CN117171920B - Aluminum foil cutlery box stamping forming control method and system - Google Patents

Aluminum foil cutlery box stamping forming control method and system Download PDF

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CN117171920B
CN117171920B CN202311445958.7A CN202311445958A CN117171920B CN 117171920 B CN117171920 B CN 117171920B CN 202311445958 A CN202311445958 A CN 202311445958A CN 117171920 B CN117171920 B CN 117171920B
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aluminum foil
cutlery box
data
grid
foil cutlery
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CN117171920A (en
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陈林
陈城
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Enge Intelligent Technology Nantong Co ltd
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Enge Intelligent Technology Nantong Co ltd
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

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Abstract

The invention relates to the technical field of stamping forming, and provides a method and a system for controlling stamping forming of an aluminum foil cutlery box, wherein the method comprises the following steps: constructing design information of the aluminum foil cutlery box; obtaining equipment characteristics of stamping equipment; establishing a digital twin model through equipment characteristics, carrying out machining simulation based on design information through the digital twin model, and recording machining simulation data; carrying out data analysis on the processing simulation data, determining abnormal characteristic distribution, and constructing a structural reinforcing rib according to the abnormal characteristic distribution; executing control optimizing in processing simulation data, carrying out aluminum foil cutlery box stamping forming control according to control optimizing results and structural reinforcing ribs, solving the technical problem that the quality of the manufactured aluminum foil cutlery box product cannot be guaranteed due to poor control precision and stability of the aluminum foil cutlery box stamping forming step, realizing high-precision control of the aluminum foil cutlery box stamping forming step, improving the production efficiency and the product quality of the aluminum foil cutlery box stamping forming, and improving the stability technical effect of the aluminum foil cutlery box.

Description

Aluminum foil cutlery box stamping forming control method and system
Technical Field
The invention relates to the technical field of stamping forming, in particular to a control method and a control system for stamping forming of an aluminum foil cutlery box.
Background
In the production process of aluminum foil cutlery box, stamping die plays very important effect, but, current stamping die has certain shortcoming, like the aluminum foil cutlery box is stamped the back and is blocked in the mould easily, has seriously influenced the production efficiency of aluminum foil cutlery box, simultaneously, to manual adjustment, operating personnel's technical level can influence the result of adjustment, and to automated production line, the accuracy and the stability of manipulator also can influence the quality of adjustment time and precision, in general, be difficult to realize high accuracy's control to influence the quality and the stability of aluminum foil cutlery box.
In summary, in the prior art, the control precision and stability of the stamping forming step of the aluminum foil cutlery box are poor, and thus the quality of the product of the aluminum foil cutlery box cannot be guaranteed.
Disclosure of Invention
The application aims to solve the technical problem that the quality of the manufactured aluminum foil cutlery box cannot be guaranteed due to poor control precision and stability of the aluminum foil cutlery box stamping forming step in the prior art.
In view of the above problems, the present application provides a method and a system for controlling the punch forming of aluminum foil cutlery boxes.
In a first aspect of the present disclosure, a method for controlling punch forming of an aluminum foil cutlery box is provided, wherein the method comprises: constructing design information of the aluminum foil cutlery box, wherein the design information is acquired through accessing a design system, and the design information comprises size information, structure information and material information; obtaining equipment characteristics of stamping equipment, wherein the equipment characteristics are constructed by collecting historical working information of the equipment, and the equipment characteristics are time sequence compensation characteristics; establishing a digital twin model through the equipment characteristics, and carrying out machining simulation based on the design information through the digital twin model, wherein the method specifically comprises the following steps: configuring a parameter limit interval, wherein parameters comprise blank holder force, friction lubrication conditions and die gaps; setting experimental granularity, dividing the parameter limit interval by the experimental granularity, and determining simulation parameters; finishing machining simulation through the simulation parameters, and recording machining simulation data; carrying out data analysis on the processing simulation data, determining abnormal characteristic distribution, and constructing a structural reinforcing rib according to the abnormal characteristic distribution; and executing control optimizing in the processing simulation data, and controlling the punch forming of the aluminum foil cutlery box according to the control optimizing result and the structural reinforcing ribs.
In another aspect of the present disclosure, an aluminum foil cutlery box punch forming control system is provided, wherein the system comprises: the design information construction module is used for constructing design information of the aluminum foil cutlery box, the design information is obtained through accessing a design system, and the design information comprises size information, structural information and material information; the device characteristic obtaining module is used for obtaining device characteristics of the stamping device, wherein the device characteristics are constructed by collecting historical working information of the device, and the device characteristics are time sequence compensation characteristics; the twin model building module is used for building a digital twin model through the equipment characteristics and carrying out machining simulation based on the design information through the digital twin model, and specifically comprises the following steps: the limit interval configuration module is used for configuring parameter limit intervals, wherein the parameters comprise blank holder force, friction lubrication conditions and die gaps; the interval segmentation module is used for setting experimental granularity, and determining simulation parameters by segmenting the parameter limit interval through the experimental granularity; the processing simulation module is used for completing processing simulation through the simulation parameters and recording processing simulation data; the data analysis module is used for carrying out data analysis on the processing simulation data, determining abnormal characteristic distribution and constructing a structural reinforcing rib according to the abnormal characteristic distribution; and the stamping forming control module is used for executing control optimizing in the processing simulation data and controlling the stamping forming of the aluminum foil cutlery box according to the control optimizing result and the structural reinforcing ribs.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
because the design information for constructing the aluminum foil cutlery box is adopted; obtaining equipment characteristics of stamping equipment; establishing a digital twin model through equipment characteristics, carrying out machining simulation based on design information through the digital twin model, and recording machining simulation data; carrying out data analysis on the processing simulation data, determining abnormal characteristic distribution, and constructing a structural reinforcing rib according to the abnormal characteristic distribution; control optimizing is executed in the processing simulation data, and the stamping forming control of the aluminum foil cutlery box is carried out according to the control optimizing result and the structural reinforcing ribs, so that the high-precision control of the stamping forming step of the aluminum foil cutlery box is realized, the production efficiency and the product quality of the stamping forming of the aluminum foil cutlery box are improved, and the technical effect of the stability of the aluminum foil cutlery box is improved.
The foregoing description is only an overview of the technical solutions of the present application, and may be implemented according to the content of the specification in order to make the technical means of the present application more clearly understood, and in order to make the above-mentioned and other objects, features and advantages of the present application more clearly understood, the following detailed description of the present application will be given.
Drawings
Fig. 1 is a schematic diagram of a possible flow chart of a method for controlling punch forming of an aluminum foil cutlery box according to an embodiment of the application;
fig. 2 is a schematic diagram of a possible flow of construction of a structural reinforcing rib in a control method for stamping forming an aluminum foil cutlery box according to an embodiment of the application;
fig. 3 is a schematic diagram of a possible structure of an aluminum foil cutlery box punch forming control system according to an embodiment of the disclosure.
Reference numerals illustrate: the system comprises a design information construction module 100, an equipment characteristic obtaining module 200, a twin model establishment module 300, a limit interval configuration module 400, an interval segmentation module 500, a processing simulation module 600, a data analysis module 700 and a punch forming control module 800.
Detailed Description
Exemplary embodiments of the present invention will now be described with reference to the accompanying drawings, in which various details of the embodiments of the present invention are included to facilitate understanding, and are to be considered merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
Example 1
As shown in fig. 1, an embodiment of the present application provides a method for controlling punch forming of an aluminum foil cutlery box, where the method includes:
step-1: constructing design information of the aluminum foil cutlery box, wherein the design information is acquired through accessing a design system, and the design information comprises size information, structure information and material information;
step-2: obtaining equipment characteristics of stamping equipment, wherein the equipment characteristics are constructed by collecting historical working information of the equipment, and the equipment characteristics are time sequence compensation characteristics;
in general, the aluminum foil cutlery box in the die cavity can be automatically pushed out through the action of the sliding plate and the extrusion spring, so that the manual picking process is avoided, the production efficiency is improved, the possibility of damaging the aluminum foil cutlery box is reduced, but in the actual production process, the aluminum foil cutlery box obtained through the action of the sliding plate and the extrusion spring is found to be inevitably subjected to tiny deformation due to the interaction of the force, and is not applicable to the scene with higher product quality requirements;
the structure reinforcing rib is built on the die essentially, so that the aluminum foil cutlery box is found, the aluminum foil cutlery box obtained through the action of the sliding plate and the extrusion spring can be guaranteed to be damaged due to the interaction of force, and on the other hand, the deformation of the aluminum foil cutlery box due to extrusion and vibration in the conveying process can be reduced through the structure reinforcing rib, and the loss in the conveying process is reduced;
the design information such as the size information, the structure information, the material information and the like of the aluminum foil cutlery box is obtained by accessing a design system, and can be from design documents, CAD models, material databases and the like of products. By collecting the information, a design information base of the aluminum foil cutlery box can be constructed, and support is provided for subsequent design and manufacturing processes.
