CN106096125A - One not uniform thickness tailor welded weld line optimization method - Google Patents

One not uniform thickness tailor welded weld line optimization method Download PDF

Info

Publication number
CN106096125A
CN106096125A CN201610402251.1A CN201610402251A CN106096125A CN 106096125 A CN106096125 A CN 106096125A CN 201610402251 A CN201610402251 A CN 201610402251A CN 106096125 A CN106096125 A CN 106096125A
Authority
CN
China
Prior art keywords
weld line
maximum
design
plate
model
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
Application number
CN201610402251.1A
Other languages
Chinese (zh)
Other versions
CN106096125B (en
Inventor
龚志辉
赵树武
韩磊
钟剑
石建兵
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hunan University
Original Assignee
Hunan University
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Hunan University filed Critical Hunan University
Priority to CN201610402251.1A priority Critical patent/CN106096125B/en
Publication of CN106096125A publication Critical patent/CN106096125A/en
Application granted granted Critical
Publication of CN106096125B publication Critical patent/CN106096125B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • G06F30/23Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
  • Geometry (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Automobile Manufacture Line, Endless Track Vehicle, Trailer (AREA)
  • Investigating Strength Of Materials By Application Of Mechanical Stress (AREA)

Abstract

The invention discloses a kind of being applicable to, based on mesh mapping and genetic algorithm, automobile tailor welded covering plate weld line is carried out the technique optimization method of reasonable Arrangement.The method comprises the steps, step one: set up phantom;Step 2: mesh mapping Inverse seeking design weld line initial threshold position on plate;Step 3: determine method for designing obtain sample number strong point: step 4: structure compound condition response surface model: step 5: solving-optimizing approximate model: step 6: according to Optimized model optimal solution combination carry out simulation analysis assay.Adjusting process state modulator weld line position deviation and the mode of production by artificial Experience Design plate weld line is relied on to compare compared with simple, by setting up phantom, method plate weld line shaped position being carried out process optimization by mesh mapping, Binding experiment, can improve tailor welded weld line stamping after positional precision, improve forming property.

