High-temperature-resistant automobile HPE protective film and preparation method thereof

Abstract

The invention relates to the technical field of protection film preparation, in particular to a high-temperature-resistant automobile HPE protection film and a preparation method thereof. The method comprises the following steps: acquiring coating liquid information, base material information and coating equipment information, and determining coating uniformity according to the coating liquid information, the base material information and the coating equipment information; environment information is obtained, and the coating flatness is determined according to the coating uniformity and the environment information; acquiring a real-time production demand, and determining a coating strategy according to the real-time production demand and the coating flatness; and producing the protective film according to the coating strategy to obtain a protective film product. According to the method, the multi-dimensional information in the coating process is integrated, so that the coating uniformity and flatness are accurately predicted and controlled, a scientific and reasonable coating strategy is formulated, the production efficiency and stability of the protective film are improved, and the consistency and reliability of the product quality are ensured.

Description

Technical Field

[0001] The present application relates to the technical field of protective film preparation, and in particular to a high-temperature resistant automotive HPE protective film and a preparation method thereof. Background Art

[0002] With the continuous improvement of people's living standards, cars have entered thousands of households. At the same time, the automotive film preparation industry has also emerged. Among them, in the preparation process of automotive films, the coating preparation process of automotive films greatly guarantees the overall quality of automotive films.

[0003] However, since the coating process of the high-temperature resistant automotive HPE protective film is relatively complicated, the surface flatness of the film may not meet the coating standards. At this time, there will be a certain delay in the system or human adjustment of the coating preparation process. The existence of delay will cause bubbles or edge warping on the surface of the coated automotive film, thereby making the coating quality of the automotive HPE protective film unable to be guaranteed and causing economic losses to the company's production. Summary of the invention

[0004] The present application provides a high temperature resistant automotive HPE protective film and a preparation method thereof to solve the above problems.

[0005] In a first aspect, the present application provides a method for preparing a high temperature resistant automotive HPE protective film, the method comprising: Acquiring coating liquid information, substrate information and coating equipment information, and determining coating uniformity according to the coating liquid information, the substrate information and the coating equipment information; Acquiring environmental information, and determining coating flatness according to the coating uniformity and the environmental information; Obtaining real-time production demand, and determining a coating strategy according to the real-time production demand and the coating flatness; The protective film is produced according to the coating strategy to obtain a protective film product.

[0006] Through the above technical solutions, by integrating multi-dimensional information such as coating liquid, substrate, equipment, environment and real-time production needs, accurate prediction and control of coating uniformity and flatness are achieved, and then a scientific and reasonable coating strategy is formulated, which not only improves the efficiency and stability of protective film production, but also ensures the consistency and reliability of product quality. By dynamically adjusting coating parameters to adapt to different production conditions and needs, the flexibility and adaptability of the production line are enhanced, which helps enterprises to quickly respond to market changes and improve their competitiveness.

[0007] Optionally, determining coating uniformity according to the coating liquid information, the substrate information and the coating equipment information includes: Determining the coating liquid viscosity and the coating liquid surface tension according to the coating liquid information; Determining the surface roughness and surface energy of the substrate according to the substrate information; Determining a coating speed according to the coating equipment information; Acquiring coating monitoring information, and determining the thickness fluctuation degree according to the coating monitoring information; Obtaining historical coating liquid viscosity, historical surface tension, historical surface roughness, historical substrate surface energy, historical coating speed, and historical thickness fluctuation degree, and determining a surface tension index, a surface roughness index, a viscosity index, a coating speed index, a surface energy adjustment coefficient, and a thickness adjustment coefficient according to the historical coating liquid viscosity, historical surface tension, historical surface roughness, historical substrate surface energy, historical coating speed, and historical thickness fluctuation degree; According to the coating liquid viscosity, the surface tension index, the surface roughness index, the viscosity index, the coating speed index, the surface energy adjustment coefficient, the thickness adjustment coefficient, the surface tension, the substrate surface energy, the thickness fluctuation degree, the surface roughness and the coating speed, the preliminary coating uniformity is determined and calculated according to the following formula: ; in, Indicates the initial coating uniformity, represents the surface tension, represents the surface tension index, represents the surface roughness, represents the surface roughness index, represents the viscosity of the coating liquid, represents the viscosity index, represents the coating speed, represents the coating speed index, represents the surface energy adjustment coefficient, represents the surface energy of the substrate, represents the thickness adjustment coefficient, Indicates the degree of thickness fluctuation; The coating uniformity is determined according to the preliminary coating uniformity and the coating equipment information.

[0008] Through the above technical solution, by introducing a multi-parameter comprehensive evaluation model, the prediction and control accuracy of coating uniformity has been significantly improved. Not only the physical properties of the coating liquid itself are taken into account, but also the influence of substrate characteristics and coating process parameters on uniformity is deeply analyzed. At the same time, by introducing historical data to calibrate and adjust key parameters, the formula is closer to the actual production situation. This refined control method can effectively reduce the unevenness in the coating process, improve the quality and consistency of the finished protective film, and thus enhance the market competitiveness of the product.

[0009] Optionally, determining coating uniformity according to the preliminary coating uniformity and the coating equipment information includes: Determining the vibration frequency and the vibration amplitude of the coating device according to the coating device information; Obtaining historical vibration frequency, historical vibration amplitude and historical coating uniformity, and determining a vibration amplitude index, a vibration adjustment coefficient and a vibration frequency index according to the historical vibration amplitude, the historical vibration frequency and the historical coating uniformity; The coating uniformity is determined based on the preliminary coating uniformity, the vibration frequency, the vibration amplitude index, the vibration frequency index, the vibration adjustment coefficient and the vibration amplitude, and is calculated according to the following formula: ; in, Indicates the coating uniformity, Indicates the initial coating uniformity, represents the vibration adjustment coefficient, represents the vibration frequency, represents the vibration frequency index, represents the vibration amplitude, represents the vibration amplitude index.

[0010] Through the above technical solution, by comprehensively considering the physical properties of the coating liquid, the characteristics of the substrate, the coating speed and the vibration state of the equipment, the actual situation in the coating process can be more comprehensively reflected, thereby more accurately predicting and controlling the coating uniformity. This refined control strategy helps to reduce the unevenness caused by equipment vibration, improve coating accuracy and product quality, and provide a strong guarantee for the production of high-quality protective films.

[0011] Optionally, determining coating flatness according to the coating uniformity and the environmental information includes: Determine the ambient temperature, ambient humidity, light intensity and air flow rate according to the ambient information; Obtaining historical coating uniformity, historical light intensity and historical ambient humidity, and determining uniformity weight, light intensity weight and ambient humidity weight according to the historical coating uniformity, the historical light intensity and the historical ambient humidity; The coating flatness is determined according to the ambient temperature, the uniformity weight, the light intensity, the light intensity weight, the ambient humidity weight, the ambient humidity, the air flow rate and the coating uniformity, and is calculated according to the following formula: ; in, Indicates the coating flatness, represents the uniformity weight, Indicates the coating uniformity, represents the ambient temperature, represents the humidity weight, represents the environmental humidity weight, represents the air flow rate, represents the light intensity weight, Represents the light intensity.

[0012] Through the above technical solution, by introducing weight coefficients to quantify the effect of different factors on flatness, the impact of environmental fluctuations during the coating process on flatness can be more comprehensively reflected, so as to more accurately predict and control the coating results, improve the prediction accuracy and control ability of coating flatness, help reduce product quality problems caused by environmental changes, and improve production efficiency and product consistency. At the same time, through the analysis of historical data and the optimization of weights, reliable technical support is provided for the production of high-quality protective films.

