Quasi-molecular skin-touch coating and preparation method thereof

Abstract

The invention relates to the technical field of polymer composite materials, and discloses an excimer skin-touch coating and a preparation method thereof.The coating is prepared from polyurethane dispersoid, organic silicon modified acrylic resin, a skin-touch additive, inorganic pigment filler, a solvent and a functional additive, the preparation method comprises the following steps: compounding base materials of polyurethane and organic silicon modified acrylic resin to form an interpenetrating network skeleton, then introducing a skin feeling auxiliary agent and a pigment filler step by step to realize gradient dispersion, and finally finishing system optimization through the synergistic effect of rheological regulation and functional auxiliary agents. Through a molecular structure interpenetrating network, intelligent process control and environmental protection technology integration, the core problems of easy touch attenuation, strong environmental sensitivity, auxiliary agent migration, pollution emission and the like of a traditional skin-touch coating are solved. The technology of gradient copolymerization anchoring, humidity dynamic compensation, closed-loop process control and the like is creatively fused, and multiple breakthroughs of long-acting skin feeling, high environmental adaptability and green production of the coating are achieved while excellent mechanical performance is kept.

Description

Technical Field

[0001] The present invention relates to the technical field of polymer composite materials, in particular to an excimer skin-feel coating and a preparation method thereof. Background Art

[0002] Polymer coating materials are increasingly being used in consumer electronics, medical devices, and other fields, leading users to place higher demands on the materials' tactile feel and durability. While the current mainstream silicone-polyurethane composite system can achieve a certain degree of flexibility, practical applications often suffer from high environmental sensitivity and additive migration. Especially in environments subject to drastic temperature and humidity fluctuations, coatings are prone to failure, such as tactile degradation and surface defects, severely restricting the user experience of high-end products.

[0003] Existing technologies often improve coating performance through simple compounding or physical blending, lacking the coordinated control of material microstructure and process parameters. For example, traditional processes employ fixed formulation ratios and processing conditions, making them difficult to adapt to film-forming requirements in diverse environments. Furthermore, crude additive addition methods lead to the gradual loss of functional ingredients over long-term use. More critically, existing production systems lack a deep understanding of the multi-component interaction mechanisms, making it impossible to precisely design and stably control material properties.

[0004] In view of the above-mentioned defects, the present invention proposes an excimer skin-feel coating and a preparation method thereof. Summary of the Invention

[0005] The purpose of the present invention is to provide a quasi-molecular skin-feel coating and a preparation method thereof, which solves the problem that traditional skin-feel coatings are difficult to balance in terms of tactile durability, environmental stability and environmental performance.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: The first aspect of the present invention provides an excimer skin-feel coating, which comprises the following components in parts by mass: 50-60 parts of polyurethane dispersion; 15-25 parts of silicone modified acrylic resin; 5-10 parts of skin feel additive; 5-15 parts of inorganic pigments and fillers; 5-10 parts of solvent; 2-5 parts of functional additives, including leveling agents and defoaming agents.

[0007] The polyurethane dispersion provides flexible segments for adhesion to the substrate, and its anionic nature enables pH-responsive dispersion through carboxylate groups; The siloxane segments in the silicone resin form a surface enrichment layer through gradient distribution, reducing the surface energy (≤22mN / m) and giving the coating a skin-like feel; The two form an interpenetrating network structure through hydrogen bonds and van der Waals forces, solving the phase separation problem caused by poor compatibility of traditional resins.

[0008] The linear structure of polydimethylsiloxane reduces the friction coefficient (μ≤0.15), while the polyether-modified silicone oil enhances the anchoring effect with the resin through the EO / PO chain segments; The viscosity range of 500-1000 mPa·s ensures that the additive can migrate directionally to the coating surface under shear force to form a continuous modified layer.

[0009] Preferably, the polyurethane dispersion is anionic, and the skin feel enhancer is selected from at least one of polydimethylsiloxane and polyether-modified silicone oil, and the viscosity thereof is in the range of 500-1000 mPa·s.

[0010] Preferably, the inorganic pigment filler is a composite filler of rutile titanium dioxide or calcium carbonate and talc, wherein the mass ratio of the composite filler is 3:1, and the solvent is an ether ester solvent, which is a mixture of propylene glycol methyl ether acetate and dipropylene glycol butyl ether, with a volume ratio of 1:1.

