Preparation method of high-temperature-resistant silk-screen printing ink based on chemical simulation optimization

Abstract

The invention relates to a preparation method of high-temperature-resistant silk-screen printing ink based on chemical simulation optimization. The preparation method comprises the following steps: (1) formula optimization: optimizing a silk-screen printing ink formula by using chemical simulation software; (2) production process control; (3) quality detection; (4) environment simulation; and (5) data collection and analysis. The method has the advantages that the whole process optimization from formula design to production control, quality detection, environmental adaptability evaluation and data analysis is realized, modeling is carried out on interaction among ink components through chemical simulation software, and the performance of ink under different conditions can be accurately predicted, so that selection and optimization of the formula are guided.

Description

Technical Field

[0001] The invention relates to a preparation method of high temperature resistant silk screen printing ink based on chemical simulation optimization, belonging to the field of ink. Background Art

[0002] Acrylic, also known as PMMA or organic glass, has the chemical name of polymethyl methacrylate, and is an important plastic polymer material that was developed earlier. Acrylic has excellent weather resistance, high surface hardness and surface gloss, and good high temperature performance. Transparent acrylic sheet has a transmittance comparable to that of glass, but its density is only half of that of glass. In addition, it is not as fragile as glass, and even if it is damaged, it will not form sharp fragments like glass. In addition, it is cheap, easy to process, simple in process, and low in cost. Therefore, acrylic materials are widely used in electronic products, instrument parts, automobile lights, optical lenses, and construction industries.

[0003] Acrylic sheets have good properties of being easy to print. With appropriate printing processes, acrylic products can be given ideal surface decoration effects. However, due to the physical properties of acrylic materials, it is necessary to meet the color saturation of the printed coating film thickness and the appearance and size matching requirements after the acrylic is bent. How to avoid these two contradictions, so that conventional inks are easy to crack after high-temperature baking and acrylic bending, and the printed coating is too thick and will also crack during high-temperature forming and is easily soluble in a variety of organic solvents.

[0004] The traditional method of preparing high temperature resistant screen printing ink mainly relies on the experience and intuition of technicians. Although this method was able to meet certain market needs in the past, its limitations are becoming increasingly prominent in the current rapidly developing scientific and technological context, mainly in the following aspects:

[0005] Long R&D cycle: Due to the lack of systematic theoretical guidance and scientific calculations, traditional methods often require a lot of trial and error to find the best ink formula. This is not only time-consuming and laborious, but also largely limits the speed of new product development and cannot quickly respond to market changes and technological advances.

[0006] High cost: Frequent experiments not only consume a lot of raw materials, but also increase labor costs. In addition, since the results of each experiment are uncertain, it may lead to waste of resources, especially when looking for inks with specific properties. This waste is more serious.

[0007] Unstable performance: Experience-based methods cannot guarantee that the ink produced each time has the same performance. Even small differences in raw materials or process changes may lead to fluctuations in the quality of the final product, which is unacceptable for industrial applications that require high consistency. Summary of the invention

[0008] In order to overcome the defects of the prior art, the present invention provides a method for preparing a high temperature resistant screen printing ink based on chemical simulation optimization. The technical solution of the present invention is:

[0009] A method for preparing a high temperature resistant screen printing ink based on chemical simulation optimization comprises the following steps:

[0010] (1) Formulation optimization: Use chemical simulation software to optimize the screen printing ink formula and predict the performance of the ink by simulating the interaction of different ingredients;

[0011] (2) Production process control: Use automated control system software to monitor and adjust production parameters to ensure consistency and stability of product quality;

[0012] (3) Quality inspection: Use quality inspection software to analyze the printing quality of ink;

[0013] (4) Environmental simulation: Use environmental simulation software to test the performance of ink under different environmental conditions and evaluate its durability and stability;

[0014] (5) Data collection and analysis: Collect data during the production and printing process, and use data analysis software to optimize the process.

[0015] The step (1) is specifically as follows:

[0016] 1.1 Use chemical simulation software to establish a mathematical model of the ink formula, the components of which include resin, pigment, solvent and additives;

[0017] Calculate the compatibility of pigment and resin: Where ΔH sol is the heat of solution, V is the molar volume, Δ∈ is the difference in solvation energy, R is the radius of the pigment particle, Δ is the difference in surface tension, and v is the molar volume;

[0018] 1.2 Prepare ink samples according to the chemical simulation results;

[0019] 1.3 Evaluate the high temperature resistance of ink: Among them, T d is the decomposition temperature, T i is the initial temperature, W0 is the initial weight, W t is the weight at a certain moment, W f is the final weight.

