CN104239655A - Automobile hub lightweight design method - Google Patents
Automobile hub lightweight design method Download PDFInfo
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- CN104239655A CN104239655A CN201410543430.8A CN201410543430A CN104239655A CN 104239655 A CN104239655 A CN 104239655A CN 201410543430 A CN201410543430 A CN 201410543430A CN 104239655 A CN104239655 A CN 104239655A
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
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- Y02T10/10—Internal combustion engine [ICE] based vehicles
- Y02T10/40—Engine management systems
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Abstract
The invention discloses an automobile hub lightweight design method. The method comprises the steps of S1, establishing an automobile hub three-dimensional geometrical model and filling the spoke area of the geometrical model with materials; S2, establishing a hub topology optimization mathematical model and obtaining the optimal material distribution structure of a hub by means of topology optimization; S3, conducting secondary design and strength analysis in CAD software according to the hub structure subjected to topology optimization; S4, establishing an approximation model by means of the Latin square test sampling method and the response surface technology, and conducting size optimization on the hub subjected to secondary design by means of the evolution algorithm; S5, conducting strength verification on the optimized model. According to the method, conceptual design is conducted on the automobile hub firstly through topology optimization to obtain optimal material structure distribution of the automobile hub, then the approximation model is established by means of the Latin square testing method and the response surface technology with the strength of the hub as the restraint condition, detailed size optimization is conducted on the hub subjected to secondary design by means of the evolution algorithm, and then lightweight of the hub is realized.
Description
Technical field
The present invention relates to automotive light weight technology technology, particularly relate to a kind of light-weight design method of automotive hub.
Background technology
Wheel hub is an important component part in running car system, and the quality of its quality and performance directly affects the safety traffic of automobile, so particularly important to the research and development of wheel hub.Domestic Automotive Industry development is more late, and also there is a big difference compared with western developed country.China's Automobile Design mainly still relies on analogy and empirical method, and the production cycle so not only causing product is long, and design effect is poor, and adds labour intensity and cost, remedies difficulty to the defect problem of the appearance in later stage.State's inner wheel hub industry also gets prosperous with every passing day along with the development of auto industry, but a lot of wheel hub enterprises pay attention to equipment introduces, and ignores process modification and some gordian techniquies, only has minority producer to define oneself complete production system in conjunction with CAE technology.
Along with energy-saving and emission-reduction are increasingly urgent, automotive light weight technology becomes the new direction of automobile industry development.Light-weight design is under ensureing that automobile meets the prerequisite of basic use Rigidity and strength, carries out more optimal design to reach the object reducing vehicle weight to vehicle structure.The lightweight of automotive hub not only decreases materials'use and fuel consume, and the nonspring carried mass part reduced in suspension system will contribute to comfortableness and the ride comfort of automobile; Thus automotive hub light-weight design must be gone really.
Summary of the invention
In order to reach the light-weighted object of automotive hub, the technical solution adopted in the present invention is a kind of light-weight design method of automotive hub, comprises the following steps:
S1: set up automotive hub 3-D geometric model, fills up wheel hub geometric model spoke region material;
S2: set up automotive hub topological optimization mathematical model, utilizes topological optimization to obtain the optimal material structure distribution of wheel hub;
S3: according to the wheel hub structure after topological optimization, carries out Secondary Design and carries out finite element analysis in CAD software;
S4: utilize latin square experiment method and response surface technology to set up approximate model, carry out dimensionally-optimised in conjunction with evolution algorithm to the wheel hub after Secondary Design;
S5: finite element strength checking is carried out to the final mask after optimizing.
Only wheel hub spoke region material is filled up after setting up 3-D geometric model in described step S1.
In described step S2, with the flexibility of wheel hub minimum (rigidity is maximum) for target, volume fraction, as confining part mathematical model, finds the best distribution of material in given modelling territory.Hexahedral mesh division is carried out to automotive hub and determines design section and the Non-design region of wheel hub.Carry out hexahedral mesh when dividing, first draw the grid in wheel rim region, then to spoke region through row subdivision.Spoke district is on average split into six parts by six bolts hole according to spoke region, divides, then carries out image copying, finally carry out node stitching and quality check to ready-portioned grid to one of them part.
