Digital prototype construction system for three-dimensional weaving preform equipment

Abstract

The invention relates to a digital prototype construction system for three-dimensional weaving preform equipment, the system comprises five different model construction methods and four associated construction methods among models, and the five different models are constructed by physical modeling, data modeling, motion modeling, process modeling and simulation. The four associations among the models are the association of a physical model and data, the association of a motion model, a physical three-dimensional model and a data model, the association of a process model, the motion model and the data model, and the association of a simulation result and the data model. According to the method, a virtual production process twin model is constructed, bidirectional real-time interaction with a physical production process is performed, and dynamic updating of a simulation model is driven by using multi-source data, so that the construction process of a digital prototype is standardized, real-time monitoring of the production process is realized, the utilization rate of data is improved, and closed-loop feedback and process optimization are realized.

Description

Technical Field

[0001] The present invention relates to a digital prototype construction method, in particular to a digital prototype construction system for three-dimensional woven preform equipment, and belongs to the technical field of digital twins. Background Art

[0002] The concept of digital twin was first proposed by Professor Grieves of the University of Michigan in 2003. It was originally called the "Mirrored Spaces Model" (MSM). The concept is defined as an object and its digital mirror and the connection between the two. In 2010, NASA applied the concept of digital twin to the simulation and prediction of the entire life cycle of aircraft. Since then, digital twins have received widespread attention, and its related theories and technologies have developed rapidly. Vanderhorn and Mahadevan proposed a unified and broad definition of digital twins, that is, a virtual representation of a physical system and its related environment and processes that is updated through information exchange between the physical system and the virtual system.

[0003] In the field of industrial production, process simulation of the production process is an important means to improve product quality and optimize process design. Traditional production process simulation methods mainly rely on offline modeling, static analysis, and laboratory testing, which have problems such as insufficient real-time performance, low data utilization, and lack of closed-loop feedback. The introduction of digital twin technology has brought new solutions to production process simulation. By combining the physical production process with the virtual simulation model and using the real-time collected data to drive the dynamic update of the simulation model, real-time monitoring, process optimization, and predictive analysis of the production process can be achieved, thereby significantly improving production efficiency, optimizing resource utilization, and effectively improving the consistency and reliability of product quality. Summary of the invention

[0004] In view of the problems existing in the prior art, the present invention provides a digital prototype construction system for three-dimensional woven preform equipment, which simulates and analyzes physical entities or systems by constructing virtual digital models, reproduces the production process in a virtual environment, and simulates the process in the production process. The design is adjusted and the production process is optimized according to the simulation results. The system includes five modules, namely physical modeling, data modeling, motion modeling, process modeling and simulation. There are associations between different modules, including the association between physical models and data, the association between motion models and physical three-dimensional models and data models, the association between process models and motion models and data models, and the association between simulation results and data models. This solution constructs a virtual production process twin model, interacts with the physical production process in real time in a two-way manner, uses multi-source data to drive the dynamic update of the simulation model, standardizes the construction process of the digital prototype, realizes real-time monitoring of the production process, improves the utilization rate of data, and realizes closed-loop feedback and process optimization.

[0005] 1) Through physical modeling, a three-dimensional geometric model consistent with the actual production equipment is constructed and the material properties are clarified, which enables the subsequent simulation process to more accurately reflect the physical behavior of the real material under different working conditions, realize the simulation and visualization of the production scene, and provide a safe and efficient virtual simulation environment for the staff.

[0006] 2) Comprehensively digitize and optimize the production process through data modeling. Use equipment data to build an accurate digital model of the equipment and simulate its physical properties. Use production data to simulate the dynamic operation of equipment and workpieces. Use quality data to monitor product quality performance in real time and locate potential quality defects.

[0007] 3) Through the connection between the 3D model and production data, the dynamic characteristics of each component in the 3D model can be accurately identified and monitored in real time; through the connection between equipment data and quality data and model material properties, the material characteristics and quality performance in the model can be located and tracked.

[0008] 4) Through motion modeling, a motion model consistent with the actual device motion is constructed, which can make the specified motion object perform simulated motion according to the set parameters.

[0009] 5) By connecting the motion model with the physical three-dimensional model, the moving parts in the production process are clarified; by connecting the motion model with the data model, the motion parameter entries are clarified.

[0010] 6) Through process modeling, a structured, dynamically adjustable process model that is closely coupled with the actual production process is constructed, which can achieve high-precision reproduction and optimization of the entire production process in the digital twin simulation model.

[0011] 7) By connecting the process model with the motion model, the motion timing and rhythm are clarified; by connecting the process model with the data model, the production data and quality data are clarified.

[0012] 8) Through process action simulation, the rationality and stability of production process design can be tested; through product quality simulation solution, the product quality characteristics can be predicted.

[0013] 9) By associating simulation results with data models, it can provide reference and guidance for further production process improvements, discover potential product quality problems, and conduct preventive quality control.

[0014] In order to achieve the above-mentioned purpose, the technical scheme of the present invention is as follows: a digital prototype construction system for three-dimensional woven preform equipment, which simulates and analyzes physical entities or systems by constructing virtual digital models, reproduces the production process in a virtual environment, and simulates the process in the production process. The design is adjusted and the production process is optimized according to the simulation results. The system includes five modules, namely physical modeling, data modeling, motion modeling, process modeling and simulation. There are associations between different modules, including the association between physical models and data, the association between motion models and physical three-dimensional models and data models, the association between process models and motion models and data models, and the association between simulation results and data models. Specifically, the constructed part includes physical modeling, through which a three-dimensional geometric model consistent with the real production equipment is constructed and the material properties are clarified, so that the subsequent simulation process can more accurately reflect the physical behavior of real materials under different working conditions, realize the simulation and visualization of production scenes, and provide a safe and efficient virtual simulation environment for staff.

[0015] 1) Build a 3D model

[0016] a) Collect information such as the size, shape and structure of the equipment, draw a sketch of the part in the modeling software, generate a three-dimensional shape through functions such as stretching and rotation, and perform detail processing such as chamfering or rounding.

[0017] b) Import the part model into the assembly environment, apply constraints to complete the assembly, check interference and verify motion function, and finally output it to a suitable file format to support further analysis and application.

[0018] 2) Assign materials to the 3D model and clarify the material's attribute parameters

[0019] a) Select appropriate materials from the modeling software material library and assign materials to the 3D model according to the model's design requirements and application scenarios.

[0020] b) defining detailed property parameters for the model material, including but not limited to elastic modulus, Poisson's ratio, stiffness, hardness, and tensile strength.

[0021] The constructed part includes data modeling, which is used to conduct comprehensive digital simulation and optimization of the production process, use equipment data to build an accurate digital model of the equipment and simulate its physical properties; use production data to simulate the dynamic operation of equipment and workpieces; use quality data to monitor product quality performance in real time and locate potential quality defects.

[0022] 1) Clarify data entries and data types, and list key data items in the production process, such as equipment data such as stiffness, voltage, mass, and operating time, production data such as speed, acceleration, and displacement, and quality data such as product quality parameters; clarify the expression form of each data item, such as integer type, floating point type, state type, etc.

[0023] 2) Create forms in the database to systematically store and manage data, and ensure that the form structure can effectively support fast retrieval and flexible updating of data.

[0024] 3) Complete the construction of entity classes and the writing of corresponding service interfaces in Java code, so that each data entry can be clearly represented in the software system as an object, and develop matching service interfaces to support data access and operations.

[0025] The constructed part includes the association between physical models and data. By connecting the three-dimensional model with production data, accurate identification and real-time monitoring of the dynamic characteristics of each component in the three-dimensional model can be achieved. By connecting equipment data and quality data with model material properties, the positioning and tracking of material characteristics and quality performance in the model can be achieved.

[0026] 1) Associate a specific component in the three-dimensional model with a table name of a production data form, and complete dynamic binding with the production data items. The production data form includes production data items such as acceleration, velocity, displacement, etc.

[0027] 2) The material properties of the three-dimensional model are associated with the equipment and quality data form contents through the form name, wherein the material properties are dynamically bound to the quality data items and connected to the specific values ​​of the equipment data. The equipment and quality data form contains equipment data such as mass, stiffness, voltage, and quality data items such as product quality parameters.

[0028] The constructed part includes motion modeling, through which a motion model consistent with the actual device motion is constructed, which can realize the simulated motion of the specified motion object according to the set parameters.

[0029] 1) Define the moving parts and preset interfaces or placeholders for the moving parts.

[0030] 2) Design motion patterns and write motion functions to simulate the motion behavior of actual production equipment components.

[0031] 3) Design motion parameters to provide parameter framework and interface for subsequent production simulation.

[0032] The constructed part includes the association between the motion model, the physical three-dimensional model and the data model. Through the connection between the motion model and the physical three-dimensional model, the moving parts in the production process are clarified; through the connection between the motion model and the data model, the motion parameter entries are clarified.

[0033] 1) Through the name of the three-dimensional model component, the interface preset for the moving part in the motion model is matched with the component connection in the three-dimensional model.

[0034] 2) According to the connection between the physical model and the data, the name of the 3D model component can be associated with the corresponding table name of the production data form, that is, the connection between the motion parameters in the motion model and the production data items in the data model is realized.

