-shear mixer) to ensure that nano-SiO2, ZnO and other particles in the coating are evenly distributed.

[0031] After homogenization, allow the coating to stand for 24 hours to ensure complete solvent evaporation and that the coating system reaches a stable state.

[0032] S30, Collaborative Dipping Coating: The treated radiator is immersed in the nano-coating, and pulsed ultrasound and magnetic field disturbance are used to assist the nanoparticles in forming a directional deposition on the steel surface; the immersion temperature is controlled at 45°C and the time is 60s. Specifically, the steel radiator treated in step S10 is immersed in the nano-coating prepared in step 2. A pulsed ultrasonic oscillation system (activated for 0.2 seconds every 5 seconds, frequency 25kHz) is set in the immersion tank to promote uniform penetration of the coating on the surface of the micropores of the steel plate. Simultaneously, low-frequency magnetic oscillations (frequency 20Hz) are applied to the bottom of the pool to assist in the directional deposition of nanoparticles within the structural gaps; When immersed for 60 seconds at a temperature controlled at 45℃±2℃, the following synergistic mechanism occurs: The surface functional groups form covalent / hydrogen bonds such as Si—O—Fe, N—H…O with the core-shell coating; Nanoparticles self-assemble and arrange themselves on the activated surface to form a dense cross-linked layer; ZnO particles are embedded in the surface layer to enhance corrosion resistance.

[0033] S40, Gradient temperature curing: Thermal migration curing is carried out based on segmented temperature increase of 50℃, 90℃, and 130℃, with an overall curing time of 23 minutes, controlling the pull-out angle and speed; Specifically, after the coating is dipped, the radiator should be slowly pulled out at a 10° angle to avoid the coating from dripping or unevenly distributing on the surface due to gravity, which would affect the quality of the coating.

[0034] By controlling the pull-out speed to 0.6 m / min, it is possible to ensure that the coating is evenly distributed on the steel surface, avoiding uneven coating thickness.

[0035] After the treated steel radiator is dipped in the coating, an automated control device (such as a robotic arm) is used to slowly pull the workpiece out at a 10° tilt angle to ensure that the coating can flow smoothly and prevent sagging.

[0036] The pull-out speed is controlled at 0.6 m / min to ensure that the coating on the steel surface will not produce bubbles, drips, or peel off due to excessively fast pull-out speed.

[0037] This ensures the uniformity and quality of the coating after dip coating. Controlling the pull-out angle and speed is one of the prerequisites for ensuring the surface quality of the coating; After dip coating, there is usually some moisture and solvent residue on the surface. Primary air drying helps remove this moisture and prevents it from causing bubbles or defects during the subsequent curing process.

[0038] This step is performed at 30°C for 5 minutes to ensure complete evaporation of surface moisture without negatively impacting the coating.

[0039] After the coating is pulled out, it enters the primary drying zone, where air convection helps the surface moisture evaporate quickly.

[0040] The air-drying temperature is controlled at 30°C to ensure that moisture evaporation does not cause the coating to cure prematurely or cause surface cracks.

[0041] Remove moisture from the coating surface to prepare for subsequent heat curing.

[0042] Gradient temperature curing is carried out in three stages: 50°C, 90°C, and 130°C. This process realizes the thermal migration, cross-linking reaction, and thermal setting of the coating. The temperature and time settings of each stage are designed to promote the structural changes of the coating and ultimately achieve ideal adhesion and durability.

[0043] First step: Preheat at 50°C for 5 minutes The main purpose of this stage is to preheat the coating, promoting the evaporation of solvents in the paint and gradually removing them from the surface. At this time, the chemical reaction of the paint begins to start slightly, preparing for the subsequent curing reaction.

[0044] Heating to 50°C can effectively reduce the viscosity of the coating, making its surface uniform, helping to remove moisture and allowing the coating to form a preliminary film.

[0045] Second stage: Reaction migration at 90°C for 8 minutes (forming a cross-linked network). This stage is the core process of the chemical cross-linking reaction. The functional groups in the polysilane coating begin to react at 90°C, forming a cross-linked network. This process enhances the coating's mechanical strength, corrosion resistance, and adhesion.

