An electrochemical aluminum stamping and matching optimization method and system of varnishing oil process

Abstract

This invention discloses a method and system for optimizing the matching of electroplated aluminum hot stamping and varnishing processes. The system includes a surface energy testing module, a process parameter optimization module, a matching database module, and a quality inspection module. First, the surface energy testing module measures the surface tension value (A) of the cured varnish and the surface energy value (B) of the electroplated aluminum hot melt adhesive layer. Then, based on the matching principle that adhesion is optimal when the difference between the two values ​​is between 3 and 5 dyn / cm, the process parameter optimization module dynamically calculates and recommends the optimal hot stamping temperature, pressure, time, and varnish coating thickness. Finally, the quality inspection module verifies the adhesion and feeds the data back to the matching database. This invention establishes a scientific quantitative surface energy matching mechanism, overcoming the shortcomings of existing technologies that rely on trial and error and lack systematic guidance. It effectively solves quality problems such as weak hot stamping and gold peeling after varnishing, significantly improving production efficiency and product qualification rate.

Description

Technical Field

[0001] This invention relates to the field of surface finishing technology for printed materials, specifically to a method and system for optimizing the matching of electroplated aluminum hot stamping and varnishing processes, which is particularly suitable for the production process of combining varnishing and electroplated aluminum hot stamping in the surface treatment of high-end packaging printed materials. Background Technology

[0002] Hot stamping (electroplated aluminum foil stamping) is a process that uses the principle of heat transfer to transfer the aluminum layer from electroplated aluminum foil onto the surface of the substrate to create a metallic effect. Varnishing, on the other hand, involves applying a transparent coating to the surface of the printed material, which, after drying and curing, forms a glossy protective layer. In high-end printing production, a combination of varnishing followed by hot stamping is commonly used to enhance the product's perceived quality. However, existing technologies have significant problems when combining these two processes: Lack of scientific matching basis: There is a lack of quantitative standards for the surface energy matching between different brands of varnish and electroplated aluminum, resulting in insufficient interfacial bonding and quality defects such as poor hot stamping and gold peeling.

[0003] Process parameters rely on experience: Existing process parameter settings rely heavily on the experience and trial and error of operators, lacking systematic guidance for different material combinations, resulting in long debugging time and high defect rate.

[0004] Limitations of Single Improvements: Existing patents mostly focus on improving single materials (such as improving the structure of electroplated aluminum or optimizing the formulation of varnish), without addressing the matching problem between the two process interfaces from a system perspective. For example, while some patented technologies can improve adhesion under specific conditions, they cannot adapt to the wide combination of various varnishes such as water-based, oil-based, and UV-based with various types of electroplated aluminum, and they have not established a dynamic correlation model between surface energy and process parameters.

[0005] Therefore, there is an urgent need for a systematic approach and system to solve the problem of unstable hot stamping quality after varnishing by establishing a surface energy matching mechanism and optimizing process parameters. Summary of the Invention

[0006] The purpose of this invention is to overcome the shortcomings of the prior art and provide a method and system for optimizing the matching of electroplated aluminum hot stamping and varnishing processes. By establishing the surface energy matching relationship between varnishing and electroplated aluminum, optimizing process parameters, and solving quality problems such as weak hot stamping and gold peeling that occur when hot stamping is performed after varnishing, the invention improves production efficiency and product quality stability.

[0007] To achieve the above objectives, the present invention provides the following technical solution: This invention provides an optimized method for matching electroplated aluminum hot stamping with varnishing processes, characterized by comprising the following steps: S1. Surface Energy Data Acquisition: Measure the surface tension value A after the varnish has cured, and the surface energy value B of the hot melt adhesive layer of the electroplated aluminum to be used; S2. Matching degree evaluation: Calculate the surface energy difference ΔE = BA, and determine whether the difference is within the preset optimal matching range; S3. Process parameter optimization: Based on the surface energy difference ΔE, substrate type, and basic process parameters, the optimal hot stamping process parameters are calculated using a preset process parameter optimization model; the optimal hot stamping process parameters include at least hot stamping temperature, hot stamping pressure, and hot stamping time. S4. Process Implementation: Based on the calculated optimal hot stamping process parameters, the substrate is coated with varnish, dried, and then electroplated with aluminum hot stamping. S5. Quality Inspection and Feedback: Perform adhesion testing on the finished product after hot stamping, and store the test results and corresponding process parameters in the matching database.