[0035] The constructed part includes process modeling, through which a structured, dynamically adjustable process model that is tightly coupled with the actual production process is constructed. The entire production process can be reproduced and optimized with high precision in the digital twin simulation model.

[0036] 1) Analyze process cards and extract key information, including processing steps, working conditions such as forces and constraints, equipment data, production data, quality data, operating specifications, etc.

[0037] 2) Determine the timing of process actions, analyze the logical relationship between different process actions (including parallel relationship, conflict relationship, etc.), and arrange the execution sequence of each process step.

[0038] 3) Determine the process action rhythm, refer to the process requirements and equipment performance, determine the execution time of each process action, and for process actions that need to be repeated, clarify their cycle frequency requirements.

[0039] The constructed part includes the association between the process model, the motion model and the data model. Through the connection between the process model and the motion model, the motion timing and rhythm are clarified; through the connection between the process model and the data model, the production data and quality data are clarified.

[0040] 1) Connect the process actions in the process model with the specific motion functions in the motion model.

[0041] 2) Through the form interface constructed in the data model, the specific production data and quality data in the process model are filled into the production data and quality data forms in the data model.

[0042] The constructed part includes the simulation process. Through the simulation of process actions, the rationality and stability of the production process design can be tested; through the simulation and solution of product quality, the quality characteristics of the product can be predicted.

[0043] 1) Based on the physical model, data model, motion model, process model and the relationship between models, the process action simulation can be realized, and whether the design of the process action in the production process is reasonable can be detected, and potential deviations and interference problems can be identified.

[0044] 2) Product quality simulation solution

[0045] The physical model provides a three-dimensional geometric model with physical properties. The process model provides loads and constraints for the physical model to simulate the actual working environment. CAE tools are used to carry out simulation calculations to obtain data related to product quality such as stress and strain.

[0046] The constructed part includes the association between simulation results and data models. Through the association between simulation results and data models, it can provide reference and guidance for further production process improvements, discover potential product quality problems, and conduct preventive quality control.

[0047] 1) The quality information data solved by product quality simulation through finite element analysis is displayed in the form of visual graphics.

[0048] 2) According to the connection between the process model and the data model, the specific quality data in the process model has been filled in the quality data form in the data model, and the quality information data solved by the product quality simulation is compared and analyzed with the product quality parameters in the quality data form in the data model.

[0049] Five models and four associations together constitute a digital prototype construction method for three-dimensional woven preform equipment, realizing dynamic simulation and analysis of the entire production process.

[0050] Compared with the prior art, the present invention has the following advantages: the five different models and four associated construction methods explored in this technical solution can provide guiding suggestions for the construction of digital prototypes. At the same time, this method standardizes the construction process of digital prototypes, and through real-time monitoring of key data in the production process, it fully improves the efficiency of data collection, analysis and utilization, and realizes closed-loop feedback and production process optimization. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 Schematic diagram of the construction method of the digital prototype of the three-dimensional woven preform equipment.

[0052] Figure 2 It is the association between physical model and data.

[0053] Figure 3 It is the association between the motion model, the physical model and the data model.

[0054] Figure 4 It is the association between the process model, motion model and data model.

[0055] Figure 5 It is the association between simulation results and data models. DETAILED DESCRIPTION

[0056] In order to deepen the understanding of the present invention, the present embodiment is described in detail below with reference to the accompanying drawings.

[0057] Example 1: See Figure 1 , a digital prototype construction system for three-dimensional woven preform equipment, including the following nine parts:

[0058] 1) Through physical modeling, a three-dimensional geometric model consistent with the actual production equipment is constructed and the material properties are clarified, which enables the subsequent simulation process to more accurately reflect the physical behavior of the real material under different working conditions, realize the simulation and visualization of the production scene, and provide a safe and efficient virtual simulation environment for the staff.

[0059] 2) Comprehensively digitize and optimize the production process through data modeling. Use equipment data to build an accurate digital model of the equipment and simulate its physical properties. Use production data to simulate the dynamic operation of equipment and workpieces. Use quality data to monitor product quality performance in real time and locate potential quality defects.

[0060] 3) Through the connection between the 3D model and production data, the dynamic characteristics of each component in the 3D model can be accurately identified and monitored in real time; through the connection between equipment data and quality data and model material properties, the material characteristics and quality performance in the model can be located and tracked.

[0061] 4) Through motion modeling, a motion model consistent with the actual device motion is constructed, which can make the specified motion object perform simulated motion according to the set parameters.

[0062] 5) By connecting the motion model with the physical three-dimensional model, the moving parts in the production process are clarified; by connecting the motion model with the data model, the motion parameter entries are clarified.