In described step S3, with the physical dimension after topological optimization for reference, in CAD software, set up the 3-D geometric model that automotive hub is new, can delete in process of establishing the labyrinth of wheel hub performance without impact.Finite element analysis checking is carried out to the wheel hub model established, sees and whether meet requirement of strength.If met the demands, see and can carry out detailed light-weight design.
In described step S4, establish the design variable of hub size optimization, target and constraint.The design mainly carries out lightweight detailed design to wheel hub spoke part, so the length scale choosing the spoke thickness of automotive hub, spoke width and spoke rectangular opening is design variable, the lightest for target with wheel hub quality, with wheel hub intensity for constraint, objective function can be described as:
minm(x
1,x
2,x
3)
x
1∈[d
1,l
1],x
2∈[d
2,l
2],x
3∈[d
3,l
3]
σ≤σ
p
In formula, m is wheel hub quality; x
1, x
2, x
3be respectively spoke thickness, spoke width and spoke rectangular opening length, their unit is mm; σ is the intensity level of housing, σ
pfor the working strength value of wheel hub.
Utilize optimal Latin hypercube experimental technique to carry out 30 groups of samplings to sample, respectively 3-D geometric model set up to 30 groups of sampled datas and carries out finite element analysis, obtaining emulated data.According to the data obtained, polynomial response surface method is utilized to set up approximate model to the intensity of wheel hub and quality and check whether approximate model meets accuracy requirement, if met, carry out evolution algorithm optimizing, the optimizing result according to evolution algorithm re-establishes 3-D geometric model; If do not met, re-establish approximate model.
Described evolution algorithm is using standard genetic algorithm as framework, and adopt binary coding, population number is 30, and with sequencing selection method alternatively, with uniform crossover as cross method, crossing-over rate is 0.5, and aberration rate is 0.01.
Owing to have employed technique scheme, the light-weight design method of a kind of automotive hub provided by the invention, by topological optimization, conceptual design in early stage is carried out to automotive hub, obtain the optimal material structure distribution of automotive hub, then with the intensity of wheel hub for constraint condition, utilize latin square experiment method and response surface technology to set up approximate model, in conjunction with evolution algorithm, detailed dimensions optimization is carried out to the wheel hub after Secondary Design, thus reach the light-weighted object of wheel hub.And method disclosed by the invention also has following beneficial effect:
1, adopt CAE technology to carry out design in early stage and detailed design respectively to automotive hub, not only decrease life cycle of the product, and decrease labour intensity and cost, the defect problem occurred in the later stage is easily remedied.
2, adopt Approximate Model Method to carry out in this method dimensionally-optimised, not only can obtain higher precision but also can counting yield be improved.
Accompanying drawing explanation
Below by way of drawings and the specific embodiments, the present invention is described in detail.
Fig. 1 process flow diagram of the present invention.
Embodiment
Below in conjunction with accompanying drawing, the invention will be further described.The concrete implementation step of the present invention:
S1: set up automotive hub 3-D geometric model, fills up wheel hub geometric model spoke region material;
S2: set up automotive hub topological optimization mathematical model, utilizes topological optimization to obtain the optimal material structure distribution of wheel hub;
S3: according to the wheel hub structure after topological optimization, carries out Secondary Design and carries out finite element analysis in CAD software;
S4: utilize latin square experiment method and response surface technology to set up approximate model, carry out dimensionally-optimised in conjunction with evolution algorithm to the wheel hub after Secondary Design;
S5: finite element strength checking is carried out to the final mask after optimizing.
Embodiment 1
Embodiments of the invention are implemented under premised on technical solution of the present invention, give detailed embodiment and concrete operating process, but protection scope of the present invention are not limited to following embodiment.Example sample is the 3-D geometric model set up according to certain car model wheel hub physical size.
Concrete implementation step is:
Step 1: set up 3-D geometric model according to certain car model wheel hub physical size in CAD software, then the spoke region material of wheel hub is filled up.
Step 2: with the flexibility of wheel hub minimum (rigidity is maximum) for target, volume fraction is as constraint, in given modelling territory, find the best distribution founding mathematical models of material, hexahedral mesh division is carried out to previous step automotive hub and determines design section and the Non-design region of wheel hub.Carry out hexahedral mesh when dividing, first draw the grid in wheel rim region, then to spoke region through row subdivision.Spoke district is on average split into six parts by six bolts hole according to spoke region, divides, then carries out image copying, finally carry out node stitching and quality check to ready-portioned grid to one of them part.