[0008] In step S2, the preset optimal matching range is 3 to 5 dyn / cm; When ΔE < 3 dyn / cm, it is determined that the surface wettability of the varnish is insufficient; When ΔE > 5 dyn / cm, it is judged as overwetting.

[0009] In step S3, the process parameter optimization model includes: Hot stamping temperature calculation formula: T=k1×(BA)+T0+△T p ; Hot stamping pressure calculation formula: P=k2×(BA)+P0+△P p ; Formula for calculating hot stamping time: t = k3 × (BA) + t0 + Δt p ; Formula for calculating the thickness of varnish coating: d = k4 × (BA) + d0 + Δd p ; Where T, P, t, and d are the optimized hot stamping temperature, hot stamping pressure, hot stamping time, and varnish coating thickness, respectively; k1, k2, k3, and k4 are adjustment coefficients; T0, P0, t0, and d0 are the basic process parameters; △T p ,△P p ,△t p ,△d p This is an adjustment value based on the substrate type.

[0010] The adjustment value based on the substrate type specifically includes: When the printing substrate is textured paper, △P p To increase the reference pressure by 10% to 20%, △dp To increase the reference thickness by 15% to 25%; When the printing substrate is coated paper, △P p To reduce the reference pressure by 5% to 10%, △d p To reduce the reference thickness by 10% to 15%; When the substrate is plastic film, corona treatment is performed first to increase the surface tension, and then the adjustment value is calculated based on the measured value. When the substrate is metal, △t p To reduce the baseline time by 20%–30%, △t p To increase the reference temperature by 5% to 10%.

[0011] In step S1, the environmental conditions for measurement are controlled at a temperature of 23±2℃ and a relative humidity of 50±5%RH. The surface tension value A after the varnish has cured was measured using the pendant drop method. The surface energy value B of the electroplated aluminum hot melt adhesive layer was measured using the contact angle method.

[0012] In step S5, the adhesion test is performed using the cross-cut adhesion test method, and the adhesion level is evaluated according to the GB / T 9286-2021 standard. If the adhesion level is 0 or 1, it is deemed qualified and the set of parameters is stored in the successful case library of the matching database. If the adhesion level is 2 or above, it is deemed unqualified. The system will automatically fine-tune the process parameters and re-execute steps S4 and S5 until it is qualified.

[0013] This invention also provides an optimization system for matching electroplated aluminum hot stamping and varnishing processes, comprising: The surface energy testing module is used to measure the surface tension value of different brands of varnish after curing and the surface energy value of different brands of electroplated aluminum hot melt adhesive layer; The matching database module is used to store matching relationship data between different brands of varnish and different brands of electroplated aluminum, historical process parameter sets, and successful case data; The process parameter optimization module is connected to the surface energy testing module and the matching database module. It is used to automatically recommend and calculate the best hot stamping process parameters based on the surface energy matching results and substrate information using a preset algorithm. The quality inspection module is used to perform adhesion tests on the hot stamped products and feed the test results back to the matching database module.

[0014] The process parameter optimization module has a built-in dynamic process parameter adjustment algorithm, which can dynamically output control commands for hot stamping temperature, hot stamping pressure, hot stamping time and varnish coating thickness based on the real-time input surface energy difference, substrate type signal and ambient temperature and humidity signal.

[0015] The matching database module uses a hierarchical structure to store data, including a material base database, a process parameter database, a matching relationship database, and a case database; it supports fuzzy search and intelligent recommendation after users input the brand of varnish and the brand of electroplated aluminum.

[0016] The quality inspection module integrates an automated cross-cut test device or a data input interface, which can directly convert the adhesion level data detected manually or automatically into digital signals and feed them back to the system closed-loop control loop.

[0017] The beneficial effects of this invention are: This invention pioneers a quantitative matching principle based on surface energy difference (3-5 dyn / cm), replacing the traditional trial-and-error method.

[0018] This invention integrates closed-loop control of the entire process of testing, calculation, execution, and feedback, providing a complete solution.

[0019] This invention is applicable to various varnishes such as water-based, oil-based, and UV-based varnishes, as well as various electroplated aluminum foils, and can automatically adjust parameters for different substrates such as textured paper and plastic film.

[0020] Experiments show that using this invention can improve adhesion by 1 to 2 levels, reduce the defect rate by 60% to 75%, and shorten the process debugging time by more than 70%. Attached Figure Description

[0021] Figure 1 This is a block diagram of the system for optimizing the matching of electroplated aluminum hot stamping and varnishing processes according to the present invention.

