CN104318012A - Body-in-white weight reduction design method and device - Google Patents
Body-in-white weight reduction design method and device Download PDFInfo
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Abstract
The invention provides a body-in-white weight reduction design method and device. The method includes: establishing a full-load-based vehicle many-body dynamics model of a target vehicle type; using the model to acquire load of a target-typed body-in-white under each limited condition; using the loads under the limited conditions as input for a finite element model of the target-typed body-in-white, and using all portions, except the front end, the rear end and a top beam, of the body-in-white as optimization areas; using thicknesses of parts in the optimization areas as design variables, using the loads under the limited conditions as boundary conditions, using a synthetic compliance index as response, aiming at lightest weight of the body-in-white, and using the finite element model to perform optimization design to obtain optimization results. The method and the device have the advantages that overall modal stiffness of the body-in-white is considered, local rigidity of stress points is also considered, and the weight reduction optimization design of the body-in-white is well achieved.
Description
Technical field
The present invention relates to Automobile Design technology, particularly relate to a kind of body in white weight reduction design method and device.
Background technology
In the process of automobile R & D design, when ensureing body stiffness, intensity, the quality how reducing body in white is a research direction.
In prior art, usually carry out optimal design body in white with bending, torsion and mode combinational acting.But, adopt prior art only can meet the demand of integral rigidity, do not consider the local stiffness of application point under real load effect, can not well realize body in white quality optimization.
Summary of the invention
The invention provides a kind of body in white weight reduction design method and device, for realizing the quality optimization of body in white.
First aspect present invention provides a kind of body in white weight reduction design method, comprising:
Set up the multi-body dynamics automobile model of target vehicle based on fully loaded, wherein, the front axle of described whole vehicle model, rear axle load and car load height of center of mass meet pre-conditioned;
Described multi-body dynamics automobile model is adopted to obtain the load of described target vehicle body in white under multiple limiting condition respectively;
Using the input of the load under described multiple limiting condition as the finite element model of described target vehicle body in white, and using the part on described body in white except the front end of described body in white, rear end and top cross-bar as optimization region;
Using the thickness of each part in described optimization region as design variable, with the load under described multiple limiting condition for boundary condition, to be comprehensively obedient to index for response, the lightest for target with body in white quality, adopt described finite element model to be optimized design, obtain optimum results.
Second aspect present invention provides a kind of body in white loss of weight design apparatus, comprising:
Set up module, for setting up the multi-body dynamics automobile model of target vehicle based on fully loaded, wherein, the front axle of described whole vehicle model, rear axle load and car load height of center of mass meet pre-conditioned;
Acquisition module, obtains the load of described target vehicle body in white under multiple limiting condition respectively for adopting described multi-body dynamics automobile model;
Design module, for using the input of the load under described multiple limiting condition as the finite element model of described target vehicle body in white, and using the part on described body in white except the front end of described body in white, rear end and top cross-bar as optimization region;
Optimize module, for the thickness of each part using described optimization region as design variable, with the load under described multiple limiting condition for boundary condition, to be comprehensively obedient to index for response, the lightest for target with body in white quality, adopt described finite element model to be optimized design, obtain optimum results.
In body in white weight reduction design method provided by the invention and device, set up the multi-body dynamics automobile model of target vehicle based on being fully loaded with, above-mentioned multi-body dynamics automobile model is adopted to extract the load of body in white under multiple limiting condition respectively, and using the input of the load under above-mentioned multiple limiting condition as the finite element model of above-mentioned target vehicle body in white, by the front end except body in white on above-mentioned body in white, part outside rear end and top cross-bar is as optimization region, with the load under above-mentioned multiple limiting condition for boundary condition, to the thickness of each part in region be optimized as design variable, to be comprehensively obedient to index for response, the lightest for target with body in white quality, above-mentioned finite element model is adopted to be optimized design, obtain optimum results.Like this, both consider body in white Integral modes rigidity, considered again stress point local stiffness, achieve the loss of weight optimal design of body in white well.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is the schematic flow sheet of body in white weight reduction design method embodiment one provided by the invention;
Fig. 2 is the schematic flow sheet of body in white weight reduction design method embodiment two provided by the invention;
Fig. 3 is the structural representation of body in white loss of weight design apparatus embodiment one provided by the invention.
