CN103345550B - A kind of loss of weight optimization method of fascia board girder - Google Patents
A kind of loss of weight optimization method of fascia board girder Download PDFInfo
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- CN103345550B CN103345550B CN201310268121.XA CN201310268121A CN103345550B CN 103345550 B CN103345550 B CN 103345550B CN 201310268121 A CN201310268121 A CN 201310268121A CN 103345550 B CN103345550 B CN 103345550B
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Abstract
The invention discloses the loss of weight optimization method of a kind of fascia board girder, carry out cae analysis model by the existing dashboard cross member with reference to vehicle and calculate the mode factor δ-value of each part, each part is classified by the size according to δ-value, different loss of weight optimization methods is used again for different classes of part, finally by MCS NASTRAN software, the model after optimizing is analyzed checking, and then reaches the light-weight design to fascia board girder.The present invention passes through above-mentioned steps, it is possible to greatly facilitate designer to design for the optimization of fascia board girder, improves the efficiency of design, reduces design cost.
Description
Technical field
The present invention relates to the loss of weight optimization method of a kind of fascia board girder.
Background technology
The lightweight of automobile is for reducing oil consumption, and emissions-reducing plays vital effect, has become the study hotspot of domestic and international auto industry circle at present.Guaranteeing that on the basis of original performance, optimization designs each assembly parts, Continuous optimization vehicle spectrum is the dominant ideas of automotive light weight technology.Fascia board girder (is called for short CCB), and assembly is automobile dashboard system inner skeleton, play support instrument dash board system, the installation of parts in instrument panel syste is provided, the intensity increasing whole vehicle body is also had certain effect, is the connection support of instrument panel syste and body in white assembly.Invention describes the Optimization Design of a kind of dashboard cross member, alleviate the weight of dashboard cross member assembly, reach the target of automotive light weight technology.
Traditional fascia board girder designs to meet its performance requirement, part being strengthened simply, traditional method for designing not only time-consuming but also poor efficiency, and there is problems in that
(1) all parts are carried out reinforcement and there is no specific aim and directivity；
(2) all parts strengthened or weaken the irrational utilization causing material.
Summary of the invention
The purpose of the present invention, the Optimization Design being contemplated to solve the problems referred to above and provide a kind of fascia board girder, rapidly and efficiently fascia board girder can be optimized design based on original design parameter, thus reaching the loss of weight optimization of fascia board girder.
The object of the present invention is achieved like this:
The loss of weight optimization method of a kind of fascia board girder of the present invention, comprises the following steps:
The first step: read in the reference data of the fascia board girder before optimizing；
Second step: the dashboard cross member before optimizing is carried out model analysis, support Analysis on Static Stiffness, crash analysis draw optimization before the single order Integral modes frequency of fascia board girder, the Static stiffness value of each support and draw out impact curve, as the reference performance index of the fascia board girder evaluated after optimizing；
3rd step: carry out cae analysis model by the reference data of the fascia board girder before optimizing and calculate the mode factor δ-value of each parts constituting fascia board girder；
4th step: each part constituting fascia board girder is carried out category division according to the size of mode factor δ-value；
5th step: different classes of part is carried out loss of weight optimization by CATIA software；
6th step: by MSCNASTRAN software to optimize after fascia board girder be analyzed checking, by optimize after the single order Integral modes frequency of fascia board girder, each part install point Static stiffness value and impact curve compared with the reference performance index before optimization；
If the single order Integral modes frequency of fascia board girder after optimizing relatively optimize before reference performance index compare, its variable quantity declines within 5% or improves, part installs the Static stiffness value of point less than 1mm, or part install point Static stiffness value more than 1mm time with optimize before reference performance index compared with, its variable quantity declines within 5%, and identical with the impact curve movement tendency before optimization after optimizing, then reach designing requirement；
Otherwise, the 5th step is continued executing with.
The loss of weight optimization method of above-mentioned a kind of fascia board girder, wherein, in described 4th step, the classification of part is divided into frame member and non-frame member, frame member refers to the mode factor δ-value part more than 0.5, and non-frame member refers to the mode factor δ-value part less than or equal to 0.5.
The loss of weight optimization method of above-mentioned a kind of fascia board girder, wherein, in described 5th step, loss of weight optimization is mainly optimized from part thickness and geometry thereof, needs to pay close attention to the change of the Static stiffness of mode and installation point when wherein the loss of weight of frame member being optimized simultaneously；Need to pay close attention to the change of the Static stiffness installing some when non-frame member is optimized.
The present invention passes through above-mentioned steps, it is possible to greatly facilitate designer to design for the optimization of fascia board girder, improves the efficiency of design, reduces design cost.
Accompanying drawing explanation
Fig. 1 is the dashboard cross member analytical data schematic diagram reading in original vehicle；
Fig. 2 is the mode factor δ-value schematic diagram of each part on fascia board girder of the present invention；
Fig. 3 is each part classification schematic diagram on fascia board girder of the present invention；
Fig. 4 is that fascia board girder of the present invention optimizes front-end geometry contrast schematic diagram；
Fig. 5 is single order Integral modes frequency contrast schematic diagram before and after fascia board girder of the present invention optimizes；
Fig. 6 is the contrast schematic diagram of the Static stiffness value that point installed by each part before and after fascia board girder of the present invention optimizes；
Fig. 7 is CCB collision checking FEA side impact impact curve contrast schematic diagram before and after fascia board girder of the present invention optimizes；
Fig. 8 touches impact curve contrast schematic diagram before CCB collision checking FEA before and after fascia board girder optimization of the present invention.
Detailed description of the invention
Below in conjunction with accompanying drawing, the invention will be further described.
The invention discloses the Optimization Design of a kind of body of a motor car, comprise the steps:
The first step: read in the reference data of the fascia board girder before optimizing, as shown in Figure 1, for instance read in the dashboard cross member analytical data of original vehicle；
Second step: the dashboard cross member before optimizing is carried out model analysis, support Analysis on Static Stiffness, crash analysis draw optimization before fascia board girder single order Integral modes frequency, the Static stiffness value of point is installed and draws out impact curve figure, as the performance indications of the fascia board girder evaluated after optimizing；
3rd step: carry out cae analysis model by the reference data of the fascia board girder before optimizing and calculate the mode factor δ-value of each parts constituting fascia board girder, in dashboard cross member reference data shown in Fig. 1, the mode factor δ-value of each part is as shown in Figure 2；
4th step: according to the size of mode factor δ-value, each part constituting fascia board girder being carried out category division is frame member and non-component, frame member is the mode factor δ-value part more than 0.5, non-frame member refers to the mode factor δ-value part less than or equal to 0.5, in dashboard cross member reference data shown in Fig. 1, in Fig. 3, black part represents frame member, and white part represents non-frame member；
5th step: use different optimization designs to be optimized different classes of part by CATIA software, the bigger part of the mode factor (part thickness can be increased and its planform is increased some flange or reinforcement it is strengthened) can be strengthened for frame member when optimizing, weakening the less part of the mode factor (can reduce part thickness and to its planform simplification etc.), not only needing to pay close attention to each part during optimization on the impact of mode but also needs to pay close attention to the rigidity value installing point；Can be first thinning to part thickness when optimizing for non-frame member, then its planform is increased some flange by it or reinforcement it is strengthened, but need to pay close attention to the Static stiffness value of each part, its overall contrast structure is as shown in Figure 4；
6th step: the fascia board girder after optimizing is analyzed checking by MSCNASTRAN software, the single order Integral modes frequency of fascia board girder after optimizing, each part being installed the Static stiffness value of point and impact curve compared with the reference performance index before optimization, wherein Static stiffness value is chosen 50N deflection and is characterized:
If the single order Integral modes frequency of fascia board girder after optimizing relatively optimize before reference performance index compare, its variable quantity decline within 5% or improve (Fig. 5 illustrate fascia board girder optimize before and after single order Integral modes frequency contrast schematic diagram)；
Part installs the 50N deflection of point less than 1mm, or when part installs the 50N deflection of point more than 1mm, compared with the reference performance index before optimizing, its variable quantity declines within 5% (Fig. 6 illustrates that before and after fascia board girder optimization, the Static stiffness value (50N deflection) of each support contrasts schematic diagram)；And,
After optimization with optimize before impact curve movement tendency identical (Fig. 7 and Fig. 8 illustrate before and after fascia board girder optimization CCB collision checking FEA side impact and before touch impact curve contrast schematic diagram), then reach designing requirement；
Otherwise, the 5th step is continued executing with.
The present invention passes through above-mentioned steps, it is possible to reaches to alleviate the purpose of fascia board girder weight, meanwhile, also saves material, improve stock utilization, saved cost, meets the requirement of society automotive light weight technology.
Above example is used for illustrative purposes only, but not limitation of the present invention, person skilled in the relevant technique, without departing from the spirit and scope of the present invention, various conversion or modification can also be made, therefore all equivalent technical schemes also should belong to scope of the invention, should be limited by each claim.
Claims (3)
1. the loss of weight optimization method of a fascia board girder, it is characterised in that comprise the following steps:
The first step: read in the reference data of the fascia board girder before optimizing；
Second step: the dashboard cross member before optimizing is carried out model analysis, support Analysis on Static Stiffness, crash analysis draw optimization before the single order Integral modes frequency of fascia board girder, the Static stiffness value of each support and draw out impact curve, as the reference performance index of the fascia board girder evaluated after optimizing；
3rd step: carry out cae analysis model by the reference data of the fascia board girder before optimizing and calculate the mode factor δ-value of each parts constituting fascia board girder；
4th step: each part constituting fascia board girder is carried out category division according to the size of mode factor δ-value；
5th step: different classes of part is carried out loss of weight optimization by CATIA software；
6th step: by MSCNASTRAN software to optimize after fascia board girder be analyzed checking, by optimize after the single order Integral modes frequency of fascia board girder, each part install point Static stiffness value and impact curve compared with the reference performance index before optimization；
If the single order Integral modes frequency of fascia board girder after optimizing relatively optimize before reference performance index compare, its variable quantity declines within 5% or improves；Part installs the Static stiffness value of point less than 1mm, or when part installs the Static stiffness value of point more than 1mm compared with the reference performance index before optimizing, its variable quantity declines within 5%；And identical with the impact curve movement tendency before optimization after optimizing, then reach designing requirement；
Otherwise, the 5th step is continued executing with.
2. the loss of weight optimization method of a kind of fascia board girder as claimed in claim 1, it is characterized in that, in described 4th step, the classification of part is divided into frame member and non-frame member, frame member refers to the mode factor δ-value part more than 0.5, and non-frame member refers to the mode factor δ-value part less than or equal to 0.5.
3. the loss of weight optimization method of a kind of fascia board girder as claimed in claim 2, it is characterized in that, in described 5th step, loss of weight optimization is mainly optimized from part thickness and geometry thereof, needs to pay close attention to the change of the Static stiffness of mode and installation point when wherein the loss of weight of frame member being optimized simultaneously；Need to pay close attention to the change of the Static stiffness installing some when non-frame member is optimized.
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| CN103569213A (en) * | 2013-10-31 | 2014-02-12 | 富卓汽车内饰（安徽）有限公司 | Automobile instrument board cross beam assembly |
| CN106934117A (en) * | 2017-02-22 | 2017-07-07 | 江铃汽车股份有限公司 | Automobile instrument panel assembly optimization method |
| CN109710957B (en) * | 2017-10-26 | 2023-11-24 | 北京长城华冠汽车科技股份有限公司 | Multi-connecting-rod hinge stiffness optimization method and system |
| CN111222263B (en) * | 2019-10-31 | 2023-04-07 | 长春英利汽车工业股份有限公司 | Finite element simulation method for instrument board beam vibration test |
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