CN107330172A - White body modularity based on modular product family platform - Google Patents
White body modularity based on modular product family platform Download PDFInfo
- Publication number
- CN107330172A CN107330172A CN201710467593.6A CN201710467593A CN107330172A CN 107330172 A CN107330172 A CN 107330172A CN 201710467593 A CN201710467593 A CN 201710467593A CN 107330172 A CN107330172 A CN 107330172A
- Authority
- CN
- China
- Prior art keywords
- module
- vehicle
- design
- optimization
- cost
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/15—Vehicle, aircraft or watercraft design
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/17—Mechanical parametric or variational design
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/23—Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]
Landscapes
- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Geometry (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Evolutionary Computation (AREA)
- Computer Hardware Design (AREA)
- Pure & Applied Mathematics (AREA)
- Mathematical Optimization (AREA)
- Mathematical Analysis (AREA)
- Computational Mathematics (AREA)
- Aviation & Aerospace Engineering (AREA)
- Automation & Control Theory (AREA)
- Automobile Manufacture Line, Endless Track Vehicle, Trailer (AREA)
Abstract
The invention belongs to automobile body-in-white field of structural design, it is related to a kind of white body modularity based on modular product family platform.Conceptual phase of the present invention in white body, on the premise of considering body performance and cost, introduce the modularization idea for improving parts sharing degree in product family, optimizing is levied by carrying out guarantor to the coding in the topological diagram corresponding to Structural Assembly Model, Pedicled multi-layer facelifting optimization is carried out with reference to genetic algorithm, the module in product family between same level vehicle or even across rank vehicle is realized to share, the general geological coodinate system of parts is improved on the premise of body performance is ensured, each side cost is greatly reduced.The present invention provides a kind of auto-body assembly mentality of designing based on modularization idea for just considering to realize that parts are shared in the Auto-Body Conceptual design phase for designer, there is more important realistic meaning during realizing the auto-body assembly optimization design to whole product family, this method improvement reverse to vehicle body and Top-Down Design.
Description
Technical field
The present invention relates to a kind of across rank vehicle based on modular product family platform used in conceptual phase is white
Body structure Module Division and the method for screening, belong to vehicle body design technical field, are mainly used at design initial stage to same production
The body structure of complete set vehicle carries out the design of module segmentation and assembling mode under product race.
Background technology
As developing year by year for science and technology is increasingly mature with economic environment, world-class automobile vendor is in global integration
Trend under, start use modular research and development pattern, and then reduce production, manufacture, maintenance so transport of materials cost, contracting
The design R&D cycle of short new model, while the different consumer groups can also be met by way of customization not even with consumption individual
Diversified demand, be that enterprise brings huge advantage.At present, even had become based on the Novel platform that modular technology is developed
The main selling point of each vehicle of in the market.However, the modular technology of Domestic Automotive Industry is started late, modularized design ability
It is low to become a big bottleneck of limitation Domestic Automotive Industry development.
Automobile Body Design can be divided into two stages of conceptual design and detailed design.Wherein, conceptual phase determines whole
The arrangement and structural behaviour of car, determine 70% overall cost;And vehicle platform strategic advantage is to realize height
The component universality and body structure expansibility of degree.Therefore, the thought based on modularized design, manufacture and production is in concept
Design phase should just introduce.
The content of the invention
The present invention considers multinomial body performance index, the hair proposed before inventor in conceptual phase
On the basis of bright method (patent No. CN105787221A), a kind of body-in-white structure based on modularized production manufacture is proposed
Module trim designs method, on the premise of body structure properties are ensured, the assembling based on modular manufacture is carried out to vehicle body
Structure is divided, and each module is sorted out and screened further according to calculation optimization result, providing one kind for designer realizes white car
The thinking of body modularized design.
Technical scheme:
White body modularity based on modular product family platform, step is as follows:
(1) Optimized model of single vehicle is set up:On the basis of the inventive method (patent No. CN105787221A) of proposition
On, to every single vehicle founding mathematical models under identical product race.Not influence to describe hereinafter, it is briefly described as follows:
By white body model in coordinate system on the basis of, respectively in X-direction and Y-direction (bottom plate) and Y-direction and Z-direction
(gusset) is done if taking, and white body piecemeal is divided into some daughter boards and Zi Liang according to these points;With the subassembly after piecemeal
For node, annexation is side, wherein building topology relation G=(V, E), V={ V between subassembly1, V2..., Vp...,
VP, E={ E1, E2..., Eq..., EQ}.In formula, { V1, V2..., Vp..., VPA group node is represented, P node is had,
P is node serial number, { E1, E2..., Eq..., EQOne group of side is represented, Q bars side is had, q is the numbering on side;One group is defined by two
System variable γqSplit vector γ=(γ to artwork G of composition1, γ2..., γq..., γQ):Work as γqFor 0 when represent
Side E in topological relationqIt is removed, represents that the side retains when being 1, then split vector γ can be used to express a kind of assembling mode;
Using γ as design variable, body stiffness, manufacturing cost, assembly cost optimize for optimization aim, and object function is respectively:
FBody stiffness=displacement (G (V, E (γ)))
Body stiffness function F in formulaBody stiffnessWith the FEM model result of calculation of topological diagram G (V, E (γ)) counter structure
Dominant bit in-migration is weighed:Displacement is bigger, and i.e. malformation is bigger, then rigidity is smaller;Comp (k, G (V, E (γ))) represents vehicle knot
K-th of subassembly after structure is divided according to G (V, E (γ)) in model;Die area is smaller, represents the manufacturing cost of the subassembly
FManufacturing costLower, number of welds is fewer, the assembly cost F of representative structureAssembly costIt is lower.Then Optimized model is corresponded to:
Optimized model is multi-objective optimization question, and optimization independent variable is a binary vector being made up of 0 and 1, is not required to
Want special cataloged procedure directly can optimize calculating using genetic algorithm, iteration population and iterative algebra need to pass through several
Determined after secondary tentative calculation according to convergence situation.According to correlative study, filial generation can be set to parent for general engineering optimization
Replacement rate be 50%, crossover probability 90%, mutation probability 10%, and being no more than with population average fitness function change rate
3% is the condition of convergence.By tentative calculation, to general vehicle, population scale is 200, and iterative algebra is that can meet receipts in 100 generations
Hold back requirement.By optimization, the optimal assembling mode of single vehicle can be obtained;
(2) guarantor is carried out on the basis of single vehicle Optimized model and levies optimizing, realized and consider many moneys simultaneously in product family
The trim designs of vehicle.