[0013] Optionally, determining coating flatness according to the coating uniformity and the environmental information includes: Determining a coating area according to the coating monitoring information; determining the fluidity of the coating liquid in the coating area according to the vibration frequency and the vibration amplitude; Dividing the coating area to obtain a plurality of coating areas; Determining the fluidity of the coating liquid in each coating area according to the plurality of coating areas and the fluidity of the coating liquid; Determining the coating thickness of each coating area according to the coating flatness and the fluidity of the coating liquid; The coating flatness is determined according to the coating thickness of each coating area, the coating uniformity and the environmental information.

[0014] Through the above technical solution, the control accuracy of coating flatness is significantly improved by refining the monitoring and analysis of the coating area. The coating area is determined according to the coating monitoring information, and the fluidity of the coating liquid is evaluated in combination with the vibration characteristics of the equipment, and then the coating area is finely divided. It makes the capture of local changes in the coating process more sensitive. The coating thickness of each area is adjusted according to the fluidity of the coating liquid to optimize the overall flatness. At the same time, the coating uniformity, environmental information and coating thickness are comprehensively considered, and the coating flatness is iteratively evaluated and adjusted, which not only improves the stability of the coating quality, but also enhances the flexibility and adaptability of the production process, providing a strong guarantee for the production of high-quality protective film products.

[0015] Optionally, determining the coating flatness according to the coating thickness of each coating area, the coating uniformity and the environmental information includes: Determining the volume of solvent, the volume of coating material and the volume of solid according to the coating liquid information; Determining the curing shrinkage rate according to the solvent volume, the ambient temperature and the solid volume; Determining a curing shrinkage rate of each coating area according to the plurality of coating areas and the curing shrinkage rate; Determining a coating area according to the coating monitoring information; Obtaining historical curing time and historical coating thickness of each region, and determining a curing time weight according to the historical curing time and the historical coating thickness of each region; Acquire coating process information, and determine curing time and curing temperature according to the coating process information; According to the curing time, the coating area, the volume of the coating material, the curing time weight, the curing temperature and the curing shrinkage rate of each coating area, the coating thickness of each area is determined and calculated according to the following formula: ; in, represents the coating thickness of each area, represents the volume of the coating material, Indicates The area of ​​the coating area, Indicates The curing shrinkage of each coating area is represents the curing temperature, represents the curing time weight, Indicates the curing time.

[0016] Through the above technical solution, by comprehensively considering multiple factors, the coating thickness of each area in the coating process is accurately calculated and controlled. Not only does it improve the uniformity and consistency of the coating thickness, but it also effectively responds to the volume changes that may occur in the coating material during the curing process by introducing parameters such as curing time weight and curing shrinkage, thereby ensuring the quality and performance of the final product. In addition, according to different coating process information and historical data, parameters such as curing time and temperature are dynamically adjusted to meet different production needs, which is of great significance to improving the overall quality and market competitiveness of protective film products.

[0017] Optionally, after determining the coating thickness of each area according to the coating flatness and the fluidity of the coating liquid, the method further includes: Determining the substrate absorbency and the substrate thermal expansion coefficient according to the substrate information; Determining the degree of influence of bubbles according to the coating speed, the absorbency of the substrate and the thermal expansion coefficient of the substrate; Determine the volume and position of the bubbles according to the bubble impact degree and the coating monitoring information; The coating scraping amplitude is determined according to the bubble volume and the bubble position.

[0018] Through the above technical solution, by deeply analyzing the relationship between substrate characteristics and coating process parameters, the bubble problem that may occur during the coating process is effectively predicted and controlled. By quantifying the impact of bubbles and combining coating monitoring information, the volume and position of bubbles are accurately identified, thereby guiding the adjustment of the coating scraping amplitude. This targeted bubble control strategy not only improves the stability of the coating process and product quality, but also reduces the scrap rate and production cost waste caused by bubbles.

[0019] Optionally, determining a coating strategy according to the real-time production demand and the coating flatness includes: Determine the production type, production quantity and delivery time according to the real-time production demand; Determine the production priority of the automotive film according to the delivery time and the production quantity; Determining a coating flatness grade according to the coating flatness; A coating strategy is determined according to the coating flatness level, the production type and the production priority.

[0020] Through the above technical solutions, the refined management and optimization of the automotive film production process are achieved by comprehensively considering multiple factors such as real-time production demand, delivery time, production quantity, and coating flatness. Flexible response to the needs of different production types and priorities ensures that key orders are delivered on time. At the same time, by evaluating the coating flatness level, a scientific basis is provided for the formulation of coating strategies, which helps to improve product quality and consistency, not only improving production efficiency and resource utilization, but also enhancing the company's market responsiveness and customer satisfaction.

[0021] Optionally, determining a coating strategy according to the coating flatness level, the production type and the production priority includes: Determining coating pressure and coating gap according to the coating flatness grade and the production type; Determining the substrate coating sequence and substrate coating time according to the production priority; Determining the type of coating liquid according to the coating liquid information; Determining a curing method according to the type of the coating liquid and the coating time of the substrate; The coating strategy is determined according to the coating pressure, the coating gap and the curing method.

[0022] Through the above technical solutions, by finely controlling the key parameters in the coating process and selecting the appropriate curing method according to the type of coating liquid and the coating time of the substrate, a high degree of customization and optimization of the coating strategy is achieved. It not only ensures that the coating flatness meets the standards, but also takes into account the dual needs of production efficiency and product quality. At the same time, flexible adjustment of the substrate coating order according to production priorities helps to optimize the production process and reduce waiting time and resource waste. At the same time, it improves production flexibility, response speed and product consistency, bringing higher production efficiency and market competitiveness to the company.

[0023] Optionally, determining the curing method according to the type of the coating liquid and the substrate coating time includes: Determining the volatilization rate of the coating liquid and the irradiation time of the coating liquid according to the type of the coating liquid; Determining the light transmittance and hygroscopicity of the substrate according to the substrate information; Determining the water content on the surface of the substrate according to the volatilization rate of the coating liquid, the irradiation time of the coating liquid, the light transmittance of the substrate and the hygroscopicity of the substrate; The curing method is determined according to the moisture content of the substrate surface and the coating time of the substrate.

[0024] Through the above technical solution, by comprehensively considering the characteristics of the coating liquid and the properties of the substrate, the water content of the substrate surface during the coating process is accurately predicted and controlled, and then the optimal curing method is determined. Not only does it improve the scientificity and accuracy of the coating process, but it also ensures the consistency and stability of the curing effect. By accurately controlling the volatilization rate and irradiation time of the coating liquid, combined with the light transmittance and hygroscopicity of the substrate, the problem of poor curing caused by excessive or insufficient moisture on the substrate surface is effectively avoided. At the same time, the curing method can be flexibly selected according to the moisture content of the substrate surface and the coating time, further improving production efficiency and product quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0026] Figure 1 A schematic diagram of an application scenario provided for an embodiment of the present application; Figure 2 A flow chart of a high temperature resistant automotive HPE protective film and a preparation method thereof provided in one embodiment of the present application. DETAILED DESCRIPTION

[0027] In order to make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0028] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0029] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0030] Since the coating process of high-temperature resistant automotive HPE protective film is relatively complicated, the surface flatness of the film may not meet the coating standards. At this time, there will be a certain delay in the system or human adjustment of the coating preparation process. For example, the coating pressure parameters of the coating equipment are not adjusted in time, resulting in cracks or even scratches on the automotive film itself, so that the coating quality of the automotive HPE protective film cannot be guaranteed and economic losses are caused to the company's production.

[0031] Based on this, the present application provides a high temperature resistant automotive HPE protective film and a preparation method thereof, obtains coating liquid information, substrate information and coating equipment information, and determines coating uniformity according to the coating liquid information, the substrate information and the coating equipment information; obtains environmental information, and determines coating flatness according to the coating uniformity and the environmental information; obtains real-time production needs, and determines coating strategies according to the real-time production needs and the coating flatness; produces protective films according to the coating strategies to obtain protective film products, and precisely controls coating uniformity and flatness by comprehensively considering the characteristics of coating liquid, substrate, coating equipment and environmental factors to ensure consistency and stability of product quality. At the same time, the coating strategy is flexibly determined according to real-time production needs, which not only improves production efficiency, but also meets diverse market needs. This comprehensive production management method helps enterprises achieve efficient and high-quality production goals and enhance market competitiveness.