Step 3: with the physical dimension after second step topological optimization for reference, sets up the 3-D geometric model that automotive hub is new in CAD software, can delete the labyrinth of wheel hub performance without impact in process of establishing.Carry out finite element analysis checking to the wheel hub model established, the wheel hub after Secondary Design meets requirement of strength, and there is design margin, can carry out next step detailed dimensions design.
Step 4: establish the design variable of hub size optimization, target and constraint.The design mainly carries out lightweight detailed design to wheel hub spoke part, so the length scale choosing the spoke thickness of automotive hub, spoke width and spoke rectangular opening is design variable, the lightest for target with wheel hub quality, with wheel hub intensity for constraint, objective function can be described as:
minm(x
1,x
2,x
3)
x
1∈[5,12],x
2∈[35,44],x
3∈[40,50]
σ≤240MPa
In formula, m is wheel hub quality; x
1, x
2, x
3be respectively spoke thickness, spoke width and spoke rectangular opening length, their unit is mm; σ is the intensity level of housing.
Then utilize optimal Latin hypercube experimental technique to carry out 30 groups of samplings to sample, respectively 3-D geometric model set up to 30 groups of sampled datas and carries out finite element analysis, obtaining emulated data.According to the data obtained, polynomial response surface method is utilized to set up approximate model to the intensity of wheel hub and quality and check whether approximate model meets accuracy requirement, if met, carry out evolution algorithm optimizing, using standard genetic algorithm as framework, adopt binary coding, population number is 30, with sequencing selection method alternatively, with uniform crossover as cross method, crossing-over rate is 0.5, and aberration rate is 0.01.Through 780 iteration, it is x that value obtains last average optimum results for 50 times
1=8.0038mm, x
2=35.0235mm, x
3=46.1932mm; Re-establish 3-D geometric model, if do not met, re-establish approximate model.
Step 5 carries out intensive analysis checking by re-establishing 3-D geometric model importing finite element software according to the optimizing result of evolution algorithm.The intensity of empirical tests automotive hub under two kinds of operating modes all meets the demands.End product is as shown in table 1
Result after the optimization of two kinds, table 1
| ? | x 1(mm) | x 2(mm) | x 3(mm) | m(kg) |
| Former wheel hub | -- | -- | -- | 8.50 |
| After topological optimization | 11 | 44 | 40 | 7.12 |
| After dimensionally-optimised | 8 | 35 | 46 | 6.72 |
Conceptual phase wheel hub alleviates 1.38kg as shown in Table 1, and detailed design phase alleviates 0.4kg again.Altogether alleviate 1.78kg, alleviate 20.94% than original hub weight, reach satisfied lightweight result.
The above; be only the present invention's preferably embodiment; but protection scope of the present invention is not limited thereto; anyly be familiar with those skilled in the art in the technical scope that the present invention discloses; be equal to according to technical scheme of the present invention and inventive concept thereof and replace or change, all should be encompassed within protection scope of the present invention.
Claims (5)
1. a light-weight design method for automotive hub, is characterized in that: its step is as follows:
S1: set up automotive hub 3-D geometric model and geometric model spoke region material is filled up;
S2: set up automotive hub topological optimization mathematical model, utilizes topological optimization to obtain the optimal material structure distribution of wheel hub;
S3: according to the wheel hub structure after topological optimization, carries out Secondary Design and carries out finite element analysis in CAD software;
S4: utilize latin square experiment method and response surface technology to set up approximate model, carry out dimensionally-optimised in conjunction with evolution algorithm to the wheel hub after Secondary Design;
S5: finite element strength checking is being carried out to the final mask after optimizing.
2. the light-weight design method of a kind of automotive hub according to claim 1, is characterized in that: the detailed process of described step S2 is as follows:
S21: minimum for target with the flexibility of wheel hub, volume fraction, as constraint, sets up its mathematical model, finds the best distribution of material in given modelling territory;
S22: hexahedral mesh division is carried out to automotive hub and determines design section and the Non-design region of wheel hub; When carrying out hexahedral mesh division, first draw the grid in wheel rim region, then subdivision is carried out to spoke region; Spoke district is on average split into six parts by six bolts hole according to spoke region, divides, then carries out image copying, finally carry out node stitching and quality check to ready-portioned grid to one of them part.