The optimization of assembling structure is carried out to each bicycle vehicle, and optimum results are compared.Expand single vehicle
Population scale in Optimized model, enter with ensure different automobile types carry out parallel optimization when often for population in have enough dresses
Distribution structure is identical or only the different individual of part occurs (passing through multiple tentative calculation, population scale should at least reach that single vehicle is excellent
Change 3-4 times in model).These individuals are chosen as the initial solution of next iteration, until optimization convergence;For n vehicle,
M segment structures are divided into, are made up of per segment structure α subassembly, then every section of assembling mode will be determined by (2 α -1) individual coding, i.e., Optimized model is:
In formulaThe assembling mode for representing two vehicle relevant positions is compared, and 0 is counted when the two is identical, is differed
Meter 1, thenIt is smaller that to represent assembling structure more close;Protected by being chosen between the population of different models
Solution is levied, the design of the assembling scheme based on modularization idea of multiple models is realized.
(3) completing the body structure parts of trim designs as module and will be sorted out.In the inventive method, by mould
Block is divided into following four classes and carries out Stepwise Screening:
Parameter module:The module redesigned is needed when new model is designed;
General module:General module can be carried out between all vehicles;
Flexible module:But need to carry out the module of local directed complete set;
Personality module:Not generally applicable module between general between similar vehicle, inhomogeneity vehicle.
(4) personality module is chosen first:According to vehicle classification and body structure feature, personality module can be directly selected;
(5) next Selecting All Parameters module:When carrying out new model design by prototype vehicle of certain vehicle, it can enter in multiple positions
Row dimensional variations.According to assembling result, coordinate points u=(u of each module on weight design direction is chosenmin, umax), u=in formula
X, y, z, uminFor the min coordinates value on correspondence direction, umaxFor maximum coordinate value among;For two adjacent module R and R+1, such as
Fruit has uR max> uR+1 min, then in this direction, vehicle chi can be changed by changing module R and R+1 size by having one
Very little position.If uR max=uR+1 min, then can be by only changing one in the module R or R+1 change to realize overall dimensions of a car
It is dynamic.If three modules are adjacent, and deposit while there is uR max> uR+1 min, uR+1 max> uR+2 min, uR max> uR+2 min, then it is right
Body structure when relevant position carries out dimensional variations, it is necessary to change R simultaneously, tri- modules of R+1 and R+2;Thus, it is possible to find out
The position that body dimensions can be adjusted and in requisition for the module being modified.When manufacturing new model, choose different
Adjustment position can increase different fringe costs, and conceptual phase mainly considers manufacturing cost FManufacturing costAnd FAssembly cost.Due to this
When size change it is not too large and may not know, therefore with body performance function FBody stiffnessVerified as constraint, it is desirable to
Meet predefined rigidityThe minimum position of fringe cost is chosen as main and weighs design section, in requisition for change
Module is parameter module.If the position can not meet performance requirement, return is reselected.Then Optimized model can be represented
For:
(6) flexible module is finally selected;All modules do not screened of constraint are general module, i.e., each design parameter has
tVehicle 1=tVehicle 2=...=tVehicle n.Each vehicle is optimized under present confinement, optimization aim is maximization car weightModule quality (Comp k) and body performance FBody stiffness.Two optimization mesh are set according to designer's demand
Target selection is interval and optimal solution, and with design requirementAndBe compared, according to the situation of solution and
ΔStValue discharges its tVehicle 1=tVehicle 2=...=tVehicle nConstraint (i.e. design parameter is without corresponding in other vehicles again
Parameter is consistent):If the optimum results of certain vehicle And extremely
It is rare one=invalid (if two=set up, met requirement), then discharge Δ S in the vehicletIt is minimum
Module corresponding to design parameter constraint, the module turn into flexible module;, whereas if the optimum results of certain vehicleAnd at least one=invalid, then discharge Δ StHighest module
Corresponding design parameter constraint, the module turns into flexible module.After change constraint, into next round iteration, until all cars
Type meets design requirement, and remaining non-selected module is general module, is finally completed the screening of all categories module.