[0046] When the temperature rises to 90°C, the functional groups (such as -OH, -NH2, etc.) in the polysilane molecules begin to react, generating a coating with a three-dimensional cross-linked structure, which enhances its stability.

[0047] Third stage: Heat set at 130°C for 10 minutes (vitrification of the coating). This stage is mainly used to complete the heat setting of the coating, bringing it to its final hardness and glass transition state. Curing at a high temperature of 130°C allows the coating to fully set, ultimately achieving ideal high-temperature resistance, UV resistance, and chemical corrosion resistance.

[0048] A temperature of 130°C can effectively promote the cross-linking reaction in the coating, generate a tighter network structure, and vitrify the coating, thereby improving its surface hardness, wear resistance, and thermal stability.

[0049] Temperature control and time settings at each stage are precisely designed to ensure optimal coating performance, particularly adhesion, durability, and protective capabilities. After the curing process is complete, the coating needs to be cooled down gradually by natural cooling. This helps to release the stress in the coating and prevents cracks or unevenness on the coating surface caused by rapid cooling.

[0050] During the cooling process, the molecular structure inside the coating gradually returns to room temperature, ensuring that the coating has sufficient hardness, corrosion resistance and adhesion.

[0051] After curing, the heat sink needs to be allowed to cool naturally at room temperature until the coating is completely cooled and stable. This ensures stable curing and the complete formation of an environmentally friendly nano-coating.

[0052] S50. Coating quality inspection and feedback: The uniformity of the coating surface is monitored by near-infrared image recognition technology; the coating thickness is measured by a laser thickness sensor; and the immersion time, pull-out speed and coating replenishment amount are adjusted in real time based on the recognition results.

[0053] The real-time adjustment of soaking time, pull-out speed, and paint replenishment volume based on the recognition results specifically includes: Image contrast algorithms are used to identify reflectivity changes in coating areas, and edge recognition and connected component algorithms are used to locate coating boundaries. The actual film thickness is calculated by measuring the displacement difference before and after coating. Based on the fuzzy PID control algorithm, the pull-out speed, soaking time, coating temperature and concentration are monitored in real time, where the objective function is: J=α·σ²+β·Δt+γ·η; In the formula: σ² is the image uniformity index; Δt is the film thickness deviation; η is the coating viscosity; α, β, and γ are empirical weights.

[0054] The formula for the image uniformity index σ² is as follows: ; in: For the first in the image The grayscale value of a pixel; The average gray value of the image; This represents the total number of pixels in the image. The formula for the film thickness deviation Δt is as follows: ; in: This represents the maximum thickness value at the measurement point. This represents the average thickness value at the measurement points.

[0055] The fuzzy PID control formula adaptively adjusts based on the error value.

[0056] ; in: To control the output; This represents the error at the current moment; For proportional, integral, and differential gains.

[0057] Specifically, near-infrared image recognition technology is used to detect whether the coating surface is uniform, ensuring that the coating distribution on the steel surface is free from defects such as irregularities, breaks, or voids.

[0058] Near-infrared image recognition technology distinguishes the surface characteristics of coatings by the difference in reflectance spectrum, and can determine whether the coating is uniform in real time based on the spectral characteristics of the coating. After the coating has cured, the steel radiator is placed in the testing area, and a near-infrared camera is used to scan the coating surface and capture the spectral reflectance image of the coating.

[0059] Machine learning and image recognition algorithms are used to analyze the coating surface and detect the uniformity of the coating, including whether there are defects such as sagging, bubbles, and uneven thickness.

[0060] Based on the image recognition results, the system analyzes the coating uniformity score in real time. If the coating is uneven, the system will trigger feedback adjustments.

[0061] Laser thickness measurement technology is used to accurately measure the thickness of coatings, ensuring that the coating thickness is within the target range (5–8 μm) and avoiding problems of coatings being too thick or too thin. This is crucial for the coating's corrosion resistance, adhesion, and mechanical strength.