[0032] Figure 1 A schematic diagram of an application scenario provided in this application. When preparing a high-temperature resistant automotive HPE protective film, the method provided in this application is applied to generate a coating strategy by acquiring and analyzing information such as the coating liquid and the environment, and produce the automotive HPE protective film according to the coating strategy.

[0033] Specifically, the method provided in this application is applied to any server, and the server interacts with the production control center and the production monitoring equipment. The server generates a coating strategy by acquiring and analyzing the production monitoring information of the production monitoring equipment, and sends the coating strategy to the production control center. By acquiring and analyzing information such as the coating liquid and the environment, the coating strategy is determined, making the basis for determining the coating strategy more comprehensive and scientific, thereby more effectively ensuring the preparation quality of the automotive HPE protective film.

[0034] For specific implementation methods, please refer to the following embodiments.

[0035] Figure 2 This is a flow chart of a high temperature resistant automotive HPE protective film and a preparation method thereof provided in an embodiment of the present application. The method of this embodiment can be applied to the server in the above scenario. Figure 2 As shown, the method includes: S201, obtaining coating liquid information, substrate information and coating equipment information, and determining coating uniformity according to the coating liquid information, substrate information and coating equipment information.

[0036] The coating liquid information may be information about the coating liquid when the automotive HPE protective film is coated. The coating liquid information may include the coating liquid viscosity and the coating liquid density.

[0037] The substrate information may be information of the base material to be coated, and may include the thermal expansion coefficient of the substrate and the surface roughness of the substrate.

[0038] The coating equipment information may be information about equipment for coating, and may include coating speed and coating pressure.

[0039] Coating uniformity can be the consistency of the coating thickness distribution formed by the coating liquid on the surface of the substrate.

[0040] Specifically, since the coating uniformity of the high-temperature resistant automotive HPE protective film will be affected by many factors during the coating preparation process, it is necessary to comprehensively consider the influence of these factors on the coating uniformity to provide an accurate reference basis for the subsequent determination of the coating flatness.

[0041] Coating liquid information, substrate information and coating equipment information are extracted from the coating material and equipment purchase information. Coating liquid viscosity and coating liquid density are extracted from the coating liquid information, substrate thermal expansion coefficient and substrate surface roughness are extracted from the substrate information, and coating speed and coating pressure are extracted from the coating equipment information. Mathematical analysis methods are used to analyze coating liquid viscosity, coating liquid density, substrate thermal expansion coefficient, substrate surface roughness, coating speed and coating pressure to obtain coating uniformity.

[0042] S202, obtaining environmental information, and determining coating flatness according to coating uniformity and environmental information.

[0043] The environmental information may be information about the environment in which the automotive HPE protective film is applied, and may include ambient temperature, ambient humidity, and air flow rate.

[0044] Coating flatness can be the degree to which the coating surface is smooth and has no defects such as bumps, grooves, etc.

[0045] Specifically, since the influence of environmental factors and coating uniformity will affect the coating flatness to a certain extent during the coating process, it is necessary to consider the influence of coating uniformity and environmental information to more accurately determine the coating flatness.

[0046] The ambient temperature, ambient humidity and air flow rate are obtained from the environmental monitoring equipment, and the ambient temperature, ambient humidity, air flow rate and coating uniformity are analyzed using mathematical analysis methods to obtain the coating flatness.

[0047] S203 obtains real-time production demand and determines coating strategy according to the real-time production demand and coating flatness.

[0048] Real-time production demand can be the real-time requirement for product quantity or quality during the production process.

[0049] The coating strategy may be a specific implementation strategy for coating the high temperature resistant automotive HPE protective film.

[0050] Specifically, during the coating process of the automotive HPE protective film, the formulation of the coating strategy will be affected by the real-time production demand and the coating flatness, and the real-time production demand may bring adjustments to the specific coating plan. At the same time, in the above process of determining the coating flatness, the coating flatness is determined based on the initial parameters of the coating equipment. However, the coating flatness required by the real-time production demand is not completely consistent with the coating flatness determined in the above steps. Therefore, it may be necessary to further adjust the parameters of the coating equipment so that the coating flatness reflected by the parameters of the coating equipment after the adjustment can meet the real-time production needs. In summary, it is necessary to comprehensively consider the impact of real-time production demand and coating flatness to provide a more accurate reference basis for the formulation of coating strategies.

[0051] Real-time production demand is obtained from the production control center, and the production quantity, product quality requirements and product delivery time are extracted from the real-time production demand. The coating strategy is determined based on the production quantity, product quality requirements, product delivery time and coating flatness. For example, the production quantity of a batch of high-temperature resistant automotive HPE protective films is 5,000 sheets, and the product quality requirements are: the coating has no bubbles, no scratches, the surface is extremely smooth, the thickness is uniform, the product delivery time is 10 days, and the coating flatness is 0.05 microns. At this time, the coating strategy formulated is: use online optical monitoring equipment to detect the coating flatness in real time to avoid any minor defects; use high-precision coating machines and fine-control nozzles to ensure uniform liquid distribution; use a high-precision controlled thermal curing system to ensure that the coating is gradually dried and cured under uniform temperature conditions to avoid surface unevenness or insufficient internal curing caused by too fast drying; adopt a continuous production mode and work in shifts for 24 hours to ensure completion within the delivery period.

[0052] S204, producing a protective film according to a coating strategy to obtain a protective film product.

[0053] Specifically, since the production of protective films requires a certain sequence and steps, if there are no certain sequence and steps in the production of protective films, it will lead to chaos in the production of protective films and the quality of the protective films cannot be guaranteed. Therefore, it is necessary to produce protective films according to coating strategies to ensure the quality of the protective films.

[0054] According to the coating strategy obtained in the above steps, coating production is carried out to obtain a protective film product.

[0055] Through the method provided in this embodiment, by integrating multi-dimensional information such as coating liquid, substrate, equipment, environment and real-time production needs, accurate prediction and control of coating uniformity and flatness are achieved, and then a scientific and reasonable coating strategy is formulated, which not only improves the efficiency and stability of protective film production, but also ensures the consistency and reliability of product quality. By dynamically adjusting coating parameters to adapt to different production conditions and needs, the flexibility and adaptability of the production line are enhanced, which helps enterprises to quickly respond to market changes and improve their competitiveness.

[0056] In some embodiments, the viscosity of the coating liquid and the surface tension of the coating liquid are determined according to the coating liquid information; the surface roughness of the substrate and the surface energy of the substrate are determined according to the substrate information; the coating speed is determined according to the coating equipment information; the coating monitoring information is obtained, and the thickness fluctuation degree is determined according to the coating monitoring information; the historical coating liquid viscosity, historical surface tension, historical surface roughness, historical substrate surface energy, historical coating speed and historical thickness fluctuation degree are obtained, and the surface tension index, surface roughness index, viscosity index, coating speed index, surface energy adjustment coefficient and thickness adjustment coefficient are determined according to the historical coating liquid viscosity, historical surface tension, historical surface roughness, historical substrate surface energy, historical coating speed and historical thickness fluctuation degree; according to the coating liquid viscosity, surface tension index, surface roughness index, viscosity index, coating speed index, surface energy adjustment coefficient, thickness adjustment coefficient, surface tension, substrate surface energy, thickness fluctuation degree, surface roughness and coating speed, the preliminary coating uniformity is calculated according to formula (1), and the coating uniformity is determined according to the preliminary coating uniformity and the coating equipment information: (1); in, Indicates the initial coating uniformity, represents the surface tension, represents the surface tension index, Indicates the surface roughness, represents the surface roughness index, Indicates the viscosity of the coating liquid, represents the viscosity index, Indicates the coating speed, Indicates the coating speed index, represents the surface energy adjustment coefficient, represents the surface energy of the substrate, represents the thickness adjustment coefficient, Indicates the degree of thickness fluctuation.