Description

One not uniform thickness tailor welded weld line optimization method
Technical field
The invention discloses one to be applicable to based on mesh mapping and genetic algorithm automobile tailor welded covering plate Weld line carries out the technique optimization method of reasonable Arrangement.
Background technology
The steel plate splicing of unlike material different-thickness can be become a complete stamping blanks by laser assembly solder technology, is to realize One of important channel of body lightening, has obtained extensively application in vehicle body punching press field.During actual punching production, flat Can there is the change of shape and position with the plastic deformation of plate in weld line on plate blank material, produces drift, final and product Design weld line produces deviation, therefore needs to control the drift of weld line in punching course, is allowed to and designs the position of weld line Put deviation within the margin of tolerance.The drift controlling weld line at present has two ways, one to be by technology controlling and process, and adjustment is drawn Prolong muscle restraining forces and blank shape and control shape and the positional precision of final weld line.Due to strength-differential effect and blank shape Shape can form the biggest impact to the quality that punching press is final, and the actual effect that therefore method of technology controlling and process weld seam produces is very Limited.Another kind of method is on the premise of ensureing stamping parts quality, controls by adjusting the position of blank weld line The drift of weld line after shaping eventually, this method is highly effective, but is all the most substantially to be determined blank weld seam by experience at present The position of line, therefore there is no guarantee that the weld line drift control accuracy after shaping.Can fit in consideration of it, the present invention proposes one For automobile tailor welded covering plate weld line being carried out the process optimization of reasonable Arrangement based on mesh mapping and genetic algorithm Method, the method combines stamping simulation calculating, mesh mapping method and genetic algorithm butt welded seam wire shaped position and is optimized, Combine to rational plate, can effectively improve the positional precision of weld line after shaping, it is ensured that forming quality, reduce drip molding Produce the risk of defect.
Summary of the invention
The present invention comprises the steps of
Step 1: tentatively conventionally determine plate weld line shaped position, strike out for tailor welded part Shape simulation analysis;
Step 2: design meets binder surface and the process complementary surface that Sheet Metal Forming Technology requires, will extend to process complementary surface and overstock Form a complete weld line on drawing work model on charge level, extract the complete weld line on drawing work model, Complete design weld line according to extracting utilizes the initial threshold position that mesh mapping method reverse weld line is corresponding on plate Put;
Step 3: use test design method to obtain sample number with reverse weld line extreme position and design weld line hop count Strong point;
Step 4: according to sample point experimental result, constructs response surface model, determines that optimization aim, constraints become with design The polynomial response surface approximate function of amount;
Step 5: utilize genetic algorithm to carry out the genetic operation including selecting, intersect and make a variation, solve weld line position The optimal solution of Parametric optimization problem;
Step 6: optimized optimal solution by weld line location parameter and obtain tailor welded plate, substitute into stamping finite element software In calculate, inspection optimum results precision.
Further, in step 1, according to design butt welding piece model needs, weld line plane projection position determines weld line Shaped position and hop count, carry out simulation analysis, and under ensureing forming quality premise, obtain weld line maximum position deviation is simultaneously Mesh mapping reverse makees basis;
Further, in step 2, extract design weld line and discrete exist for dot grid mapping method Inverse seeking design weld line Initial threshold position corresponding on plate, in conjunction with the middle weld line normal orientation that designs a model, determines hop count and the limit of weld line Region.
Further, in step 3, reverse goes out weld line extreme position, selects suitable test design method, orthogonal experiment Design, latin square experiment design and uniform experiment design etc., it is thus achieved that about weld line in the position sample data of each end points Point, group of data points is combined into different weld line shaped positions.
Further, in step 4, the optimization aim of Optimized model is stamping rear product section weld line physical location With the maximum of design attitude deviation, make maximum position deviation value minimum;Constraints is that stamping gross requires Big reduction, maximum thicken rate and meet without cracking, ridging defect requirement, and wherein maximum reduction, maximum thicken rate bound and lead to Cross emulation and stock material performance parameter determines;Sample number strong point simulation result matching optimization aim and the multinomial of constraints Response surface model, concrete data model is:
F optimization aim is the minima of product section weld line maximum deviation;WiFor maximum reduction, RiFor increasing most Thick rate;ΔmaxRepresent weld line physical location and the deviation of design attitude after shaping;I is series sample point correspondence sequence number;A, b table It is shown as and ensures that good shaping is without the plate reduction minima ftractureed, maximum;C, d are expressed as ensureing well to shape without wrinkling plate Material thickens rate minima, maximum;