[0011] Preferably, the organosilicon-modified acrylic resin is prepared by the following steps: Monomer premixing: Mixing acrylate monomer and vinyl-containing siloxane monomer in a mass ratio of 90:10 to 80:20 to form a premixed monomer system; Gradient copolymerization: Heat the premixed monomer system to 70-90°C, add 0.5-1.5% of the total monomer mass of a free radical initiator, and control the viscosity growth rate of the reaction system to 50-100 mPa·s / h; Post-processing purification: When the reaction conversion rate reaches 95% or above, terminate the reaction and remove the unreacted monomers by molecular distillation to control the residual amount to ≤0.5%; Resin molding: The purified copolymer melt is pelletized through a twin-screw extruder, with the extrusion temperature controlled at 120-150°C and the screw speed at 80-120 rpm to obtain silicone-modified acrylic resin particles with a particle size of 2-4 mm.

[0012] The premixed monomer ratio (acrylate:siloxane = 90:10 to 80:20) controls the polarity gradient of the copolymer backbone; The viscosity growth rate is limited to 50-100 mPa·s / h, and the difference in the reactivity ratio of siloxane monomers is regulated by free radical reaction kinetics, which promotes the enrichment of siloxane segments in the later stage of copolymerization. Molecular distillation purification uses 120-150℃ / ≤5Pa conditions to achieve selective removal based on the boiling point difference between siloxane monomers and copolymers.

[0013] Twin-screw granulation process ensures the performance of the final product: The extrusion temperature is 120-150℃ (between the resin Tg and decomposition temperature) to achieve melt plasticization without degradation; The screw speed is 80-120 rpm to control the melt shear rate and avoid stress concentration caused by excessive orientation of polymer chains.

[0014] Preferably, the leveling agent is a polyacrylate compound, which accounts for 0.5-1.2% of the mass of the functional additive; the defoaming agent is an organosilicon compound, which accounts for 0.3-0.8% of the mass of the functional additive.

[0015] A second aspect of the present invention provides a method for preparing an excimer skin-feel coating, which is used to prepare the above-mentioned excimer skin-feel coating, comprising the following steps: S1. Base material mixing: mixing polyurethane dispersion and silicone modified acrylic resin to form a base material; S2. Dispersion of skin feel additives: adding skin feel additives to the base material and dispersing them; S3, pigment and filler time dispersion: add pigments and fillers in batches and adjust the rheological state of the system; S4. Functionalization treatment: adding functional additives and filtering to obtain the finished product.

[0016] Preferably, in step S2: The distributed processing satisfies the energy equation constraint, which is the product of speed and time divided by material temperature, and the calculated value is controlled within the range of 800-1200; The speed of the dispersion treatment is 800-1200 rpm, the treatment time is 0.5-1.5 h, and the material temperature is maintained at 30-40°C.

[0017] Preferably, in step S3: Add in batches in three equal amounts, with an interval of 10-15 minutes between adjacent batches; During the addition process, the viscosity of the system is dynamically controlled to be 2000-4000mPa·s. When the viscosity exceeds the upper limit, the solvent is automatically added. The calculation formula for the amount of solvent to be added is: Addition amount = (current viscosity value - 4000) / 1000 × 0.5.

[0018] Preferably, in step S4: Functionalization treatment includes online infrared spectroscopy detection. When 1630 cm -1 The characteristic peak intensity is similar to that at 1720 cm -1 The treatment was terminated when the ratio of characteristic peak intensities reached 0.7-1.2; The filtration adopts a double-stage cascade method of 300-350 mesh coarse filtration and 4-6μm fine filtration, and the filtration pressure difference is controlled at 0.2-0.5MPa.

[0019] Preferably, global control is also included: The cumulative process time from step S1 is ≤ 150 min, and the system is terminated when the timeout is exceeded; When the ambient humidity exceeds 70%, adjust the amount of solvent added according to the humidity compensation formula, which is as follows: Compensation amount = original solvent addition amount × [1 + 0.005 × (current humidity value - 70)].

[0020] In summary, the present invention includes at least one of the following beneficial technical effects: 1. The present invention constructs a molecular-level interpenetrating network of silicone-modified acrylic resin and polyurethane to form a surface energy gradient distribution structure. This design continuously enriches the coating surface with flexible silicone chains, giving the material a warm touch similar to human skin while maintaining mechanical strength. This overcomes the technical contradiction of traditional coatings that is difficult to strike a balance between hardness and flexibility.

