High-transparency PVC floor surface coating control method, system and equipment

Abstract

The invention relates to the technical field of coated floor production, in particular to a high-transparency PVC floor surface coating control method, system and equipment, and the method comprises the steps: determining the composition of a coating material formula according to the existing coating proportion based on the target performance requirement of a coating, and calibrating the proportion range of key components of the coating material formula; establishing a surface microstructure characteristic model, verifying the physical performance of the coating material formula in the aspect of forming the surface structure with the micro-nano scale composite roughness, and generating a physical performance verification result; and on the basis of the physical performance verification result and the target performance requirement, carrying out comparison verification on the production process parameters of the coating. By means of the high-transparency PVC floor coating, the problems that a traditional high-transparency PVC floor coating is insufficient in transparency, poor in durability and poor in antifouling performance are effectively solved, and particularly the problem that it is difficult to achieve the structural stability and process repeatability of the coating while the high optical performance is met is solved.

Description

Technical Field

[0001] The invention relates to the technical field of coating floor production, and in particular to a method, system and equipment for controlling the surface coating of a high-transparency PVC floor. Background Art

[0002] At present, highly transparent PVC flooring is widely used in commercial and home scenes, and is popular for its beautiful, wear-resistant, and waterproof features. However, there are still many challenges in the coating control method to improve transparency, surface durability, and anti-fouling ability. The existing technology mostly uses traditional coating formulas and processing technology, and its transparency and surface performance are mainly limited by material selection, microstructure design, and preparation process.

[0003] In addition, especially when realizing the micro-nanoscale composite structure of highly transparent coatings, there is a lack of effective modeling and optimization methods, which makes it difficult to meet the high requirements of optical performance, wear resistance and antifouling in complex environments. Inappropriate filler particles or plasticizers will cause phase separation and reduce light transmittance. Impurities, particles and bubbles and other defects will also significantly affect the transparency of the coating. In addition, it is difficult to achieve micro-nanoscale composite roughness control in traditional coating processes, thus sacrificing a certain degree of transparency while meeting antifouling, anti-slip and other functions.

[0004] The information disclosed in this background technology section is only intended to deepen the understanding of the overall background technology of the present disclosure, and should not be regarded as acknowledging or suggesting in any form that the information constitutes the prior art known to those skilled in the art. Summary of the invention

[0005] The invention provides a method, system and equipment for controlling a surface coating of a highly transparent PVC floor, which can effectively solve the problems in the background technology.

[0006] In order to achieve the above object, the technical solution adopted by the present invention is: Based on the target performance requirements of the coating, the composition of the coating material formula is determined according to the existing coating ratio, and the ratio range of the key components of the coating material formula is calibrated; Establishing a surface microstructure characteristic model, verifying the physical performance of the coating material formula in forming a surface structure with micro-nanoscale composite roughness, and generating physical performance verification results; Based on the physical property verification results and the target performance requirements, the production process parameters of the coating are compared and verified.

[0007] Furthermore, the physical properties of the coating material formula in forming a surface structure with micro-nanoscale composite roughness are verified, including: Based on the target performance requirements, combined with the coating material formula and the key component ratio range, select benchmark parameters related to the micro-nanoscale roughness of the coating surface; Establish a surface microstructure characteristic model to simulate the behavior change trend of the coating liquid's wettability and dynamic flow behavior on the substrate surface; Based on the behavior change trend, analyzing the interface energy distribution of the benchmark parameter on the coating surface; According to the interface energy distribution, the geometric characteristics and distribution law of the micro-nano scale composite structure formed by the coating liquid on the surface of the substrate are established.

[0008] Furthermore, the geometric characteristics and distribution law of the micro-nanoscale composite structure formed by the coating liquid on the surface of the substrate are established, including: Based on the interface energy distribution and the reference parameters, calculating the coupling relationship between the spreading behavior of the coating liquid at a microscopic scale and the surface roughness; According to the coupling relationship, establishing the micro-nano scale composite structure of the coating liquid on the surface of the substrate; By simulating the geometric properties of the coating liquid on the micro-nanoscale composite structure, the continuity and consistency of the geometric properties at multiple scales are verified; Based on the verification results, the geometric characteristics and distribution laws of the micro-nano scale composite structure formed by the coating liquid on the surface of the substrate are extracted.

[0009] Furthermore, verifying the continuity and consistency of the geometric characteristics at multiple scales includes: According to the changes in the physical properties of the micro-nanoscale composite structure, the physical verification of the coating surface is divided into multiple scales; Performing computational simulation on the fluid behavior of the coating liquid in the micro-nanoscale composite structure through multi-scale simulation; By calculating the transition area of ​​the micro-nanoscale composite structure at each scale, the continuity of the micro-nanoscale composite structure during the scale change process is verified; Based on the target performance requirements, under different scale conditions, it is verified whether the spreading behavior, wettability and fluidity of the micro-nanoscale composite structure remain consistent.