[0022] Figure 2 This describes the specific workflow of the system of the present invention. Detailed Implementation

[0023] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0024] This invention proposes for the first time a quantitative matching principle between the surface energy of varnish and electroplated aluminum. Extensive experiments have revealed that the optimal hot stamping adhesion occurs when the surface tension value (A) of the cured varnish and the surface energy value (B) of the electroplated aluminum hot melt adhesive layer satisfy the following relationship: BA = 3-5 dyn / cm; When the difference is less than 3 dyn / cm, the surface of the varnish is not sufficiently wetted by the hot melt adhesive layer, resulting in insufficient adhesion; when the difference is greater than 5 dyn / cm, excessive wetting will cause the edges of the hot stamping pattern to become blurred, affecting the hot stamping accuracy.

[0025] The surface energy testing module uses the pendant drop method to measure the surface tension of the varnish and the contact angle method to measure the surface energy of the hot melt adhesive layer of the electroplated aluminum. The test environment conditions are uniformly controlled at a temperature of 23±2℃ and a relative humidity of 50±5%RH.

[0026] The process parameter optimization module uses the following mathematical model to calculate the optimal hot stamping parameters: T = k1 × (BA) + T0 + △T p , Where T is the optimized hot stamping temperature (°C), k1 is the temperature adjustment coefficient (empirical value 8-12), B is the surface energy of the hot melt adhesive layer of the electroplated aluminum (dyn / cm), A is the surface tension of the varnish (dyn / cm), T0 is the basic hot stamping temperature (usually 110-120°C), and △T p Adjust the temperature for the substrate (adjust according to the type of substrate).

[0027] Similarly, the hot stamping pressure P (bar) and hot stamping time t (s) are also calculated using a similar model: P = k2 × (BA) + P0 + ΔP p ; t = k3 × (BA) + t0 + Δt p ; Where: k2 and k3 are pressure and time adjustment coefficients, P0 and t0 are the base pressure and time, and ΔP p and △t p Adjustment value for the printing substrate.

[0028] The varnish coating thickness d (μm) is determined based on the surface energy difference and the substrate roughness: d = k4 × (BA) + d0 + Δd p ; Where k4 is the thickness adjustment coefficient, d0 is the base coating thickness, and Δd p Adjust the thickness of the printing substrate.

[0029] Surface energy difference (dyn / cm) Hot stamping temperature adjustment (°C) Hot stamping pressure adjustment (bar) Hot stamping time adjustment (s) Varnish thickness (μm) 1-2 +5～+8 +0.2～+0.4 +0.2～+0.3 1.2～1.5 3-5 (Best) benchmark value benchmark value benchmark value 1.5～2.0 6-7 -3～-5 -0.1～-0.3 -0.1～-0.2 2.0～2.3 8-10 -8～-12 -0.4～-0.6 -0.3～-0.5 2.3～2.8 The matching database module uses a hierarchical structure to store data, including: 1. Material Basic Database: Stores basic parameters of different brands of varnishes and electroplated aluminum, such as surface energy value, composition type, and applicable substrates.

[0030] 2. Process parameter database: Stores verified optimal combinations of process parameters, including temperature, pressure, time, etc.

[0031] 3. Matching Relationship Database: Stores the matching grades (excellent, good, medium, poor) of varnish and aluminum plating, as well as the corresponding adhesion test results.

[0032] 4. Case Database: Stores complete process solutions and quality assessment reports for successful application cases.

[0033] The database supports fuzzy search and intelligent recommendations. After a user enters the brand of varnish and electroplated aluminum, the system can automatically retrieve the best matching solution. If no exact match is found, the system will recommend the closest feasible solution based on similarity principles.

[0034] In practical applications, key parameters need to be adjusted for different substrates and process types: Varnish application parameters: 1. Water-based varnish: Coating thickness 1.5~2.5μm, drying temperature 80~100℃, drying time 20~40 seconds.

[0035] 2. UV varnish: Coating thickness 2.0~3.5μm, UV curing energy 300~500mj / cm².

[0036] 3. Oil-based varnish: Coating thickness 1.8~3.0μm, drying temperature 70~90℃, drying time 25~45 seconds.

[0037] Hot stamping process parameter range: 1. Hot stamping temperature: 100~140℃, finely adjusted according to the surface energy difference.

