CN115374574B - Digital twinning system for impact hydroforming and construction method - Google Patents
Digital twinning system for impact hydroforming and construction method Download PDFInfo
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Abstract
The invention discloses a digital twinning system for impact hydroforming and a construction method thereof, belonging to the technical field of digital twinning and being characterized in that: the solid machine forming module comprises impact hydraulic forming equipment, solid forming process data, solid equipment state data and solid workpiece quality data; the virtual machine updating module continuously updates the impact hydroforming digital twin model; the information processing module is used for storing the entity database and the virtual database, matching the entity database with the virtual database and finally transmitting an instruction to the virtual machine updating module and the virtual machine forming module; and the virtual machine forming module is in data interaction with the information processing module, acquires the optimal impact hydraulic forming process parameters and equipment state data by establishing the digital twin body, and updates the digital twin body according to the equipment state data to acquire the optimal impact hydraulic forming process parameters and equipment state data of the next time. The method is used for solving the problem that the parameter prediction precision of the existing impact hydroforming process is insufficient.
Description
Technical Field
The invention relates to the technical field of digital twinning, in particular to a digital twinning system for impact hydroforming and a construction method.
Background
Impact hydroforming is a high energy rate forming technique that uses an impact body to impact a liquid medium quickly so that the kinetic energy of the impact body is instantaneously converted into the pressure energy of the liquid, and finally the workpiece is quickly formed. The impact hydraulic forming has the excellent performances of high energy utilization rate, short forming time, high material deformation rate and the like, can obviously improve the forming limit of the material, and has good forming effect on complex small characteristics.
Chinese patent publication No.: 201610814955.X discloses a high energy rate pulsating impact hydroforming process, the single impact process of which is: the impact power source drives the impact body to move at a high speed, the impact body moving at the high speed impacts the liquid medium, and the kinetic energy of the impact body is instantly converted into the pressure energy of the liquid medium, so that the workpiece is quickly deformed. The method can accurately control the total output energy, forms the required part shape through multiple pulse impact, has good film sticking effect, and can be used for precise forming of alloys which are difficult to deform, such as magnesium, aluminum, titanium and the like.
Impact hydroforming times are very short, typically within 10 μm, which results in deformation processes of the workpiece that are difficult to observe experimentally and expensive to test. While the traditional finite element simulation can acquire the forming rule and performance of the workpiece by the function of recording critical parameters such as strain, stress, displacement and the like in real time, the influence of the equipment state on the forming process is not generally considered. The working service environment of impact hydroforming equipment is generally severe, and impact bodies, dies and the like in the equipment can be damaged to different degrees in the high-speed impact process. The above problems all have great influence on the workpiece forming prediction result, so that the influence of key equipment parameters on each forming process is reasonably considered, and the key for accurately obtaining the optimal forming process parameters of the workpiece is realized.
Disclosure of Invention
The invention aims to provide a digital twinning system for impact hydroforming and a construction method thereof, which are used for solving the problem of insufficient prediction precision of the existing impact hydroforming process parameters.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
a first object of the present invention is to provide a digital twinning system for impact hydroforming comprising:
the solid machine forming module is used for constructing a solid database and comprises impact hydraulic forming equipment, solid forming process data, solid equipment state data and solid workpiece quality data of the impact hydraulic forming equipment;
the virtual machine updating module is used for establishing an impact hydraulic forming digital twin model by utilizing the entity database, acquiring virtual forming process data, virtual equipment state data and virtual workpiece quality data through engineering simulation software, and matching the entity database with the virtual database so as to continuously update the impact hydraulic forming digital twin model;
the information processing module performs data interaction with the entity machine forming module and the virtual machine updating module, is used for storing an entity database and a virtual database, matches the entity database and the virtual database and finally transmits an instruction to the virtual machine updating module and the virtual machine forming module;
and the virtual machine forming module is in data interaction with the information processing module, acquires optimal impact hydroforming process parameters and equipment state data by establishing the digital twin body, and updates the digital twin body according to the equipment state data to acquire the optimal process parameters and the equipment state data of the next impact hydroforming.
Preferably, the solid machine forming module acquires a plurality of groups of forming process data, records the quality data of the solid workpiece after each forming, and detects the state data of the solid equipment after each forming; and screening out real and effective data and storing the data in an entity database.
Preferably, the virtual machine updating module acquires multiple groups of virtual forming process data under the same process conditions as the physical machine on the engineering simulation software, records the quality data of the virtual workpiece and the state data of the virtual equipment after each forming, screens out accurate virtual data and stores the accurate virtual data in the virtual database.
Preferably, when the information processing module matches an entity database with a virtual database; if the matching degree reaches the standard, updating the impact hydroforming digital twin model into a digital twin body; and if the matching degree does not reach the standard, correcting the impact hydroforming digital twin model based on the standard of the entity database until the two databases are successfully matched.
Preferably, the virtual machine forming module outputs the optimal process parameters for the first forming and the equipment state data after the first forming through the digital twin body;
updating the digital twins by using the equipment state data after the first forming of the digital twins;
outputting the optimal process parameters of the second forming and the equipment state data after the second forming by updating the digital twin body; and by analogy, obtaining the optimal process parameters and equipment state data after the third time, the fourth time and the nth time.
A second object of the present invention is to provide a method of constructing a digital twin system for impact hydroforming, including:
s1, establishing an impact hydraulic forming digital twin model through an entity database;
s2, acquiring a virtual database which is the same as the data type of the entity database by using the impact hydroforming digital twin model, matching the two databases, updating the impact hydroforming digital twin model into a digital twin body if the matching degree reaches the standard, and re-matching after updating the impact hydroforming digital twin model by using the entity database as the standard if the matching degree does not reach the standard until the matching degree reaches the standard;
s3, predicting a forming process by using a digital twin;
s4, acquiring the optimal forming process parameters of the impact hydroforming equipment after the impact hydroforming equipment works once by using the digital twin body;
s5, acquiring equipment state data of the impact hydroforming equipment after the impact hydroforming equipment works once by using the digital twin body;
s6, updating the impact hydroforming digital twin body by using equipment state data after the impact hydroforming equipment works once;
s7, acquiring the optimal forming process parameters and equipment state parameters of the impact hydroforming equipment after the impact hydroforming equipment works for the second time by using the digital twin body updated for the first time;
and S8, repeating the steps from S3 to S7 to obtain the optimal forming process conditions under different equipment states.
Preferably, S1 comprises:
s11, obtaining the three-dimensional size of the metal blank by using a measuring tool, obtaining johnson-cook standard parameters and physical parameters required by simulation of impact hydraulic forming through a national standard test, recording impact wave parameters and forming temperature of an impact body set before forming, and finally obtaining entity forming process data;
s12, acquiring the three-dimensional size of the impact hydroforming equipment by using a measuring tool, and acquiring physical model parameters of the impact hydroforming equipment; simultaneously measuring and recording three-dimensional size and position parameters of an impact body and the inner wall of the cavity before forming, and temperature, viscosity and volume parameters of hydraulic oil before forming to obtain state data of entity equipment before forming;
s13, performing a test by using impact hydraulic forming entity equipment, recording the process size and the thinning rate of the formed workpiece, and finally obtaining the quality data of the entity workpiece; simultaneously measuring and recording three-dimensional size and position parameters of the formed impact body and the inner wall of the cavity, temperature and viscosity of the formed hydraulic oil and volume parameters after compression, and finally obtaining state data of the formed entity equipment;
s14, adopting different process conditions, carrying out multiple groups of operations of S11, S12 and S13, screening optimal and accurate entity data, and storing the entity data into an entity database;
and S15, establishing an impact hydraulic forming digital twin model by using the entity database.
Preferably, S2 comprises:
s21, performing engineering simulation on the impact hydroforming process by adopting an impact hydroforming digital twin model, and acquiring virtual equipment state data and virtual workpiece quality data under the same process conditions in S11, S12, S13 and S14;
s22, carrying out multi-group process simulation through the impact hydro-forming digital twin model, and screening out accurate virtual equipment state data and virtual workpiece quality data;
s23, under the condition that the real working times of the impact hydraulic forming entity equipment and the digital twin model are the same, matching the equipment state and the workpiece quality data before and after each working of the impact hydraulic forming entity equipment and the digital twin model, and setting a matching margin according to an industrial standard; if the matching degree is within the matching margin, updating the impact hydroforming digital twin model into a digital twin; if the matching degree is out of the matching margin, returning to S21 until the final matching degree is within the matching margin.
Preferably, S3 comprises:
s31, updating the impact hydroforming digital twin model within the matching margin acquired in the S23 into a digital twin;
and S32, performing process prediction by using the digital twin body, and screening process parameters according to the standard degree of the three-dimensional process size and the reduction rate of the finished product of the workpiece.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, the impact hydroforming entity equipment and the digital twin body are interconnected, and based on the characteristic that the working environment of the impact hydroforming equipment is severe so that the equipment can be damaged, the digital twin body suitable for impact hydroforming is established by combining the entity forming process data, the entity equipment state data and the entity workpiece quality data, so that the accuracy of the prediction of the impact hydroforming result is effectively ensured.
The digital twin system provided by the invention considers that the damage of the equipment to the equipment per se per operation and the influence degree of the damage to the forming result per time is different, the digital twin body is updated based on the equipment state data after each operation, the optimal process parameters of the impact hydroforming under different equipment states are finally obtained, and the prediction precision of the process parameters of the impact hydroforming is further effectively improved.
Drawings
FIG. 1 is a block diagram of a system architecture of a preferred embodiment of the present invention;
FIG. 2 is a flow chart of the construction of the preferred embodiment of the present invention;
FIG. 3 is a block logic diagram of the system of the preferred embodiment of the present invention.
Detailed Description
In order to make the above objects, control systems and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and do not limit the invention.
Referring to fig. 1 and 3, a digital twinning system for impact hydroforming includes:
the solid machine forming module comprises impact hydraulic forming equipment existing as a solid, and solid forming process data, solid equipment state data and solid workpiece quality data based on the impact hydraulic forming, and is used for constructing a solid database;
the virtual machine updating module is used for establishing an impact hydraulic forming digital twin model by utilizing the entity database, acquiring the virtual database through engineering simulation software, and matching the entity database with the virtual database so as to continuously update the impact hydraulic forming digital twin model;
the information processing module is connected with the entity machine forming module and the virtual machine updating module and used for storing the entity database and the virtual database, matching the entity database and the virtual database and finally transmitting an instruction to the virtual machine updating module and the virtual machine forming module;
and the virtual machine forming module is connected with the information processing module, acquires optimal impact hydraulic forming process parameters and equipment state data by establishing the digital twin body, and updates the digital twin body according to the acquired equipment state data to acquire the optimal impact hydraulic forming process parameters and equipment state data of the next time.
In the preferred embodiment described above:
the solid machine forming module comprises:
acquiring entity forming process data of an entity machine through a forming process;
acquiring entity equipment state data of the entity machine through the forming process;
acquiring the quality data of the entity workpiece of the entity machine through the forming process;
the method comprises the steps of acquiring multiple groups of forming process data, recording quality data of an entity workpiece after forming is completed each time, detecting the state of equipment after forming is completed each time, and storing the data; and finally, screening out real and effective data according to experience and storing the data in an entity database.
The obtaining of the entity forming process data specifically comprises:
during production, firstly, the material attribute and the three-dimensional size of a blank are obtained;
the technological parameters of the forming process are obtained during production, including the impact speed, the impact energy, the blank holder force and the forming temperature of the impact body.
The obtaining of the state data of the entity device specifically includes:
acquiring three-dimensional physical model data of the forming equipment during production;
the state data of the forming equipment is obtained during production, and the state data comprises deformation and position parameters of the impact body, the inner wall of the forming cavity and the female die before and after each forming, and temperature, viscosity and volume parameters of hydraulic oil in the forming cavity before and after each compression.
The acquiring of the quality data of the entity workpiece specifically comprises the following steps:
and obtaining the three-dimensional process size and the thinning rate of the finished workpiece during production.
The virtual machine updating module acquires an entity database of the entity machine and establishes an impact hydroforming digital twin model according to the entity database; acquiring virtual process data of a virtual machine passing through a forming process; acquiring virtual equipment state data of a virtual machine passing through a forming process; acquiring virtual workpiece quality data of a virtual machine through a forming process; preferably, multiple groups of virtual forming process data under the same process conditions as the physical machine are acquired on the engineering simulation software, the quality data and the equipment state data of the virtual workpiece after each forming are recorded, and accurate virtual data are screened out by using an optimization algorithm and stored in a virtual database. The type of the obtained virtual machine forming process data is the same as that of the data of the entity machine.
The functions of the information processing module include:
an entity database obtained by an entity machine forming module;
a virtual database obtained by a virtual machine forming module;
matching the entity database with the virtual database; if the matching degree reaches the standard, updating the impact hydroforming digital twin model into a digital twin body; and if the matching degree does not reach the standard, correcting the impact hydroforming digital twin model based on the standard of the entity database until the two databases are successfully matched.
The virtual machine forming module acquires a digital twin body through the entity machine forming module, the virtual machine module and the information processing module; outputting the optimal process parameters for the first forming and the equipment state data after the first forming through the digital twin body; updating the digital twins by using the equipment state data after the first forming of the digital twins; outputting the optimal process parameters of the second forming and the equipment state data after the second forming through the updated digital twin body; and by analogy with the scheme, the optimal process parameters and equipment state data after the third time, the fourth time and the nth time are obtained. The first time, the second time and the nth time refer to the working times of the entity equipment of the forming process, and the working time is recorded when the entity equipment forms a workpiece once.
Referring to fig. 2, a method for constructing a digital twin system for impact hydroforming is provided, which is used for constructing the digital twin system for impact hydroforming, and comprises the following steps:
s1, establishing an impact hydraulic forming digital twin model through an entity database acquired by an entity machine forming module;
s2, acquiring a virtual database which is the same as the data type of the entity database by using the impact hydroforming digital twin model, matching the two databases, updating the impact hydroforming digital twin model into a digital twin body if the matching degree reaches the standard, and updating the impact hydroforming digital twin model by using the entity database as the standard and then re-matching if the matching degree does not reach the standard;
s3, updating the impact hydroforming digital twin model with the matching degree up to the digital twin body; and performing forming process prediction by using the digital twin;
s4, acquiring the optimal forming process parameters of the equipment after working once by using the digital twin body;
s5, acquiring equipment state data of the equipment after the equipment works once by using the digital twin;
s6, updating the impact hydroforming digital twin body by using the equipment state data after the equipment works once;
and S7, acquiring the optimal forming process parameters and the equipment state parameters after the equipment works for the second time by using the digital twin body updated for the first time.
And repeating the steps S3, S4, S5, S6 and S7, so that the damage to the impact hydroforming equipment after each working can be reasonably considered, the influence of the damage to the next forming result is predicted, the optimal forming process conditions under different equipment states are obtained, the impact hydroforming prediction precision is finally improved, and the workpiece quality is improved.
Referring to fig. 3, which is an overall logic diagram of a digital twin system based on impact hydroforming according to the present invention, the S1 includes:
s11, obtaining the three-dimensional size of the metal blank by using a measuring tool, obtaining johnson-cook standard parameters and other physical parameters required by simulation of impact hydraulic forming through a national standard test, recording impact wave parameters and forming temperature of an impact body set before forming, and finally obtaining entity forming process data;
s12, acquiring the three-dimensional size of the impact hydroforming equipment by using a measuring tool, and acquiring physical model parameters of the equipment; simultaneously measuring and recording three-dimensional size and position parameters of an impact body and the inner wall of the cavity before forming, and temperature, viscosity and volume parameters of hydraulic oil before forming to obtain state data of entity equipment before forming;
s13, performing a test by using impact hydraulic forming entity equipment, recording the process size and the thinning rate of the formed workpiece, and finally obtaining the quality data of the entity workpiece; simultaneously measuring and recording three-dimensional size and position parameters of the formed impact body and the inner wall of the cavity, temperature and viscosity of the formed hydraulic oil and volume parameters after compression, and finally obtaining state data of the formed entity equipment;
specifically, the device state data before forming and after forming obtained in S12 and S13 are integrated to finally obtain the entity device state data.
S14, adopting different process conditions, carrying out a plurality of groups of operations S11, S12 and S13, screening optimal and accurate entity data through experience, and storing the entity data into an entity database;
and S15, establishing an impact hydraulic forming digital twin model by using the entity database obtained in the S14.
Specifically, the plurality of tests performed in S14 are divided by the number of machine operations, and the workpieces formed once are all regarded as physical machine operations once.
The S2 comprises the following steps:
s21, performing engineering simulation on the impact hydroforming process by adopting the impact hydroforming digital twin model established in the step S15, and acquiring virtual equipment state data and virtual workpiece quality data under the same process conditions as those in the steps S11, S12, S13 and S14;
s22, carrying out multiple groups of process simulation through the impact hydroforming digital twin model, and screening out accurate virtual equipment state data and virtual workpiece quality data by using an optimization algorithm, artificial experience and other modes;
s23, under the condition that the real working times of the impact hydraulic forming entity equipment and the digital twin model are the same, matching the equipment state and the workpiece quality data before and after each working of the impact hydraulic forming entity equipment and the digital twin model, and setting a matching margin according to an industrial standard; if the matching degree is within the matching margin, updating the impact hydroforming digital twin model into a digital twin; if the matching degree is out of the matching margin, returning to S21 until the final matching degree is within the matching margin.
Specifically, in S21, the acquired virtual device and workpiece quality data type should be the same as the entity data type in S12, S13, and S14, so as to compare and determine whether the operation data of the established impact hydroforming digital twin model matches the operation data of the existing impact hydroforming device, and finally create an impact hydroforming digital twin model with high accuracy.
In S22, the multiple sets of process simulation performed refers to performing multiple sets of repeated simulation under the same process condition, so as to screen out accurate virtual data.
In S23, the ensuring that the actual working times of the impact hydroforming entity device and the digital twin model are the same means that the entity device is used as a standard, the entity device forms a workpiece once, and the whole simulation process of the corresponding impact hydroforming digital twin model for obtaining optimal data is regarded as the virtual device working once; it will be understood by those skilled in the art that during the whole forming simulation process when the virtual device works once, the device state data adopted by the impact hydroforming digital twin model should be the same, and is the device state data before the virtual device works for the time.
The S3 comprises the following steps:
s31, updating the impact hydroforming digital twin model within the matching margin acquired in the S23 into a digital twin;
and S32, performing process prediction by using the digital twin body created in the S31, and screening process parameters according to the three-dimensional process size and the reduction rate standard degree of the finished product of the workpiece.
Specifically, the process of screening a set of process parameters in S32 should work once as a virtual device; it will be understood by those skilled in the art that the set of process parameters is all of the process parameters required to form a primary workpiece.
The S4 comprises the following steps:
and S41, acquiring the optimal forming process parameter after the virtual equipment works once through S32, wherein the parameter can be used as the optimal process parameter adopted by the entity equipment when the entity equipment works once.
The S5 comprises the following steps:
and S51, acquiring the equipment state data of the virtual equipment after the virtual equipment works once through S32, wherein the data can be regarded as the equipment state data of the entity equipment after the entity equipment works once.
The S6 comprises the following steps:
and S61, updating the digital twin body by using the device state data acquired in S51.
The S7 comprises the following steps:
and S71, repeating the steps S3, S4 and S5 to obtain the optimal process parameters and the equipment state data of the virtual equipment after the virtual equipment works for the second time.
And repeating the steps of S3, S4, S5, S6 and S7 to obtain the optimal forming process conditions and equipment state data of the virtual equipment after the third, fourth and nth working times.
The above description is only for the preferred embodiment of the present invention, and is not intended to limit the present invention in any way, and all simple modifications, equivalent changes and modifications made to the above embodiment according to the technical spirit of the present invention are within the scope of the technical solution of the present invention.
Claims (3)
1. A digital twinning system for impact hydroforming, comprising:
the solid machine forming module is used for constructing an entity database and comprises impact hydraulic forming equipment, and entity forming process data, entity equipment state data and entity workpiece quality data of the impact hydraulic forming equipment; the solid machine forming module acquires a plurality of groups of forming process data, records the quality data of the solid workpiece after each forming, and detects the state data of the solid equipment after each forming; screening out real and effective data and storing the real and effective data in an entity database;
the virtual machine updating module is used for establishing an impact hydraulic forming digital twin model by utilizing the entity database, acquiring virtual forming process data, virtual equipment state data and virtual workpiece quality data through engineering simulation software, and matching the entity database with the virtual database so as to continuously update the impact hydraulic forming digital twin model; the virtual machine updating module acquires multiple groups of virtual forming process data under the same process conditions as the physical machine on the engineering simulation software, records the quality data of the virtual workpiece and the state data of the virtual equipment after each forming, screens out accurate virtual data and stores the accurate virtual data in a virtual database;
the information processing module performs data interaction with the entity machine forming module and the virtual machine updating module, is used for storing an entity database and a virtual database, matches the entity database and the virtual database and finally transmits an instruction to the virtual machine updating module and the virtual machine forming module;
the virtual machine forming module is used for carrying out data interaction with the information processing module, acquiring optimal impact hydroforming process parameters and equipment state data by establishing a digital twin body, and updating the digital twin body according to the equipment state data to acquire the optimal impact hydroforming process parameters and the equipment state data at the next time;
the construction method of the digital twin system for impact hydroforming comprises the following steps:
s1, establishing an impact hydraulic forming digital twin model through an entity database; the method specifically comprises the following steps:
s11, obtaining the three-dimensional size of the metal blank by using a measuring tool, obtaining johnson-cook standard parameters and physical parameters required by simulation of impact hydraulic forming through a national standard test, recording impact wave parameters and forming temperature of an impact body set before forming, and finally obtaining entity forming process data;
s12, acquiring the three-dimensional size of the impact hydroforming equipment by using a measuring tool, and acquiring physical model parameters of the impact hydroforming equipment; simultaneously measuring and recording three-dimensional size and position parameters of an impact body and the inner wall of the cavity before forming, and temperature, viscosity and volume parameters of hydraulic oil before forming to obtain state data of entity equipment before forming;
s13, performing a test by using impact hydraulic forming entity equipment, recording the process size and the thinning rate of the formed workpiece, and finally obtaining the quality data of the entity workpiece; simultaneously measuring and recording three-dimensional size and position parameters of the formed impact body and the inner wall of the cavity, temperature and viscosity of the formed hydraulic oil and volume parameters after compression, and finally obtaining state data of the formed entity equipment;
s14, adopting different process conditions, carrying out multiple groups of operations of S11, S12 and S13, screening optimal and accurate entity data, and storing the entity data into an entity database;
s15, establishing an impact hydraulic forming digital twin model by using an entity database;
s2, acquiring a virtual database which is the same as the data type of the entity database by using the impact hydroforming digital twin model, matching the two databases, updating the impact hydroforming digital twin model into a digital twin body if the matching degree reaches the standard, and re-matching after updating the impact hydroforming digital twin model by using the entity database as the standard if the matching degree does not reach the standard until the matching degree reaches the standard; s2 comprises the following steps:
s21, performing engineering simulation on the impact hydroforming process by adopting an impact hydroforming digital twin model, and acquiring virtual equipment state data and virtual workpiece quality data under the same process conditions in S11, S12, S13 and S14;
s22, carrying out multi-group process simulation through the impact hydro-forming digital twin model, and screening out accurate virtual equipment state data and virtual workpiece quality data;
s23, under the condition that the real working times of the impact hydraulic forming entity equipment and the digital twin model are the same, matching the equipment state and the workpiece quality data before and after each working of the impact hydraulic forming entity equipment and the digital twin model, and setting a matching margin according to an industrial standard; if the matching degree is within the matching margin, updating the impact hydroforming digital twin model into a digital twin; if the matching degree is out of the matching margin, returning to S21 until the final matching degree is within the matching margin;
s3, predicting a forming process by using a digital twin; the method specifically comprises the following steps:
s31, updating the impact hydroforming digital twin model within the matching margin acquired in the S23 into a digital twin;
s32, performing process prediction by using the digital twin body, and screening process parameters according to the standard degree of the three-dimensional process size and the reduction rate of a finished workpiece product;
s4, acquiring the optimal forming process parameters of the impact hydroforming equipment after the impact hydroforming equipment works once by using the digital twin body;
s5, acquiring equipment state data of the impact hydroforming equipment after the impact hydroforming equipment works once by using the digital twin body;
s6, updating the impact hydroforming digital twin body by using equipment state data after the impact hydroforming equipment works once;
s7, acquiring the optimal forming process parameters and equipment state data of the impact hydroforming equipment after the impact hydroforming equipment works for the second time by using the digital twin body updated for the first time;
and S8, repeating the steps from S4 to S7, and obtaining the optimal process parameters and equipment state data after the third time, the fourth time and the nth time.
2. The digital twinning system for impact hydroforming according to claim 1, wherein when the information processing module matches a physical database with a virtual database; if the matching degree reaches the standard, updating the impact hydroforming digital twin model into a digital twin body; and if the matching degree does not reach the standard, correcting the impact hydroforming digital twin model based on the standard of the entity database until the two databases are successfully matched.
3. The digital twin system for impact hydroforming according to claim 1, wherein the virtual machine forming module outputs first forming optimal process parameters and first formed equipment status data through a digital twin;
updating the digital twins by using the equipment state data after the first forming of the digital twins;
outputting the optimal process parameters of the second forming and the equipment state data after the second forming by updating the digital twin body; and by analogy, obtaining the optimal process parameters and equipment state data after the third time, the fourth time and the nth time.
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