Further, in steps of 5, Quadratic response model construction sample point design variable is used to subtract with desired value and maximum Thin rate, maximum thicken the response surface model between rate two constraints, utilize genetic algorithm to carry out including selecting, intersecting and become The genetic operation of different grade, selects suitable iterations to solve design corresponding during the i.e. maximum position deviation minimum of optimal result and becomes Amount, obtains the combination of optimal plate weld line shaped position and weld line position maximum deviation minimizes.
Further, in step 6, new plate combination substitutes in finite element emulation software, product section after inspection shaping Weld line maximum position deviation and optimum results.
Accompanying drawing explanation
Fig. 1 is the implementing procedure schematic diagram of the inventive method.
Fig. 2 is for extracting product model weld line schematic diagram.
Fig. 3 is mesh mapping method reverse plate weld line origin pole extreme position schematic diagram.
Fig. 4 is that one or more snippets weld line specifically determines mode schematic diagram.
Fig. 5 is imitative automobile door plate model reverse weld line series sample point initial position schematic diagram.
Fig. 6 is traditional approach plate different from optimization method weld line forming simulation weld line position deviation schematic diagram.
Fig. 7 traditional approach and optimization method plate weld line simulation analysis and full-scale investigation result schematic diagram table.
Fig. 8 traditional approach and optimization method plate weld line full-scale investigation result schematic diagram.
Detailed description of the invention
Below in conjunction with accompanying drawing and instantiation, embodiment is illustrated:
Fig. 1 is the implementing procedure schematic diagram of the inventive method.
Fig. 2 is for extracting product model weld line schematic diagram.After hole etc. is processed by tailor welded parts product design model After supplementing binder surface process complementary surface part, total model, extracts total weld line Fig. 2 (a) including product section, and Fig. 2 (b) is weldering Suture takes a little discrete posterior nodal point.
Fig. 3 is mesh mapping method reverse plate weld line origin pole extreme position schematic diagram.
Fig. 4 is that one or more snippets weld line specifically determines mode schematic diagram.The weld line node initial bit gone out according to reverse Putting, two limit end points form an enclosed region in its initial normal orientation, require that according to designing a model weld line hop count can be true Fixed different weld line shaped position.Fig. 4 (a), when designing a model and plate requirement is with single hop weld line, reflects according to grid Penetrate reverse and go out the weld line initial several limit node location N1, N2, N3 on plate, need maximum limit position in optimization process Put and carry out considering analysis, thus N2, N3 two limit positions, select at the node normal direction maximum limit i.e. N2 of point, now N1, N2 2 exists Being perpendicular to normal direction and form an enclosed region with raw sheet material, the difference of end positions forms different weld lines and plate combination. Fig. 4 (b) when design a model and plate requirement for multistage weld line time, according to mesh mapping reverse go out weld line on plate at the beginning of Begin the several limit node location N1, N2, N3, needs segmentation to consider extreme position.Between N1 and N2 and between N1 and N3, with Single hop weld line selects similar, but must be connected by common node on middle N1N1` line and form the multistage weldering being readily produced operation Suture.
Fig. 5 is that case study on implementation imitates automobile door plate model reverse weld line initial position combination schematic diagram.
Fig. 6 is that case study on implementation traditional approach plate different from optimization method weld line forming simulation weld line position deviation is shown It is intended to.At identical conditions, after traditional method arranges weld line plate forming simulation, product section weld line position deviation is maximum Value is 15.22mm, and after optimization method determines weld line position plate forming simulation, weld line position deviation maximum is 9.63mm.
Fig. 7 case study on implementation traditional approach and optimization method plate weld line full-scale investigation result schematic diagram.According to two kinds of sides Formula carries out full-scale investigation respectively, and traditional approach plate stamping rear product section weld line maximum position deviation in kind is 15.34mm, optimization method determines that weld line plate stamping rear product section weld line maximum position deviation in kind is 9.45mm。
Fig. 8 is case study on implementation traditional approach and optimization method plate weld line simulation analysis and full-scale investigation result schematic diagram Table.
Case is implemented
In this article with weld line final position and design attitude maximum deviation f as optimization aim, maximum thickens rate R, Little reduction W is that Optimizing Process Parameters constraints controls forming property good in sheet forming process, with the two of weld line Endpoint location x1, x2 be design variable to regulate the weld line difformity position at limit area, set up Optimized model as follows:
Can show that plate occurs without the cracking defect such as wrinkling according to material mechanical parameters and engineering practical experience Maximum thickens rate R, the maximin of minimum reduction W.Limit area by mesh mapping method reverse weld line can be true Determine the extreme position of weld line both sides.
The plate that plate and this method optimization determine in a conventional manner carries out shock pressure experiments in kind, corresponding technological parameter bar Under part, obtain punching press material object result optimizing target, between constraints and variable, approximate response surface model.
According to the relation between plate weld line location variable and optimization aim and constraints, structure in MATLAB software Build cubic response face approximate model.
Maximum weld line position deviation f response surface model:
F=-8331.8+141.4x1+24.475x2-0.711x1 2-0.42x1x2+0.0396x2 2+
0.001374x1 3-0.000359x2 3+0.000478x1 2x2+0.000886x1x2 2The coefficient of determination is 0.9535, adjusts The coefficient of determination is 0.9085.
Maximum reduction W response surface model:
R=-2444.8+85.55x1-38.29x2-0.3574x1 2-0.3594x1x2+0.4148x2 2+
3.556x10-4x1 3+1.191x10-3x1 2x2-7.57x10-5x1x2 2-8.255x10-4x2 3The coefficient of determination 0.956 is adjusted The whole coefficient of determination 0.9361.
Maximum thickens rate W response surface model:
W=3876.4-0.8109x1-75.11x2-0.3166x1 2+0.6678x1x2+0.1484x2 2
+0.001276x1 3-0.001876x1 2x2-0.0002697x1x2 2-2.259x10-4x2 3The coefficient of determination 0.9145, adjusts The whole coefficient of determination 0.9032.
By the coefficient of determination with adjustment coefficient of determination numerical value it may be concluded that the fitting precision of agent model is the highest, can To meet the requirement of precision of prediction.
Utilize genetic algorithm to carry out including selecting, intersect and the genetic operation of variation etc..In this research, take population big Little n=30, obtaining final optimization pass result through loop iteration is: weld line two-end-point position is x1=168.5mm, x2= 156mm, weld seam maximum amount of movement is 9.63mm, and maximum thickens rate 28.75%, maximum reduction 29.16%, it is seen that optimum results Meet constraints.Technological parameter after optimizing substitutes in stamping finite element software Dynaform and is calculated 9.28mm, it is seen that the precision of optimum results is that comparison is high.
Carry out full-scale investigation the most respectively, (a) traditional approach plate stamping rear product in kind in accompanying drawing 7 Part weld line maximum position deviation is 15.34mm, and (b) is that optimization method determines weld line plate stamping rear product in kind Part weld line maximum position deviation is 9.45mm.Full-scale investigation and emulation experiment error are all within 10%.Emulation experiment with Full-scale investigation result shows, in process conditions such as identical pressure-pad-force, beads, part portion lacks without cracking and wrinkling shaping On the premise of Xianing, the plate determined is arranged the most in advance the shaped position of weld line, weld line actual bit can be effectively reduced Put the deviation with design attitude, improve the distribution of not homonymy material in model and the more disorderly conjunction that designs a model, reduce weld seam simultaneously Line position produces the risk of cracking.
In order to improve the positional precision problem not waiting thick laser assembly solder plate weld line, the present invention proposes one and reflects based on grid Penetrate the not uniform thickness tailor welded weld line optimization method with genetic algorithm, it is characterised in that employing following steps:
Step 1: tentatively conventionally determine plate weld line shaped position, strike out for tailor welded part Shape simulation analysis;
Step 2: design meets binder surface and the process complementary surface that Sheet Metal Forming Technology requires, will extend to process complementary surface and overstock Form a complete weld line on drawing work model on charge level, extract the complete weld line on drawing work model, Complete design weld line according to extracting utilizes the initial threshold position that mesh mapping method reverse weld line is corresponding on plate Put;
Step 3: use test design method to obtain sample number with reverse weld line extreme position and design weld line hop count Strong point;
Step 4: according to sample point experimental result, constructs response surface model, determines that optimization aim, constraints become with design The polynomial response surface approximate function of amount;
Step 5: utilize genetic algorithm to carry out including selecting, intersect and the genetic operation of variation etc., solve weld line position Put the optimal solution of Parametric optimization problem;
Step 6: optimized optimal solution by weld line location parameter and obtain tailor welded plate, substitute into stamping finite element software In calculate, inspection optimum results precision.
Plate is welded by mesh mapping, Binding experiment method for designing response surface model by this method by setting up phantom Suture shaped position carries out technique optimization method, obtains the combination of rational plate, improves tailor welded weld line stamping rear real Position, border and the precision of design attitude, thus improve forming property, the process optimization for tailor welded weld line provides a kind of real Border feasibility and the method for novelty, have practice guiding action to production.
Example provided above is only the preferred embodiment of the present invention, every according to the claims in the present invention and description of the invention content Simple equivalence change and the modification made, all should belong to the scope that patent of the present invention covers.