[0062] Laser thickness sensors scan the coating with a laser beam, measure the distance from the coating surface to the substrate, and calculate the actual thickness of the coating based on the reflected laser signal.

[0063] After the coating is completed, a laser thickness sensor is set at the detection position, and the sensor scans the coating thickness on the steel surface.

[0064] The laser sensor continuously detects the coating thickness at multiple locations in real time, records the thickness data at each location, and forms a thickness distribution map.

[0065] The system compares the thickness data with the target range (5–8 μm) to determine if it meets the requirements. If the thickness exceeds the limit or is uneven, the system will automatically adjust the parameters accordingly.

[0066] The real-time feedback control system analyzes the monitoring results of coating quality (uniformity and thickness) and intelligently adjusts key parameters in the coating process (such as soaking time, pull-out speed, and paint replenishment volume) to ensure the consistency of coating quality.

[0067] Based on near-infrared image recognition and laser thickness sensor feedback, the system can automatically adjust the soaking time, pull-out speed, and coating replenishment amount to cope with changes in coating quality and ensure the consistency of coating between batches.

[0068] The detection data provided by image recognition and laser thickness sensors are input into the feedback control system. The control system analyzes the coating uniformity and thickness in real time, and if a deviation is detected, the system will automatically calculate the required adjustment parameters according to the set optimization algorithm.

[0069] For example, if the coating thickness is found to be too thin, the system will automatically extend the soaking time; if the coating is uneven, the system will automatically increase the amount of coating replenishment or adjust the pull-out speed.

[0070] The soaking time, pull-out speed, and coating concentration are adjusted based on the coating quality test results to ensure consistent coating quality between each batch of radiators.

[0071] By monitoring and adjusting coating quality in real time, we ensure the consistency of coating quality throughout the coating process, especially in different batches of production.

[0072] Specifically, the activation of the steel surface using plasma micro-etching includes: using Ar and The working gas is a mixture of O2 gas with a power density of 0.8 W / cm² and a processing time of 45 seconds. The nano-exfoliating liquid includes nano-silica sol with a particle size of 10–30 nanometers, chelating agent EDTA (ethylenediaminetetraacetic acid), and polymeric superdispersant, with a pH value of 5–6.

[0073] Specifically, the shell of the core-shell particles used in the nano-coating contains amino and hydroxyl functional groups, the perturbation frequency of the pulsed ultrasound is 25kHz, the start-up cycle is 0.2 seconds every 5 seconds, and the perturbation frequency of the magnetic field is a low-frequency alternating magnetic field with a frequency of 20Hz.

[0074] Specifically, the coating has a pH value of 8.5-9.2, a solid content of 12%-15%, and the amount of nano-ZnO added accounts for 1-2% of the total mass.

[0075] Example 2 To solve the above-mentioned technical problems, based on Embodiment 1, another technical solution adopted in this application is: A method for impregnating a steel plate radiator with an environmentally friendly nano-coating includes the following steps: Step 1: Plasma-nanocomposite pretreatment: The plasma source energy density is 0.8 W / cm², and the treatment time is 45 seconds; the stripping solution contains a chelating agent (EDTA), nano-silica sol (particle size 10nm), and a superdispersant; the surface roughness Ra after treatment is approximately 0.35μm.

[0076] Step 2, Core-shell structure coating parameters: Nano-SiO2 core particle size is 30nm, and shell thickness is 5~8nm; The coated polysilane contains hydroxyl and amino functional groups; the total solids content of the coating is controlled at 12%–15%.

[0077] Step 3, Key Controls of Self-Assembly and Synergistic Mechanism: Pulsed ultrasonic frequency 25 kHz, action period 5s open 0.2s; dip-coating pull-out angle 10°, speed 0.6 m / min; final coating thickness controlled at 5–8 μm, crosslinking density >90%.

[0078] Step 4, AI inspection system accuracy: Coating uniformity deviation < ±5%; System response time < 0.3 seconds; It can automatically adjust the paint injection time and pull-out angle.