The present invention is due to taking above technical scheme, with advantages below:1st, the present invention is based on body performance, assembling and makes
This is caused to carry out the division of assembling structure to body-in-white structure, while considering the dress across rank vehicle shared based on module
Distribution structure dividing condition, realizes the production family design based on modular platform;2nd, the division result to assembling structure is carried out
The classification and screening of module, further determine that and improve the shared situation of vehicle body parts;3rd, the present invention is compared to sensitivity
Method, is no longer limited by parameter concertina type production family design, but furthermore achieved that the module configuration of module is exchanged in standardization
Type production family design, is more suitable for the existing Manufacturing Models of each Automobile Enterprises.
Brief description of the drawings
Fig. 1 is the lower three kinds of example vehicles of identical product race that modularized design is carried out using the inventive method, wherein:
Fig. 1 (a) is the body-in-white structure of certain three-box car type;
Fig. 1 (b) is the body-in-white structure of certain wing-rooms on either side of a one-story house vehicle;
Fig. 1 (c) is the body-in-white structure of certain SUV vehicle.
Fig. 2 is the white body bottom plate model that the present invention implements optimization design, wherein:
Fig. 2 (a) is the white body bottom plate of the less three-box car type of size and wing-rooms on either side of a one-story house vehicle;
Fig. 2 (b) is the white body bottom plate of larger-size SUV vehicles.
Fig. 3 is that the corresponding topological connection relation figure after pre-segmentation is carried out to bottom plate using the inventive method, wherein:
Fig. 3 (a) is three-box car type topological diagram corresponding with the bottom plate of wing-rooms on either side of a one-story house vehicle;
Fig. 3 (b) is the bottom plate correspondence topological diagram of SUV vehicles.
Fig. 4 is three kinds of assembling modes being likely to occur based on modular manufacturing mode.
Fig. 4 (a) is the floor extension in the way of add module;
Fig. 4 (b) is the floor extension in the way of stretching module;
Fig. 4 (c) be simultaneously in the way of stretching module and add module floor extension.
Fig. 5 is the floor module partitioning scheme obtained using the inventive method, wherein:
Fig. 5 (a) is the bottom plate dividing mode of three-box car type and wing-rooms on either side of a one-story house vehicle;
Fig. 5 (b) is the bottom plate dividing mode of SUV vehicles.
Fig. 6 is the assembling division result of body side wall and resets timing change in size position.
Fig. 7 is the design for applying the inventive method to obtain after whole crew module, wherein:
Fig. 7 (a) is the module design of three-box car type;
Fig. 7 (b) is the module design of wing-rooms on either side of a one-story house vehicle;
Fig. 7 (c) is the module design of SUV vehicles.
Embodiment
Below in conjunction with the accompanying drawings and technical scheme, further illustrate that the present invention is described in detail.
Three railway carriage or compartments (Fig. 1 a) as shown in Figure 1 respectively in identical product race, three sections of cars of wing-rooms on either side of a one-story house (Fig. 1 b) and SUV (Fig. 1 c)
Type, the wherein wheelbase of three-box car type and wing-rooms on either side of a one-story house vehicle quite, SUV vehicles compared to another two vehicle size it is bigger, axial difference away from
Up to 300mm.The inventive method is mainly used in traditional " across the rank " vehicle larger to such size difference in figure
Carry out the trim designs based on modular manufacturing.For less " same level " vehicle of size disparity, by the inventive method according to
Actual conditions carry out simplifying application.
Manufacturing cell's pre-segmentation of white body bottom plate is carried out according to actual manufacture, assembly technology level, according to body structure
Symmetry can only using left half vehicle body as research object, by taking bottom plate as an example, split situation as in Fig. 2 red chain-dotted line shown in.
Car body model X-axis in a coordinate system and Y direction choose appropriate cut-point respectively and divide vehicle body respectively along both direction
X sections and y sections are segmented into, then pre-segmentation unit has (x × y) block.By controlling x and y quantity to control bottom plate pre-segmentation block
Number.For across rank vehicle, pre-segmentation unit would generally differ x blocks in y-direction to 2x blocks.
The structure chart that each vehicle bottom plate is carried out after pre-segmentation is converted into corresponding topological connection relation figure, topological diagram
The annexation between the correspondence each unit of side in vertex correspondence pre-segmentation unit, topological diagram.According to X-axis and Y-axis direction according to
Secondary to be numbered, unit integrates sequencing numbers as V1, V2..., VP, annexation integrates sequencing numbers as E1,E2,…,EQ, k work songs portion
Four apex coordinates of part areA, b, c, d are daughter board four sections clockwise
Point numbering, x, y, z is apex coordinate.One-to-one topological model is set up to each vehicle to be studied in product family according to this,
As shown in figure 3, wherein Fig. 3 a are the bottom plate topological relation figure of wing-rooms on either side of a one-story house vehicle and three-box car type, Fig. 3 b open up for the bottom plate of SUV vehicles
Flutter graph of a relation.
