Method and system for UV printing patterns on honeycomb panel surfaces

Abstract

The present invention discloses a method and system for UV printing patterns on the surface of honeycomb panels, which relates to the field of honeycomb panel UV printing technology, and includes the following steps: uniformly spraying ink on the surface of the honeycomb panel, and then preliminarily curing the ink with a set initial ultraviolet intensity through a UV light source; after the ink is preliminarily cured, data on the state of the ink is collected through sensors and image acquisition devices, and the collected data is preprocessed to ensure the accuracy and consistency of the data. The present invention monitors the ink state in real time through sensors and image acquisition devices, accurately predicts the fluidity of the ink, and uses fuzzy logic based on a support vector machine model to adjust the ultraviolet intensity and irradiation time, flexibly responds to the demand for ink curing, ensures that high-fluidity ink is uniformly and quickly cured, avoids over-curing or flow, prevents blurred patterns and unclear edges, and improves printing accuracy and consistency, thereby improving product quality.

Description

Technical Field

[0001] The invention relates to the technical field of UV printing of honeycomb panels, and in particular to a method and system for UV printing patterns on the surface of honeycomb panels. Background Art

[0002] The system for UV printing patterns on the surface of honeycomb panels is a system that uses ultraviolet (UV) light curing technology to print patterns. It is usually composed of a printer, a UV light source, a transmission device, and a control system. First, the surface of the honeycomb panel needs to be cleaned and pre-treated to ensure good surface adhesion. Then, the UV printer accurately sprays the ink onto the surface of the honeycomb panel through inkjet technology. The light curing agent in the ink will quickly cure under the irradiation of the UV light source to form a stable pattern. This process can achieve high-resolution and high-definition pattern printing, while having high wear resistance and UV resistance. The system is widely used in architectural decoration, furniture surfaces, advertising displays, and other industries that require precise pattern decoration. By precisely controlling the ink spraying, light exposure time, and curing degree, the printing quality can be ensured to be stable and adapt to the characteristics of the special material of the honeycomb panel.

[0003] The prior art has the following deficiencies:

[0004] When the ink is irradiated by a UV light source, the existing technology usually uses a fixed ultraviolet intensity for curing. However, for inks with higher fluidity, due to their lower viscosity, the curing speed is slower. If the ultraviolet intensity is insufficient, the ink will not be completely cured during the irradiation process, which may cause the ink to fail to be fixed on the surface of the substrate in time. At this time, the ink will diffuse or flow, causing the printed pattern to be blurred, the edges to be unclear, and the pattern to be distorted. This problem is particularly serious in printing scenarios with high precision and high quality requirements, such as electronic components, brand logos and other applications. Blurred or distorted patterns may cause the product to fail quality inspection, causing serious impact on product manufacturing.

[0005] The above information disclosed in this Background section is only for enhancement of understanding of the background of the present disclosure and therefore it may contain information that does not constitute the prior art that is already known to one of ordinary skill in the art. Summary of the invention

[0006] The purpose of the present invention is to provide a method and system for UV printing patterns on the surface of honeycomb panels, which monitors the ink state in real time by combining sensors and image acquisition equipment, accurately extracts features and analyzes them, and accurately predicts the fluidity of the ink. After identifying high-flow ink, based on the prediction results of the support vector machine model, fuzzy logic is used to adjust the ultraviolet intensity and irradiation time to flexibly respond to the curing requirements of different inks, ensure that high-flow inks are quickly and evenly cured, avoid over-curing or ink flow, effectively prevent problems such as blurred patterns and unclear edges caused by ink diffusion or flow, ensure the accuracy and consistency of printed patterns, and improve product quality to solve the problems in the above-mentioned background technology.

[0007] In order to achieve the above object, the present invention provides the following technical solution: a method for UV printing patterns on the surface of a honeycomb panel, comprising the following steps:

[0008] The ink is sprayed evenly on the surface of the honeycomb panel, and then the ink is initially cured by a UV light source with a set initial ultraviolet intensity;

[0009] After the ink is initially solidified, the state of the ink is collected through sensors and image acquisition equipment, and the collected data is pre-processed to ensure the accuracy and consistency of the data, providing reliable information for subsequent feature extraction;

[0010] Extract key features that reflect ink fluidity, analyze the extracted features, and input the analyzed features into a pre-trained support vector machine model to automatically identify the ink flow pattern;

[0011] Based on the prediction results of the support vector machine model, the ink state is divided into high-flow ink and conventional ink;

[0012] For conventional inks, continue to cure the ink sprayed on the surface of the honeycomb panel at the set initial ultraviolet intensity;

[0013] After identifying high-flow inks, fuzzy logic is used to adjust the actual ultraviolet intensity and irradiation time of the UV light source based on the fluidity results predicted by the support vector machine model to dynamically adapt to the actual needs of the ink.

[0014] Preferably, the initial ultraviolet intensity refers to the initial ultraviolet radiation intensity value set when the UV light source begins to irradiate the ink. In practical applications, the initial ultraviolet intensity should ensure that the ink can begin to chemically react to form a solidified layer, but will not cause over-curing or uneven curing of the ink due to excessive intensity.

[0015] Preferably, key features reflecting the fluidity of the ink are extracted, wherein the extracted features include the rate of change of the viscosity of the ink during the flow process and the diffusion rate of the ink molecules on the surface of the substrate. After analyzing the rate of change of the viscosity of the ink during the flow process and the diffusion rate of the ink molecules on the surface of the substrate, a viscosity attenuation reference value and a diffusion rate reference value are generated respectively. The rate at which the viscosity of the ink changes with time or external conditions during the flow process is quantified by the viscosity attenuation reference value, reflecting the degree of viscosity reduction during the flow process of the ink. The diffusion rate reference value quantifies the rate at which the ink molecules diffuse on the surface of the substrate, reflecting the ability of the ink to spread and flow on the surface of the substrate.