[0079] Example 3 To solve the above-mentioned technical problems, based on Embodiment 1, another technical solution adopted in this application is: An environmentally friendly nano-coating impregnation system for steel plate radiators includes: Near-infrared image recognition module, configured to monitor the uniformity and integrity of the coating on the surface of the heat sink in real time; A short-wave near-infrared camera in the range of 850nm to 1650nm is used; it is located between the pull-out section and the first pre-drying section, with an angle of 30° to the coating surface; Image contrast algorithms are used to identify reflectivity changes in coating areas; edge recognition combined with connected component algorithms is used to locate coating boundaries. The unit area grayscale variance σ² is calculated as a key indicator of coating uniformity. When σ² > 20 (grayscale), the coating is determined to be uneven, triggering feedback adjustment. Detection frequency: the image is refreshed and calculated every 300ms.

[0080] The laser thickness measurement module is configured for online real-time measurement of coating thickness; the dual-laser triangulation method calculates the actual film thickness by measuring the displacement difference before and after coating; accuracy: ±0.5μm, measurement speed up to 400 points / s; Installation location: Forms a dual-view measurement area by forming a 90° angle with the near-infrared mode; If Δt > 2μm or t_avg < 5μm, it is judged as thin or coating fluctuation; Automatically adjusts the pull-out speed or coating viscosity.

[0081] The central control feedback processing module is configured to monitor the pull-out speed, soaking time, coating temperature and concentration in real time.

[0082] Images and thickness data from the NIR and LTS modules are used as input parameters to monitor pull-out speed, soaking time, coating temperature and concentration in real time. Automatically adjusts soaking time (±3 seconds); Pull-out speed dynamic adjustment range: 0.4–0.8 m / min; The concentration of the paint tank replenishment solution or the dosage of the added dispersion (based on conductivity and pH monitoring); a complete decision feedback every 5 seconds; like Figure 2 As shown, the specific working principle is as follows: the radiator enters the detection area through the pull-out section; The NIR system acquires reflected images, analyzes image grayscale differences, and determines the presence of coating streaks or liquid accumulation marks. Simultaneously, the laser module scans the thickness, and if it detects that the thickness is too thin or there is sagging, then: The controller outputs an action signal, thereby slowing the pull-out speed by 0.1 m / min; Simultaneously add 10ml of nano silica sol dispersant to the paint tank; The operator is prompted to check the equipment's temperature control and flow properties. The coating thickness of the next batch of heat sinks will return to the set target (5–8 μm), and the control action will be reset to zero; all data will be stored on the local server for subsequent analysis and parameter optimization.

[0083] The system can complete image processing and thickness detection within 300ms and initiate feedback adjustment; Ensure seamless control during the coating process to avoid defects or unevenness in the coating.

[0084] When coating quality indicators (uniformity, thickness, etc.) deviate, the system will provide immediate feedback and adjustments. Paint replenishment: If the coating thickness is too thin or the coating is uneven, the system will automatically adjust the paint concentration or add paint; Soaking time adjustment: If the coating thickness is too thin or there are local missed areas, the system will extend the soaking time; Pull-out speed adjustment: If the coating is uneven or sagging occurs, the system will adjust the pull-out speed to ensure the uniformity of the coating.

[0085] The system has real-time fault detection capabilities and can trigger an alarm when abnormalities occur in the coating.

[0086] Fault types include: Image recognition failed (e.g., camera misalignment or lens contamination). Laser thickness probe failure (e.g., unstable laser reflection or equipment damage). The control system is experiencing a response delay or processing anomalies.

[0087] The system will issue an audible and visual alarm and automatically shut down in the event of a malfunction to prevent the coating from being applied further and to ensure product quality.

[0088] Fault records are automatically saved and sent to the equipment management center for technicians to inspect and repair.

[0089] All inspection data during the coating process, including coating thickness, uniformity, soaking time, pull-out speed, etc., are recorded in real time and stored in the database.