For practical structures, the annexation of a part has two kinds of possibility:Punching press and separated punching are carried out as overall
Pressure is welded again.In topological diagram, in the presence of the side of two nodes is connected, represent two pieces of pre-segmentation units and belong to together in a part
Portion, in the absence of weld seam;When the side for connecting two nodes is not present, the separated rear welding of two pieces of pre-segmentation units is represented, is existed
Weld seam.As can be seen here, it can become according to split vector of the array being made up of one group 0,1 variable as structure and measure 1 in topological diagram
When represent corresponding sides exist, represent that side is not present when taking 0.The individual of genetic algorithm is compiled this group of array is calculated as optimization simultaneously in
Code.
The Auto-Body Conceptual design phase needs the structural behaviour index considered at least to need comprising body stiffness, and (influence drives sense
By, NVH performances and security performance etc.), assembling capacity (influence manufacture difficulty, assembly cost and structural reliability etc.), Yi Jike
Three aspects of manufacturing (assessing manufacture risk and cost).It is right using these three performance indications as optimization aim in the inventive method
The assembling mode of structure is solved.The appraisal procedure of property indices is:
1. body stiffness:Under the same load using FEM model in predefine displacement at node and assess, deformation is got over
Greatly, rigidity is poorer;
2. manufacturability:With die area approximate estimation manufacturing cost, the die area of k-th of subassembly is approximately:
3. assembling capacity:Approximately weighed, spot pitch is set as 30mm in this method, then understood in structure with number of welds
The number of welds of l-th of weld seam is:(y to) or
(x to).
The design is converted into multi-objective optimization question mathematically, then position and topological diagram of the optimized variable for cut-point
In each side connection, be constrained to content, target in terms of the cutting unit size being related in actual manufacture, rigidity, cost
Function is converted to above-mentioned three performance indications:
FBody stiffness=min { displacement (G (V, E (γ))) }
Several vehicles involved in design are optimized according to the Optimized model.With reference to suitable for multiple-objection optimization
The evolutionary programming algorithm of problem is calculated, and can obtain optimal Pareto disaggregation, and each individual that solution is concentrated is a segmentation
Vector, corresponds to a kind of bottom plate partitioning scheme.In one group of split vector, each section of coding by the or 1 of γ=0 can be corresponded to
For a kind of assembling mode of correspondence position.As shown in figure 4, E6-E12Three kinds of various combinations can correspond to three kinds of this section of bottom plate
Different assembling modes, the coding of other parts is constant, can ensure that corresponding component is general between several different assembling modes.
Due to generally one section of floor module of difference, therefore asking for module sharing degree can be carried out in this way between across rank vehicle
Solution.After optimization disaggregation is tried to achieve to each vehicle, concentrated in solution and select the consistent individual of local feature, then therefrom basis is set
Meter demand chooses final result, then can realize that module is shared between across rank vehicle.Fig. 5 is resulting result.
The auto-body assembly mode based on modularized design can be obtained using the above method, but in parts to be assembled, which
It can be shared a bit, which, which can not be shared, still can not determine.Therefore, the inventive method further provides point of several modules
Class and corresponding screening technique.It is to calculate obtained one kind according to the method described above to be based on module by taking gusset as shown in Figure 6 as an example
Change the assembling mode of design., can be right on the premise of keeping overall structure constant when as with reference to new model design is carried out
Certain several module therein are changed.If desired for extension shaft away from both effect can be reached by changing module 2,3, and replaceable
Module 4,5, and other modules are constant.In view of the requirement of body structure performance, some modules are also needed to thicken and are thinned.Cause
This, module can be roughly divided into four classes:There is the parameter mould of large variation between different automobile types in visibly different personality module, size
Block, general module without any change, the flexible module for only changing thickness of slab.Wherein, general module and flexible module are belonged to
Sharing module, personality module can be shared between same major class vehicle difference subdivision vehicle, such as three-box car type special module.
Parameter module can not be shared between any vehicle substantially, extra cost highest;Personality module generally can be
Carry out general shared under same major class vehicle between different subdivision vehicles, extra cost is higher;Flexible module is only needed to punching press
The cavity plate or punch-pin of mould carry out fine tune modification, and extra cost is relatively low;General module can be used by all vehicles, volume
Outer cost is minimum.
Using proposing above based on the result obtained after modular design method, individual character mould can be directly found out according to the observation
Block, it is not necessary to the method for research screening personality module.
Parameter module is the module for needing to be redesigned and be replaced when designing new model, therefore, in screening ginseng
, should be to change manufacturing cost and assembly cost during module as optimization aim during numberization module, body performance is constraint, that is, is being protected
On the premise of card body performance does not lose, make cost minimum.Involved change in size position is to more when being designed according to vehicle
Change the mold the corresponding cost of block and carry out priority ranking, and pay the utmost attention to the position of low cost and carry out module replacing, that is, be set as ginseng
Digital-to-analogue block.As in Fig. 6, when being changed in vehicle body wheelbase direction, can respectively changed from tetra- positions of I, II, III, IV,
When being changed in bodywork height direction, it can be changed from two positions of i, ii.Axial III directions and height i directions difference
Cost minimum position during to change module in both direction, then it is axial parameter module to pay the utmost attention to module 4,5, and 1,2,4 is
Highly to parameter module.
, it is necessary to carry out a suboptimization respectively to each vehicle after the minimum module of cost is chosen as parameterized module,
See whether disclosure satisfy that performance and car weight requirement.If can not meet, need to choose the next to the lowest module conduct of cost again
Parameter module, carries out single-type optimization again, the like, required until optimum results are met.