[0010] Further, the composition of the coating material formula is determined according to the existing coating ratio, including: Determine the target performance requirements based on physical, optical and durability design requirements; According to the target performance requirements, analyze the proportion of each component in the existing coating formula, and determine the main components of the formula in combination with the physical and chemical properties of known materials; Based on the existing coating ratio, designing the coating material formula according to the main ingredients of the formula; Based on the target performance requirements, the proportion range of each key component in the coating material formula is calibrated.

[0011] Furthermore, the ratio range of each of the key components in the coating material formula is calibrated, including: Preliminarily calibrate the proportion range of each key ingredient according to the target performance requirements and the physicochemical properties of the existing formula ingredients; Conducting experimental verification on the initially calibrated ratio range, and adjusting the ratio range of each of the key components according to the experimental results; Performing sensitivity analysis on each of the ratio ranges, and further calibrating the ratio range according to the results of the sensitivity analysis; Based on the experimental verification and sensitivity analysis, the final proportion range of each key component is finally determined through multiple iterations and optimization adjustments.

[0012] Furthermore, the production process parameters of the coating are compared and verified, including: According to the target performance requirements and physical property verification results, the production process parameters affecting the coating performance are selected; Formulate a comparative experimental plan for the production process parameters, and set a plurality of the production process parameters in the horizontal direction for testing; Conducting experimental production according to the comparative experimental scheme, and producing coating samples using different production process parameters; A performance comparison analysis is performed on the performance data of the coating samples, and based on the results of the performance comparison analysis, the production process parameters that meet the target performance requirements are screened.

[0013] Furthermore, a performance comparison analysis is performed on the performance data of the coating samples, including: Analyzing the performance data of the coating samples and establishing a performance comparison analysis scale; Correlating and mapping the microscopic characteristics of each coating sample with the macroscopic performance according to the performance comparison analysis scale; Calculating a weight coefficient for each mapping line, and dynamically adjusting the weight coefficient according to the performance requirements of the coating in different application environments; The weight coefficients are matched one by one with the coating samples, and a performance comparison analysis is performed based on the comparison of the weight coefficients.

[0014] Highly transparent PVC floor surface coating control system, the system includes: The formula composition calibration module determines the composition of the coating material formula based on the target performance requirements of the coating and the existing coating ratio, and calibrates the ratio range of the key components of the coating material formula; The physical property verification module establishes a surface microstructure characteristic model, verifies the physical properties of the coating material formula in forming a surface structure with micro-nanoscale composite roughness, and generates physical property verification results; The parameter comparison and verification module compares and verifies the production process parameters of the coating based on the physical performance verification results and target performance requirements.

[0015] Highly transparent PVC floor surface coating control equipment, the equipment includes: The coating proportioning unit includes an automatic metering pump and a mixing device, which is used to accurately mix the components of the coating liquid according to the calibrated ratio; A surface pretreatment unit, including a plasma treatment device and a laser cleaning device, is used to clean and improve the roughness and adhesion of the surface of the PVC floor substrate; A coating unit, including an automatic spray system and a nozzle regulator to control the coating's uniform distribution, thickness, and coating path; Curing unit, including UV curing lamps and hot air circulation box, is used to cure the coating liquid to ensure that the hardness, adhesion, transparency and wear resistance of the coating meet the expected standards; The performance detection and feedback unit includes an optical detector, a hardness tester, a surface scanner, and a feedback control unit, which are used to detect the optical and physical properties of the coating sample and feed back the results to the system.

[0016] The technical solution of the present invention can achieve the following technical effects: By optimizing the composition and proportion range of the coating material formula and combining the design of micro-nano composite structure with multi-scale physical property verification methods, the problems of insufficient transparency, durability and anti-fouling ability of the coating were solved; at the same time, by precisely controlling the production process parameters, the consistency and reliability of the coating under different process conditions were ensured.

[0017] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0019] Figure 1The figure is a flow chart of a method for controlling the surface coating of a high-transparent PVC floor; Figure 2 Schematic diagram of the process for verifying the physical properties of coating material formulations; Figure 3 Schematic diagram of the process for verifying the continuity and consistency of geometric characteristics; Figure 4 Schematic diagram of the process for comparative verification of production process parameters. DETAILED DESCRIPTION

[0020] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0021] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more related listed items.