[0021] 2. The present invention dynamically adjusts the solvent composition through a humidity compensation algorithm and effectively balances the film-forming dynamics under different climatic conditions by establishing a volatilization rate-environmental parameter correlation model. This mechanism enables the product to form a dense film layer in high temperature, high humidity or dry environments, solving the defects of traditional formulas such as sagging and orange peel caused by environmental sensitivity.

[0022] 3. The present invention constructs a closed-loop process control system by combining a staged feeding process with real-time infrared monitoring technology. This solution accurately controls the critical parameters of the dispersion and synthesis processes through energy equation constraints and characteristic peak tracking, ensuring the thermodynamic stability of the multi-component system, significantly reducing batch differences, and improving product qualification rates.

[0023] 4. The gradient copolymerization process of the present invention constructs an anchoring structure in the resin molecular chain, allowing the functional additive to form a dual fixation mechanism of chemical bonding and physical entanglement. This design effectively inhibits the migration and precipitation of the additive, allowing the coating's low friction and anti-fouling properties to remain stable even after long-term use or multiple cleanings.

[0024] 5. The present invention achieves targeted capture of volatile organic compounds during the production process through particle size classification interception and vapor pressure regulation. While ensuring filtration accuracy, this system increases solvent recovery rate to a new level, significantly reducing the environmental load of the production process. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 Schematic diagram of the method of the present invention. DETAILED DESCRIPTION

[0026] The following is combined with Figure 1 , the present invention is described in further detail.

[0027] The present invention provides an excimer skin-feel coating and a preparation method thereof through three embodiments, the specific contents of which are as follows: Example 1-3: Example 1: Raw material ratio (parts by mass): Polyurethane dispersion: 55 parts (solid content 42%, HLB 20); Silicone-modified acrylic resin: 20 parts (siloxane content 10%, Mw 35,000); Skin feel enhancer: 7.5 parts (polydimethylsiloxane, viscosity 750 mPa·s); Pigment and filler: 10 parts (rutile TiO2, D50 = 0.3 μm); Solvent: 7.5 parts (PMA:DPNB=1:1); Functional additives: 3.5 parts (leveling agent 1.0%, defoaming agent 0.5%).

[0028] Preparation steps: Base material mixing: Mix the polyurethane dispersion and silicone resin at 35°C and control the stirring speed to 400 rpm. The viscosity ratio of the two phases was monitored in real time at 1:1, the pH was maintained at 8.0, and the mixing time was 1.5 h.

[0029] Skin feel additive dispersion: Add skin feel additive at a rate of 3 mL / min; Use sawtooth disk to disperse, the speed is 900rpm, the time is 50min, and the material temperature is 35℃; Energy equation value: Time-dependent dispersion of pigments and fillers: Add pigments and fillers in 3 batches, with an interval of 12 minutes between each batch; Dynamic viscosity control: initial viscosity 2500mPa·s, add 0.25 parts of solvent (calculated according to the formula); functionalization treatment: The infrared detection peak intensity ratio is terminated when it reaches 0.95; Double-stage filtration: 325 mesh + 5μm, pressure difference 0.35MPa.

[0030] Example 2: Raw material ratio (parts by mass): Polyurethane dispersion: 50 parts (solid content 40%, HLB 18); Silicone-modified acrylic resin: 15 parts (siloxane content 8%, Mw 20,000); Skin feel additive: 5 parts (polyether modified silicone oil, viscosity 500 mPa·s); Pigment and filler: 5 parts (CaCO3: Talc = 3:1, D50 = 5 μm); Solvent: 5 parts (PMA:DPNB=1:1); Functional additives: 2 parts (leveling agent 0.5%, defoaming agent 0.3%).

[0031] Preparation steps: Base material mixing: Mixing was carried out at 30°C, stirring speed 300 rpm, viscosity ratio 1:0.8, pH 7.5, and time 1 h; Skin feel additive dispersion: Dropping speed 2mL / min, rotation speed 800rpm, time 0.5h, temperature 30℃; Energy equation value: Time-dependent dispersion of pigments and fillers: Add in 3 batches, 10 min apart; Initial viscosity 2000mPa·s, additional amount 0.5 parts (current viscosity 5000mPa·s); Functional processing: The infrared peak intensity ratio ends at 0.7; Filtration: 300 mesh + 4μm, pressure difference 0.2MPa.