Claims (7)

1. a not uniform thickness tailor welded weld line optimization method, it is characterised in that use following steps:
Step 1: tentatively conventionally determine plate weld line shaped position, carries out stamping imitative for tailor welded part True analysis;
Step 2: design meets binder surface and the process complementary surface that Sheet Metal Forming Technology requires, will extend to process complementary surface and overstock charge level On form a complete weld line on drawing work model, extract the complete weld line on drawing work model, according to The complete design weld line extracted utilizes the initial threshold position that mesh mapping method reverse weld line is corresponding on plate;
Step 3: initial line extreme position and design weld line hop count with the weld seam of reverse use test design method to obtain sample Notebook data point;
Step 4: according to sample number strong point experimental result, constructs response surface model, determines that optimization aim, constraints become with design The polynomial response surface approximate function of amount;
Step 5: utilize genetic algorithm to carry out the genetic operation including selecting, intersect and make a variation, solve weld line location parameter The optimal solution of optimization problem;
Step 6: the optimal solution optimized by weld line location parameter obtains tailor welded plate, substitutes in stamping finite element software Calculate, the precision of inspection optimum results.
2. as claimed in claim 1, in step 1, according to design butt welding piece model needs, weld line plane projection position determines Weld line shaped position and hop count, carry out simulation analysis, under ensureing forming quality premise, obtains weld line maximum position deviation Make basis for mesh mapping reverse simultaneously.
3. as claimed in claim 1, in step 2, extraction design weld line is the most discrete for dot grid mapping method Inverse seeking design The initial threshold position that weld line is corresponding on plate, in conjunction with the middle weld line normal orientation that designs a model, determines the section of weld line Number and limit area.
4. as claimed in claim 1, in step 3, reverse goes out weld line extreme position, selects suitable test design method, Orthogonal, latin square experiment design and uniform experiment design, it is thus achieved that about weld line at the position sample of each end points Notebook data point, group of data points is combined into different weld line shaped positions.
5. as claimed in claim 1, in step 4, the optimization aim of Optimized model is stamping rear product section weld line Physical location and the maximum of design attitude deviation, make maximum position deviation value minimum;Constraints is stamping basic matter Amount requires that maximum reduction, maximum thicken rate and meet without cracking, ridging defect requirement, and wherein maximum reduction, maximum thicken rate Bound is determined by emulation and stock material performance parameter;Sample number strong point simulation result matching optimization aim and constraints Polynomial response surface model, concrete data model is:
F optimization aim is the minima of product section weld line maximum deviation;WiFor maximum reduction, RiRate is thickened for maximum; ΔmaxRepresent weld line physical location and the deviation of design attitude after shaping;I is series sample point correspondence sequence number;A, b are expressed as Ensure that good shaping is without the plate reduction minima ftractureed, maximum;C, d are expressed as ensureing well to shape increasing without wrinkling plate Thick rate minima, maximum.
6. as claimed in claim 1, in steps of 5, use Quadratic response model construction sample point design variable and desired value And maximum reduction, maximum thicken the response surface model between rate two constraints, genetic algorithm is utilized to carry out including selecting, handing over The genetic operation of fork and variation etc., selects suitable iterations to solve during the i.e. maximum position deviation minimum of optimal result corresponding Design variable, obtain optimal plate weld line shaped position combination and weld line position maximum deviation minimize.
7. as described in claim 1-6, in step 6, new plate combination substitutes in finite element emulation software, after inspection shapes Product section weld line maximum position deviation and optimum results.
CN201610402251.1A 2016-06-08 2016-06-08 A kind of not uniform thickness tailor welded weld line optimization method Active CN106096125B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610402251.1A CN106096125B (en) 2016-06-08 2016-06-08 A kind of not uniform thickness tailor welded weld line optimization method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610402251.1A CN106096125B (en) 2016-06-08 2016-06-08 A kind of not uniform thickness tailor welded weld line optimization method

Publications (2)

Publication Number Publication Date
CN106096125A true CN106096125A (en) 2016-11-09
CN106096125B CN106096125B (en) 2019-04-19

Family

ID=57228456

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610402251.1A Active CN106096125B (en) 2016-06-08 2016-06-08 A kind of not uniform thickness tailor welded weld line optimization method

Country Status (1)

Country Link
CN (1) CN106096125B (en)

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106844924A (en) * 2017-01-12 2017-06-13 桂林电子科技大学 Method based on Response Surface Method and genetic algorithm optimization PCB microstrip line constructions
CN107498181A (en) * 2017-08-19 2017-12-22 浙江哈尔斯真空器皿股份有限公司 Improve the method and its automatic welding device of metal thermos cups smooth welding joint degree
CN107515978A (en) * 2017-08-17 2017-12-26 广东工业大学 The method of response surface model is built based on genetic algorithm and applies its system
CN109145459A (en) * 2018-08-27 2019-01-04 中车齐齐哈尔车辆有限公司 A kind of weld seam unit generation method and device
CN110262396A (en) * 2019-06-04 2019-09-20 中国第一汽车股份有限公司 A kind of not equal area Bu Dengliaohou process data processing method for expecting thick product drawing die of laser assembly solder
CN111639406A (en) * 2020-06-01 2020-09-08 湖南大学 Method for optimizing shape of time sequence flanging tool knife edge
CN115255704A (en) * 2022-06-13 2022-11-01 中国第一汽车股份有限公司 Process optimization method for crack of tailor-welded joint of tailor-welded blank stamped parts with different thicknesses

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102799704A (en) * 2012-05-21 2012-11-28 湖南大学 Optimal design method for spliced and welded plate automobile door
CN103366043A (en) * 2013-05-31 2013-10-23 天津大学 Three-point support optimization design method of machine tool bed based on response surface model
US20150168355A1 (en) * 2013-12-16 2015-06-18 Jason HABERMEHL Automatic calibration for phased array inspection of girth weld

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102799704A (en) * 2012-05-21 2012-11-28 湖南大学 Optimal design method for spliced and welded plate automobile door
CN103366043A (en) * 2013-05-31 2013-10-23 天津大学 Three-point support optimization design method of machine tool bed based on response surface model
US20150168355A1 (en) * 2013-12-16 2015-06-18 Jason HABERMEHL Automatic calibration for phased array inspection of girth weld

