A rapid prototyping stamping system and method

Abstract

The present application provides a rapid prototyping stamping processing system and method, which relates to the field of stamping processing technology. The method includes: reading the stamping processing task; planning the production strategy based on the task complexity and batch processing threshold, and determining the task stamping strategy; combining the trial punching decision module to perform task-by-task single-frequency trial punching analysis and control decision-making based on the rapid punching machine, and determine the punching machine control strategy; configuring the flexible control system and establishing a communication connection with the CAD library; determining the self-compensation rule based on the control tolerance interval and setting the digital feedback device; combining the flexible control system to perform stamping control of the stamping processing task, synchronously perform stamping monitoring, and perform dynamic stamping self-regulation. This application can solve the technical problem in the prior art that the stamping control effect is unstable, which further affects the product quality, realize the technical goal of flexible adaptive control, and achieve the technical effect of high-quality product output.

Description

Technical Field

[0001] The present application relates to the field of stamping processing technology, and in particular to a rapid prototyping stamping processing system and method. Background Art

[0002] The aluminum foil material is processed into a formed aluminum foil lunch box through a stamping process.

[0003] Currently, existing stamping methods cannot effectively adapt to the variations between batches of workpieces. This can result in additional manual adjustments or downtime between batches, reducing overall production efficiency. Different batches of workpieces may require different stamping parameters and control strategies. Without flexible control, it may not be possible to provide optimal processing conditions for each batch, resulting in unstable product quality and even defective products. Therefore, a method is needed to address this problem.

[0004] In summary, there are technical problems in the existing technology because most of them do not perform multi-task connection processing based on the basic control characteristics of continuous stamping under multiple batches of workpieces, and then analyze the specific control parameters, resulting in unstable control effects and difficulty in meeting the expected processing requirements, resulting in unsmooth switching between tasks, reduced production efficiency, and even possible safety issues, further affecting product quality. Summary of the Invention

[0005] The purpose of this application is to provide a rapid prototyping stamping processing system and method to solve the technical problems in the existing technology, which are that most of them do not perform multi-task connection processing based on the basic control characteristics of continuous stamping under multiple batches of workpieces, and then analyze the specific control parameters, resulting in unstable control effects and difficulty in meeting the expected processing requirements, resulting in unsmooth switching between tasks, reduced production efficiency, and even possible safety issues, further affecting product quality.

[0006] In view of the above problems, the present application provides a rapid prototyping stamping processing system and method.

[0007] In the first aspect, the present application also provides a rapid prototyping stamping processing system for executing a rapid prototyping stamping processing method, wherein the system includes: a stamping processing task reading component, the stamping processing task reading component is used to read the stamping processing task, wherein the stamping processing task is an aluminum foil lunch box type, including at least one processing task; a task stamping strategy determination component, the task stamping strategy determination component is used to plan the production strategy for the stamping processing task based on the task complexity and batch processing threshold, and determine the task stamping strategy, wherein the planning elements include stamping type switching strategy and rapid die change strategy, and the stamping types include progressive and die types; a punching machine control strategy determination component, the punching machine control strategy determination component is used to traverse the task stamping strategy, and combine with the trial punching decision module to perform a rapid stamping decision based on the task complexity and batch processing threshold. The high-speed punching machine analyzes and controls the punching machine control strategy by task-by-task single-frequency trial punching. The communication connection component is used to configure the flexible control system based on the task punching strategy and the punching machine control strategy, and establish a communication connection between the CAD library and the flexible control system. The self-compensation rule determination component is used to determine the self-compensation rule based on the control tolerance interval and set the digital feedback device. The self-compensation rule includes coaxial positioning compensation and switching compensation. The coaxial positioning includes repeated coaxiality and punching part-die-material coaxiality. The dynamic stamping self-regulation component is used to combine the flexible control system to perform stamping control of the stamping processing task, perform stamping monitoring simultaneously, and perform dynamic stamping self-regulation in combination with the digital feedback device.

[0008] On the second aspect, the present application provides a rapid prototyping stamping processing method, which is implemented by a rapid prototyping stamping processing system, wherein the method includes: reading a stamping processing task, wherein the stamping processing task is an aluminum foil lunch box type, including at least one processing task; planning a production strategy for the stamping processing task based on task complexity and batch processing threshold, and determining the task stamping strategy, wherein planning elements include a stamping type switching strategy and a rapid die change strategy, and the stamping types include progressive and die types; traversing the task stamping strategy, combining a trial punching decision module, and performing a step-by-step decision based on a rapid punching machine. The task single frequency trial punching analysis and control decision are carried out to determine the punching machine control strategy; based on the task punching strategy and the punching machine control strategy, the flexible control system is configured, and a communication connection between the CAD library and the flexible control system is established; the self-compensation rules based on the control tolerance range are determined, and the digital feedback device is set. The self-compensation rules include coaxial positioning compensation and switching compensation. Coaxial positioning includes repeated coaxiality and punching part-die-material coaxiality; combined with the flexible control system, the stamping control of the stamping processing task is carried out, and the stamping monitoring is carried out simultaneously. Combined with the digital feedback device, dynamic stamping self-regulation is performed.

[0009] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0010] By reading the stamping processing task, wherein the stamping processing task is an aluminum foil lunch box type, including at least one processing task; based on the task complexity and batch processing threshold, the production strategy planning is carried out for the stamping processing task, and the task stamping strategy is determined, wherein the planning elements include the stamping type switching strategy and the rapid die change strategy, and the stamping types include progressive and die types; traversing the task stamping strategy, combining the trial punching decision module, performing task-by-task single-frequency trial punching analysis and control decision based on the rapid punching machine, and determining the punching machine control strategy; based on the task stamping strategy and the punching machine control strategy, the flexible control system is controlled. The system is configured and a communication connection is established between the CAD library and the flexible control system; a self-compensation rule based on the control tolerance range is determined and a digital feedback device is set, wherein the self-compensation rule includes coaxial positioning compensation and switching compensation, and coaxial positioning includes repeated coaxiality and punching-die-material coaxiality; in combination with the flexible control system, the stamping control of the stamping processing task is performed, and stamping monitoring is performed synchronously, and dynamic stamping self-regulation is performed in combination with the digital feedback device, thereby realizing the technical goal of flexible adaptive control and achieving the technical effect of smooth processing and high-quality product output.

[0011] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, which can be implemented in accordance with the contents of the description, and to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are specifically listed below. It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easy to understand through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] In order to more clearly illustrate the technical solutions in this application or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are merely exemplary, and a person of ordinary skill in the art can obtain other drawings based on the provided drawings without creative work.

[0013] Figure 1 A schematic structural diagram of a rapid prototyping stamping system for this application;

[0014] Figure 2 This is a schematic flow chart of a rapid prototyping stamping method for this application.

[0015] Description of reference numerals:

[0016] Stamping task reading component 11, task stamping strategy determination component 12, punching machine control strategy determination component 13, communication connection component 14, self-compensation rule determination component 15, dynamic stamping self-regulation component 16. DETAILED DESCRIPTION

[0017] This application provides a rapid prototyping stamping processing system and method to solve the technical problems in the prior art, which are that most of them do not perform multi-task connection processing based on the basic control characteristics of continuous stamping under multiple batches of workpieces, and then analyze specific control parameters. This leads to unstable control effects, difficulty in meeting expected processing requirements, and causes unsmooth switching between tasks, reduced production efficiency, and even potential safety issues, further affecting product quality. The technical goal of flexible adaptive control is achieved, and the technical effects of smooth processing and high-quality product output are achieved.

[0018] Below, the technical solutions in this application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of this application, rather than all the embodiments of this application. It should be understood that this application is not limited to the example embodiments described herein. Based on the embodiments of this application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application. It should also be noted that, for the convenience of description, only the parts related to this application, rather than all of them, are shown in the accompanying drawings.

[0019] Example 1

[0020] Please see the attached Figure 1 The present application provides a rapid prototyping stamping processing system, wherein the system is applied to a rapid prototyping stamping processing method, and the system specifically includes:

[0021] A stamping processing task reading component 11 is used to read a stamping processing task, wherein the stamping processing task is an aluminum foil lunch box and includes at least one processing task;

[0022] A task stamping strategy determination component 12 is used to perform production strategy planning for the stamping task based on task complexity and batch processing threshold, and determine the task stamping strategy, wherein planning elements include stamping type switching strategy and rapid die change strategy, and stamping types include progressive type and die type;

[0023] A punch press control strategy determination component 13 is used to traverse the task punching strategy, combine with the trial punching decision module, perform task-by-task single-frequency trial punching analysis and control decision based on the fast punching machine, and determine the punch press control strategy;

[0024] A communication connection component 14, which is used to configure the flexible control system based on the task punching strategy and the punching machine control strategy, and establish a communication connection between the CAD library and the flexible control system;

[0025] A self-compensation rule determination component 15 is used to determine a self-compensation rule based on a control tolerance interval and set a digital feedback device. The self-compensation rule includes coaxial positioning compensation and switching compensation. Coaxial positioning includes repeated coaxiality and punch-die-material coaxiality.

[0026] The dynamic stamping self-regulating component 16 is used to combine with the flexible control system to perform stamping control of the stamping processing task, perform stamping monitoring simultaneously, and perform dynamic stamping self-regulation in combination with the digital feedback device.

[0027] Furthermore, the punch control strategy determination component 13 in the system is also used for:

[0028] The test punching decision module includes a simulation test punching unit and an optimization control unit. The simulation test punching unit has a built-in mechanical model of the rapid punching machine. The optimization control unit is obtained through supervised training based on the finite element analysis principle.

[0029] Furthermore, the punch control strategy determination component 13 in the system is also used for:

[0030] A single task feature extraction component, the single task feature extraction component is used to traverse the task stamping strategy and extract single task features;

[0031] a simulated stamping data determination component, the simulated stamping data determination component being used to determine simulated stamping data based on the characteristics of the single task and in combination with the simulated test stamping unit, by performing stamping control processing based on the mechanical model, wherein a complete stamping cycle of a single stamping frequency of each stamping task is used as a simulation standard;

[0032] A punch press control strategy determination component is used to combine with the optimization control unit to perform control bias positioning and optimization decision-making on the simulated punching data, and integrate and determine the punch press control strategy.

[0033] Furthermore, the punch control strategy determination component 13 in the system is also used for:

[0034] A deflection positioning point identification component is used to identify a deflection positioning point, and if the deflection positioning point is vacant, determine the punch press control strategy based on the simulated punching data;

[0035] a point-by-point targeted adjustment determination component, wherein the point-by-point targeted adjustment determination component is configured to use point-by-point targeted adjustment as an optimization control method if the number of the bias positioning points is less than or equal to a threshold value;

[0036] A hierarchical iterative optimization determination component is used to use hierarchical iterative optimization based on finite element control as an optimization control method if the bias positioning points meet a quantity threshold;

[0037] An optimized control mode determination component is used therein, wherein the optimized control mode includes:

[0038] Based on the deflection positioning point, determining a first preset number of pre-adjustment points, and randomly perturbing the pre-adjustment points to determine a hierarchical optimization solution, where the first preset number is a positive integer greater than or equal to 1 and less than or equal to the total number of positioning points;

[0039] The taboo library determination component is used to add the optimization method of the optimal solution into the taboo library, and set the first number of iterations as the lifting standard and the second number of iterations as the optimization convergence condition, and the first number of iterations is less than the second number of iterations.

[0040] Furthermore, the communication connection component 14 in the system is also used for:

[0041] Before configuring the flexible control system, strategic compensation is performed;

[0042] A task stamping strategy compensation component is used to compensate for the task stamping strategy, including:

[0043] Determining the stamping order of the stamping tasks based on the switching convenience and task time limit of task switching;

[0044] a switching control point determination component, the switching control point determination component being used to identify the stamping sequence, perform switching factor analysis based on task connection, and determine the switching control point;

[0045] A task stamping strategy compensation component, wherein the task stamping strategy compensation component is used to compensate the task stamping strategy based on the switching control point;

[0046] A punch press control strategy compensation component is used to compensate for the punch press control strategy, including:

[0047] Reading the task geometry information and the size of the aluminum foil material, optimizing the task trajectory based on the stamping task with the goal of maximizing utilization, and determining the target stamping trajectory, wherein the task trajectory is determined based on the center point of the material stamping distribution;

[0048] A target stamping trajectory determination component is used to compensate the punch press control strategy based on the target stamping trajectory.

[0049] Furthermore, the dynamic stamping self-regulating component 16 in the system is also used for:

[0050] A coaxial determination point cloud determination component is used to determine a coaxial determination point cloud based on the repeated coaxiality and the punch-die-material coaxiality, wherein the coaxial determination point cloud is a three-dimensional distribution point for measuring coaxiality;

[0051] a coaxial determination result determination component, the coaxial determination result determination component being used to perform three-dimensional coaxial detection before and after a single-frequency stamping operation based on the coaxial determination point cloud to determine a coaxial determination result;

[0052] A coaxial feedback control component is used to perform coaxial feedback control based on the digital feedback device based on the coaxial determination result.

[0053] Furthermore, the dynamic stamping self-regulating component 16 in the system is also used for:

[0054] An automation threshold determination component, the automation threshold determination component is used to identify the risk characteristics, accuracy standards and mechanical requirements of the stamping task, and determine the automation threshold and intelligent threshold;

[0055] An update control component is used to update and control the flexible control system and the digital feedback device based on the automation threshold and the intelligent threshold, wherein the update control standard is higher than the threshold standard.

[0056] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

[0057] Example 2

[0058] Based on the same inventive concept as the rapid prototyping stamping processing system in the aforementioned embodiment, this application also provides a rapid prototyping stamping processing method, please refer to the attached Figure 2 , the method comprising:

[0059] Step 1: Reading a stamping processing task, wherein the stamping processing task is an aluminum foil lunch box type, including at least one processing task;

[0060] Specifically, a stamping task is obtained by obtaining an aluminum foil lunch box to be stamped. A stamping task refers to a task for continuously stamping aluminum foil lunch boxes. A stamping task includes at least one stamping task.

[0061] Step 2: Based on the task complexity and batch processing threshold, a production strategy is planned for the stamping task to determine the task stamping strategy. The planning elements include the stamping type switching strategy and the rapid die change strategy. The stamping types include progressive and die-type.

[0062] Specifically, evaluate the complexity of the stamping task. Complexity may be determined by factors such as the complexity of the product design, the required stamping accuracy, and the difficulty of material handling. The batch processing threshold refers to the key point at which the adoption of a specific production strategy can bring about efficiency improvements when a certain production quantity is reached. For stamping, the batch threshold may be determined by factors such as the frequency of mold replacement, the time for equipment adjustment, and the efficiency of material use. Plan the production strategy for the stamping task and determine the task stamping strategy. Planning elements include stamping type switching strategy and quick mold change strategy. Furthermore, stamping types include progressive and die-type. Progressive stamping is suitable for stamping tasks with lower complexity, such as products with simple shapes and low precision requirements, or for products with relatively few corresponding demands and special shapes and structures, such as certain special shapes and structures of lunch boxes. Die-type stamping is suitable for tasks with higher complexity and requires high precision and high efficiency. Die-type stamping uses pre-designed molds to complete the molding process in one go, with high production efficiency. Furthermore, when the task complexity is low and the batch processing threshold is small, progressive stamping can be used. When the task complexity is high or the batch processing threshold is large, die stamping is used to improve production efficiency.

[0063] Step 3: Traverse the task punching strategy, combine with the test punching decision module, conduct task-by-task single-frequency test punching analysis and control decision based on the fast punching machine, and determine the punching machine control strategy;

[0064] Specifically, the system sequentially accesses the task-specific stamping strategies and conducts simulated test punches through the test punch decision module to obtain simulated stamping data. Control bias is determined and optimal decisions are made based on the simulated stamping data to optimize the press control strategy. The system analyzes and makes control decisions for each task-specific single-frequency test punch of the high-speed press, determining the optimal press control strategy for each specific stamping task.

[0065] Step 4: Based on the task punching strategy and the punch press control strategy, the flexible control system is configured, and a communication connection between the CAD library and the flexible control system is established;

[0066] Specifically, the flexible control system is configured based on the specific requirements of the task's stamping strategy and press control strategy. For example, this includes determining the stamping sequence, identifying switching control points, optimizing task trajectories, and compensating for the press control strategy. A communication link is established between the CAD library and the flexible control system, allowing design data from the CAD library to be directly imported into the flexible control system. This enables rapid data transfer and sharing, improving production efficiency and reducing human errors and rework.

[0067] Step 5: Determine the self-compensation rule based on the control tolerance range and set the digital feedback device. The self-compensation rule includes coaxial positioning compensation and switching compensation. Coaxial positioning includes repeated coaxiality and punch-die-material coaxiality.

[0068] Specifically, to improve the stability and accuracy of the flexible control system, a self-compensation rule based on the control tolerance range is determined. This self-compensation rule includes coaxial positioning compensation and switching compensation. Furthermore, coaxial positioning compensation refers to compensation for repeated coaxiality and part-die-material coaxiality. Repeated coaxial compensation ensures that the axis position remains consistent during each stamping process to improve processing accuracy. Part-die-material coaxial compensation ensures that the part, die, and material maintain the correct relative position during the stamping process to prevent processing problems caused by position deviation. Switching compensation refers to control adjustments during task switching. During task switching, factors such as die replacement and material adjustment may cause changes in the parameters of the flexible control system. Switching compensation allows for rapid adjustment of control parameters, enabling the flexible control system to quickly adapt to new task requirements and reducing switching time and costs. Furthermore, a digital feedback controller is set based on the self-compensation rule. The digital feedback controller monitors the operating status of the flexible control system in real time and feeds the monitoring data back to the flexible control system. By analyzing feedback data and adjusting its own parameters in real time to achieve self-compensation function, it helps to improve the response speed and stability of the flexible control system and ensure the smooth progress of the stamping process.

[0069] Step 6: Combine the flexible control system to perform stamping control of the stamping processing task, perform stamping monitoring simultaneously, and combine the digital feedback device to perform dynamic stamping self-regulation.

[0070] Specifically, based on the task stamping strategy and punch press control strategy, the stamping processing task is precisely controlled through a flexible control system to ensure that the stamping process is carried out according to the predetermined requirements. At the same time, dynamic adjustments are made based on real-time feedback data to adapt to the stamping requirements of different materials and molds. During the stamping control process, stamping monitoring is carried out simultaneously to collect data from the stamping process in real time. By analyzing the stamping process data, abnormal conditions in the stamping process, such as mold wear and material offset, can be discovered in a timely manner, so that timely measures can be taken to make adjustments. The digital feedback device receives real-time stamping data during synchronous stamping monitoring and self-adjusts the parameters of the flexible control system to correct deviations and restore normal stamping conditions.

[0071] The rapid prototyping stamping processing method is applied to a rapid prototyping stamping processing system, which can achieve the technical goal of flexible adaptive control and achieve the technical effects of smooth processing and high-quality product output.

[0072] Furthermore, the present application further comprises the following steps:

[0073] The test punching decision module includes a simulation test punching unit and an optimization control unit. The simulation test punching unit has a built-in mechanical model of the rapid punching machine. The optimization control unit is obtained through supervised training based on the finite element analysis principle.

[0074] Specifically, the trial punching decision module consists of a simulation trial punching unit and an optimization control unit. The simulation trial punching unit incorporates a mechanical model of the high-speed punching press. This mechanical model is constructed based on the actual mechanical structure and operating principle of the high-speed punching press and can simulate the various motions and dynamic behaviors of the press during the stamping process. The simulation trial punching unit allows for a preview and optimization of the stamping process before actual processing, effectively avoiding potential problems that may arise during actual processing and improving processing quality and efficiency. The optimization control unit is acquired through supervised training based on the principles of finite element analysis and is used to optimize and control the stamping process, ensuring its stability and accuracy. Finite element analysis is a numerical analysis method used to find approximate solutions to complex engineering problems. In stamping processes, finite element analysis can be used to simulate key parameters such as material deformation and stress distribution. The optimization control unit is trained using machine learning algorithms by collecting stamping process data. During training, the optimization control unit learns based on the input stamping parameters and conditions and automatically adjusts the control parameters of the punching press to achieve the optimal stamping result. During the actual stamping process, the stamping process is optimized in real time based on the real-time collected data through the optimization control unit to ensure the stability and accuracy of the stamping process.

[0075] The simulation trial punching unit and optimization control unit integrated in the trial punching decision module provide efficient and accurate production strategies for stamping processing tasks.

[0076] Furthermore, the present application further comprises the following steps:

[0077] Traversing the task stamping strategy and extracting the characteristics of individual tasks;

[0078] Based on the characteristics of the single task, the simulation test punching unit is combined to perform stamping control processing based on the mechanical model to determine simulated stamping data, wherein the complete stamping cycle of the single stamping frequency of each stamping task is used as the simulation standard;

[0079] In combination with the optimization control unit, the control bias positioning and optimization decision-making of the simulated stamping data are performed, and the punching machine control strategy is integrated and determined.

[0080] Specifically, all task stamping strategies, including progressive stamping and die-based stamping, are accessed sequentially. For each individual task in the task stamping strategy, the characteristics of the individual task are extracted. For example, individual task characteristics include material properties, shape and size, accuracy requirements, and quantity requirements.

[0081] After extracting the characteristics of individual tasks, a simulation test punching unit, combined with a mechanical model of a high-speed punching machine, is used to perform stamping control processing. This simulation is used to simulate the actual stamping process and obtain simulated stamping data. During the simulation process, the complete stamping cycle of each stamping task is used as the simulation standard. This means that the stamping cycle of a single stamping frequency is fully simulated to determine the simulated stamping data, ensuring the accuracy and reliability of the simulated data. By continuously adjusting and optimizing stamping parameters such as stamping speed, stamping force, and die clearance, the simulation results are brought closer to the actual processing conditions.

[0082] Then, after obtaining the simulated stamping data, the simulated stamping data is analyzed and processed in conjunction with the optimization control unit. Through the optimization control unit, based on the principle of finite element analysis, the simulated stamping data is analyzed and mined to find possible control biases or optimization space. By locating the control bias, the key factors that may lead to defective products or reduced efficiency in the stamping process are identified. The optimization decision-making aims to find the best stamping control strategy by adjusting and optimizing the control parameters. The results of the simulation test unit and the optimization control unit are integrated to determine the final punch press control strategy to ensure that the best processing effect can be achieved during the actual stamping process.

[0083] By traversing the task stamping strategies and extracting the characteristics of individual tasks, the optimal punching machine control strategy is determined through simulation and optimization, providing strong support for actual stamping processing tasks.

[0084] Furthermore, the present application further comprises the following steps:

[0085] Identifying a deflection positioning point, and if the deflection positioning point is vacant, determining the punch press control strategy based on the simulated punching data;

[0086] If the bias positioning points are less than or equal to the number threshold, point-by-point targeted adjustment is used as the optimization control method;

[0087] If the bias positioning points meet the quantity threshold, hierarchical iterative optimization based on finite element control is used as the optimization control method;

[0088] The optimization and control methods include:

[0089] Based on the deflection positioning point, determining a first preset number of pre-adjustment points, and randomly perturbing the pre-adjustment points to determine a hierarchical optimization solution, where the first preset number is a positive integer greater than or equal to 1 and less than or equal to the total number of positioning points;

[0090] The optimization method of the optimal solution is added to the taboo library, and the first number of iterations is set as the ban-releasing standard, and the second number of iterations is set as the optimization convergence condition, and the first number of iterations is less than the second number of iterations.

[0091] Specifically, deviation points are locations during simulated test punching that may lead to unstable processing, reduced accuracy, or increased costs. These deviation points are identified through data analysis and comparison with simulation results. If the identified deviation points are empty, meaning no obvious deviation issues are found and the current simulation results are close enough to the ideal state, the press control strategy can be determined directly based on the simulated punching data.

[0092] If the number of deflection points is less than or equal to the threshold, indicating a small number of deflection points, a point-by-point optimization and control approach can be employed. For each deflection point, the cause of the deflection point is analyzed individually, and a corresponding adjustment strategy is formulated to achieve optimal control. The threshold is custom-set by those skilled in the art based on actual conditions.

[0093] If the number of deflection points is large and meets the set threshold, point-by-point adjustments are inefficient. Therefore, hierarchical iterative optimization based on finite element analysis is adopted as an optimization control method. This combines the accuracy of finite element analysis with the efficiency of iterative optimization, and can more effectively handle the complex problems caused by multiple deflection points. Furthermore, if the number of deflection points is small, targeted adjustments can be made; if the number is large, finite element analysis optimization is performed to balance individual points and global considerations.

[0094] Furthermore, based on the deflection anchor point, a first preset number of pre-adjustment points is determined. For example, the pre-adjustment point can be the deflection anchor point itself or a key control point associated therewith. The pre-adjustment points are randomly perturbed to generate different hierarchical optimization solutions. The first preset number is a positive integer greater than or equal to 1 and less than or equal to the total number of anchor points.

[0095] Then, the optimal solution is determined by simulating and evaluating optimization solutions at different levels. The optimal solution is the control strategy that can maximize the improvement of the bias positioning point problem under the current conditions. The optimization method of the optimal solution is added to the taboo library to avoid repeating strategies that have proven to be ineffective in subsequent iterations. At the same time, the first number of iterations is set as the release standard, indicating that after a certain number of iterations, even if some strategies are restricted by the taboo library, their possibility can be reconsidered. The second number of iterations serves as the optimization convergence condition to ensure that the iterative process can converge to a relatively stable solution after reaching a certain number of times.

[0096] By making effective adjustments to the bias positioning points and continuously approaching the optimal control strategy through hierarchical iterative optimization, the overall performance of the stamping process is improved.

[0097] Furthermore, the present application further comprises the following steps:

[0098] Before configuring the flexible control system, strategic compensation is performed;

[0099] Among them, the compensation task stamping strategy includes:

[0100] Determining the stamping order of the stamping task based on the switching convenience and task time limit of the task switching;

[0101] Identify the punching sequence, perform switching factor analysis based on task connection, and determine the switching control point;

[0102] Compensating the task stamping strategy based on the switching control point;

[0103] Among them, the compensation punch control strategy includes:

[0104] Reading the task geometry information and the size of the aluminum foil material, optimizing the task trajectory based on the stamping task with the goal of maximizing utilization, and determining the target stamping trajectory, wherein the task trajectory is determined based on the center point of the material stamping distribution;

[0105] The punch press control strategy is compensated based on the target punching trajectory.

[0106] Specifically, before configuring the flexible control system, preparatory work for strategy compensation is performed. Furthermore, strategy compensation includes task punching strategy compensation and compensation punching machine control strategy.

[0107] Furthermore, the compensatory stamping strategy involves determining the stamping order of the stamping tasks based on the ease of task switching and task deadlines. The ease of task switching is determined by factors such as mold changes and material adjustments, while the task deadlines are determined by the deadlines required for each task to be completed. This allows the stamping order to be optimized to ensure a smooth and efficient process.

[0108] Then, after determining the stamping sequence, identify the control points when switching tasks. Switching control points are links that require special attention when switching between tasks, such as mold replacement points and material delivery points.

[0109] Next, based on the identified switching control points, the task stamping strategy is compensated to optimize the task switching process, reduce switching time and costs, and improve overall processing efficiency. For example, compensation measures may include adjusting stamping speed, optimizing mold design, and improving material delivery methods.

[0110] Next, the compensating punch control strategy involves reading the task's geometry and the dimensions of the aluminum foil material, optimizing the task trajectory with the goal of maximizing utilization. The center point of the material's punch distribution is determined, and the optimal punch trajectory is designed based on this center point. This trajectory optimization ensures that the punch maximizes material utilization and minimizes waste during the processing process.

[0111] Then, based on the target punching trajectory, the punch press control strategy is compensated. For example, the punch press control strategy compensation may include adjusting the punching speed, force, position and other parameters of the punch press to ensure that the punch press can process according to the optimal trajectory.

[0112] By compensating the task stamping strategy and punch press control strategy, the configuration of the flexible control system is further optimized to improve the overall performance and efficiency of the stamping process.

[0113] Furthermore, the present application further comprises the following steps:

[0114] Based on the repeated coaxiality and the punch-die-material coaxiality, a coaxial determination point cloud is determined, wherein the coaxial determination point cloud is a three-dimensional distribution point for measuring coaxiality;

[0115] Based on the coaxial determination point cloud, a three-dimensional coaxial detection is performed before and after the single-frequency stamping operation to determine the coaxial determination result;

[0116] Based on the coaxial determination result, coaxial feedback control based on the digital feedback device is performed.

[0117] Specifically, a coaxiality determination point cloud is determined based on the specific requirements for repeated coaxiality and part-die-material coaxiality. A coaxiality determination point cloud is a three-dimensionally distributed set of points used to measure the coaxiality between various elements. For example, point cloud data is generated by selecting specific locations in the mold, the positioning point of the punch, and the center point of the material as determination points.

[0118] Then, after determining the coaxial determination point cloud, a three-dimensional coaxial inspection is performed before and after a single-frequency stamping operation. For example, before the stamping operation, a high-precision measuring device such as a 3D scanner or laser rangefinder is used to scan the coaxial determination point cloud to obtain initial position data. A single-frequency stamping operation is performed to complete a full stamping cycle. After the stamping operation is completed, the coaxial determination point cloud is scanned again to obtain its post-stamping position data. By comparing the position data before and after stamping, the changes in the coaxial determination point cloud are calculated to determine the coaxial determination result.

[0119] Next, based on the coaxial determination results, a digital feedback device is used to perform coaxial feedback control. For example, the coaxial determination results are input into the digital feedback device, which then analyzes and processes the results according to preset rules and algorithms. If the coaxial determination results indicate a coaxial deviation, the digital feedback device calculates the corresponding compensation value or adjustment parameter. The compensation value or adjustment parameter is sent to the actuator of the flexible control system, such as a servo motor or cylinder, so that it can adjust the stamping position or force in real time to correct the coaxial deviation. After feedback control, three-dimensional coaxial detection is performed again to verify the control effect and continuously optimize the adjustment parameters.

[0120] By achieving precise control and adjustment of coaxiality during the stamping process, the processing accuracy and product quality are improved.

[0121] Furthermore, the present application further comprises the following steps:

[0122] Identify the risk characteristics, precision standards, and mechanical requirements of the stamping task, and determine the automation threshold and intelligent threshold;

[0123] Based on the automation threshold and the intelligent threshold, the flexible control system and the digital feedback device are updated and regulated, wherein the update regulation standard is higher than the threshold standard.

[0124] Specifically, the risk factor of rapid stamping is higher than that of ordinary stamping. A comprehensive analysis of the stamping processing tasks is conducted to identify the potential risk characteristics of the stamping processing tasks. Risk characteristics may include material instability, mold wear, equipment failure rate, etc. At the same time, the precision standards and mechanical requirements of the task are clarified, such as the dimensional accuracy and surface quality of the stamped parts, and the stability and response speed of the mechanical system. Based on the identified risk characteristics, precision standards and mechanical requirements, the automation threshold and intelligent threshold are determined. The automation threshold refers to the task link that can effectively reduce human intervention and improve production efficiency through automation. The intelligent threshold refers to the use of algorithms and models to intelligently analyze and optimize the complex and changeable stamping process. Intelligent adaptation and adjustment are carried out based on standard requirements to ensure the dynamic control quality of task execution.

[0125] After determining the automation and intelligence thresholds, the flexible control system and digital feedback controller are updated and regulated. The goal of these updates is to ensure that system performance and stability exceed the thresholds. Based on the automation threshold, the control system's automation level is optimized to reduce human intervention and improve production efficiency. Furthermore, based on the intelligence threshold, algorithms and models are used to enhance the digital feedback controller's intelligent analysis and optimization capabilities, enabling it to more accurately identify and address various issues during the stamping process.

[0126] Through risk characteristics, precision standards and mechanical requirements, the automation threshold and intelligence threshold are determined, and the flexible control system and digital feedback device are updated and regulated, thereby improving the automation and intelligence level of the stamping process, enhancing production efficiency and product quality.

[0127] In summary, the rapid prototyping stamping method provided by this application has the following technical effects:

[0128] By reading the stamping processing task, wherein the stamping processing task is an aluminum foil lunch box type, including at least one processing task; based on the task complexity and batch processing threshold, the production strategy planning is carried out for the stamping processing task, and the task stamping strategy is determined, wherein the planning elements include the stamping type switching strategy and the rapid die change strategy, and the stamping types include progressive and die types; traversing the task stamping strategy, combining the trial punching decision module, performing task-by-task single-frequency trial punching analysis and control decision based on the rapid punching machine, and determining the punching machine control strategy; based on the task stamping strategy and the punching machine control strategy, the flexible control system is controlled. The system is configured and a communication connection is established between the CAD library and the flexible control system; a self-compensation rule based on the control tolerance range is determined and a digital feedback device is set, wherein the self-compensation rule includes coaxial positioning compensation and switching compensation, and coaxial positioning includes repeated coaxiality and punching-die-material coaxiality; in combination with the flexible control system, the stamping control of the stamping processing task is performed, and stamping monitoring is performed synchronously, and dynamic stamping self-regulation is performed in combination with the digital feedback device, thereby realizing the technical goal of flexible adaptive control and achieving the technical effect of smooth processing and high-quality product output.

[0129] The above description of the disclosed embodiments is intended to enable one skilled in the art to implement or use the present application. Various modifications to these embodiments will be readily apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application is not limited to the embodiments shown herein, but is intended to conform to the widest scope consistent with the principles and novel features disclosed herein.

[0130] Obviously, those skilled in the art may make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application is intended to include these modifications and variations.

Claims

1. A rapid prototyping stamping system, characterized in that: The system comprises: A stamping processing task reading component, wherein the stamping processing task reading component is used to read a stamping processing task, wherein the stamping processing task is an aluminum foil lunch box type, including at least one processing task; A task stamping strategy determination component is used to perform production strategy planning for the stamping task based on task complexity and batch processing threshold, and determine the task stamping strategy, wherein planning elements include stamping type switching strategy and rapid die change strategy, and stamping types include progressive type and die type; A punch press control strategy determination component is used to traverse the task punching strategy, combine with the trial punching decision module, perform task-by-task single-frequency trial punching analysis and control decision based on the fast punching machine, and determine the punch press control strategy; A communication connection component, the communication connection component is used to configure the flexible control system based on the task punching strategy and the punching machine control strategy, and establish a communication connection between the CAD library and the flexible control system; A self-compensation rule determination component is used to determine a self-compensation rule based on a control tolerance interval and set a digital feedback device. The self-compensation rule includes coaxial positioning compensation and switching compensation. Coaxial positioning includes repeated coaxiality and punch-die-material coaxiality. A dynamic stamping self-regulating component, which is used to combine with the flexible control system to perform stamping control of the stamping processing task, perform stamping monitoring simultaneously, and perform dynamic stamping self-regulation in combination with the digital feedback device; Among them, before configuring the flexible control system, strategy compensation is performed; A task stamping strategy compensation component, which is used to compensate for the task stamping strategy, includes: Determining the stamping order of the stamping task based on the switching convenience and task time limit of the task switching; a switching control point determination component, the switching control point determination component being used to identify the stamping sequence, perform switching factor analysis based on task connection, and determine the switching control point; A task stamping strategy compensation component, wherein the task stamping strategy compensation component is used to compensate the task stamping strategy based on the switching control point; A punch press control strategy compensation component, which is used to compensate for the punch press control strategy, includes: Reading the task geometry information and the size of the aluminum foil material, optimizing the task trajectory based on the stamping task with the goal of maximizing utilization, and determining the target stamping trajectory, wherein the task trajectory is determined based on the center point of the material stamping distribution; a target stamping trajectory determination component, the target stamping trajectory determination component being used to compensate the punch press control strategy based on the target stamping trajectory; The coaxial monitoring dimensions in the synchronous stamping monitoring include: A coaxial determination point cloud determination component is used to determine a coaxial determination point cloud based on the repeated coaxiality and the punch-die-material coaxiality, wherein the coaxial determination point cloud is a three-dimensional distribution point for measuring coaxiality; a coaxial determination result determination component, the coaxial determination result determination component being used to perform three-dimensional coaxial detection before and after a single-frequency stamping operation based on the coaxial determination point cloud to determine a coaxial determination result; A coaxial feedback control component is used to perform coaxial feedback control based on the digital feedback device based on the coaxial determination result.

2. The system according to claim 1, wherein The test punching decision module includes a simulation test punching unit and an optimization control unit. The simulation test punching unit has a built-in mechanical model of the rapid punching machine. The optimization control unit is obtained through supervised training based on the finite element analysis principle.

3. The system according to claim 2, wherein: Conduct task-by-task single-frequency test punching analysis and control decision-making based on the rapid punching machine, including: A single task feature extraction component, the single task feature extraction component is used to traverse the task stamping strategy and extract single task features; a simulated stamping data determination component, the simulated stamping data determination component being used to determine simulated stamping data based on the characteristics of the single task and in combination with the simulated test stamping unit, by performing stamping control processing based on the mechanical model, wherein a complete stamping cycle of a single stamping frequency of each stamping task is used as a simulation standard; A punch press control strategy determination component is used to combine with the optimization control unit to perform control bias positioning and optimization decision-making on the simulated punching data, and integrate and determine the punch press control strategy.

4. The system according to claim 3, wherein: Control bias positioning and optimization decision-making are performed on the simulated stamping data, including: A deflection positioning point identification component is used to identify a deflection positioning point, and if the deflection positioning point is vacant, determine the punch press control strategy based on the simulated punching data; a point-by-point targeted adjustment determination component, wherein the point-by-point targeted adjustment determination component is configured to use point-by-point targeted adjustment as an optimization control method if the number of the bias positioning points is less than or equal to a threshold value; A hierarchical iterative optimization determination component is used to use hierarchical iterative optimization based on finite element control as an optimization control method if the bias positioning points meet a quantity threshold; An optimized control mode determination component is used therein, wherein the optimized control mode includes: Based on the deflection positioning point, determining a first preset number of pre-adjustment points, and randomly perturbing the pre-adjustment points to determine a hierarchical optimization solution, where the first preset number is a positive integer greater than or equal to 1 and less than or equal to the total number of positioning points; The taboo library determination component is used to add the optimization method of the optimal solution into the taboo library, and set the first number of iterations as the lifting standard and the second number of iterations as the optimization convergence condition, and the first number of iterations is less than the second number of iterations.

5. The system according to claim 1, wherein: The system further comprises: An automation threshold determination component, the automation threshold determination component is used to identify the risk characteristics, accuracy standards and mechanical requirements of the stamping task, and determine the automation threshold and intelligent threshold; An update control component is used to update and control the flexible control system and the digital feedback device based on the automation threshold and the intelligent threshold, wherein the update control standard is higher than the threshold standard.

6. A rapid prototyping stamping method, characterized in that: The method is performed by a rapid prototyping stamping processing system according to any one of claims 1 to 5, and the method comprises: Reading a stamping processing task, wherein the stamping processing task is an aluminum foil lunch box type, including at least one processing task; Based on the task complexity and batch processing threshold, a production strategy is planned for the stamping task to determine the task stamping strategy. The planning elements include a stamping type switching strategy and a quick die change strategy. The stamping types include progressive and die-type. Traversing the task punching strategy, combining with the test punching decision module, performing task-by-task single-frequency test punching analysis and control decision based on the fast punching machine, and determining the punching machine control strategy; Based on the task punching strategy and the punch press control strategy, the flexible control system is configured, and a communication connection between the CAD library and the flexible control system is established; Determine the self-compensation rules based on the control tolerance range and set the digital feedback device. The self-compensation rules include coaxial positioning compensation and switching compensation. Coaxial positioning includes repeated coaxiality and punch-die-material coaxiality. In combination with the flexible control system, the stamping control of the stamping processing task is carried out, stamping monitoring is carried out synchronously, and dynamic stamping self-regulation is carried out in combination with the digital feedback device.

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