[0032] Example 3: Raw material ratio (parts by mass): Polyurethane dispersion: 60 parts (solid content 45%, HLB 22); Silicone-modified acrylic resin: 25 parts (siloxane content 12%, Mw 50,000); Skin feel enhancer: 10 parts (PDMS and modified silicone oil 1:1, viscosity 1000 mPa·s); Pigment and filler: 15 parts (TiO2 and composite filler 1:1); Solvent: 10 parts (PMA:DPNB=1:1); Functional additives: 5 parts (leveling agent 1.2%, defoaming agent 0.8%).

[0033] Preparation steps: Base material mixing: Mixing was carried out at 40°C, stirring speed was 500 rpm, viscosity ratio was 1:1.2, pH was 8.5, and time was 2 h; Skin feel additive dispersion: Dropping speed 5 mL / min, rotation speed 1200 rpm, time 1.5 h, temperature 40 °C; Energy equation value: Time-dependent dispersion of pigments and fillers: Add in 3 batches, 15min apart; Initial viscosity 4000mPa·s, additional amount 0 parts; Functional processing: The infrared peak intensity ratio ends at 1.2; Filtration: 350 mesh + 6μm, pressure difference 0.5MPa.

[0034] Comparative Examples 1-8: Comparative Example 1: Compared with Example 1, the difference is: Remove the silicone-modified acrylic resin and replace it with an equal amount of ordinary acrylic resin (without silicone modification); The polyurethane dispersion was adjusted to a single type (non-anionic).

[0035] Comparative Example 2: Compared with Example 1, the difference is: The skin feel additive is replaced with an equal amount of non-silicone leveling agent (acrylate); Eliminate the defoamer component in the functional additives.

[0036] Comparative Example 3: Compared with Example 1, the difference is: The dispersion processing parameters in step S2 were adjusted to: rotation speed 1500 rpm×time 2 h×temperature 40°C; Energy equation value

[0037] Comparative Example 4: Compared with Example 1, the difference is: The silicone-modified acrylic resin was prepared using a conventional copolymerization process (one-time feeding, without viscosity growth rate control); the ratio of siloxane monomers was adjusted to 60:40.

[0038] Comparative Example 5: Compared with Example 1, the difference is: Step S3: Add pigments and fillers at once. Cancel the viscosity feedback replenishment mechanism.

[0039] Comparative Example 6: Compared with Example 1, the difference is: The functionalization treatment in step S4 was changed to a fixed time of 2 h (without infrared spectroscopy monitoring); The filtration is done with single-stage 300-mesh filtration only.

[0040] Comparative Example 7: Compared with Example 1, the difference is: Humidity compensation formula for cancellation right 10; The amount of solvent added is fixed to the original value (not adjusted with ambient humidity).

[0041] Comparative Example 8: Compared with Example 1, the difference is: The ratio of siloxane monomers in the preparation of silicone-modified resin was adjusted to 70:30; The molecular distillation temperature was set at 180°C.

[0042] Test Example 1-5: Test Example 1: Experimental description of the verification of the synergistic effect of two resins Subjects: Example 1: Standard sample prepared according to the method of Example 1 Comparative Example 1: The organosilicon-modified acrylic resin was removed, and a comparative sample of ordinary acrylic resin and non-anionic polyurethane dispersion was used.

[0043] Experimental steps: Adhesion test: Equipment: grid marker (blade spacing 2mm), 3M tape.

[0044] operate: a. Cut 6×6 squares on the coating surface (deep to the substrate); b. Apply the tape and tear it off quickly; c. Count the percentage of cells that have fallen off (level 0: 0%; level 5: >65%); Standard: GB / T9286-2021.

[0045] Bending resistance test: Equipment: Shaft diameter 3mm bending tester.

[0046] operate: a. Bend the coated specimen 180° around the axis; b. Observe the cracks at the bend with a 4x magnifying glass; c. Record the minimum shaft diameter that can pass without cracks.

[0047] Standard: GB / T6742-2007.

[0048] Surface energy determination: Equipment: Contact angle measuring instrument (deionized water / diiodomethane).

[0049] operate: a. Add 2 μL droplets to the coating surface; b. Measure the contact angle after 10 seconds; c. Calculate the surface energy using the OWRK equation.

[0050] Standard: GB / T30693-2014.

[0051] Experimental data table: Table 1 Comparison of test data of dual resin synergistic effect Summary: This experiment reveals the key role of the dual-resin system in regulating coating properties. The polyurethane dispersion and the silicone-modified acrylic resin form a stable interpenetrating network structure through directional bonding of carboxylate groups and silanol groups. This topological entanglement at the molecular level effectively inhibits resin phase separation. The adhesion level of level 0 and the crack-free bending performance in Example 1 confirm the effect of this structure on improving interfacial bonding strength and deformation energy. However, due to the lack of a gradient distribution of siloxane in Comparative Example 1, the integrity of the network structure was destroyed, resulting in 18% of the grid falling off and obvious cracks.

[0052] Surface energy data further validates the mechanism of surface enrichment of siloxane segments. The low surface energy of 23.4 mN / m in Example 1 stems from the gradient distribution of siloxane during copolymerization, which forms a continuous enriched layer (contact angle 102°) on the coating surface through the movement of molecular segments. In contrast, the surface energy of Comparative Example 1, due to the use of conventional acrylic resin, increases to 36.8 mN / m, while the contact angle decreases to 78°, losing its core characteristic of skin-like feel.

[0053] The agreement between experimental data and theoretical models indicates that the dual-resin system achieves a balanced optimization of mechanical properties and surface characteristics through the synergistic effect of chemical bonding and physical entanglement. This synergistic effect is not only reflected in macroscopic performance parameters, but also demonstrates multi-level structural response characteristics through energy dissipation mechanisms (bending deformation) and interfacial wetting behavior (contact angle change), providing dual guarantees for the long-term stability of the coating and user experience.

[0054] Test Example 2: Experimental description of the functional verification of the additive system Subjects: Example 1: Standard sample containing polydimethylsiloxane skin feel additive and defoaming agent; Comparative Example 2: A comparative sample in which the skin feel additive is replaced with a non-silicone leveling agent and the defoaming agent is omitted.

[0055] Experimental steps: Surface friction coefficient test: Equipment: Friction coefficient meter (slider weight 200g, friction surface PE film).

[0056] operate: a. Fix the coating specimen on a horizontal platform; b. The slider is pulled at a constant speed of 100mm / min; c. Record the peak values of starting friction and sliding friction.

[0057] Standard: ASTM D1894.

[0058] Shrinkage density test: Equipment: Digital microscope (200x field of view).

[0059] operate: a. Randomly select 10 10×10mm 2 area; b. Count the number of shrinkage cavities with diameter greater than 0.1 mm; c. Calculate the defect density per unit area.

[0060] Dynamic surface tension test: Equipment: Maximum bubble pressure tensiometer (test frequency 0.5 Hz).

[0061] operate: a. Dilute the paint to the construction viscosity; b. Measure the surface tension variation curve over time; c. Take the tension decay rate in the first 30 seconds.

[0062] Standard: ISO1409:2006.

[0063] Experimental data table: Table 2 Comparison of additive function verification test data Summary: This experiment reveals the crucial influence of specific additive systems on coating surface properties. The flexible structure of the polydimethylsiloxane molecular chains aligns under shear forces, forming a dynamic lubrication layer. The kinetic friction coefficient of 0.126 in Example 1 confirms the effectiveness of this migration mechanism. In contrast, in Comparative Example 2, where a rigid acrylic leveling agent was used, the molecular chains failed to respond to shear forces, resulting in a high friction coefficient of 0.263. Increased surface roughness resulted in a degraded tactile feel, which is highly consistent with the shear response theory used in additive molecular design.

[0064] The surface tension data further reveals the synergistic stabilization mechanism of the defoamer. The gentle decay curve of 0.45 mN / m·s in Example 1 indicates that the defoamer blocks the rapid migration of surfactants by destroying the elastic membrane structure of the bubbles. In Comparative Example 2, due to the removal of the defoamer, the tension decay rate increases to 1.12 mN / m·s. The intense Maragni effect triggers fluid convection, forming 5.3 / cm 2 This is consistent with the prediction of interface stability theory.

[0065] Experimental data confirms from the perspective of molecular motion and interfacial dynamics that a specific additive combination achieves a balance between low friction and high apparent quality through the dual effects of "shear-induced orientation + surface activity inhibition." This synergistic effect is not only reflected in macroscopic performance parameters, but also through the hysteresis effect of the friction coefficient (dynamic / static friction difference <0.006) and the linear characteristics of tension attenuation (R 2 >0.98), showing its adaptability to complex working conditions and providing reliable guarantee for the practical application of the coating.

