Optical film electromagnetic heating embossing system

Abstract

The present application relates to the technical field of optical film processing, and discloses an optical film electromagnetic heating embossing system, which comprises an electromagnetic heat coupling module, an optical microstructure monitoring module, an embossing dynamic execution module and an intelligent decision control module; the system is also integrated with a self-optimization feedback unit; by constructing a non-contact energy field, high-frequency alternating magnetic field induced eddy current heat, infrared radiation and medium conduction heat are fused to realize gradient temperature control in the thickness direction and the width direction of the film material, generate a thermodynamic environment suitable for the embossing process, avoid film material deformation caused by local overheating and temperature gradient, and ensure the uniformity and stability of the thermodynamic state of the film material before embossing; by capturing the micro-topography features and optical performance parameters of the film material surface in real time, the embossing force and boundary conditions are adjusted adaptively according to the monitoring data to inhibit microstructure distortion caused by thermal shrinkage and improve microstructure forming precision and optical performance consistency.

Description

Technical Field

[0001] This invention relates to the field of optical film processing technology, specifically to an optical film electromagnetic heating embossing system. Background Technology

[0002] Optical films are optical materials composed of thin-layer media. They control the reflection, transmission, and polarization characteristics of light beams through interfaces and belong to optical medium materials. Their core components include reflective films, anti-reflective films, and polarizing films. Optical films have a wide range of applications, including eyeglass coatings, liquid crystal displays for mobile phones, computers, and televisions, as well as LED lighting.

[0003] Currently, since optical film embossing requires both multi-physical field coupling control and precise microstructure forming, traditional systems often use contact heat conduction or single heat source heating when implementing electromagnetic heating embossing processes. It is difficult to construct a gradient temperature control system in the thickness and width directions of the film material, and insufficient uniformity and stability of the thermal field can easily lead to deformation of the film material.

[0004] Therefore, an optical film electromagnetic heating embossing system is proposed to solve the above problems. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides an optical film electromagnetic heating embossing system, which solves the problems mentioned in the background art, such as the difficulty in constructing a gradient temperature control system in the thickness and width directions of the film material, and the insufficient uniformity and stability of the thermal field, which easily leads to film deformation.

[0006] To achieve the above objectives, the present invention provides the following technical solution: an optical film electromagnetic heating embossing system, the system comprising an electromagnetic thermodynamic coupling module, an optical microstructure monitoring module, an embossing dynamic execution module, and an intelligent decision control module;

[0007] The electromagnetic thermodynamic coupling module is used to construct a non-contact energy field. It induces eddy current heat in the conductive layer of the optical film through a high-frequency alternating magnetic field, and simultaneously integrates infrared radiation and dielectric conduction heat to achieve gradient temperature control in the thickness and width directions of the film material, thereby generating a thermodynamic environment suitable for the embossing process.

[0008] The optical microstructure monitoring module is used to capture the microscopic morphology features and optical performance parameters of the film surface in real time during the embossing process. It obtains data on the geometric accuracy of the microstructure, the uniformity of light transmittance, and the stress distribution through multi-dimensional sensing technology, and identifies microstructure forming defects.

[0009] The dynamic embossing execution module is used to adaptively adjust the embossing force and boundary conditions based on monitoring data, including dynamic distribution of pressure field, real-time compensation of mold gap and coordinated control of cooling rate, to suppress microstructure distortion caused by thermal shrinkage.

[0010] The intelligent decision control module is used to coordinate the operation sequence and parameter coordination of each module in the system, receive multi-source monitoring data and establish a thermodynamic and structural forming mapping model, dynamically optimize electromagnetic thermodynamic coupling parameters and embossing execution strategy according to preset microstructure quality indicators, and provide a process scheme configuration interface to support the visual editing of embossing parameters of multi-specification optical films and full life cycle data traceability.

[0011] The system also integrates a self-optimizing feedback unit, which is used to trigger the self-correction of process parameters when the microstructure precision is out of tolerance or thermodynamic imbalance occurs, and to record the data of the entire embossing process to support process iteration and upgrading.

[0012] Preferably, the electromagnetic thermodynamic coupling module includes an energy field generating unit, a temperature field regulating unit, and a thermal balance maintaining unit;

[0013] The energy field generating unit generates a high-frequency alternating magnetic field through multiple sets of variable frequency resonant circuits, and uses the magnetic field penetration characteristics to realize the volume heating of the conductive layer inside the optical film, and synchronously couples the asymmetric infrared radiation component to compensate for the heat loss on the film surface.

[0014] The temperature field control unit is used to construct a three-dimensional temperature field distribution according to the optical film material characteristics and the complexity of the embossing pattern, and supports the configuration of gradient temperature control strategies along the film material transmission direction, width direction and thickness direction.

[0015] The thermal balance maintenance unit eliminates edge heat dissipation effect through a dynamic heat flux density feedback mechanism, avoiding local overheating and membrane deformation caused by temperature gradients.

[0016] Preferably, the energy field generating unit also integrates a magnetic field focusing component, which guides the distribution of magnetic lines of force through an array of magnetically permeable conductive media for selective heating of the embossing area;

[0017] The temperature field control unit includes a zoned independent temperature control subunit, which divides the embossing area into a single independent thermodynamic control zone. Each zone supports independent configuration of heating rate, holding time and cooling slope.

[0018] The thermal balance maintenance unit is equipped with a thermal inertia compensation mechanism, which dynamically adjusts the energy output density according to the membrane material transmission speed to offset the heat accumulation fluctuations caused by changes in production cycle.

[0019] Preferably, the optical microstructure monitoring module includes a micromorphology sensing unit, an optical performance acquisition unit, and a quality trend analysis unit;

[0020] The micromorphological sensing unit consists of non-contact contour sensing components distributed at the front and rear stations of embossing, used to acquire three-dimensional morphological data of microstructure depth, sidewall angle and periodic uniformity.

[0021] The optical performance acquisition unit is used to detect the transmittance, haze, and polarization characteristics of the embossed film material in real time, and to establish the correlation between microstructure and optical performance.

[0022] The quality trend analysis unit evaluates the microstructure accuracy in real time based on the molding quality prediction model, identifies defect types such as dimensional deviation, edge collapse and insufficient filling, and predicts the quality evolution trend.

[0023] Preferably, the micromorphological sensing unit adopts a multi-view collaborative sensing architecture, which covers the full surface features of the microstructure through contour scanning at different incident angles;

[0024] The optical performance acquisition unit integrates dynamic spectral analysis function, which performs full-band optical characteristic scanning under continuous operation of the membrane material to eliminate ambient light interference.

[0025] The quality trend analysis unit uses a time-series evolution algorithm to provide early warnings of batch quality risks and pinpoint the source of process deviations by comparing and analyzing historical microstructure data with the current forming state.

[0026] Preferably, the embossing dynamic execution module includes a pressure field control unit, a mold adaptive unit, and a cooling coordination unit;

[0027] The pressure field control unit achieves pressure gradient distribution control in the embossing area through a distributed actuation mechanism, supporting dynamic switching between constant pressure, gradual pressure, and pulse pressure modes.

[0028] The mold adaptive unit is used to adjust the contact gap between the mold and the film material in real time based on the microstructure morphology feedback, so as to compensate for the fit deviation caused by thermal expansion.

[0029] The cooling synergy unit achieves gradient cooling of the embossed film material through multi-stage temperature-controlled flow channels, suppressing internal stress concentration and optical performance degradation caused by rapid cooling.

[0030] Preferably, the pressure field control unit automatically matches the pressure load according to the area and depth of the microstructure to avoid membrane material damage caused by local overload;

[0031] The mold adaptive unit is equipped with a displacement compensation mechanism, which dynamically adjusts the mold posture through real-time deformation feedback to maintain uniform contact pressure on the embossing interface.

[0032] The cooling coordination unit supports the coordinated optimization of cooling rate and temperature gradient, and configures a stepped cooling curve according to the characteristics of the membrane material to balance molding efficiency and internal stress release requirements.

[0033] Preferably, the intelligent decision control module includes a process scheduling unit, a digital twin unit, and a human-machine collaboration unit;

[0034] The process scheduling unit is used to coordinate the runtime sequence of electromagnetic thermo-coupling, microstructure monitoring and embossing execution, and is used for dynamic synchronization and resource optimization of multiple modules.

[0035] The digital twin unit constructs a virtual simulation model that includes thermodynamic field, structural field and flow field, and drives the model update through real-time data to predict the microstructure forming quality under different process parameters;

[0036] The human-machine collaboration unit provides an immersive process configuration interface, supports virtual trial and error and parameter optimization, and is used to shift process decision-making from experience-driven to data-driven.

[0037] Preferably, the process scheduling unit adopts an event-driven architecture, which dynamically reconstructs the process flow based on membrane material specification switching, quality anomaly alarms, and equipment status changes, supporting the changeover of multi-variety mixed-line production.

[0038] The digital twin unit integrates a self-learning optimization algorithm, which automatically corrects model parameters to improve prediction accuracy by analyzing the deviation between actual production data and simulation results.

[0039] The digital twin unit also calculates the process capability index by comparing the deviation between real-time molding quality data and the target quality range, combined with the fluctuation range of thermodynamic parameters. When the index is lower than a preset threshold, it automatically triggers the parameter optimization process to generate the optimal process adjustment scheme.

[0040] Preferably, the self-optimization feedback unit includes a defect tracing subunit and a process evolution subunit;

[0041] The defect tracing subunit locates the root cause of defects by analyzing the correlation between microstructural defect characteristics and thermodynamic and mechanical parameters, and establishes a knowledge base mapping defect patterns and process parameters.

[0042] The process evolution subunit is used to store all production process data, extract the optimal combination of process parameters through data mining, and support automatic recommendation and optimization of process schemes based on optical film material, thickness and microstructure type.

[0043] Compared with the prior art, the present invention provides an optical film electromagnetic heating embossing system, which has the following beneficial effects:

[0044] 1. In this invention, by constructing a non-contact energy field, integrating high-frequency alternating magnetic field-induced eddy current heat, infrared radiation and medium conduction heat, gradient temperature control in the thickness and width directions of the membrane material is achieved, generating a thermodynamic environment suitable for the embossing process, avoiding local overheating and membrane material deformation caused by temperature gradients, and ensuring the uniformity and stability of the thermodynamic state of the membrane material before embossing.

[0045] 2. In this invention, by capturing the microscopic morphology features and optical performance parameters of the membrane surface in real time, data on the geometric accuracy of the microstructure, the uniformity of light transmittance, and the stress distribution are obtained, and microstructure forming defects are identified. At the same time, based on the monitoring data, the embossing force and boundary conditions are adaptively adjusted, including dynamic distribution of the pressure field, real-time compensation of the mold gap, and coordinated control of the cooling rate, to suppress microstructure distortion caused by thermal shrinkage and improve the microstructure forming accuracy and optical performance consistency.

[0046] 3. In this invention, by coordinating the runtime sequence and parameter coordination of each module of the system, a thermodynamic and structural forming mapping model is established. Based on the preset microstructure quality index, the electromagnetic thermodynamic coupling parameters and embossing execution strategy are dynamically optimized. At the same time, when the microstructure accuracy exceeds the tolerance or the thermodynamic imbalance occurs, the process parameters are self-corrected, realizing the visualization editing of embossing parameters for multi-specification optical films and the traceability of full life cycle data, thus promoting the transformation of process decision-making from experience-driven to data-driven. Attached Figure Description

[0047] Figure 1 This is a structural diagram of the optical film electromagnetic heating embossing system of the present invention;

[0048] Figure 2 This is a unit architecture diagram of the electromagnetic thermodynamic coupling module in this invention;

[0049] Figure 3 This is a flowchart illustrating the operation steps of the optical film electromagnetic heating embossing system of the present invention. Detailed Implementation

[0050] 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. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0051] For specific implementation examples, please refer to: Figures 1-3 An optical film electromagnetic heating embossing system, comprising an electromagnetic thermodynamic coupling module, an optical microstructure monitoring module, an embossing dynamic execution module, and an intelligent decision control module;

[0052] The electromagnetic thermodynamic coupling module is used to construct a non-contact energy field. It induces eddy current heat in the conductive layer of the optical film through a high-frequency alternating magnetic field, and simultaneously integrates infrared radiation and dielectric conduction heat to achieve gradient temperature control in the thickness and width directions of the film material, thereby generating a thermodynamic environment suitable for the embossing process.

[0053] The optical microstructure monitoring module is used to capture the microscopic morphology features and optical performance parameters of the film surface in real time during the embossing process. It obtains data on the geometric accuracy of the microstructure, the uniformity of light transmittance and the stress distribution through multi-dimensional sensing technology, and identifies microstructure forming defects.

[0054] The embossing dynamic execution module is used to adaptively adjust the embossing force and boundary conditions based on monitoring data, including dynamic distribution of pressure field, real-time compensation of mold gap and coordinated control of cooling rate, to suppress microstructure distortion caused by thermal shrinkage;

[0055] The intelligent decision control module is used to coordinate the operation sequence and parameter coordination of various modules in the system, receive multi-source monitoring data and establish a thermodynamic and structural forming mapping model, dynamically optimize electromagnetic thermodynamic coupling parameters and embossing execution strategy according to preset microstructure quality indicators, and provide a process scheme configuration interface to support the visual editing of embossing parameters of multi-specification optical films and full life cycle data traceability.

[0056] The system also integrates a self-optimizing feedback unit, which is used to trigger the self-correction of process parameters when the microstructure accuracy is out of tolerance or thermodynamic imbalance occurs, and to record the data of the entire embossing process to support process iteration and upgrade.

[0057] The electromagnetic thermodynamic coupling module includes an energy field generation unit, a temperature field control unit, and a thermal balance maintenance unit;

[0058] The energy field generating unit generates a high-frequency alternating magnetic field through multiple sets of variable frequency resonant circuits. It utilizes the magnetic field penetration characteristics to achieve volume heating of the conductive layer inside the optical film and synchronously couples the asymmetric infrared radiation component to compensate for the heat loss on the film surface.

[0059] The energy field generating unit is mounted on the embossing roller assembly, and its core hardware parameters are as follows:

[0060] Roller specifications: Heating roller diameter φ300mm, effective width 1500mm;

[0061] Surface precision: Roller surface roughness Ra≤0.4μm, roundness≤0.01mm, ensuring uniform contact with the film material;

[0062] Electrical configuration: Rated heating power 45kW, compatible with industrial power 380V / 50Hz;

[0063] Environmental adaptability: Design operating temperature 23℃, maximum withstand temperature 230℃;

[0064] The temperature field control unit is used to construct a three-dimensional temperature field distribution according to the optical film material characteristics and the complexity of the embossing pattern, and supports the configuration of gradient temperature control strategies along the film material transmission direction, width direction and thickness direction;

[0065] The thermal balance maintenance unit eliminates edge heat dissipation effect through a dynamic heat flux density feedback mechanism, avoiding local overheating and membrane deformation caused by temperature gradients;

[0066] First, distributed high-precision infrared temperature sensing elements are embedded at both ends of the embossing roller to collect the surface temperature of the edge film material and the temperature of the film material in the center area in real time. Then, the temperature deviation between the edge and the center is calculated. When the temperature deviation exceeds a preset allowable threshold, the system determines that there is an edge heat dissipation effect. Next, the electromagnetic heating power density of the edge area is dynamically adjusted according to the temperature deviation. The adjustment of the power density follows a nonlinear compensation formula.

[0067] ;

[0068] in For a moment The actual heat flux density in the edge region, For the set reference heat flux density, This is a compensation coefficient related to the thermal conductivity of the membrane material. For a moment The temperature deviation between the edge and the center is monitored; finally, the temperature deviation is continuously monitored in a closed loop until it returns to the threshold range, thereby maintaining the uniformity of the transverse thermodynamic environment of the embossed area and avoiding incomplete microstructure filling caused by overcooling at the edge.

[0069] The energy field generating unit also integrates a magnetic field focusing component, which guides the distribution of magnetic lines of force through an array of magnetically permeable conductive media for selective heating of the embossing area;

[0070] The temperature field control unit includes a zoned independent temperature control subunit, which divides the embossing area into a single independent thermodynamic control zone. Each zone supports independent configuration of heating rate, holding time and cooling slope.

[0071] The thermal balance maintenance unit is equipped with a thermal inertia compensation mechanism, which dynamically adjusts the energy output density according to the membrane material transmission speed to offset the heat accumulation fluctuations caused by changes in production cycle time. Specifically, it includes:

[0072] The system acquires the current film material conveying line speed in real time and monitors the target temperature setpoint on the working surface of the heating roller. Since the residence time of the film material on the roller surface is inversely proportional to the conveying speed, when an increase in production cycle speed is detected, the independent thermodynamic control zone will increase the initial output density of electromagnetic energy in advance to prevent the film material from becoming too cold due to shortened heating time. The dynamic correction amount of energy output is calculated using the following formula:

[0073] ;

[0074] in This is a dynamic correction amount for energy output. This is the thermal inertia compensation coefficient. For standard production speed, For a moment The membrane material transmission line speed; the new instantaneous energy output density is the superposition of the reference density and this dynamic correction amount; through this dynamic adjustment combining feedforward and feedback, it is ensured that the temperature of the membrane material leaving the embossing zone remains stable within the process window under different production cycles, thus offsetting the fluctuations in heat accumulation.

[0075] The optical microstructure monitoring module includes a micromorphology sensing unit, an optical performance acquisition unit, and a quality trend analysis unit;

[0076] The micro-morphology sensing unit consists of non-contact contour sensing components distributed at the front and rear stations of embossing, used to acquire three-dimensional morphology data of microstructure depth, sidewall angle and periodic uniformity.

[0077] The optical performance acquisition unit is used to detect the transmittance, haze and polarization characteristics of the embossed film material in real time, and to establish the correlation between microstructure and optical performance.

[0078] The formula for the relationship can be expressed as:

[0079] ;

[0080] in Due to optical performance deviation, These are the geometric feature vectors of the microstructure. This is a mapping function between the geometric parameters of the microstructure and its optical properties. This is the model fitting error term;

[0081] The quality trend analysis unit evaluates the microstructure accuracy in real time based on the molding quality prediction model, identifies defect types such as dimensional deviation, edge collapse and incomplete filling, and predicts the quality evolution trend.

[0082] Real-time measured geometric and optical data are input into the molding quality prediction model, which automatically calculates microstructure accuracy deviations and compares them against a defect feature library to identify specific defect types such as dimensional deviations, edge collapses, and incomplete filling. Finally, combining historical batch data, the system uses time series analysis to predict the quality evolution trend of the batch of membrane material. Accuracy evaluation formula:

[0083] ;

[0084] in Scoring for molding accuracy and , For the sample size, For the first Measured optical parameters of each sample For the first Each sample model predicts optical parameters. These are the standard optical parameter thresholds.

[0085] The micromorphological sensing unit adopts a multi-view collaborative sensing architecture, which covers the full surface features of the microstructure through contour scanning at different incident angles.

[0086] The optical performance acquisition unit integrates dynamic spectral analysis function, which performs full-band optical characteristic scanning while the membrane material is in continuous operation, eliminating ambient light interference.

[0087] The quality trend analysis unit uses a time-series evolution algorithm to provide early warnings of batch quality risks and pinpoint the source of process deviations by comparing and analyzing historical microstructure data with the current forming state.

[0088] At the start of each production batch, the system records the initial microstructure feature vector and the corresponding set of process parameters; during continuous production, it continuously collects the microstructure feature vector at the current moment; and it introduces a time series similarity analysis algorithm, namely the DTW dynamic time warping algorithm, to calculate the similarity index between the current state and the historical normal batch baseline curve.

[0089] ;

[0090] in The similarity index, For the current moment, the first 1 eigenvalue, This is the historical normal baseline value; when When the values ​​continuously fall below the set warning line, the system triggers a batch quality risk warning. In order to locate the source of the deviation, the system inputs the current process parameter deviation vector into the causal inference model. The model calculates the contribution probability of each process parameter to the microstructure feature deviation through a Bayesian network, and identifies the parameter with the highest contribution probability as the root cause of the quality fluctuation, thereby realizing process correction.

[0091] The embossing dynamic execution module includes a pressure field control unit, a mold adaptive unit, and a cooling coordination unit;

[0092] The pressure field control unit achieves pressure gradient distribution control in the embossing area through a distributed actuation mechanism, supporting dynamic switching between constant pressure, gradual pressure and pulse pressure modes.

[0093] The mold adaptive unit is used to adjust the contact gap between the mold and the film material in real time based on the microstructure morphology feedback, to compensate for the fit deviation caused by thermal expansion;

[0094] After detecting dimensional deviations in the microstructure caused by thermal expansion online, the actuation mechanism adjusts the support height of a local area of ​​the mold based on the deviation value, ensuring that the actual contact gap between the mold and the film material is always maintained within the optimal embossing range; the gap adjustment amount and the amount of thermal expansion satisfy the following relationship:

[0095] ;

[0096] in The actual contact gap between the adjusted mold and the film material. For standard design clearance, The adjustment amount for the actuator. This refers to the dimensional deviations caused by thermal expansion of the microstructure.

[0097] The cooling synergy unit achieves gradient cooling of the embossed film material through multi-stage temperature-controlled flow channels, suppressing internal stress concentration and optical performance degradation caused by rapid cooling.

[0098] After embossing, the membrane material enters the cooling and setting zone. This zone is equipped with a multi-stage independently temperature-controlled flow channel system. The cooling system controls the flow rate of the cooling medium according to a preset stepped temperature curve. The outlet temperature of the membrane material after passing through the cooling zone is controlled by the thermal conductivity of that stage and the temperature difference of the cooling medium.

[0099] ;

[0100] in For the first The heat removed by the cooling zone For the first The thermal conductivity of the cooling zone is high. For heat exchange area, For the first The mold temperature in the cooling zone For the first The temperature of the cooling medium in the primary cooling zone, For membrane material quality, For the specific heat capacity of the membrane material, For membrane materials to undergo the first The outlet temperature of the cooling zone For time;

[0101] By gradually reducing the cooling intensity, the surface temperature of the film material and the core layer decrease simultaneously, thus avoiding the damage to the optical precision of the microstructure caused by the concentration of internal stress due to sudden cooling.

[0102] The pressure field control unit automatically matches the pressure load according to the area and depth of the microstructure to avoid membrane material damage caused by local overload;

[0103] The mold adaptive unit is equipped with a displacement compensation mechanism, which dynamically adjusts the mold posture through real-time deformation feedback to maintain uniform contact pressure on the embossing interface.

[0104] During the embossing process, a distributed pressure sensor array is used to collect the pressure distribution matrix at the interface between the mold and the film material in real time. ; Calculate the maximum pressure value on the contact surface With minimum pressure value The pressure uniformity deviation is obtained. ;when When the allowable error range is exceeded, the mold posture adjustment mechanism redistributes the pressure by finely adjusting the support height of different areas of the mold; the adjustment amount follows the force balance equation:

[0105] ;

[0106] in The resultant force is in the vertical direction. This is the pressure distribution matrix at the interface between the mold and the membrane material. , The coordinates on the contact surface are two-dimensional. Total embossing force;

[0107] The cooling coordination unit supports the coordinated optimization of cooling rate and temperature gradient, and configures a stepped cooling curve according to the characteristics of the membrane material to balance the molding efficiency and internal stress release requirements.

[0108] For different optical film materials, the system calls upon a pre-stored library of material physical properties to configure a unique stepped cooling curve; the cooling curve is defined as a function of temperature change over time.

[0109] In the early stages of embossing, a high-temperature isothermal plateau is used to eliminate mechanical compressive stress; then a slow cooling zone is entered to promote molecular chain relaxation; finally, a rapid cooling zone is entered to lock in the microstructure morphology; this staged cooling strategy balances the need for molding efficiency and internal stress release.

[0110] The intelligent decision-making and control module includes a process scheduling unit, a digital twin unit, and a human-machine collaboration unit;

[0111] The process scheduling unit is used to coordinate the runtime sequence of electromagnetic thermo-coupling, microstructure monitoring and embossing execution, and is used for dynamic synchronization and resource optimization of multiple modules;

[0112] The digital twin unit constructs a virtual simulation model that includes thermodynamic field, structural field and flow field. The model is updated in real time and predicted microstructure forming quality under different process parameters.

[0113] The virtual simulation model comprises three core subdomains: a thermodynamic field for simulating electromagnetic heating and heat conduction processes, a structural field for simulating the deformation of the membrane material under stress and flow, and a flow field for simulating the flow of coolant inside the mold. A set of multi-field coupled governing equations is established: the thermodynamic field is described by the energy conservation equation, the structural field by the solid mechanics equilibrium equation, and the flow field by the Navier-Stokes equation. During production line operation, the system extracts real-time measured data from equipment sensors as boundary condition inputs to the model. A Kalman filter algorithm is used to drive the update of the virtual model's state variables, reducing the error between simulated and actual values. The updated model undergoes multiple virtual simulation experiments with varying input parameters, outputting predicted microstructure fill rates under different parameter combinations.

[0114] ;

[0115] in For microstructure filling rate, For the volume of the mold cavity, This represents the actual microstructure volume;

[0116] The human-machine collaboration unit provides an immersive process configuration interface, supports virtual trial and error and parameter optimization, and is used to shift process decision-making from experience-driven to data-driven.

[0117] The process scheduling unit adopts an event-driven architecture, which dynamically reconstructs the process flow based on membrane material specification switching, quality anomaly alarms, and equipment status changes, supporting the changeover of multi-variety mixed-line production.

[0118] First, the system deploys an event-driven architecture at the underlying level, defining and registering three types of core event sources:

[0119] The system receives three types of signals: first, membrane material specification switching instructions from the host computer and human-machine collaboration unit; second, quality anomaly alarm signals from the optical microstructure monitoring module; and third, equipment status change information from the equipment sensors. When the system bus detects any event, the process scheduling unit immediately captures the event and, based on the preset event priority and conflict resolution rules, interrupts the current fixed loop process and enters dynamic reconfiguration mode.

[0120] Next, differentiated process refactoring strategies are implemented for different event types: when the instruction is a specification switch, the system automatically calls the process formula corresponding to the new specification; when the instruction is a quality alarm, the system pauses the embossing execution module and activates the self-optimizing feedback unit; when the instruction is an equipment failure, the system automatically switches to bypass and slow-down operation mode; the system re-plans the operation sequence and resource allocation of electromagnetic heating, monitoring, and embossing based on the event attributes.

[0121] The digital twin unit integrates a self-learning optimization algorithm, which automatically corrects model parameters to improve prediction accuracy by analyzing the deviation between actual production data and simulation results.

[0122] The self-learning optimization algorithm periodically compares high-quality microstructure data obtained from actual production with simulation prediction data under the same conditions, and calculates the root mean square error between the two:

[0123] ;

[0124] in This represents the root mean square error between actual production and simulation results. For the sample size, For the first Microstructure data obtained from actual production For the first Simulation prediction data under the same conditions; based on The algorithm automatically adjusts the material property parameters in the simulation model according to the size of the model until the simulation accuracy meets the standard.

[0125] The digital twin unit also calculates the process capability index by comparing the deviation between real-time molding quality data and the target quality range, combined with the fluctuation range of thermodynamic parameters. When the index is lower than the preset threshold, it automatically triggers the parameter optimization process and generates the optimal process adjustment plan.

[0126] Process capability index:

[0127] ;

[0128] in This is the process capability index. This represents the upper specification limit for the microstructure size. This represents the lower specification limit for the microstructure size. This represents the average value of key microstructure dimensions. This represents the standard deviation of key microstructure dimensions.

[0129] The self-optimization feedback unit includes a defect tracing subunit and a process evolution subunit;

[0130] The defect tracing subunit locates the root cause of defects by analyzing the correlation between microstructural defect characteristics and thermodynamic and mechanical parameters, and establishes a knowledge base mapping defect modes and process parameters.

[0131] First, the system initiates a full-scale production data acquisition program. The defect tracing subunit retrieves historical production logs from the database, extracts sample data containing microstructural defect features, and labels them as specific defect pattern categories. Simultaneously, it extracts multidimensional thermodynamic parameters, mechanical parameters, and boundary condition data corresponding to the time period in which the defect sample occurred. The collected multi-source heterogeneous data is normalized to construct a training dataset, with defect patterns as output labels and process parameter combinations as input features. Next, the Apriori association rule mining algorithm is used to analyze the strong correlation between defect patterns and process parameter vectors. By calculating support, confidence, and lift, the probability that a combination of process parameters leads to a specific defect is quantified, identifying the core process parameters that cause defects and their critical threshold ranges, thereby pinpointing the root cause of defects. Finally, the verified causal relationship between defect patterns and process parameters is solidified and stored, establishing a structured mapping knowledge base.

[0132] The process evolution subunit is used to store all production process data, extract the optimal combination of process parameters through data mining, and support automatic recommendation and optimization of process schemes based on optical film material, thickness and microstructure type.

[0133] By introducing data mining algorithms from machine learning, the optimal combination of process parameters is globally searched under the constraint of a knowledge base; the objective function is set to maximize the yield of microstructures and minimize energy consumption.

[0134] ;

[0135] in To optimize the numerical value of the objective function for the process, The microstructure yield and its value range are: , Energy consumption weighting coefficient Energy consumption for production.

[0136] The operating steps of the optical film electromagnetic heating embossing system are as follows:

[0137] Step 1: Constructing a suitable thermodynamic environment for embossing. A high-frequency alternating magnetic field is generated through an electromagnetic thermodynamic coupling module to induce eddy current heating in the conductive layer of the optical film. Infrared radiation and dielectric conduction heat are simultaneously integrated to achieve gradient temperature control in the thickness and width directions of the film. Relying on the energy field generation unit, temperature field control unit, and thermal balance maintenance unit, the three-dimensional temperature field distribution configuration, independent temperature control in zones, and thermal inertia compensation are completed to eliminate edge heat dissipation effects and heat accumulation fluctuations, and avoid local overheating and film deformation.

[0138] Step 2: Real-time monitoring of microstructure forming status. Through the multi-dimensional sensing technology of the optical microstructure monitoring module, the micromorphological sensing unit acquires three-dimensional morphological data of microstructure depth, sidewall angle, and periodic uniformity. The optical performance acquisition unit detects parameters such as transmittance, haze, and polarization characteristics. The quality trend analysis unit identifies defects such as dimensional deviation, edge collapse, and insufficient filling based on the forming quality prediction model, and predicts the quality evolution trend.

[0139] Step 3: Adaptive adjustment of embossing execution parameters. Based on monitoring data, the dynamic embossing execution module controls the pressure gradient distribution and dynamically switches the pressure mode through the pressure field control unit. The mold adaptive unit adjusts the contact gap between the mold and the film material in real time to compensate for thermal expansion deviations. The cooling coordination unit executes a gradient cooling strategy to suppress microstructure distortion and internal stress concentration caused by thermal shrinkage.

[0140] Step 4: System Coordination and Process Optimization. The intelligent decision control module coordinates the runtime sequence and resource allocation of each module through the process scheduling unit. The digital twin unit constructs a virtual simulation model to predict molding quality and correct model parameters. The human-machine collaboration unit provides a process configuration interface to support visual editing. When microstructure accuracy exceeds tolerance or thermodynamic imbalance occurs, the self-optimization feedback unit triggers process parameter self-correction. Combined with the defect tracing and process evolution sub-units, all data is stored to support process iteration upgrades and automatic recommendation of multi-specification solutions.

[0141] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0142] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. An optical film electromagnetic heating embossing system characterized by: The system includes an electromagnetic thermo-coupling module, an optical microstructure monitoring module, an embossing dynamic execution module, and an intelligent decision control module. The electromagnetic thermodynamic coupling module is used to construct a non-contact energy field. It induces eddy current heat in the conductive layer of the optical film through a high-frequency alternating magnetic field, and simultaneously integrates infrared radiation and dielectric conduction heat to achieve gradient temperature control in the thickness and width directions of the film material, thereby generating a thermodynamic environment suitable for the embossing process. The optical microstructure monitoring module is used to capture the microscopic morphology features and optical performance parameters of the film surface in real time during the embossing process. It obtains data on the geometric accuracy of the microstructure, the uniformity of light transmittance, and the stress distribution through multi-dimensional sensing technology, and identifies microstructure forming defects. The embossing dynamic execution module is used to adaptively adjust the embossing force and boundary conditions based on monitoring data, including dynamic distribution of pressure field, real-time compensation of mold gap and coordinated control of cooling rate, to suppress microstructure distortion caused by thermal shrinkage. The intelligent decision control module is used to coordinate the operation sequence and parameter coordination of each module in the system, receive multi-source monitoring data and establish a thermodynamic and structural forming mapping model, dynamically optimize electromagnetic thermodynamic coupling parameters and embossing execution strategy according to preset microstructure quality indicators, and provide a process scheme configuration interface to support the visual editing of embossing parameters of multi-specification optical films and full life cycle data traceability. The system also integrates a self-optimizing feedback unit, which is used to trigger the self-correction of process parameters when the microstructure precision is out of tolerance or thermodynamic imbalance occurs, and to record the data of the entire embossing process to support process iteration and upgrading.

2. The optical film electromagnetic heating embossing system of claim 1, wherein: The electromagnetic thermodynamic coupling module includes an energy field generating unit, a temperature field regulating unit, and a thermal balance maintaining unit. The energy field generating unit generates a high-frequency alternating magnetic field through multiple sets of variable frequency resonant circuits, and uses the magnetic field penetration characteristics to realize the volume heating of the conductive layer inside the optical film, and synchronously couples the asymmetric infrared radiation component to compensate for the heat loss on the film surface. The temperature field control unit is used to construct a three-dimensional temperature field distribution according to the optical film material characteristics and the complexity of the embossing pattern, and supports the configuration of gradient temperature control strategies along the film material transmission direction, width direction and thickness direction. The thermal balance maintenance unit eliminates edge heat dissipation effect through a dynamic heat flux density feedback mechanism, avoiding local overheating and membrane deformation caused by temperature gradients.

3. The optical film electromagnetic heating embossing system of claim 2, wherein: The energy field generating unit also integrates a magnetic field focusing component, which guides the distribution of magnetic lines of force through an array of magnetically permeable conductive media for selective heating of the embossing area; The temperature field control unit includes a zoned independent temperature control subunit, which divides the embossing area into a single independent thermodynamic control zone. Each zone supports independent configuration of heating rate, holding time and cooling slope. The thermal balance maintenance unit is equipped with a thermal inertia compensation mechanism, which dynamically adjusts the energy output density according to the membrane material transmission speed to offset the heat accumulation fluctuations caused by changes in production cycle.

4. The optical film electromagnetic heating embossing system according to claim 1, characterized in that: The optical microstructure monitoring module includes a micromorphology sensing unit, an optical performance acquisition unit, and a quality trend analysis unit. The micromorphological sensing unit consists of non-contact contour sensing components distributed at the front and rear stations of embossing, used to acquire three-dimensional morphological data of microstructure depth, sidewall angle and periodic uniformity. The optical performance acquisition unit is used to detect the transmittance, haze, and polarization characteristics of the embossed film material in real time, and to establish the correlation between microstructure and optical performance. The quality trend analysis unit evaluates the microstructure accuracy in real time based on the molding quality prediction model, identifies defect types such as dimensional deviation, edge collapse and insufficient filling, and predicts the quality evolution trend.

5. The optical film electromagnetic heating embossing system according to claim 4, characterized in that: The micromorphological sensing unit adopts a multi-view collaborative sensing architecture, which covers the full surface features of the microstructure through contour scanning at different incident angles. The optical performance acquisition unit integrates dynamic spectral analysis function, which performs full-band optical characteristic scanning under continuous operation of the membrane material to eliminate ambient light interference. The quality trend analysis unit uses a time-series evolution algorithm to provide early warnings of batch quality risks and pinpoint the source of process deviations by comparing and analyzing historical microstructure data with the current forming state.

6. The optical film electromagnetic heating embossing system of claim 1, wherein: The embossing dynamic execution module includes a pressure field control unit, a mold adaptive unit, and a cooling coordination unit; The pressure field control unit achieves pressure gradient distribution control in the embossing area through a distributed actuation mechanism, supporting dynamic switching between constant pressure, gradual pressure, and pulse pressure modes. The mold adaptive unit is used to adjust the contact gap between the mold and the film material in real time based on the microstructure morphology feedback, so as to compensate for the fit deviation caused by thermal expansion. The cooling synergy unit achieves gradient cooling of the embossed film material through multi-stage temperature-controlled flow channels, suppressing internal stress concentration and optical performance degradation caused by rapid cooling.

7. The optical film electromagnetic heating embossing system according to claim 6, characterized in that: The pressure field control unit automatically matches the pressure load according to the area and depth of the microstructure to avoid membrane material damage caused by local overload. The mold adaptive unit is equipped with a displacement compensation mechanism, which dynamically adjusts the mold posture through real-time deformation feedback to maintain uniform contact pressure on the embossing interface. The cooling coordination unit supports the coordinated optimization of cooling rate and temperature gradient, and configures a stepped cooling curve according to the characteristics of the membrane material to balance molding efficiency and internal stress release requirements.

8. The optical film electromagnetic heating embossing system of claim 1, wherein: The intelligent decision control module includes a process scheduling unit, a digital twin unit, and a human-machine collaboration unit; The process scheduling unit is used to coordinate the runtime sequence of electromagnetic thermo-coupling, microstructure monitoring and embossing execution, and is used for dynamic synchronization and resource optimization of multiple modules. The digital twin unit constructs a virtual simulation model that includes thermodynamic field, structural field and flow field, and drives the model update through real-time data to predict the microstructure forming quality under different process parameters; The human-machine collaboration unit provides an immersive process configuration interface, supports virtual trial and error and parameter optimization, and is used to shift process decision-making from experience-driven to data-driven.

9. The optical film electromagnetic heating embossing system of claim 8, wherein: The process scheduling unit adopts an event-driven architecture, which dynamically reconstructs the process flow based on membrane material specification switching, quality abnormality alarms, and equipment status changes, supporting the changeover of multi-variety mixed-line production. The digital twin unit integrates a self-learning optimization algorithm, which automatically corrects model parameters to improve prediction accuracy by analyzing the deviation between actual production data and simulation results. The digital twin unit also calculates the process capability index by comparing the deviation between real-time molding quality data and the target quality range, combined with the fluctuation range of thermodynamic parameters. When the index is lower than a preset threshold, it automatically triggers the parameter optimization process to generate the optimal process adjustment scheme.

10. The optical film electromagnetic heating embossing system of claim 1, wherein: The self-optimization feedback unit includes a defect tracing subunit and a process evolution subunit; The defect tracing subunit locates the root cause of defects by analyzing the correlation between microstructural defect characteristics and thermodynamic and mechanical parameters, and establishes a knowledge base mapping defect patterns and process parameters. The process evolution subunit is used to store all production process data, extract the optimal combination of process parameters through data mining, and support automatic recommendation and optimization of process schemes based on optical film material, thickness and microstructure type.

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