[0022] Embodiment 1; like Figure 1 As shown, the present application provides a method for controlling the surface coating of a high-transparency PVC floor, the method comprising: S10: Based on the target performance requirements of the coating, determine the composition of the coating material formula according to the existing coating ratio, and calibrate the ratio range of the key components of the coating material formula; S20: Establish a surface microstructure characteristic model to verify the physical properties of the coating material formula in forming a surface structure with micro-nanoscale composite roughness, and generate physical property verification results; S30: Based on the physical property verification results and target performance requirements, the production process parameters of the coating are compared and verified.

[0023] Specifically, based on the target requirements of high-transparency PVC flooring for optical properties (transparency, gloss), physical properties (wear resistance, stain resistance) and durability (scratch resistance, adhesion), a variety of possible formulation systems were selected from the existing coating material database. By analyzing the physicochemical properties of key components in each system (such as optical transparent agents, anti-wear enhancers, adhesives and diluents), the coating material formula was preliminarily determined, and the proportion range of each component was calibrated. Simulation software was used to simulate the behavior of coating liquid in forming micro-nanoscale composite roughness on the surface of PVC substrate. By adjusting the surface tension, viscosity and spreadability of the coating liquid, the surface microstructure characteristics of the coating after curing were predicted, and the results were summarized. The reliability of the simulation results was verified by combining actual test data. Under laboratory conditions, several coating samples were prepared to test their transparency (transmittance not less than 95%), wear resistance (no obvious damage after friction times of more than 10,000 times) and anti-fouling ability (the surface is easy to clean and oil stains can be easily wiped off). The feasibility of the coating material formula was verified by comparing with the target performance requirements. A set of comparative experimental plans was formulated for the key process parameters that may affect the coating quality during the coating process (such as spraying speed, spraying thickness, curing temperature and time). Different production process parameters were set as controls at fixed intervals, and coating samples under different parameter conditions were obtained through experimental production, and the sample performance was tested.

[0024] Through the technical solution of the present invention, by optimizing the composition and proportion range of the coating material formula, combining the design of the micro-nano composite structure with the multi-scale physical property verification method, the problems of insufficient transparency, durability and anti-fouling ability of the coating are solved; at the same time, by precisely controlling the production process parameters, the consistency and reliability of the coating under different process conditions are ensured.

[0025] Further, if Figure 2 As shown, the physical properties of the coating material formulation in forming a surface structure with micro-nanoscale composite roughness are verified, including: Based on the target performance requirements, combined with the coating material formula and the ratio range of key components, select the benchmark parameters related to the micro-nanoscale roughness of the coating surface; Establish a surface microstructure characteristic model to simulate the behavior change trend of the coating liquid's wettability and dynamic flow behavior on the substrate surface; Based on the behavior change trend, the interfacial energy distribution of the benchmark parameters on the coating surface is analyzed; According to the interfacial energy distribution, the geometric characteristics and distribution laws of the micro-nano scale composite structure formed by the coating liquid on the substrate surface are established.

[0026] As a preferred embodiment of the above embodiment, according to the target performance requirements of the coating (such as transparency, antifouling, wear resistance, etc.), combined with the coating material formula and the ratio range of key components, the benchmark parameters closely related to the micro-nanoscale roughness of the coating surface are determined, and the benchmark parameters include the viscosity, surface tension, and spreadability of the coating liquid; a numerical simulation technology, such as a finite element analysis method, is used to establish a surface microstructure characteristic model to simulate the wetting behavior and dynamic flow characteristics of the coating liquid on the surface of the PVC substrate. During the simulation process, the benchmark parameters and the initial roughness of the substrate surface (such as a surface treated with micron-level sandpaper) are input as boundary conditions to calculate the spreading rate and thickness distribution of the coating liquid under different parameter conditions; based on the simulation results, the interfacial energy distribution of the coating liquid on the substrate surface is further analyzed, including calculating the interfacial adhesion energy between the liquid and the substrate surface and the cohesive energy between the liquids, and by comparing the interfacial energy distribution under different benchmark parameter conditions, it is evaluated whether the coating liquid has stable spreadability on the substrate surface; according to the results of the interfacial energy distribution, the micro-nanoscale composite roughness structure formed after the coating liquid is cured on the substrate surface is simulated. The roughness geometric characteristics of specific areas on the coating surface (such as roughness Ra of 50-100 nm) and its distribution law are obtained through simulation. The simulation results are compared with the target performance requirements to confirm whether the coating material formula and benchmark parameters meet the design requirements.