[0063] 6) Through process modeling, a structured, dynamically adjustable process model that is closely coupled with the actual production process is constructed, which can achieve high-precision reproduction and optimization of the entire production process in the digital twin simulation model.

[0064] 7) By connecting the process model with the motion model, the motion timing and rhythm are clarified; by connecting the process model with the data model, the production data and quality data are clarified.

[0065] 8) Through process action simulation, the rationality and stability of production process design can be tested; through product quality simulation solution, the product quality characteristics can be predicted.

[0066] 9) By associating simulation results with data models, it can provide reference and guidance for further production process improvements, discover potential product quality problems, and conduct preventive quality control.

[0067] The constructed part includes physical modeling, through which a three-dimensional geometric model consistent with the actual production equipment is constructed and the material properties are clarified. This will enable the subsequent simulation process to more accurately reflect the physical behavior of real materials under different working conditions, realize the simulation and visualization of production scenes, and provide a safe and efficient virtual simulation environment for staff.

[0068] 1) Build a 3D model

[0069] a) Collect information such as the size, shape and structure of the equipment, draw a sketch of the part in the modeling software, generate a three-dimensional shape through functions such as stretching and rotation, and perform detail processing such as chamfering or rounding.

[0070] b) Import the part model into the assembly environment, apply constraints to complete the assembly, check interference and verify motion function, and finally output it to a suitable file format to support further analysis and application.

[0071] 2) Assign materials to the 3D model and clarify the material's attribute parameters

[0072] a) Select appropriate materials from the modeling software material library and assign materials to the 3D model according to the model's design requirements and application scenarios.

[0073] b) defining detailed property parameters for the model material, including but not limited to elastic modulus, Poisson's ratio, stiffness, hardness, and tensile strength.

[0074] The constructed part includes data modeling, which is used to conduct comprehensive digital simulation and optimization of the production process, use equipment data to build an accurate digital model of the equipment and simulate its physical properties; use production data to simulate the dynamic operation of equipment and workpieces; use quality data to monitor product quality performance in real time and locate potential quality defects.

[0075] 1) Clarify data entries and data types, and list key data items in the production process, such as equipment data such as stiffness, voltage, mass, and operating time, production data such as speed, acceleration, and displacement, and quality data such as product quality parameters; clarify the expression form of each data item, such as integer type, floating point type, state type, etc.

[0076] 2) Create forms in the database to systematically store and manage data, and ensure that the form structure can effectively support fast retrieval and flexible updating of data.

[0077] 3) Complete the construction of entity classes and the writing of corresponding service interfaces in Java code, so that each data entry can be clearly represented in the software system as an object, and develop matching service interfaces to support data access and operations.

[0078] The constructed part includes the association between physical models and data. By connecting the three-dimensional model with production data, accurate identification and real-time monitoring of the dynamic characteristics of each component in the three-dimensional model can be achieved. By connecting equipment data and quality data with model material properties, the positioning and tracking of material characteristics and quality performance in the model can be achieved.

[0079] 1) Associate a specific component in the three-dimensional model with a table name of a production data form, and complete dynamic binding with the production data items. The production data form includes production data items such as acceleration, velocity, displacement, etc.

[0080] 2) The material properties of the three-dimensional model are associated with the equipment and quality data form contents through the form name, wherein the material properties are dynamically bound to the quality data items and connected to the specific values ​​of the equipment data. The equipment and quality data form contains equipment data such as mass, stiffness, voltage, and quality data items such as product quality parameters.

[0081] The constructed part includes motion modeling, through which a motion model consistent with the actual device motion is constructed, which can realize the simulated motion of the specified motion object according to the set parameters.

[0082] 1) Define the moving parts and preset interfaces or placeholders for the moving parts.

[0083] 2) Design motion patterns and write motion functions to simulate the motion behavior of actual production equipment components.

[0084] 3) Design motion parameters to provide parameter framework and interface for subsequent production simulation.

[0085] The constructed part includes the association between the motion model, the physical three-dimensional model and the data model. Through the connection between the motion model and the physical three-dimensional model, the moving parts in the production process are clarified; through the connection between the motion model and the data model, the motion parameter entries are clarified.

[0086] 1) Through the name of the three-dimensional model component, the interface preset for the moving part in the motion model is matched with the component connection in the three-dimensional model.

[0087] 2) According to the connection between the physical model and the data, the name of the 3D model component can be associated with the corresponding table name of the production data form, that is, the connection between the motion parameters in the motion model and the production data items in the data model is realized.

[0088] The constructed part includes process modeling, through which a structured, dynamically adjustable process model that is tightly coupled with the actual production process is constructed. The entire production process can be reproduced and optimized with high precision in the digital twin simulation model.

[0089] 1) Analyze process cards and extract key information, including processing steps, working conditions such as forces and constraints, equipment data, production data, quality data, operating specifications, etc.

[0090] 2) Determine the timing of process actions, analyze the logical relationship between different process actions (including parallel relationship, conflict relationship, etc.), and arrange the execution sequence of each process step.

[0091] 3) Determine the process action rhythm, refer to the process requirements and equipment performance, determine the execution time of each process action, and for process actions that need to be repeated, clarify their cycle frequency requirements.

[0092] The constructed part includes the association between the process model, the motion model and the data model. Through the connection between the process model and the motion model, the motion timing and rhythm are clarified; through the connection between the process model and the data model, the production data and quality data are clarified.

[0093] 1) Connect the process actions in the process model with the specific motion functions in the motion model.

[0094] 2) Through the form interface constructed in the data model, the specific production data and quality data in the process model are filled into the production data and quality data forms in the data model.

[0095] The constructed part includes the simulation process. Through the simulation of process actions, the rationality and stability of the production process design can be tested; through the simulation and solution of product quality, the quality characteristics of the product can be predicted.

[0096] 1) Based on the physical model, data model, motion model, process model and the relationship between models, the process action simulation can be realized, and whether the design of the process action in the production process is reasonable can be detected, and potential deviations and interference problems can be identified.

[0097] 2) Product quality simulation solution

[0098] The physical model provides a three-dimensional geometric model with physical properties. The process model provides loads and constraints for the physical model to simulate the actual working environment. CAE tools are used to carry out simulation calculations to obtain data related to product quality such as stress and strain.

[0099] The constructed part includes the association between simulation results and data models. Through the association between simulation results and data models, it can provide reference and guidance for further production process improvements, discover potential product quality problems, and conduct preventive quality control.

[0100] 1) The quality information data solved by product quality simulation through finite element analysis is displayed in the form of visual graphics.

[0101] 2) According to the connection between the process model and the data model, the specific quality data in the process model has been filled in the quality data form in the data model, and the quality information data solved by the product quality simulation is compared and analyzed with the product quality parameters in the quality data form in the data model.

[0102] Five models and four associations together constitute a digital prototype construction method for three-dimensional woven preform equipment, realizing dynamic simulation and analysis of the entire production process.

[0103] The five different models and four related construction methods explored in this technical solution can provide guiding suggestions for the construction of digital prototypes. At the same time, this method standardizes the construction process of digital prototypes, and through real-time monitoring of key data in the production process, it fully improves the efficiency of data collection, analysis and utilization, and realizes closed-loop feedback and production process optimization.

[0104] Embodiment 2:

[0105] Figure 2-Figure 5 As shown in the figure, taking the 3D woven preform equipment of a glass fiber research institute as an example, the digital prototype construction method for the 3D woven preform equipment is explained. The construction part includes physical modeling. Through physical modeling, a 3D geometric model consistent with the actual production equipment is constructed and the material properties are clarified. The subsequent simulation process can more accurately reflect the physical behavior of the real material under different working conditions, realize the simulation and visualization of the production scene, and provide a safe and efficient virtual simulation environment for the staff.

[0106] 1) Build a 3D model

[0107] a) Collect information such as the size, shape and structure of the 3D woven preform equipment, draw a part sketch in the modeling software SolidWorks, generate a 3D shape through functions such as stretching and rotation, and perform detail processing such as chamfering or rounding.

[0108] b) Import various part models into the assembly environment, such as the parallel beating reed seat, guide rail positioning plate, limit block, parallel beating bracket, connecting shaft, connecting sleeve, connecting rod, connecting rod connecting shaft, etc., apply constraints such as coincidence, distance, width, etc. to complete the assembly, check interference and verify the motion function, and finally output it in STEP format to support further analysis and application. 2) Assign material to the 3D model and clarify the attribute parameters of the material

[0109] a) In ANSYS software, select the geometry to be assigned material in the Mechanical module.

[0110] In the "Material Assignment" field, assign the existing material name in the system to the selected geometry. According to the design requirements and application scenarios of the model, assign the appropriate material to the 3D model without clarifying the specific property parameters of the material in advance. If there is no material that meets the requirements in the material library, you can create a new material and name it by returning to the "EngineeringData" module of the Workbench, and then assign the newly added material to the corresponding geometry, such as assigning aluminum alloy material to the weft storage system and the warp feed frame, assigning iron alloy material to the jacquard faucet, assigning No. 45 steel material to the support column and the traction as a whole, and assigning polyester fiber material to the heald.

[0111] b) In the "Engineering Data" module of Workbench, define or supplement the attribute parameters of the materials assigned to the geometric body, including but not limited to elastic modulus, Poisson's ratio, yield strength, tensile strength, elongation, hardness, stiffness, wear resistance, etc. Once modified, the parameters are automatically applied to the corresponding material of the model. The construction part includes data modeling, which is used to fully digitally simulate and optimize the production process, use equipment data to build an accurate digital model of the equipment, and simulate its physical properties; use production data to simulate the dynamic operation of equipment and workpieces; use quality data to monitor product quality performance in real time and locate potential quality defects.

[0112] 1) Clarify the data entries and data types, and list the key data items in the production process, such as PLC status, weft measuring guide position, jacquard encoder angle, warp let-off alarm unit, jacquard current weft number, current weft density, weft insertion time, jacquard time and other equipment data; actual rapier position value, actual weft selection speed, actual weft beating torque, actual traction current and other production data; product quality parameters and other quality data; clarify the form of each data item, such as PLC status, current weft density and actual weft beating torque are double type, and weft insertion time, jacquard time and other data items are time type.

[0113] 2) Create forms in the database to systematically store and manage data, and ensure that the form structure can effectively support fast retrieval and flexible updating of data.

[0114] 3) Complete the construction of entity classes and the writing of corresponding service interfaces in Java code, so that each data entry can be clearly represented in the software system as an object, and develop matching service interfaces to support data access and operations.

[0115] The constructed part includes the association between physical models and data. By connecting the three-dimensional model with production data, accurate identification and real-time monitoring of the dynamic characteristics of each component in the three-dimensional model can be achieved. By connecting equipment data and quality data with model material properties, the positioning and tracking of material characteristics and quality performance in the model can be achieved.

[0116] 1) Associate specific components in the three-dimensional woven preform equipment model with the table name of the production data form, such as associating the parallel weft beating sley and the weft insertion rapier with the table names "Production data of equipment 1" and "Production data of equipment 2" respectively, and dynamically binding the parallel weft beating sley with production data items such as the weft beating speed and the load force of the weft beating motor, and dynamically binding the weft insertion rapier with production data items such as the rapier speed and the clamping switch signal.

[0117] 2) Some material attributes contained in the three-dimensional woven preform equipment model are associated with the equipment and quality data form contents through form table names, such as material attribute 1, material attribute 2, material attribute 3 are connected with the specific values ​​of equipment parameter 1, equipment parameter 2, and equipment parameter 3, and material attribute 4, material attribute 5, material attribute 6 are dynamically bound with the three quality data items of quality parameter 1, quality parameter 2, and quality parameter 3.

[0118] The constructed part includes motion modeling, through which a motion model consistent with the actual device motion is constructed, which can realize the simulated motion of the specified motion object according to the set parameters.

[0119] 1) Define the moving parts and preset interfaces or placeholders for the moving parts.

[0120] 2) Design a motion model and write a motion function that can achieve reciprocating motion to simulate the motion behavior of the parallel weft beating sley and weft insertion rapier in the three-dimensional woven preform equipment.

[0121] 3) Design motion parameters to provide parameter framework and interface for subsequent production simulation.

[0122] The constructed part includes the association between the motion model, the physical three-dimensional model and the data model. Through the connection between the motion model and the physical three-dimensional model, the moving parts in the production process are clarified; through the connection between the motion model and the data model, the motion parameter entries are clarified.

[0123] 1) Through the names of the two components of the parallel beating reed seat and the weft insertion rapier in the three-dimensional weaving preform equipment, the interface preset for the moving parts in the motion model is connected and matched with the two components of the parallel beating reed seat and the weft insertion rapier.

[0124] 2) According to the connection between the physical model and the data, the names of the two components, the parallel weft beating sley and the weft insertion rapier, can be associated with the corresponding table names of the production data form, that is, the connection between the motion parameters in the motion model and the production data items such as the weft beating speed and rapier speed in the data model is realized.

[0125] The constructed part includes process modeling, through which a structured, dynamically adjustable process model that is tightly coupled with the actual production process is constructed. The entire production process can be reproduced and optimized with high precision in the digital twin simulation model.

[0126] 1) Analyze process cards and extract key information, including processing steps, working conditions such as forces and constraints, equipment data, production data, quality data, operating specifications, etc.

[0127] 2) Determine the timing of process actions and analyze the logical relationship between different process actions (including parallel relationship, conflict relationship, etc.). For example, the weft insertion action and the weft beating action are serial relationships. Arrange the execution sequence of each process step, such as twisting, winding, installing the yarn disc on the yarn frame to form warp yarn, and introducing the weft yarn into the warp yarn of the jacquard machine through the weft insertion device to form a fabric.

[0128] 3) Determine the process action rhythm, refer to the process requirements and equipment performance, determine the execution time of each process action, and for process actions that need to be repeated, clarify their cycle frequency requirements.

[0129] The constructed part includes the association between the process model, the motion model and the data model. Through the connection between the process model and the motion model, the motion timing and rhythm are clarified; through the connection between the process model and the data model, the production data and quality data are clarified.

[0130] 1) Connect the process actions in the process model with the specific motion functions in the motion model, such as connecting the weft beating and weft insertion actions with the reciprocating translational motion functions in the motion model.

[0131] 2) Through the form interface constructed in the data model, the specific production data and quality data in the process model are filled into the production data and quality data forms in the data model.

[0132] The constructed part includes the simulation process. Through the simulation of process actions, the rationality and stability of the production process design can be tested; through the simulation and solution of product quality, the quality characteristics of the product can be predicted.

[0133] 1) Based on the physical model, data model, motion model, process model and the relationship between models, the process action simulation can be realized, and whether the design of the process action in the production process is reasonable can be detected, and potential deviations and interference problems can be identified.

[0134] 2) Product quality simulation solution

[0135] The physical model provides a three-dimensional geometric model with physical properties. The process model provides loads and constraints for the physical model. The loading methods can include point loads, distributed loads, torque loading, etc. The constraints are used to limit the displacement or rotation of the model components, thereby building a simulation scenario close to the actual working conditions. The physical model is imported into the CAE software, and numerical solutions are performed after meshing to obtain data related to product quality such as stress and strain.

[0136] The constructed part includes the association between simulation results and data models. Through the association between simulation results and data models, it can provide reference and guidance for further production process improvements, discover potential product quality problems, and conduct preventive quality control.

[0137] 1) The quality information data solved by product quality simulation through finite element analysis is displayed in the form of visual graphics.

[0138] 2) According to the connection between the process model and the data model, the specific quality data in the process model has been filled in the quality data form in the data model, and the quality information data solved by the product quality simulation is compared and analyzed with the product quality parameters in the quality data form in the data model.

[0139] The above five models and four associations together constitute a digital prototype construction method for three-dimensional woven preform equipment, realizing dynamic simulation and analysis of the entire production process.

[0140] It should be noted that the above embodiments are not intended to limit the protection scope of the present invention, and equivalent changes or substitutions made on the basis of the above technical solutions all fall within the protection scope of the claims of the present invention.

Claims

1. A digital prototype construction system for three-dimensional woven preform equipment, characterized in that: A method of simulating and analyzing physical entities or systems by building virtual digital models, reproducing the production process in a virtual environment, simulating the process in the production process, adjusting the design and optimizing the production process according to the simulation results. The system includes five modules, namely physical modeling, data modeling, motion modeling, process modeling and simulation. There are associations between different modules, including the association between physical models and data, the association between motion models and physical three-dimensional models and data models, the association between process models and motion models and data models, and the association between simulation results and data models.

2. The digital prototype construction system for three-dimensional woven preform equipment according to claim 1 is characterized in that: The physical modeling constructs a three-dimensional geometric model consistent with the real production equipment and clarifies the material properties through physical modeling, which can enable the subsequent simulation process to more accurately reflect the physical behavior of the real material under different working conditions, realize the simulation and visualization of the production scene, and provide a safe and efficient virtual simulation environment for the staff. The details are as follows: 1) Build a 3D model a) Collect the size, shape and structure information of the equipment, draw the part sketch in the modeling software, generate the three-dimensional shape through functions such as stretching and rotation, and perform detail processing, including chamfering or rounding; b) Import the part model into the assembly environment, apply constraints to complete the assembly, check for interference and verify motion function, and finally output it to a suitable file format to support further analysis and application, 2) Assign materials to the 3D model and clarify the material's attribute parameters a) Select appropriate materials from the modeling software material library and assign materials to the 3D model according to the model design requirements and application scenarios. b) defining detailed property parameters for the model material, including elastic modulus, Poisson's ratio, stiffness, hardness and tensile strength.

3. The digital prototype construction system for three-dimensional woven preform equipment according to claim 1, characterized in that: The data modeling is to conduct a comprehensive digital simulation and optimization of the production process through data modeling, use the equipment data to build an accurate digital model of the equipment and simulate its physical properties; use the production data to simulate the dynamic operation of the equipment and workpieces; use the quality data to monitor the product quality performance in real time and locate potential quality defects, as follows: 1) Clarify data items and data types, and list key data items in the production process, including stiffness, voltage, mass, operating time equipment data, speed, acceleration, displacement production data, and product quality parameter quality data; clarify the expression form of each data item, including integer type, floating point type, and state type, 2) Create a form in the database to systematically store and manage data, ensuring that the form structure can effectively support fast retrieval and flexible update of data. 3) Complete the construction of entity classes and the writing of corresponding service interfaces in Java code, so that each data entry can be clearly represented in the software system as an object, and develop matching service interfaces to support data access and operations.

4. The digital prototype construction system for three-dimensional woven preform equipment according to claim 1, characterized in that: The association between the physical model and the data can realize accurate identification and real-time monitoring of the dynamic characteristics of each component in the 3D model through the connection between the 3D model and the production data; and can realize the positioning and tracking of the material characteristics and quality performance in the model through the connection between the equipment data and quality data and the material properties of the model. 1) Associating a specific component in the 3D model with the table name of the production data form and completing dynamic binding with the production data item, wherein the production data form includes acceleration, velocity, and displacement production data items, 2) The material properties of the three-dimensional model are associated with the equipment and quality data form contents through the form name, wherein the material properties are dynamically bound to the quality data items and connected to the specific values ​​of the equipment data. The equipment and quality data form includes equipment data such as mass, stiffness, voltage, and product quality parameter quality data items.

5. The digital prototype construction system for three-dimensional woven preform equipment according to claim 1, characterized in that: The motion modeling constructs a motion model consistent with the actual device motion through motion modeling, so as to make the specified motion object perform simulated motion according to the set parameters, as follows: 1) Define the moving parts and preset interfaces or placeholders for the moving parts. 2) Design motion patterns and write motion functions to simulate the motion behavior of actual production equipment components. 3) Design motion parameters to provide parameter framework and interface for subsequent production simulation.

6. The digital prototype construction system for three-dimensional woven preform equipment according to claim 1, characterized in that: The association between the motion model and the physical three-dimensional model and the data model, through the connection between the motion model and the physical three-dimensional model, clarifies the moving parts in the production process; through the connection between the motion model and the data model, clarifies the motion parameter items, as follows: 1) Through the name of the 3D model component, the interface preset for the moving part in the motion model is matched with the component in the 3D model. 2) According to the connection between the physical model and the data, the name of the 3D model component can be associated with the corresponding table name of the production data form, that is, the connection between the motion parameters in the motion model and the production data items in the data model is realized.

7. The digital prototype construction system for three-dimensional woven preform equipment according to claim 1, characterized in that: The process modeling constructs a structured, dynamically adjustable process model that is closely coupled with the actual production process through process modeling, and realizes high-precision reproduction and optimization of the entire production process in the digital twin simulation model, as follows: 1) Analyze process cards and extract key information, including processing steps, force and constraint conditions, equipment data, production data, quality data, and operating specifications. 2) Determine the timing of process actions, analyze the logical relationship between different process actions (including parallel relationship, conflict relationship, etc.), and arrange the execution sequence of each process step. 3) Determine the process action rhythm, refer to the process requirements and equipment performance, determine the execution time of each process action, and for process actions that need to be repeated, clarify their cycle frequency requirements.

8. The digital prototype construction system for three-dimensional woven preform equipment according to claim 1, characterized in that: The association between the process model, the motion model and the data model clarifies the motion timing and beat through the connection between the process model and the motion model; the production data and quality data are clarified through the connection between the process model and the data model, as follows: 1) Connect the process actions in the process model with the specific motion functions in the motion model, 2) Through the form interface constructed in the data model, the specific production data and quality data in the process model are filled into the production data and quality data forms in the data model.

9. The digital prototype construction system for three-dimensional woven preform equipment according to claim 7, characterized in that: The simulation process can verify the rationality and stability of the production process design through process action simulation, and predict the product quality characteristics through product quality simulation. 1) The simulation of process actions can be realized based on the models and the association between models, which can detect whether the design of process actions in the production process is reasonable and identify potential deviations and interference problems. 2) Product quality simulation solution: the physical model provides a three-dimensional geometric model with physical properties, and the process model provides loads and constraints for the physical model to simulate the actual working environment. CAE tools are used to carry out simulation calculations to obtain data related to stress, strain and product quality.

10. The digital prototype construction system for three-dimensional woven preform equipment according to claim 8, characterized in that: The association between the simulation results and the data model can provide reference and guidance for further production process improvement, discover potential product quality problems, and conduct preventive quality control. 1) The quality information data obtained by product quality simulation is displayed in a visual graphical form through finite element analysis. 2) According to the connection between the process model and the data model, the specific quality data in the process model has been filled in the quality data form in the data model, and the quality information data solved by the product quality simulation is compared and analyzed with the product quality parameters in the quality data form in the data model.

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