[0020] The step (2) is specifically as follows:

[0021] 2.1 Define the key production parameters that need to be monitored and set thresholds for each parameter to ensure product quality;

[0022] 2.2 Real-time data collection: use sensors to collect production data in real time and transmit the data to the control system through the data acquisition system;

[0023] 2.3 Display all key parameters in real time on the control room screen and use statistical process control methods to analyze parameter change trends;

[0024] 2.4 Implementation of automatic control algorithm: Implement proportional-integral-differential control algorithm to automatically adjust production parameters.

[0025]

[0026] u(t) is the control output at time t; Kp is the proportional gain; Ki is the integral gain;

[0027] Kd is the differential gain; e(t) is the deviation at time t, calculated as the difference between the set value and the actual value; is the integral of the deviation, from 0 to time t; is the rate of change of the deviation, i.e., the derivative of the deviation with respect to time;

[0028] 2.5 Quality control model, use control chart to monitor the stability of production process, control chart includes upper control limit UCL, lower control limit LCL and center line CL, CL = μ; UCL = μ + 3σ; LCL = μ - 3σ, where: μ is the mean value of the process; σ is the standard deviation of the process;

[0029] 2.6 Evaluate the ability of the production process to meet quality standards. The process capability index Cp and process performance index Pp are measurement indicators. in:

[0030] USL is the upper specification limit, LSL is the lower specification limit, and σ is the population standard deviation; σ 过程 is the process standard deviation;

[0031] 2.7 Feedback adjustment: According to the output of the quality control model, the production parameters are adjusted to optimize product quality, Δ parameter = f (quality feedback), where: Δ parameter is the adjustment amount of the production parameters; f is the function that determines the adjustment amount based on quality feedback.

[0032] The step (3) is specifically as follows:

[0033] 3.1 Color accuracy detection:

[0034] Color difference calculation: Use CIELAB color space to calculate the color difference ΔE*ab between the ink color and the standard color sample.

[0035]

[0036] L* is the brightness channel; a* and b* are the chrominance channels;

[0037] Sample means sample value, standard means standard value;

[0038] 3.2 Adhesion test:

[0039] Tape Test: Perform a tape test to evaluate the adhesion of ink on different surfaces;

[0040] The grades range from 0 to 4, where 0 means no attachment and 4 means full attachment;

[0041] 3.3 Durability assessment

[0042] Accelerated aging test: The ink samples are placed in ultraviolet light, high temperature, high humidity and other environments for accelerated aging test.

[0043] Performance decay model: Use the Arrhenius equation to predict the performance decay rate of ink at different temperatures. Where: k is the reaction rate constant;

[0044] A is the frequency factor; Ea is the activation energy, R is the universal gas constant, and T is the absolute temperature.

[0045] The step (4) is specifically as follows:

[0046] 4.1 Define simulation goals:

[0047] Determine the test parameters: According to the application scenario of the ink, determine the simulated environmental factors, temperature, humidity, and light;

[0048] Set performance indicators: define performance indicators to evaluate ink durability and stability, color change, gloss, adhesion;

[0049] 4.2 Configure the simulation environment:

[0050] Choosing simulation software: Choose software that can simulate a variety of environmental conditions;

[0051] Set environmental parameters: Enter environmental parameters such as temperature range, humidity level, and light intensity into the simulation software;

[0052] 4.3 Establishing ink model

[0053] Input chemical composition: Input the chemical composition and proportion of the ink into the simulation software;

[0054] 4.4 Conduct simulation test

[0055] Simulate the effects of different environmental conditions on ink performance.

[0056] Simulation time setting: set the duration of simulation to simulate the effect of long-term use;

[0057] 4.5 Data Collection and Analysis

[0058] Collect simulation data: Collect data on ink performance changes during the simulation process;

[0059] Performance trend analysis: Analyze data and identify performance change trends;

[0060] 4.6 Performance Evaluation

[0061] Durability evaluation: Evaluate the durability of ink in a simulated environment;

[0062] Stability assessment: Evaluate the chemical and physical stability of the ink.