[0027] For example, experiments were conducted using a coating material formula. Through numerical simulation, the coating liquid was applied to the surface of a sandpaper-treated PVC substrate, and its dynamic spreading behavior and the final surface roughness distribution after curing were calculated.

[0028] Furthermore, the geometric characteristics and distribution laws of the micro-nanoscale composite structure formed by the coating liquid on the substrate surface are established, including: Based on the interface energy distribution and benchmark parameters, the coupling relationship between the spreading behavior of the coating liquid at the microscale and the surface roughness is calculated; Based on the coupling relationship, a micro-nano scale composite structure of the coating liquid on the substrate surface is established; By simulating the geometric properties of the coating liquid in the micro-nanoscale composite structure, the continuity and consistency of the geometric properties at multiple scales are verified; Based on the verification results, the geometric characteristics and distribution laws of the micro-nanoscale composite structure formed by the coating liquid on the substrate surface are extracted.

[0029] As a preferred embodiment of the above, based on the interfacial energy distribution and the selected reference parameters (such as liquid viscosity, surface tension, contact angle, etc.), the dynamic spreading behavior of the coating liquid on the substrate surface is calculated by numerical simulation, and the influence of the initial roughness of the substrate surface is considered. A coupling model (such as a multi-physics field model combining fluid dynamics and surface energy analysis) is used to analyze how the coating liquid fills and covers the irregular micron and nanometer scale structures on the substrate surface; according to the coupling relationship between the spreading behavior and the surface roughness, the micro-nano scale composite structure formed after the coating liquid solidifies on the substrate surface is simulated. The specific method is to use the simulated spreading boundary as input, and combine the curing characteristics of the coating liquid to calculate the final morphology of the coating at the micron and nanometer scales to generate a three-dimensional geometric model; and use a multi-scale simulation method (such as hierarchical modeling from nanometers to micrometers) to simulate the changing trend of the geometric characteristics of the coating liquid in the process of forming the micro-nano structure. The transition effect of the micro-nano structure in different regions is analyzed in particular to verify its continuity and consistency. The variation range of coating surface roughness (such as Ra value from 50nm to 80nm) is used as the evaluation standard to ensure the overall uniformity of the coating surface; based on the verification results, the key geometric characteristics of the micro-nano structure of the coating surface are extracted, such as roughness Ra, peak height distribution, valley depth distribution, etc., as well as its spatial distribution law on the substrate surface (such as uniform distribution or specific distribution pattern).

[0030] For example, the surface tension and viscosity of the coating liquid are controlled, and it is coated on the surface of a PVC substrate treated with sandpaper to obtain the initial roughness of the substrate surface. The dynamic spreading process of the coating liquid is simulated by finite element analysis software, and its spreading behavior at the micron and nanometer scales is calculated. The simulation results show that the spreading of the coating liquid on the rough surface is affected by the viscosity and interfacial energy, and can form a uniform micro-nano composite roughness structure. The continuity and consistency of the geometric properties in multiple regions are verified by the simulation results.

[0031] Further, if Figure 3 As shown, verify the continuity and consistency of geometric properties at multiple scales, including: According to the changes in the physical properties of micro- and nano-scale composite structures, the physical verification of the coating surface is divided into multiple scales; The fluid behavior of coating liquid in micro-nanoscale composite structures is simulated by multi-scale simulation; By calculating the transition area of ​​the micro-nanoscale composite structure at each scale, the continuity of the micro-nanoscale composite structure during scale change is verified; Based on the target performance requirements, the spreading behavior, wettability and fluidity of the micro-nanoscale composite structure are verified to be consistent under different scale conditions.

[0032] As a preferred embodiment of the above embodiment, the scale range of verification is determined according to the physical properties of the micro-nano scale composite structure, for example, the particle distribution and interface energy are analyzed at the nanoscale (10-100 nm), and the surface roughness characteristics and interface morphology are analyzed at the microscale (1-10 µm). Within these ranges, the verification area is refined and key characteristic indicators (such as wetting angle, roughness Ra and interface adhesion) are defined; multi-physics field simulation tools (such as fluid mechanics and thermodynamics coupling model) are used to simulate the dynamic fluid behavior of the coating liquid in the micro-nano scale composite structure. At the nanoscale, the spreading and curing process of the coating liquid molecules on the substrate surface is studied through molecular dynamics simulation; at the micrometer scale, the large-scale spreading behavior and thickness distribution of the coating liquid are analyzed through a continuous medium model; the transition region of the micro-nano scale composite structure is simulated and calculated to extract the geometric characteristic change curve of the transition region. For example, the gradient change from the rough particle distribution at the nanoscale to the overall roughness at the micrometer scale is used to check whether the surface characteristics of the transition area are smoothly transitioned and without mutations; verify whether there are discontinuities in the geometric and physical parameters of adjacent areas between different scales; on the basis of simulation, further experimental measurements of spreading behavior, wettability and fluidity are conducted to analyze whether the performance of the coating liquid is consistent under the conditions of each scale, and a contact angle meter is used to verify the wetting angle of the coating on surfaces of different scales; optical microscopes and atomic force microscopes (AFM) are used to measure the surface morphology of micro- and nanostructures; and a fluid viscometer is used to test the flow characteristics of the coating liquid at different scales.