[0038] 2. Hot stamping pressure: 6-12 bar, adjusted according to the flatness of the substrate and the area to be stamped.

[0039] 3. Hot stamping time: 0.3 to 1.5 seconds, adjusted according to the complexity of the design.

[0040] 4. Hot stamping speed: Adjust according to equipment performance and hot stamping effect.

[0041] The system of this invention has specific adaptive adjustment parameters for different substrate characteristics: For textured paper substrates: Based on experience with the electroplated aluminum foil hot stamping process for textured paper, due to the uneven surface, it is necessary to appropriately increase the hot stamping pressure (+10%~20%) and the coating thickness of the varnish (+15%~25%) to ensure that the hot stamping pattern is complete and free of pinholes.

[0042] Coated paper substrates: High surface flatness allows for appropriate reduction in hot stamping pressure (-5% to 10%) and varnish coating thickness (-10% to 15%), thereby improving hot stamping accuracy.

[0043] Plastic film substrates: have low surface energy, so corona treatment is required first to increase surface tension, and then process parameters are adjusted according to the surface energy test results.

[0044] Metallic substrates: have good thermal conductivity, so the hot stamping time should be shortened (-20% to 30%) and the hot stamping temperature should be increased (+5% to 10%).

[0045] The specific implementation methods and effects of the present invention are further illustrated below through three typical embodiments.

[0046] Example 1: Optimization of the matching between UV varnish and ordinary electroplated aluminum Materials: Brand A UV varnish, Brand X ordinary electroplated aluminum foil, 200g / m² coated paper.

[0047] Test: The surface tension of the varnish was measured to be A = 38.5 dyn / cm, and the surface energy of the electroplated aluminum was measured to be B = 42.3 dyn / cm. The difference ΔE = 3.8 dyn / cm, which is within the optimal range.

[0048] Parameter calculation: The system recommends a hot stamping temperature of 125℃, a pressure of 8.5 bar, a time of 0.8 s, and a varnish thickness of 2.0 μm.

[0049] Results: Adhesion grade 0 in cross-cut test, pattern integrity 98.5%, no pinholes.

[0050] Example 2: Optimization of the matching between water-based varnish and laser electroplated aluminum Materials: Brand B water-based varnish, Brand Y laser electroplated aluminum foil, 180g / m² textured paper.

[0051] Test results: A = 36.8 dyn / cm, B = 41.5 dyn / cm, ΔE = 4.7 dyn / cm.

[0052] Parameter adjustment: In response to the rough characteristics of textured paper, the system automatically increases the pressure to 10.5 bar (+20%) and the thickness to 2.3 μm (+15%).

[0053] Results: Adhesion level 1, pattern integrity 96.8%, and clear texture.

[0054] Example 3: Comparative Experiment The traditional process was compared with the optimized process of this invention. The results showed that the traditional process had an adhesion level of 2-3 and a defect rate of 8-15%; while the process of this invention had a stable adhesion level of 0-1, a defect rate of 2-5%, and an increase in production efficiency of 25-40%.

[0055] To verify the effectiveness of this invention, a comparative experiment was conducted between the traditional empirical process and the optimized process of this invention: Table 2: Comparison of Traditional Process and Optimized Process of This Invention Comparison Projects Traditional experience and craftsmanship This invention optimizes the process. Improvement range Adhesion (cross-cutting grade) Level 2-3 Level 0-1 Increase by 1-2 levels Hot stamping integrity 90～95% 96～99% Increase by 3-8% Defect rate 8～15% 2～5% Reduced by 60-75% Process debugging time 2-4 hours 0.5 to 1 hour Shortened by 70-85% Production efficiency benchmark Increase by 25-40% Significant improvement Experimental results show that after adopting the system of the present invention, the hot stamping adhesion is significantly improved, the defect rate is greatly reduced, the process debugging time is shortened, and the production efficiency is significantly improved.

[0056] like Figure 2 As shown, the present invention also provides an optimization system for matching electroplated aluminum hot stamping and varnishing processes, comprising: The surface energy testing module is used to measure the surface tension value of different brands of varnish after curing and the surface energy value of different brands of electroplated aluminum hot melt adhesive layer; The matching database module is used to store matching relationship data between different brands of varnish and different brands of electroplated aluminum, historical process parameter sets, and successful case data; The process parameter optimization module is connected to the surface energy testing module and the matching database module. It is used to automatically recommend and calculate the best hot stamping process parameters based on the surface energy matching results and substrate information using a preset algorithm. The quality inspection module is used to perform adhesion tests on the hot stamped products and feed the test results back to the matching database module.

[0057] Table 3: Functional Description of Main Modules of the System Module Name Main functions Output data Surface energy testing module Measure the surface tension of varnish and the surface energy of electroplated aluminum. Surface tension value, surface energy value Process parameter optimization module Calculate the optimal process parameters Hot stamping temperature, pressure, time, and varnish thickness Matching database module Store and match process parameters Matching relationship table, parameter recommendation Quality Inspection Module Evaluate hot stamping adhesion Adhesion rating and quality assessment report The process parameter optimization module has a built-in dynamic process parameter adjustment algorithm, which can dynamically output control commands for hot stamping temperature, hot stamping pressure, hot stamping time and varnish coating thickness based on the real-time input surface energy difference, substrate type signal and ambient temperature and humidity signal.

[0058] The matching database module uses a hierarchical structure to store data, including a material base database, a process parameter database, a matching relationship database, and a case database; it supports fuzzy search and intelligent recommendation after users input the brand of varnish and the brand of electroplated aluminum.

[0059] The quality inspection module integrates an automated cross-cut test device or a data input interface, which can directly convert the adhesion level data detected manually or automatically into digital signals and feed them back to the system closed-loop control loop.

[0060] like Figure 2 As shown, the system workflow of the present invention includes the following steps: 1. Material Selection: Choose the appropriate varnish and electroplated aluminum brand according to product requirements. For example, varnishes can be water-based or UV-based, and electroplated aluminum can be selected based on color, texture, and other requirements.

[0061] 2. Database Query: Input the selected varnish and hot stamping foil brands into the system to query whether there are existing matching records in the matching database. If so, directly obtain the optimized process parameters; if not, enter the surface energy test process.

[0062] 3. Surface Energy Test: Use the surface energy test module to measure the surface tension value of the cured varnish and the surface energy value of the hot stamping foil hot melt adhesive layer. At least 4 hours of equilibration is required under standard environmental conditions (temperature 23 ± 2°C, relative humidity 50 ± 5%RH) before testing.

[0063] 4. Parameter Optimization Calculation: Based on the surface energy test results, use the process parameter optimization module to calculate the optimal hot stamping temperature, hot stamping pressure, hot stamping time, and varnish coating thickness. Factors such as the type of substrate and environmental temperature and humidity need to be considered during the calculation.

[0064] 5. Process Implementation: Perform varnish coating, drying, and hot stamping of the hot stamping foil according to the optimized parameters. The varnish coating needs to ensure uniform thickness, and drying needs to be thorough; hot stamping needs to ensure precise control of temperature, pressure, and time.

[0065] 6. Quality Inspection: After hot stamping, use the quality inspection module to conduct an adhesion test. The cross-cut test method is adopted, and the adhesion grade is evaluated according to the GB / T 9286-2021 standard. An adhesion grade of 0 to 1 is considered qualified, and a grade above 2 is considered unqualified.

[0066] 7. Data Feedback: Feed back the test results to the matching database module. If the adhesion is qualified, store this parameter combination as a successful case; if it is unqualified, make parameter fine-tuning and retest until it is qualified.

[0067] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included within the protection scope of the present invention.

Claims

1. A method for optimizing the matching of electroplated aluminum hot stamping and varnishing processes, characterized in that, Includes the following steps: S1. Surface Energy Data Acquisition: Measure the surface tension value A after the varnish has cured, and the surface energy value B of the hot melt adhesive layer of the electroplated aluminum to be used; S2. Matching degree evaluation: Calculate the surface energy difference ΔE = BA, and determine whether the difference is within the preset optimal matching range; S3. Process parameter optimization: Based on the surface energy difference ΔE, substrate type, and basic process parameters, the optimal hot stamping process parameters are calculated using a preset process parameter optimization model; the optimal hot stamping process parameters include at least hot stamping temperature, hot stamping pressure, and hot stamping time. S4. Process Implementation: Based on the calculated optimal hot stamping process parameters, the substrate is coated with varnish, dried, and then electroplated with aluminum hot stamping. S5. Quality Inspection and Feedback: Perform adhesion testing on the finished product after hot stamping, and store the test results and corresponding process parameters in the matching database.

2. The method for optimizing the matching of electroplated aluminum hot stamping and varnishing processes according to claim 1, characterized in that, In step S2, the preset optimal matching range is 3 to 5 dyn / cm; When ΔE < 3 dyn / cm, it is determined that the surface wettability of the varnish is insufficient; When ΔE > 5 dyn / cm, it is judged as overwetting.

3. The method for optimizing the matching of electroplated aluminum hot stamping and varnishing processes according to claim 1 or 2, characterized in that, In step S3, the process parameter optimization model includes: Hot stamping temperature calculation formula: T = k1 x (B - A) + T0 + AT p ; The formula for calculating the stamping pressure is: P = k2 x (B - A) + P0 + ΔP p ; Hot stamping time calculation formula: t = k3 x (B - A) + t0+ At p ; The gloss varnish coating thickness calculation formula: d = k4 x (B - A) + d0+ Δd p ; Where T, P, t, and d are the optimized hot stamping temperature, hot stamping pressure, hot stamping time, and varnish coating thickness, respectively; k1, k2, k3, and k4 are adjustment coefficients; T0, P0, t0, and d0 are the basic process parameters; △T p ,△P p ,△t p ,△d p This is an adjustment value based on the substrate type.

4. The method for optimizing the matching of electroplated aluminum hot stamping and varnishing processes according to claim 3, characterized in that, The adjustment value based on the substrate type specifically includes: When the printing substrate is textured paper, △P p To increase the reference pressure by 10% to 20%, △d p To increase the reference thickness by 15% to 25%; When the printing substrate is coated paper, △P p To reduce the reference pressure by 5% to 10%, △d p To reduce the reference thickness by 10% to 15%; When the substrate is plastic film, corona treatment is performed first to increase the surface tension, and then the adjustment value is calculated based on the measured value. When the substrate is metal, △t p To reduce the reference time by 20% to 30%, Δt p To increase the reference temperature by 5% to 10%.

5. The method for optimizing the matching of electroplated aluminum hot stamping and varnishing processes according to claim 1, characterized in that, In step S1, the environmental conditions for measurement are controlled at a temperature of 23±2℃ and a relative humidity of 50±5%RH. The surface tension value A after the varnish has cured was measured using the pendant drop method. The surface energy value B of the electroplated aluminum hot melt adhesive layer was measured using the contact angle method.

6. The method for optimizing the matching of electroplated aluminum hot stamping and varnishing processes according to claim 1, characterized in that, In step S5, the adhesion test is performed using the cross-cut adhesion test method, and the adhesion level is evaluated according to the GB / T 9286-2021 standard. If the adhesion level is 0 or 1, it is deemed qualified and the set of parameters is stored in the successful case library of the matching database. If the adhesion level is 2 or above, it is deemed unqualified. The system will automatically fine-tune the process parameters and re-execute steps S4 and S5 until it is qualified.

7. A matching and optimization system for electroplated aluminum hot stamping and varnishing processes, used to implement the method described in any one of claims 1 to 6, characterized in that, include: The surface energy testing module is used to measure the surface tension value of different brands of varnish after curing and the surface energy value of different brands of electroplated aluminum hot melt adhesive layer; The matching database module is used to store matching relationship data between different brands of varnish and different brands of electroplated aluminum, historical process parameter sets, and successful case data; The process parameter optimization module is connected to the surface energy testing module and the matching database module. It is used to automatically recommend and calculate the best hot stamping process parameters based on the surface energy matching results and substrate information using a preset algorithm. The quality inspection module is used to perform adhesion tests on the hot stamped products and feed the test results back to the matching database module.

8. The electroplated aluminum hot stamping and varnishing process matching optimization system according to claim 7, characterized in that, The process parameter optimization module has a built-in dynamic process parameter adjustment algorithm, which can dynamically output control commands for hot stamping temperature, hot stamping pressure, hot stamping time and varnish coating thickness based on the real-time input surface energy difference, substrate type signal and ambient temperature and humidity signal.

9. The electroplated aluminum hot stamping and varnishing process matching optimization system according to claim 7, characterized in that, The matching database module uses a hierarchical structure to store data, including a material base database, a process parameter database, a matching relationship database, and a case database; it supports fuzzy search and intelligent recommendation after users input the brand of varnish and the brand of electroplated aluminum.

10. The electroplated aluminum hot stamping and varnishing process matching optimization system according to claim 7, characterized in that, The quality inspection module integrates an automated cross-cut test device or a data input interface, which can directly convert the adhesion level data detected manually or automatically into digital signals and feed them back to the system closed-loop control loop.

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