[0066] Test Example 3: Process Parameter Boundary Verification Experiment Description Subjects: Example 1: Sample prepared according to standard process parameters (energy equation value 1286); Comparison group: Comparative Example 3: Sample with over-limit parameters (energy equation value 4500); Comparative Example 4: Sample of non-gradient copolymerization process; Comparative Example 8: Sample with over-limit resin synthesis parameters.

[0067] Experimental steps: Dispersion stability test: Equipment: Centrifuge (3000 rpm, 15 min).

[0068] operate: a. Take 50mL of sample and put it into a centrifuge tube; b. Measure the turbidity (NTU) of the supernatant after centrifugation; c. Calculate the volume percentage of sediment.

[0069] Resin compatibility observation: Method: Visual stratification method.

[0070] operate: a. Place the sample in a transparent glass bottle at 25°C; b. Record the position of the phase interface every 24 hours; c. Determine the time of complete stratification.

[0071] Evaluation of touch durability: Method: Manual tactile evaluation (blind test by 10 people).

[0072] operate: a. The sample was washed 10 times by standard washing procedure; b. Use a 5-level rating system (5: best touch); c. Calculate the average score.

[0073] Experimental data table: Table 3 Comparison of process parameter boundary verification data Test items Detection method Example 1 Comparative Example 3 Comparative Example 4 Comparative Example 8 Centrifugal turbidity (NTU) Turbidity meter measurement 8.2 43.7 28.5 35.1 Stratification time (days) Visual observation records ＞30 3 7 5 Touch score (after washing) Average value of 10 blind testers 4.3 2.1 3.0 2.8 Sedimentation ratio (%) Centrifuge tube scale reading 1.2 12.5 8.7 9.4 In summary, process parameter control has a decisive influence on system stability. In Example 1, moderate mechanical energy input was achieved by constraining the energy equation (1286), resulting in a centrifuged turbidity of only 8.2 NTU, confirming the stability of the dispersion. In contrast, in Comparative Example 3, exceeding the limit (4500) resulted in shear overheating and resin degradation (turbidity 43.7 NTU), confirming the necessity of setting bounds in the energy equation.

[0074] The lack of a gradient copolymerization process directly impacts material durability. Comparative Example 4, due to uneven silicone distribution caused by a single batch, experienced a drop in touch score of 3.0, with noticeable roughness after washing. This demonstrates the importance of a gradient structure in ensuring functional durability, as the segmented distribution formed through gradual polymerization resists surface wear.

[0075] The chain reaction triggered by parameter excursions was particularly pronounced in Comparative Example 8. The excessive siloxane monomer ratio (70:30) and high-temperature distillation resulted in a broadened molecular weight distribution and accelerated resin phase separation (demixing within 5 days). This experimental data demonstrates, from a thermodynamic stability perspective, that precise control of process parameters is essential for maintaining synergistic effects in multi-component systems.

[0076] Test Case 4: Process Control Mechanism Verification Experiment Description Subjects: Example 1: Standard sample with staged addition and real-time infrared monitoring; Comparison group: Comparative Example 5: Sample with pigments and fillers added at once and no viscosity feedback; Comparative Example 6: Sample with fixed treatment time and single-stage filtration.

[0077] Experimental steps: Dispersion fineness detection: Equipment: scraper fineness meter (0-50μm range).

[0078] operate: a. Take the sample and scrape it along the scraper groove at a uniform speed; b. Visually determine the particle size within 30 seconds; c. Take the maximum value from three parallel tests.

[0079] Infrared characteristic peak stability test: Method: Online infrared spectrum acquisition (5 min interval).

[0080] operate: a. Continuous monitoring at 1630cm -1 and 1720cm -1 Peak strength; b. The fluctuation range of peak intensity ratio during calculation and processing; c. Record the time required to reach the stable threshold.

[0081] Filtration pressure differential test: Equipment: Two-stage filtration system (300 mesh + 5μm).

[0082] operate: a. Record the flow rate at an initial pressure of 0.2 MPa; b. Record pressure and flow changes every 5 minutes; c. Continue testing until the pressure reaches 0.5MPa.

[0083] Experimental data table: Table 4 Comparison of process control mechanism verification data Test items Detection method Example 1 Comparative Example 5 Comparative Example 6 Maximum fineness (μm) Scraper method 14 27 21 Peak intensity ratio fluctuation (%) Infrared online monitoring ±6.3 - ±22.7 Initial flow rate (L / min) differential pressure method 2.8 1.9 2.3 Time for pressure difference to rise to 0.5MPa (min) Pressure Record 48 19 32 In summary, the staged dosing mechanism effectively optimizes the dispersion process. Example 1 achieved a controlled fineness of 14 μm through three equal dosing intervals, while Comparative Example 5, with a single dosing, resulted in 27 μm particle agglomerations, demonstrating the importance of staged shearing for pigment deagglomeration. The viscosity feedback dosing algorithm ensured that Example 1 maintained optimal rheological conditions during the dispersion process, avoiding structural damage caused by localized overload.

[0084] Real-time infrared monitoring significantly improves process consistency. The peak intensity ratio in Example 1 fluctuated by only ±6.3%, while the fixed-time treatment in Comparative Example 6 resulted in a deviation of ±22.7%, demonstrating that closed-loop control can accurately determine the reaction endpoint. Pressure differential test data further showed that the dual-stage filtration design in Example 1 extended the system operating time to 48 minutes, a 50% increase compared to Comparative Example 6, confirming the effectiveness of process control in improving production efficiency.

[0085] The filtration pressure differential curve reveals the impact of dispersion quality on subsequent processes. In Comparative Example 5, uneven dispersion led to rapid clogging of the filter material (rising to 0.5 MPa in 19 minutes), while the stable dispersion system in Example 1 reduced the filtration flux decay rate by 61%. From a systems engineering perspective, these data demonstrate the critical role of intelligent process control mechanisms in ensuring product quality and production efficiency.

[0086] Test Example 5: Environmental Adaptability Verification Experiment Description Subjects: Example 1: Standard sample using humidity compensation formula to adjust solvent amount; Comparative Example 7: A comparative sample with a fixed solvent amount (not adjusted with ambient humidity).

[0087] Experimental steps: Film formation test in high humidity environment: Equipment: Constant temperature and humidity chamber (temperature 25℃, 85%RH).

[0088] operate: a. Fix the test panel vertically in the box; b. Spray wet film thickness 150μm; c. Measure the maximum sag length after 24 hours.

[0089] Solvent residue detection: Method: Headspace gas chromatography.

[0090] operate: a. Take 1g of solidified sample and seal it in a 20mL headspace bottle; b. Heat at 90℃ for 30min and then inject; c. Calculate the total volatile organic compound content using the external standard method.

[0091] Determination of surface drying time: Equipment: Finger touch tester.

[0092] operate: a. Touch the coating surface lightly with a fingertip every 5 minutes; b. Record the shortest time without fingerprint residue; c. Take the median value from three parallel tests.

[0093] Experimental data table: Table 5 Comparison of environmental adaptability verification data In summary, the humidity compensation mechanism significantly improves the environmental adaptability of the coating. Example 1 dynamically adjusts the solvent content to maintain a sag length of 1.8 mm in a high-humidity environment. In contrast, Comparative Example 7 exhibits a 5.7 mm sag due to an imbalance in solvent evaporation rates, validating the effectiveness of the humidity-solvent balance formula. Solvent residue data further demonstrates a 57% reduction in residual content in Example 1, demonstrating that the compensation algorithm optimizes the evaporation gradient and prevents solvent trapping.

[0094] The difference in surface-free time reveals the effect of regulating volatilization dynamics. Example 1 reached surface-free in 23 minutes, 18 minutes faster than Comparative Example 7, thanks to the precise ratio of solvent composition. The significant difference in orange peel grade (0.5 vs. 2.3) demonstrates that the humidity compensation mechanism effectively suppresses the formation of Bénard cells by maintaining a suitable surface tension gradient.

[0095] Experimental data, from the perspectives of fluid dynamics and mass transfer kinetics, confirms that the environmental adaptation algorithm improves both the coating's surface quality and environmental performance. This intelligent adjustment mechanism ensures stable performance across diverse climates, resolving the environmental sensitivity challenges of traditional formulations.

[0096] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A skin-feeling excimer coating, characterized in that: Calculated by weight, it includes the following components: 50-60 parts of polyurethane dispersion; 15-25 parts of silicone modified acrylic resin; 5-10 parts of skin feel additive; 5-15 parts of inorganic pigments and fillers; 5-10 parts of solvent; 2-5 parts of functional additives, including leveling agents and defoaming agents.

2. The excimer skin-feel coating according to claim 1, characterized in that: The polyurethane dispersion is anionic, and the skin feel additive is selected from at least one of polydimethylsiloxane and polyether-modified silicone oil, and the viscosity thereof is in the range of 500-1000 mPa·s.

3. The excimer skin-feel coating according to claim 1, characterized in that: The inorganic pigment filler is a composite filler of rutile titanium dioxide or calcium carbonate and talc powder, wherein the mass ratio of the composite filler is 3:1; the solvent is an ether ester solvent, which is a mixture of propylene glycol methyl ether acetate and dipropylene glycol butyl ether, with a volume ratio of 1:

1.

4. The excimer skin-feel coating according to claim 1, characterized in that: The organosilicon-modified acrylic resin is prepared by the following steps: Monomer premixing: Mixing acrylate monomer and vinyl-containing siloxane monomer in a mass ratio of 90:10 to 80:20 to form a premixed monomer system; Gradient copolymerization: Heat the premixed monomer system to 70-90°C, add 0.5-1.5% of the total monomer mass of a free radical initiator, and control the viscosity growth rate of the reaction system to 50-100 mPa·s / h; Post-processing purification: When the reaction conversion rate reaches 95% or above, terminate the reaction and remove the unreacted monomers by molecular distillation to control the residual amount to ≤0.5%; Resin molding: The purified copolymer melt is pelletized through a twin-screw extruder, with the extrusion temperature controlled at 120-150°C and the screw speed at 80-120 rpm to obtain silicone-modified acrylic resin particles with a particle size of 2-4 mm.

5. The excimer skin-feel coating according to claim 1, characterized in that: The leveling agent is a polyacrylate compound, which accounts for 0.5-1.2% of the mass of the functional additive; the defoaming agent is an organosilicon compound, which accounts for 0.3-0.8% of the mass of the functional additive.

6. A method for preparing an excimer skin-feel coating, characterized in that: The method for preparing the excimer skin-feel coating according to any one of claims 1 to 5 comprises the following steps: S1. Base material mixing: mixing polyurethane dispersion and silicone modified acrylic resin to form a base material; S2. Dispersion of skin feel additives: adding skin feel additives to the base material and dispersing them; S3, pigment and filler time dispersion: add pigments and fillers in batches and adjust the rheological state of the system; S4. Functionalization treatment: adding functional additives and filtering to obtain the finished product.

7. The method for preparing an excimer skin-feel coating according to claim 6, wherein: In the step S2: The distributed processing satisfies the energy equation constraint, which is the product of speed and time divided by material temperature, and the calculated value is controlled within the range of 800-1200; The speed of the dispersion treatment is 800-1200 rpm, the treatment time is 0.5-1.5 h, and the material temperature is maintained at 30-40°C.

8. The method for preparing an excimer skin-feel coating according to claim 6, wherein: In the step S3: Add in batches in three equal amounts, with an interval of 10-15 minutes between adjacent batches; During the addition process, the viscosity of the system is dynamically controlled to be 2000-4000mPa·s. When the viscosity exceeds the upper limit, the solvent is automatically added. The calculation formula for the amount of solvent to be added is: Addition amount = (current viscosity value - 4000) / 1000 × 0.

5.

9. The method for preparing an excimer skin-feel coating according to claim 6, wherein: In the step S4: Functionalization treatment includes online infrared spectroscopy detection. When 1630 cm -1 The characteristic peak intensity is similar to that at 1720 cm -1 The treatment was terminated when the ratio of characteristic peak intensities reached 0.7-1.2; The filtration adopts a double-stage cascade method of 300-350 mesh coarse filtration and 4-6μm fine filtration, and the filtration pressure difference is controlled at 0.2-0.5MPa.

10. The method for preparing an excimer skin-feel coating according to claim 6, characterized in that: Also includes global controls: The cumulative process time from step S1 is ≤ 150 min, and the system is terminated when the timeout is exceeded; When the ambient humidity exceeds 70%, adjust the amount of solvent added according to the humidity compensation formula, which is as follows: Compensation amount = original solvent addition amount × [1 + 0.005 × (current humidity value - 70)].

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