[0016] Preferably, the viscosity attenuation reference value and the diffusion rate reference value generated by analyzing the viscosity change rate of the ink during the flow process and the diffusion speed of the ink molecules on the substrate surface are input into a pre-trained support vector machine model to generate a fluidity coefficient. The fluidity of the ink on the surface of the honeycomb panel is predicted by the fluidity coefficient, and the flow pattern of the ink is automatically identified.

[0017] Preferably, the specific steps of generating a viscosity attenuation reference value after analyzing the viscosity change rate of the ink during the flow process are as follows:

[0018] First, during the ink flow process, the viscosity change of the ink is monitored in real time through sensors and image acquisition equipment, the details of the viscosity change over time are captured, and the collected raw data is converted into a viscosity curve over time;

[0019] By calculating the instantaneous rate of change of viscosity and establishing a relationship with external conditions, a viscosity attenuation reference value is generated, and the viscosity attenuation rate of the ink during the flow process is quantified to reflect the degree of viscosity change. The expression for generating the viscosity attenuation reference value is:

[0020]

[0021] ,in, represents the viscosity attenuation reference value at time t, Indicates the viscosity of the ink at time t, represents the rate of change of viscosity with time, represents the ambient temperature at time t, is the reference temperature, and is a constant that regulates the relationship between viscosity decay and external conditions. Represents an exponential function, reflecting the accelerating effect of temperature on the viscosity decay rate.

[0022] Preferably, the specific steps of generating a diffusion rate reference value after analyzing the diffusion rate of ink molecules on the surface of the substrate are as follows:

[0023] Use high-resolution image acquisition systems and sensor equipment to monitor the time evolution of ink diffusion on the substrate surface, accurately record the expansion distance of ink at different time points, obtain the two-dimensional expansion data of ink molecules on the substrate surface over time, and form a time-space Data pairs, time-space The expression of the data pair is:

[0024]

[0025] ,in, represents the expansion distance of ink molecules at time t, is the position of the ink molecule at time t, It is the position of the ink starting moment;

[0026] The change of ink molecule expansion rate is calculated based on time series data to describe the change of ink expansion distance on the substrate surface per unit time. Specifically, the instantaneous diffusion rate at each time point is calculated using a high-order numerical calculation method to reflect the flow state of the ink at each moment. As time changes, the calculation expression of the instantaneous diffusion rate is:

[0027]

[0028] ,in, is the instantaneous diffusion rate of ink at time t, is the time increment;

[0029] By weighted integration of the instantaneous diffusion rate at each time point, a time-dependent diffusion rate reference value is generated to quantify the flow and expansion capabilities of ink molecules over time during the entire diffusion process. In order to further enhance the dynamics of the diffusion rate reference value, a weighted function related to the surface characteristics of the substrate and the fluidity of the ink itself is introduced to more accurately reflect the flow behavior of the ink on the surface in actual applications. The generation expression of the diffusion rate reference value is:

[0030]

[0031] ,in, is the reference value of ink diffusion rate at time t, It's time The instantaneous diffusion rate at It is a weighted function related to the ink fluidity and substrate surface contact properties, reflecting the influence of the interaction between ink and surface.

[0032] Preferably, the fluidity coefficient generated when predicting the fluidity of the ink on the surface of the honeycomb panel by the pre-trained support vector machine model is compared and analyzed with a pre-set reference threshold value of the fluidity coefficient, and the state of the ink is divided. The specific division steps are as follows:

[0033] If the fluidity coefficient is greater than or equal to the fluidity coefficient reference threshold, the ink is classified as a high-flow ink;

[0034] If the fluidity coefficient is less than the fluidity coefficient reference threshold, the ink is classified as a conventional ink.

[0035] Preferably, after identifying the high-flow ink, fuzzy logic is used to adjust the actual ultraviolet intensity and irradiation time of the UV light source. The specific steps are as follows:

[0036] When the ink is determined to be a high-flow ink, a fuzzy rule is defined to convert the ink fluidity coefficient Map the relationship between UV intensity and exposure duration;

[0037] Based on fuzzy rules, the ultraviolet intensity adjustment factor and the irradiation time adjustment factor are calculated by fuzzy membership function. The calculation expression is:

[0038]

[0039] ,in, represents the fuzzy membership function, and It is the ultraviolet intensity adjustment factor and irradiation duration adjustment factor output by the fuzzy membership function, indicating the fuzziness of the mobility coefficient on ultraviolet intensity and irradiation duration. Indicates the current UV intensity. Indicates the current exposure time;

[0040] The fuzzy logic system is used to dynamically adjust the UV intensity and irradiation time. The fuzzy logic system calculates the adjusted UV light intensity and irradiation time based on the relationship between the fluidity coefficient and the reference threshold of the fluidity coefficient to ensure that the high-flow ink is properly cured. The calculation expression for the adjusted UV light intensity and irradiation time is:

[0041]

[0042] ,in, The intensity of ultraviolet rays is dynamically adjusted. is the irradiation time after dynamic adjustment, is the initial setting of UV intensity, The initial exposure time.