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
刘玉山 等: "基于预偏移的激光拼焊板焊缝优化补偿方法", 《机械工程学报》 *
段彦宾: "汽车拼焊板门内板成型性及焊缝移动控制分析", 《2011西部汽车产业·学术论坛暨四川省第十届汽车学术年会论文集》 *

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106844924A (en) * 2017-01-12 2017-06-13 桂林电子科技大学 Method based on Response Surface Method and genetic algorithm optimization PCB microstrip line constructions
CN106844924B (en) * 2017-01-12 2021-02-23 桂林电子科技大学 Method for optimizing PCB microstrip line structure based on response surface method and genetic algorithm
CN107515978A (en) * 2017-08-17 2017-12-26 广东工业大学 The method of response surface model is built based on genetic algorithm and applies its system
CN107498181A (en) * 2017-08-19 2017-12-22 浙江哈尔斯真空器皿股份有限公司 Improve the method and its automatic welding device of metal thermos cups smooth welding joint degree
CN107498181B (en) * 2017-08-19 2019-07-26 浙江哈尔斯真空器皿股份有限公司 Improve the method and its automatic welding device of metal thermos cups smooth welding joint degree
CN109145459A (en) * 2018-08-27 2019-01-04 中车齐齐哈尔车辆有限公司 A kind of weld seam unit generation method and device
CN110262396A (en) * 2019-06-04 2019-09-20 中国第一汽车股份有限公司 A kind of not equal area Bu Dengliaohou process data processing method for expecting thick product drawing die of laser assembly solder
CN111639406A (en) * 2020-06-01 2020-09-08 湖南大学 Method for optimizing shape of time sequence flanging tool knife edge
CN111639406B (en) * 2020-06-01 2022-08-16 湖南大学 Method for optimizing shape of time sequence flanging tool knife edge
CN115255704A (en) * 2022-06-13 2022-11-01 中国第一汽车股份有限公司 Process optimization method for crack of tailor-welded joint of tailor-welded blank stamped parts with different thicknesses

Also Published As

Publication number Publication date
CN106096125B (en) 2019-04-19

Similar Documents

Publication Publication Date Title
CN106096125A (en) One not uniform thickness tailor welded weld line optimization method
CN105081133B (en) Method for controlling warping of web of large frame type sheet metal part
CN102982200B (en) A kind of aircraft sheet metal components process modeling method for designing
CN102968524B (en) A kind of modeling method of two-dimentional variable curvature section bar part process model
CN105414351B (en) Large-scale Double curve degree curved surface multi-point forming method based on springback compensation
CN103894514B (en) A kind of pipe fitting torsion beam press-processing method
CN104200037B (en) Method for designing forming dies for low-double-curvature sheet metal parts
CN104438537B (en) The swollen shape drawing forming method of a kind of variable curvature half flat tube part
CN102799735B (en) Springback compensation method based on technological parameter control
CN105328096B (en) A kind of manufacturing process of titanium alloy clip class forging part
CN103212634B (en) The method for designing of rubber shaping male bend limit multistep mould and forming surface thereof
CN102601193A (en) Method for controlling rebounding of high-strength steel by aid of elliptical-arc-shaped fillet of female die
CN103920787B (en) A kind of hydraulic forming method of pipe fitting torsion beam
CN102189168B (en) Method and device for influencing the cut and functional face on fine-blanked finished parts
CN103599981A (en) Deep drawing forming method for T-shaped three-way pipes
CN101767158A (en) Metal tube round hole flaring method
CN107885915A (en) A kind of automobile Varying-thickness B post design methods based on one-dimensional mixing cellular automata
CN102513489A (en) Manufacture method for aluminum alloy T-shaped section die forging pieces
CN104353712A (en) Process for controlling resilience of asymmetrically bent stamping parts
CN205464128U (en) Prevent that die forging turbine blade profile part from filling discontented mould structure
CN106345966B (en) A kind of the Lower Sway Arm of Automobile production technology
CN108188338A (en) The forging method of the large complicated forging part of A-100 steel and its pre- forging design method
CN105171365B (en) A kind of deep-cavity thin-wall flange part duplex forging forming method
KR101079770B1 (en) A modeling method of preform for forging
CN104226853B (en) Automobile longitudinal girder shaping and punching process

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant