CN114372395A - CAE (computer aided engineering) automatic modeling method, system, terminal and storage medium for kinematic pairs - Google Patents
CAE (computer aided engineering) automatic modeling method, system, terminal and storage medium for kinematic pairs Download PDFInfo
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Abstract
The invention discloses a CAE automatic modeling method, a system, a terminal and a storage medium of a kinematic pair, belonging to the field of finite element automatic modeling and comprising the following steps: when a kinematic pair modeling request is received, acquiring a kinematic pair modeling type, a modeling node and two to-be-assembled three-dimensional finite element models in the kinematic pair modeling request; determining kinematic pair modeling characteristic points through the kinematic pair modeling type, the modeling nodes and the two to-be-assembled three-dimensional finite element models; and determining constraint conditions through the kinematic pair modeling characteristic points, and establishing kinematic pair models of the two three-dimensional finite element models through the constraint conditions and the two to-be-assembled three-dimensional finite element models. The modeling precision is guaranteed, meanwhile, the working efficiency is greatly improved, and the product development period is shortened. Firstly, the technical scheme can accurately solve the characteristic points of the kinematic pair through an analytical equation, and automatically establish the constraint relation between the characteristic points and the related parts, thereby avoiding errors caused by manual operation.
Description
Technical Field
The invention discloses a CAE (computer aided engineering) automatic modeling method, system, terminal and storage medium of a kinematic pair, belonging to the field of finite element automatic modeling.
Background
In the whole vehicle collision simulation analysis, in order to realize the relative transmission among the components, a large amount of modeling of kinematic pairs is required, such as a universal joint of a steering system, a revolute pair between a vehicle door and a vehicle body, a kinematic pair of a transmission system, a spherical hinge in a suspension system and the like. Therefore, the modeling of the kinematic pair is rapidly and accurately carried out, and the method has very important significance for the analysis of the collision of the whole vehicle. However, the types and the number of the finished automobile kinematic pairs are large, the manual modeling steps are complicated, and the method is not uniform; in the actual working process, a large amount of time is needed for modeling the kinematic pair, the complex modeling steps easily cause modeling errors, and different modeling methods easily cause the same whole vehicle model to generate simulation results with larger differences.
In the CAE analysis of the whole vehicle collision, the accuracy of modeling the kinematic pair seriously influences the motion form of the whole vehicle and the finite element analysis result; however, the types and the number of the finished automobile kinematic pairs are large, the modeling period is long, the modeling steps are complicated, errors are easy to occur, the modeling method is not uniform, and the consistency of simulation results is poor.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a CAE (computer aided engineering) automatic modeling method, a CAE automatic modeling system, a terminal and a storage medium of a kinematic pair, which realize the CAE modeling automation of the kinematic pair, accurately solve the characteristic points of the kinematic pair through an analytical equation, greatly improve the modeling efficiency and precision and shorten the product development period.
The technical scheme of the invention is as follows:
according to a first aspect of the embodiments of the present invention, there is provided a CAE automation modeling method for a kinematic pair, including:
when a kinematic pair modeling request is received, acquiring a kinematic pair modeling type, a modeling node and two to-be-assembled three-dimensional finite element models in the kinematic pair modeling request;
determining kinematic pair modeling characteristic points through the kinematic pair modeling type, the modeling nodes and the two to-be-assembled three-dimensional finite element models;
and determining constraint conditions through the kinematic pair modeling characteristic points, and establishing kinematic pair models of the two three-dimensional finite element models through the constraint conditions and the two to-be-assembled three-dimensional finite element models.
Preferably, when a kinematic pair modeling request is received, acquiring a kinematic pair modeling type and a modeling node in the kinematic pair modeling request and two to-be-assembled three-dimensional finite element models includes:
starting a kinematic pair modeling operation when a kinematic pair modeling request is received;
obtaining a kinematic pair modeling type and a modeling node corresponding to the kinematic pair modeling request;
and acquiring two to-be-assembled three-dimensional finite element models and executing the next step.
Preferably, the obtaining of the two three-dimensional finite element models to be assembled performs the next step comprising:
acquiring two three-dimensional finite element models to be assembled;
respectively determining two material types and a database type through the two three-dimensional finite element models to be assembled;
whether the two material types are the same or not is judged through the two material types and the two database types respectively:
if yes, executing the next step;
and if not, alarming and prompting to reselect the two to-be-assembled three-dimensional finite element models.
Preferably, the determining the kinematic pair modeling feature points through the kinematic pair modeling type, the modeling nodes and the two to-be-assembled three-dimensional finite element models includes:
when the kinematic pair modeling types are revolute pairs, revolute pairs and spherical hinges, respectively determining kinematic pair modeling characteristic points of the revolute pairs, the revolute pairs and the spherical hinges through the two to-be-assembled three-dimensional finite element models and the modeling nodes, wherein the modeling nodes are as follows: the system comprises a revolute pair modeling node, a mobile pair modeling node and a spherical hinge modeling node;
and when the kinematic pair modeling type is the universal joint, respectively determining the universal joint kinematic pair modeling characteristic points through the two to-be-assembled three-dimensional finite element models.
Preferably, the determining, by the two three-dimensional finite element models to be assembled and the modeling nodes, kinematic pair modeling feature points of a revolute pair, a revolute pair and a spherical hinge respectively includes:
when the kinematic pair modeling types are a revolute pair and a moving pair, respectively determining four revolute pair modeling characteristic points and four moving pair modeling characteristic points through the revolute pair modeling node, the moving pair modeling node and two to-be-assembled three-dimensional finite element models;
and when the kinematic pair modeling type is the spherical hinge, determining two spherical hinge modeling characteristic points through the spherical hinge modeling node and two three-dimensional finite element models to be assembled.
Preferably, when the kinematic pair modeling type is a gimbal, determining the gimbal kinematic pair modeling feature points by using the two to-be-assembled three-dimensional finite element models respectively includes:
when the kinematic pair modeling type is a universal joint, respectively determining three bolt hole nodes of the universal joint through the two to-be-assembled three-dimensional finite element models;
obtaining centroid nodes of the three bolt holes of the universal joint through the nodes of the three bolt holes of the universal joint respectively;
and obtaining four universal joint modeling characteristic points through the centroid nodes of the three bolt holes of the universal joint.
According to a second aspect of the embodiments of the present invention, there is provided a CAE automation modeling system for a kinematic pair, including:
the acquisition module is used for acquiring a kinematic pair modeling type, a modeling node and two to-be-assembled three-dimensional finite element models in a kinematic pair modeling request when the kinematic pair modeling request is received;
the processing module is used for determining kinematic pair modeling characteristic points through the kinematic pair modeling type, the modeling nodes and the two to-be-assembled three-dimensional finite element models;
and the establishing module is used for determining constraint conditions through the kinematic pair modeling characteristic points and establishing kinematic pair models of the two three-dimensional finite element models through the constraint conditions and the two to-be-assembled three-dimensional finite element models.
Preferably, the processing module is configured to:
when the kinematic pair modeling types are revolute pairs, revolute pairs and spherical hinges, respectively determining kinematic pair modeling characteristic points of the revolute pairs, the revolute pairs and the spherical hinges through the two to-be-assembled three-dimensional finite element models and the modeling nodes, wherein the modeling nodes are as follows: the system comprises a revolute pair modeling node, a mobile pair modeling node and a spherical hinge modeling node;
and when the kinematic pair modeling type is the universal joint, respectively determining the universal joint kinematic pair modeling characteristic points through the two to-be-assembled three-dimensional finite element models.
According to a third aspect of the embodiments of the present invention, there is provided a terminal, including:
one or more processors;
a memory for storing the one or more processor-executable instructions;
wherein the one or more processors are configured to:
the method of the first aspect of the embodiments of the present invention is performed.
According to a fourth aspect of embodiments of the present invention, there is provided a non-transitory computer-readable storage medium, wherein instructions, when executed by a processor of a terminal, enable the terminal to perform the method of the first aspect of embodiments of the present invention.
According to a fifth aspect of embodiments of the present invention, there is provided an application program product, which, when running on a terminal, causes the terminal to perform the method of the first aspect of embodiments of the present invention.
The invention has the beneficial effects that:
compared with the prior art, the CAE automatic modeling method, the CAE automatic modeling system, the CAE automatic modeling terminal and the storage medium have the following advantages that:
the modeling precision is guaranteed, meanwhile, the working efficiency is greatly improved, and the product development period is shortened. Firstly, the technical scheme can accurately solve the characteristic points of the kinematic pair through an analytical equation and automatically establish the constraint relation between the characteristic points and related parts; secondly, according to a specific numbering rule, automatically numbering the elements such as node, rigidbody and join generated in the modeling process; finally, in the technical scheme, a mistake proofing and alarming mechanism is added in the automatic modeling process, an alarm is given to the parts which cannot establish the kinematic pair, and the automatic modeling efficiency of the complete vehicle-level kinematic pair is improved in the modeling efficiency; in the modeling precision, the coordinates of the characteristic points are accurately solved, so that errors caused by manual operation can be avoided.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention, as claimed.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a flow chart illustrating a CAE automated modeling method of a kinematic pair in accordance with an exemplary embodiment.
Fig. 2 is a flowchart illustrating modeling of a revolute pair in a CAE automated modeling method for a kinematic pair according to an exemplary embodiment.
Fig. 3 is a schematic diagram illustrating a revolute pair model in a CAE automation modeling method for a kinematic pair according to an exemplary embodiment.
Fig. 4 is a schematic diagram illustrating a mobile pair model in a CAE automation modeling method for a kinematic pair according to an exemplary embodiment.
Fig. 5 is a schematic diagram illustrating a spherical hinge model in a CAE automation modeling method for a kinematic pair according to an exemplary embodiment.
FIG. 6 is a schematic diagram illustrating a gimbal model in a CAE automated modeling method for a kinematic pair according to an exemplary embodiment.
FIG. 7 is a flow chart illustrating gimbal modeling in a CAE automated modeling method for a kinematic pair according to an exemplary embodiment.
FIG. 8 is a schematic diagram illustrating third gimbal modeling feature points for modeling a gimbal in a CAE automated modeling method for a kinematic pair according to an exemplary embodiment.
FIG. 9 is a schematic diagram illustrating third gimbal modeling feature points for modeling a gimbal in a CAE automated modeling method for a kinematic pair according to an exemplary embodiment.
FIG. 10 is a schematic diagram illustrating a fourth gimbal modeling feature point principle of gimbal modeling in a CAE automated modeling method for a kinematic pair according to an exemplary embodiment.
FIG. 11 is a block diagram illustrating the structural schematic of a CAE automated modeling system for a kinematic pair in accordance with an exemplary embodiment;
fig. 12 is a schematic block diagram of a terminal structure shown in accordance with an example embodiment.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
The embodiment of the invention provides a CAE (computer aided engineering) automatic modeling method for a kinematic pair, which is realized by a terminal, wherein the terminal can be a smart phone, a desktop computer or a notebook computer and the like, and the terminal at least comprises a CPU (Central processing Unit), a voice acquisition device and the like.
Example one
Fig. 1 is a flowchart illustrating a CAE automation modeling method for a kinematic pair, which is used in a terminal, according to an exemplary embodiment, the method including the steps of:
102, determining kinematic pair modeling characteristic points through the kinematic pair modeling type, modeling nodes and two to-be-assembled three-dimensional finite element models;
and 103, determining constraint conditions through the kinematic pair modeling characteristic points, and establishing kinematic pair models of two three-dimensional finite element models through the constraint conditions and the two to-be-assembled three-dimensional finite element models.
Preferably, when a kinematic pair modeling request is received, acquiring a kinematic pair modeling type and a modeling node in the kinematic pair modeling request and two to-be-assembled three-dimensional finite element models includes:
starting a kinematic pair modeling operation when a kinematic pair modeling request is received;
obtaining a kinematic pair modeling type and a modeling node corresponding to the kinematic pair modeling request;
and acquiring two to-be-assembled three-dimensional finite element models and executing the next step.
Preferably, the obtaining of the two three-dimensional finite element models to be assembled performs the next step comprising:
acquiring two three-dimensional finite element models to be assembled;
respectively determining two material types and a database type through the two three-dimensional finite element models to be assembled;
whether the two material types are the same or not is judged through the two material types and the two database types respectively:
if yes, executing the next step;
and if not, alarming and prompting to reselect the two to-be-assembled three-dimensional finite element models.
Preferably, the determining the kinematic pair modeling feature points through the kinematic pair modeling type, the modeling nodes and the two to-be-assembled three-dimensional finite element models includes:
when the kinematic pair modeling types are revolute pairs, revolute pairs and spherical hinges, respectively determining kinematic pair modeling characteristic points of the revolute pairs, the revolute pairs and the spherical hinges through the two to-be-assembled three-dimensional finite element models and the modeling nodes, wherein the modeling nodes are as follows: the system comprises a revolute pair modeling node, a mobile pair modeling node and a spherical hinge modeling node;
and when the kinematic pair modeling type is the universal joint, respectively determining the universal joint kinematic pair modeling characteristic points through the two to-be-assembled three-dimensional finite element models.
Preferably, the determining, by the two three-dimensional finite element models to be assembled and the modeling nodes, kinematic pair modeling feature points of a revolute pair, a revolute pair and a spherical hinge respectively includes:
when the kinematic pair modeling types are a revolute pair and a moving pair, respectively determining four revolute pair modeling characteristic points and four moving pair modeling characteristic points through the revolute pair modeling node, the moving pair modeling node and two to-be-assembled three-dimensional finite element models;
and when the kinematic pair modeling type is the spherical hinge, determining two spherical hinge modeling characteristic points through the spherical hinge modeling node and two three-dimensional finite element models to be assembled.
Preferably, when the kinematic pair modeling type is a gimbal, determining the gimbal kinematic pair modeling feature points by using the two to-be-assembled three-dimensional finite element models respectively includes:
when the kinematic pair modeling type is a universal joint, respectively determining three bolt hole nodes of the universal joint through the two to-be-assembled three-dimensional finite element models;
obtaining centroid nodes of the three bolt holes of the universal joint through the nodes of the three bolt holes of the universal joint respectively;
and obtaining four universal joint modeling characteristic points through the centroid nodes of the three bolt holes of the universal joint.
Example two
According to an exemplary embodiment, a CAE automation modeling method for a kinematic pair is shown, and the method is used in a terminal, and the method takes a revolute pair as an embodiment, as shown in fig. 2, and includes the following specific steps:
starting a kinematic pair modeling operation when a kinematic pair modeling request is received;
obtaining kinematic pair modeling types corresponding to the kinematic pair modeling request as revolute pairs and revolute pair modeling nodes;
acquiring two to-be-assembled three-dimensional finite element models which are respectively a first part P1 and a second part P2, and respectively determining two material types and database types through the first part P1 and the second part P2;
whether the two material types are the same or not is judged through the two material types and the database type respectively:
if yes, executing the next step;
and if not, alarming and prompting to reselect two to-be-assembled three-dimensional finite element models.
And 202, determining a revolute pair modeling characteristic point through the two to-be-assembled three-dimensional finite element models and the revolute pair modeling node.
There are four total modeling feature points of the revolute pair, and how to find the 4 points will be described in detail below, as shown in fig. 3:
establishing a first revolute pair modeling feature node n1 and a third revolute pair modeling feature node n3, wherein three implementation modes are provided: the first embodiment is that the number of the modeling nodes of the revolute pair is two, and the two modeling nodes of the revolute pair are respectively the same as the coordinate values of the modeling characteristic node n1 of the first revolute pair and the modeling characteristic node n3 of the third revolute pair; in the second embodiment, the number of the modeling nodes of the revolute pair is four, the four modeling nodes of the revolute pair are divided into two groups, and the middle points after the four modeling nodes are respectively connected are a first modeling characteristic node n1 of the revolute pair and a third modeling characteristic node n3 of the revolute pair; in the third embodiment, the revolute pair modeling nodes are any two points on two holes of the kinematic pair respectively, the solving processes of the first revolute pair modeling characteristic node n1 and the third revolute pair modeling characteristic node n3 are the same, the first revolute pair modeling characteristic node n1 is taken as an example, an array formed by all nodes on the hole where the revolute pair modeling nodes are located is obtained, the average value of coordinates of all nodes in all directions in the array is calculated in a circulating mode and is assigned to a variable, and the centroid of the hole where the revolute pair modeling characteristic node n1 is located is established.
And establishing a second revolute pair modeling feature node n2 and a fourth revolute pair modeling feature node n4, wherein the coordinate values of the second revolute pair modeling feature node n2 and the first revolute pair modeling feature node n1 are the same, and the coordinate values of the fourth revolute pair modeling feature node n4 and the third revolute pair modeling feature node n3 are the same.
And 203, determining a revolute pair constraint condition through the revolute pair modeling characteristic points, and establishing a revolute pair model of two three-dimensional finite element models through the revolute pair constraint condition and the two to-be-assembled three-dimensional finite element models.
Establishing a first revolute pair node set s1, adding a first revolute pair modeling feature node n1 and a third revolute pair modeling feature node n3 to the first revolute pair node set s1, establishing a first revolute pair constraint en1 between the first component P1 and the first revolute pair node set s 1;
establishing a second revolute pair node set s2, adding a second revolute pair modeling feature node n2 and a fourth revolute pair modeling feature node n4 to the second revolute pair node set s2, and establishing a second revolute pair constraint en2 between the second component P2 and the second revolute pair node set s 2;
the first component P1 and the second component P2 respectively establish revolute pairs according to a first revolute pair constraint en1 and a second revolute pair constraint en2, and store a first revolute pair node set s1, a second revolute pair node set s2, a first revolute pair constraint en1 and a second revolute pair constraint en2 into a database for direct calling at the next time.
EXAMPLE III
According to an exemplary embodiment, the method is applied to a terminal, and the method takes a sliding pair as an embodiment, as shown in fig. 4, since the number of constraints introduced by each sliding pair and sliding pair is the same in a planar low-pair mechanism, the modeling method of the sliding pair and the modeling method of the sliding pair have the same steps except that the positions of the modeling feature points of the sliding pair in the above steps are different, and thus, the description is omitted.
Example four
According to an exemplary embodiment, the method is applied to a terminal, and the method takes a spherical hinge as an embodiment, as shown in fig. 5, and the number of modeling feature points of a revolute pair is four, the modeling feature points of the spherical hinge are two and have the same position, and the solving steps are the same as the solving of the first modeling feature node n1 of the revolute pair in step 202, so the modeling method of the spherical hinge and the revolute pair has the same steps except that the modeling feature points of the kinematic pair in the steps are different in position and number, and thus, the description is omitted.
EXAMPLE five
According to an exemplary embodiment, a CAE automation modeling method for a kinematic pair is shown, and the method is used in a terminal, and the method takes a universal joint as an embodiment, as shown in fig. 7, and includes the following specific steps:
starting a kinematic pair modeling operation when a kinematic pair modeling request is received;
acquiring kinematic pair modeling types corresponding to the kinematic pair modeling request as universal joint and revolute pair modeling nodes;
acquiring two to-be-assembled three-dimensional finite element models which are respectively a first assembling component Q1 and a second assembling component Q2, and respectively determining two material types and database types through the first assembling component Q1 and the second assembling component Q2 as shown in FIG. 6;
whether the two material types are the same or not is judged through the two material types and the database type respectively:
if yes, executing the next step;
and if not, alarming and prompting to reselect two to-be-assembled three-dimensional finite element models.
any point on first bolt hole a selected in first assembling member Q1 is defined as first bolt hole node Nax, and any point on second bolt hole b and third bolt hole c selected in second assembling member Q2 is defined as second bolt hole node Nbx and third bolt hole node Ncx, respectively.
acquiring an array formed by all nodes on a first bolt hole a where a first bolt hole node Nax is located, circularly calculating an average value of coordinates of all nodes in each direction in the array and assigning the average value to variables ax, ay and az, thereby establishing a first centroid node Na;
acquiring an array consisting of all nodes on a second bolt hole b where a second bolt hole node Nbx is located, circularly calculating the average value of all direction coordinates of all nodes in the array and assigning the average value to variables bx, by and bz, thereby establishing a second center-of-shape node Nb;
and acquiring an array consisting of all nodes on the third bolt hole c where the third bolt hole node Ncx is located, circularly calculating the average value of all the nodes in the array in all directions of coordinates, and assigning the average value to the variables cx, cy and cz, thereby establishing the third centroid node Nc.
firstly, a first gimbal modeling feature point N1 and a second gimbal modeling feature point N2 which are in the same position are established, a first centroid node Na and a third centroid node Nc are connected to form a straight line, and the middle points of the straight line are the first gimbal modeling feature point N1 and the second gimbal modeling feature point N2.
Then, establishing a third universal joint modeling characteristic point N3, which comprises the following specific steps:
firstly, establishing a local coordinate system c _ N1 in a plane determined by a first universal joint modeling feature point N1, a first centroid node Na and a second centroid node Nb; the origin of the coordinate system is a first gimbal modeling feature point N1, the x-axis direction points to a first centroid node Na along a first gimbal modeling feature point N1, and the xy plane is determined by the first gimbal modeling feature point N1, the first centroid node Na and a second centroid node Nb.
Second, the first centroid node Na is rotated 90 ° around z of the local coordinate system c _ N1 to obtain node N3, so that equation (1) is as follows:
third, let the angle formed by the line segment N1Na and the line segment N1Nb be α, and the angle formed by the line segment N1Nb and the line segment N1N3 be β. If α ≦ 90 °, as shown in fig. 8, α + β ≦ 90 °, there is the following equation (2):
(cosα)2+(cosβ)2=1 (2)
if α >90 °, as shown in fig. 9, α — β is 90 °, the following formula (3) is also present:
(cosα)2+(cosβ)2= (3)
and because the formulas (4) and (5) are as follows:
from equations (2), (3) and (4):
and fourthly, solving the following formula (7) to obtain the coordinate value of N3.
Finally, a fourth gimbal modeling feature point N4 is established, as shown in fig. 10, and the specific steps are as follows:
the principle is that: because the first gimbal modeling feature point N1 and the second gimbal modeling feature point N2 are both midpoints of connecting lines between the first centroid node Na and the third centroid node Nc, and the connecting line between the first gimbal modeling feature point N1 and the third gimbal modeling feature point N3 is perpendicular to and equal in length to the connecting line between the first gimbal modeling feature point N1 and the first centroid node Na, the third centroid node Nc meets the requirements of the fourth gimbal modeling feature point N4, and therefore the connecting line between the first gimbal modeling feature point N1 and the third gimbal modeling feature point N3 is perpendicular to and equal in length to the connecting line between the second gimbal modeling feature point N2 and the fourth gimbal modeling feature point N4.
And 305, determining a universal joint constraint condition through the universal joint modeling characteristic points, and establishing a revolute pair model of two three-dimensional finite element models through the universal joint constraint condition and the two to-be-assembled three-dimensional finite element models.
Establishing a first gimbal node set S1, adding a first gimbal modeling feature node N1 and a third gimbal modeling feature node N3 to the first gimbal node set S1, establishing a first gimbal constraint EN1 between a first rigging component Q1 and the first gimbal node set S1;
establishing a second set of gimbal nodes S2, adding a second gimbal modeling feature node N2 and a fourth gimbal model feature node N4 to the second set of gimbal nodes S2, establishing a second gimbal constraint EN2 between the second rigging component Q2 and the second set of gimbal nodes S2;
the first assembling component Q1 and the second assembling component Q2 respectively establish a revolute pair according to a first universal joint constraint EN1 and a second universal joint constraint EN2, and store a first universal joint node set S1, a second universal joint node set S2, a first universal joint constraint EN1 and a second universal joint constraint EN2 in a database to be directly called next time.
EXAMPLE six
In an exemplary embodiment, there is also provided a CAE automation modeling system of a kinematic pair, as shown in fig. 11, the design system including:
the obtaining module 410 is configured to obtain a kinematic pair modeling type and a modeling node in a kinematic pair modeling request and two to-be-assembled three-dimensional finite element models when the kinematic pair modeling request is received;
the processing module 420 is used for determining kinematic pair modeling characteristic points through the kinematic pair modeling type, the modeling nodes and the two to-be-assembled three-dimensional finite element models;
and the establishing module 430 is configured to determine a constraint condition through the kinematic pair modeling feature points, and establish a kinematic pair model of two three-dimensional finite element models with two to-be-assembled three-dimensional finite element models through the constraint condition.
Preferably, the processing module 420 is configured to:
when the kinematic pair modeling types are revolute pairs, revolute pairs and spherical hinges, respectively determining kinematic pair modeling characteristic points of the revolute pairs, the revolute pairs and the spherical hinges through the two to-be-assembled three-dimensional finite element models and the modeling nodes, wherein the modeling nodes are as follows: the system comprises a revolute pair modeling node, a mobile pair modeling node and a spherical hinge modeling node;
and when the kinematic pair modeling type is the universal joint, respectively determining the universal joint kinematic pair modeling characteristic points through the two to-be-assembled three-dimensional finite element models.
The invention greatly improves the working efficiency and shortens the product development period while ensuring the modeling precision. Firstly, the technical scheme can accurately solve the characteristic points of the kinematic pair through an analytical equation and automatically establish the constraint relation between the characteristic points and related parts; secondly, according to a specific numbering rule, automatically numbering the elements such as node, rigidbody and join generated in the modeling process; finally, in the technical scheme, a mistake proofing and alarming mechanism is added in the automatic modeling process, an alarm is given to the parts which cannot establish the kinematic pair, and the automatic modeling efficiency of the complete vehicle-level kinematic pair is improved in the modeling efficiency; in the modeling precision, the coordinates of the characteristic points are accurately solved, so that errors caused by manual operation can be avoided.
EXAMPLE seven
Fig. 12 is a block diagram of a terminal according to an embodiment of the present application, where the terminal may be the terminal in the foregoing embodiment. The terminal 500 may be a portable mobile terminal such as: smart phones, tablet computers. The terminal 500 may also be referred to by other names such as user equipment, portable terminal, etc.
In general, the terminal 500 includes: a processor 501 and a memory 502.
The processor 501 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and so on. The processor 501 may be implemented in at least one hardware form of a DSP (Digital Signal Processing), an FPGA (Field-Programmable Gate Array), and a PLA (Programmable Logic Array). The processor 501 may also include a main processor and a coprocessor, where the main processor is a processor for Processing data in an awake state, and is also called a Central Processing Unit (CPU); a coprocessor is a low power processor for processing data in a standby state. In some embodiments, the processor 501 may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content required to be displayed on the display screen. In some embodiments, processor 501 may also include an AI (Artificial Intelligence) processor for processing computational operations related to machine learning.
In some embodiments, the terminal 500 may further optionally include: a peripheral interface 503 and at least one peripheral. Specifically, the peripheral device includes: at least one of radio frequency circuitry 504, touch screen display 505, camera 506, audio circuitry 507, positioning components 508, and power supply 509.
The peripheral interface 503 may be used to connect at least one peripheral related to I/O (Input/Output) to the processor 501 and the memory 502. In some embodiments, the processor 501, memory 502, and peripheral interface 503 are integrated on the same chip or circuit board; in some other embodiments, any one or two of the processor 501, the memory 502, and the peripheral interface 503 may be implemented on a separate chip or circuit board, which is not limited in this embodiment.
The Radio Frequency circuit 504 is used for receiving and transmitting RF (Radio Frequency) signals, also called electromagnetic signals. The radio frequency circuitry 504 communicates with communication networks and other communication devices via electromagnetic signals. The rf circuit 504 converts an electrical signal into an electromagnetic signal to transmit, or converts a received electromagnetic signal into an electrical signal. Optionally, the radio frequency circuit 504 includes: an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, a subscriber identity module card, and so forth. The radio frequency circuitry 504 may communicate with other terminals via at least one wireless communication protocol. The wireless communication protocols include, but are not limited to: the world wide web, metropolitan area networks, intranets, generations of mobile communication networks (2G, 3G, 4G, and 5G), Wireless local area networks, and/or WiFi (Wireless Fidelity) networks. In some embodiments, the rf circuit 504 may further include NFC (Near Field Communication) related circuits, which are not limited in this application.
The touch display screen 505 is used to display a UI (User Interface). The UI may include graphics, text, icons, video, and any combination thereof. The touch display screen 505 also has the ability to capture touch signals on or over the surface of the touch display screen 505. The touch signal may be input to the processor 501 as a control signal for processing. The touch screen display 505 is used to provide virtual buttons and/or a virtual keyboard, also referred to as soft buttons and/or a soft keyboard. In some embodiments, the touch display screen 505 may be one, providing the front panel of the terminal 500; in other embodiments, the touch display 505 can be at least two, respectively disposed on different surfaces of the terminal 500 or in a folded design; in still other embodiments, the touch display 505 may be a flexible display disposed on a curved surface or on a folded surface of the terminal 500. Even more, the touch display screen 505 can be arranged in a non-rectangular irregular figure, i.e., a shaped screen. The touch screen 505 can be made of LCD (Liquid Crystal Display), OLED (Organic Light-Emitting Diode), and the like.
The camera assembly 506 is used to capture images or video. Optionally, camera assembly 506 includes a front camera and a rear camera. Generally, a front camera is used for realizing video call or self-shooting, and a rear camera is used for realizing shooting of pictures or videos. In some embodiments, the number of the rear cameras is at least two, and each of the rear cameras is any one of a main camera, a depth-of-field camera and a wide-angle camera, so that the main camera and the depth-of-field camera are fused to realize a background blurring function, and the main camera and the wide-angle camera are fused to realize a panoramic shooting function and a VR (Virtual Reality) shooting function. In some embodiments, camera assembly 506 may also include a flash. The flash lamp can be a monochrome temperature flash lamp or a bicolor temperature flash lamp. The double-color-temperature flash lamp is a combination of a warm-light flash lamp and a cold-light flash lamp, and can be used for light compensation at different color temperatures.
The positioning component 508 is used for positioning the current geographic Location of the terminal 500 for navigation or LBS (Location Based Service). The Positioning component 508 may be a Positioning component based on the Global Positioning System (GPS) in the united states, the beidou System in china, or the galileo System in russia.
In some embodiments, terminal 500 also includes one or more sensors 510. The one or more sensors 510 include, but are not limited to: acceleration sensor 511, gyro sensor 512, pressure sensor 513, fingerprint sensor 514, optical sensor 515, and proximity sensor 516.
The acceleration sensor 511 may detect the magnitude of acceleration on three coordinate axes of the coordinate system established with the terminal 500. For example, the acceleration sensor 511 may be used to detect components of the gravitational acceleration in three coordinate axes. The processor 501 may control the touch screen 505 to display the user interface in a landscape view or a portrait view according to the gravitational acceleration signal collected by the acceleration sensor 511. The acceleration sensor 511 may also be used for acquisition of motion data of a game or a user.
The gyro sensor 512 may detect a body direction and a rotation angle of the terminal 500, and the gyro sensor 512 may cooperate with the acceleration sensor 511 to acquire a 3D (3Dimensions, three-dimensional) motion of the user with respect to the terminal 500. The processor 501 may implement the following functions according to the data collected by the gyro sensor 512: motion sensing (such as changing the UI according to a user's tilting operation), image stabilization at the time of photographing, game control, and inertial navigation.
The pressure sensor 513 may be disposed on a side bezel of the terminal 500 and/or an underlying layer of the touch display screen 505. When the pressure sensor 513 is disposed at the side frame of the terminal 500, a user's grip signal to the terminal 500 may be detected, and left-right hand recognition or shortcut operation may be performed according to the grip signal. When the pressure sensor 513 is disposed at the lower layer of the touch display screen 505, it is possible to control the operability control on the UI interface according to the pressure operation of the user on the touch display screen 505. The operability control comprises at least one of a button control, a scroll bar control, an icon control and a menu control.
The fingerprint sensor 514 is used for collecting a fingerprint of the user to identify the identity of the user according to the collected fingerprint. Upon recognizing that the user's identity is a trusted identity, the processor 501 authorizes the user to perform relevant sensitive operations including unlocking the screen, viewing encrypted information, downloading software, paying, and changing settings, etc. The fingerprint sensor 514 may be provided on the front, back, or side of the terminal 500. When a physical button or a vendor Logo is provided on the terminal 500, the fingerprint sensor 514 may be integrated with the physical button or the vendor Logo.
The optical sensor 515 is used to collect the ambient light intensity. In one embodiment, the processor 501 may control the display brightness of the touch display screen 505 based on the ambient light intensity collected by the optical sensor 515. Specifically, when the ambient light intensity is high, the display brightness of the touch display screen 505 is increased; when the ambient light intensity is low, the display brightness of the touch display screen 505 is turned down. In another embodiment, processor 501 may also dynamically adjust the shooting parameters of camera head assembly 506 based on the ambient light intensity collected by optical sensor 515.
A proximity sensor 516, also known as a distance sensor, is typically disposed on the front face of the terminal 500. The proximity sensor 516 is used to collect the distance between the user and the front surface of the terminal 500. In one embodiment, when the proximity sensor 516 detects that the distance between the user and the front surface of the terminal 500 gradually decreases, the processor 501 controls the touch display screen 505 to switch from the bright screen state to the dark screen state; when the proximity sensor 516 detects that the distance between the user and the front surface of the terminal 500 becomes gradually larger, the processor 501 controls the touch display screen 505 to switch from the screen-rest state to the screen-on state.
Those skilled in the art will appreciate that the configuration shown in fig. 12 is not intended to be limiting of terminal 500 and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components may be used.
Example eight
In an exemplary embodiment, a computer-readable storage medium is further provided, on which a computer program is stored, which when executed by a processor, implements a CAE automation modeling method for a kinematic pair as provided in all inventive embodiments of the present application.
Any combination of one or more computer-readable media may be employed. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
Example nine
In an exemplary embodiment, an application program product is also provided, which includes one or more instructions executable by the processor 501 of the apparatus to perform the CAE automation modeling method for a kinematic pair described above.
While embodiments of the invention have been disclosed above, it is not intended to be limited to the uses set forth in the specification and examples. It can be applied to all kinds of fields suitable for the present invention. Additional modifications will readily occur to those skilled in the art. It is therefore intended that the invention not be limited to the exact details and illustrations described and illustrated herein, but fall within the scope of the appended claims and equivalents thereof.
Claims (10)
1. A CAE automatic modeling method of a kinematic pair is characterized by comprising the following steps:
when a kinematic pair modeling request is received, acquiring a kinematic pair modeling type, a modeling node and two to-be-assembled three-dimensional finite element models in the kinematic pair modeling request;
determining kinematic pair modeling characteristic points through the kinematic pair modeling type, the modeling nodes and the two to-be-assembled three-dimensional finite element models;
and determining constraint conditions through the kinematic pair modeling characteristic points, and establishing kinematic pair models of the two three-dimensional finite element models through the constraint conditions and the two to-be-assembled three-dimensional finite element models.
2. The CAE (computer aided engineering) automatic modeling method for the kinematic pair according to claim 1, wherein the obtaining of the kinematic pair modeling type and modeling nodes and the two to-be-assembled three-dimensional finite element models in the kinematic pair modeling request when the kinematic pair modeling request is received comprises:
starting a kinematic pair modeling operation when a kinematic pair modeling request is received;
obtaining a kinematic pair modeling type and a modeling node corresponding to the kinematic pair modeling request;
and acquiring two to-be-assembled three-dimensional finite element models and executing the next step.
3. The CAE (computer aided engineering) automatic modeling method for the kinematic pair according to claim 2, wherein the obtaining of the two three-dimensional finite element models to be assembled performs the next step comprising:
acquiring two three-dimensional finite element models to be assembled;
respectively determining two material types and a database type through the two three-dimensional finite element models to be assembled;
whether the two material types are the same or not is judged through the two material types and the two database types respectively:
if yes, executing the next step;
and if not, alarming and prompting to reselect the two to-be-assembled three-dimensional finite element models.
4. The CAE (computer aided engineering) automatic modeling method for the kinematic pair according to claim 1, wherein the determining kinematic pair modeling feature points through the kinematic pair modeling type, modeling nodes and two to-be-assembled three-dimensional finite element models comprises:
when the kinematic pair modeling types are revolute pairs, revolute pairs and spherical hinges, respectively determining kinematic pair modeling characteristic points of the revolute pairs, the revolute pairs and the spherical hinges through the two to-be-assembled three-dimensional finite element models and the modeling nodes, wherein the modeling nodes are as follows: the system comprises a revolute pair modeling node, a mobile pair modeling node and a spherical hinge modeling node;
and when the kinematic pair modeling type is the universal joint, respectively determining the universal joint kinematic pair modeling characteristic points through the two to-be-assembled three-dimensional finite element models.
5. The CAE (computer aided engineering) automatic modeling method for the kinematic pair according to claim 4, wherein the kinematic pair modeling feature points of the revolute pair, the revolute pair and the spherical hinge are respectively determined through two three-dimensional finite element models to be assembled and modeling nodes, and the method comprises the following steps:
when the kinematic pair modeling types are a revolute pair and a moving pair, respectively determining four revolute pair modeling characteristic points and four moving pair modeling characteristic points through the revolute pair modeling node, the moving pair modeling node and two to-be-assembled three-dimensional finite element models;
and when the kinematic pair modeling type is the spherical hinge, determining two spherical hinge modeling characteristic points through the spherical hinge modeling node and two three-dimensional finite element models to be assembled.
6. The CAE (computer aided engineering) automatic modeling method for the kinematic pair according to claim 5, wherein when the kinematic pair modeling type is a universal joint, the method for respectively determining the universal joint kinematic pair modeling characteristic points through two three-dimensional finite element models to be assembled comprises the following steps:
when the kinematic pair modeling type is a universal joint, respectively determining three bolt hole nodes of the universal joint through the two to-be-assembled three-dimensional finite element models;
obtaining centroid nodes of the three bolt holes of the universal joint through the nodes of the three bolt holes of the universal joint respectively;
and obtaining four universal joint modeling characteristic points through the centroid nodes of the three bolt holes of the universal joint.
7. A CAE automated modeling system for kinematic pairs, comprising:
the acquisition module is used for acquiring a kinematic pair modeling type, a modeling node and two to-be-assembled three-dimensional finite element models in a kinematic pair modeling request when the kinematic pair modeling request is received;
the processing module is used for determining kinematic pair modeling characteristic points through the kinematic pair modeling type, the modeling nodes and the two to-be-assembled three-dimensional finite element models;
and the establishing module is used for determining constraint conditions through the kinematic pair modeling characteristic points and establishing kinematic pair models of the two three-dimensional finite element models through the constraint conditions and the two to-be-assembled three-dimensional finite element models.
8. The CAE automated modeling system of kinematic pairs of claim 7, wherein the processing module is configured to:
when the kinematic pair modeling types are revolute pairs, revolute pairs and spherical hinges, respectively determining kinematic pair modeling characteristic points of the revolute pairs, the revolute pairs and the spherical hinges through the two to-be-assembled three-dimensional finite element models and the modeling nodes, wherein the modeling nodes are as follows: the system comprises a revolute pair modeling node, a mobile pair modeling node and a spherical hinge modeling node;
and when the kinematic pair modeling type is the universal joint, respectively determining the universal joint kinematic pair modeling characteristic points through the two to-be-assembled three-dimensional finite element models.
9. A terminal, comprising:
one or more processors;
a memory for storing the one or more processor-executable instructions;
wherein the one or more processors are configured to:
a CAE automated modeling method of a kinematic pair according to any of claims 1 to 6.
10. A non-transitory computer-readable storage medium, wherein instructions in the storage medium, when executed by a processor of a terminal, enable the terminal to perform a CAE automation modeling method for a kinematic pair as claimed in any of claims 1 to 6.
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WO2024060141A1 (en) * | 2022-09-22 | 2024-03-28 | 宁德时代新能源科技股份有限公司 | Method and device for modifying parameter of kinematic pair, and production line system |
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WO2024060141A1 (en) * | 2022-09-22 | 2024-03-28 | 宁德时代新能源科技股份有限公司 | Method and device for modifying parameter of kinematic pair, and production line system |
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