[0043] The system used for UV printing patterns on the surface of honeycomb panels includes a preliminary curing module, a data acquisition and preprocessing module, a feature extraction and analysis module, an ink fluidity classification module, a conventional ink curing module, and a high-fluidity ink curing adjustment module;

[0044] The preliminary curing module sprays the ink evenly on the surface of the honeycomb panel, and then uses a UV light source to preliminarily cure the ink with a set initial ultraviolet intensity;

[0045] The data acquisition and preprocessing module collects data on the ink status through sensors and image acquisition devices after the ink is initially solidified, and preprocesses the collected data to ensure the accuracy and consistency of the data, providing reliable information for subsequent feature extraction;

[0046] The feature extraction and analysis module extracts the key features reflecting the fluidity of the ink, analyzes the extracted features, and inputs the analyzed features into the pre-trained support vector machine model to automatically identify the flow pattern of the ink;

[0047] The ink fluidity classification module divides the ink state into high-flow ink and conventional ink based on the prediction results of the support vector machine model;

[0048] Conventional ink curing module, for conventional ink, continues to cure the ink sprayed on the surface of the honeycomb panel with the set initial ultraviolet intensity;

[0049] The high-flow ink curing adjustment module, after identifying the high-flow ink, uses fuzzy logic to adjust the actual ultraviolet intensity and irradiation time of the UV light source according to the fluidity results predicted by the support vector machine model, and dynamically adapts to the actual needs of the ink.

[0050] In the above technical solution, the technical effects and advantages provided by the present invention are:

[0051] The present invention realizes accurate prediction of ink fluidity by combining sensors and image acquisition equipment to monitor the ink state in real time after the ink is initially solidified, and performs accurate feature extraction and analysis. After identifying high-fluidity ink, based on the fluidity prediction of the support vector machine model, fuzzy logic is used to adjust the ultraviolet intensity and irradiation time, and the curing requirements of different inks are flexibly responded to, ensuring that the high-fluidity ink can be cured quickly and evenly without over-curing or ink flow due to long-term irradiation. Through this dynamically adaptive curing strategy, it is possible to effectively prevent quality problems such as blurred patterns and unclear edges caused by ink diffusion or flow, ensure the accuracy and consistency of printed patterns, and improve the quality of the final product. In particular, in applications with high precision and high quality requirements such as electronic components and brand logos, it is possible to ensure that the ink pattern is clear and accurate and meets strict quality inspection standards. In actual use, the efficiency and stability of the UV printing process are significantly improved, the ink curing process is optimized, and an effective solution is provided for precision printing technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments 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 also be obtained based on these drawings.

[0053] Figure 1 The present invention is a flow chart of the method for UV printing patterns on the surface of honeycomb panels.

[0054] Figure 2 It is a schematic diagram of the system module of the present invention applied to UV printing patterns on the surface of honeycomb panels. DETAILED DESCRIPTION

[0055] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as limited to the examples set forth herein; rather, these example embodiments are provided so that the description of the present disclosure will be more comprehensive and complete, and the concept of the example embodiments will be fully conveyed to those skilled in the art.

[0056] The present invention provides Figure 1 The method for UV printing patterns on the surface of honeycomb panels shown includes the following steps:

[0057] The ink is sprayed evenly on the surface of the honeycomb panel, and then the ink is initially cured by a UV light source with a set initial ultraviolet intensity;

[0058] Initial UV intensity refers to the initial UV radiation intensity value set when the UV light source begins to irradiate the ink. It is the starting parameter of the curing process and is usually set by the equipment or predetermined according to the type, thickness, fluidity and other characteristics of the ink. The size of the initial UV intensity directly affects the initial speed and effect of ink curing. In practical applications, the initial UV intensity should ensure that the ink can begin to react chemically and form a cured layer, but will not cause over-curing or uneven curing of the ink due to excessive intensity. This intensity is usually a fixed value, which is used to ensure that the ink reaches a stable curing starting point during the initial curing process, avoid ink diffusion or flow, and lay the foundation for subsequent curing treatment.

[0059] The main function of this step is to ensure that the ink begins to solidify as soon as possible after spraying, prevent the ink from excessive diffusion or flow, and maintain the initial shape of the printed pattern. The ink can quickly form a stable surface film during the initial solidification, thereby reducing unnecessary flow of the ink in subsequent steps and providing a stable foundation for subsequent feature acquisition and prediction.

[0060] After the ink is initially solidified, the state of the ink is collected through sensors and image acquisition equipment, and the collected data is pre-processed to ensure the accuracy and consistency of the data, providing reliable information for subsequent feature extraction;

[0061] These data may include physical properties of the ink such as thickness, viscosity, surface smoothness, etc. During the data collection process, factors such as ambient temperature and humidity may also be considered to ensure that the collected data is comprehensive and representative.

[0062] After the ink is initially solidified, the data collection process needs to ensure the accuracy and consistency of the data, which requires preprocessing of the collected data. The main steps of preprocessing include data cleaning, denoising, standardization, missing value filling and other operations. Data cleaning is to remove erroneous data and outliers that may appear in the collection process, such as abnormal data points caused by sensor failure or external interference; denoising is to eliminate random noise in sensor signals to ensure that real data can be effectively extracted; missing value filling is to fill in the missing data in the collection process through interpolation or other methods to avoid the impact of missing data on the analysis results. Through these preprocessing steps, the basic data for subsequent feature extraction and analysis can be ensured to be more accurate and consistent, thereby improving the accuracy and reliability of support vector machine model predictions.

[0063] Extract key features that reflect ink fluidity, analyze the extracted features, and input the analyzed features into a pre-trained support vector machine model to automatically identify the ink flow pattern;

[0064] The key features reflecting the fluidity of the ink are extracted, wherein the extracted features include the viscosity change rate of the ink during the flow process and the diffusion speed of the ink molecules on the substrate surface. After analyzing the viscosity change rate of the ink during the flow process and the diffusion speed of the ink molecules on the substrate surface, a viscosity attenuation reference value and a diffusion rate reference value are generated respectively. The viscosity attenuation reference value is used to quantify the rate at which the viscosity of the ink changes with time or external conditions during the flow process, reflecting the degree of viscosity reduction during the flow process. The diffusion rate reference value is used to quantify the diffusion rate of the ink molecules on the substrate surface, reflecting the ability of the ink to spread and flow on the substrate surface.

[0065] When the viscosity of the ink changes rapidly during the flow process, it usually indicates that the ink has a higher fluidity. Viscosity is an important indicator of liquid fluidity. The lower the viscosity of the ink, the better its fluidity is generally. A faster rate of change in viscosity means that the viscosity of the ink decreases rapidly during the flow process, which usually occurs in low-viscosity inks, indicating that the ink can quickly adapt to the effects of external forces during the flow process and exhibits higher fluidity. In addition, the rate of viscosity change can also reflect the curing characteristics of the ink. Inks with a faster rate of viscosity change generally require a faster curing process to prevent them from flowing or spreading on the surface of the substrate. Therefore, inks with a fast rate of viscosity change generally have higher fluidity and are suitable for rapid coating and high-precision printing.

[0066] The specific steps for generating a viscosity attenuation reference value after analyzing the viscosity change rate of the ink during the flow process are as follows:

[0067] First, during the ink flow process, the viscosity change of the ink is monitored in real time through sensors and image acquisition equipment. This process requires ensuring the frequency and accuracy of data acquisition to capture the details of the viscosity change over time. In the data preprocessing stage, denoising is performed to remove external interference and sensor errors, and the collected raw data is converted into a viscosity curve over time;

[0068] As a core indicator of ink fluidity, viscosity can be measured by a dedicated viscosity sensor (such as a rotational viscometer) or a rheometer. In this process, the data obtained will show the dynamic change trend of viscosity over time, ensuring the accuracy and reliability of subsequent analysis.

[0069] By calculating the instantaneous rate of change of viscosity and establishing a relationship with external conditions (such as temperature, humidity, pressure, etc.), a viscosity attenuation reference value is generated to quantify the viscosity attenuation rate of the ink during the flow process, reflecting the degree of change of viscosity within a specific time period. The expression for generating the viscosity attenuation reference value is:

[0070]

[0071] ,in, represents the viscosity attenuation reference value at time t, Indicates the viscosity of the ink at time t, represents the rate of change of viscosity with time, represents the ambient temperature at time t, is the reference temperature, and is a constant that regulates the relationship between viscosity decay and external conditions. represents an exponential function, reflecting the accelerating effect of temperature on the viscosity decay rate;

[0072] The reference temperature is a reference temperature value used for standardization and comparison. It is used to uniformly evaluate the impact of temperature changes on a physical phenomenon (such as viscosity decay) during calculation and analysis. Usually, the reference temperature is set to a conventional temperature value in a laboratory environment (such as 25°C), or a temperature value set according to the specific requirements of the ink curing process. By incorporating the ratio of the actual temperature to the reference temperature into the formula, the effect of temperature on the ink viscosity decay rate can be effectively quantified to ensure consistent evaluation of ink fluidity under different temperature conditions. The role of the reference temperature is to provide a unified starting point so that data under different environmental conditions can be effectively compared and analyzed, thereby more accurately predicting changes in ink fluidity;

[0073] The role of this step is to capture the dynamics of ink viscosity changes during flow through a combination of rate of change and environmental factors, generating results that are closely related to ink fluidity.

[0074] It can be seen from the viscosity decay reference value that the larger the performance value of the viscosity decay reference value generated after analyzing the viscosity change rate of the ink during the flow process, the higher the fluidity of the ink, and vice versa. This is because the viscosity decay reference value quantifies the viscosity change rate of the ink during the flow process through an exponential decay model. If the value of the viscosity decay reference value is large, it means that the viscosity of the ink drops rapidly in a short period of time, indicating that the ink has strong fluidity, can flow faster and adapt to various printing conditions. On the contrary, if the viscosity decay reference value is small, it means that the viscosity of the ink changes slowly and the fluidity is poor. The ink is more likely to maintain a high viscosity during the flow process, thereby limiting its fluidity. Therefore, the viscosity decay reference value provides an effective way to evaluate the trend of ink fluidity over time. The larger the viscosity decay reference value, the stronger the fluidity, which is suitable for application scenarios that require rapid curing.

[0075] When the ink molecules diffuse faster on the substrate surface, it usually indicates that the ink has higher fluidity. The fluidity of the ink is closely related to how its molecules spread and diffuse on the substrate surface. When the ink molecules can diffuse quickly and evenly cover the substrate surface, it means that the ink has lower viscosity and higher fluidity during the coating process and can be evenly distributed in a short time. Therefore, the diffusion rate of the ink molecules on the substrate surface can be used as an important indicator to measure the fluidity of the ink. A faster diffusion rate is usually a manifestation of high fluidity ink.

[0076] The specific steps for generating a diffusion rate reference value after analyzing the diffusion rate of ink molecules on the substrate surface are as follows:

[0077] A high-resolution image acquisition system and sensor equipment are used to monitor the time evolution of the ink diffusion process on the substrate surface, accurately record the expansion distance of the ink at different time points, and obtain the two-dimensional expansion data of the ink molecules on the substrate surface over time. These data provide preliminary information on the flow of ink molecules on the substrate surface, forming a time-space Data pair, time series data provides the necessary basis for subsequent diffusion rate calculation, time-space The expression of the data pair is:

[0078]

[0079] ,in, represents the expansion distance of ink molecules at time t, is the position of the ink molecule at time t, It is the position of the ink starting moment;

[0080] The change in the expansion rate of ink molecules is calculated based on time series data. This rate describes the change in the distance that the ink expands on the surface of the substrate per unit time. A high-order numerical calculation method (such as the difference method or fitting algorithm) is used to calculate the instantaneous diffusion rate at each time point. These instantaneous rates reflect the flow state of the ink at each moment. As time changes, the instantaneous diffusion rate is used to determine whether the ink has a rapid flow or expansion behavior. The calculation expression of the instantaneous diffusion rate is:

[0081]

[0082] ,in, is the instantaneous diffusion rate of ink at time t, is the time increment;