[0033] For example, a PVC sample with a substrate surface roughness of 1.2 µm was used, and an acrylic coating liquid with 0.5% nanoparticles added was used. The behavior of the coating liquid in forming a composite structure on a surface with nanoparticle distribution and micron roughness was calculated using a multiscale simulation tool. The simulation results show that the wetting angle of the coating liquid at the nanoscale fluctuates within a fixed angle, and the spreading radius at the microscale varies within a fixed size, indicating that the continuity of the structural transition area is good. The performance consistency of the coating samples at different scales was verified experimentally, and the contact angle test results were obtained to verify the uniform spreading and wettability of the coating liquid on nano- and micron-scale surfaces; the roughness gradient of the micro-nanostructure on the coating surface was measured to see if it was smooth and whether there were mutation areas.

[0034] Further, the composition of the coating material formula is determined according to the existing coating ratio, including: Determine target performance requirements based on physical, optical and durability design requirements; According to the target performance requirements, analyze the proportion of each component in the existing coating formula, and determine the main components of the formula in combination with the physical and chemical properties of known materials; Based on the existing coating ratio, design the coating material formula according to the main ingredients of the formula; Based on the target performance requirements, the proportion range of each key ingredient in the coating material formula is calibrated.

[0035] As a preferred embodiment of the above, according to the application requirements of high-transparency PVC flooring, the physical, optical and durability design requirements of the coating are clarified, such as the coating hardness must reach above 6H, the visible light transmittance must be no less than 90%, the haze must be controlled within 1%, and the durability indicators of relevant standards must be met. The common transparent coating formulas on the market are analyzed. For example, a representative acrylic-based coating is selected as a reference to determine its main components and proportion range. On this basis, the formula is optimized according to the physicochemical properties of the material, such as increasing the molecular weight of the acrylic resin to enhance the hardness and transparency of the coating, selecting highly weather-resistant polyurethane to improve flexibility and wear resistance, and introducing high-refractive-index nano-silica to improve the surface performance of the coating. Based on the target performance requirements, the proportion range of key components is calibrated, and small-batch experiments are conducted to verify whether the formula meets the target performance requirements.

[0036] Furthermore, the ratio range of each key component in the coating material formula is calibrated, including: Based on the target performance requirements and the physical and chemical properties of the existing formula ingredients, preliminarily calibrate the proportion range of each key ingredient; Conduct experimental verification on the initially calibrated ratio range, and adjust the ratio range of each key component based on the experimental results; Conduct sensitivity analysis on each ratio range, and further calibrate the ratio range based on the results of the sensitivity analysis; Based on experimental verification and sensitivity analysis, the final proportion range of each key ingredient was finally determined through multiple iterations and optimization adjustments.

[0037] As a preferred embodiment of the above embodiment, the proportion range of key components of the coating is preliminarily determined according to the target performance requirements (such as transparency ≥ 90%, hardness ≥ 3H, adhesion ≥ 5B) and the physicochemical properties of the existing coating formula components (such as refractive index, viscosity, and curing rate); according to the preliminarily calibrated proportion range, multiple groups of samples are prepared and their performance is tested, and the test content includes using a UV-visible spectrophotometer to test the transparency of the samples; using a hardness tester to test the surface hardness of the samples; using the hundred-grid method to test the adhesion of the samples; according to the experimental results, the proportion range of the components is adjusted; a sensitivity analysis tool is used to evaluate the degree of influence of each key component on the coating performance; combined with the results of experimental verification and sensitivity analysis, the proportion range of each component is finally determined through multiple iterative adjustments and optimizations.

[0038] Further, if Figure 4 As shown, the production process parameters of the coating are compared and verified, including: Select the production process parameters that affect coating performance based on target performance requirements and physical property verification results; Formulate comparative experimental plans for production process parameters, and set multiple production process parameters in the horizontal direction for testing; Experimental production was carried out according to the comparative experimental plan, and coating samples were produced using different production process parameters; Perform a comparative analysis on the performance data of the coating samples, and screen the production process parameters that meet the target performance requirements based on the results of the comparative analysis.