[0090] Quality monitoring data from each painting operation will generate a report, facilitating batch quality traceability.

[0091] During the coating process, quality data for any batch can be quickly retrieved, ensuring product quality traceability.

[0092] NIR image recognition module: detects the uniformity of the coating and the presence of sagging, and provides the coating's grayscale variance and uniformity indices in real time.

[0093] Laser thickness measurement module: Real-time scanning of coating thickness, detection of whether the coating reaches the standard thickness, and output of film thickness distribution data.

[0094] Data acquisition and processing: Collect data from NIR and laser sensors to form a complete quality inspection spectrum.

[0095] AI-PID controller: Intelligently adjusts immersion time, pull-out speed and paint replenishment dosage based on feedback signals to ensure coating consistency.

[0096] Coating control and feedback mechanism: Adjust the equipment operating status based on AI feedback (such as adjusting paint viscosity, pull-out angle, etc.).

[0097] Example 4 like Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present disclosure. It illustrates a structural schematic diagram suitable for implementing the electronic device in the embodiment of the present disclosure. Figure 3 The electronic device shown is merely an example and should not be construed as limiting the functionality and scope of the embodiments disclosed herein.

[0098] like Figure 3 As shown, an electronic device includes a processor, a memory, and a communication interface. The memory stores a computer program, and when the processor executes the computer program, it implements the aforementioned method for impregnating a steel plate heat sink with an environmentally friendly nano-coating, as described in the various embodiments of this disclosure. The electronic device can exchange data with other devices or systems through the communication interface, enabling real-time updates and sharing of drug information.

[0099] The processor in the aforementioned electronic device serves as its core, responsible for executing the computer program stored in the memory to implement various functions of the paperless conference terminal's intelligent interaction method. The processor can employ a high-performance multi-core CPU or a dedicated chip to meet the demands of complex calculations and real-time processing. The memory stores the operating system, applications, data, and computer programs. In this embodiment, the memory stores the computer program implementing the paperless conference terminal's intelligent interaction method. The memory can be RAM, ROM, Flash memory, or other types of non-volatile memory. The communication interface connects the electronic device to other devices or networks, enabling data transmission and exchange. In this embodiment, the communication interface supports multiple communication protocols and interface standards, such as Wi-Fi, Bluetooth, USB, and Ethernet, to meet communication needs in different scenarios.

[0100] For a detailed description of this embodiment, please refer to the corresponding descriptions in the foregoing embodiments, which will not be repeated here.

[0101] Example 5 According to an embodiment of the present disclosure, a computer-readable storage medium stores a computer program. When the computer program is executed by a processor, it implements the functions of the aforementioned environmentally friendly nano-coating impregnation method for steel plate radiators according to various embodiments of the present disclosure.

[0102] The aforementioned computer-readable storage media include, but are not limited to: optical storage media (e.g., CD-ROM and DVD), magneto-optical storage media (e.g., MO), magnetic storage media (e.g., magnetic tape or portable hard drive), media with built-in rewritable non-volatile memory (e.g., memory card), and media with built-in ROM (e.g., ROM cartridge).

[0103] For a detailed description of this embodiment, please refer to the corresponding descriptions in the foregoing embodiments, which will not be repeated here.

[0104] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for impregnating a steel plate radiator with an environmentally friendly nano-coating, characterized in that, Includes the following steps: Radiator surface activation treatment: Ultrasonic cleaning is used to remove oil, plasma micro-etching is used to activate the steel surface, and at the same time, a nano-stripping liquid is sprayed to form hydroxyl / carboxyl functional groups to build an active interface; Preparation of nano-coatings: Core-shell nanoparticles with nano-SiO2 as the core and polysilane as the shell were constructed. Nano-ZnO and pH-responsive polycarboxylic acid dispersant were added to the coating to determine a stable aqueous nano-dispersion system. Synergistic dip coating: The treated radiator is immersed in the nano-coating, and pulsed ultrasound and magnetic field disturbance are used to assist the nanoparticles in forming directional deposition on the steel surface; the immersion temperature is controlled at 43-47℃ and the time is 60s; Gradient temperature curing: Thermal migration curing is carried out by segmented temperature increase of 50℃, 90℃, and 130℃, with an overall curing time of 23 minutes, and the pull-out angle and speed are controlled. Coating quality inspection and feedback: The uniformity of the coating surface is monitored using near-infrared image recognition technology; The coating thickness is measured using a laser thickness sensor; the immersion time, pull-out speed, and coating replenishment amount are adjusted in real time based on the recognition results.