Determine after personality module and parameter module, then need to filter out flexible module again, remaining is sharing module.Right
Body structure has been carried out after the replacing it of parameter module, and flexible module is mainly used on thickness and local detail carries out a part
Adjustment, rigidity and light-weighted requirement are met in the hope of new model.Therefore, the performance indications in terms of body stiffness, weight are main
To be used for screening the standard of flexible module.
If remaining all parts are accordingly to be regarded as into general module after selection parameter module, in fact it could happen that two kinds are asked
Topic:1st, some vehicles are unsatisfactory for lightweight demand using causing car body weight heavier after the thicker general module of thickness;2nd, certain
Cause body performance poor after a little general modules of the vehicle using thinner thickness, be unsatisfactory for the requirement such as rigidity, intensity.For can
Both problems that can occur, the inventive method proposes the progressively release general module constraint of a kind of " weak constraint, strong target "
To the method for flexible module.In the part optimization problem, main constraint has two kinds:When carrying out parallel optimization between different automobile types
Platform constraints (constraint that same design parameter is consistent between different automobile types) and each vehicle optimization problem in performance about
Beam." weak constraint " refers to second, i.e., the constraint using body performance as function is weakened in optimization process, object function is regarded as
Optimized simultaneously with car body weight, further according to result, progressively release platform is constrained.
The problem of part works essentially consists in:Suitable parametric variable can not be selected to discharge as the design of flexible module
Variable, when multiple vehicles carry out parallel optimization, (screening of flexible module is not completed when different automobile types have unknown constraint
When need progressively to discharge constraint, i.e., also it is irrational constraint be present in model) carry out equality constraint under the more difficult control of optimization
, there is the difficulty in terms of convergence in system optimization direction.It is translated into using reduction constraint after object function again by discharging about
The method that beam optimizes the control in direction can obtain more wide disaggregation space, right the need for being more convenient according to designer
Optimization disaggregation is adjusted, while the variable that the release platform is constrained next time can be selected according to result after iteration every time, from
And realize the screening of soft readjustment module while strict guarantee body performance.
It is main according to Δ S in the inventive methodtSize enter the release of row constraint.ΔSt=S × Δ t, S is the module
Area, Δ t increased sheet metal thicknesses for needed for the module increases by 1 unit performance indications, as the sensitivity required by optimization current point
Function is obtained.ΔStIncreased material weight required for relative 1 specific stiffness is as provided.During using the inventive method, first
Current module to be screened is accordingly to be regarded as general module, i.e., same parts are consistent between all vehicles, then to each car
Type carries out parallel optimization, and is contrasted with performance when not considering modularized design.If the performance of a certain vehicle it is qualified but
Car weight is heavier can not to meet predetermined lightweight requirements, then by Δ S in the vehicletHigh parts screening is for flexible module and to this
Part carries out loss of weight, i.e., maximize loss of weight under the minimum cost of performance sacrifice, then optimize again to remaining zero
Part proceeds screening;If the car weight of a certain vehicle is compared with light but performance is unqualified, by Δ S in the vehicletLow parts
Screening for flexible module and to the part strengthens, i.e., the enhancing structure performance under the minimum cost of increase weight.It is so past
It is multiple, until all vehicles meet pre-provisioning request.
To three sections of vehicles in invention example, calculating is optimized according to above method successively, a kind of design side is can obtain
Formula is as shown in fig. 7, wherein Fig. 7 (a) is three-box car pattern block design result, and Fig. 7 (b) is wing-rooms on either side of a one-story house model module design result, Fig. 7
(c) it is SUV model module design results.Blue portion in figure is general module, and RED sector is parameter module, yl moiety
For personality module, green portion is flexible module.The parts of optimization design share rate and lightweight result is as shown in table 1.Table
In it is visible, compared with the lightweight result of each vehicle single optimization, based on modularized design manufacture lightweight result have
Certain loss, but control below 10%, and shared rate has been improved to 40% or even 60%, can effectively less enterprise it is each
Aspect cost.
The modularized design result of table 1
Studied by above example, we have obtained a kind of white body piecemeal assembling side designed based on modular
Formula.This partitioned mode is improved same on the premise of meeting and optimizing body performance constraint, manufacturing cost, assembly cost
The versatility of parts between different product is individual in one product family, greatly reduces the sides such as automobile production manufacture, parts transport
The cost in face.The result can provide the scheme of a kind of or even a variety of body modulesization manufactures for designer, meet designer's raising
The demand of parts sharing degree.
Under instantly using modularization idea as the trend of main R&D direction, conceptual phase have in view of
On the premise of modularization R&D Approach carry out assembling structure design and optimization, and it is such research and development thought must be related to it is many
The exploitation of individual vehicle, and after directly affecting in considerably long product family's life cycle of enterprise from researching and developing to producing to
The time of all links of sale and cost.The design of conceptual phase requires designer's balance technological requirement, cost
The many factors such as control, structural behaviour, are reduced various to greatest extent while properties of product are ensured in each link
Cost.The inventive method provides a kind of new thinking in the Auto-Body Conceptual design phase for designer, realizes each in body structure
The segmentation of generic module, sort out and screen, can the accomplished module sharing mode based on whole product family, improve module and share
Degree, reduces cost, and this method all has great importance in vehicle body reverse engineer and Top-Down Design.