[0039] As a preference of the above embodiment, according to the target performance requirements and the physical property verification results, process parameters that have a significant impact on the coating performance are selected, for example, the selected parameters include: coating speed, coating thickness, curing temperature and curing time; for each production process parameter design level change range, the orthogonal experimental method is used to combine different parameters for experimental design; according to the experimental design plan, experimental production is carried out on the actual production line, and only one process parameter is changed in each group of experiments, and the remaining parameters are kept under the benchmark conditions (such as coating speed 1 m / min, coating thickness 15 µm, curing temperature 80°C, curing time 60 s), and the coating samples produced in each group are collected for performance testing, and the performance data of the coating samples are compared and analyzed. According to the test results, the influence of each process parameter on the coating performance is analyzed, and the trend curve of performance with parameter change is drawn; based on the performance comparison analysis, the best process parameter combination that meets the target performance requirements is screened out.

[0040] Furthermore, the performance data of the coating samples were compared and analyzed, including: Analyze the performance data of coating samples and establish a performance comparison analysis scale; The microscopic features of each coating sample were mapped in relation to the macroscopic properties according to the performance comparison analysis scale; Calculate the weight coefficient of each mapping line and dynamically adjust the weight coefficient according to the performance requirements of the coating in different application environments; The weight coefficients were matched one by one with the coating samples, and a performance comparison analysis was performed based on the comparison weight coefficients.

[0041] As a preferred embodiment of the above embodiment, the performance data of the coating samples are analyzed, a performance comparison analysis scale is established, the performance test data of the coating samples are collected, including indicators such as transparency, hardness, adhesion and wear resistance, a performance comparison analysis scale is set, and weights are divided according to importance; the microscopic characteristics of the coating samples are correlated with the macroscopic performance, the microscopic characteristics (such as surface roughness, interface energy distribution) and macroscopic performance (such as transparency, adhesion) of the coating samples are tested, and a correlation mapping model is established, for example, the relationship between surface roughness and transparency is calculated by optical reflectivity analysis, the relationship between interface energy distribution and adhesion is evaluated by simulation, and a quantitative mapping relationship between microscopic characteristics and macroscopic performance is established using regression analysis or a neural network model; according to the contribution of each microscopic feature to different performances, the weight coefficient of the mapping line is calculated, and the weight coefficient is dynamically adjusted in different application scenarios, for example, for scenarios with high transparency requirements, the weight coefficient of transparency is increased; the weight coefficient is matched one by one with the coating sample, the comprehensive performance score of each sample is calculated by weighted average method, the comprehensive score is compared, and the best sample group that meets the target performance requirements is screened out.

[0042] Embodiment 2: Based on the same inventive concept as the method for controlling the surface coating of a highly transparent PVC floor in the aforementioned embodiment, the present invention also provides a control system for the surface coating of a highly transparent PVC floor, the system comprising: The formula composition calibration module determines the composition of the coating material formula based on the target performance requirements of the coating and the existing coating ratio, and calibrates the ratio range of the key components of the coating material formula; The physical property verification module establishes a surface microstructure characteristic model, verifies the physical properties of the coating material formula in forming a surface structure with micro-nanoscale composite roughness, and generates physical property verification results; The parameter comparison and verification module compares and verifies the production process parameters of the coating based on the physical performance verification results and target performance requirements.

[0043] The above-mentioned adjustment system in the present invention can effectively realize the high-transparency PVC floor surface coating control method, and the technical effects that can be achieved are as described in the above-mentioned embodiments, which will not be repeated here.

[0044] Embodiment three; Based on the same inventive concept as the method for controlling the surface coating of a highly transparent PVC floor in the aforementioned embodiment, the present invention also provides a device for controlling the surface coating of a highly transparent PVC floor, the device comprising: The coating proportioning unit includes an automatic metering pump and a mixing device, which is used to accurately mix the components of the coating liquid according to the calibrated ratio; A surface pretreatment unit, including a plasma treatment device and a laser cleaning device, is used to clean and improve the roughness and adhesion of the surface of the PVC floor substrate; A coating unit, including an automatic spray system and a nozzle regulator to control the coating's uniform distribution, thickness, and coating path; Curing unit, including UV curing lamps and hot air circulation box, is used to cure the coating liquid to ensure that the hardness, adhesion, transparency and wear resistance of the coating meet the expected standards; The performance detection and feedback unit includes an optical detector, a hardness tester, a surface scanner, and a feedback control unit, which are used to detect the optical and physical properties of the coating sample and feed back the results to the system.