[0063] The step 4.3 is specifically as follows:

[0064] Molecular dynamics simulation: Use molecular dynamics simulation to predict molecular interactions and motion behaviors. Where F is the force acting on the molecule and U is the potential energy of the system;

[0065] Rheological model: Select a rheological model to describe the rheological properties of the ink. where τ is the shear stress, η0 is the zero shear viscosity, is the shear rate, λ and n are model parameters;

[0066] Simulate the optical properties of ink and use optical models to predict the color and gloss of ink after drying;

[0067] L * =116f(Y / Y n )-16, where L* is the lightness, Y is the chromaticity value of the sample, and Yn is the chromaticity value of the reference white;

[0068] Simulate the curing and drying process of ink: Establish a curing kinetics model to describe the curing process of ink. Where α is the degree of cure, k is the reaction rate constant, Ea is the activation energy, R is the gas constant, and T is the temperature.

[0069] The resin is used as the main component of the ink, and the weight portion of the resin is 25-35 parts;

[0070] The pigment imparts color to the ink, and the weight portion of the pigment is 10-30 parts;

[0071] The solvent is used to adjust the viscosity and drying speed of the ink, and the weight portion of the solvent is 15-25 parts;

[0072] The additive is a defoamer, and the weight portion of the defoamer is 1-2 parts.

[0073] The advantages of the present invention are:

[0074] The whole process from formula design to production control, quality inspection, environmental adaptability assessment and data analysis has been optimized. The main advantages of this solution are as follows:

[0075] 1. Formula optimization: By modeling the interactions between ink components through chemical simulation software, the performance of ink under different conditions can be accurately predicted, thus guiding the selection and optimization of the formula.

[0076] Efficient screening: Virtual experiments reduce the number of actual trial and error, greatly speeding up the development of new products and reducing R&D costs.

[0077] 2. Use automated control system software to monitor and adjust production parameters in real time to ensure the quality consistency of each batch of ink, thereby improving production reliability and efficiency.

[0078] Strong flexibility: The system can flexibly adjust process parameters according to different production requirements and adapt to the production mode of multiple varieties and small batches.

[0079] 3. The quality inspection software can be used to comprehensively analyze the various performance indicators of ink to ensure that the product meets high standards.

[0080] Instant feedback: The test results can be immediately fed back to the production control system to adjust the production process in time to avoid the production of defective products. DETAILED DESCRIPTION

[0081] The present invention will be further described below in conjunction with specific embodiments, and the advantages and features of the present invention will become clearer as the description proceeds. However, these embodiments are exemplary only and do not constitute any limitation to the scope of the present invention. It should be understood by those skilled in the art that the details and forms of the technical solution of the present invention may be modified or replaced without departing from the spirit and scope of the present invention, but these modifications and replacements all fall within the scope of protection of the present invention.

[0082] The present invention relates to a method for preparing a high temperature resistant screen printing ink based on chemical simulation optimization, comprising the following steps:

[0083] (1) Formulation optimization: Use chemical simulation software to optimize the screen printing ink formula and predict the performance of the ink by simulating the interaction of different ingredients;

[0084] (2) Production process control: Use automated control system software to monitor and adjust production parameters to ensure consistency and stability of product quality;

[0085] (3) Quality inspection: Use quality inspection software to analyze the printing quality of ink, including color accuracy, adhesion, durability, etc.

[0086] (4) Environmental simulation: Use environmental simulation software to test the performance of ink under different environmental conditions and evaluate its durability and stability;

[0087] (5) Data collection and analysis: Collect data during the production and printing process, and use data analysis software to optimize the process.

[0088] Based on the above solution settings, we have achieved:

[0089] Improve efficiency and accuracy: The use of chemical simulation software can predict ink performance before experiments, reducing the cost of trial and error in actual production.

[0090] Ensure quality consistency: The automated control system ensures the consistency and stability of parameters during the production process, thereby ensuring product quality.

[0091] Improve product quality: Analyze the printing quality of inks through quality inspection software, including key indicators such as color accuracy, adhesion, and durability.

[0092] Enhance ink performance: Environmental simulation software tests ink performance under different environmental conditions to ensure durability and stability.