3. the light-weight design method of a kind of automotive hub according to claim 1, is characterized in that: the detailed process of described step S3 is as follows:
S31: with the physical dimension after topological optimization for reference, sets up the 3-D geometric model that automotive hub is new in CAD software, deletes the labyrinth of wheel hub performance without impact in process of establishing;
S32: carry out finite element analysis checking to the wheel hub model established, if meet the demands, can checking carry out detailed light-weight design.
4. the light-weight design method of a kind of automotive hub according to claim 1, is characterized in that: the detailed process of described step S4 is as follows:
S41: establish the design variable of hub size optimization, target and constraint;
The length scale choosing the spoke thickness of automotive hub, spoke width and spoke rectangular opening is design variable, the lightest for target with wheel hub quality, and with wheel hub intensity for constraint, objective function is defined as:
minm(x
1,x
2,x
3)
x
1∈[d
1,l
1],x
2∈[d
2,l
2],x
3∈[d
3,l
3]
σ≤σ
p
In formula, m is wheel hub quality; x
1, x
2, x
3be respectively spoke thickness, spoke width and spoke rectangular opening length, their unit is mm; σ is the intensity level of housing, σ
pfor the working strength value of wheel hub;
S42: utilize optimal Latin hypercube experimental technique to carry out 30 groups of samplings to sample;
S43:30 group sampled data is set up 3-D geometric model respectively and is carried out finite element analysis, obtains emulated data; According to the data obtained, polynomial response surface method is utilized to set up approximate model to the intensity of wheel hub and quality and check whether approximate model meets accuracy requirement, if met, carry out evolution algorithm optimizing, result according to carrying out evolution algorithm optimizing re-establishes 3-D geometric model, if do not met, re-establishes approximate model.
5. the light-weight design method of a kind of automotive hub according to claim 1 or 4, it is characterized in that: the evolution algorithm in described step S4 is using standard genetic algorithm as framework, adopt binary coding, with sequencing selection method alternatively, with uniform crossover as cross method, crossing-over rate is 0.5, and aberration rate is 0.01.
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Cited By (16)
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|---|---|---|---|---|
| CN104699915A (en) * | 2015-03-25 | 2015-06-10 | 大连大学 | Gearbox lightweight design method based on improved particle swarm optimization algorithm |
| CN106021834A (en) * | 2016-08-10 | 2016-10-12 | 江苏科技大学 | Method for optimizing fairlead |
| CN106326592A (en) * | 2016-08-31 | 2017-01-11 | 浙江金固股份有限公司 | Design method for lightweight steel wheel |
| CN106650124A (en) * | 2016-12-28 | 2017-05-10 | 谢亿民工程科技（常州）有限公司 | Continuum surface lightweighting method based on finite element result |
| CN107679343A (en) * | 2017-10-31 | 2018-02-09 | 吉林大学 | Continuous lod same with thermosetting compound material chair framework optimization method |
| CN109598023A (en) * | 2018-11-02 | 2019-04-09 | 东风汽车车轮随州有限公司 | A kind of high-strength wheel spoke architecture design method |
| CN109800461A (en) * | 2018-12-19 | 2019-05-24 | 北京航空航天大学 | Crucial gabarit parameter optimization method and device for tire construction light-weight design |
| CN110096844A (en) * | 2019-05-22 | 2019-08-06 | 湖北汽车工业学院 | The aerodynamic characteristic optimum design method of Non-smooth surface vehicle table automobile |
| CN110210077A (en) * | 2019-05-14 | 2019-09-06 | 清华大学 | Optimization Response surface meth od and device based on key item screening strategy |
| CN110376059A (en) * | 2019-07-11 | 2019-10-25 | 上海理工大学 | Structure whole audience lightweight quantitative evaluation method based on static strength |
| CN110489907A (en) * | 2019-08-27 | 2019-11-22 | 中车株洲电力机车有限公司 | A kind of optimum design method of rail traffic vehicles car body digital prototype |