[0045] Specifically, the automatic metering pump accurately controls the proportion of each coating component and mixes the components evenly through the mixing device to ensure that the performance of the coating liquid meets the requirements; before coating, the surface of the substrate is cleaned and the roughness is optimized by the surface pretreatment unit (including the plasma treatment device and the laser cleaning device) so that the substrate surface forms a microstructure that is compatible with the coating liquid; after the pretreatment is completed, the substrate is transferred to the coating unit and the coating liquid is evenly coated by the automatic spraying system. The nozzle regulator adjusts the spraying parameters (including the spraying angle, flow rate and path) in real time according to the surface roughness of the substrate to ensure that the coating liquid is evenly distributed on the surface of the substrate and fully combined with the surface characteristics of the pretreatment; the coated substrate quickly It quickly enters the curing unit and uses the combined effect of UV curing lamps and hot air circulation box to complete the rapid curing of the coating liquid. The UV curing lamps ensure that the hardness and transparency of the coating liquid meet the expectations, while the hot air circulation box reduces bubbles and shrinkage problems by uniform heating, thereby further improving the smoothness and durability of the coating surface. After curing, the coating sample is transmitted to the performance detection and feedback unit, which uses optical detectors, hardness testers and surface scanners to respectively detect the transparency, hardness and surface roughness of the coating. The detection results are transmitted back to the equipment control system in real time through the feedback control unit, which is used to adjust the component ratio in the coating ratio preparation unit or optimize the process parameters of the coating unit and the curing unit.

[0046] For example, in actual operation, the equipment completes coating production according to the coordination between steps and modules: the coating ratio preparation unit sets the component ratio (such as 70% polyurethane resin, 20% nanofiller, and 10% additive), and dynamically and evenly mixes them through a mixing device; the surface pretreatment unit optimizes the surface roughness of the substrate through plasma cleaning (processing time 30 seconds) and laser cleaning (roughness is controlled within the range of 0.2-0.5μm); the coating unit sets the spray path and thickness according to the characteristics of the substrate (coating thickness is controlled within the range of 10-15μm), and adjusts the spray parameters through real-time sensors; the coated substrate immediately enters the curing unit and is cured under a UV curing lamp for 5 seconds, while a hot air circulation box is used to further homogenize the coating performance; the performance detection and feedback unit detects the transparency (optical performance error <1%), hardness (above 3H) and surface uniformity of the coating, and feeds back the data to the system to optimize subsequent production processes.

[0047] Although the present application has been described in conjunction with specific features and embodiments thereof, it is obvious that various modifications and combinations may be made thereto without departing from the spirit and scope of the present application. Accordingly, this specification and the accompanying drawings are merely exemplary illustrations of the present application as defined therein, and are deemed to have covered any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application is intended to include these modifications and variations.

Claims

1. A method for controlling the surface coating of a highly transparent PVC floor, characterized in that: The method comprises: Based on the target performance requirements of the coating, the composition of the coating material formula is determined according to the existing coating ratio, and the ratio range of the key components of the coating material formula is calibrated; Establishing a surface microstructure characteristic model, verifying the physical performance of the coating material formula in forming a surface structure with micro-nanoscale composite roughness, and generating physical performance verification results; Based on the physical property verification results and the target performance requirements, the production process parameters of the coating are compared and verified.

2. The method for controlling the surface coating of a highly transparent PVC floor according to claim 1, characterized in that: Verify the physical properties of the coating material formula in forming a surface structure with micro-nanoscale composite roughness, including: Based on the target performance requirements, combined with the coating material formula and the key component ratio range, select benchmark parameters related to the micro-nanoscale roughness of the coating surface; Establish a surface microstructure characteristic model to simulate the behavior change trend of the coating liquid's wettability and dynamic flow behavior on the substrate surface; Based on the behavior change trend, analyzing the interface energy distribution of the benchmark parameter on the coating surface; According to the interface energy distribution, the geometric characteristics and distribution law of the micro-nano scale composite structure formed by the coating liquid on the surface of the substrate are established.

3. The method for controlling the surface coating of a highly transparent PVC floor according to claim 2, characterized in that: Establish the geometric characteristics and distribution law of the micro-nanoscale composite structure formed by the coating liquid on the substrate surface, including: Based on the interface energy distribution and the reference parameters, calculating the coupling relationship between the spreading behavior of the coating liquid at a microscopic scale and the surface roughness; According to the coupling relationship, establishing the micro-nano scale composite structure of the coating liquid on the surface of the substrate; By simulating the geometric properties of the coating liquid on the micro-nanoscale composite structure, the continuity and consistency of the geometric properties at multiple scales are verified; Based on the verification results, the geometric characteristics and distribution laws of the micro-nano scale composite structure formed by the coating liquid on the surface of the substrate are extracted.

4. The method for controlling the surface coating of a highly transparent PVC floor according to claim 3, characterized in that: Verify the continuity and consistency of the geometric properties at multiple scales, including: According to the changes in the physical properties of the micro-nanoscale composite structure, the physical verification of the coating surface is divided into multiple scales; Performing computational simulation on the fluid behavior of the coating liquid in the micro-nanoscale composite structure through multi-scale simulation; By calculating the transition area of ​​the micro-nanoscale composite structure at each scale, the continuity of the micro-nanoscale composite structure during the scale change process is verified; Based on the target performance requirements, under different scale conditions, it is verified whether the spreading behavior, wettability and fluidity of the micro-nanoscale composite structure remain consistent.

5. The method for controlling the surface coating of a highly transparent PVC floor according to claim 1, characterized in that: Determine the composition of the coating material formula according to the existing coating ratio, including: Determine the target performance requirements based on physical, optical and durability design requirements; According to the target performance requirements, analyze the proportion of each component in the existing coating formula, and determine the main components of the formula in combination with the physical and chemical properties of known materials; Based on the existing coating ratio, designing the coating material formula according to the main ingredients of the formula; Based on the target performance requirements, the proportion range of each key component in the coating material formula is calibrated.

6. The method for controlling the surface coating of a highly transparent PVC floor according to claim 5, characterized in that: The ratio range of each key component in the coating material formula is determined, including: Preliminarily calibrate the proportion range of each key ingredient according to the target performance requirements and the physicochemical properties of the existing formula ingredients; Conducting experimental verification on the initially calibrated ratio range, and adjusting the ratio range of each of the key components according to the experimental results; Performing sensitivity analysis on each of the ratio ranges, and further calibrating the ratio range according to the results of the sensitivity analysis; Based on the experimental verification and sensitivity analysis, the final proportion range of each key component is finally determined through multiple iterations and optimization adjustments.

7. The method for controlling the surface coating of a highly transparent PVC floor according to claim 1, characterized in that: Comparative verification of coating production process parameters, including: According to the target performance requirements and physical property verification results, the production process parameters affecting the coating performance are selected; Formulate a comparative experimental plan for the production process parameters, and set a plurality of the production process parameters in the horizontal direction for testing; Conducting experimental production according to the comparative experimental scheme, and producing coating samples using different production process parameters; A performance comparison analysis is performed on the performance data of the coating samples, and based on the results of the performance comparison analysis, the production process parameters that meet the target performance requirements are screened.

8. The method for controlling the surface coating of a highly transparent PVC floor according to claim 7, characterized in that: The performance data of the coating samples are subjected to performance comparison analysis, including: Analyzing the performance data of the coating samples and establishing a performance comparison analysis scale; Correlating and mapping the microscopic characteristics of each coating sample with the macroscopic performance according to the performance comparison analysis scale; Calculating a weight coefficient for each mapping line, and dynamically adjusting the weight coefficient according to the performance requirements of the coating in different application environments; The weight coefficients are matched one by one with the coating samples, and a performance comparison analysis is performed based on the comparison of the weight coefficients.

9. Highly transparent PVC floor surface coating control system, characterized in that: The system comprises: The formula composition calibration module determines the composition of the coating material formula based on the target performance requirements of the coating and the existing coating ratio, and calibrates the ratio range of the key components of the coating material formula; The physical property verification module establishes a surface microstructure characteristic model, verifies the physical properties of the coating material formula in forming a surface structure with micro-nanoscale composite roughness, and generates physical property verification results; The parameter comparison and verification module compares and verifies the production process parameters of the coating based on the physical performance verification results and target performance requirements.

10. Highly transparent PVC floor surface coating control equipment, characterized in that: The device comprises: The coating proportioning unit includes an automatic metering pump and a mixing device, which is used to accurately mix the components of the coating liquid according to the calibrated ratio; A surface pretreatment unit, including a plasma treatment device and a laser cleaning device, is used to clean and improve the roughness and adhesion of the surface of the PVC floor substrate; A coating unit, including an automatic spray system and a nozzle regulator to control the coating's uniform distribution, thickness, and coating path; Curing unit, including UV curing lamps and hot air circulation box, is used to cure the coating liquid to ensure that the hardness, adhesion, transparency and wear resistance of the coating meet the expected standards; The performance detection and feedback unit includes an optical detector, a hardness tester, a surface scanner, and a feedback control unit, which are used to detect the optical and physical properties of the coating sample and feed back the results to the system.

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