It is enumerated above instantiation and modular product family is realized based on modular design method to elaborate the present invention
The vehicle body design of platform, this few example are only used for the principle and embodiments thereof of the explanation present invention, rather than to the limit of the present invention
System, without departing from the spirit and scope of the present invention, one of ordinary skill in the art can also make more changes
Shape and improvement.Therefore all equivalent technical schemes all should belong to scope of the invention and be every claim institute of the present invention
Limit.
Claims (1)
1. a kind of white body modularity based on modular product family platform, it is characterised in that step is as follows:
(1) Optimized model of single vehicle is set up:
By white body model in coordinate system on the basis of, if taking and doing in X-direction and Y-direction and Y-direction and Z-direction respectively,
And white body piecemeal is divided into some daughter boards and Zi Liang according to these points;Using the subassembly after piecemeal as node, subassembly it
Between annexation be side, building topology relation G=(V, E), wherein V={ V1, V2..., Vp..., VP, E={ E1, E2...,
Eq..., EQ};In formula, { V1, V2..., Vp..., VPA group node is represented, P node is had, p is node serial number, { E1,
E2..., Eq..., EQOne group of side is represented, Q bars side is had, q is the numbering on side;One group is defined by binary variable γqComposition
Split vector γ={ γ to artwork G1, γ2..., γq..., γQ}:Work as γqFor 0 when represent side E in topological relationq
It is removed, represents that the side retains when being 1, then split vector γ is used for expressing a kind of assembling mode;Using γ as design variable, vehicle body
Rigidity, manufacturing cost, assembly cost optimize for optimization aim, and object function is respectively:
FBody stiffness=displacement (G (V, E (γ)))
Body stiffness function F in formulaBody stiffnessWith the maximum of the FEM model result of calculation of topological diagram G (V, E (γ)) counter structure
Displacement is weighed:Displacement is bigger, and i.e. malformation is bigger, then rigidity is smaller;Comp (k, G (V, E (γ))) represent complete vehicle structure by
K-th of subassembly after being divided according to G (V, E (γ)) in model;Die area is smaller, represents the manufacturing cost of the subassembly
FManufacturing costLower, number of welds is fewer, the assembly cost F of representative structureAssembly costIt is lower;Then Optimized model is corresponded to:
Optimized model is multi-objective optimization question, and optimization independent variable is a binary vector being made up of 0 and 1, uses heredity
Algorithm optimizes calculating, and iteration population and iterative algebra need to be after tentative calculations several times according to convergence situation determination;Set filial generation
Replacement rate to parent is 50%, crossover probability 90%, mutation probability 10%, and with population average fitness function change rate not
It is the condition of convergence more than 3%;By optimization, the optimal assembling mode of single vehicle is obtained;
(2) guarantor is carried out on the basis of single vehicle Optimized model and levies optimizing, realized and consider many money vehicles simultaneously in product family
Trim designs:
The optimization of assembling structure is carried out to each bicycle vehicle, and optimum results are compared;Expand single vehicle optimization
Population scale in model, enter with ensure different automobile types carry out parallel optimization when often for population in have enough assembling knots
Structure is identical or the only different individual of part occurs;These individuals are chosen as the initial solution of next iteration, until optimization is received
Hold back;For n vehicle, m segment structures are divided into, are made up of per segment structure α subassembly, then every section of assembling mode will be by (2 α -1)
Individual coding decision,
I.e. Optimized model is:
In formulaThe assembling mode for representing two vehicle relevant positions is compared, and 0 is counted when the two is identical, meter 1 is differed,
ThenIt is smaller that to represent assembling structure more close;Levied by choosing guarantor between the population of different models
Solution, realizes the design of the assembling scheme based on modularization idea of multiple models;
(3) completing the body structure parts of trim designs as module and will be sorted out, in the inventive method, by module point
For following four classes and carry out Stepwise Screening:
Parameter module:The module redesigned is needed when new model is designed;
General module:General module can be carried out between all vehicles;
Flexible module:But need to carry out the module of local directed complete set;
Personality module:Not generally applicable module between general between similar vehicle, inhomogeneity vehicle;
(4) personality module is chosen first:According to vehicle classification and body structure feature, personality module is directly selected;
(5) next Selecting All Parameters module:When carrying out new model design by prototype vehicle of certain vehicle, size is carried out in multiple positions
Change;According to assembling result, coordinate points u=(u of each module on weight design direction is chosenmin, umax), u=x, y, z in formula,
uminFor the min coordinates value on correspondence direction, umaxFor maximum coordinate value among;For two adjacent module R and R+1, if
uR max> uR+1min, then in this direction, overall dimensions of a car can be changed by changing module R and R+1 size by having one
Position;If uR max=uR+1min, then can be by only changing one in the module R or R+1 variation to realize overall dimensions of a car;If
There are three modules adjacent, and deposit while there is uR max> uR+1min, uR+1max> uR+2min, uR max> uR+2min, then body structure is existed
, it is necessary to change R simultaneously when relevant position carries out dimensional variations, tri- modules of R+1 and R+2;Thus, find out and body dimensions are carried out
The position of adjustment and in requisition for the module being modified;When manufacturing new model, difference can be increased by choosing different adjustment positions
Fringe cost, conceptual phase mainly considers manufacturing cost FManufacturing costAnd FAssembly cost;Because size change now will not be too
It is big and may not know, therefore with body performance function FBody stiffnessVerified as constraint, it is desirable to meet predefined rigidityThe minimum position of fringe cost is chosen as main weight design section, is parameter mould to the module in requisition for change
Block;If the position can not meet performance requirement, return is reselected;Then Optimized model is expressed as:
(6) flexible module is finally selected;All modules do not screened of constraint are general module, i.e., each design parameter has tVehicle 1=
tVehicle 2=...=tVehicle n;Each vehicle is optimized under present confinement, optimization aim is maximization car weightModule quality (Comp k) and body performance FBody stiffness;Two optimization mesh are set according to designer's demand
Target selection is interval and optimal solution, and with design requirementAndIt is compared, according to the situation and Δ of solution
StValue discharges its tVehicle 1=tVehicle 2=...=tVehicle nConstraint, i.e., design parameter without keep with relevant parameter in other vehicles again
Unanimously:If the optimum results of certain vehicle AndAnd at least one=no
Set up, if two=set up, requirement has been met, then has discharged Δ S in the vehicletDesign corresponding to minimum module
Restriction on the parameters, the module turns into flexible module;, whereas if the optimum results of certain vehicleAndAnd at least one=invalid, then discharge Δ StDesign parameter corresponding to highest module is about
Beam, the module turns into flexible module;It is remaining until all vehicles meet design requirement into next round iteration after change constraint
Non-selected module is general module, is finally completed the screening of all categories module.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710467593.6A CN107330172B (en) | 2017-06-20 | 2017-06-20 | Body-in-white module design method based on modular product family platform |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710467593.6A CN107330172B (en) | 2017-06-20 | 2017-06-20 | Body-in-white module design method based on modular product family platform |
Publications (2)
Publication Number | Publication Date |
---|---|
CN107330172A true CN107330172A (en) | 2017-11-07 |
CN107330172B CN107330172B (en) | 2020-07-14 |
Family
ID=60194427
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710467593.6A Active CN107330172B (en) | 2017-06-20 | 2017-06-20 | Body-in-white module design method based on modular product family platform |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN107330172B (en) |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110245447A (en) * | 2019-06-24 | 2019-09-17 | 中车大连机车车辆有限公司 | Body construction modularized design platform and design method |
CN110852000A (en) * | 2018-07-24 | 2020-02-28 | 上汽通用五菱汽车股份有限公司 | Vehicle body structure optimization method |
CN112889058A (en) * | 2018-10-05 | 2021-06-01 | 杰富意钢铁株式会社 | Method and device for analyzing sensitivity of vehicle body member, and method for determining material characteristics of vehicle body member |
CN114357609A (en) * | 2021-12-16 | 2022-04-15 | 东风汽车集团股份有限公司 | Method, system and medium for analyzing automobile platform architecture |
CN114407842A (en) * | 2022-02-18 | 2022-04-29 | 中国第一汽车股份有限公司 | Maintenance method for integrated die-casting part of vehicle body |
CN114707235A (en) * | 2022-03-10 | 2022-07-05 | 重庆长安汽车股份有限公司 | Method for designing schematic diagram of whole vehicle |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5794059A (en) * | 1990-11-13 | 1998-08-11 | International Business Machines Corporation | N-dimensional modified hypercube |
US20060137886A1 (en) * | 2004-04-05 | 2006-06-29 | Cano Miguel J | Transport pumper |
CN102012958A (en) * | 2010-12-29 | 2011-04-13 | 奇瑞汽车股份有限公司 | Method for designing automobile body structure layout |
CN103870623A (en) * | 2012-12-18 | 2014-06-18 | 南车青岛四方机车车辆股份有限公司 | Preprocessing template for vehicle model |
CN104318012A (en) * | 2014-10-21 | 2015-01-28 | 北京汽车股份有限公司 | Body-in-white weight reduction design method and device |
CN104392031A (en) * | 2014-11-13 | 2015-03-04 | 大连理工大学 | Design method of variable cross-section beam of automobile body in white |
US20150203215A1 (en) * | 2014-01-17 | 2015-07-23 | Eric T. Falangas | Early performance evaluation of conceptual flight and space vehicles |
CN105787221A (en) * | 2016-04-26 | 2016-07-20 | 大连理工大学 | Design and optimization method for baseplate of automobile body |
-
2017
- 2017-06-20 CN CN201710467593.6A patent/CN107330172B/en active Active
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5794059A (en) * | 1990-11-13 | 1998-08-11 | International Business Machines Corporation | N-dimensional modified hypercube |
US20060137886A1 (en) * | 2004-04-05 | 2006-06-29 | Cano Miguel J | Transport pumper |
CN102012958A (en) * | 2010-12-29 | 2011-04-13 | 奇瑞汽车股份有限公司 | Method for designing automobile body structure layout |
CN103870623A (en) * | 2012-12-18 | 2014-06-18 | 南车青岛四方机车车辆股份有限公司 | Preprocessing template for vehicle model |
US20150203215A1 (en) * | 2014-01-17 | 2015-07-23 | Eric T. Falangas | Early performance evaluation of conceptual flight and space vehicles |
CN104318012A (en) * | 2014-10-21 | 2015-01-28 | 北京汽车股份有限公司 | Body-in-white weight reduction design method and device |
CN104392031A (en) * | 2014-11-13 | 2015-03-04 | 大连理工大学 | Design method of variable cross-section beam of automobile body in white |
CN105787221A (en) * | 2016-04-26 | 2016-07-20 | 大连理工大学 | Design and optimization method for baseplate of automobile body |
Non-Patent Citations (3)
Title |
---|
侯文彬等: "Modular platform optimization in conceptual vehicle body design", 《STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION》 * |
侯文彬等: "模块化产品族的共享模块筛选方法", 《湖南大学学报(自然科学版)》 * |
侯文彬等: "模块化平台的模块划分及共享模块筛选方法", 《机械工程学报》 * |
Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110852000A (en) * | 2018-07-24 | 2020-02-28 | 上汽通用五菱汽车股份有限公司 | Vehicle body structure optimization method |
CN110852000B (en) * | 2018-07-24 | 2023-01-03 | 上汽通用五菱汽车股份有限公司 | Vehicle body structure optimization method |
CN112889058A (en) * | 2018-10-05 | 2021-06-01 | 杰富意钢铁株式会社 | Method and device for analyzing sensitivity of vehicle body member, and method for determining material characteristics of vehicle body member |
EP3862903A4 (en) * | 2018-10-05 | 2021-12-08 | JFE Steel Corporation | Automotive body part sensitivity analysis method and device, and automotive body part material property determination method |
CN112889058B (en) * | 2018-10-05 | 2024-08-13 | 杰富意钢铁株式会社 | Method and device for analyzing sensitivity of vehicle body component, and method for determining material characteristics of vehicle body component |
CN110245447A (en) * | 2019-06-24 | 2019-09-17 | 中车大连机车车辆有限公司 | Body construction modularized design platform and design method |
CN114357609A (en) * | 2021-12-16 | 2022-04-15 | 东风汽车集团股份有限公司 | Method, system and medium for analyzing automobile platform architecture |
CN114407842A (en) * | 2022-02-18 | 2022-04-29 | 中国第一汽车股份有限公司 | Maintenance method for integrated die-casting part of vehicle body |
CN114707235A (en) * | 2022-03-10 | 2022-07-05 | 重庆长安汽车股份有限公司 | Method for designing schematic diagram of whole vehicle |
CN114707235B (en) * | 2022-03-10 | 2024-07-23 | 重庆长安汽车股份有限公司 | Design method of whole vehicle schematic diagram |
Also Published As
Publication number | Publication date |
---|---|
CN107330172B (en) | 2020-07-14 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN107330172A (en) | White body modularity based on modular product family platform | |
EP3463819B1 (en) | Systems and methods for additive manufacturing of transport structures | |
CN110008553B (en) | Product design scheme optimization method based on life cycle cost and environmental influence | |
CN113591230B (en) | Multi-objective optimization method for commercial vehicle cab based on beam section | |
CN107403272A (en) | Support the product configuration method and system of multi-stage platform | |
CN108920780A (en) | A kind of Body structure optimization design method based on strain energy | |
Hou et al. | Modular platform optimization in conceptual vehicle body design via modified graph-based decomposition algorithm and cost-based priority method | |
CN114065387A (en) | Frame optimization method and device, computer equipment and storage medium | |
CN111291857A (en) | Complex system module partitioning method based on system, function and structure layering | |
CN110378437A (en) | A kind of product module classification method for considering change propagation and influencing | |
CN115600421A (en) | Construction method and device and medium of autonomous traffic system evolution model based on improved Petri network | |
CN105667633B (en) | Money vehicle body structure design method is changed based on trunk door variation in moulding | |
Alkhalefah et al. | Development of an efficient prediction model for optimal design of serial production lines | |
CN118195557B (en) | Collaborative optimization method for configurable order placement product family design and pipeline configuration design | |
CN105787221A (en) | Design and optimization method for baseplate of automobile body | |
Asaga et al. | Modularization Method Based on New Layout Design in Conceptual Design Stage-Application of Multi-material Lightweight Structures Utilizing Machine Learning | |
Jamil et al. | Framework to Reduce Cost Scrapping and Cost of Assemble Test Capacity in Semiconductor Integrated Circuit Manufacturing | |
CN110210678B (en) | Optimization method for mobile source emission standard upgrade path | |
CN115964959B (en) | Domain centralized electronic and electric architecture modeling and multi-objective optimization method and system | |
Verma et al. | Conveyer-Less Matrix Assembly Layout Design to Maximize Labor Productivity and Footprint Usage | |
CN115907513A (en) | Evaluation method for coordination relationship between built-up environment and traffic system running state | |
JP2001142867A (en) | Learning type recognizing and judging device | |
CN116757082A (en) | Vehicle acoustic material transmission loss prediction method based on deep learning | |
CN118364962A (en) | Optimization method for rebalancing and buffer zone capacity configuration of automobile final assembly interior trim production line | |
CN113361770A (en) | Variance-covariance combination-based taxi passenger flow prediction method |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |