CN115221624A - Method and device for designing cast aluminum rear floor structure, terminal and storage medium - Google Patents

Method and device for designing cast aluminum rear floor structure, terminal and storage medium Download PDF

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CN115221624A
CN115221624A CN202210721609.2A CN202210721609A CN115221624A CN 115221624 A CN115221624 A CN 115221624A CN 202210721609 A CN202210721609 A CN 202210721609A CN 115221624 A CN115221624 A CN 115221624A
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cast
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reinforcing ribs
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孙立伟
于保君
何洪军
王宁
马明辉
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FAW Group Corp
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Abstract

The invention belongs to the technical field of automobiles, and particularly relates to a method and a device for designing a cast aluminum rear floor structure, a terminal and a storage medium. According to the invention, when the vehicle body is twisted, the displacement of the connection point of the cast aluminum floor and the vehicle body metal plate is extracted, then the displacement is loaded on the cast aluminum floor and topological optimization is carried out, the consistency of the topological optimization analysis result and the vehicle body torsional rigidity working condition analysis result is higher under the working condition, the calculation period can be shortened, and the optimization efficiency is greatly improved. And aiming at the topological optimization analysis result, a parameterization optimization technology is provided, the topological result is analyzed, the sizes and the number of reinforcing ribs and reinforcing ribs are required to be increased in optimization, the topological optimization analysis time is shortened, and the topological optimization analysis efficiency is greatly improved.

Description

Method and device for designing cast aluminum rear floor structure, terminal and storage medium
Technical Field
The invention belongs to the technical field of automobiles, and particularly relates to a method and a device for designing a cast aluminum rear floor structure, a terminal and a storage medium.
Background
With the increasing demand for light weight of automobiles, the application of automobiles in cast aluminum structures is increasing. In the prior art, structural design and light weight are only carried out on small structures such as a cast aluminum front-hanging fixed seat, a cast aluminum support and the like according to topological optimization results, and a design method for a large cast aluminum structure such as a cast aluminum rear floor is not involved.
Disclosure of Invention
The invention provides a method, a device, a terminal and a storage medium for designing a floor structure after aluminum casting, which are used for extracting displacement from a connection point of a metal plate of a floor and a vehicle body when the vehicle body is twisted, then loading the displacement onto the floor and carrying out topological optimization. And aiming at the topological optimization analysis result, the invention provides a parameterization optimization technology, analyzes the topological result, optimizes the sizes and the number of reinforcing ribs and reinforcing ribs, reduces the topological optimization analysis time and greatly improves the topological optimization analysis efficiency.
The technical scheme of the invention is described as follows by combining the attached drawings:
according to a first aspect of the embodiments of the present invention, there is provided a method for designing a cast aluminum rear floor structure, including the steps of:
step one, building a finite element model of the cast aluminum floor, analyzing the torsional rigidity of the white automobile body, and extracting the displacement of the cast aluminum floor and a metal plate connecting point based on the torsional rigidity analysis result of the white automobile body;
step two, taking the displacement of the connecting point of the floor and the metal plate after aluminum casting in the step one as a boundary condition of topological optimization, and carrying out topological optimization on the floor after aluminum casting;
step three, comparing whether the body-in-white topological optimization result is consistent with the topological optimization result in the step two;
analyzing a topological optimization result, and carrying out parametric modeling on the reinforcing ribs and the reinforcing ribs on the basis of parametric modeling software;
step five, parameterization optimization of the reinforcing ribs is carried out, and the positions, the sizes and the number of the reinforcing ribs and the reinforcing ribs are optimized;
and sixthly, performing performance retesting on the final optimization scheme.
Further, in the first step, the aluminum-cast rear floor is modeled by using tetrahedral units, wherein the minimum grid size of the rear floor is 6mm.
Further, in the first step, the connecting points of the floor and the metal plate after aluminum casting are numbered again, and set is established.
Further, the load working condition for performing topology optimization processing on the cast aluminum floor in the second step is displacement based on the analysis result of the torsional rigidity of the vehicle body, and the target is that the flexibility is lowest based on the working condition, and the topology optimization analysis is performed by taking only 30% of the volume as the target.
Further, the specific method of the fourth step is as follows:
41 The outer surfaces of the reinforcing ribs and the reinforcing ribs are built by using parameterized modeling software, then tetrahedral units are generated by Hypermesh software, and the coupling of the cast aluminum floor and the metal plate joint is realized by rigid units;
42 Based on the built parameterized model, the position is controlled by controlling a base point baseline, the size of the reinforcing rib is controlled by controlling the section of the reinforcing rib, and the correct connection relation is ensured, so that a sample space is generated and parameterized optimization is carried out;
43 A matrix of variables is determined from the ranges of the variables and the parameterized model is driven to vary according to the matrix of variables and a corresponding finite element model is generated.
Further, when the parameterized models of the reinforcing ribs and the reinforcing ribs are established in 43), corresponding position variables and section variables are recorded, and the ranges of the corresponding variables are determined simultaneously.
Further, the specific method of the fifth step is as follows:
51 According to the variables of the parameter model established in the fourth step and the corresponding variable ranges, determining a variable matrix corresponding to each sample according to a Latin hypercube algorithm;
52 Driving parameterization software to carry out network division according to the variable matrix, coupling the parameterization model with the finite element model, generating a required sample space, and analyzing the torsional rigidity performance of the sample space;
53 ) then a second-order polynomial proxy model is constructed using the response surface method as follows:
Figure BDA0003699215520000031
in the formula: y is the torsional rigidity performance of the vehicle body; beta is a 0 ,β i ,β ii ,β ij Is an unknown parameter; x is a radical of a fluorine atom i Is the ith variable; epsilon is the error;
54 Taking an adjustment coefficient R 2 Evaluating the fitting precision of the proxy model, and adjusting a coefficient formula as follows: when the adjustment coefficient is larger than 0.9, the precision of the proxy model meets the condition;
Figure BDA0003699215520000032
in the formula, n is the number of the test sample points; yi is a simulated value of the ith response;
Figure BDA0003699215520000033
approximate model prediction for ith and response;
Figure BDA0003699215520000034
is the average value of the simulation values;
55 Based on the proxy model, seeking a reinforcing rib variable combination capable of maximally improving various performances; the optimization model is constructed as follows:
Find y(x 1 ,x 2 ,…,x n )
MAX{K T (x),f T (x)}
in the formula: y (x) 1 ,x 2 ,…,x n ) Is a proxy model; x is a radical of a fluorine atom 1 ,x 2 ,…,x n Is a variable; k is T (x)、f T (x) Respectively, the torsional rigidity and the first-order torsional frequency are subjected to optimization analysis by adopting a self-adaptive simulated annealing method.
According to a second aspect of the embodiments of the present invention, there is provided a cast aluminum rear floor structure design device, including:
the first model creating module is used for building a finite element model of the cast aluminum rear floor, analyzing the torsional rigidity of the white automobile body and extracting the displacement of the cast aluminum rear floor and the metal plate connecting point based on the torsional rigidity analysis result of the white automobile body;
the topology optimization module is used for taking the displacement of the connection point between the cast-aluminum floor and the metal plate as a boundary condition of topology optimization and carrying out topology optimization on the cast-aluminum floor;
the comparison module is used for comparing whether the body-in-white topological optimization result is consistent with the topological optimization result in the second step;
the second model creating module is used for analyzing the topological optimization result and carrying out parametric modeling on the reinforcing ribs and the reinforcing ribs on the basis of parametric modeling software;
the optimization module is used for optimizing the parameterization of the reinforcing ribs and optimizing the positions, sizes and quantity of the reinforcing ribs and the reinforcing ribs;
and the review module is used for performing performance review on the final optimization scheme.
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:
1) The invention defines a working condition of topology optimization analysis, the analysis result based on the working condition is consistent with the analysis result based on the torsion working condition of the whole vehicle, and the working condition can reduce the time of the topology optimization analysis and greatly improve the efficiency of the topology optimization analysis;
2) The invention provides a method for analyzing and carrying out parameterized optimization on a topological result based on a parameterized optimization technology, which can better analyze the topological optimization result and achieve better performance.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 is a schematic flow chart of a method for designing a cast aluminum floor structure according to the present invention;
FIG. 2 is a schematic structural diagram of a structural design device for a floor after aluminum casting according to the present invention;
fig. 3 is a schematic block diagram of a terminal structure.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not to be construed as limiting the invention. It should be further noted that, for the convenience of description, only some structures related to the present invention are shown in the drawings, not all of them.
Example one
Fig. 1 is a method for designing a cast aluminum rear floor structure according to an embodiment of the present invention, where this embodiment is applicable to a case of designing a cast aluminum rear floor structure, and the method can be executed by a cast aluminum rear floor structure apparatus according to an embodiment of the present invention, and the apparatus can be implemented in a software and/or hardware manner.
Step one, building a finite element model of the cast aluminum floor, analyzing the torsional rigidity of the white automobile body, and extracting the displacement of the cast aluminum floor and the metal plate connecting point based on the torsional rigidity analysis result of the white automobile body.
In order to improve the efficiency of topology optimization, the minimum size of the floor grid is 6mm (except for the wall thickness), the detailed structures such as chamfers and the like are omitted, and tetrahedral unit modeling is adopted.
And (4) renumbering the connecting points of the floor and the metal plate after aluminum casting, and establishing set.
Based on the torsional rigidity result, the displacement of the connecting position of the cast aluminum floor and the metal plate of the vehicle body is extracted (node set can be established for conveniently extracting the node displacement), and input is provided for subsequent topological optimization of the cast aluminum floor.
Step two, taking the displacement of the connecting point of the floor and the metal plate after aluminum casting in the step one as a boundary condition of topological optimization, and carrying out topological optimization on the floor after aluminum casting;
the load working condition for carrying out topology optimization processing on the cast aluminum floor is displacement based on the analysis result of the torsional rigidity of the vehicle body, the target is based on that the flexibility is lowest under the working condition, and the topology optimization analysis is carried out by taking only 30% of the volume as the target.
Step three, comparing whether the body-in-white topological optimization result is consistent with the topological optimization result in the step two;
in order to prove that the topological optimization result under the working condition provided by the invention is consistent with the topological optimization analysis result based on the torsion working condition of the whole automobile, the topological optimization results under the two working conditions need to be compared, and repeated comparison is not needed when the cast aluminum floor is developed subsequently. Therefore, the topology optimization analysis can be independently carried out on the bottom plate, the calculation time can be greatly reduced, and the analysis and optimization efficiency is improved.
Analyzing a topological optimization result, and carrying out parametric modeling on the reinforcing ribs and the reinforcing ribs on the basis of parametric modeling software;
the specific method comprises the following steps:
41 The outer surfaces of the reinforcing ribs and the reinforcing ribs are built by using parameterized modeling software, then tetrahedral units are generated by Hypermesh software, and the coupling of the cast aluminum floor and the metal plate joint is realized by rigid units;
42 Based on the built parameterized model, the position is controlled by controlling a base point baseline, the size of the reinforcing rib is controlled by controlling the section of the reinforcing rib, and the correct connection relation is ensured, so that a sample space is generated and parameterized optimization is carried out; the sample space is according to the latin hypercube method.
43 A matrix of variables is determined from the ranges of the variables and the parameterized model is driven to vary according to the matrix of variables and a corresponding finite element model is generated.
And 43) inputting corresponding position variables and section variables and simultaneously determining the range of the corresponding variables when establishing parameterized models of the reinforcing ribs and the reinforcing ribs.
Step five, parameterization optimization of the reinforcing ribs is carried out, and the positions, the sizes and the number of the reinforcing ribs and the reinforcing ribs are optimized;
the specific method comprises the following steps:
51 According to the variables of the parameter model established in the fourth step and the corresponding variable ranges, determining a variable matrix corresponding to each sample according to a Latin hypercube algorithm;
52 According to the variable matrix, driving parameterized software to divide the network, coupling the parameterized model and the finite element model, generating a required sample space, and analyzing the torsional rigidity performance of the sample space;
53 ) then a second-order polynomial proxy model is constructed using the response surface method as follows:
Figure BDA0003699215520000081
in the formula: y is the torsional rigidity performance of the vehicle body; beta is a 0 ,β i ,β ii ,β ij Is an unknown parameter; x is the number of i Is the ith variable; epsilon is the error;
54 ) takeAdjustment coefficient R 2 Evaluating the fitting precision of the proxy model, and adjusting a coefficient formula as follows: when the adjustment coefficient is larger than 0.9, the precision of the proxy model meets the condition;
Figure BDA0003699215520000082
in the formula, n is the number of the test sample points; yi is a simulated value of the ith response;
Figure BDA0003699215520000083
approximate model prediction for ith and response;
Figure BDA0003699215520000084
is the average value of the simulation values; the proxy model error accuracy is shown in table 1.
Table 1 proxy model error accuracy
Proxy model object R-Squared≥0.9
Quality of 0.99
Torsional rigidity 0.99
Mode of operation 0.98
55 Based on the proxy model, seeking a reinforcing rib variable combination capable of maximally improving various performances; the optimization model is constructed as follows:
Find y(x 1 ,x 2 ,…,x n )
MAX{K T (x),f T (x)}
in the formula: y (x) 1 ,x 2 ,…,x n ) Is a proxy model; x is the number of 1 ,x 2 ,…,x n Is a variable; k is T (x)、f T (x) Respectively, the torsional rigidity and the first-order torsional frequency are subjected to optimization analysis by adopting a self-adaptive simulated annealing method.
And sixthly, performing performance retest on the final optimization scheme.
And verifying whether the torsional rigidity performance of the vehicle body is improved when the optimized cast aluminum floor structure is connected to the vehicle body, and comparing whether the weight of the cast aluminum floor is reduced.
Example two
Referring to fig. 2, an embodiment of the present invention provides a device for designing a cast aluminum rear floor structure, including:
the first model creating module is used for creating a finite element model of the cast aluminum rear floor, analyzing the torsional rigidity of the white body and extracting the displacement of the cast aluminum rear floor and the metal plate connecting point based on the torsional rigidity analysis result of the white body;
the topology optimization module is used for taking the displacement of the connection point of the cast-aluminum floor and the metal plate as a boundary condition of topology optimization and carrying out topology optimization on the cast-aluminum floor;
the comparison module is used for comparing whether the body-in-white topological optimization result is consistent with the topological optimization result in the second step;
the second model creating module is used for analyzing the topological optimization result and carrying out parametric modeling on the reinforcing ribs and the reinforcing ribs on the basis of parametric modeling software;
the optimization module is used for optimizing the parameterization of the reinforcing ribs and optimizing the positions, sizes and number of the reinforcing ribs and the reinforcing ribs;
and the review module is used for performing performance review on the final optimization scheme.
EXAMPLE III
Fig. 3 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 300 may be a portable mobile terminal such as: smart phones, tablet computers. The terminal 300 may also be referred to by other names such as user equipment, portable terminal, etc.
In general, the terminal 300 includes: a processor 301 and a memory 302.
The processor 301 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and so on. The processor 301 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 301 may also include a main processor and a coprocessor, where the main processor is a processor for Processing data in a wake 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 301 may be integrated with a GPU (Graphics Processing Unit) that is responsible for rendering and drawing content that the display screen needs to display. In some embodiments, the processor 301 may further include an AI (Artificial Intelligence) processor for processing computing operations related to machine learning.
Memory 302 may include one or more computer-readable storage media, which may be tangible and non-transitory. Memory 302 may also include high speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In some embodiments, a non-transitory computer readable storage medium in memory 302 is used to store at least one instruction for execution by processor 301 to implement a cast aluminum rear floor structure design method provided herein.
In some embodiments, the terminal 300 may further include: a peripheral interface 303 and at least one peripheral. Specifically, the peripheral device includes: at least one of radio frequency circuitry 304, touch display screen 305, camera 306, audio circuitry 307, positioning components 308, and power supply 309.
The peripheral interface 303 may be used to connect at least one peripheral related to I/O (Input/Output) to the processor 301 and the memory 302. In some embodiments, the processor 301, memory 302, and peripheral interface 303 are integrated on the same chip or circuit board; in some other embodiments, any one or two of the processor 301, the memory 302 and the peripheral interface 303 may be implemented on a separate chip or circuit board, which is not limited by the embodiment.
The Radio Frequency circuit 304 is used for receiving and transmitting RF (Radio Frequency) signals, also called electromagnetic signals. The radio frequency circuitry 304 communicates with a communication network and other communication devices via electromagnetic signals. The rf circuit 304 converts the electrical signal into an electromagnetic signal for transmission, or converts the received electromagnetic signal into an electrical signal. Optionally, the radio frequency circuit 304 comprises: 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 304 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 304 may further include NFC (Near Field Communication) related circuits, which are not limited in this application.
The touch display screen 305 is used to display a UI (User Interface). The UI may include graphics, text, icons, video, and any combination thereof. Touch display screen 305 also has the ability to capture touch signals on or over the surface of touch display screen 305. The touch signal may be input to the processor 301 as a control signal for processing. The touch screen display 305 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 305 may be one, providing the front panel of the terminal 300; in other embodiments, the touch display screen 305 may be at least two, respectively disposed on different surfaces of the terminal 300 or in a folded design; in still other embodiments, the touch display 305 may be a flexible display disposed on a curved surface or on a folded surface of the terminal 300. Even more, the touch display screen 305 may be arranged in a non-rectangular irregular figure, i.e. a shaped screen. The touch Display screen 305 may be made of LCD (Liquid Crystal Display), OLED (Organic Light-Emitting Diode), and the like.
The camera assembly 306 is used to capture images or video. Optionally, the camera assembly 306 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 306 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 under different color temperatures.
Audio circuit 307 is used to provide an audio interface between the user and terminal 300. Audio circuitry 307 may include a microphone and a speaker. The microphone is used for collecting sound waves of a user and the environment, converting the sound waves into electric signals, and inputting the electric signals into the processor 301 for processing or inputting the electric signals into the radio frequency circuit 304 to realize voice communication. The microphones may be provided in plural numbers, respectively, at different portions of the terminal 300 for the purpose of stereo sound collection or noise reduction. The microphone may also be an array microphone or an omni-directional pick-up microphone. The speaker is used to convert electrical signals from the processor 301 or the radio frequency circuitry 304 into sound waves. The loudspeaker can be a traditional film loudspeaker or a piezoelectric ceramic loudspeaker. When the speaker is a piezoelectric ceramic speaker, the speaker can be used for purposes such as converting an electric signal into a sound wave audible to a human being, or converting an electric signal into a sound wave inaudible to a human being to measure a distance. In some embodiments, audio circuitry 307 may also include a headphone jack.
The positioning component 308 is used to locate the current geographic Location of the terminal 300 to implement navigation or LBS (Location Based Service). The Positioning component 308 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.
The power supply 309 is used to supply power to the various components in the terminal 300. The power source 309 may be alternating current, direct current, disposable batteries, or rechargeable batteries. When the power source 309 includes a rechargeable battery, the rechargeable battery may be a wired rechargeable battery or a wireless rechargeable battery. The wired rechargeable battery is a battery charged through a wired line, and the wireless rechargeable battery is a battery charged through a wireless coil. The rechargeable battery can also be used to support fast charge technology.
Those skilled in the art will appreciate that the configuration shown in fig. 3 is not intended to be limiting of terminal 300 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 four
In an exemplary embodiment, there is also provided a computer readable storage medium, on which a computer program is stored, which when executed by a processor, implements a method of designing a cast aluminum rear floor structure 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 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 five
In an exemplary embodiment, an application program product is also provided, which includes one or more instructions executable by the processor 301 of the apparatus to perform a method of designing a cast aluminum rear floor structure as described above.
While embodiments of the invention have been disclosed above, it is not intended to be limited to the applications set forth in the specification and the 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. Therefore, the invention is not to be limited to the specific details and illustrations shown and described herein, without departing from the general concept as defined by the claims and their equivalents.

Claims (10)

1. A method for designing a structure of a cast aluminum rear floor is characterized by comprising the following steps:
step one, building a finite element model of the cast aluminum floor, analyzing the torsional rigidity of the white automobile body, and extracting the displacement of the cast aluminum floor and a metal plate connecting point based on the torsional rigidity analysis result of the white automobile body;
step two, taking the displacement of the connecting point of the floor and the metal plate after aluminum casting in the step one as a boundary condition of topological optimization, and carrying out topological optimization on the floor after aluminum casting;
step three, comparing whether the body-in-white topological optimization result is consistent with the topological optimization result in the step two;
analyzing a topological optimization result, and carrying out parametric modeling on the reinforcing ribs and the reinforcing ribs on the basis of parametric modeling software;
step five, parameterization optimization of the reinforcing ribs is carried out, and the positions, the sizes and the number of the reinforcing ribs and the reinforcing ribs are optimized;
and sixthly, performing performance retesting on the final optimization scheme.
2. The method for designing the cast-aluminum rear floor structure according to claim 1, wherein in the first step, the cast-aluminum rear floor is modeled by using tetrahedral units, and the mesh size of the rear floor is divided into 6mm at the minimum.
3. The method for designing the structure of the cast-aluminum rear floor as claimed in claim 1, wherein in the first step, the connecting points of the cast-aluminum rear floor and the sheet metal are renumbered, and set is established.
4. The method for designing the cast-aluminum rear floor structure according to claim 1, wherein the load condition for performing topology optimization processing on the cast-aluminum floor in the second step is based on the displacement of the analysis result of the torsional rigidity of the vehicle body, and the target is based on that the flexibility is lowest under the condition and only 30% of the volume is reserved as the target for performing topology optimization analysis.
5. The method for designing the cast-aluminum rear floor structure according to claim 1, wherein the concrete method of the fourth step is as follows:
41 The outer surfaces of the reinforcing ribs and the reinforcing ribs are built by using parameterized modeling software, then tetrahedral units are generated by Hypermesh software, and the coupling of the cast aluminum floor and the metal plate connecting part is realized by rigid units;
42 Based on the built parameterized model, the position is controlled by controlling a base point baseline, the size of the reinforcing rib is controlled by controlling the section of the reinforcing rib, and the correct connection relation is ensured, so that a sample space is generated and parameterized optimization is carried out;
43 A matrix of variables is determined from the ranges of the variables and the parameterized model is driven to vary according to the matrix of variables and a corresponding finite element model is generated.
6. The method for designing a cast-aluminum rear floor structure according to claim 5, wherein the parameterized models of the reinforcing ribs and the reinforcing ribs are established in 43), corresponding position variables and section variables are recorded, and the ranges of the corresponding variables are determined.
7. The design method of the cast-aluminum rear floor structure according to claim 4, wherein the concrete method of the fifth step is as follows:
51 According to the variables of the parameter model established in the fourth step and the corresponding variable ranges, determining a variable matrix corresponding to each sample according to a Latin hypercube algorithm;
52 According to the variable matrix, driving parameterized software to divide the network, coupling the parameterized model and the finite element model, generating a required sample space, and analyzing the torsional rigidity performance of the sample space;
53 ) then a second-order polynomial proxy model is constructed using the response surface method as follows:
Figure FDA0003699215510000021
in the formula: y is the torsional rigidity performance of the vehicle body; beta is a beta 0 ,β i ,β ii ,β ij Is an unknown parameter; x is the number of i Is the ith variable; epsilon is the error;
54 Taking an adjustment coefficient R 2 Evaluating the fitting precision of the proxy model, and adjusting a coefficient formula as follows: when the adjustment coefficient is larger than 0.9, the precision of the proxy model meets the condition;
Figure FDA0003699215510000031
in the formula, n is the number of the test sample points; yi is a simulated value of the ith response;
Figure FDA0003699215510000032
approximate model prediction for ith and response;
Figure FDA0003699215510000033
is the average of simulated values;
55 Based on the proxy model, seeking a reinforcing rib variable combination capable of maximally improving various performances; the optimization model is constructed as follows:
Find y(x 1 ,x 2 ,…,x n )
MAX{K T (x),f T (x)}
in the formula: y (x) 1 ,x 2 ,…,x n ) Is a proxy model; x is the number of 1 ,x 2 ,…,x n Is a variable; k T (x)、f T (x) Respectively, the torsional rigidity and the first-order torsional frequency are subjected to optimization analysis by adopting a self-adaptive simulated annealing method.
8. The utility model provides a floor structural design device behind cast aluminium which characterized in that includes:
the first model creating module is used for creating a finite element model of the cast aluminum rear floor, analyzing the torsional rigidity of the white body and extracting the displacement of the cast aluminum rear floor and the metal plate connecting point based on the torsional rigidity analysis result of the white body;
the topology optimization module is used for taking the displacement of the connection point of the cast-aluminum floor and the metal plate as a boundary condition of topology optimization and carrying out topology optimization on the cast-aluminum floor;
the comparison module is used for comparing whether the body-in-white topological optimization result is consistent with the topological optimization result in the second step;
the second model creating module is used for analyzing the topological optimization result and carrying out parametric modeling on the reinforcing ribs and the reinforcing ribs on the basis of parametric modeling software;
the optimization module is used for optimizing the parameterization of the reinforcing ribs and optimizing the positions, sizes and number of the reinforcing ribs and the reinforcing ribs;
and the review module is used for performing performance review on the final optimization scheme.
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 method of designing a cast aluminium rear floor structure as claimed in any one of claims 1 to 7 is carried out.
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 method of designing a cast aluminum rear floor structure as recited in any one of claims 1 to 7.
CN202210721609.2A 2022-06-17 2022-06-17 Method and device for designing cast aluminum rear floor structure, terminal and storage medium Pending CN115221624A (en)

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