[0057] Surface tension can be the tension effect caused by the mutual attraction between molecules on the surface of a liquid.

[0058] The surface energy of the substrate may be the energy required for the coating liquid to adhere to the surface of the substrate to form a unit area.

[0059] The coating monitoring information may be information obtained by monitoring the coating process.

[0060] The thickness fluctuation may be related to the thickness variation of the coating on the surface of the substrate.

[0061] The surface energy adjustment coefficient can be a parameter for optimizing the uniformity of the coating solution by changing the surface energy of the substrate by adjusting the coating process or material formulation.

[0062] Specifically, in the coating production process, coating uniformity is greatly affected by substrate factors and some characteristics of the coating liquid itself. If the impact of these factors on coating uniformity is not considered, coating uniformity may not be guaranteed, thereby affecting the quality of the entire coating.

[0063] Therefore, the surface tension of the coating liquid is extracted from the coating liquid information, and the surface energy of the substrate is extracted from the substrate information. The coating monitoring information is obtained from the production monitoring equipment, and the thickness fluctuation degree is extracted from the coating monitoring information. The historical coating liquid viscosity, historical surface tension, historical surface roughness, historical substrate surface energy, historical coating speed and historical thickness fluctuation degree are obtained from the production control center. The historical coating liquid viscosity, historical surface tension, historical surface roughness, historical substrate surface energy, historical coating speed and historical thickness fluctuation degree are analyzed using the linear regression method to determine the surface tension index, surface roughness index, viscosity index, coating speed index, surface energy adjustment coefficient and thickness adjustment coefficient. The coating liquid viscosity, surface tension index, surface roughness index, viscosity index, coating speed index, surface energy adjustment coefficient, thickness adjustment coefficient, surface tension, substrate surface energy, thickness fluctuation degree, surface roughness and coating speed are analyzed using the mathematical analysis method, and the preliminary coating uniformity is determined according to the calculation of formula (1). The preliminary coating uniformity and coating equipment information are analyzed using the mathematical analysis algorithm to determine the coating uniformity.

[0064] Among them, in the numerator of formula (1): surface tension affects the fluidity and surface spreadability of the liquid, while surface roughness affects the physical obstacles to material spreading. They jointly determine the uniformity of the coating. Because these two factors act on the spreading process of the coating liquid at the same time, the product form can comprehensively reflect their mutual influence, rather than simply adding or affecting each other independently. The product means that if one of the factors is not ideal (such as too little tension or too much roughness), even if the other factor performs well, the overall uniformity will still be negatively affected.

[0065] In the denominator of formula (1), viscosity affects the fluidity of the coating liquid, and speed affects the time and distribution of the coating liquid spreading on the surface. They both act on the spreading process of the material and affect the coating uniformity at the same time, so the product form is used to reflect their joint effect. If the viscosity is too high or the speed is too fast, the coating uniformity will be significantly reduced. The various factors in the denominator are independent physical influences, but they act together on the coating uniformity, and the direction and intensity of the influence may be different. Using the product form means that these factors enhance or weaken each other, and the extreme value of any factor will cause a significant change in uniformity. For example, even if the viscosity is low, if the coating speed is too fast, the uniformity will still drop significantly. Therefore, the product form is to reflect the combined influence of various unfavorable factors, and they depend on each other and jointly determine the final coating effect.

[0066] Through the method provided in this embodiment, by introducing a multi-parameter comprehensive evaluation model, the prediction and control accuracy of coating uniformity is significantly improved. Not only the physical properties of the coating liquid itself are taken into account, but also the influence of substrate characteristics and coating process parameters on uniformity is deeply analyzed. At the same time, by introducing historical data to calibrate and adjust key parameters, the formula is closer to the actual production situation. This refined control method can effectively reduce the unevenness in the coating process, improve the finished product quality and consistency of the protective film, and thus enhance the market competitiveness of the product.

[0067] In some embodiments, the vibration frequency and vibration amplitude of the coating equipment are determined according to the coating equipment information; the historical vibration frequency, historical vibration amplitude and historical coating uniformity are obtained, and the vibration amplitude index, vibration adjustment coefficient and vibration frequency index are determined according to the historical vibration amplitude, historical vibration frequency and historical coating uniformity; the coating uniformity is determined according to the preliminary coating uniformity, vibration frequency, vibration amplitude index, vibration frequency index, vibration adjustment coefficient and vibration amplitude, calculated according to formula (2): (2); in, Indicates coating uniformity, Indicates the initial coating uniformity, represents the vibration adjustment coefficient, represents the vibration frequency, represents the vibration frequency index, represents the vibration amplitude, Represents the vibration amplitude index.

[0068] Specifically, during the coating process, the characteristics of the coating equipment will also affect the coating uniformity to a certain extent. The factors of the coating equipment need to be taken into consideration to make the determination of the coating uniformity more accurate and reasonable.

[0069] The vibration frequency and vibration amplitude of the coating equipment are extracted from the coating equipment information. The historical vibration frequency, historical vibration amplitude and historical coating uniformity are obtained from the production control center. The historical vibration amplitude, historical vibration frequency and historical coating uniformity are analyzed using the linear regression method to obtain the vibration amplitude index, vibration adjustment coefficient and vibration frequency index. The preliminary coating uniformity, vibration frequency, vibration amplitude index, vibration frequency index, vibration adjustment coefficient and vibration amplitude are analyzed using mathematical analysis methods, and the coating uniformity is determined by calculation according to formula (2).

[0070] Among them, the denominator in formula (2): through ( ) reflects the negative impact of vibration on coating uniformity, among which is the adjustment coefficient, and Control the specific effects of frequency and amplitude on uniformity. During the coating process, the effects of various factors are not independent, but interact and add up. The multiplication expression can better express the combined effect of these factors on coating uniformity. Vibration of the coating equipment causes the liquid to be disturbed during the coating process, which reduces uniformity. The higher the vibration frequency and vibration amplitude, the greater the impact on coating uniformity. For example, if two factors (such as viscosity and coating speed) are increased, the impact on uniformity will be aggravated. In multiplication form, the formula can reflect the proportional impact of each factor on coating uniformity. For example, doubling the viscosity may reduce uniformity by half; similarly, the impact of a change in coating speed on uniformity can be quantified by its exponent.

[0071] Through the method provided in this embodiment, by comprehensively considering the physical properties of the coating liquid, the characteristics of the substrate, the coating speed and the vibration state of the equipment, the actual situation in the coating process is more comprehensively reflected, thereby more accurately predicting and controlling the coating uniformity. This refined control strategy helps to reduce the unevenness caused by equipment vibration, improve coating accuracy and product quality, and provide a strong guarantee for the production of high-quality protective films.

[0072] In some embodiments, the ambient temperature, ambient humidity, light intensity and air flow rate are determined based on the ambient information; the historical coating uniformity, historical light intensity and historical ambient humidity are obtained, and the uniformity weight, light intensity weight and ambient humidity weight are determined based on the historical coating uniformity, historical light intensity and historical ambient humidity; the coating flatness is determined based on the ambient temperature, uniformity weight, light intensity, light intensity weight, ambient humidity weight, ambient humidity, air flow rate and coating uniformity according to formula (3): (3); in, Indicates coating flatness, represents the uniformity weight, Indicates coating uniformity, Indicates the ambient temperature, represents the humidity weight, represents the weight of ambient humidity, Indicates the air velocity, represents the light intensity weight, Indicates light intensity.

[0073] Specifically, in the process of determining coating uniformity, the influence of environmental factors cannot be ignored. If the ambient temperature is too high, the coating liquid may solidify prematurely, causing the coating uniformity to deviate from the normal value.

[0074] Therefore, the light intensity is extracted from the environmental information. The historical coating uniformity, historical light intensity and historical environmental humidity corresponding to the historical coating uniformity are obtained from the production control center. The historical coating uniformity, historical light intensity and historical environmental humidity corresponding to the historical coating uniformity are analyzed using the linear regression analysis method to determine the uniformity weight, light intensity weight and environmental humidity weight. The ambient temperature, uniformity weight, light intensity, light intensity weight, environmental humidity weight, ambient humidity, air flow rate and coating uniformity are analyzed using a mathematical analysis algorithm. The coating flatness is determined by calculation according to formula (3).

[0075] In formula (3), coating uniformity and temperature are mutually constrained. Uniformity is the dominant factor that directly affects coating flatness, while temperature has an adverse effect on flatness to some extent. Their combined effect is expressed in the form of multiplication: the higher the coating uniformity, the higher the flatness; but if the temperature rises, the flatness will be suppressed. Therefore, Indicates their interactive relationship. Humidity and air flow rate act together on the drying process of the coating. When the humidity is high, if the air flow rate is low, the drying will be uneven, affecting the flatness. Therefore, the ratio of humidity to air flow rate (product relationship) shows that both act on the change in flatness at the same time. High humidity has a greater negative impact at low flow rates, so the two factors are multiplied. Increased light intensity will lead to accelerated drying, especially for localized uneven drying under high light, affecting the flatness of the coating. The product form shows that strong light will reduce the flatness of the coating, so It expresses the reverse effect of light intensity on flatness. The factors in the numerator are the dominant factors that positively affect the coating flatness, while the factors in the denominator (temperature, air flow rate, light intensity) are all negative factors, indicating that these factors will weaken the coating flatness.

[0076] Through the method provided by this embodiment, by introducing weight coefficients to quantify the effect of different factors on flatness, the influence of environmental fluctuations in the coating process on flatness can be more comprehensively reflected, thereby more accurately predicting and controlling the coating results, improving the prediction accuracy and control ability of coating flatness, helping to reduce product quality problems caused by environmental changes, and improving production efficiency and product consistency. At the same time, through the analysis of historical data and the optimization of weights, reliable technical support is provided for the production of high-quality protective films.

[0077] In some embodiments, the coating area is determined based on the coating monitoring information; the fluidity of the coating liquid in the coating area is determined based on the vibration frequency and the vibration amplitude; the coating area is divided to obtain a plurality of coating areas; the fluidity of the coating liquid in each coating area is determined based on the plurality of coating areas and the fluidity of the coating liquid; the coating thickness of each coating area is determined based on the coating flatness and the fluidity of the coating liquid; the coating flatness is determined based on the coating thickness, coating uniformity and environmental information of each coating area.

[0078] The coating fluidity can be the ability of the coating fluid to spread and flow on the surface of the substrate.

[0079] Specifically, in the process of determining the coating flatness, the coating area of ​​the automotive HPE protective film is large, and the fluidity and coating thickness of the coating liquid in each area will be slightly different, which will affect the determination of the coating flatness. Therefore, it is necessary to consider the fluidity and coating thickness of the coating liquid in each area to ensure the accuracy and rationality of the coating flatness.

[0080] Extract the coating image from the coating monitoring information, use the edge detection algorithm to analyze the coating image, and determine the coating area. Use the mathematical analysis algorithm to analyze the vibration frequency, vibration amplitude and air flow rate obtained in the above steps to determine the fluidity of the coating liquid in the coating area. Use the image segmentation algorithm to segment the coating image to obtain several coating area images. Based on the coating liquid fluidity obtained in the above steps, use the image analysis algorithm to analyze several coating area images to obtain the coating liquid fluidity of each coating area. Use the mathematical analysis algorithm to analyze the coating flatness and coating liquid fluidity to determine the coating liquid flow resistance, and determine the coating thickness of each area based on the coating liquid flow resistance and coating liquid viscosity. Use the mathematical analysis algorithm to analyze the coating thickness, coating uniformity, ambient humidity, air flow rate and ambient temperature of each coating area to determine the coating flatness.

[0081] Through the method provided in this embodiment, the control accuracy of coating flatness is significantly improved by refining the monitoring and analysis of the coating area. The coating area is determined according to the coating monitoring information, and the fluidity of the coating liquid is evaluated in combination with the vibration characteristics of the equipment, and then the coating area is finely divided. It makes the capture of local changes in the coating process more sensitive. The coating thickness of each area is adjusted according to the fluidity of the coating liquid to optimize the overall flatness. At the same time, the coating uniformity, environmental information and coating thickness are comprehensively considered, and the coating flatness is iteratively evaluated and adjusted, which not only improves the stability of the coating quality, but also enhances the flexibility and adaptability of the production process, providing a strong guarantee for the production of high-quality protective film products.

[0082] In some embodiments, the solvent volume, coating material volume and solid volume are determined according to the coating liquid information; the curing shrinkage is determined according to the solvent volume, ambient temperature and solid volume; the curing shrinkage is determined according to a number of coating areas and curing shrinkage; the coating area is determined according to the coating monitoring information; the historical curing time and the historical coating thickness of each area are obtained, and the curing time weight is determined according to the historical curing time and the historical coating thickness of each area; the coating process information is obtained, and the curing time and curing temperature are determined according to the coating process information; the coating thickness of each area is determined according to the curing time, coating area, coating material volume, curing time weight, curing temperature and curing shrinkage of each coating area, according to formula (4): (4); in, Indicates the coating thickness in each area, Indicates the volume of coating material, Indicates The area of ​​the coating area, Indicates The curing shrinkage of each coating area is Indicates the curing temperature, represents the curing time weight, Indicates the curing time.

[0083] The solid volume may be the volume of solids present in the coating liquid.

[0084] The curing shrinkage ratio may be the ratio of the volume or thickness reduction of the coating liquid during the curing process.

[0085] Specifically, after coating is completed, the characteristics of the curing process and the characteristics of the coating liquid itself will affect the determination of the coating thickness of each area to a certain extent. These characteristics need to be taken into consideration to make the determination of the coating thickness of each area more accurate and scientific.

[0086] The solvent volume, coating material volume and solid volume are extracted from the coating liquid information. The solvent volume, ambient temperature and solid volume are analyzed using mathematical analysis methods to determine the curing shrinkage rate. According to the images of several regions and the curing shrinkage rates obtained in the above steps, the curing shrinkage rate of each region is determined. The coating image obtained in the above steps is analyzed using an image analysis algorithm to determine the coating area. The historical curing time and the historical coating thickness of each region are obtained from the production control center. The historical curing time and the historical coating thickness of each region are analyzed using a linear regression analysis method to determine the curing time weight. The coating process information is obtained from the production control center, and the curing time and curing temperature are extracted from the coating process information. The curing time, coating area, coating material volume, curing time weight, curing temperature and the curing shrinkage rate of each coating region are analyzed using mathematical analysis methods. The coating thickness of each region is determined according to formula (4): In formula (4), the ratio of the coating material volume to the area is :This ratio indicates that The amount of material dispensed per unit area of ​​the coating area. The volume of the coating material The area of ​​the region The ratio of directly determines the initial thickness of the region. Increase, or area If the curing temperature is reduced, the amount of material per unit area will increase, resulting in an increase in coating thickness. During the curing process, the coating material will shrink to a certain extent, and this shrinkage directly affects the final thickness of the coating. Indicates The curing shrinkage of each area is factored ( ) indicates the ratio of actual thickness reduction.

[0087] The two terms in the numerator are multiplied because they affect two main aspects of coating thickness: the initial distribution of the material and the changes during the curing process. Only when both are considered together can the final coating thickness be accurately reflected. The coating thickness of an area depends not only on the amount of material, but also the thickness loss during the curing process, so the interaction between the two needs to be expressed in product form. The terms in the denominator are multiplied together to reflect the combined effect of these factors on the coating thickness. Their effects are not independent, but interdependent. For example, the length of curing time will interact with the temperature to determine the final curing effect of the material. A change in any one factor will result in a significant change in thickness, so the product form is needed to express their combined effects.

[0088] Through the method provided by this embodiment, by comprehensively considering multiple factors, the coating thickness of each area in the coating process is accurately calculated and controlled. Not only the uniformity and consistency of the coating thickness are improved, but also by introducing parameters such as curing time weight and curing shrinkage rate, the volume change that may occur in the coating material during the curing process is effectively dealt with, thereby ensuring the quality and performance of the final product. In addition, according to different coating process information and historical data, parameters such as curing time and temperature are dynamically adjusted to meet different production needs, which is of great significance to improving the overall quality and market competitiveness of protective film products.

[0089] In some embodiments, the substrate absorbency and the substrate thermal expansion coefficient are determined based on the substrate information; the degree of bubble influence is determined based on the coating speed, substrate absorbency and the substrate thermal expansion coefficient; the bubble volume and bubble position are determined based on the bubble influence and coating monitoring information; the coating scraping amplitude is determined based on the bubble volume and bubble position.

[0090] Substrate absorbency can be a property of how well a substrate absorbs a coating solution.

[0091] The thermal expansion coefficient of a substrate may be the ratio of the volume or size of the substrate to a change in temperature as the temperature increases or decreases.

[0092] Specifically, during the coating process, the possibility of bubbles on the automotive film is inevitable. At this time, it is necessary to consider some characteristics of the bubbles themselves and the characteristics of the substrate to determine the amplitude of the coating scraping.

[0093] The substrate absorbency and the substrate thermal expansion coefficient are extracted from the substrate information obtained in the above steps. The optimal coating speed is determined based on the coating equipment information obtained in the above steps, the actual coating speed is obtained from the production monitoring information, and the substrate absorbency coefficient is extracted from the substrate information. The temperature change value during the coating process is obtained from the temperature monitoring device. The optimal coating speed, the actual coating speed, the temperature change value during the coating process, the substrate absorbency coefficient and the substrate thermal expansion coefficient are analyzed using mathematical analysis methods, and the degree of bubble influence is determined by calculation according to formula (5): (5); in, Indicates the degree of influence of bubbles, Indicates the actual coating speed, Indicates the optimal coating speed, represents the substrate absorption coefficient, represents the thermal expansion coefficient of the substrate, Indicates the temperature change during the coating process.

[0094] In formula (5), when the actual coating speed deviates from the optimal speed, the possibility of bubble formation increases. Substrate absorption: The more absorbent the substrate is, the more likely it is to absorb bubbles, resulting in bubble residue. To reflect this effect. Thermal expansion coefficient of substrate: When the temperature changes greatly, the expansion or contraction of the substrate may cause bubbles to form or burst. To represent the effect of temperature change.

[0095] Based on the degree of bubble influence obtained in the above steps, the coating monitoring image obtained in the above steps is analyzed using an image analysis algorithm to determine the bubble volume and bubble position. According to the bubble volume and bubble position, the coating scraping amplitude is determined. For example, in the automotive film being coated, there is a bubble with a volume of 0.3 cubic millimeters, and this bubble is located in the middle of the coating layer thickness and at a fixed point in the width direction of the coating layer. The target thickness after coating is 100 microns. At this time, the scraping amplitude target is to eliminate or minimize the bubbles so that the coating thickness is uniform and not affected by bubbles. At this time, according to every 0.1 Adjusting the scraping amplitude can reduce the bubble volume by about 10%. To reduce the volume of bubbles, we need to reduce it by at least 50%, which means that The scraping amplitude.

[0096] Through the method provided in this embodiment, by deeply analyzing the relationship between substrate characteristics and coating process parameters, the bubble problem that may occur during the coating process is effectively predicted and controlled. By quantifying the degree of bubble influence and combining coating monitoring information, the volume and position of the bubble are accurately identified, thereby guiding the adjustment of the coating scraping amplitude. This targeted bubble control strategy not only improves the stability of the coating process and product quality, but also reduces the scrap rate and production cost waste caused by bubbles.

[0097] In some embodiments, the production type, production quantity and delivery time are determined based on real-time production demand; the production priority of the automotive film is determined based on the delivery time and production quantity; the coating flatness grade is determined based on the coating flatness; and the coating strategy is determined based on the coating flatness grade, production type and production priority.

[0098] The production type may be the type of high temperature resistant automotive HPE protective film that needs to be produced.

[0099] The production quantity may be the quantity of high temperature resistant automotive HPE protective films that need to be produced.

[0100] The delivery time may be the delivery time of the high temperature resistant automotive HPE protective film that needs to be produced.

[0101] The production priority may be related to the priority level of production of high temperature resistant automotive HPE protective film.

[0102] Specifically, the production type, production quantity and delivery time of the automotive film are extracted from the real-time production demand. According to the delivery time and production quantity, the production priority of the automotive film is determined, for example, order A: delivery time: 10 days later, production quantity: 2000 square meters; order B: delivery time: 5 days later, production quantity: 500 square meters; order C: delivery time: 15 days later, production quantity: 3000 square meters. Because order B has a short delivery time, production is arranged first to ensure that it is completed within 5 days and shipped on time. Since order C is a VIP customer, production is arranged as early as possible to ensure timely delivery. Although the delivery time of order A is also relatively urgent, it is reasonably arranged to produce within the production gap of the first two orders and completed before the delivery date. Therefore, the production priority is order B, order C, and order A. The coating flatness is graded to obtain the coating flatness level. For example, a flatness of 0.1-0.4 is classified as a low flatness level, and a flatness of 0.5-1.0 is classified as a high flatness level.

[0103] Determine the coating strategy based on the coating flatness level, production type and production priority. For example, coating flatness level: Order A requires high flatness (smooth surface, high coating accuracy required). Order B allows medium flatness (suitable for looser tolerances). Production type: Order A is precision coating (requires high coating accuracy, moderate speed, and biased towards quality). Order B is high-speed mass production (requires high efficiency and biased towards production quantity). Production priority: Order A is an urgent order for a VIP customer, with a delivery time of only 5 days and a quantity of 1,000 square meters. Order B is an ordinary customer order, with a delivery time of 15 days and a quantity of 5,000 square meters.

[0104] At this time, the coating strategy is: Order A (VIP customer, precision coating, high flatness requirement): Coating knife pressure: According to the high flatness requirement, the coating knife pressure needs to be adjusted to a higher level to ensure that the coating liquid is evenly spread and avoid any bubbles or uneven thickness. The pressure can be set to 90% of the maximum value of the equipment. Coating gap: The coating gap needs to be finely controlled and set to the minimum gap range allowed by the equipment, which can be 10-20 microns to ensure a smooth coating surface and uniform thickness. Coating speed: In order to ensure high precision, the coating speed should be lowered and kept in the medium speed range of the equipment to avoid excessive coating and quality degradation. Assuming the optimal speed is 100 meters per minute, 80-90 meters per minute can be selected to improve quality. Curing method: Use thermal curing or UV curing to ensure the hardness and surface flatness of the coating, and quickly enter the next step of processing after production.

[0105] Order B (ordinary customers, high-speed mass production, medium flatness requirements): Coating knife pressure: Since the coating accuracy requirements are not high, the pressure can be set to the medium level of the equipment, maintained at 60-70%, to ensure that no bubbles are generated and to speed up the coating efficiency. Coating gap: A larger coating gap can be set, such as 40-50 microns, to ensure uniform coverage of the coating liquid, while reducing frequent adjustments of the equipment and increasing production speed. Coating speed: In order to ensure production efficiency, the coating speed can be set to the maximum speed of the equipment, such as 150 meters per minute, to give priority to mass production and ensure delivery within the specified time. Curing method: Since the coating quality requirements are not high, a faster curing method can be selected, such as rapid thermal curing, to improve the operating efficiency of the production line.

[0106] Through the method provided in this embodiment, by comprehensively considering multiple factors such as real-time production demand, delivery time, production quantity, and coating flatness, the refined management and optimization of the automotive film production process is achieved. Flexible response to the needs of different production types and priorities ensures that key orders are delivered on time. At the same time, by evaluating the coating flatness level, a scientific basis is provided for formulating coating strategies, which helps to improve product quality and consistency, not only improving production efficiency and resource utilization, but also enhancing the company's market responsiveness and customer satisfaction.

[0107] In some embodiments, the coating pressure and coating gap are determined according to the coating flatness level and the production type; the substrate coating order and substrate coating time are determined according to the production priority; the coating liquid type is determined according to the coating liquid information; the curing method is determined according to the coating liquid type and the substrate coating time; the coating strategy is determined according to the coating pressure, coating gap and curing method.

[0108] The coating gap can be the distance between the coating knife or doctor blade in the coating equipment and the substrate surface.

[0109] The solidification method may be a method in which the coating liquid is converted from a liquid to a solid state through a physical or chemical process after coating.

[0110] Specifically, in the process of determining the coating strategy, the characteristics of the coating liquid and the different curing methods will affect the determination of the coating strategy to a certain extent, thereby affecting the quality of the automotive film preparation.

[0111] Therefore, the coating pressure and coating gap are determined according to the coating flatness level and production type. For example, the production type is precision coating, the coating flatness level is high, and the coating liquid is a high-viscosity resin material. At this time, because high flatness is required and the coating liquid has high viscosity, the pressure of the coating knife or scraper needs to be set to a higher level, and the coating pressure can be 80-90% of the maximum pressure of the equipment to ensure that the liquid is evenly spread. In order to ensure uniform thickness and reduce bubbles, the coating gap should be set to a smaller value. The coating gap can be set to 5-10 microns of the minimum gap of the coating equipment to ensure a thinner and more uniform coating. According to the production priority, the substrate coating order and substrate coating time are determined. The coating liquid type is extracted from the coating liquid information.

[0112] Determine the curing method according to the type of coating liquid and the coating time of the substrate. For example, the coating liquid type is UV curing resin, the substrate is a transparent plastic film, the temperature resistance is poor, and it cannot withstand high temperature heating curing, and the substrate coating time is 200 meters per minute. Since the coating liquid is a UV curing resin, its characteristic is that it undergoes a chemical reaction by absorbing the specific wavelength energy in the ultraviolet light, and quickly changes from liquid to solid. Therefore, it is suitable to choose the UV curing method, but the power and wavelength of the UV lamp need to be determined to ensure that the curing is completed within the specified time. The substrate is a transparent plastic film with poor high temperature resistance, so it is not suitable for high temperature curing. At the same time, the plastic has good light transmittance and can effectively conduct ultraviolet light, so that the coating liquid can be cured in a short time, which meets the process requirements of UV curing. In summary, the curing method is selected as UV curing.

[0113] The coating strategy is determined based on the coating pressure, coating gap and curing method. For example, the coating pressure is set to 80-90% of the maximum pressure of the equipment to ensure uniform spreading of the coating liquid. The coating gap is set to 55-60 microns to ensure a uniform 50-micron thick coating after coating. The coating speed is adjusted to 120-130 meters per minute to ensure uniformity of the coating under high-speed production conditions. The curing process uses a UV light source set to a wavelength of 365 nanometers, and is cured by multi-zone arranged UV lamps. The light intensity and time of each curing zone are controlled to ensure that the coating is completely cured within 5 seconds.

[0114] Through the method provided in this embodiment, by finely adjusting the key parameters in the coating process and selecting the appropriate curing method according to the coating type and substrate coating time, a high degree of customization and optimization of the coating strategy is achieved. Not only does it ensure that the coating flatness meets the standards, but it also takes into account the dual needs of production efficiency and product quality. At the same time, the flexible adjustment of the substrate coating order according to the production priority helps to optimize the production process and reduce waiting time and resource waste. At the same time, it improves production flexibility, response speed and product consistency, bringing higher production efficiency and market competitiveness to the enterprise.

[0115] In some embodiments, the volatilization rate of the coating liquid and the irradiation time of the coating liquid are determined according to the type of coating liquid; the light transmittance and hygroscopicity of the substrate are determined according to the substrate information; the water content on the surface of the substrate is determined according to the volatilization rate of the coating liquid, the irradiation time of the coating liquid, the light transmittance and hygroscopicity of the substrate; the curing method is determined according to the water content on the surface of the substrate and the coating time of the substrate.

[0116] Substrate hygroscopicity may be related to the property of a substrate to absorb moisture from the air.

[0117] Substrate light transmittance may be a property of a substrate that allows light to pass through it.

[0118] The volatilization rate of the coating liquid may be the volume of the coating liquid volatilized per unit time.

[0119] Specifically, the volatilization rates and irradiation times corresponding to all possible coating liquid types are collected, and the volatilization rates and irradiation times corresponding to all possible coating liquid types are integrated to obtain a preset coating liquid information set. The coating liquid type obtained in the above steps is matched with the preset coating liquid information set to obtain the coating liquid volatilization rate and coating liquid irradiation time that match the coating liquid type. The substrate transmittance and substrate hygroscopicity are extracted from the substrate information. Based on the substrate transmittance and substrate hygroscopicity obtained in the above steps, the historical substrate hygroscopicity and the substrate surface moisture content corresponding to the historical substrate transmittance are obtained from the production control center, and the historical substrate hygroscopicity and the substrate surface moisture content corresponding to the historical substrate transmittance are analyzed using a linear regression method to obtain the substrate transmittance coefficient and the substrate hygroscopicity coefficient.

[0120] The ambient humidity is obtained from the humidity monitoring equipment. The evaporation rate of the coating liquid, the irradiation time of the coating liquid, the light transmittance coefficient of the substrate, the ambient humidity and the hygroscopicity coefficient of the substrate are analyzed using mathematical analysis methods. The moisture content on the substrate surface is determined by calculation according to formula (6): (6); in, Indicates the moisture content on the surface of the substrate. Indicates the hygroscopicity coefficient of the substrate, Indicates the ambient humidity. Indicates the evaporation rate of the coating liquid, Indicates the transmittance coefficient of the substrate, represents the coating liquid irradiation time. Among them, the hygroscopicity coefficient Represents the water absorption capacity of the substrate itself. It is related to the ambient humidity The higher the ambient humidity, the easier it is for the substrate to absorb water. Indicates the evaporation rate of water in the coating liquid, which affects the moisture content on the substrate surface. A higher evaporation rate means less residual moisture on the substrate. and transmittance coefficient Together they affect the amount of water volatilized from the coating liquid on the substrate. The stronger the light transmittance, the faster the water evaporates, and the less water remains on the surface of the substrate.

[0121] The curing method is determined based on the moisture content of the substrate surface and the substrate coating time. For example, the current moisture content of the substrate surface is 5 grams per square meter, which means that curing needs to be completed as soon as possible after coating to prevent further moisture absorption and cause coating instability. The coating time is 30 seconds, which means that curing needs to be completed within this time to prevent the moisture in the coating liquid from penetrating into the interior of the substrate and affecting the coating quality. Therefore, the hot air drying curing method is selected.