[0083] By weighted integration of the instantaneous diffusion rate at each time point, a time-dependent diffusion rate reference value is generated to quantify the flow and expansion capabilities of ink molecules over time during the entire diffusion process. In order to further enhance the dynamics of the diffusion rate reference value, a weighted function related to the surface characteristics of the substrate and the fluidity of the ink itself is introduced to more accurately reflect the flow behavior of the ink on the surface in actual applications. The expression for generating the diffusion rate reference value is:

[0084]

[0085] ,in, is the reference value of ink diffusion rate at time t (current time), It's time The instantaneous diffusion rate at It is a weighted function related to the ink fluidity and substrate surface contact properties, reflecting the influence of the interaction between ink and surface;

[0086] The weighting function related to ink fluidity and substrate surface contact properties is a mathematical tool used to adjust the weight of the influence on the diffusion rate according to the ink flow characteristics and substrate surface characteristics (such as surface tension, roughness, etc.). These characteristics will affect the spreading speed and uniformity of ink molecules on the substrate surface, so the role of the weighting function is to more accurately reflect the flow behavior of the ink by assigning different weights to different surface characteristics. The process of obtaining the weighting function usually includes: obtaining the influence of different ink and substrate surface characteristics (such as contact angle, surface tension, etc.) on the ink diffusion rate through experimental data; combined with actual measurement data, using regression analysis or machine learning methods to fit a function that can accurately represent these influencing factors. This weighting function usually has a certain nonlinear form, and parameters can be optimized through physical experiments or numerical simulations.

[0087] This integral form not only takes into account the cumulative effect of ink flow rate, but also adjusts the sensitivity of the index according to the actual environment (such as surface friction, humidity, etc.).

[0088] It can be seen from the diffusion rate reference value that the larger the diffusion rate reference value generated after analyzing the diffusion speed of ink molecules on the substrate surface, the faster the ink molecules diffuse on the substrate surface, that is, the higher the fluidity of the ink. This is because the diffusion rate reference value is obtained by analyzing the diffusion process of the ink on the substrate surface. The increase in the index means that the ink molecules are easier to spread and flow on the substrate surface, resulting in a more uniform coating of the ink. On the contrary, when the diffusion rate reference value is low, it means that the ink molecules diffuse slowly and have poor fluidity. Therefore, the diffusion rate reference value is an important indicator reflecting the fluidity of the ink.

[0089] The viscosity attenuation reference value and diffusion rate reference value generated by analyzing the viscosity change rate of the ink during the flow process and the diffusion speed of the ink molecules on the substrate surface are input into the pre-trained support vector machine model to generate the fluidity coefficient. The fluidity of the ink on the surface of the honeycomb panel is predicted by the fluidity coefficient, and the flow pattern of the ink is automatically identified.

[0090] A pre-trained Support Vector Machine (SVM) model is a key machine learning tool for accurate prediction and classification of ink fluidity. Support vector machines are a type of supervised learning model that is widely used in classification and regression analysis. They are particularly good at handling high-dimensional data sets and can still perform well when the number of samples is small. A pre-trained SVM model means that the model has been trained and optimized on a large amount of historical data to learn the complex relationship between ink fluidity and its characteristics. In specific applications, this model uses previously collected ink fluidity-related data, including viscosity decay reference values ​​and diffusion rate reference values, and algorithmically learns how to associate these features with the actual fluidity state of the ink (high flow or normal). During the training process, the model maximizes the interval between categories by finding the best hyperplane, thereby improving the accuracy and generalization of classification. Model training involves adjusting the kernel function of the SVM (such as linear kernel, polynomial kernel, radial basis function kernel, etc.), regularization parameters, and other hyperparameters to ensure that it can effectively identify and distinguish inks of different fluidity types when processing ink data in real applications.

[0091] The advantage of the pre-trained SVM model in practical applications is that it can quickly and accurately classify and predict the newly collected ink features, greatly improving the intelligence and automation level of the entire curing process. Specifically, when the ink is initially cured, the system will obtain the viscosity change rate and diffusion speed data of the ink through sensors and image acquisition devices, and generate corresponding viscosity attenuation reference values ​​and diffusion rate reference values. After preprocessing and extraction, these features are passed to the pre-trained SVM model as input. Based on the patterns and decision boundaries learned in the training phase, the model calculates a fluidity coefficient, which quantifies the fluidity level of the ink. Due to the strong robustness and efficient computing performance of the SVM model, it can respond quickly in a real-time production environment to ensure the stability and consistency of the ink curing process. In addition, the interpretability of the SVM model also enables operators to understand the decision-making process of the model, further optimize production parameters and improve printing quality. The pre-trained SVM model not only improves the accuracy of ink fluidity prediction, but also reduces production costs by reducing manual intervention and improving production efficiency, thereby improving the overall quality and market competitiveness of the product.

[0092] The support vector machine model is not specifically limited here, and can realize the viscosity decay reference value at time t and the ink diffusion rate reference value at time t Perform comprehensive analysis to generate the liquidity coefficient at time t The support vector machine model can be used. In order to realize the technical solution of the present invention, the present invention provides a specific implementation method; the fluidity coefficient of the ink on the surface of the honeycomb panel at time t The generated expression is:

[0093]

[0094] , where , are the viscosity attenuation reference values ​​at time t and the ink diffusion rate reference value at time t The preset scaling factor of , Both are greater than 0.

[0095] It can be seen from the fluidity coefficient that the greater the performance value of the viscosity attenuation reference value (viscosity attenuation reference value at time t) generated after analyzing the viscosity change rate of the ink during the flow process, the greater the performance value of the diffusion rate reference value (ink diffusion rate reference value at time t) generated after analyzing the diffusion speed of the ink molecules on the substrate surface, that is, the greater the performance value of the fluidity coefficient (fluidity coefficient at time t) generated when predicting the fluidity of the ink on the surface of the honeycomb panel by the pre-trained support vector machine model, the higher the fluidity of the ink, and vice versa.

[0096] Based on the prediction results of the support vector machine model, the ink state is divided into high-flow ink and conventional ink;

[0097] The fluidity coefficient generated when predicting the fluidity of the ink on the surface of the honeycomb panel by the pre-trained support vector machine model is compared and analyzed with the pre-set reference threshold of the fluidity coefficient, and the state of the ink is divided. The specific division steps are as follows:

[0098] If the fluidity coefficient is greater than or equal to the fluidity coefficient reference threshold, the ink is classified as a high-flow ink;

[0099] High-flow inks are those with low viscosity and high fluidity. During the coating or printing process, these inks are easy to spread or flow on the surface of the substrate due to their high fluidity. This type of ink needs to be processed more quickly during the curing process, especially when cured by ultraviolet light. If it is not cured in time, the ink may cause problems such as blurred patterns, unclear edges, and distortion due to excessive fluidity.

[0100] If the fluidity coefficient is less than the fluidity coefficient reference threshold, the ink is classified as a conventional ink;

[0101] Conventional inks are inks with higher viscosity and relatively lower fluidity. This type of ink is not prone to excessive flow or expansion during coating or printing. It has weaker fluidity and can usually be well maintained in the printing area, and is not prone to pattern blur or distortion.

[0102] The core function of this step is to classify the fluidity of ink into high-flow ink and conventional ink, and adopt targeted curing strategies based on the flow characteristics of different inks. By comparing the fluidity coefficient predicted by the support vector machine model with the set reference threshold, the fluidity level of the ink can be accurately identified, so that more precise adjustments can be made during the curing process.

[0103] For conventional inks, continue to cure the ink sprayed on the surface of the honeycomb panel at the set initial ultraviolet intensity;

[0104] The main purpose of continuing to cure conventional inks at the set initial UV intensity is to ensure that the ink achieves the expected curing effect during the curing process while avoiding over-curing. Since conventional inks have low fluidity and relatively slow curing speed, excessively high UV intensity is not required. The set initial UV intensity can meet the curing requirements of the ink, ensuring that the ink is fully cured within the specified time and keeping the pattern clear and firm. Through this step, the curing process can be effectively controlled to avoid over-curing caused by excessively long or strong UV exposure time, ensuring that the ink is evenly and stably fixed on the surface of the substrate, thereby improving printing quality and stability.

[0105] After identifying the high-flow ink, fuzzy logic is used to adjust the actual ultraviolet intensity and irradiation time of the UV light source according to the fluidity results predicted by the support vector machine model to dynamically adapt to the actual needs of the ink;

[0106] After identifying the high-flow ink, fuzzy logic is used to adjust the actual UV intensity and exposure time of the UV light source. The specific steps are as follows:

[0107] When the ink is determined to be a high-flow ink, a fuzzy rule is defined to convert the ink fluidity coefficient Map the relationship between UV intensity and exposure duration;

[0108] For example, if the ink has high fluidity, the system may increase the UV intensity and extend the exposure time to ensure that the ink cures quickly; when the fluidity is low, the system will reduce the UV intensity and shorten the exposure time to avoid over-curing. Fuzzy rule examples:

[0109] If the ink fluidity coefficient If it is very high, the dynamically adjusted UV intensity is very strong and the dynamically adjusted exposure time is very long;

[0110] If the ink fluidity coefficient Moderate means that the dynamically adjusted UV intensity is medium and the dynamically adjusted exposure time is medium;

[0111] If the ink fluidity coefficient If it is very low, the dynamically adjusted ultraviolet intensity is very weak and the dynamically adjusted irradiation time is very short.

[0112] Based on fuzzy rules, the ultraviolet intensity adjustment factor and the irradiation time adjustment factor are calculated by fuzzy membership function. The calculation expression is:

[0113]

[0114] ,in, represents the fuzzy membership function, and It is the ultraviolet intensity adjustment factor and irradiation duration adjustment factor output by the fuzzy membership function, indicating the fuzziness of the mobility coefficient on ultraviolet intensity and irradiation duration. Indicates the current UV intensity. Indicates the current exposure time;

[0115] According to fuzzy rules, these membership functions will determine the appropriate UV intensity adjustment factor and irradiation duration adjustment factor.

[0116] The fuzzy logic system is used to dynamically adjust the UV intensity and irradiation time. The fuzzy logic system calculates the adjusted UV light intensity and irradiation time based on the relationship between the fluidity coefficient and the reference threshold of the fluidity coefficient to ensure that the high-flow ink is properly cured. The calculation expression for the adjusted UV light intensity and irradiation time is:

[0117]

[0118] ,in, The intensity of ultraviolet rays is dynamically adjusted. is the irradiation time after dynamic adjustment, is the initial setting of UV intensity, The initial exposure time.

[0119] After identifying high-flow inks, fuzzy logic is used to adjust the actual UV intensity and exposure time of the UV light source according to the fluidity results predicted by the support vector machine model, aiming to accurately control the curing process of the ink. Specifically, adjusting the UV intensity can ensure that high-flow inks are quickly cured in a shorter period of time, avoiding the problem that the ink fails to solidify quickly due to high fluidity, resulting in uneven or unstable curing effects; while adjusting the exposure time can prevent the ink from being over-cured after too long an exposure time, avoiding problems such as cracking and discoloration on the ink surface. In this way, the fuzzy logic system can dynamically adapt to the curing needs of the ink according to its fluidity state, thereby optimizing the entire curing process and ensuring the uniformity, integrity and quality of the ink curing.

[0120] Through the above scheme, the curing accuracy and quality of the ink on the surface of the honeycomb board can be significantly improved, and the problem of incomplete curing of high-fluidity ink in the prior art is solved. After the ink is initially cured, the method combines sensors and image acquisition equipment to monitor the ink state in real time, and performs accurate feature extraction and analysis, so as to achieve accurate prediction of ink fluidity. In particular, after identifying the high-fluidity ink, based on the fluidity prediction of the support vector machine model, fuzzy logic is used to adjust the ultraviolet intensity and irradiation time, and flexibly respond to the curing requirements of different inks, ensuring that the high-fluidity ink can be cured quickly and evenly without excessive curing or ink flow due to long-term irradiation. Through this dynamically adaptive curing strategy, it is possible to effectively prevent quality problems such as blurred patterns and unclear edges caused by ink diffusion or flow, ensure the accuracy and consistency of printed patterns, and improve the quality of the final product, especially in applications with high precision and high quality requirements such as electronic components and brand logos, which can ensure that the ink pattern is clear and accurate and meets strict quality inspection standards. The implementation of this scheme significantly improves the efficiency and stability of the UV printing process, optimizes the ink curing process, and provides an effective solution for precision printing technology.

[0121] The present invention provides Figure 2 The system shown for UV printing patterns on the surface of honeycomb panels includes a preliminary curing module, a data acquisition and preprocessing module, a feature extraction and analysis module, an ink fluidity classification module, a conventional ink curing module, and a high-fluidity ink curing adjustment module;

[0122] The preliminary curing module sprays the ink evenly on the surface of the honeycomb panel, and then uses a UV light source to preliminarily cure the ink with a set initial ultraviolet intensity;

[0123] The data acquisition and preprocessing module collects data on the ink status through sensors and image acquisition devices after the ink is initially solidified, and preprocesses the collected data to ensure the accuracy and consistency of the data, providing reliable information for subsequent feature extraction;

[0124] The feature extraction and analysis module extracts the key features reflecting the fluidity of the ink, analyzes the extracted features, and inputs the analyzed features into the pre-trained support vector machine model to automatically identify the flow pattern of the ink;

[0125] The ink fluidity classification module divides the ink state into high-flow ink and conventional ink based on the prediction results of the support vector machine model;

[0126] Conventional ink curing module, for conventional ink, continues to cure the ink sprayed on the surface of the honeycomb panel with the set initial ultraviolet intensity;

[0127] The high-flow ink curing adjustment module, after identifying the high-flow ink, uses fuzzy logic to adjust the actual ultraviolet intensity and irradiation time of the UV light source according to the fluidity results predicted by the support vector machine model, dynamically adapting to the actual needs of the ink;

[0128] The UV pattern printing method applied to the surface of a honeycomb panel provided in an embodiment of the present invention is realized by the above-mentioned UV pattern printing system applied to the surface of a honeycomb panel. The specific method and process of the UV pattern printing system applied to the surface of a honeycomb panel are detailed in the above-mentioned embodiment of the UV pattern printing method applied to the surface of a honeycomb panel, which will not be repeated here.

[0129] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0130] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0131] The above description is only by way of illustration of certain exemplary embodiments of the present invention. It is undoubted that those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the above drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.

Claims

1. A method for UV printing patterns on the surface of honeycomb panels, characterized in that: The following steps are involved: The ink is sprayed evenly on the surface of the honeycomb panel, and then the ink is initially cured by a UV light source with a set initial ultraviolet intensity; After the ink is initially solidified, the state of the ink is collected through sensors and image acquisition equipment, and the collected data is pre-processed to ensure the accuracy and consistency of the data, providing reliable information for subsequent feature extraction; Extract key features that reflect ink fluidity, analyze the extracted features, and input the analyzed features into a pre-trained support vector machine model to automatically identify the ink flow pattern; Based on the prediction results of the support vector machine model, the ink state is divided into high-flow ink and conventional ink; For conventional inks, continue to cure the ink sprayed on the surface of the honeycomb panel at the set initial ultraviolet intensity; After identifying the high-flow ink, fuzzy logic is used to adjust the actual ultraviolet intensity and irradiation time of the UV light source according to the fluidity results predicted by the support vector machine model to dynamically adapt to the actual needs of the ink; Extracting key features of the ink fluidity, wherein the extracted features include the viscosity change rate of the ink during the flow process and the diffusion rate of the ink molecules on the substrate surface. After analyzing the viscosity change rate of the ink during the flow process and the diffusion rate of the ink molecules on the substrate surface, a viscosity decay reference value and a diffusion rate reference value are generated respectively. The viscosity decay reference value is used to quantify the rate at which the viscosity of the ink changes with time or external conditions during the flow process, reflecting the degree of viscosity reduction during the flow process. The diffusion rate reference value is used to quantify the diffusion rate of the ink molecules on the substrate surface, reflecting the ability of the ink to spread and flow on the substrate surface. The specific steps for generating a viscosity attenuation reference value after analyzing the viscosity change rate of the ink during the flow process are as follows: First, during the ink flow process, the viscosity change of the ink is monitored in real time through sensors and image acquisition equipment, the details of the viscosity change over time are captured, and the collected raw data is converted into a viscosity curve over time; By calculating the instantaneous rate of change of viscosity and establishing a relationship with external conditions, a viscosity attenuation reference value is generated, and the viscosity attenuation rate of the ink during the flow process is quantified to reflect the degree of viscosity change. The expression for generating the viscosity attenuation reference value is: ,in, represents the viscosity attenuation reference value at time t, Indicates the viscosity of the ink at time t, represents the rate of change of viscosity with time, represents the ambient temperature at time t, is the reference temperature, and is a constant that regulates the relationship between viscosity decay and external conditions. represents an exponential function, reflecting the accelerating effect of temperature on the viscosity decay rate; The specific steps for generating a diffusion rate reference value after analyzing the diffusion rate of ink molecules on the substrate surface are as follows: Use high-resolution image acquisition systems and sensor equipment to monitor the time evolution of ink diffusion on the substrate surface, accurately record the expansion distance of ink at different time points, obtain the two-dimensional expansion data of ink molecules on the substrate surface over time, and form a time-space Data pairs, time-space The expression of the data pair is: ,in, represents the expansion distance of ink molecules at time t, is the position of the ink molecule at time t, It is the position of the ink starting moment; The change of ink molecule expansion rate is calculated based on time series data to describe the change of ink expansion distance on the substrate surface per unit time. Specifically, the instantaneous diffusion rate at each time point is calculated using a high-order numerical calculation method to reflect the flow state of the ink at each moment. As time changes, the calculation expression of the instantaneous diffusion rate is: ,in, is the instantaneous diffusion rate of ink at time t, is the time increment; By weighted integration of the instantaneous diffusion rate at each time point, a time-dependent diffusion rate reference value is generated to quantify the flow and expansion capabilities of ink molecules over time during the entire diffusion process. In order to further enhance the dynamics of the diffusion rate reference value, a weighted function related to the surface characteristics of the substrate and the fluidity of the ink itself is introduced to more accurately reflect the flow behavior of the ink on the surface in actual applications. The generation expression of the diffusion rate reference value is: ,in, is the reference value of ink diffusion rate at time t, It's time The instantaneous diffusion rate at It is a weighted function related to the ink fluidity and substrate surface contact properties, reflecting the influence of the interaction between ink and surface.

2. The method for UV printing patterns on the surface of honeycomb panels according to claim 1, characterized in that: The initial UV intensity refers to the initial UV radiation intensity value set when the UV light source begins to irradiate the ink. In practical applications, the initial UV intensity should ensure that the ink can begin to chemically react to form a solidified layer, but will not cause over-curing or uneven curing of the ink due to excessive intensity.

3. The method for UV printing patterns on the surface of honeycomb panels according to claim 1, characterized in that: The viscosity attenuation reference value and diffusion rate reference value generated by analyzing the viscosity change rate of the ink during the flow process and the diffusion speed of the ink molecules on the substrate surface are input into the pre-trained support vector machine model to generate the fluidity coefficient. The fluidity of the ink on the surface of the honeycomb panel is predicted by the fluidity coefficient, and the flow pattern of the ink is automatically identified.

4. The method for UV printing patterns on the surface of honeycomb panels according to claim 3, characterized in that: The fluidity coefficient generated when predicting the fluidity of the ink on the surface of the honeycomb panel by the pre-trained support vector machine model is compared and analyzed with the pre-set reference threshold of the fluidity coefficient, and the state of the ink is divided. The specific division steps are as follows: If the fluidity coefficient is greater than or equal to the fluidity coefficient reference threshold, the ink is classified as a high-flow ink; If the fluidity coefficient is less than the fluidity coefficient reference threshold, the ink is classified as a conventional ink.

5. The method for UV printing patterns on the surface of honeycomb panels according to claim 4, characterized in that: After identifying the high-flow ink, fuzzy logic is used to adjust the actual UV intensity and exposure time of the UV light source. The specific steps are as follows: When the ink is determined to be a high-flow ink, a fuzzy rule is defined to convert the ink fluidity coefficient Map the relationship between UV intensity and exposure duration; Based on fuzzy rules, the ultraviolet intensity adjustment factor and the irradiation time adjustment factor are calculated by fuzzy membership function. The calculation expression is: ,in, represents the fuzzy membership function, and It is the ultraviolet intensity adjustment factor and irradiation duration adjustment factor output by the fuzzy membership function, indicating the fuzziness of the mobility coefficient on ultraviolet intensity and irradiation duration. Indicates the current UV intensity. Indicates the current exposure time; The fuzzy logic system is used to dynamically adjust the UV intensity and irradiation time. The fuzzy logic system calculates the adjusted UV light intensity and irradiation time based on the relationship between the fluidity coefficient and the reference threshold of the fluidity coefficient to ensure that the high-flow ink is properly cured. The calculation expression for the adjusted UV light intensity and irradiation time is: ,in, The intensity of ultraviolet rays is dynamically adjusted. is the irradiation time after dynamic adjustment, is the initial setting of UV intensity, The initial exposure time.

6. A system for UV printing patterns on the surface of honeycomb panels, used to implement the method for UV printing patterns on the surface of honeycomb panels as described in any one of claims 1 to 5, characterized in that: It includes a preliminary curing module, a data acquisition and preprocessing module, a feature extraction and analysis module, an ink fluidity classification module, a conventional ink curing module, and a high-fluidity ink curing adjustment module; The preliminary curing module sprays the ink evenly on the surface of the honeycomb panel, and then uses a UV light source to preliminarily cure the ink with a set initial ultraviolet intensity; The data acquisition and preprocessing module collects data on the ink status through sensors and image acquisition devices after the ink is initially solidified, and preprocesses the collected data to ensure the accuracy and consistency of the data, providing reliable information for subsequent feature extraction; The feature extraction and analysis module extracts the key features reflecting the fluidity of the ink, analyzes the extracted features, and inputs the analyzed features into the pre-trained support vector machine model to automatically identify the flow pattern of the ink; The ink fluidity classification module divides the ink state into high-flow ink and conventional ink based on the prediction results of the support vector machine model; Conventional ink curing module, for conventional ink, continues to cure the ink sprayed on the surface of the honeycomb panel with the set initial ultraviolet intensity; The high-flow ink curing adjustment module, after identifying the high-flow ink, uses fuzzy logic to adjust the actual ultraviolet intensity and irradiation time of the UV light source according to the fluidity results predicted by the support vector machine model, and dynamically adapts to the actual needs of the ink.

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