2. The method for impregnating a steel plate radiator with an environmentally friendly nano-coating according to claim 1, characterized in that, The real-time adjustment of soaking time, pull-out speed, and paint replenishment volume based on the recognition results specifically includes: Image contrast algorithms are used to identify reflectivity changes in coating areas, and edge recognition and connected component algorithms are used to locate coating boundaries. The actual film thickness is calculated by measuring the displacement difference before and after coating. Based on the fuzzy PID control algorithm, the pull-out speed, soaking time, coating temperature and concentration are monitored in real time, where the objective function is J=α·σ²+β·Δt+γ·η; In the formula: σ² is the image uniformity index; Δt is the film thickness deviation; η is the coating viscosity; α, β, and γ are empirical weights.

3. The method for impregnating a steel plate radiator with an environmentally friendly nano-coating according to claim 1, characterized in that, The method of activating the steel surface by plasma micro-etching specifically includes: using a mixture of Ar and O2 gas as the working gas, with a power density of 0.8 W / cm² and a processing time of 45 seconds; the nano-exfoliation liquid includes nano-silica sol with a particle size of 10–30 nanometers, chelating agent EDTA (ethylenediaminetetraacetic acid), and polymeric superdispersant, with a pH value of 5–6.

4. The method for impregnating a steel plate radiator with an environmentally friendly nano-coating according to claim 1, characterized in that, The shell of the core-shell particles used in the nano-coating contains amino and hydroxyl functional groups. The perturbation frequency of the pulsed ultrasound is 25 kHz, and the start-up cycle is 0.2 seconds every 5 seconds. The perturbation frequency of the magnetic field is a low-frequency alternating magnetic field with a frequency of 20 Hz.

5. The method for impregnating a steel plate radiator with an environmentally friendly nano-coating according to claim 1, characterized in that, The coating has a pH value of 8.5-9.2, a solid content of 12%-15%, and the amount of nano-ZnO added accounts for 1-2% of the total mass.

6. The method for impregnating a steel plate radiator with an environmentally friendly nano-coating according to claim 2, characterized in that, The formula for the image uniformity index σ² is as follows: ； in: For the first in the image The grayscale value of a pixel; The average gray value of the image; This represents the total number of pixels in the image. The formula for the film thickness deviation Δt is as follows: ； in: This represents the maximum thickness value at the measurement point. This represents the average thickness value at the measurement points.

7. The method for impregnating a steel plate radiator with an environmentally friendly nano-coating according to claim 2, characterized in that, The fuzzy PID control formula adaptively adjusts based on the error value. ； in: To control the output; This represents the error at the current moment; For proportional, integral, and differential gains.

8. An environmentally friendly nano-coating impregnation system for steel plate radiators, applied to the environmentally friendly nano-coating impregnation method for steel plate radiators as described in any one of claims 1-4, characterized in that, include: Near-infrared image recognition module, configured to monitor the uniformity and integrity of the coating on the surface of the heat sink in real time; A laser thickness measurement module is configured for online real-time measurement of coating thickness. The central control feedback processing module is configured to monitor the pull-out speed, soaking time, coating temperature and concentration in real time.

9. An electronic device, characterized in that, It includes a processor, a memory, and a communication interface. The memory stores a computer program. When the processor executes the computer program, it implements an environmentally friendly nano-coating impregnation method for a steel plate radiator as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, which, when executed by a processor, implements an environmentally friendly nano-coating impregnation method for a steel plate radiator as described in any one of claims 1 to 7.

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