The equipment characteristics of the stamping equipment are constructed by collecting the historical working information of the equipment, and the equipment characteristics comprise various information such as the running state, the abrasion condition and the maintenance requirement of the equipment, and can be used for subsequent tasks such as equipment performance prediction and maintenance strategy formulation. Meanwhile, the equipment characteristics of the stamping equipment are defined as time sequence compensation characteristics, which means that the characteristics can reflect the real-time state and performance of the equipment and provide basis for timely maintenance and adjustment of the equipment.
In general, the design information of the aluminum foil cutlery box is obtained through the access design system, and the equipment characteristics of the stamping equipment are constructed through collecting the historical work information of the equipment, so that data support is provided for subsequent optimization and control.
Step-3: establishing a digital twin model through the equipment characteristics, and carrying out machining simulation based on the design information through the digital twin model, wherein the method specifically comprises the following steps:
step-4: configuring a parameter limit interval, wherein parameters comprise blank holder force, friction lubrication conditions and die gaps;
step-5: setting experimental granularity, dividing the parameter limit interval by the experimental granularity, and determining simulation parameters;
step-6: finishing machining simulation through the simulation parameters, and recording machining simulation data;
the digital twin model is built through the equipment characteristics, is based on integration of a physical model, sensor updating, history and real-time data, and can connect the performance of actual production equipment with a virtual model, so that the equipment is monitored and predicted in a virtual environment. Through the digital twin model, the running state of the equipment can be monitored in real time, the maintenance requirement of the equipment is predicted, and the performance of the equipment is optimized.
The limit interval of a group of parameters is configured, the parameters comprise blank holder force, friction lubrication condition and die clearance, the parameters are key technological parameters in the stamping forming process, the key technological parameters have important influence on the quality and efficiency of products, and an effective parameter range can be provided for subsequent simulation experiments by setting the limit interval of the parameters.
Setting experimental granularity, and dividing a parameter limit interval through the experimental granularity, wherein the experimental granularity depends on simulation precision requirements; then, it is necessary to determine simulation parameters for each segment, which may be average, median or other statistical values, depending on the simulation algorithm selection;
and finishing machining simulation by the simulation parameters determined in the previous step, and recording related data in the machining simulation process. The processing simulation data include, but are not limited to, stress conditions of the mold, deformation conditions of the material, and processing time.
In general, by establishing a digital twin model, configuring a parameter limit interval, setting experimental granularity, determining simulation parameters, finishing processing simulation and recording data, the stamping forming process of the aluminum foil cutlery box is simulated and optimized in a virtual environment.
Step-7: carrying out data analysis on the processing simulation data, determining abnormal characteristic distribution, and constructing a structural reinforcing rib according to the abnormal characteristic distribution;
step-8: and executing control optimizing in the processing simulation data, and controlling the punch forming of the aluminum foil cutlery box according to the control optimizing result and the structural reinforcing ribs.
Deep analysis and processing of process simulation data: firstly, determining the distribution situation of abnormal characteristics by a data analysis technology (such as statistics, machine learning and the like), wherein the abnormal characteristic distribution comprises, but is not limited to, stress peaks of a die, deformation of materials and overlong or too short processing time; then, the structural reinforcing ribs are constructed according to the distribution condition of the abnormal characteristics, and the structural reinforcing ribs can be formed on a die, so that the forming effect and stability of the aluminum foil cutlery box are improved in the actual production process.
Control optimizing operations are performed in the process simulation data, including using optimization algorithms (e.g., gradient descent, genetic algorithms, etc.) to find optimal control parameters, including blank holder force, friction lubrication conditions, die gap, etc. In particular, performing control optimization within the process simulation data refers to optimizing within all data spaces, not just existing specific values, which means that an optimal combination of control parameters can be searched throughout the data space.
The aluminum foil cutlery box is subjected to stamping forming control according to the control optimizing result and the structural reinforcing rib in the last step, control parameters such as trimming force, friction lubrication conditions, die gaps and the like are adjusted, and the die is adjusted according to the position and the height of the structural reinforcing rib, so that the stamping forming process of the aluminum foil cutlery box can be optimized, and the forming efficiency and quality are improved.
In general, through deep analysis and processing of processing simulation data, abnormal characteristic distribution is determined, structural reinforcing ribs are constructed, then control optimizing is performed in the whole data space, and finally, the optimal control of the stamping forming of the aluminum foil cutlery box is realized.
Further, the method of the present application further comprises:
dividing grids of the formed aluminum foil cutlery box to establish a cutlery box grid area;
extracting abnormal simulation characteristics of the processing simulation data, and performing grid distribution authentication based on the abnormal simulation characteristics and the grid area of the cutlery box;
positioning the universal grid position according to the grid distribution authentication result;
and determining abnormal characteristic distribution according to the universal grid position.
Using Computer Aided Design (CAD) software or similar tools to grid the aluminum foil cutlery boxes will divide the cutlery boxes into a series of small areas or cells (grids) that can be conveniently used in subsequent simulation and optimization processes.
Deep analysis of the data obtained during the previous simulated machining simulation process, conventionally, by setting some threshold values (for example, parameter values out of the normal range), abnormal characteristics in the data, which represent problems during the machining process, such as poor molding, material waste, and the like, can be identified.
The distribution condition of each grid is authenticated according to the abnormal simulation characteristics and the grid areas of the cutlery boxes divided before, so that the grid areas which are possibly problematic are found out, and directions are provided for subsequent optimization. Generic grid locations are those grid locations that maintain optimal performance in most cases. Through the grid distribution authentication of the last step, the grid areas which can cause problems in the processing process are found out and are determined to be universal grid positions.
According to the distribution condition of the grid area with the problem, which corresponds to the general grid position, found before, the distribution condition of the abnormal characteristics is determined, and which positions are easy to have which specific problems are more accurately identified, so that a basis is provided for subsequent optimization and improvement. Technical support is provided by continuously optimizing the aluminum foil cutlery box.
Further, the method of the present application further comprises:
setting a body proportion judging threshold value and an association proportion judging threshold value;
grid abnormal characteristic frequency judgment is carried out on all the cutlery box grid areas through the body proportion judgment threshold value, and a primary screening grid set is obtained;
identifying adjacent grids of the primary screening grid set, and establishing a grid corresponding relation between the adjacent grids and the primary screening grid;
when the universal grid is determined through any primary screen grid, processing simulation data without abnormal characteristics of the primary screen grid is called and used as re-determination data;
judging the abnormal grid characteristic frequency of the complex judgment data in the adjacent grids through the association proportion judgment threshold value, and generating a judgment result;
and taking the primary screen lattice with the judgment result of passing judgment as a general grid.
Setting two judging thresholds, including an ontology proportion judging threshold and an association proportion judging threshold; and sequentially judging the abnormal characteristic frequency of each grid in the grid area of all the cutlery boxes through the body proportion judging threshold value to obtain a primary screening grid set, wherein the primary screening grid set refers to a grid set which is preliminarily judged to possibly have abnormal characteristics.
The adjacent grids of each grid in the primary screening grid set are identified, and the corresponding relation between the adjacent grids and the primary screen grids is established, so that the data of the adjacent grids can be conveniently used in the subsequent judging process.
When judging the universal grids, calling processing simulation data which are not judged to have abnormal characteristics for each primary screen grid, wherein the processing simulation data with the abnormal characteristics are called as re-judging data, and further evaluating whether the primary screen grid can be judged to be the universal grid; and judging the abnormal characteristic frequency of the complex judgment data in the adjacent grids by using the association proportion judgment threshold value, and generating a judgment result according to the abnormal characteristic frequency.
Comparing the determination result: if a particular primary screen grid is determined to be free of anomaly, the primary screen grid is identified as a generic grid. By arranging the universal grid, technical support is provided for finer stamping forming control, and further the forming quality is gradually improved.
Further, the method of the present application, as shown in fig. 2, further includes:
obtaining feature density and feature values according to the abnormal feature distribution, wherein the feature values are abnormal feature mean values of the primary screen grids passing through judgment;
and taking the grid positions of the abnormal characteristic distribution as the positions of the structural reinforcing ribs, and configuring the heights of the structural reinforcing ribs according to the characteristic density and the characteristic value to complete the construction of the structural reinforcing ribs.
In the abnormal feature distribution, for each grid, calculating the feature density and the feature value thereof, wherein the feature density can be understood as the density degree of the abnormal features in each grid, and the feature value can be understood as the average intensity of the abnormal features in each grid; and taking the grid positions of the abnormal feature distribution as the positions of the structural reinforcing ribs, wherein the positions of the structural reinforcing ribs refer to the positions where the structural reinforcing ribs are constructed on the die.
Determining the height of the structural stiffener according to the feature density and the feature value of each grid comprises: it is first necessary to define feature densities and feature values for each grid, including but not limited to the shape, size, angle, orientation of the grid, or other parameters that may describe the morphology of the grid. Once these characteristics are determined, different structural stiffener height configurations, such as Finite Element Analysis (FEA) or finite difference method (FEM), can be tried by some simulation experiment, simulating the different configurations, and then evaluating the performance of each configuration. The process of evaluation may include observation and analysis of the simulation results. For example, various parameters such as deformation, strain, residual stress and the like of the aluminum foil cutlery box can be simulated under different configurations, so that which configuration is the best in terms of improving the molding efficiency and ensuring the product quality can be determined. And (3) carrying out iterative optimization by multiple experiments, comparing the parameters of multiple rounds of experiments, and finally configuring to obtain the height of the structural reinforcing rib.
The structural reinforcing ribs are constructed on the mold according to the height of the structural reinforcing ribs obtained by configuration, and the method involves modifying the original mold or manufacturing a new mold. Through analysis of abnormal characteristic distribution, the position and the height of the structural reinforcing ribs can be effectively determined, the product quality is ensured, and meanwhile, the structural reinforcing rib height configuration of the production efficiency can be improved to the greatest extent, so that the structure of the aluminum foil cutlery box is optimized, and the forming effect and the stability of the aluminum foil cutlery box are improved.
Further, the method of the present application further comprises:
performing data analysis on the processing simulation data, and establishing a fitting curve of control parameters and simulation results;
performing optimizing search of control parameters according to the fitted curve to generate a control optimizing space;
and taking the control optimizing space as a control optimizing result.
And carrying out deep data analysis on the processing simulation data, wherein the data analysis comprises the steps of data cleaning, data preprocessing and the like. Then, a relation between the control parameters (such as the blank holder force, the friction lubrication condition, the die clearance and the like) and the simulation result is established, and a fitting curve is established to describe the relation, wherein the fitting curve can intuitively show the relation between the control parameters and the simulation result.
And carrying out optimizing search on control parameters according to the fitting curve. An optimization algorithm (such as a gradient descent method, a genetic algorithm and the like) is used for searching the optimal control parameters, and a control optimizing space is generated, wherein the control optimizing space comprises the change condition of a simulation result under different control parameter combinations.
And taking the generated control optimizing space as a control optimizing result. The control optimizing result can provide reference for the subsequent actual production process and help to determine the optimal control parameter combination, so that the forming efficiency and quality of the aluminum foil cutlery box are improved. Through the iterative and optimizing process, the aluminum foil cutlery box is continuously simulated and optimized, so that the molding efficiency and quality are gradually improved.
Further, the method of the present application further comprises:
obtaining a raw material fluctuation interval of an aluminum foil raw material, and extracting limit raw material data of the raw material fluctuation interval;
taking the limit raw material data as a raw material sample, and performing a punch forming test of the aluminum foil cutlery box by controlling an optimizing result and a structural reinforcing rib to obtain a test result;
extracting abnormal data of the test result, and generating compensation information through the abnormal data;
and adjusting the control optimizing result and the structural reinforcing ribs according to the compensation information.
The used aluminum foil raw material is known and analyzed, and the fluctuation range of the raw material, namely the variation range of the raw material performance parameters, and the limit raw material data, namely the worst and best conditions in the fluctuation range, are known.
And (3) taking the limit log data determined in the first step as a sample, performing punch forming test of the aluminum foil cutlery box by using the existing control optimizing result (comprising the found optimal control parameters, the position of the structural reinforcing rib and the like), and obtaining a test result.
And analyzing and processing the test result obtained in the last step to find out abnormal data in the test result, wherein the abnormal data may be abnormal data caused by raw materials, equipment or processes and the like. Corresponding compensation information is then generated from these anomaly data, which can be used to adjust the next optimization and control strategy.
And according to the compensation information, the existing control optimizing result and the structural reinforcing ribs are adjusted, wherein the control parameters can be modified, the positions and the heights of the structural reinforcing ribs can be adjusted, and the like, so that the stamping forming effect and the stability can be optimized. In general, the punch forming control strategy and effect of the aluminum foil cutlery box can be gradually optimized through continuous testing, analysis and adjustment.
Further, the method of the present application further comprises:
acquiring life cycle data of the stamping equipment, and setting a first time-sharing node according to the life cycle data;
obtaining maintenance data of the stamping equipment, and setting a second time-sharing node according to the maintenance data, wherein the second time-sharing node is provided with a characteristic reset attenuation mark;
performing data segmentation on the historical working information of the equipment through the first time-sharing node and the second time-sharing node, and performing feature enhancement on a segmentation result;
and establishing the device characteristics based on the characteristic enhancement result.
The life cycle data of the stamping equipment comprises various information such as the service time, the running condition and the like of the equipment, and a first time-sharing node is set according to the life cycle data of the stamping equipment and can be a time point;
acquiring equipment maintenance data, wherein the equipment maintenance data comprises various information such as equipment maintenance records, types and amounts of used lubricants and the like; setting a second time-sharing node according to the maintenance data of the stamping equipment, wherein the second time-sharing node can be a time point after equipment maintenance; at the same time, the second time-sharing node is given a characteristic reset decay identification, which means that at the second time-sharing node, some performance of the device may fade or change.
The process of dividing the historical working information of the equipment comprises the following steps: the first time sharing node and the second time sharing node may be used to divide the device history operational information into parts, the division results corresponding to different phases of the device lifecycle, in other words to different phases of the device maintenance. After segmentation, feature enhancement is performed on the segmentation results, including steps of cleaning, processing, transforming, etc. of the data to enhance the readability and usability of the data.
The device characteristics are established based on the characteristic enhancement result of the last step, and the device characteristics comprise various information such as the running state, the abrasion condition, the maintenance requirement and the like of the device, and can be used for subsequent tasks such as device performance prediction, maintenance strategy formulation and the like. In general, the historical working information of the equipment is segmented and the characteristics are enhanced by acquiring and analyzing the life cycle data and the maintenance data of the equipment, so that the equipment characteristics with application value are in a normal working state in the life cycle, and repeated jump into the maintenance cycle of the equipment caused by the maintenance state of the equipment characteristics without application value in the life cycle is avoided.
In summary, the method and the system for controlling the stamping forming of the aluminum foil cutlery box provided by the embodiment of the application have the following technical effects:
1. the stamping forming process of the aluminum foil cutlery box is carried out in an automatic production line, so that the automatic control of each production step is realized, and the production efficiency and the product quality are improved.
2. The automatic die adjusting device is adopted, the adjusting time and the accuracy of the die are controlled through a computer program, the die replacing time is shortened, and the production efficiency is improved.
3. And the high-precision control is realized by controlling various parameters in the stamping forming process through a computer program, and the quality and stability of the aluminum foil cutlery box are improved.
4. The automatic production line is adopted, so that the labor intensity of operators is reduced, and meanwhile, the mould adjustment and the stamping forming process are controlled through a computer program, so that the skill requirement and the workload of the operators are reduced.
5. The characteristic density and the characteristic value are obtained according to the abnormal characteristic distribution, wherein the characteristic value is the abnormal characteristic mean value of the primary screen grids passing the judgment; and taking the grid positions of abnormal characteristic distribution as the positions of the structural reinforcing ribs, and configuring the heights of the structural reinforcing ribs according to the characteristic density and the characteristic value to complete the construction of the structural reinforcing ribs. Through analysis of abnormal characteristic distribution, the position and the height of the structural reinforcing ribs can be effectively determined, the product quality is ensured, and meanwhile, the structural reinforcing rib height configuration of the production efficiency can be improved to the greatest extent, so that the structure of the aluminum foil cutlery box is optimized, and the forming effect and the stability of the aluminum foil cutlery box are improved.
Example two
Based on the same inventive concept as the aluminum foil cutlery box punch forming control method in the foregoing embodiment, as shown in fig. 3, an embodiment of the present application provides an aluminum foil cutlery box punch forming control system, wherein the system includes:
the design information construction module 100 is used for constructing design information of the aluminum foil cutlery box, wherein the design information is acquired through accessing a design system and comprises size information, structural information and material information;
the device feature obtaining module 200 is configured to obtain a device feature of the stamping device, where the device feature is constructed by collecting historical working information of the device, and the device feature is a time sequence compensation feature;
the twin model building module 300 is configured to build a digital twin model according to the device characteristics, and perform machining simulation according to the digital twin model based on the design information, and specifically includes:
the limit interval configuration module 400 is configured to configure parameter limit intervals, wherein the parameters include blank holder force, friction lubrication condition and die gap;
the interval segmentation module 500 is configured to set an experimental granularity, segment the parameter limit interval by the experimental granularity, and determine a simulation parameter;
the machining simulation module 600 is used for finishing machining simulation through the simulation parameters and recording machining simulation data;
the data analysis module 700 is configured to perform data analysis on the machining simulation data, determine abnormal feature distribution, and construct a structural reinforcing rib according to the abnormal feature distribution;
the punch forming control module 800 is configured to perform control optimizing in the processing simulation data, and perform punch forming control of the aluminum foil cutlery box according to the control optimizing result and the structural reinforcing rib.
Further, the system further comprises:
dividing grids of the formed aluminum foil cutlery box to establish a cutlery box grid area;
extracting abnormal simulation characteristics of the processing simulation data, and performing grid distribution authentication based on the abnormal simulation characteristics and the grid area of the cutlery box;
positioning the universal grid position according to the grid distribution authentication result;
and determining abnormal characteristic distribution according to the universal grid position.
Further, the system further comprises:
setting a body proportion judging threshold value and an association proportion judging threshold value;
grid abnormal characteristic frequency judgment is carried out on all the cutlery box grid areas through the body proportion judgment threshold value, and a primary screening grid set is obtained;
identifying adjacent grids of the primary screening grid set, and establishing a grid corresponding relation between the adjacent grids and the primary screening grid;
when the universal grid is determined through any primary screen grid, processing simulation data without abnormal characteristics of the primary screen grid is called and used as re-determination data;
judging the abnormal grid characteristic frequency of the complex judgment data in the adjacent grids through the association proportion judgment threshold value, and generating a judgment result;
and taking the primary screen lattice with the judgment result of passing judgment as a general grid.
Further, the system further comprises:
obtaining feature density and feature values according to the abnormal feature distribution, wherein the feature values are abnormal feature mean values of the primary screen grids passing through judgment;
and taking the grid positions of the abnormal characteristic distribution as the positions of the structural reinforcing ribs, and configuring the heights of the structural reinforcing ribs according to the characteristic density and the characteristic value to complete the construction of the structural reinforcing ribs.
Further, the system further comprises:
performing data analysis on the processing simulation data, and establishing a fitting curve of control parameters and simulation results;
performing optimizing search of control parameters according to the fitted curve to generate a control optimizing space;
and taking the control optimizing space as a control optimizing result.
Further, the system further comprises:
obtaining a raw material fluctuation interval of an aluminum foil raw material, and extracting limit raw material data of the raw material fluctuation interval;
taking the limit raw material data as a raw material sample, and performing a punch forming test of the aluminum foil cutlery box by controlling an optimizing result and a structural reinforcing rib to obtain a test result;
extracting abnormal data of the test result, and generating compensation information through the abnormal data;
and adjusting the control optimizing result and the structural reinforcing ribs according to the compensation information.
Further, the system further comprises:
acquiring life cycle data of the stamping equipment, and setting a first time-sharing node according to the life cycle data;
obtaining maintenance data of the stamping equipment, and setting a second time-sharing node according to the maintenance data, wherein the second time-sharing node is provided with a characteristic reset attenuation mark;
performing data segmentation on the historical working information of the equipment through the first time-sharing node and the second time-sharing node, and performing feature enhancement on a segmentation result;
and establishing the device characteristics based on the characteristic enhancement result.
Any of the steps of the methods described above may be stored as computer instructions or programs in a non-limiting computer memory and may be called by a non-limiting computer processor to identify any of the methods to implement embodiments of the present application, without unnecessary limitations.
Further, the first or second element may not only represent a sequential relationship, but may also represent a particular concept, and/or may be selected individually or in whole among a plurality of elements. It will be apparent to those skilled in the art that various modifications and variations can be made in the present application without departing from the scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the present application and the equivalents thereof, the present application is intended to cover such modifications and variations.

Claims (8)

1. The stamping forming control method for the aluminum foil cutlery box is characterized by comprising the following steps of:
constructing design information of the aluminum foil cutlery box, wherein the design information is acquired through accessing a design system, and the design information comprises size information, structure information and material information;
obtaining equipment characteristics of stamping equipment, wherein the equipment characteristics are constructed by collecting historical working information of the equipment, and the equipment characteristics are time sequence compensation characteristics;
establishing a digital twin model through the equipment characteristics, and carrying out machining simulation based on the design information through the digital twin model, wherein the method specifically comprises the following steps:
configuring a parameter limit interval, wherein parameters comprise blank holder force, friction lubrication conditions and die gaps;
setting experimental granularity, dividing the parameter limit interval by the experimental granularity, and determining simulation parameters;
finishing machining simulation through the simulation parameters, and recording machining simulation data;
carrying out data analysis on the processing simulation data, determining abnormal characteristic distribution, and constructing a structural reinforcing rib according to the abnormal characteristic distribution;
and executing control optimizing in the processing simulation data, and controlling the punch forming of the aluminum foil cutlery box according to the control optimizing result and the structural reinforcing ribs.
2. The method of claim 1, wherein the method further comprises:
dividing grids of the formed aluminum foil cutlery box to establish a cutlery box grid area;
extracting abnormal simulation characteristics of the processing simulation data, and performing grid distribution authentication based on the abnormal simulation characteristics and the grid area of the cutlery box;
positioning the universal grid position according to the grid distribution authentication result;
and determining abnormal characteristic distribution according to the universal grid position.
3. The method of claim 2, wherein the method further comprises:
setting a body proportion judging threshold value and an association proportion judging threshold value;
grid abnormal characteristic frequency judgment is carried out on all the cutlery box grid areas through the body proportion judgment threshold value, and a primary screening grid set is obtained;
identifying adjacent grids of the primary screening grid set, and establishing a grid corresponding relation between the adjacent grids and the primary screening grid;
when the universal grid is determined through any primary screen grid, processing simulation data without abnormal characteristics of the primary screen grid is called and used as re-determination data;
judging the abnormal grid characteristic frequency of the complex judgment data in the adjacent grids through the association proportion judgment threshold value, and generating a judgment result;
and taking the primary screen lattice with the judgment result of passing judgment as a general grid.
4. A method as claimed in claim 3, wherein the method further comprises:
obtaining feature density and feature values according to the abnormal feature distribution, wherein the feature values are abnormal feature mean values of the primary screen grids passing through judgment;
and taking the grid positions of the abnormal characteristic distribution as the positions of the structural reinforcing ribs, and configuring the heights of the structural reinforcing ribs according to the characteristic density and the characteristic value to complete the construction of the structural reinforcing ribs.
5. The method of claim 1, wherein the method further comprises:
performing data analysis on the processing simulation data, and establishing a fitting curve of control parameters and simulation results;
performing optimizing search of control parameters according to the fitted curve to generate a control optimizing space;
and taking the control optimizing space as a control optimizing result.
6. The method of claim 5, wherein the method further comprises:
obtaining a raw material fluctuation interval of an aluminum foil raw material, and extracting limit raw material data of the raw material fluctuation interval;
taking the limit raw material data as a raw material sample, and performing a punch forming test of the aluminum foil cutlery box by controlling an optimizing result and a structural reinforcing rib to obtain a test result;
extracting abnormal data of the test result, and generating compensation information through the abnormal data;
and adjusting the control optimizing result and the structural reinforcing ribs according to the compensation information.
7. The method of claim 1, wherein the method further comprises:
acquiring life cycle data of the stamping equipment, and setting a first time-sharing node according to the life cycle data;
obtaining maintenance data of the stamping equipment, and setting a second time-sharing node according to the maintenance data, wherein the second time-sharing node is provided with a characteristic reset attenuation mark;
performing data segmentation on the historical working information of the equipment through the first time-sharing node and the second time-sharing node, and performing feature enhancement on a segmentation result;
and establishing the device characteristics based on the characteristic enhancement result.
8. An aluminum foil cutlery box stamping forming control system, which is characterized by being used for implementing the aluminum foil cutlery box stamping forming control method of any one of claims 1-7, comprising:
the design information construction module is used for constructing design information of the aluminum foil cutlery box, the design information is obtained through accessing a design system, and the design information comprises size information, structural information and material information;
the device characteristic obtaining module is used for obtaining device characteristics of the stamping device, wherein the device characteristics are constructed by collecting historical working information of the device, and the device characteristics are time sequence compensation characteristics;
the twin model building module is used for building a digital twin model through the equipment characteristics and carrying out machining simulation based on the design information through the digital twin model, and specifically comprises the following steps:
the limit interval configuration module is used for configuring parameter limit intervals, wherein the parameters comprise blank holder force, friction lubrication conditions and die gaps;
the interval segmentation module is used for setting experimental granularity, and determining simulation parameters by segmenting the parameter limit interval through the experimental granularity;
the processing simulation module is used for completing processing simulation through the simulation parameters and recording processing simulation data;
the data analysis module is used for carrying out data analysis on the processing simulation data, determining abnormal characteristic distribution and constructing a structural reinforcing rib according to the abnormal characteristic distribution;
and the stamping forming control module is used for executing control optimizing in the processing simulation data and controlling the stamping forming of the aluminum foil cutlery box according to the control optimizing result and the structural reinforcing ribs.
CN202311445958.7A 2023-11-02 2023-11-02 Aluminum foil cutlery box stamping forming control method and system Active CN117171920B (en)

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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112115649A (en) * 2020-09-29 2020-12-22 郑州轻工业大学 Vertical mill multi-field coupling system process parameter optimization method based on digital twin
CN114074145A (en) * 2022-01-19 2022-02-22 恩葛智能科技(南通)有限公司 Aluminum foil lunch box integrated forming pressing device for preventing aluminum foil from being fractured
CN115203842A (en) * 2022-07-06 2022-10-18 北京机科国创轻量化科学研究院有限公司 Digital twinning system of hot stamping forming production line and construction method

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112115649A (en) * 2020-09-29 2020-12-22 郑州轻工业大学 Vertical mill multi-field coupling system process parameter optimization method based on digital twin
CN114074145A (en) * 2022-01-19 2022-02-22 恩葛智能科技(南通)有限公司 Aluminum foil lunch box integrated forming pressing device for preventing aluminum foil from being fractured
CN115203842A (en) * 2022-07-06 2022-10-18 北京机科国创轻量化科学研究院有限公司 Digital twinning system of hot stamping forming production line and construction method

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