[0093] The step (1) is specifically as follows:

[0094] 1.1 Use chemical simulation software, such as Material Studio, to build a mathematical model of the ink formula, which includes components such as resin, pigment, solvent and additives;

[0095] Calculate the compatibility of pigment and resin: Where ΔH sol is the heat of solution, V is the molar volume, Δ∈ is the difference in solvation energy, R is the radius of the pigment particle, Δ is the difference in surface tension, and v is the molar volume;

[0096] 1.2 Prepare ink samples according to the chemical simulation results;

[0097] 1.3 Evaluate the high temperature resistance of ink: Among them, T d is the decomposition temperature, T i is the initial temperature, W0 is the initial weight, W t is the weight at a certain moment, W f is the final weight.

[0098] For example, use Material Studio software to build a mathematical model and calculate the compatibility of pigment and resin. Assume that the calculated compatibility index is 0.8, indicating that the pigment and resin have good compatibility.

[0099] Next, based on the simulation results, we prepared ink samples. Under laboratory conditions, we tested the samples for high temperature resistance. Through TGA analysis, we found that the decomposition temperature of the ink was 350°C, the initial temperature was 25°C, the weight at a certain moment was 95%, and the final weight was 90%.

[0100] According to the above formula, we can calculate the high temperature resistance of the ink. Assuming that at a certain moment, the weight of the ink is reduced by 5%, we can calculate the decomposition temperature as:

[0101]

[0102] This shows that the ink starts to decompose at 300°C, showing good high temperature resistance. With this method, we can optimize the ink formulation to improve its high temperature resistance to meet specific application needs.

[0103] The step (2) is specifically as follows:

[0104] 2.1 Define the key production parameters that need to be monitored, such as temperature, pressure, and flow; set thresholds for each parameter to ensure product quality;

[0105] 2.2 Real-time data collection, using sensors to collect production data in real time, and transmitting the data to the control system through the data acquisition system (SCADA);

[0106] 2.3 Display all key parameters in real time on the control room screen and use statistical process control methods to analyze parameter change trends;

[0107] 2.4 Automatic control algorithm implementation: Implement proportional-integral-differential (PID) control algorithm to automatically adjust production parameters.

[0108]

[0109] u(t) is the control output at time t; Kp is the proportional gain; Ki is the integral gain;

[0110] Kd is the differential gain; e(t) is the deviation at time t, calculated as the difference between the set value and the actual value; is the integral of the deviation, from 0 to time t; is the rate of change of the deviation, i.e., the derivative of the deviation with respect to time;

[0111] 2.5 Quality control model, use control chart to monitor the stability of production process, control chart includes upper control limit UCL, lower control limit LCL and center line CL, CL = μ; UCL = μ + 3σ; LCL = μ - 3σ, where: μ is the mean value of the process; σ is the standard deviation of the process;

[0112] 2.6 Evaluate the ability of the production process to meet quality standards. The process capability index Cp and process performance index Pp are measurement indicators. in:

[0113] USL is the upper specification limit, LSL is the lower specification limit, and σ is the population standard deviation; σ 过程 is the process standard deviation;

[0114] 2.7 Feedback adjustment: According to the output of the quality control model, the production parameters are adjusted to optimize product quality, Δ parameter = f (quality feedback), where: Δ parameter is the adjustment amount of the production parameters; f is the function that determines the adjustment amount based on quality feedback.

[0115] Advantages of this step:

[0116] Improve production efficiency: Through real-time data collection and automatic control algorithms, it can quickly respond to changes in the production process, reduce manual intervention, and improve production efficiency.

[0117] Ensure product quality consistency: Set thresholds for key production parameters and monitor them in real time to ensure that the production process is always under control, thereby ensuring consistent product quality.

[0118] Reduce waste: Automated control systems can accurately control the production process and reduce material waste caused by human operating errors or equipment failures.

[0119] Improve process transparency: Real-time display of all key parameters and use of statistical process control methods to analyze parameter change trends increase the transparency of the production process and facilitate management and operators to understand the production status.

[0120] Take an example to illustrate the production process control of a high temperature resistant screen printing ink:

[0121] 2.1 Define key production parameters:

[0122] Temperature: Set the threshold to 180±5℃ to ensure the chemical reaction temperature of the ink.

[0123] Pressure: Set the threshold to 0.5±0.1MPa to ensure uniform mixing of the ink.

[0124] Flow rate: Set the threshold to 20±2L / h to control the speed of adding raw materials.

[0125] 2.2 Real-time data collection:

[0126] Use temperature sensors, pressure sensors, and flow sensors to collect data in real time.

[0127] The data is transmitted to the central control system via the SCADA system.

[0128] 2.3 Real-time display and trend analysis:

[0129] The real-time values ​​of temperature, pressure and flow are displayed on the control room screen.

[0130] Use statistical process control methods (such as control charts) to analyze parameter trends.

[0131] 2.4 Automatic control algorithm implementation:

[0132] Implement a PID control algorithm, for example, if the temperature deviation e(t) is positive, the control system will reduce the heating power.

[0133] 2.5 Quality Control Model:

[0134] Use control charts to monitor the stability of the production process. For example, if the temperature control chart has UCL=185℃, LCL=175℃, and CL=180℃, then Cp=1.67; Pp=1.33.

[0135] 2.7 Feedback Adjustment:

[0136] If the process capability index Cp is less than 1.67 or the process performance index Pp is less than 1.33, it indicates that the process may not meet the quality standards.

[0137] Based on the output of the quality control model, production parameters are adjusted, such as adjusting the heating power or adjusting the raw material addition rate.

[0138] The step (3) is specifically as follows:

[0139] 3.1 Color accuracy detection:

[0140] Color difference calculation: Use CIELAB color space to calculate the color difference ΔE*ab between the ink color and the standard color sample.

[0141]

[0142] L* is the brightness channel; a* and b* are the chrominance channels;

[0143] Sample means sample value, standard means standard value;

[0144] 3.2 Adhesion test:

[0145] Tape test: Perform a tape test (such as the 3M tape test) to evaluate the adhesion of ink on different surfaces;

[0146] The grades range from 0 to 4, where 0 means no attachment and 4 means full attachment;

[0147] 3.3 Durability assessment

[0148] Accelerated aging test: The ink samples are placed in ultraviolet light, high temperature, high humidity and other environments for accelerated aging test.

[0149] Performance decay model: Use the Arrhenius equation to predict the performance decay rate of ink at different temperatures. Where: k is the reaction rate constant;

[0150] A is the frequency factor; Ea is the activation energy, R is the universal gas constant, and T is the absolute temperature.

[0151] Based on the above steps, we have achieved:

[0152] Color accuracy detection:

[0153] Precise color control: Using the CIELAB color space, color differences can be precisely quantified to ensure that ink colors are consistent with standard color samples.

[0154] Facilitates quality control: Calculation of color difference ΔE*ab provides an objective metric for quality control, helping to quickly identify and adjust color deviations.

[0155] Adhesion test:

[0156] Reliability verification: The tape test is a simple and effective method to verify the adhesion of ink on different surfaces and ensure the reliability of the product in actual use.

[0157] Standardized evaluation: The adhesion evaluation process can be standardized through a grading system, making it easier to compare the performance of different ink samples.

[0158] Durability Assessment:

[0159] Predicting performance: Accelerated aging tests can simulate long-term aging processes in a shorter period of time and predict the durability of inks in actual environments.

[0160] Scientific decision-making: Performance decay models such as the Arrhenius equation provide a scientific method to evaluate and compare the durability of different inks, helping to make more reasonable production and material selection decisions.

[0161] The step (4) provides an efficient, flexible and comprehensive method to evaluate the performance of ink under different environmental conditions through simulation testing, which helps to optimize the product and reduce the actual testing cost, specifically:

[0162] 4.1 Define simulation goals:

[0163] Determine the test parameters: According to the application scenario of the ink, determine the simulated environmental factors, temperature, humidity, and light;

[0164] Set performance indicators: define performance indicators to evaluate ink durability and stability, color change, gloss, adhesion;

[0165] 4.2 Configure the simulation environment:

[0166] Choose simulation software: Choose software that can simulate a variety of environmental conditions; such as ANSYS Fluent, ABAQUS or other environmental simulation software.

[0167] Set environmental parameters: Enter environmental parameters such as temperature range, humidity level, and light intensity into the simulation software;

[0168] 4.3 Establishing ink model

[0169] Input chemical composition: Input the chemical composition and proportion of the ink into the simulation software;

[0170] 4.4 Conduct simulation test

[0171] Simulate the effects of different environmental conditions (such as temperature, humidity, and light) on ink performance.

[0172] Simulation time setting: set the duration of simulation to simulate the effect of long-term use;

[0173] 4.5 Data Collection and Analysis

[0174] Collect simulation data: Collect data on ink performance changes during the simulation process;

[0175] Performance trend analysis: Analyze data and identify performance change trends;

[0176] 4.6 Performance Evaluation

[0177] Durability evaluation: Evaluate the durability of ink in a simulated environment;

[0178] Stability assessment: Evaluate the chemical and physical stability of the ink.

[0179] The step 4.3 is specifically as follows:

[0180] Molecular dynamics simulation: Use molecular dynamics simulation to predict molecular interactions and motion behaviors. Where F is the force acting on the molecule and U is the potential energy of the system;

[0181] Rheological model: Select a rheological model (such as Cross model, Carreau model) to describe the rheological properties of the ink. where τ is the shear stress, η0 is the zero shear viscosity, is the shear rate, λ and n are model parameters;

[0182] Simulate the optical properties of ink and use optical models to predict the color and gloss of ink after drying;

[0183] L * =116f(Y / Y n )-16, where L* is the lightness, Y is the chromaticity value of the sample, and Yn is the chromaticity value of the reference white;

[0184] Simulate the curing and drying process of ink: Establish a curing kinetics model to describe the curing process of ink. Where α is the degree of cure, k is the reaction rate constant, Ea is the activation energy, R is the gas constant, and T is the temperature.

[0185] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A method for preparing a high temperature resistant screen printing ink based on chemical simulation optimization, characterized in that: The following steps are involved: (1) Formulation optimization: Use chemical simulation software to optimize the screen printing ink formula and predict the performance of the ink by simulating the interaction of different ingredients; (2) Production process control: Use automated control system software to monitor and adjust production parameters to ensure consistency and stability of product quality; (3) Quality inspection: Use quality inspection software to analyze the printing quality of ink; (4) Environmental simulation: Use environmental simulation software to test the performance of ink under different environmental conditions and evaluate its durability and stability; (5) Data collection and analysis: Collect data during the production and printing process, and use data analysis software to optimize the process.

2. The method for preparing a high temperature resistant screen printing ink based on chemical simulation optimization according to claim 1, characterized in that: The step (1) is specifically as follows: 1.1 Use chemical simulation software to establish a mathematical model of the ink formula, the components of which include resin, pigment, solvent and additives; Calculate the compatibility of pigment and resin: Where ΔH sol is the heat of solution, V is the molar volume, Δ∈ is the difference in solvation energy, R is the radius of the pigment particle, Δ is the difference in surface tension, and v is the molar volume; 1.2 Prepare ink samples according to the chemical simulation results; 1.3 Evaluate the high temperature resistance of ink: Among them, T d is the decomposition temperature, T i is the initial temperature, W0 is the initial weight, W t is the weight at a certain moment, W f is the final weight.

3. The method for preparing a high temperature resistant screen printing ink based on chemical simulation optimization according to claim 1 or 2, characterized in that: The step (2) is specifically as follows: 2.1 Define the key production parameters that need to be monitored and set thresholds for each parameter to ensure product quality; 2.2 Real-time data collection: use sensors to collect production data in real time and transmit the data to the control system through the data acquisition system; 2.3 Display all key parameters in real time on the control room screen and use statistical process control methods to analyze parameter change trends; 2.4 Implementation of automatic control algorithm: Implement proportional-integral-differential control algorithm to automatically adjust production parameters. u(t) is the control output at time t; Kp is the proportional gain; Ki is the integral gain; Kd is the differential gain; e(t) is the deviation at time t, calculated as the difference between the set value and the actual value; is the integral of the deviation, from 0 to time t; is the rate of change of the deviation, i.e., the derivative of the deviation with respect to time; 2.5 Quality control model, use control chart to monitor the stability of production process, control chart includes upper control limit UCL, lower control limit LCL and center line CL, CL = μ; UCL = μ + 3σ; LCL = μ - 3σ, where: μ is the mean value of the process; σ is the standard deviation of the process; 2.6 Evaluate the ability of the production process to meet quality standards. The process capability index Cp and process performance index Pp are measurement indicators. in: USL is the upper specification limit, LSL is the lower specification limit, and σ is the population standard deviation; σ 过程 is the process standard deviation; 2.7 Feedback adjustment: According to the output of the quality control model, the production parameters are adjusted to optimize product quality, Δ parameter = f (quality feedback), where: Δ parameter is the adjustment amount of the production parameters; f is the function that determines the adjustment amount based on quality feedback.

4. The method for preparing a high temperature resistant screen printing ink based on chemical simulation optimization according to claim 1 or 2, characterized in that the step (3) is specifically: 3.1 Color accuracy detection: Color difference calculation: Use CIELAB color space to calculate the color difference ΔE*ab between the ink color and the standard color sample. L* is the brightness channel; a* and b* are the chrominance channels; Sample means sample value, standard means standard value; 3.2 Adhesion test: Tape Test: Perform a tape test to evaluate the adhesion of ink on different surfaces; The grades range from 0 to 4, where 0 means no attachment and 4 means full attachment; 3.3 Durability assessment Accelerated aging test: The ink samples are placed in ultraviolet light, high temperature, high humidity and other environments for accelerated aging test. Performance decay model: Use the Arrhenius equation to predict the performance decay rate of ink at different temperatures. Where: k is the reaction rate constant; A is the frequency factor; Ea is the activation energy, R is the universal gas constant, and T is the absolute temperature.

5. The method for preparing a high temperature resistant screen printing ink based on chemical simulation optimization according to claim 1 or 2, characterized in that the step (4) is specifically: 4.1 Define simulation goals: Determine the test parameters: According to the application scenario of the ink, determine the simulated environmental factors, temperature, humidity, and light; Set performance indicators: define performance indicators to evaluate ink durability and stability, color change, gloss, adhesion; 4.2 Configure the simulation environment: Choosing simulation software: Choose software that can simulate a variety of environmental conditions; Set environmental parameters: Enter environmental parameters such as temperature range, humidity level, and light intensity into the simulation software; 4.3 Establishing ink model Input chemical composition: Input the chemical composition and proportion of the ink into the simulation software; 4.4 Conduct simulation test Simulate the effects of different environmental conditions on ink performance. Simulation time setting: set the duration of simulation to simulate the effect of long-term use; 4.5 Data Collection and Analysis Collect simulation data: Collect data on ink performance changes during the simulation process; Performance trend analysis: Analyze data and identify performance change trends; 4.6 Performance Evaluation Durability evaluation: Evaluate the durability of ink in a simulated environment; Stability assessment: Evaluate the chemical and physical stability of the ink.

6. The method for preparing a high temperature resistant screen printing ink based on chemical simulation optimization according to claim 1 or 2, characterized in that: The step 4.3 is specifically as follows: Molecular dynamics simulation: Use molecular dynamics simulation to predict molecular interactions and motion behaviors. Where F is the force acting on the molecule and U is the potential energy of the system; Rheological model: Select a rheological model to describe the rheological properties of the ink. where τ is the shear stress, η0 is the zero shear viscosity, is the shear rate, λ and n are model parameters; Simulate the optical properties of ink and use optical models to predict the color and gloss of ink after drying; L * =116f(Y / Yn)-16, where L* is the brightness, Y is the chromaticity value of the sample, and Yn is the chromaticity value of the reference white; Simulate the curing and drying process of ink: Establish a curing kinetics model to describe the curing process of ink. Where α is the degree of cure, k is the reaction rate constant, Ea is the activation energy, R is the gas constant, and T is the temperature.

7. The method for preparing a high temperature resistant screen printing ink based on chemical simulation optimization according to claim 1 or 2, characterized in that: The ink comprises the following components in parts by weight, wherein the resin is the main component of the ink, and the weight of the resin is 25-35 parts; The pigment imparts color to the ink, and the weight portion of the pigment is 10-30 parts; The solvent is used to adjust the viscosity and drying speed of the ink, and the weight portion of the solvent is 15-25 parts; The additive is a defoamer, and the weight portion of the defoamer is 1-2 parts.

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