[0122] Through the method provided in this embodiment, by comprehensively considering the coating liquid characteristics and substrate properties, the water content of the substrate surface during the coating process is accurately predicted and controlled, and then the optimal curing method is determined. Not only the scientificity and accuracy of the coating process are improved, but also the consistency and stability of the curing effect are ensured. By accurately regulating the volatilization rate and irradiation time of the coating liquid, combined with the light transmittance and hygroscopicity of the substrate, the problem of poor curing caused by too much or too little moisture on the substrate surface is effectively avoided. At the same time, the curing method is flexibly selected according to the water content and coating time of the substrate surface, further improving production efficiency and product quality.

Claims

1. A method for preparing a high temperature resistant automotive HPE protective film, characterized in that: include: Acquiring coating liquid information, substrate information and coating equipment information, and determining coating uniformity according to the coating liquid information, the substrate information and the coating equipment information; Acquiring environmental information, and determining coating flatness according to the coating uniformity and the environmental information; Obtaining real-time production demand, and determining a coating strategy according to the real-time production demand and the coating flatness; The protective film is produced according to the coating strategy to obtain a protective film product.

2. The method according to claim 1, characterized in that Determining coating uniformity according to the coating liquid information, the substrate information and the coating equipment information includes: Determining the coating liquid viscosity and the coating liquid surface tension according to the coating liquid information; Determining the surface roughness and surface energy of the substrate according to the substrate information; Determining a coating speed according to the coating equipment information; Acquiring coating monitoring information, and determining the thickness fluctuation degree according to the coating monitoring information; Obtaining historical coating liquid viscosity, historical surface tension, historical surface roughness, historical substrate surface energy, historical coating speed, and historical thickness fluctuation degree, and determining a surface tension index, a surface roughness index, a viscosity index, a coating speed index, a surface energy adjustment coefficient, and a thickness adjustment coefficient according to the historical coating liquid viscosity, historical surface tension, historical surface roughness, historical substrate surface energy, historical coating speed, and historical thickness fluctuation degree; According to the coating liquid viscosity, the surface tension index, the surface roughness index, the viscosity index, the coating speed index, the surface energy adjustment coefficient, the thickness adjustment coefficient, the surface tension, the substrate surface energy, the thickness fluctuation degree, the surface roughness and the coating speed, the preliminary coating uniformity is determined and calculated according to the following formula: ； in, Indicates the initial coating uniformity, represents the surface tension, represents the surface tension index, represents the surface roughness, represents the surface roughness index, represents the viscosity of the coating liquid, represents the viscosity index, represents the coating speed, represents the coating speed index, represents the surface energy adjustment coefficient, represents the surface energy of the substrate, represents the thickness adjustment coefficient, Indicates the degree of thickness fluctuation; The coating uniformity is determined according to the preliminary coating uniformity and the coating equipment information.

3. The method according to claim 2, characterized in that Determining the coating uniformity according to the preliminary coating uniformity and the coating equipment information includes: Determining the vibration frequency and the vibration amplitude of the coating device according to the coating device information; Obtaining historical vibration frequency, historical vibration amplitude and historical coating uniformity, and determining a vibration amplitude index, a vibration adjustment coefficient and a vibration frequency index according to the historical vibration amplitude, the historical vibration frequency and the historical coating uniformity; The coating uniformity is determined based on the preliminary coating uniformity, the vibration frequency, the vibration amplitude index, the vibration frequency index, the vibration adjustment coefficient and the vibration amplitude, and is calculated according to the following formula: ； in, Indicates the coating uniformity, Indicates the initial coating uniformity, represents the vibration adjustment coefficient, represents the vibration frequency, represents the vibration frequency index, represents the vibration amplitude, represents the vibration amplitude index.

4. The method according to claim 1, characterized in that The step of determining coating flatness according to the coating uniformity and the environmental information includes: Determine the ambient temperature, ambient humidity, light intensity and air flow rate according to the ambient information; Obtaining historical coating uniformity, historical light intensity and historical ambient humidity, and determining uniformity weight, light intensity weight and ambient humidity weight according to the historical coating uniformity, the historical light intensity and the historical ambient humidity; The coating flatness is determined according to the ambient temperature, the uniformity weight, the light intensity, the light intensity weight, the ambient humidity weight, the ambient humidity, the air flow rate and the coating uniformity, and is calculated according to the following formula: ； in, Indicates the coating flatness, represents the uniformity weight, Indicates the coating uniformity, represents the ambient temperature, represents the humidity weight, represents the environmental humidity weight, represents the air flow rate, represents the light intensity weight, Represents the light intensity.

5. The method according to claim 3, characterized in that: The step of determining coating flatness according to the coating uniformity and the environmental information includes: Determining a coating area according to the coating monitoring information; determining the fluidity of the coating liquid in the coating area according to the vibration frequency and the vibration amplitude; Dividing the coating area to obtain a plurality of coating areas; Determining the fluidity of the coating liquid in each coating area according to the plurality of coating areas and the fluidity of the coating liquid; Determining the coating thickness of each coating area according to the coating flatness and the fluidity of the coating liquid; The coating flatness is determined according to the coating thickness of each coating area, the coating uniformity and the environmental information.

6. The method according to claim 5, characterized in that The step of determining the coating flatness according to the coating thickness of each coating area, the coating uniformity and the environmental information includes: Determining the volume of solvent, the volume of coating material and the volume of solid according to the coating liquid information; Determining the curing shrinkage rate according to the solvent volume, the ambient temperature and the solid volume; Determining a curing shrinkage rate of each coating area according to the plurality of coating areas and the curing shrinkage rate; Determining a coating area according to the coating monitoring information; Obtaining historical curing time and historical coating thickness of each region, and determining a curing time weight according to the historical curing time and the historical coating thickness of each region; Acquire coating process information, and determine curing time and curing temperature according to the coating process information; According to the curing time, the coating area, the volume of the coating material, the curing time weight, the curing temperature and the curing shrinkage rate of each coating area, the coating thickness of each area is determined and calculated according to the following formula: ； in, represents the coating thickness of each area, represents the volume of the coating material, Indicates The area of ​​the coating area, Indicates The curing shrinkage of each coating area is represents the curing temperature, represents the curing time weight, Indicates the curing time.

7. The method according to claim 6, characterized in that After determining the coating thickness of each area according to the coating flatness and the fluidity of the coating liquid, the method further includes: Determining the substrate absorbency and the substrate thermal expansion coefficient according to the substrate information; Determining the degree of influence of bubbles according to the coating speed, the absorbency of the substrate and the thermal expansion coefficient of the substrate; Determine the volume and position of the bubbles according to the bubble impact degree and the coating monitoring information; The coating scraping amplitude is determined according to the bubble volume and the bubble position.

8. The method according to claim 1, characterized in that Determining the coating strategy according to the real-time production demand and the coating flatness includes: Determine the production type, production quantity and delivery time according to the real-time production demand; Determine the production priority of the automotive film according to the delivery time and the production quantity; Determining a coating flatness grade according to the coating flatness; A coating strategy is determined according to the coating flatness level, the production type and the production priority.

9. The method according to claim 8, characterized in that The determining of the coating strategy according to the coating flatness level, the production type and the production priority includes: Determining coating pressure and coating gap according to the coating flatness grade and the production type; Determining a substrate coating sequence and a substrate coating time according to the production priority; Determining the type of coating liquid according to the coating liquid information; Determining a curing method according to the type of the coating liquid and the coating time of the substrate; The coating strategy is determined according to the coating pressure, the coating gap and the curing method.

10. The method according to claim 9, characterized in that The method of determining the curing method according to the type of the coating liquid and the coating time of the substrate includes: Determining the volatilization rate of the coating liquid and the irradiation time of the coating liquid according to the type of the coating liquid; Determining the light transmittance and hygroscopicity of the substrate according to the substrate information; Determining the water content on the surface of the substrate according to the volatilization rate of the coating liquid, the irradiation time of the coating liquid, the light transmittance of the substrate and the hygroscopicity of the substrate; The curing method is determined according to the moisture content of the substrate surface and the coating time of the substrate.

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