| CN111324980A (en) * | 2020-01-21 | 2020-06-23 | 重庆长安汽车股份有限公司 | Lightweight hierarchical optimization design method for automobile structure |
| CN113361020A (en) * | 2021-08-06 | 2021-09-07 | 四川大学 | Tooth rail motor car floor light-weight design method combining bionic design |
| CN113492301A (en) * | 2021-08-04 | 2021-10-12 | 六和轻合金（昆山）有限公司 | Production process of lightweight automobile aluminum alloy hollow control arm |
| CN116127820A (en) * | 2023-04-13 | 2023-05-16 | 镇江同立橡胶有限公司 | Rubber track structure topology optimization system based on lightweight technology |
| CN117574552A (en) * | 2024-01-15 | 2024-02-20 | 中信戴卡股份有限公司 | Optimized integrated design method for wheels |
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| CN104699915A (en) * | 2015-03-25 | 2015-06-10 | 大连大学 | Gearbox lightweight design method based on improved particle swarm optimization algorithm |
| CN104699915B (en) * | 2015-03-25 | 2017-07-11 | 大连大学 | A kind of gearbox light-weight design method based on improvement particle cluster algorithm |
| CN106021834A (en) * | 2016-08-10 | 2016-10-12 | 江苏科技大学 | Method for optimizing fairlead |
| CN106326592A (en) * | 2016-08-31 | 2017-01-11 | 浙江金固股份有限公司 | Design method for lightweight steel wheel |
| CN106326592B (en) * | 2016-08-31 | 2019-11-05 | 浙江金固股份有限公司 | A kind of design method of Lightweight steel wheel |
| CN106650124A (en) * | 2016-12-28 | 2017-05-10 | 谢亿民工程科技（常州）有限公司 | Continuum surface lightweighting method based on finite element result |
| CN106650124B (en) * | 2016-12-28 | 2020-04-28 | 谢亿民工程科技（常州）有限公司 | Finite element result-based surface lightening method for continuum |
| CN107679343A (en) * | 2017-10-31 | 2018-02-09 | 吉林大学 | Continuous lod same with thermosetting compound material chair framework optimization method |
| CN107679343B (en) * | 2017-10-31 | 2020-09-01 | 吉林大学 | Optimization method of continuous fiber reinforced thermosetting composite material seat framework |
| CN109598023A (en) * | 2018-11-02 | 2019-04-09 | 东风汽车车轮随州有限公司 | A kind of high-strength wheel spoke architecture design method |
| CN109800461A (en) * | 2018-12-19 | 2019-05-24 | 北京航空航天大学 | Crucial gabarit parameter optimization method and device for tire construction light-weight design |
| CN110210077A (en) * | 2019-05-14 | 2019-09-06 | 清华大学 | Optimization Response surface meth od and device based on key item screening strategy |
| CN110096844A (en) * | 2019-05-22 | 2019-08-06 | 湖北汽车工业学院 | The aerodynamic characteristic optimum design method of Non-smooth surface vehicle table automobile |
| CN110376059B (en) * | 2019-07-11 | 2021-11-19 | 上海理工大学 | Static strength-based structure full-field lightweight quantitative evaluation method |
| CN110376059A (en) * | 2019-07-11 | 2019-10-25 | 上海理工大学 | Structure whole audience lightweight quantitative evaluation method based on static strength |
| CN110489907A (en) * | 2019-08-27 | 2019-11-22 | 中车株洲电力机车有限公司 | A kind of optimum design method of rail traffic vehicles car body digital prototype |
| CN110489907B (en) * | 2019-08-27 | 2023-07-11 | 中车株洲电力机车有限公司 | Optimal design method of digital prototype of rail transit vehicle body |
| CN111324980A (en) * | 2020-01-21 | 2020-06-23 | 重庆长安汽车股份有限公司 | Lightweight hierarchical optimization design method for automobile structure |
| CN111324980B (en) * | 2020-01-21 | 2022-08-09 | 重庆长安汽车股份有限公司 | Lightweight hierarchical optimization design method for automobile structure |
| CN113492301A (en) * | 2021-08-04 | 2021-10-12 | 六和轻合金（昆山）有限公司 | Production process of lightweight automobile aluminum alloy hollow control arm |
| CN113361020A (en) * | 2021-08-06 | 2021-09-07 | 四川大学 | Tooth rail motor car floor light-weight design method combining bionic design |
| CN116127820A (en) * | 2023-04-13 | 2023-05-16 | 镇江同立橡胶有限公司 | Rubber track structure topology optimization system based on lightweight technology |
| CN117574552A (en) * | 2024-01-15 | 2024-02-20 | 中信戴卡股份有限公司 | Optimized integrated design method for wheels |
| CN117574552B (en) * | 2024-01-15 | 2024-03-15 | 中信戴卡股份有限公司 | Optimized integrated design method for wheels |
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Application publication date: 20141224 |