CN116861588A

CN116861588A - Method and device for designing instrument panel beam, electronic equipment and readable storage medium

Info

Publication number: CN116861588A
Application number: CN202310827924.8A
Authority: CN
Inventors: 苏永雷
Original assignee: Xiaomi Automobile Technology Co Ltd
Current assignee: Xiaomi Automobile Technology Co Ltd
Priority date: 2023-07-06
Filing date: 2023-07-06
Publication date: 2023-10-10
Anticipated expiration: 2043-07-06
Also published as: CN116861588B

Abstract

The disclosure relates to a design method, a device, electronic equipment and a readable storage medium of an instrument board beam, and relates to the technical field of automobile body structures, wherein the method comprises the following steps: acquiring a TB model, and intercepting the TB model to obtain a constraint model, wherein the intercepting is used for reserving a region affecting the performance of the instrument board beam; identifying a plurality of weight-related modes corresponding to the constraint model according to the vibration mode; determining a composite modal strain energy based on the plurality of stress modes; and determining a weak link structure according to the comprehensive modal strain energy, and optimizing the constraint model based on the weak link structure to obtain a target model. According to the method and the device, the comprehensive modal strain energy is determined by utilizing the weight-related mode, and the constraint model is optimized based on the weak link structure obtained by the comprehensive modal strain energy, so that the optimization of the instrument panel beam can be more reasonably and efficiently realized.

Description

Method and device for designing instrument panel beam, electronic equipment and readable storage medium

Technical Field

The disclosure relates to the technical field of automobile body structures, in particular to a design method and device of an instrument board beam, electronic equipment and a readable storage medium.

Background

CCBs (Cross Car Beam) are one of the more important structures in automotive frames, and mainly include main beams, side end brackets, column fixing bracket assemblies, lower legs, auxiliary brackets, and the like. In the related art, the CCB structure is used for providing bearing and fixing for parts such as an instrument board body and accessories thereof, a central control large screen, an ecological chain product, an air bag, a steering column, an air conditioner box body and the like, and has an important effect on the structural performance of a vehicle. Therefore, how to design the instrument panel beam better is a technical problem to be solved.

Disclosure of Invention

To overcome the problems in the related art, the present disclosure provides a method, an apparatus, an electronic device, and a readable storage medium for designing an instrument panel beam.

According to a first aspect of an embodiment of the present disclosure, there is provided a method for designing an instrument panel cross beam, including:

acquiring a TB model, and intercepting the TB model to obtain a constraint model, wherein the intercepting is used for reserving a region affecting the performance of the instrument board beam;

identifying a plurality of weight-related modes corresponding to the constraint model according to the vibration mode;

determining a composite modal strain energy based on the plurality of stress modes;

And determining a weak link structure according to the comprehensive modal strain energy, and optimizing the constraint model based on the weak link structure to obtain a target model.

Optionally, the identifying a plurality of heavy-duty modes corresponding to the constraint model according to the mode shapes includes:

correcting the constraint model to obtain a corrected model;

and identifying a plurality of heavy-duty modes corresponding to the correction model according to the vibration mode.

Optionally, the correcting the constraint model to obtain a corrected model includes:

carrying out mode identification of each order on the constraint model to obtain a plurality of modes;

and executing correction operation according to the characteristics of each mode to obtain the correction model.

Optionally, the performing a correction operation according to the characteristics of each modality includes:

if the mode is a local thin-wall object, setting the density of the structural material attribute of the mode as a first numerical value, and retaining the elastic mode and the rigidity characteristic;

if the mode is a free edge or an object with insufficient constraint, deleting part of the free edge of the mode.

Optionally, the determining the integrated modal strain energy based on the plurality of stress modes includes:

Acquiring a first mode which does not meet a performance target in a plurality of weight-closing modes;

and determining a weighting coefficient of the first mode, and determining the comprehensive mode strain energy by using the weighting coefficient.

Optionally, the optimizing the weak link structure to obtain the target model includes:

constructing a first topological domain based on the weak link structure;

and replacing the area corresponding to the weak link structure by using the first topological domain to obtain the target model.

Optionally, the target model includes a main beam of an instrument panel beam, and the method further includes:

and optimizing the reinforcing ribs in the groove-shaped area on the inner side of the main beam of the instrument board beam to obtain key reinforcing ribs.

Optionally, the optimizing the reinforcing rib of the inner side groove type region of the main beam to obtain the key reinforcing rib includes:

uniformly arranging the reinforcing ribs to the main cross beam to form a plurality of uniformly arranged reinforcing ribs;

selecting a first type of reinforcing rib from the plurality of uniformly arranged reinforcing ribs, deleting the first type of reinforcing rib to obtain the key reinforcing rib, wherein the thickness of the first type of reinforcing rib is close to zero.

Optionally, the method further comprises:

selecting all units of the reinforcement surface of each reinforcement of the target model;

calculating the average thickness of all units of each rib surface through a self-adaptive equivalent thickness calculation formula;

and updating the starting thickness of each rib face by using the average thickness.

Optionally, the adaptive equivalent thickness calculation formula is:

wherein T (x) is the self-adaptive equivalent thickness; v is the total volume of the units on the fascia; a is the area of the fascia.

Optionally, updating the starting thickness of each rib surface by using the average thickness includes:

and optimizing the starting thickness of each reinforcement surface based on an optimization target, an optimization variable and a constraint condition, wherein the optimization target is material cost, the optimization variable is the average thickness, and the constraint condition is that the weight of the starting thickness is less than or equal to a target weight and/or the modal performance is greater than or equal to a performance target value.

Optionally, the method further comprises:

establishing a target node set according to the nodes at the outer edge of each reinforcing rib;

a free shape optimization operation is performed for the set of target nodes.

According to a second aspect of embodiments of the present disclosure, there is provided a design apparatus of an instrument panel cross beam, including:

The acquisition module is configured to acquire a TB model, intercept the TB model to obtain a constraint model, and the intercept is used for reserving a region affecting the performance of the instrument board beam;

the identifying module is configured to identify a plurality of weight-related modes corresponding to the constraint model according to the vibration mode;

a determination module configured to determine an integrated modal strain energy based on the plurality of stress modes;

and the optimization module is configured to determine a weak link structure according to the comprehensive modal strain energy, and optimize the constraint model based on the weak link structure to obtain a target model.

According to a third aspect of embodiments of the present disclosure, there is provided an electronic device comprising:

a processor;

a memory for storing processor-executable instructions;

wherein the processor is configured to:

acquiring a TB model, and intercepting the TB model to obtain a constraint model, wherein the intercepting is used for reserving a region affecting the performance of a beam of an instrument board;

According to a fourth aspect of embodiments of the present disclosure, there is provided a computer-readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the steps of the method for designing a dash cross-beam provided by the first aspect of the present disclosure.

According to the technical scheme, the TB model is obtained, the TB model is intercepted, the constraint model is obtained, the intercepting is used for reserving an area affecting the performance of the instrument board beam, then a plurality of weight-closing modes corresponding to the constraint model are identified according to the vibration mode, on the basis, comprehensive modal strain energy is determined based on the weight-closing modes, finally a weak link structure is determined according to the comprehensive modal strain energy, and the constraint model is optimized based on the weak link structure, so that the target model is obtained. According to the method and the device, the comprehensive modal strain energy is determined by utilizing the weight-related mode, and the constraint model is optimized based on the weak link structure obtained by the comprehensive modal strain energy, so that the optimization of the instrument panel beam can be more reasonably and efficiently realized.

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 disclosure.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure.

Fig. 1 is a flow chart illustrating a method of designing an instrument panel cross beam according to an exemplary embodiment.

FIG. 2 is a flow chart illustrating another method of designing an instrument panel cross beam according to an exemplary embodiment.

Fig. 3 is a block diagram illustrating a design apparatus of an instrument panel cross beam according to an exemplary embodiment.

Fig. 4 is a block diagram of an electronic device, according to an example embodiment.

Detailed Description

Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present disclosure as detailed in the accompanying claims.

It should be noted that, in this disclosure, the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or order of indication or implying any particular order; when the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated.

As an alternative, to design a fascia beam (CCB) it is often necessary to consider a number of properties: the installation function is as follows: mounting and fixing electric devices such as a supporting instrument board and an air conditioner; collision protection: supporting knee impact protection, providing a crash cushion, and providing support for PAB (passenger airbag) deployment by explosion; NVH (Noise, vibration, harshness, noise, vibration and harshness) quality: the functions of a steering column and a steering wheel are supported, and design requirements such as vibration and the like are met; running performance: braking shake related to running, running shimmy, and the like; manufacturing cost: the light weight design is satisfied, and the manufacturing cost is reduced. All five of these properties require CCBs with higher stiffness and modal base properties.

In the related art, when the steering CCB analysis is carried out, simulation analysis optimization of single constraint of the steering CCB system is usually required to be carried out, and verification under a TB (Trimmed Body) model is carried out after the performance reaches the standard. However, due to the difference of constraint boundaries, the correlation between the simulation results under the monomer and the TB model is poor, so that the CCB structure based on monomer performance optimization is not the optimal design of the whole vehicle state, and even the critical path identification and optimization based on the CCB monomer can generate misleading on the whole vehicle performance design. In addition, there is a lack of a positive design approach for many hybrid materials, particularly for injection molded ribbed CCB structures.

Fig. 1 is a flow chart illustrating a method of designing an instrument panel cross-beam according to an exemplary embodiment, as shown in fig. 1, which may include the following steps.

In step S110, a TB model is acquired, and interception processing is performed on the TB model, so as to obtain a constraint model.

As an alternative, from the viewpoint of mode performance, the TB state is the same as the vehicle state in the definition and boundary condition of the dashboard cross beam, and the frequency performance of the relevant modes of the dashboard cross beam is also substantially consistent. Thus, the embodiment of the disclosure may acquire a TB model, and intercept the TB model to obtain a constraint model (proxy model). Wherein the interception process is used for reserving a region affecting the performance of the instrument panel beam.

Specifically, according to the embodiment of the disclosure, on the basis of the TB model, a part with low association degree with the instrument board beam can be cut off, and a partial area affecting the performance of the instrument board beam is reserved, so that the constraint model is obtained. The preserved constraint model reasonably constrains the interception boundary.

As a specific embodiment, the interception rule of the constraint model may be: under an ANSA software environment, intercepting along a YZ plane, and defining a first intercepting plane, namely selecting the YZ plane passing through the hard point position of the front tower packet to realize intercepting; and defining a second intercepting surface, namely, intercepting through the YZ surface of the rear edge of the front seat cross beam. In the TB model state, the embodiment of the present disclosure may retain model information in the middle of two sections and set all nodes of the section boundary as boundary points. Specifically, 1-6 degrees of freedom fixed constraints are set to construct a constraint model.

In the disclosed embodiments, the boundaries of the steering instrument panel beams in the constraint model may be consistent with the boundaries of the TB model. Specifically, the constraint model may include overlap with the front wall panel, overlap with the floor, overlap with the air conditioning case, and overlap with the lower body of the a-pillar. The accurate reservation of the boundary conditions can ensure the consistency and accuracy of the CCB mode in the constraint model state and the CCB mode in the TB model state.

As another alternative, after the constraint model is obtained, embodiments of the present disclosure may verify the computational accuracy of the constraint model. Specifically, a modal analysis result corresponding to the constraint model is obtained, and the modal analysis result is compared with a modal analysis result of the TB model. If the analysis result of the constraint model is consistent with the TB model, the obtained constraint model is determined to be reasonable, and the constraint model is utilized to carry out subsequent optimization analysis. Because the scale of the constraint model is obviously lower than that of the TB model, the single analysis calculation time can be reduced, and the calculation efficiency of multiple analysis iterations required for optimizing the analysis working condition can be greatly improved.

As a specific implementation manner, the embodiment of the disclosure may obtain a deviation between a modal analysis result of the constraint model and a modal analysis result of the TB model, and determine whether the deviation is less than or equal to a first preset value. If the deviation is smaller than or equal to the first preset value, the accuracy of determining the constraint model is extremely high, and the constraint model can be used for directly replacing the TB model and verifying the TB model. Here, the first preset value may be 0.1Hz.

Optionally, if it is determined that the deviation between the modal analysis result of the constraint model and the modal analysis result of the TB model is greater than a first preset value and less than or equal to a second preset value, the accuracy of the constraint model is determined to be higher, and the embodiment of the present disclosure may optimize the constraint model first, replace the TB model with the optimized model, and perform TB model verification.

In step S120, a plurality of heavy-duty modes corresponding to the constraint model are identified according to the mode shape.

In some embodiments, the constraint model may correspond to a plurality of modes, where the plurality of modes may further include a plurality of related modes. Here, the critical mode may be a critical mode that is relative to the dashboard beam, i.e. the critical mode may be a mode that is associated with and critical to the dashboard beam.

In the embodiment of the present disclosure, the plurality of weight-off modes may include a steering wheel vertical mode, an IP (Instrument Panel) mode, and a large screen mode. Embodiments of the present disclosure may conduct modal and single strain energy analysis based on constraint models. Specifically, the mode calculation result is checked in the HyperView of the finite element post-processing software, the weight-closing mode is identified according to the vibration mode, and the corresponding vertical mode, IP mode and large screen mode frequencies fx, fv and fz of the steering wheel are recorded. On the basis, strain energy characteristics corresponding to single modes are checked respectively, and corresponding structural weak links are associated.

Optionally, due to structural arrangement, strain energy of the steering wheel vertical mode is concentrated in the left side region of the CCB, the magnesium column support region and the middle support; strain energy of the IP mode is concentrated in the right region of the CCB and the middle scaffold; strain energy of the large screen mode is concentrated in the large screen support region and the middle support region. It can be seen that the key force transmission path corresponding to a single mode is clearer, but the coupling association relationship exists between the performances of different modes. After identifying the plurality of stress modes corresponding to the constraint model, embodiments of the present disclosure may determine an integrated modal strain energy based on the plurality of stress modes, i.e., enter step 130.

Strain energy in embodiments of the present disclosure is a representation of stress and strain, with stress being greater if concentrated, and greater strain energy indicating weaker corresponding regions.

In step S130, an integrated modal strain energy is determined based on the plurality of stress modes.

As an alternative, embodiments of the present disclosure may obtain a first mode of a plurality of related modes that does not meet a performance target, then determine a weighting coefficient for the first mode, and determine an integrated mode strain energy using the weighting system. It can be seen that, before the comprehensive modal strain energy is obtained, the embodiment of the disclosure may first select the first mode satisfying the preset condition from the plurality of stress-related modes.

The preset condition may be that the frequency of the heavy mode does not meet the corresponding target value. For example, the large screen mode frequency f in the off-mode _z And if the corresponding target value F1 is met, the mode superposition is not participated, namely the large screen mode cannot be used as the first mode. As another example, the frequency f of the steering wheel vertical mode _x If the corresponding target value F2 is not met, the steering wheel vertical mode can participate in mode superposition, namely the steering wheel vertical mode can be used as a first mode.

In the embodiment of the disclosure, the weighting coefficient of the first mode may be determined by the difference between the current performance of the first mode and the performance target. The current performance may be a first mode frequency, and the performance target may be a target value corresponding to the first mode. For example, in the above example, when the steering wheel vertical mode is used as the first mode, the corresponding difference (weighting coefficient) may be F2-F _x 。

From the above description, it is known that the weight-closing modes may include third-order modes, which are respectively a steering wheel vertical mode, an IP mode and a large screen mode, and after comparing the weight-closing modes with corresponding target values, if the frequency (f _x 、f _v 、f _z ) None of them satisfies the correspondingAnd the differences among the third-order modes are a, b and c, the ratio of the weighting coefficients of the mode superposition is a: b: c. at this time, the corresponding integrated modal strain energy=a×f _x +b*f _v +c*f _z 。

Optionally, if only two orders in the third-order mode are determined to not meet the performance target, and the mode difference is a and b, the weighted coefficient ratio of mode superposition is a: b. for example, the steering wheel vertical mode and the IP mode do not meet the corresponding performance targets, the difference between the steering wheel vertical mode and its corresponding target value is a, and the difference between the IP mode and its corresponding target value is b. At this time, the corresponding integrated modal strain energy=a×f _x +b*f _v 。

Optionally, if it is determined that only the first order in the third-order mode does not meet the performance target, the important point is to raise the weak area corresponding to the third-order mode, and mode superposition is not needed. Therefore, before determining the comprehensive modal strain energy by using the weighting coefficients, the embodiment of the disclosure may determine whether only one of the third-order modes does not meet the performance target, and if it is determined that only one of the third-order modes does not meet the performance target, weighted superposition is not required. In other words, strain energy of modes that do not meet the performance target may be directly used as the integrated modal strain energy.

It should be noted that, before the comprehensive modal strain energy is obtained, the embodiment of the disclosure may introduce the constraint model and the calculation result selection display column DerivedLoad steps in the H2D format into the modal superposition setting module through the hyperview post-processing software. In addition, when the first modality is acquired and weighted stacking is performed, the weighted stacking method and rule may be: and selecting the order of the mode superposition and loading. The superposition type can select linear-superposition, and can define modal weighting coefficients of different orders respectively.

As an alternative, after the comprehensive modal strain energy is obtained, the embodiments of the present disclosure may determine whether the strain energy concentration area is a structural design weak link, and if the strain energy concentration area is a structural design weak link, it needs to be further demonstrated whether there is a further design space for further improvement in arrangement. If there is a further improved design space, a design space is constructed according to the design envelope surface, and weak link structure reinforcement optimization is performed based on the design space.

In step S140, a weak link structure is determined according to the integrated modal strain energy, and the constraint model is optimized based on the weak link structure, so as to obtain a target model.

As an alternative, the present disclosure may determine the weak link structure based on the integrated modal strain energy after the integrated modal strain energy is acquired, or the weak link region based on the integrated modal strain energy. In the embodiment of the disclosure, the greater the integrated modal strain energy, the greater the likelihood that the corresponding region is a weak region.

In some embodiments, when determining the weak link structure according to the integrated modal strain energy, the embodiments of the present disclosure may determine whether the integrated modal strain energy is greater than a specified threshold, and if the integrated modal strain energy is greater than the specified threshold, determine that the region corresponding to the integrated modal strain energy is a weak region.

As another alternative, after the weak link structure is obtained, the embodiments of the present disclosure may optimize the constraint model based on the weak link structure to obtain the target model. Specifically, a first topological domain is constructed based on the weak link structure, and on the basis, the area corresponding to the weak link structure is replaced by the first topological domain to obtain a target model.

In other words, the embodiment of the disclosure may determine the weak area on the constraint model through the obtained integrated modal strain energy, and then construct a first topological area, and replace the weak area with the first topological area.

As a specific implementation manner, in the embodiment of the present disclosure, a topological domain may be established according to a design space (weak area), and because a structural design form of a force transmission path is often a partition board, a rib plate or a rib, a grid with a too large size is difficult to accurately embody a force transmission effect of a main path, in order to ensure grid quality of the topological domain, an average cell size of the grid may be set to be 3mm. In addition, the weak area of the finite element model of the existing structure is replaced by a topological domain, the topological domain and a regular area of the finite element model (constraint model) can be connected by a common node or a corresponding node rbe, and the irregular area is connected by a TIE connection type, so that the 'stitching' of the topological domain body grid and the original model finite element shell grid can be completed, and a 'stitching area' is obtained.

According to the embodiment of the disclosure, a constraint model is obtained by acquiring a TB model and intercepting the TB model, wherein the interception is used for reserving an area affecting the performance of a beam of an instrument board, then a plurality of critical modes corresponding to the constraint model are identified according to the vibration mode, on the basis, comprehensive mode strain energy is determined based on the plurality of critical modes, and finally a weak link structure is determined according to the comprehensive mode strain energy, and the constraint model is optimized based on the weak link structure, so that a target model is obtained. According to the method and the device, the comprehensive modal strain energy is determined by utilizing the weight-related mode, and the constraint model is optimized based on the weak link structure obtained by the comprehensive modal strain energy, so that the optimization of the instrument panel beam can be more reasonably and efficiently realized.

Fig. 2 is a flow chart illustrating a method of designing an instrument panel cross-beam according to an exemplary embodiment, which may include the following steps, as shown in fig. 2.

In step S210, a TB model is acquired, and interception processing is performed on the TB model, so as to obtain a constraint model.

The specific embodiment of step S210 is described in detail above, and will not be described herein.

In step S220, the constraint model is modified to obtain a modified model.

As an alternative, after the constraint model is obtained, embodiments of the present disclosure may modify the constraint model, where the object of modification may be a constraint model component other than the instrument panel beam. Specifically, each order of modal identification is carried out on the intercepted constraint model. On the basis, model information which has no influence or less influence on CCB performance is simplified for existing local modes, so that the mode order is reduced, and the accuracy of mode identification and mode tracking is improved.

As a specific implementation, the embodiment of the disclosure may use different simplification methods according to the characteristics of the model object. Specifically, for constraint model parts except for the instrument board beam assembly, if the constraint model parts are local thin-wall objects, the density of the structural material attribute is set to be 0, and the elastic modulus and the rigidity characteristics are reserved. In addition, for constraint model parts except for the instrument panel beam assembly, if the parts are free edges or modes generated by insufficient constraint, partial free edges or finite element local areas which do not contribute to the performance of the constraint model are deleted.

Therefore, in the embodiment of the present disclosure, when the correction operation is performed according to the characteristics of each mode, the correction may be performed on the constraint model components except for the instrument panel beam assembly, and detailed descriptions of how to correct the foregoing embodiments are omitted herein.

In summary, the embodiments of the present disclosure may correct the obtained constraint model to obtain a corrected model. Specifically, performing mode identification of each order on the constraint model to obtain a plurality of modes, and then executing correction operation according to the characteristics of each mode to obtain a correction model. In the process, if the mode is determined to be a local thin-wall object, the density of the structural material attribute of the mode is set to be a first value, and the elastic mode and the rigidity characteristic are reserved, wherein the first value can be 0. Optionally, if a modality is a free edge or an object with insufficient constraints, part of the free edge of the modality is deleted.

As an example, the constraint model is subjected to each-order modal identification, and the obtained multiple modalities include a first modality, a second modality and other modalities. The first mode is a local thin-wall object, so that the embodiment of the disclosure can set the density of the structural material attribute of the first mode to be a first value, and the elastic mode and the rigidity characteristic of the first mode are reserved. The second modality is a free edge or an object with insufficient constraint, then part of the free edge of the modality is deleted, or a finite element local region that does not contribute to the performance of the constraint model may also be deleted.

It should be noted that, when determining that a modality is a local thin-wall object, the embodiment of the present disclosure may also directly delete a portion corresponding to the modality to be free. Similarly, when determining that a mode is a free edge or an object with insufficient restraint, embodiments of the present disclosure may also set the density of structural material properties of the mode to a first value and preserve elastic mode and stiffness characteristics.

In step S230, a plurality of heavy modes corresponding to the correction model are identified based on the mode shape.

In step S240, an integrated modal strain energy is determined based on the plurality of stress modes.

In step S250, a weak link structure is determined according to the integrated modal strain energy, and the constraint model is optimized based on the weak link structure, so as to obtain a target model.

The specific embodiments of step S230 to step S250 have been described in detail, and will not be described here again.

As an alternative, the embodiment of the disclosure may set the drawing die to be a "split" type bidirectional drawing die when the drawing die is set, where the drawing die reference plane is consistent with the "stitching region" finite element reference plane in the above embodiment, and the rib lifting direction is consistent with the "stitching region" finite element rib lifting direction. In addition, according to the topology optimization result and in combination with process feasibility, the embodiment of the disclosure can perform engineering design and verify the lifting effect of the engineering scheme.

In some embodiments, the target model may include a main beam of the instrument panel beam, and the embodiments of the present disclosure may optimize the stiffener in the main beam inner side channel region of the instrument panel beam to obtain the key stiffener. Specifically, the main beam is uniformly full of reinforcing ribs, a plurality of reinforcing ribs which are uniformly distributed are arranged, then a first type of reinforcing rib is selected from the plurality of reinforcing ribs which are uniformly distributed, the first type of reinforcing rib is deleted, and the key reinforcing rib is obtained, wherein the thickness of the first type of reinforcing rib can be close to zero. Illustratively, the first type of stiffener may have a thickness of 0.

As a specific embodiment, to identify the position where the main beam plastic-coated steel needs to be reinforced and the most reasonable reinforcing rib arrangement position. According to the embodiment of the disclosure, the plastic reinforcing ribs in the groove-shaped area on the inner side of the main beam of the instrument board beam are uniformly distributed and fully distributed on the whole main beam. On the basis, a plastic reinforcing rib unit on the inner side of the main beam is selected for free size optimization.

The specific settings are as follows: thickness range [0, tmax ], wherein Tmax is the maximum thickness value allowed by the root of the reinforcing rib; optimization constraint: guan Chong mode is equal to or greater than the mode simulation result in the embodiment, namely the off-mode frequency after the reinforcing rib is optimized is required to be equal to or greater than the off-mode frequency before the optimization; optimization target: the volume fraction of the plastic reinforcing ribs of the main beam is minimum. In summary, the ribs with a thickness close to 0mm are unimportant areas and can be deleted, while the ribs with a larger thickness need to be reserved.

In other embodiments, after optimizing the reinforcing ribs in the inner groove area of the main beam, in the embodiments of the present disclosure, all units of the rib surface of each reinforcing rib on the target model may be selected, and then the average thickness of all units of each rib surface is calculated by using an adaptive equivalent thickness calculation formula, and the rib starting thickness of each rib surface is updated by using the average thickness.

Here, the adaptive equivalent thickness calculation formula is:

In a specific embodiment, the instrument panel beam has more reinforcing ribs, the magnesium bracket and the plastic bracket are all injection molded or die-cast molded, each rib is produced by drawing a die, the root of the rib face is thicker due to the drawing gradient requirement, the drawing end of the rib face is thinner, and the thickness of the rib cannot be directly optimized in large scale due to the thickness characteristic of the rib. However, the draft angle of each rib face is determined, the thickness gradient change of the rib face is continuous and uniform, and the equivalent thickness and the variable thickness performance of the rib face are basically consistent under the condition that the rib raising structure is relatively regular. The invention provides a strategy method for rapidly parameterizing a fascia by replacing variable thickness with self-adaptive equivalent thickness. The method comprises the following steps:

1) Selecting any one unit on the rib surface based on the finite element model, selecting all units of the rib surface in a by face mode, extracting the Volume and the Area of all units of the rib surface, and determining the equivalent thickness of the rib surface according to the Volume (V) and the Area (Area, A) of the rib surface, wherein the equivalent thickness calculation formula is as follows: t (x) =v/a.

2) And each rib surface is independently provided with a corresponding attribute and part group, the material parameters in the attribute information are consistent with the original model, and the thickness is automatically updated to be equivalent thickness.

3) And (3) displaying all the ribs which need to be subjected to thickness parameterization independently, and carrying out thickness accurate equivalence on the displayed ribs in batches according to the sequence through a secondary development program.

The equivalent of the thickness of the fascia is completed through the steps 3, and the thickness of the fascia is taken as an independent variable at the moment, so that the fascia can be directly defined in a parameterized manner.

In other embodiments, the tendon thicknesses are used as optimization variables, and the tendon thicknesses of each tendon are optimized based on optimization objectives, optimization variables, and constraints. Wherein the optimization objective may be material cost; the optimization variable may be the average thickness described above; the constraint may be that the weight of the rib thickness is equal to or less than a target weight, and/or that the modal performance is equal to or greater than a performance target value.

In a specific embodiment, since the magnesium alloy, steel, and plastic have large unit price differences, the weight is roughly taken as a final consideration index, and the cost increase due to the unit price differences of different materials cannot be reflected. Therefore, combining product development attention indexes with customer requirements, it is more valuable to perform final optimization matching based on a cost model. First, a cost model is built, and the corresponding formula may be:

wherein K is _M Is the material cost; ΔK _mi Price per unit weight of each structural member participating in optimization, G _si For the weight of the individual structures involved in the optimization.

Secondly, constructing a weight model, wherein the corresponding formula is as follows:

where G is the weight of interest.

As another specific implementation, embodiments of the present disclosure may perform "cost-effective" thickness parameter definition and cost model-based dimensional optimization, including parameter settings, constraints, and optimization objectives. The parameter setting relates to size optimization definition, and specifically comprises thickness parameters of plastic and magnesium alloy reinforcing ribs and thickness parameters of steel sheet metal. The thickness of the plastic is 0.1mm, the value resolution of 2.0mm-5.0mm is 0.1mm, wherein 2.0mm is the minimum thickness value feasible by the process; the thickness of the magnesium alloy is 0.1mm, the value resolution is 0.1mm from 2.3mm to 5.0mm, wherein 2.3mm is the minimum thickness value feasible by the process, and the steel material is 1.0mm or 1.2mm. The plastic and the magnesium alloy both comprise a discrete thickness of at least 0.1mm, so that structures insensitive to the relative index of performance/cost are identified through an optimization means, and the structure areas which are not high in cost performance and do not meet the functional requirements are deleted.

Alternatively, the constraint may be: the weight is less than or equal to the target weight; the performance is more than or equal to the performance target value. In addition, the optimization objective is to minimize K at cost _M . According to the embodiment of the disclosure, whether the rib with the thickness of 0.1mm is unimportant or not can be analyzed according to the optimized structure, and whether the functional requirement exists or not. If the model can be deleted, carrying out simulation calculation again on the model with the structure of 0.1mm deleted, and verifying whether the performance is not changed greatly; if the performance is not affected or the target is met before and after deletion, the deletion is effective.

As another alternative, after the latest target model is obtained through the above optimization, the embodiment of the disclosure may perform modal analysis again, directly read the strain energy result of each order, pay attention to the area where the modal strain energy is concentrated, or pay attention to the area where the strain energy is smaller. The embodiment of the disclosure can adjust the trend of the lifting ribs to keep the adjacent lifting ribs in the same direction as much as possible so as to enhance the capacity transfer and reduce the stress concentration, or the stress concentration area is increased with lifting ribs, the lifting rib material thickness is increased, and the like to slow the stress concentration. Conversely, for areas with less strain energy, embodiments of the present disclosure may dig lightening holes in larger base locations.

As another alternative, the embodiment of the present disclosure may also establish a target node set according to the nodes of the outer edge of each stiffener, and perform a free shape optimization operation, i.e., perform free shape optimization, on the target node set. Definition of free shape optimization, wherein: and a group of node set sets are established at all nodes at the outer edge of each reinforcing rib, all set sets can be used as design variables for free shape optimization, and each set can be scaled along the original reinforcing rib to define a scaling range. In addition, the constraint condition is that the weight is less than or equal to the target weight; the performance is more than or equal to the performance target value. The optimization objective is cost minimization.

The instrument board beam related to the embodiment of the disclosure is based on a steel-magnesium alloy-plastic multi-material mixed CCB, a practical structure optimization design method is provided by combining a magnesium alloy and plastic injection molding process, and finally, the CCB is designed to have the most cost performance based on comprehensive consideration of performance and cost.

In summary, in the embodiments of the present disclosure, the CCB beam main body is made of a steel-plastic mixed material, the steering column main support is made of a magnesium alloy, and other position supporting structures are made of engineering plastics.

According to the embodiment of the disclosure, a constraint model is obtained by acquiring a TB model and intercepting the TB model, wherein the interception is used for reserving an area affecting the performance of a beam of an instrument board, then a plurality of critical modes corresponding to the constraint model are identified according to the vibration mode, on the basis, comprehensive mode strain energy is determined based on the plurality of critical modes, and finally a weak link structure is determined according to the comprehensive mode strain energy, and the constraint model is optimized based on the weak link structure, so that a target model is obtained. According to the method and the device, the comprehensive modal strain energy is determined by utilizing the weight-related mode, and the constraint model is optimized based on the weak link structure obtained by the comprehensive modal strain energy, so that the optimization of the instrument panel beam can be more reasonably and efficiently realized. In addition, the design optimization of the instrument board beam can be more reasonably and efficiently performed through the TB state or the whole vehicle state model.

Fig. 3 is a block diagram of a dash cross-beam design apparatus 300, according to an example embodiment. Referring to fig. 3, the apparatus 300 for designing a dash cross-beam includes an acquisition module 310, an identification module 320, a determination module 330, and an optimization module 340.

The obtaining module 310 is configured to obtain a TB model, and perform an interception process on the TB model to obtain a constraint model, where the interception process is used to reserve a region affecting the performance of the dashboard cross beam;

the identifying module 320 is configured to identify a plurality of weighting modes corresponding to the constraint model according to the mode shape;

the determination module 330 is configured to determine an integrated modal strain energy based on the plurality of stress modes;

the optimization module 340 is configured to determine a weak link structure from the integrated modal strain energy and optimize the constraint model based on the weak link structure to obtain a target model.

In some implementations, the identification module 320 can include:

the correction submodule is configured to correct the constraint model to obtain a correction model;

and the identification sub-module is configured to identify a plurality of heavy-duty modes corresponding to the correction model according to the vibration mode.

In other embodiments, the correction submodule may be further configured to perform each order of modal identification on the constraint model to obtain a plurality of modes; and executing correction operation according to the characteristics of each mode to obtain the correction model.

In other embodiments, the correction submodule may be further configured to set a density of a structural material property of the mode to a first value and preserve elastic mode and stiffness characteristics if the mode is a local thin-wall class object; if the mode is a free edge or an object with insufficient constraint, deleting part of the free edge of the mode.

In other embodiments, the determining module 330 may include:

the mode acquisition sub-module is configured to acquire a first mode which does not meet a performance target in a plurality of the weight-related modes;

a strain energy determination sub-module configured to determine a weighting factor for the first mode and determine the integrated modal strain energy using the weighting factor.

In other embodiments, the optimization module 340 may include:

a building sub-module configured to build a first topology domain based on the weak link structure;

and the replacing sub-module is configured to replace the area corresponding to the weak link structure by using the first topological domain to obtain the target model.

In other embodiments, the target model includes a main beam of the instrument panel beam, and the instrument panel beam design apparatus 300 may further include:

and the reinforcing rib optimization module is configured to optimize the reinforcing rib of the groove-shaped area on the inner side of the main beam of the instrument panel beam to obtain a key reinforcing rib.

In other embodiments, the stiffener optimization module may include:

the arrangement sub-module is configured to uniformly arrange the reinforcing ribs to the main beam to a plurality of uniformly arranged reinforcing ribs;

And the selecting submodule is configured to select a first type of reinforcing rib from the plurality of uniformly arranged reinforcing ribs, delete the first type of reinforcing rib to obtain the key reinforcing rib, and the thickness of the first type of reinforcing rib is close to zero.

In other embodiments, the instrument panel cross beam design apparatus 300 may further include:

the unit selection module is configured to select all units of the reinforcement surface of each reinforcement of the target model;

the thickness calculation module is configured to calculate the average thickness of all the units of each rib surface through an adaptive equivalent thickness calculation formula;

and the updating module is configured to update the starting thickness of each rib face by using the average thickness.

In other embodiments, the adaptive equivalent thickness calculation formula is:

In other embodiments, the updating module may be further configured to optimize the starting thickness of each of the tendons based on an optimization objective, an optimization variable, and a constraint condition, wherein the optimization objective is a material cost, the optimization variable is the average thickness, the constraint condition is that a weight of the starting thickness is equal to or less than a target weight, and/or a modal performance is equal to or greater than a performance target value.

the node set establishing module is configured to establish a target node set according to the nodes at the outer edge of each reinforcing rib;

an execution module configured to perform a free-shape optimization operation for the set of target nodes.

The specific manner in which the various modules perform the operations in the apparatus of the above embodiments have been described in detail in connection with the embodiments of the method, and will not be described in detail herein.

The present disclosure also provides a computer-readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the steps of the method of designing a dashboard beam provided by the present disclosure.

Fig. 4 is a block diagram illustrating an electronic device 800 for performing a method of designing a dash cross-beam, according to an example embodiment. For example, the electronic device 800 may be a mobile phone, computer, digital broadcast terminal, messaging device, game console, tablet device, medical device, exercise device, personal digital assistant, or the like.

Referring to fig. 4, the electronic device 800 may include one or more of the following components: a processing component 802, a memory 804, a power component 806, a multimedia component 808, an audio component 810, an input/output interface 812, a sensor component 814, and a communication component 816.

The processing component 802 generally controls overall operation of the electronic device 800, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing component 802 may include one or more processors 820 to execute instructions to perform all or part of the steps of the methods described above. Further, the processing component 802 can include one or more modules that facilitate interactions between the processing component 802 and other components. For example, the processing component 802 can include a multimedia module to facilitate interaction between the multimedia component 808 and the processing component 802.

The memory 804 is configured to store various types of data to support operations at the electronic device 800. Examples of such data include instructions for any application or method operating on the electronic device 800, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 804 may be implemented by any type or combination of volatile or nonvolatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk.

The power supply component 806 provides power to the various components of the electronic device 800. The power components 806 may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for the electronic device 800.

The multimedia component 808 includes a screen between the electronic device 800 and the user that provides an output interface. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from a user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor may sense not only the boundary of a touch or slide action, but also the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 808 includes a front camera and/or a rear camera. When the electronic device 800 is in an operational mode, such as a shooting mode or a video mode, the front camera and/or the rear camera may receive external multimedia data. Each front camera and rear camera may be a fixed optical lens system or have focal length and optical zoom capabilities.

The audio component 810 is configured to output and/or input audio signals. For example, the audio component 810 includes a Microphone (MIC) configured to receive external audio signals when the electronic device 800 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may be further stored in the memory 804 or transmitted via the communication component 816. In some embodiments, audio component 810 further includes a speaker for outputting audio signals.

Input/output interface 812 provides an interface between processing component 802 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: homepage button, volume button, start button, and lock button.

The sensor assembly 814 includes one or more sensors for providing status assessment of various aspects of the electronic device 800. For example, the sensor assembly 814 may detect an on/off state of the electronic device 800, a relative positioning of the components, such as a display and keypad of the electronic device 800, the sensor assembly 814 may also detect a change in position of the electronic device 800 or a component of the electronic device 800, the presence or absence of a user's contact with the electronic device 800, an orientation or acceleration/deceleration of the electronic device 800, and a change in temperature of the electronic device 800. The sensor assembly 814 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. The sensor assembly 814 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 814 may also include an acceleration sensor, a gyroscopic sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

The communication component 816 is configured to facilitate communication between the electronic device 800 and other devices, either wired or wireless. The electronic device 800 may access a wireless network based on a communication standard, such as WiFi,2G, or 3G, or a combination thereof. In one exemplary embodiment, the communication component 816 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel. In one exemplary embodiment, the communication component 816 further includes a Near Field Communication (NFC) module to facilitate short range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, ultra Wideband (UWB) technology, bluetooth (BT) technology, and other technologies.

In an exemplary embodiment, the electronic device 800 may be implemented by one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic elements for executing the methods described above.

In an exemplary embodiment, a non-transitory computer readable storage medium is also provided, such as memory 804 including instructions executable by processor 820 of electronic device 800 to perform the above-described method. For example, the non-transitory computer readable storage medium may be ROM, random Access Memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, etc.

The electronic device may be a stand-alone electronic device or may be part of a stand-alone electronic device, for example, in one embodiment, the electronic device may be an integrated circuit (Integrated Circuit, IC) or a chip, where the integrated circuit may be an IC or a collection of ICs; the chip may include, but is not limited to, the following: GPU (Graphics Processing Unit, graphics processor), CPU (Central Processing Unit ), FPGA (Field Programmable Gate Array, programmable logic array), DSP (Digital Signal Processor ), ASIC (Application Specific Integrated Circuit, application specific integrated circuit), SOC (System on Chip, SOC, system on Chip or System on Chip), etc. The integrated circuit or chip may be configured to execute executable instructions (or code) to implement the method of designing a dash cross-beam described above. The executable instructions may be stored on the integrated circuit or chip or may be retrieved from another device or apparatus, such as the integrated circuit or chip including a processor, memory, and interface for communicating with other devices. The executable instructions may be stored in the memory, which when executed by the processor, implement the method of dashboard beam design described above; alternatively, the integrated circuit or chip may receive executable instructions through the interface and transmit the executable instructions to the processor for execution to implement the method for designing a dashboard beam described above.

In another exemplary embodiment, a computer program product is also provided, which comprises a computer program executable by a programmable apparatus, the computer program having code portions for performing the above-described method of designing a dashboard beam when executed by the programmable apparatus.

Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure. This disclosure is intended to cover any adaptations, uses, or adaptations of the disclosure following the general principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

It is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A method of designing an instrument panel cross beam, comprising:

2. The method for designing an instrument panel beam according to claim 1, wherein the identifying a plurality of off-weight modes corresponding to the constraint model according to the mode shapes includes:

correcting the constraint model to obtain a corrected model;

3. The method for designing an instrument panel beam according to claim 2, wherein said modifying the constraint model to obtain a modified model includes:

4. A method of designing an instrument panel beam according to claim 3, wherein said performing a correction operation based on the characteristics of each of said modes includes:

5. The method of designing an instrument panel beam according to claim 1, wherein the determining the integrated modal strain energy based on the plurality of stress modes comprises:

6. The method for designing an instrument panel beam according to claim 1, wherein the optimizing the weak link structure to obtain the target model includes:

constructing a first topological domain based on the weak link structure;

7. The method of designing an instrument panel beam according to any one of claims 1 to 6, wherein the object model includes a main beam of the instrument panel beam, the method further comprising:

8. The method for designing an instrument panel beam according to claim 7, wherein optimizing the stiffener in the main beam inner side channel region to obtain the key stiffener includes:

9. The method for designing an instrument panel cross beam according to any one of claims 1 to 6, further comprising:

10. The method for designing an instrument panel beam according to claim 9, wherein the adaptive equivalent thickness calculation formula is:

11. The method for designing an instrument panel beam according to claim 9, wherein updating the bead starting thickness of each of the bead surfaces with the average thickness includes:

12. The method of designing an instrument panel cross beam according to claim 9, the method further comprising:

a free shape optimization operation is performed for the set of target nodes.

13. A dash cross-beam design apparatus, comprising:

14. An electronic device, comprising:

a processor;

a memory for storing processor-executable instructions;

wherein the processor is configured to:

15. A computer readable storage medium having stored thereon computer program instructions, which when executed by a processor, implement the steps of the method of any of claims 1 to 12.