CN113420448A - Digital twinning system and method for ammunition fusion casting charging forming process - Google Patents
Digital twinning system and method for ammunition fusion casting charging forming process Download PDFInfo
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Abstract
In order to solve the technical problem that the ammunition charging forming quality is unstable due to manual experience and trial production adopted by the existing ammunition fusion casting charging forming, the embodiment of the invention provides a digital twinning system and a digital twinning method in the ammunition fusion casting charging forming process, and the digital twinning system comprises the following steps: establishing a coupling mathematical model of the charging quality and the charging forming process parameters according to production data, and performing simulation analysis on the ammunition casting charging forming process by using the coupling mathematical model to obtain simulation data; deep processing is carried out on the production data and the simulation data by utilizing a big data technology, and a data set is reconstructed by fusing the actual measurement data and the simulation data; establishing a digital twin model; carrying out ammunition casting, charging and forming production line virtual and real data interconnection; and (4) analyzing and predicting the forming quality of the ammunition fusion-cast charge by using the digital twin model. The embodiment of the invention adopts the digital twin model to predict the ammunition casting charging forming quality, and realizes the control of the ammunition casting charging forming process through a digital twin system.
Description
Technical Field
The invention relates to a digital twinning system and a digital twinning method in an ammunition fusion casting charging forming process.
Background
The ammunition fusion casting charging forming is a main charging process method of ammunition, and the method is characterized in that carrier explosives with low melting point (such as TNT (trinitrotoluene) and DNAN (dinitroanisole)) are heated and melted, high-energy solid phase components (such as RDX (hexogen) and HMX (octogen)) are added and mixed to form slurry, then the slurry is injected into a mold or an ammunition body, and the slurry is cooled and solidified to form the charging forming method with a certain shape and size.
The ammunition fusion casting charging forming process relates to various physical changes of state, heat, volume and the like, firstly, the state of the ammunition is changed from liquid to solid, secondly, the volume of the explosive is contracted and the heat is released in the process of crystallization, the process is a complex heat transfer and mass transfer process, the process is subjected to cooling, phase change, crystal formation, growth and the like, the process parameters such as a temperature field, a stress field and the like are dynamically changed in the forming process, once the process parameters in a certain middle link are improperly controlled, the defects such as bubbles, pores, cracks and the like are formed in a explosive column, and the technical and tactical indexes and the use safety of the ammunition are seriously influenced.
The traditional experience method is mainly used by the traditional ammunition casting, charging and forming production process technology of the traditional ammunition production enterprises in China, the work experience and product trial production of technical operators are taken as the main points, the static observation, simulation experiment and destructive inspection are basically combined for the research of the production process, and an effective method is not available for the research of a plurality of process technology links, the evolution rule and the change mechanism of the production process. In the process, various human factors cause unstable forming quality of the final ammunition charge, long trial production period of products, high input cost and the like, and meanwhile, the production safety is severely restricted due to insufficient timely and comprehensive information interaction on the production site and low visualization degree.
Disclosure of Invention
In order to solve the technical problem that the ammunition charging forming quality is unstable due to manual experience and trial production adopted by the existing ammunition fusion casting charging forming process, the embodiment of the invention provides a digital twinning system and method for the ammunition fusion casting charging forming process.
The invention is realized by the following technical scheme:
in a first aspect, embodiments of the present invention provide a digital twinning method for an ammunition fusion cast charge forming process, comprising:
s1, acquiring production data of an ammunition fusion casting charging forming physical entity production line;
s2, establishing a coupling mathematical model of the charging quality and the charging forming process parameters according to the production data, and performing simulation analysis on the ammunition casting charging forming process by using the coupling mathematical model to obtain simulation data;
s3, deep processing is carried out on the production data and the simulation data by utilizing a big data technology so as to eliminate noise components and redundant information in the production data and the simulation data, and a data set is reconstructed by fusing the actually measured data and the simulation data;
s4, carrying out digital twin modeling on the ammunition fusion-cast charge forming physical entity by using the data set through a multi-scale modeling framework, and establishing a digital twin model;
s5, performing ammunition casting charging forming production line virtual-real data interconnection by using the production data and the simulation data and the digital twin model, and establishing a one-to-one corresponding interconnection relationship between the production data and the simulation data and the digital twin model;
and S6, analyzing and predicting the forming quality of the ammunition casting powder charge by using the digital twin model.
Further, the method further comprises:
and S7, updating corresponding parameter data of the production data by using the ammunition charging forming quality prediction parameters, and returning to S2.
Further, the method further comprises:
and S8, updating the ammunition casting charging forming process parameters by using the ammunition charging forming quality prediction parameters to change the production data of the ammunition casting charging forming physical entity production line, and returning to S1.
And S9, performing virtual and real data interconnection on the ammunition casting charging forming production line by using the updated production data and simulation data and the digital twin model, so that virtual and real state mapping of the ammunition casting charging forming production line is synchronous.
Further, the method further comprises:
and displaying the ammunition fusion casting charging molding production process in real time in a three-dimensional visual manner.
Further, the S4 includes:
s41, establishing geometric models in equal proportion according to four scales of an ammunition casting and charging forming workshop, a production line, a station and a manufacturing element;
s42, setting physical attributes of the geometric model according to a data set;
s43, setting behavior attributes of the geometric model according to a data set;
and S44, setting the geometric model with regular attributes.
Further, the physical properties comprise explosive injection vacuum degree, explosive injection time, explosive injection speed, solidification nursing temperature, solidification pressure, projectile body temperature, explosive slurry viscosity, heat conductivity coefficient, explosive loading forming time and production environment temperature;
the behavior attributes comprise actions, behaviors and reaction mechanisms such as explosive pouring, projectile body vacuumizing, pressurizing, cooling and the like;
the regular attributes comprise a coupling mechanism of ammunition fusion casting charging forming quality characteristic parameters and forming process parameters, and a generation and inhibition mechanism of defects in the fusion casting charging solidification process.
In a second aspect, embodiments of the present invention provide a digital twinning system for an ammunition fusion cast charge forming process, comprising:
the ammunition casting charging forming physical entity production line subsystem is used for realizing the ammunition casting charging forming process;
the data sensing and collecting subsystem is used for acquiring production data of an ammunition fusion casting charging forming physical entity production line;
the ammunition casting and charging forming process simulation subsystem is used for establishing a coupling mathematical model of the charging quality and the charging forming process parameters according to the production data, and performing simulation analysis on the ammunition casting and charging forming process by using the coupling mathematical model to obtain simulation data;
the data fusion processing subsystem is used for deeply processing the production data and the simulation data by utilizing a big data technology so as to eliminate noise components and redundant information in the production data and the simulation data and fuse the actual measurement data and the simulation data to reconstruct a data set;
the digital twinning modeling subsystem is used for carrying out digital twinning modeling on the ammunition fusion-cast charge forming physical entity by using the data set through a multi-scale modeling framework to establish a digital twinning model;
the decision execution subsystem is used for performing ammunition casting charging forming production line virtual-real data interconnection by using the production data and the simulation data and the digital twin model, and establishing a one-to-one corresponding interconnection relation between the production data and the simulation data and the digital twin model; for predicting ammunition fusion cast charge formation quality using the digital twin model analysis.
Further, the system further comprises:
and the three-dimensional visualization subsystem is used for displaying the ammunition fusion casting charging molding production process in a three-dimensional visualization manner in real time.
Further, the charge shaping process simulation subsystem is further configured to update corresponding parameter data of the production data using the ammunition charge shaping quality prediction parameter.
Further, the ammunition casting charge forming physical entity production line subsystem is also used for updating ammunition casting charge forming process parameters by using the ammunition charge forming quality prediction parameters so as to change the production data of the ammunition casting charge forming physical entity production line;
and the decision execution subsystem is also used for interconnecting virtual and real data of the ammunition casting charging forming production line by using the updated production data and simulation data and the digital twin model, so that the mapping of the virtual and real states of the ammunition casting charging forming production line is synchronous.
Compared with the prior art, the embodiment of the invention has the following advantages and beneficial effects:
according to the digital twin system and the method for the ammunition casting charge forming process, data fusion is performed on actual production data of an ammunition casting charge forming physical entity production line and simulation data of a coupled mathematical model to generate a data set, a digital twin model is constructed according to the data set and a multi-scale modeling framework, the digital twin model is further adopted to predict the ammunition casting charge forming quality, the ammunition casting charge forming process is controlled through the digital twin system, and therefore the technical problem that the ammunition charge forming quality is unstable due to manual experience and trial production adopted in the existing ammunition casting charge forming process is solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the principles of the invention. In the drawings:
FIG. 1 is a flow diagram of a digital twinning method for an ammunition fusion casting charge forming process.
FIG. 2 is a schematic view of a digital twinning system for an ammunition fusion cast charge forming process.
FIG. 3 is a schematic flow chart of a construction method of an ammunition casting charge forming digital twinning system.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to examples and accompanying drawings, and the exemplary embodiments and descriptions thereof are only used for explaining the present invention and are not meant to limit the present invention.
Examples
Referring to fig. 1-3, embodiments of the present invention provide a digital twinning method of an ammunition fusion cast charge forming process, comprising:
s1, acquiring production data of an ammunition fusion casting charging forming physical entity production line;
s2, establishing a coupling mathematical model of the charging quality and the charging forming process parameters according to the production data, and performing simulation analysis on the ammunition casting charging forming process by using the coupling mathematical model to obtain simulation data;
s3, deep processing is carried out on the production data and the simulation data by utilizing a big data technology so as to eliminate noise components and redundant information in the production data and the simulation data, and a data set is reconstructed by fusing the actually measured data and the simulation data;
s4, carrying out digital twin modeling on the ammunition fusion-cast charge forming physical entity by using the data set through a multi-scale modeling framework, and establishing a digital twin model;
s5, performing ammunition casting charging forming production line virtual-real data interconnection by using the production data and the simulation data and the digital twin model, and establishing a one-to-one corresponding interconnection relationship between the production data and the simulation data and the digital twin model;
and S6, analyzing and predicting the forming quality of the ammunition casting powder charge by using the digital twin model.
The digital twinning technology describes and models geometric characteristics, physical behaviors, a forming process and performance of a physical entity object in a digital mode, simulates the behavior process of the physical entity in a real environment by means of data, and establishes a digital mirror image of the physical entity in a digital space by means of technical means such as virtual-real interaction feedback, data fusion analysis and the like, so that a digital space model and a physical space model of a product and a production system are in a real-time interaction state, and the product and the physical space model can timely master the dynamic changes of each other and make a response in real time.
The danger, the unobservability and the complexity of constraint conditions in the ammunition casting charge forming process make it difficult to effectively monitor the charge forming process rule, dynamically reflect the forming production process through a digital twin system and feed back and control forming process parameters and working condition parameters in real time, optimize the charge forming process, fully master the on-site operation conditions of the ammunition casting charge forming, discover the abnormality in production in time, and completely monitor and predict the production running state through the system, thereby improving the charge forming production efficiency and quality consistency on the premise of ensuring safety.
Carrying out multi-scale digital twin modeling on an ammunition fusion casting charge forming physical entity production line, and carrying out charge forming process data sensing acquisition; secondly, fusion correction is carried out on the measured data and the simulation data, and the construction of a digital twin model of a fusion casting charge forming production line is completed through virtual-real interconnection and data driving; then, performing online prediction analysis on the molding quality of the casting charge based on the constructed twin model, optimizing process parameters in the molding process of the casting charge, and performing self-adaptive control on the process parameters through an equipment controller in a physical space; and finally, changing the state of the physical equipment by control, triggering a new round of data acquisition and sensing, driving a digital twin system to perform synchronous mapping and closed-loop interactive control on a physical entity production line, and performing visual display through a three-dimensional model to realize the measurability, the visibility and the controllability of the casting charge forming process.
Further, the method further comprises:
and S7, updating corresponding parameter data of the production data by using the ammunition charging forming quality prediction parameters, and returning to S2.
Further, the method further comprises:
and S8, updating the ammunition casting charging forming process parameters by using the ammunition charging forming quality prediction parameters to change the production data of the ammunition casting charging forming physical entity production line, and returning to S1.
And S9, performing virtual and real data interconnection on the ammunition casting charging forming production line by using the updated production data and simulation data and the digital twin model, so that virtual and real state mapping of the ammunition casting charging forming production line is synchronous.
Further, the method further comprises:
and displaying the ammunition fusion casting charging molding production process in real time in a three-dimensional visual manner.
Further, the S4 includes:
s41, establishing geometric models in equal proportion according to four scales of an ammunition casting and charging forming workshop, a production line, a station and a manufacturing element;
s42, setting physical attributes of the geometric model according to a data set;
s43, setting behavior attributes of the geometric model according to a data set;
and S44, setting the geometric model with regular attributes.
Further, the physical properties comprise explosive injection vacuum degree, explosive injection time, explosive injection speed, solidification nursing temperature, solidification pressure, projectile body temperature, explosive slurry viscosity, heat conductivity coefficient, explosive loading forming time and production environment temperature;
the behavior attributes comprise actions, behaviors and reaction mechanisms such as explosive pouring, projectile body vacuumizing, pressurizing, cooling and the like;
the regular attributes comprise a coupling mechanism of ammunition fusion casting charging forming quality characteristic parameters and forming process parameters, and a generation and inhibition mechanism of defects in the fusion casting charging solidification process.
An example of the method is illustrated with reference to fig. 3.
The specific process is as follows:
s1: for existing production data of an ammunition fusion casting charging forming physical entity production line, directly reading equipment data from a control system of the existing production line; and for the unavailable production data, an ammunition fusion casting charging forming physical entity production line is modified, a sensor is additionally arranged, and relevant process parameters and working condition parameters are acquired to obtain the actually measured data.
S2: according to historical production data, test data and measured data of ammunition casting charging forming, a coupled mathematical model of charging quality and charging forming process parameters is established, and simulation analysis is carried out on the casting charging forming process to obtain simulation data.
S3: and deeply processing the actual measurement data and the simulation data by using a big data technology to eliminate noise components and redundant information in signals, fusing the actual measurement data and the simulation data, and reconstructing a new data set.
S4: and (3) establishing geometric models with equal proportion according to four dimensions of ammunition casting and charging forming workshops, production lines, stations and manufacturing elements.
S5: and setting physical attributes of the geometric model built by the S4 according to the data set constructed by the S3, wherein the physical attributes comprise explosive injection vacuum degree, explosive injection time, explosive injection speed, solidification nursing temperature, solidification pressure, projectile body temperature, explosive slurry viscosity, heat conductivity coefficient, explosive charging forming time, production environment temperature and the like.
S6: and setting behavior attributes of the geometric model built in the S4 according to the data set constructed in the S3, wherein the behavior attributes comprise actions, behaviors, reaction mechanisms and the like of explosive pouring, projectile body vacuumizing, pressurizing, cooling and the like.
S7: and setting regular attributes of the geometric model established by S4, wherein the regular attributes comprise a coupling mechanism of fusion casting charge forming quality characteristic parameters and forming process parameters, a generation and inhibition mechanism of defects in a fusion casting charge solidification process and the like.
S8: and carrying out virtual and real data interconnection on an ammunition casting and charging forming production line based on the digital twin model established in the S4-S7 and the data acquired in the S1-S3, and establishing a one-to-one corresponding interconnection relationship between the data and the twin model.
The data source of the digital twin modeling comprises two parts of measured data and simulation data. The measured data and the simulation data are deeply processed by utilizing a big data technology to eliminate noise components and redundant information in signals, the measured data and the simulation data are fused, a new data set is reconstructed to be used as data of digital twin modeling, and the accuracy of the digital twin modeling is improved.
S9: on the basis of the constructed digital twin model, analyzing and predicting the charge forming quality, and feeding back the data of the predicted charge forming quality to the simulation system; and repeating the step S2 by the simulation system by using the charge forming quality prediction parameters, and carrying out a new round of virtual process simulation to obtain updated simulation data.
And (4) feeding the predicted charge forming quality data back to the simulation system according to the charge forming quality predicted by S9, repeating the step S2 by the simulation system by using the charge forming quality prediction parameters, and performing a new round of virtual process simulation to obtain updated simulation data, thereby realizing closed loop of the simulation data.
S10: and (4) optimizing and adjusting the charging forming process parameters according to the charging forming quality predicted in the step S9, starting the next round of data sensing acquisition by controlling and changing the state of an ammunition fusion casting charging forming physical entity production line, and repeating the step S1 to form closed-loop control so as to ensure the charging forming quality of the ammunition.
S11: and the virtual and real state mapping of the ammunition casting charging forming production line is synchronous through data updating.
S12: and an LED display screen is adopted to display the ammunition fusion casting charging forming production process in a three-dimensional visual real-time manner.
Referring to fig. 2, an embodiment of the present invention provides a digital twinning system for an ammunition fusion cast charge forming process, comprising:
the ammunition casting charging forming physical entity production line subsystem is used for realizing the ammunition casting charging forming process;
the data sensing and collecting subsystem is used for acquiring production data of an ammunition fusion casting charging forming physical entity production line;
the ammunition casting and charging forming process simulation subsystem is used for establishing a coupling mathematical model of the charging quality and the charging forming process parameters according to the production data, and performing simulation analysis on the ammunition casting and charging forming process by using the coupling mathematical model to obtain simulation data;
the data fusion processing subsystem is used for deeply processing the production data and the simulation data by utilizing a big data technology so as to eliminate noise components and redundant information in the production data and the simulation data and fuse the actual measurement data and the simulation data to reconstruct a data set;
the digital twinning modeling subsystem is used for carrying out digital twinning modeling on the ammunition fusion-cast charge forming physical entity by using the data set through a multi-scale modeling framework to establish a digital twinning model;
the decision execution subsystem is used for performing ammunition casting charging forming production line virtual-real data interconnection by using the production data and the simulation data and the digital twin model, and establishing a one-to-one corresponding interconnection relation between the production data and the simulation data and the digital twin model; for predicting ammunition fusion cast charge formation quality using the digital twin model analysis.
Further, the system further comprises:
and the three-dimensional visualization subsystem is used for displaying the ammunition fusion casting charging molding production process in a three-dimensional visualization manner in real time.
Referring to fig. 2, the digital twin system in the ammunition fusion casting charging forming production process comprises 7 subsystems of an ammunition fusion casting charging forming physical entity production line subsystem, a data perception acquisition subsystem, a charging forming process simulation subsystem, a data fusion processing subsystem, a digital twin modeling subsystem, a decision execution subsystem and a three-dimensional visualization subsystem.
1. The ammunition casting charging forming physical entity production line subsystem comprises: the explosive pouring and solidifying nursing device mainly comprises two modules of explosive pouring and solidifying nursing.
Firstly, an explosive pouring module: injecting the molten and melted casting explosive into the projectile body;
a solidification nursing module: solidifying the molten cast explosive in the projectile body into explosive columns through cooling, pressurizing and other nursing modes.
2. The data-aware acquisition subsystem: the method comprises the steps of collecting explosive injection vacuum degree, explosive injection time, explosive injection speed, solidification nursing temperature, solidification pressure, projectile body temperature, explosive injection molding internal temperature, production environment temperature, explosive injection molding time, and relevant technological parameters and working condition parameters of explosive injection molding defect size of an ammunition fusion casting explosive filling molding physical entity production line in a multi-channel real-time mode, and transmitting measured data information to an ammunition fusion casting explosive filling molding simulation subsystem and a data fusion processing subsystem.
The data perception acquisition mode is as follows:
firstly, a sensor perception collection mode: according to different types of physical fields, different sensors are adopted to obtain numerical information, for example, a temperature sensor is adopted for temperature, and a pressure sensor is adopted for pressure.
Secondly, the lower computer system acquisition mode: the equipment data is read directly from the control system of the existing ammunition fusion cast charge forming physical entity production line.
3. The ammunition casting charging molding simulation subsystem comprises: establishing a coupled mathematical model of the explosive charging quality and the explosive charging forming technological parameters according to historical production data, test data and actual measurement data of the ammunition fusion casting explosive charging forming, and carrying out simulation analysis on the fusion casting explosive charging forming technological process to obtain simulation data; and the simulation subsystem performs a new round of virtual process simulation by using the quality prediction parameters output by the decision execution subsystem to obtain updated simulation data.
4. The data fusion processing subsystem: receiving the running state data information of the data perception acquisition subsystem and the simulation data information of the simulation subsystem, deeply processing the received numerical information by using a big data technology to eliminate noise components and redundant information in signals, fusing the actual measurement data and the simulation data, reconstructing a new data set, and preparing for digital twin accurate modeling and system running decision.
5. The digital twin modeling subsystem: the method is characterized in that a multi-scale modeling framework is adopted to carry out digital twin modeling on four scales of an ammunition fusion casting and charging forming workshop, a production line, stations and manufacturing elements (including personnel, logistics, instruments, projectiles and explosives), equal-proportion lightweight geometric modeling is carried out on models of each scale, and meanwhile, physical attributes, behavior attributes and regular attributes are set for each model respectively.
The modeling process is as follows:
geometric modeling: carrying out equal-proportion lightweight modeling on four scales of an ammunition fusion casting charging forming workshop, a production line, a station and a manufacturing element, and ensuring that a key scale corresponds to a real scale;
secondly, physical modeling: setting physical attributes of the built model, including explosive injection vacuum degree, explosive injection time, explosive injection speed, solidification nursing temperature, solidification pressure, projectile body temperature, explosive slurry viscosity, heat conductivity coefficient, explosive charging forming time, production environment temperature and the like;
behavior modeling: setting behavior attributes of the built model, wherein the behavior attributes comprise actions such as explosive pouring, projectile body vacuumizing, pressurizing and cooling, behavior and reaction mechanisms and the like;
and fourthly, modeling the rule: and setting regular attributes of the established model, wherein the regular attributes comprise a coupling mechanism of fusion casting charge forming quality characteristic parameters and forming process parameters, a generation and inhibition mechanism of defects in a fusion casting charge solidification process and the like.
6. The decision execution subsystem: on the basis of the constructed digital twin model, analyzing and predicting the charge forming quality, and feeding back the data of the predicted charge forming quality to the simulation system; and (3) optimizing and adjusting the powder charge forming process parameters, and controlling and changing the state of the ammunition fusion casting powder charge forming physical entity production line and then starting the next round of data sensing acquisition to form closed-loop control so as to ensure the powder charge forming quality of the ammunition.
7. The three-dimensional visualization subsystem: the ammunition casting charging forming production line dynamically tracks and reflects the latest state of a physical entity production line through a digital twin body, and an LED display screen is adopted to display the ammunition casting charging forming production process in a three-dimensional visual and real-time manner.
Further, the charge shaping process simulation subsystem is further configured to update corresponding parameter data of the production data using the ammunition charge shaping quality prediction parameter.
Further, the ammunition casting charge forming physical entity production line subsystem is also used for updating ammunition casting charge forming process parameters by using the ammunition charge forming quality prediction parameters so as to change the production data of the ammunition casting charge forming physical entity production line;
and the decision execution subsystem is also used for interconnecting virtual and real data of the ammunition casting charging forming production line by using the updated production data and simulation data and the digital twin model, so that the mapping of the virtual and real states of the ammunition casting charging forming production line is synchronous.
Therefore, the embodiment of the invention solves the problem of opaqueness in the traditional ammunition casting charging forming method production process by adopting a three-dimensional visualization mode through the construction of a digital twin model and the mapping correlation of virtual and real data, and improves the intrinsic safety of the ammunition casting charging forming production process. The ammunition fusion casting charging forming quality prediction and the process parameter optimization control are adopted, so that the consistency of the fusion casting charging forming quality is improved; through the intelligent operation of the powder charging forming process, the experience requirement on production workers is reduced.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (10)
1. A digital twinning method for ammunition fusion casting charge forming process is characterized by comprising the following steps:
s1, acquiring production data of an ammunition fusion casting charging forming physical entity production line;
s2, establishing a coupling mathematical model of the charging quality and the charging forming process parameters according to the production data, and performing simulation analysis on the ammunition casting charging forming process by using the coupling mathematical model to obtain simulation data;
s3, deep processing is carried out on the production data and the simulation data by utilizing a big data technology so as to eliminate noise components and redundant information in the production data and the simulation data, and a data set is reconstructed by fusing the actually measured data and the simulation data;
s4, carrying out digital twin modeling on the ammunition fusion-cast charge forming physical entity by using the data set through a multi-scale modeling framework, and establishing a digital twin model;
s5, performing ammunition casting charging forming production line virtual-real data interconnection by using the production data and the simulation data and the digital twin model, and establishing a one-to-one corresponding interconnection relationship between the production data and the simulation data and the digital twin model;
and S6, analyzing and predicting the forming quality of the ammunition casting powder charge by using the digital twin model.
2. A digital twinning method of an ammunition fusion cast charge forming process as claimed in claim 1, further comprising:
and S7, updating corresponding parameter data of the production data by using the ammunition charging forming quality prediction parameters, and returning to S2.
3. A digital twinning method of an ammunition fusion cast charge forming process as claimed in claim 2, further comprising:
and S8, updating the ammunition casting charging forming process parameters by using the ammunition charging forming quality prediction parameters to change the production data of the ammunition casting charging forming physical entity production line, and returning to S1.
And S9, performing virtual and real data interconnection on the ammunition casting charging forming production line by using the updated production data and simulation data and the digital twin model, so that virtual and real state mapping of the ammunition casting charging forming production line is synchronous.
4. A digital twinning method of an ammunition fusion cast charge forming process as claimed in claim 1, further comprising:
and displaying the ammunition fusion casting charging molding production process in real time in a three-dimensional visual manner.
5. A digital twinning method of ammunition fusion cast charge forming process as claimed in claim 1, wherein said S4 comprises:
s41, establishing geometric models in equal proportion according to four scales of an ammunition casting and charging forming workshop, a production line, a station and a manufacturing element;
s42, setting physical attributes of the geometric model according to a data set;
s43, setting behavior attributes of the geometric model according to a data set;
and S44, setting the geometric model with regular attributes.
6. A digital twinning method of an ammunition fusion cast charge forming process as claimed in claim 5,
the physical properties comprise explosive injection vacuum degree, explosive injection time, explosive injection speed, solidification nursing temperature, solidification pressure, projectile body temperature, explosive slurry viscosity, heat conductivity coefficient, explosive filling forming time and production environment temperature;
the behavior attributes comprise actions, behaviors and reaction mechanisms such as explosive pouring, projectile body vacuumizing, pressurizing, cooling and the like;
the regular attributes comprise a coupling mechanism of ammunition fusion casting charging forming quality characteristic parameters and forming process parameters, and a generation and inhibition mechanism of defects in the fusion casting charging solidification process.
7. A digital twinning system for ammunition fusion cast charge forming processes, comprising:
the ammunition casting charging forming physical entity production line subsystem is used for realizing the ammunition casting charging forming process;
the data sensing and collecting subsystem is used for acquiring production data of an ammunition fusion casting charging forming physical entity production line;
the ammunition casting and charging forming process simulation subsystem is used for establishing a coupling mathematical model of the charging quality and the charging forming process parameters according to the production data, and performing simulation analysis on the ammunition casting and charging forming process by using the coupling mathematical model to obtain simulation data;
the data fusion processing subsystem is used for deeply processing the production data and the simulation data by utilizing a big data technology so as to eliminate noise components and redundant information in the production data and the simulation data and fuse the actual measurement data and the simulation data to reconstruct a data set;
the digital twinning modeling subsystem is used for carrying out digital twinning modeling on the ammunition fusion-cast charge forming physical entity by using the data set through a multi-scale modeling framework to establish a digital twinning model;
the decision execution subsystem is used for performing ammunition casting charging forming production line virtual-real data interconnection by using the production data and the simulation data and the digital twin model, and establishing a one-to-one corresponding interconnection relation between the production data and the simulation data and the digital twin model; for predicting ammunition fusion cast charge formation quality using the digital twin model analysis.
8. A digital twinning system for ammunition fusion cast charge forming processes as claimed in claim 7, comprising:
and the three-dimensional visualization subsystem is used for displaying the ammunition fusion casting charging molding production process in a three-dimensional visualization manner in real time.
9. A digital twinning system for an ammunition fusion cast charge shaping process as claimed in claim 7 wherein said charge shaping process simulation subsystem is further adapted to update corresponding parameter data of production data using ammunition charge shaping quality prediction parameters.
10. A digital twinning system for an ammunition fusion cast charge shaping process as claimed in claim 7, wherein the ammunition fusion cast charge shaping physical entity production line subsystem is further adapted to update ammunition fusion cast charge shaping process parameters using ammunition charge shaping quality prediction parameters to change production data of an ammunition fusion cast charge shaping physical entity production line;
and the decision execution subsystem is also used for interconnecting virtual and real data of the ammunition casting charging forming production line by using the updated production data and simulation data and the digital twin model, so that the mapping of the virtual and real states of the ammunition casting charging forming production line is synchronous.
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