Embodiment
For making the object of the embodiment of the present invention, technical scheme and advantage clearly, below in conjunction with the accompanying drawing in the embodiment of the present invention, technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
Fig. 1 is the schematic flow sheet of body in white weight reduction design method embodiment one provided by the invention, and as shown in Figure 1, the method comprises:
S101, set up the multi-body dynamics automobile model of target vehicle based on fully loaded.Wherein, the front axle of this whole vehicle model, rear axle load and car load height of center of mass meet pre-conditioned.
Particularly, the front axle of different automobile types, rear axle load and car load height of center of mass are different, according to the concrete numerical value of optimized vehicle determination front axle, rear axle load and car load height of center of mass.
When setting up the multi-body dynamics automobile model of target vehicle based on fully loaded, first set up front suspension model and the rear suspension model of target vehicle.In order to ensure model accuracy, the front suspension model set up and rear suspension model and k & C test findings carry out school conjunction.
S102, above-mentioned multi-body dynamics automobile model whole vehicle model is adopted to obtain the load of target vehicle body in white under multiple limiting condition respectively.
More preferably, above-mentioned multi-body dynamics automobile model is adopted to extract the load of body in white under 11 limiting conditions respectively.Particularly, multiple limiting condition comprises: fully loaded, vertical direction acceleration 3.5g, longitudinal impact acceleration 2g, lateral impact acceleration 2g, turning acceleration 1.2g, longitudinal direction and side acceleration 0.74g brakeing during cornereing, braking acceleration 1.1g, plugging acceleration 1.0g, longitudinal acceleration 0.5g, longitudinal direction and side acceleration 0.45g turn accelerate, normal acceleration 1.75g time diagonal loading.Wherein, g is normal acceleration of gravity, is fully loaded with and refers to that vertical direction acceleration is 1g.
The load of body in white under otherwise limit operating mode, can be simulated by multi-body dynamics automobile model and obtain.Certainly, various ways can be had to obtain the load under otherwise limit operating mode, in this no limit.
S103, using the input of the load under above-mentioned multiple limiting condition as the finite element model of above-mentioned target vehicle body in white, and using the part except the front end except body in white on above-mentioned body in white, rear end and top cross-bar as optimization region.
Set up the finite element model of above-mentioned target vehicle body in white, using the load under above-mentioned multiple limiting condition as input, input this finite element model respectively.
It should be noted that, in order to avoid impact that is forward and backward and top collision, when determining the optimization region of target vehicle, not considering the front end of body in white, rear end and top cross-bar.
S104, using the thickness of each part in above-mentioned optimization region as design variable, with the load under above-mentioned multiple limiting condition for boundary condition, to be comprehensively obedient to index for response, the lightest for target with body in white quality, adopt above-mentioned finite element model to be optimized design, obtain optimum results.
It should be noted that, in order to reduce the number of design variable, during using the thickness of each part as design variable, for identical part, substituting into, all as same design variable without the need to repeating.Such as, getting symmetrical part is Same Part.
In the present embodiment, set up the multi-body dynamics automobile model of target vehicle based on being fully loaded with, above-mentioned multi-body dynamics automobile model is adopted to extract the load of body in white under multiple limiting condition respectively, and using the input of the load under above-mentioned multiple limiting condition as the finite element model of above-mentioned target vehicle body in white, by the front end except body in white on above-mentioned body in white, part outside rear end and top cross-bar is as optimization region, with the load under above-mentioned multiple limiting condition for boundary condition, to the thickness of each part in region be optimized as design variable, to be comprehensively obedient to index for response, the lightest for target with body in white quality, above-mentioned finite element model is adopted to be optimized design, obtain optimum results.Like this, both consider body in white Integral modes rigidity, considered again stress point local stiffness, achieve the loss of weight optimal design of body in white well.
Fig. 2 is the schematic flow sheet of body in white weight reduction design method embodiment two provided by the invention, as shown in Figure 2, based on the body in white weight reduction design method described in embodiment one, above-mentioned using the thickness of each part in above-mentioned optimization region as design variable, with the load under above-mentioned multiple limiting condition for boundary condition, be comprehensively obedient to index for response, the lightest for target with body in white quality, adopt above-mentioned finite element model to be optimized design, obtain optimum results, comprising:
S201, be comprehensively obedient to index for response, analyze each design variable to the sensitivity being comprehensively obedient to index.Wherein, be comprehensively obedient to index and adopt formula
represent, w
ifor the weight of each limiting condition in described multiple limiting condition, c
ifor described body in white being obedient to (compliance) under each limiting condition, w
jfor the weight of described body in white each rank mode, λ
jfor the frequency of described body in white model each rank mode, NORM be evaluate described load cause be obedient to the weight coefficient of being obedient to caused with described model frequency, i represents each load working condition, and j represents each rank mode.
Particularly, finite element model analysis can be set to sensitivity and export, just can analyze each design variable to the sensitivity being comprehensively obedient to index.
S202, according to above-mentioned sensitivity analysis result, obtain target part to be optimized.
Particularly, determine according to the sensitivity of each above-mentioned design variable N number of part that sensitivity is maximum from big to small, and determine according to the sensitivity of each above-mentioned design variable N number of part that sensitivity is minimum from small to large, obtain 2N target part.Namely the sensitiveest N number of part and the most insensitive N number of part is got.
Usually, N can get 10.
S203, using the thickness of above-mentioned target part to be optimized as target design variable, with the load under above-mentioned multiple limiting condition for boundary condition, to be comprehensively obedient to index for response, the lightest for target with body in white quality, adopt above-mentioned finite element model to be optimized design, obtain optimum results.Wherein, this optimum results comprises the thickness parameter of each target part to be optimized, above-mentioned be comprehensively obedient to index can get to mark vehicle value.
Particularly, adopt above-mentioned finite element model to be optimized design, change the thickness parameter of each target part to be optimized, obtain the preferred thickness parameter of each target part to be optimized, with when meeting body in white and being comprehensively obedient to index, reaching body in white quality is the lightest target.
Afterwards, intensive analysis can also be carried out to target vehicle, according to the result of intensive analysis, the thickness parameter of the target part each to be optimized of above-mentioned acquisition be finely tuned, to ensure the security of body in white.And the material of corresponding part is selected according to maximum stress.
Fig. 3 is the structural representation of body in white loss of weight design apparatus embodiment one provided by the invention, and as shown in Figure 3, this device comprises: set up module 301, acquisition module 302, design module 303 and optimize module 304.Wherein:
Set up module 301, for setting up the multi-body dynamics automobile model of target vehicle based on fully loaded, wherein, the front axle of described whole vehicle model, rear axle load and car load height of center of mass meet pre-conditioned.
Acquisition module 302, obtains the load of described target vehicle body in white under multiple limiting condition respectively for adopting described multi-body dynamics automobile model.
Design module 303, for using the input of the load under described multiple limiting condition as the finite element model of described target vehicle body in white, and using the part on described body in white except the front end of described body in white, rear end and top cross-bar as optimization region.
Optimize module 304, for the thickness of each part using described optimization region as design variable, with the load under described multiple limiting condition for boundary condition, to be comprehensively obedient to index for response, the lightest for target with body in white quality, adopt described finite element model to be optimized design, obtain optimum results.
It should be noted that, in order to reduce the number of design variable, during using the thickness of each part as design variable, for identical part, substituting into, all as same design variable without the need to repeating.Such as, getting symmetrical part is Same Part.
In the present embodiment, set up the multi-body dynamics automobile model of target vehicle based on being fully loaded with, above-mentioned multi-body dynamics automobile model is adopted to extract the load of body in white under multiple limiting condition respectively, and using the input of the load under above-mentioned multiple limiting condition as the finite element model of above-mentioned target vehicle body in white, by the front end except body in white on above-mentioned body in white, part outside rear end and top cross-bar is as optimization region, with the load under above-mentioned multiple limiting condition for boundary condition, to the thickness of each part in region be optimized as design variable, to be comprehensively obedient to index for response, the lightest for target with body in white quality, above-mentioned finite element model is adopted to be optimized design, obtain optimum results.Like this, both consider body in white Integral modes rigidity, considered again stress point local stiffness, achieve the loss of weight optimal design of body in white well.
Further, above-mentioned multiple limiting condition, comprising: fully loaded, vertical direction acceleration 3.5g, longitudinal impact acceleration 2g, lateral impact acceleration 2g, turning acceleration 1.2g, longitudinal direction and side acceleration 0.74g brakeing during cornereing, braking acceleration 1.1g, plugging acceleration 1.0g, longitudinal acceleration 0.5g, longitudinal direction and side acceleration 0.45g turn accelerate, the diagonal loading of normal acceleration when being 1.75g.
Optimize module 304, specifically for be comprehensively obedient to index for response, to analyze each described design variable to the described sensitivity being comprehensively obedient to index, obtain sensitivity analysis result, wherein, be describedly comprehensively obedient to index and adopt formula
represent, w
ifor the weight of each limiting condition in described multiple limiting condition, c
ifor described body in white being obedient to (compliance) under each limiting condition, w
jfor the weight of described body in white each rank mode, λ
jfor the frequency of described body in white model each rank mode, NORM be evaluate described load cause be obedient to the weight coefficient of being obedient to caused with described model frequency, i represents each load working condition, and j represents each rank mode; According to described sensitivity analysis result, obtain target part to be optimized; Using the thickness of described target part to be optimized as target design variable, with the load under described multiple limiting condition for boundary condition, to be comprehensively obedient to index for response, the lightest for target with body in white quality, adopt described finite element model to be optimized design, obtain optimum results, wherein, described optimum results comprises the thickness parameter of each described target part to be optimized, described be comprehensively obedient to index get to mark vehicle value.
Optimizing module 304, specifically for determining according to the sensitivity of each described design variable N number of part that sensitivity is maximum from big to small, and determining according to the sensitivity of each described design variable N number of part that sensitivity is minimum from small to large, obtain 2N target part.
This device is for performing preceding method embodiment, and it realizes principle and technique effect is similar, does not repeat them here.
In several embodiment provided by the present invention, should be understood that, disclosed apparatus and method, can realize by another way.Such as, device embodiment described above is only schematic, such as, the division of described unit, be only a kind of logic function to divide, actual can have other dividing mode when realizing, such as multiple unit or assembly can in conjunction with or another system can be integrated into, or some features can be ignored, or do not perform.Another point, shown or discussed coupling each other or direct-coupling or communication connection can be by some interfaces, and the indirect coupling of device or unit or communication connection can be electrical, machinery or other form.
The described unit illustrated as separating component or can may not be and physically separates, and the parts as unit display can be or may not be physical location, namely can be positioned at a place, or also can be distributed in multiple network element.Some or all of unit wherein can be selected according to the actual needs to realize the object of the present embodiment scheme.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, also can be that the independent physics of unit exists, also can two or more unit in a unit integrated.Above-mentioned integrated unit both can adopt the form of hardware to realize, and the form that hardware also can be adopted to add SFU software functional unit realizes.
The above-mentioned integrated unit realized with the form of SFU software functional unit, can be stored in a computer read/write memory medium.Above-mentioned SFU software functional unit is stored in a storage medium, comprising some instructions in order to make a computer equipment (can be personal computer, server, or the network equipment etc.) or processor (processor) perform the part steps of method described in each embodiment of the present invention.And aforesaid storage medium comprises: USB flash disk, portable hard drive, ROM (read-only memory) (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disc or CD etc. various can be program code stored medium.
Last it is noted that above each embodiment is only in order to illustrate technical scheme of the present invention, be not intended to limit; Although with reference to foregoing embodiments to invention has been detailed description, those of ordinary skill in the art is to be understood that: it still can be modified to the technical scheme described in foregoing embodiments, or carries out equivalent replacement to wherein some or all of technical characteristic; And these amendments or replacement, do not make the essence of appropriate technical solution depart from the scope of various embodiments of the present invention technical scheme.
Claims (8)
1. a body in white weight reduction design method, is characterized in that, comprising:
Set up the multi-body dynamics automobile model of target vehicle based on fully loaded, wherein, the front axle of described whole vehicle model, rear axle load and car load height of center of mass meet pre-conditioned;
Described multi-body dynamics automobile model is adopted to obtain the load of described target vehicle body in white under multiple limiting condition respectively;
Using the input of the load under described multiple limiting condition as the finite element model of described target vehicle body in white, and using the part on described body in white except the front end of described body in white, rear end and top cross-bar as optimization region;
Using the thickness of each part in described optimization region as design variable, with the load under described multiple limiting condition for boundary condition, to be comprehensively obedient to index for response, the lightest for target with body in white quality, adopt described finite element model to be optimized design, obtain optimum results.
2. method according to claim 1, it is characterized in that, described multiple limiting condition, comprising: fully loaded, vertical direction acceleration 3.5g, longitudinal impact acceleration 2g, lateral impact acceleration 2g, turning acceleration 1.2g, longitudinal direction and side acceleration 0.74g brakeing during cornereing, braking acceleration 1.1g, plugging acceleration 1.0g, longitudinal acceleration 0.5g, longitudinal direction and side acceleration 0.45g turn accelerate, normal acceleration 1.75g time diagonal loading.
3. method according to claim 1 and 2, it is characterized in that, described using the thickness of each part in described optimization region as design variable, with the load under described multiple limiting condition for boundary condition, to be comprehensively obedient to index for response, the lightest for target with body in white quality, adopt described finite element model to be optimized design, obtain optimum results, comprising:
To be comprehensively obedient to index for response, to analyze each described design variable to the described sensitivity being comprehensively obedient to index, obtain sensitivity analysis result, wherein, be describedly comprehensively obedient to index and adopt formula
represent, w
ifor the weight of each limiting condition in described multiple limiting condition, c
ifor described body in white being obedient under each limiting condition, w
jfor the weight of described body in white each rank mode, λ
jfor the frequency of described body in white model each rank mode, NORM be evaluate described load cause be obedient to the weight coefficient of being obedient to caused with described model frequency, i represents each load working condition, and j represents each rank mode;
According to described sensitivity analysis result, obtain target part to be optimized;
Using the thickness of described target part to be optimized as target design variable, with the load under described multiple limiting condition for boundary condition, to be comprehensively obedient to index for response, the lightest for target with body in white quality, adopt described finite element model to be optimized design, obtain optimum results, wherein, described optimum results comprises the thickness parameter of each described target part to be optimized, described be comprehensively obedient to index get to mark vehicle value.
4. method according to claim 3, is characterized in that, according to described sensitivity analysis result, obtains target part to be optimized, comprising:
Determine according to the sensitivity of each described design variable N number of part that sensitivity is maximum from big to small, and determine according to the sensitivity of each described design variable N number of part that sensitivity is minimum from small to large, obtain 2N target part.
5. a body in white loss of weight design apparatus, is characterized in that, comprising:
Set up module, for setting up the multi-body dynamics automobile model of target vehicle based on fully loaded, wherein, the front axle of described whole vehicle model, rear axle load and car load height of center of mass meet pre-conditioned;
Acquisition module, obtains the load of described target vehicle body in white under multiple limiting condition respectively for adopting described multi-body dynamics automobile model;
Design module, for using the input of the load under described multiple limiting condition as the finite element model of described target vehicle body in white, and using the part on described body in white except the front end of described body in white, rear end and top cross-bar as optimization region;
Optimize module, for the thickness of each part using described optimization region as design variable, with the load under described multiple limiting condition for boundary condition, to be comprehensively obedient to index for response, the lightest for target with body in white quality, adopt described finite element model to be optimized design, obtain optimum results.
6. device according to claim 5, it is characterized in that, described multiple limiting condition, comprising: fully loaded, vertical direction acceleration 3.5g, longitudinal impact acceleration 2g, lateral impact acceleration 2g, turning acceleration 1.2g, longitudinal direction and side acceleration 0.74g brakeing during cornereing, braking acceleration 1.1g, plugging acceleration 1.0g, longitudinal acceleration 0.5g, longitudinal direction and side acceleration 0.45g turn accelerate, the diagonal loading of normal acceleration when being 1.75g.
7. the device according to claim 5 or 6, is characterized in that, described optimization module, specifically for be comprehensively obedient to index for response, to analyze each described design variable to the described sensitivity being comprehensively obedient to index, obtain sensitivity analysis result, wherein, described be comprehensively obedient to index adopt formula
represent, w
ifor the weight of each limiting condition in described multiple limiting condition, c
ifor described body in white being obedient under each limiting condition, w
jfor the weight of described body in white each rank mode, λ
jfor the frequency of described body in white model each rank mode, NORM be evaluate described load cause be obedient to the weight coefficient of being obedient to caused with described model frequency, i represents each load working condition, and j represents each rank mode;
According to described sensitivity analysis result, obtain target part to be optimized;
Using the thickness of described target part to be optimized as target design variable, with the load under described multiple limiting condition for boundary condition, to be comprehensively obedient to index for response, the lightest for target with body in white quality, adopt described finite element model to be optimized design, obtain optimum results, wherein, described optimum results comprises the thickness parameter of each described target part to be optimized, described be comprehensively obedient to index get to mark vehicle value.
8. device according to claim 7, it is characterized in that, described optimization module, specifically for determining according to the sensitivity of each described design variable N number of part that sensitivity is maximum from big to small, and determine according to the sensitivity of each described design variable N number of part that sensitivity is minimum from small to large, obtain 2N target part.
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