CN116341092A - Frame beam optimization method, system, beam and vehicle - Google Patents

Abstract

The application relates to a frame cross beam optimization method, and relates to the field of automobile optimization. It comprises the following steps: decomposing the CAD model of the whole vehicle into a beam model and a residual model; establishing a finite element model according to the residual model, and performing reduced-order processing on the finite element model to obtain a reduced-order model; establishing a full-parameterized beam model according to the beam model, and realizing non-spatial assembly of the full-parameterized beam model and the residual model through a node ID number corresponding relation to obtain an assembly model; applying the whole vehicle working condition on the working condition applying point according to the node ID number to obtain a working condition model, wherein the whole vehicle working condition comprises a torsion working condition and a bending working condition; loading the whole vehicle optimization variable, the corresponding constraint and the optimization target into the working condition model to obtain an optimization result; queuing the optimization result, and leading out a visual comparison result. The invention solves the problem that structural design engineers cannot directly optimize variable design by parameters.

Description

Frame beam optimization method, system, beam and vehicle

technical field

The present application relates to the field of automobile optimization, in particular to a frame beam optimization method, system, beam and vehicle.

Background technique

During the design process of the current frame beam, because the structural design engineer of the existing frame beam cannot directly obtain the parameter optimization variables of the frame beam, it needs to communicate frequently with the CAE simulation personnel of the frame beam to obtain the parameters according to the CAE The optimization parameters provided by the simulator optimize the frame beams to meet the frame beams required by the vehicle design.

Due to the above-mentioned existing technical solutions, the structural design engineer of the frame beam needs to spend a lot of time in the process of frequently communicating with the CAE simulation personnel of the frame beam, which leads to the low efficiency of the existing frame beam optimization method. Therefore, it is necessary to improve.

Contents of the invention

The embodiment of the present application provides a method for optimizing a frame beam to solve the problem of low efficiency of the existing method for optimizing a frame beam.

In the first aspect, a method for optimizing a vehicle frame beam is provided, which includes: decomposing the vehicle CAD model into a beam model and a residual model; establishing a finite element model according to the residual model, and reducing the order of the finite element model processing to obtain a reduced-order model; set up a full-parameterized beam model according to the beam model, and realize non-space assembly between the fully-parameterized beam model and the reduced-order model through the node ID number correspondence to obtain an assembly model; The node ID number is applied to the assembly model at the working condition application point to obtain the working condition model; load the vehicle optimization variable, corresponding, constraint and optimization target into the working condition model to obtain the optimization result; according to the Based on the above optimization results, the optimized beam optimization model is generated.

In some embodiments, the decomposing the vehicle CAD model into beam models and remaining models includes: removing all beams in the vehicle CAD model from the vehicle CAD model to obtain the beam model; The hole positions connecting the longitudinal beam and the crossbeam in the model are marked, and the marked hole positions are obtained; the marked hole positions and the part of the vehicle CAD model other than the crossbeam model are jointly used as the remaining model.

In some embodiments, the reduced-order model is used to reflect the stiffness matrix, mass matrix, damping matrix and mode shape relationship between the circumscribed node of the beam and the loading node of the working condition.

In some embodiments, the non-spatial assembly of the fully parameterized beam model and the remaining models is realized through the corresponding relationship of node ID numbers, and the assembly model is obtained, which includes: classifying the fully parameterized beam model according to the topological connection relationship, A plurality of CAD parametric models are obtained; through secondary development, a plurality of the CAD parametric models are automatically established according to the established grid division standard to obtain a beam finite element model; the installation direction of the beam is identified, and according to The bolt installation node numbering rule of the longitudinal beam renumbers the center node of the bolt installation hole of the beam to obtain the node ID number; according to the node algorithm relationship, let the beam finite element model and the reduced-order model pass the same node ID number Realize non-space assembly and get assembly model.

In some embodiments, the loading of vehicle optimization variables, responses, constraints, and optimization objectives into the working condition model to obtain the optimization results includes: optimizing the parameters in the fully parameterized beam model, and adding the full The parameters in the parametric beam model are used as optimization variables; the optimization variables, beam stress response and beam mass response are loaded into the working condition model to obtain an optimization result.

In some embodiments, applying the whole vehicle working condition to the assembly model at the working condition application point according to the node ID number to obtain the working condition model further includes: identifying the front and rear axles or The loading position of the saddle; according to the working condition set by the design engineer, the loading position is loaded to the loading node of the working condition model through the preset loading rule to obtain the working condition model.

In some embodiments, the generating the optimized beam optimization model according to the optimization results includes: sorting the optimization results according to the preset result arrangement rules to obtain the sorting results; determining the final parameters of the beam according to the sorting results, according to The final parameters of the beam automatically generate an optimized CAD model.

In the second aspect, the present invention provides a vehicle frame crossbeam optimization system, including: a model decomposition module, used to decompose the vehicle CAD model into a crossbeam model and a residual model; element model, and perform order reduction processing on the finite element model to obtain a reduced order model; an assembly processing module is used to establish a fully parameterized beam model according to the beam model, and combine the fully parameterized beam model with the The reduced-order model realizes non-spatial assembly through the corresponding relationship of node ID numbers to obtain the assembly model; the working condition loading module is used to apply the vehicle working condition to the assembly model at the working condition application point according to the node ID number to obtain the working condition model The optimization processing module is used to load the vehicle optimization variables, corresponding, constraints and optimization objectives into the working condition model to obtain the optimization result; the model regeneration module is used to generate the optimized beam optimization model according to the optimization result.

In a third aspect, the present invention provides a cross beam obtained by optimizing the frame cross beam optimization method.

In a fourth aspect, the present invention provides a vehicle, which includes the cross member.

The embodiment of the present application provides a frame beam optimization method, system, beam and vehicle, including obtaining beam model, residual model, order reduction model, assembly model, working condition model, optimization result and beam optimization model, and obtaining beam optimization After the model, the structural design engineer of the frame beam only needs to realize the optimization of the frame beam according to the optimization parameters in the beam optimization model. In this way, the present invention allows the structural design engineer of the frame beam to complete the parameter Optimizing variable design and optimizing processing of frame beams reduces the communication time between structural design engineers and CAE simulation personnel and improves production efficiency.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings that need to be used in the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present application. For those skilled in the art, other drawings can also be obtained based on these drawings without creative effort.

FIG. 1 is a schematic flowchart of a method for optimizing a vehicle frame beam shown in Embodiment 1 of the present application.

Detailed ways

In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments It is a part of the embodiments of this application, but not all of them. Based on the embodiments in the present application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present application.

The embodiment of the present application provides a method for optimizing a vehicle frame beam, which can solve the problem in the related art that engineers cannot directly optimize variable design with parameters. It should be noted that the method of the present invention is not limited to the flow sequence shown in FIG. 1 if substantially the same result is obtained.

As shown in Figure 1, the frame beam optimization method includes:

S1, decomposing the vehicle CAD model into a beam model and a residual model;

Wherein, the step of decomposing the whole vehicle CAD model into a crossbeam model and a remaining model comprises: S11, removing all crossbeams in the whole vehicle CAD model from the whole vehicle CAD model to obtain a crossbeam model; S12, dividing the whole vehicle CAD The hole positions connecting the longitudinal beam and the crossbeam in the model are marked to obtain the marked hole positions; S13, the marked hole positions and the part of the vehicle CAD model other than the crossbeam model are jointly used as the remaining model.

In actual work, among all planned models, several basic models or new models to be developed are selected according to market needs, and all beam models are removed from the developed vehicle CAD model to obtain the remaining model. At the same time, Mark the hole position connecting the longitudinal beam and the beam, such as the distance between the upper and lower holes is generally a multiple of 30mm, and the distance between the front and rear holes is generally a multiple of 50mm.

In actual work, the bolt hole node numbers linked to the beams in the remaining models are renumbered, and the labeling rules are four digits starting with 1, such as 1001, 1002, etc. The odd number is the node number of the left longitudinal beam bolt connection point in the vehicle CAD model, and the even number is the node number of the right longitudinal beam bolt connection point in the vehicle CAD model. The hole pitch is one digit after the node number, and when the hole pitch is twice the standard hole pitch, the node number is extended by two digits. The loading point of the working condition (such as the tire contact point, the saddle loading point of the tractor, etc.), for example, the node number starts from 1 and ends at 100.

S2. Establish a finite element model according to the remaining model, and perform order reduction processing on the finite element model to obtain a reduced order model;

In actual work, the CAE finite element model is established on the basis of the above step S1. The CAE finite element model fully includes all models (and the remaining models) other than the beam, including the finite element models of bodywork, leaf springs, axles, tires, etc. .

In actual work, the reduced-order model (that is, the reduced-order model) is used to reflect the stiffness matrix, mass matrix, damping matrix, and mode shape relationship between the external nodes of the beam and the loading nodes of the working condition.

S3. Establish a fully parametric beam model according to the beam model, and realize non-spatial assembly of the fully parameterized beam model and the reduced-order model through the corresponding relationship of node ID numbers to obtain an assembly model;

During actual work, the step of obtaining the assembly model includes: S31. Classifying the fully parameterized beam model according to the topological connection relationship to obtain multiple CAD parameterized models; S32. Through secondary development, multiple CAD parameters The finite element model is automatically established according to the established grid division standard to obtain the beam finite element model; S33, identify the installation direction of the beam, and carry out the bolt installation hole central node of the beam according to the bolt installation node numbering rules of the direction longitudinal beam Renumber to obtain the node ID number; S34. According to the node algorithm relationship, let the beam finite element model and the reduced-order model realize non-spatial assembly through the same node ID number to obtain an assembly model.

In actual work, the present invention establishes a fully parametric beam model through parametric modeling, and classifies it according to the topological connection relationship. Through secondary development, the CAD parametric model is automatically established according to the established grid division standard, and the finite element model is automatically re-meshed according to the change of the parameters, which avoids the failure of the grid quality caused by the deformation of the grid size of the finite element software , or the change in grid size leads to inconsistent stress average values (that is, as the grid becomes smaller, the stress value will gradually increase and approach a value).

S4. According to the node ID number, apply the vehicle working condition to the assembly model at the working condition application point to obtain the working condition model;

In actual work, the steps of obtaining the working condition model include: S41. Identify the loading positions of the front and rear axles or saddles through the preset numbering rules of the working condition loading points; S42. Through the working conditions set by the design engineer, through the preset loading points The rule loads the loading position to the loading node of the working condition model to obtain the working condition model.

S5. Loading vehicle optimization variables, responses, constraints, and optimization objectives into the working condition model to obtain an optimization result;

In actual work, the step of obtaining the optimization result includes: S51, optimizing the parameters in the fully parameterized beam model, and using the parameters in the fully parameterized beam model as optimization variables; S52, optimizing the variables, beam stress response and the mass response of the beam are loaded into the working condition model to obtain the optimized results.

In order to make the optimization result better, this step also includes:

K1. Through secondary development, identify the installation direction of the beam, and renumber the central node of the bolt installation hole of the beam according to the numbering rules of the bolt installation node of the direction longitudinal beam, and automatically adjust the node number as the installation position of the beam changes before and after;

K2. According to the node algorithm relationship, the beam and the longitudinal beam can be automatically assembled through the same node ID number, without actually realizing the coincidence of node coordinates in the physical sense. The process of coordinate adjustment by design engineers is reduced.

Further, in step K2, multiple beams can be imported, and the system will automatically turn on and off a certain beam according to the node occupancy, and load or unload a certain beam sequentially. In this way, the DOE simulation analysis of the multi-beam connection structure is realized.

Further, in step K2, the present invention can also include a multi-model optimization scheme, that is, the present invention can generate a variety of reduced-order models of the basic vehicle, and a single beam connection structure can appear in multiple parts of multiple vehicle models at the same time, optimizing In the process, the optimization variable parameter changes are kept consistent to keep the beam models of multiple parts in multiple models consistent.

S6. Generate an optimized beam optimization model according to the optimization result.

During actual work, the step of obtaining the beam optimization model includes: S61, sorting the optimization results according to the preset result arrangement rules, and obtaining the sorting results; S62, determining the final parameters of the beam according to the sorting results, and automatically according to the final parameters of the beam Generate optimized CAD models.

During actual work, the present invention can list the identified CAD model parameters, and allow design engineers (such as structural engineers) to confirm, and finally as optimization variables, the stress response of the beam and the mass response of the beam are automatically loaded by the system's own response. Design engineers (such as structural engineers) can set the stress constraint value according to the beam material, the quality constraint value can be set according to the quality target, or the quality can be set as the optimization target value. At the same time, design engineers can set torsional stiffness constraints, apparent stiffness constraints, and mode shape constraints based on the torsional stiffness, bending stiffness, and modal goals of the same type of vehicle.

In actual work, after the optimization process is over, the system automatically sorts the analysis results, and the design engineer can sort them according to the design quality, stress, etc. For each optimization result, the applicability of each beam connection structure and the influence of each parameter change on the result will be drawn in a curve, surface or histogram, which will more intuitively show the influence of each parameter on the result;

In actual work, after the frame design engineer determines the final parameters of the beam, the software automatically generates the final CAD model with parameters according to the final parameters, which can be directly used by the frame design engineer for assembly.

In the second aspect, as shown in FIG. 1 , the second embodiment of the present invention provides a vehicle frame beam optimization system, including:

The model decomposition module is used to decompose the CAD model of the whole vehicle into a beam model and a residual model;

The order reduction processing module is used to establish a finite element model according to the remaining model, and perform order reduction processing on the finite element model to obtain a reduced order model;

An assembly processing module, configured to establish a fully parametric beam model according to the beam model, and realize non-spatial assembly of the fully parameterized beam model and the reduced-order model through the corresponding relationship of node ID numbers to obtain an assembly model;

The working condition loading module is used to apply the vehicle working condition to the assembly model at the working condition application point according to the node ID number to obtain the working condition model;

An optimization processing module, configured to load vehicle optimization variables, responses, constraints, and optimization objectives into the working condition model to obtain an optimization result;

For specific limitations on the frame beam optimization system, please refer to the above-mentioned limitations on the frame beam optimization method, which will not be repeated here. Each module in the above-mentioned vehicle frame beam optimization system can be fully or partially realized by software, hardware and combinations thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, and can also be stored in the memory of the computer device in the form of software, so that the processor can invoke and execute the corresponding operations of the above-mentioned modules.

In a third aspect, the present invention also provides a frame beam, which is obtained after being optimized by the frame beam optimization method.

In a fourth aspect, the present invention further provides a vehicle, which includes the above-mentioned frame beam.

During actual work, compared with the prior art, the effective effects of the present invention include:

1. To solve the problem that structural design engineers cannot directly optimize variable design with parameters, CAD design engineers can directly operate and complete the optimization process independently, avoiding the time consumption and information asymmetry caused by communication with CAE simulation personnel;

2. The traditional frame beam simulation model includes external models such as frame longitudinal beams, which is poor in pertinence. The present invention uses related technologies to reduce the order of models except the frame beam, and the degree of freedom of the analyzed model is greatly reduced, so that Free up computing resources for more resource-consuming algorithms such as nonlinear analysis optimization and global optimization;

3. Due to the relevant limitations of the CAE software, the optimization parameters cannot be fully parameterized, such as the relationship between the number of beam installation holes and the length of the beam in the front and rear directions. The present invention can set the optimization parameters in the CAD software, and can use CAD The knowledge engineering tool in the software sets variables to truly realize the full parametric design concept, making the optimization scheme more diverse for design engineers to choose from;

4. The working conditions are applied through external nodes such as tires and saddles (tractors), so the working conditions are more realistic, and the working conditions can be changed according to the characteristics of the real vehicle conditions, making the use more flexible;

5. The reduced-order model of the whole vehicle includes the stiffness, damping, mass and other matrix parameters of the installation point of the beam and the loading point of the working condition under the comprehensive action of important components such as tires, leaf springs, suspension, and bodywork. The beam is installed in such a real vehicle Environment optimization, closer to reality;

6. For the first time, the node algorithm relationship is used to judge the position of the beam, so that the optimization of the front and rear position coordinates of the beam and the order of the beam arrangement from front to back become optimization variables, which more comprehensively reflects the full parameterization optimization;

7. According to the data in the model library, it can provide the beam scheme selection of various connection structures for the frame of each vehicle type, so as to avoid the local optimal solution under only a single beam structure.

8. It can output the relationship curve of influence on the change of beam stress, weight change and vehicle stiffness for the change of a single parameter or multiple parameters, so that designers can directly understand the influence of each parameter change and lay an empirical foundation for design standardization;

9. In terms of generalization and modular design, MMO and other optimization modules can achieve the same optimization results of the same parameter variable values of the same beam structure on different models and different frame parts, which can improve the generalization of the same frame beam structure, Modular;

10. Report synthesis, guide the design, and generate the trend of the influence of the visualized parameters on the results that design engineers are most concerned about.

In the description of the present application, it should be noted that the orientation or positional relationship indicated by the terms "upper", "lower" and so on is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the present application and simplifying the description. It is not intended to indicate or imply that the device or element referred to must have a particular orientation, be constructed, or operate in a particular orientation, and thus should not be construed as limiting the application. Unless otherwise clearly specified and limited, the terms "installation", "connection" and "connection" should be interpreted in a broad sense, for example, it may be a fixed connection, a detachable connection, or an integral connection; it may be a mechanical connection, It can also be an electrical connection; it can be a direct connection, or an indirect connection through an intermediary, or an internal communication between two components. Those of ordinary skill in the art can understand the specific meanings of the above terms in this application according to specific situations.

It should be noted that in this application, relative terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply There is no such actual relationship or order between these entities or operations. Furthermore, the term "comprises", "comprises" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article, or apparatus comprising a set of elements includes not only those elements, but also includes elements not expressly listed. other elements of or also include elements inherent in such a process, method, article, or device. Without further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article or apparatus comprising said element.

The above descriptions are only specific implementation manners of the present application, so that those skilled in the art can understand or implement the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the application. Therefore, the present application will not be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features claimed herein.

Claims (10)

1. A vehicle frame beam optimization method, characterized in that it comprises: Decompose the vehicle CAD model into beam model and residual model; Establishing a finite element model according to the remaining model, and performing order reduction processing on the finite element model to obtain a reduced order model; Establishing a fully parametric beam model according to the beam model, and realizing non-space assembly through the node ID number correspondence between the fully parameterized beam model and the reduced-order model, to obtain an assembly model; Applying the vehicle working condition to the assembly model at the working condition application point according to the node ID number to obtain the working condition model; Loading vehicle optimization variables, responses, constraints and optimization objectives into the working condition model to obtain optimization results; An optimized beam optimization model is generated according to the optimization results. 2. vehicle frame beam optimization method as claimed in claim 1, is characterized in that: The vehicle CAD model is decomposed into a beam model and a residual model, including: All beams in the vehicle CAD model are removed from the vehicle CAD model to obtain a beam model; Mark the hole position connecting the longitudinal beam and the cross beam in the vehicle CAD model to obtain the marked hole position; The marked holes and the part of the vehicle CAD model other than the crossbeam model are collectively used as the remaining model. 3. vehicle frame beam optimization method as claimed in claim 1, is characterized in that: The reduced-order model is used to reflect the stiffness matrix, mass matrix, damping matrix and mode shape relationship between the external nodes of the beam and the loading nodes of the working condition. 4. vehicle frame beam optimization method as claimed in claim 1, is characterized in that: The non-spatial assembly of the fully parameterized beam model and the remaining model through the node ID number correspondence is realized to obtain an assembly model, including: Classifying the fully parameterized beam models according to the topological connection relationship to obtain a plurality of CAD parameterized models; Through secondary development, multiple CAD parametric models are automatically established according to the established grid division standard to obtain the finite element model of the beam; Identify the installation direction of the beam, and renumber the central node of the bolt installation hole of the beam according to the bolt installation node numbering rule of the direction longitudinal beam, to obtain the node ID number; According to the node algorithm relationship, the beam finite element model and the reduced-order model are allowed to realize non-space assembly through the same node ID number to obtain an assembly model. 5. vehicle frame beam optimization method as claimed in claim 1, is characterized in that: The loading of vehicle optimization variables, responses, constraints and optimization objectives into the working condition model to obtain optimization results includes: Optimizing the parameters in the fully parameterized beam model, and using the parameters in the fully parameterized beam model as optimization variables; The optimization variables, the stress response of the beam and the mass response of the beam are loaded into the working condition model to obtain the optimization result. 6. The vehicle frame beam optimization method as claimed in claim 5, characterized in that: According to the node ID number, applying the vehicle working condition to the assembly model at the working condition application point to obtain the working condition model includes: Identify the loading positions of the front and rear axles or saddles through the preset numbering rules of loading points in working conditions; The working condition model is obtained by loading the loading position on the loading node of the working condition model through the working condition set by the design engineer and the preset loading rule. 7. The vehicle frame beam optimization method according to claim 1, characterized in that: The generating the optimized beam optimization model according to the optimization result includes: sorting the optimization results according to a preset result ranking rule to obtain a sorting result; The final parameters of the beam are determined according to the sorting results, and an optimized CAD model is automatically generated according to the final parameters of the beam. 8. A vehicle frame beam optimization system, characterized in that: The model decomposition module is used to decompose the CAD model of the whole vehicle into a beam model and a residual model; The order reduction processing module is used to establish a finite element model according to the remaining model, and perform order reduction processing on the finite element model to obtain a reduced order model; An assembly processing module, configured to establish a fully parametric beam model according to the beam model, and realize non-spatial assembly of the fully parameterized beam model and the reduced-order model through the corresponding relationship of node ID numbers to obtain an assembly model; The working condition loading module is used to apply the vehicle working condition to the assembly model at the working condition application point according to the node ID number to obtain the working condition model; An optimization processing module, configured to load vehicle optimization variables, responses, constraints, and optimization objectives into the working condition model to obtain an optimization result; The model regeneration module is used to generate an optimized beam optimization model according to the optimization result. 9. A crossbeam, characterized in that the crossbeam is obtained after being optimized by the vehicle frame crossbeam optimization method according to any one of claims 1-7. 10. A vehicle, characterized in that the vehicle comprises the cross member of claim 9.

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