CN104809304A - Aluminum plate stamping forming process optimization method based on variable-gap blank pressing - Google Patents
Aluminum plate stamping forming process optimization method based on variable-gap blank pressing Download PDFInfo
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Abstract
The invention relates to the technical field of stamping of automobile structural parts, in particular to an aluminum plate stamping forming process optimization method based on variable-gap blank pressing. The aluminum plate stamping forming process optimization method based on variable-gap blank pressing is characterized by comprising the following steps: I, establishing a mathematical model; II, determining a design method; III, partitioning grids; IV, simulating; V, selecting an approximate model; VI, optimizing; VII, performing combined simulation. Compared with the prior art, the aluminum plate stamping forming process optimization method based on variable-gap blank pressing has the advantages that an optimal blank pressing block gap combination is obtained in combination with a test design method, a response surface technology and a multi-target optimization method by establishment of the mathematical model between each blank pressing gap and forming quality, so that corrugations and tension fractures in an aluminum plate stamping forming process are improved, and an innovative and feasible method is provided for aluminum plate stamping forming process optimization.
Description
Technical field
The present invention relates to automobile structure stamping technology field, specifically a kind of aluminium sheet process for stamping and forming optimization method based on Varied clearance flanging.
Background technology
Lightweight is the inexorable trend that Hyundai Motor manufactures and designs.When complete vehicle quality reduction 10%, fuel efficiency can improve 6% to 8%, and oil consumption can reduce by 6% to 10%, not only increases resource utilization, also reduces atmospheric pollution.Meanwhile, the correlated performance of automobile will significantly improve, and serviceable life also can extend.General car body quality reaches the half of complete vehicle quality, alleviates body quality significant to car load lightweight.
The main path of current body lightening adopts light material.Aluminum alloy materials intensity is high, density is little, and reduce 60% than steel meeting under equal mechanical property condition quality, the energy of absorption 50% more than steel when colliding, aluminium sheet replaces the main material that steel plate becomes body of a motor car just gradually.Phase late 1990s, just occurred progressively developing into from the part such as hood, beater or beat-up vehicle body aluminium outside plate the car that vehicle body all adopts aluminium outside plate, relative steel plate obtains the effect of loss of weight 40 ~ 50%.American-European aluminum i ndustry is more flourishing, so America and Europe walks to be in advance in automobile calorize.Germany's Audi A8 type coachbuilt body all adopts aluminium manufacture, and framework adopts stereo frame type structure, and covering is that aluminium sheet is stamped to form, and is once cited as one of whole world Scientific And Technical achievement in 1994 100.This aluminium vehicle body is compared with steel vehicle body, and quality alleviates 30% ~ 50%, and oil consumption lowers 5% ~ 8%.The coachbuilt body aluminium alloy that Japanese honda company produces reaches 162kg, than steel vehicle body loss of weight about 40%.
Although aluminium sheet is employed as body material, still there is a lot of problem in its drawing.Aluminium alloy plate all has larger difference in many aspects such as material parameter, failure criteria, Hardening Laws with general steel plate, aluminium alloy than steel plate limit elongation and elastic modulus low, local is drawability poorer than steel plate, in stamping process, easily occur the forming defectses such as wrinkle and fracture.Therefore, the optimization of sheet forming technique is the focus of Chinese scholars research always.
Pressure variable edge force technology improves the important method of sheet metal formability.The people such as Tetsuya Yagami use 36 kiss gating-feeder modules to control the flowing of material on 3 hydraulic cylinders, optimize pressure-pad-force; Kozo Osakada determines optimum pressure-pad-force loading curve by control FEM; The people such as Gong Zhihui obtain the optimum pressure variable edge force curve with stroke change in conjunction with response surface technology and genetic algorithm; The people such as Sun Chengzhi have studied the impact of pressure variable edge force on the strain paths of aluminium sheet stamping process based on M-K method, and result shows that pressure variable edge force cumulative in time can improve the forming property of cup-shaped drawing part; The people such as Chen Guanlong pass through the pressure-pad-force of numerical simulation study with change in location to the impact of rectangular box forming quality; The people such as Bao Youxia improve the hybrid algorithm based on gridding method and simplicial method, optimize the pressure variable edge force scheme of a bulb cylindrical cup part in conjunction with simulation software, reduce its maximum reduction in local.
Although the pressure variable edge force technology of sheet forming has achieved very large effect, the requirement of realization to press of pressure variable edge force is higher.For common press, not only difficulty is large to realize pressure variable edge force, and cost is high, can not meet the demand of actual production.In punching course, blank space directly determines the size of pressure-pad-force, and therefore some scholar external proposes the forming technology technology of Varied clearance flanging.But current research is just analyzed for isolated sample point, do not solve best parameter group for optimization aim.Given this, the present invention proposes the mathematical model first set up between each flanging block to the gap width and forming quality of die, then binding tests method for designing, response surface approximate model technology and Multipurpose Optimal Method search optimum solution, and the forming technology optimization for aluminium sheet punching press provides a kind of new means.
Summary of the invention
The present invention, for overcoming the deficiencies in the prior art, provides a kind of aluminium sheet process for stamping and forming optimization method based on Varied clearance flanging.
For achieving the above object, design a kind of aluminium sheet process for stamping and forming optimization method based on Varied clearance flanging, it is characterized in that: comprise the steps,
Step one, founding mathematical models: determine independent variable and optimization aim, set up the mathematical model between each flanging block to the gap width and forming quality of die;
Step 2, determine method for designing: determine that a kind of test design method arrangement is sampled according to experimental factor, each factor level and test number (TN);
Step 3, grid division: carry out grid division in conjunction with actual condition, definition material parameter, kinematic parameter, friction factor, described grid division is FEM meshing;
Step 4, emulation: according to the condition that grid division limits, digital simulation emulation is carried out to sampled result, obtain the thickness distribution figure of plate;
Step 5, choose approximate model: the approximate model setting up excellent magnificent problem;
Step 6, optimization: according to set up approximate model, use a kind of optimized calculation method to obtain optimum solution;
Step 7, combining simulation: when other simulated conditions are constant, adopt the parameter in optimum solution to carry out combining simulation, the feasibility of checking the method.
Described founding mathematical models comprises the steps,
Step one, model preparation: the real background understanding product, understand fully the feature of product, the data message of specifying modeling object and collecting needed for modeling;
Step 2, model hypothesis: the object according to the characteristic sum modeling of product reasonably simplifies product, makes hypothesis with accurate language;
Step 3, model-composing: according to cause-effect relationship and the inherent law of what-if, select suitable mathematical tool construct each amount between relation;
Step 4, model solution: adopt picture shape or to solve an equation or logic analysis or data calculate model solution;
Step 5, model analysis: error analysis, model are carried out to the stability analysis of data or sensitivity analysis to the result of model solution;
Step 6, model testing: the translation of the result of model analysis is revert in actual conditions, compares with the data of reality and phenomenon, the applicability of testing model and rationality.
Described determination method for designing designs or Central Composite design or uniform Design or orthogonal design or Latin hypercube design for total divisor.
The concrete steps of described FEM meshing are as follows,
(1) body of tool will be carried out in UG software or CATIA software and plate curved surface converts IGS form to;
(2) IGS form is imported in DYNAFORM software;
(3) surface mesh clicked in DYNAFORM software in pre-processing module divides order, selects TOOL MESH order when dividing tool volume mesh, when PART MESH order then selected by division plate;
(4) stress and strain model carries out the weight of inspection unit.
The method of described FEM meshing is reflection method or Delaunay triangle subdivision method or quadtree approach.
The algorithm of described digital simulation is Static implicit algorithm or power display algorithm, and emulating software used is DYNAFORM5.9.
The described method choosing approximate model is polynomial response surface model or artificial nerve network model or Kriging model.
Described optimized calculation method is particle cluster algorithm or genetic algorithm or ant group algorithm.
Described optimized calculation method software used is Isight5.7.
The present invention compared with the existing technology, by setting up the mathematical model between each flanging block gap and forming quality, binding tests method for designing, response surface technology and Multipurpose Optimal Method obtain the combination of optimum flanging block gap, improve the wrinkle and fracture in aluminium sheet stamping process, the process for stamping and forming optimization for aluminium sheet provides a kind of method with novelty and feasibility.
Accompanying drawing explanation
Fig. 1 is optimization method process flow diagram of the present invention.
Fig. 2 is product model schematic diagram.
Fig. 3 is blank holder block diagram.
Fig. 4 is Pareto optimal solution set schematic diagram.
Embodiment
The present invention is described further with reference to the accompanying drawings below.
As shown in Figure 1, a kind of aluminium sheet process for stamping and forming optimization method based on Varied clearance flanging, comprises the steps,
Step one, founding mathematical models: determine independent variable and optimization aim, set up the mathematical model between each flanging block to the gap width and forming quality of die;
Step 2, determine method for designing: determine that a kind of test design method arrangement is sampled according to experimental factor, each factor level and test number (TN);
Step 3, grid division: carry out grid division in conjunction with actual condition, definition material parameter, kinematic parameter, friction factor, described grid division is FEM meshing;
Step 4, emulation: according to the condition that grid division limits, digital simulation emulation is carried out to sampled result, obtain the thickness distribution figure of plate;
Step 5, choose approximate model: the approximate model setting up excellent magnificent problem;
Step 6, optimization: according to set up approximate model, use a kind of optimized calculation method to obtain optimum solution;
Step 7, combining simulation: when other simulated conditions are constant, adopt the parameter in optimum solution to carry out combining simulation, the feasibility of checking the method; Namely the material of Meshing Method and quality requirements thereof, body of tool position, plate and position, friction factor, bead, procedure parameter and controling parameters etc. constant, the finite element model re-establishing blank holder with the best parameter group obtained emulates.Before and after relatively optimizing part product area maximum reduction and minimumly thicken rate, if the maximum reduction after optimizing and the minimum rate that thickens reduce, optimum results can accept, otherwise then needs to rearrange sampling and set up approximate model to be optimized.
Founding mathematical models comprises the steps,
Step one, model preparation: the real background understanding product, understand fully the feature of product, the data message of specifying modeling object and collecting needed for modeling;
Step 2, model hypothesis: the object according to the characteristic sum modeling of product reasonably simplifies product, makes hypothesis with accurate language; The architectural feature simplifying auxiliary process and the artificial interpolation mainly impact being solved target is removed, and avoids the error that secondary cause causes result.Do to suppose according to being normally in the understanding of problem inherent law and the analysis to data or phenomenon, generally practical problems is difficult to be translated into mathematical problem without hypothesis, the mathematical model that the hypothesis difference of making is set up can be different, suppose that too simple or unreasonable meeting causes model part failure or falls flat, now should supplement and revise hypothesis; Suppose then to make mathematical model be difficult to set up too in detail, therefore, do not only will fully use the scientific knowledge relevant to practical problems when supposing, also to give full play to one's imagination and clairvoyance, in conjunction with personal experience, distinguish problem primary and secondary, catch principal element, give up secondary cause, as far as possible by problem homogenous linear;
Step 3, model-composing: according to cause-effect relationship and the inherent law of what-if, select suitable mathematical tool construct each amount between relation;
Step 4, model solution: adopt picture shape or to solve an equation or logic analysis or data calculate model solution;
Step 5, model analysis: error analysis, model are carried out to the stability analysis of data or sensitivity analysis to the result of model solution; Sometimes the dependence between needing according to the property analysis variable of problem or stability state, sometimes be provide mathematical forecast according to acquired results, sometimes will provide mathematical optimizing decision or control, all situations all needs to carry out error analysis, model to the stability analysis of data or sensitivity analysis etc. usually;
Step 6, model testing: the translation of the result of model analysis is revert in actual conditions, compares with the data of reality and phenomenon, the applicability of testing model and rationality; If assay is with substantial portion or do not meet completely, then should supplements and revise hypothesis, again modeling, constantly improving until assay and actually reach certain satisfaction.
Described determination method for designing designs or Central Composite design or uniform Design or orthogonal design or Latin hypercube design for total divisor.
The concrete steps of FEM meshing are as follows,
(1) body of tool will be carried out in UG software or CATIA software and plate curved surface converts IGS form to;
(2) IGS form is imported in DYNAFORM software;
(3) surface mesh clicked in DYNAFORM software in pre-processing module divides order, selects TOOL MESH order when dividing tool volume mesh, when PART MESH order then selected by division plate;
(4) stress and strain model carries out the weight of inspection unit; Wherein, in pre-processing module, there is the submodule that unit is repaired, can check the normal direction of unit, elementary boundary, length breadth ratio, unit interior angle, unit size, warpage angle respectively.If there is the unit that quality does not meet the demands, the related command in the middle of by pre-treatment is needed to repair or repartition unit until meet the demands.
Sheet forming is selected in the Lookup protocol of DYNAFORM menu bar, the interface of ejecting can setting process content, the procedure parameter of the material of definition work coordinate system, body of tool position, plate and position, friction factor, bead, every procedure and controling parameters etc.Automatic location can directly be selected in the position of body of tool, and the material of bead, plate, friction factor, pressure-pad-force and plastic force etc. are consistent with the technical papers in actual production.The material of plate can be selected from material depot, if there is no the actual material selected in material depot, and can according to its attribute of character editor of material.Can the maximum self-adaptation grade that divides of setting unit in controling parameters, general select 4 grades.
The method of FEM meshing is reflection method or Delaunay triangle subdivision method or quadtree approach.
The algorithm of digital simulation is Static implicit algorithm or power display algorithm, and emulating software used is DYNAFORM5.9.
The method choosing approximate model is polynomial response surface model or artificial nerve network model or Kriging model.
Optimized calculation method is particle cluster algorithm or genetic algorithm or ant group algorithm.
Optimized calculation method software used is Isight5.7.
The present invention proposes a kind of aluminium sheet process for stamping and forming optimization method based on Varied clearance flanging, there is certain novelty and feasibility.
For an optimization problem, the mathematical model setting up problem is extremely important.The invention belongs to formability optimization, and aluminium sheet material parameter, failure criteria, Hardening Law etc. are many-sided and the difference of general steel plate, easily there is the forming defectses such as wrinkle and fracture in punching course, and usually appear at and excessively thicken and thinning region, therefore using the maximum gauge value of product area after being shaped and minimum thickness value as optimization aim.Independent variable is the distance between each flanging block to die, i.e. blank space.The blank space span of each flanging block is all identical, is 1.0t ~ 1.8t, and wherein t is that original material is thick.
Service test method for designing arrangement sampling emulation after building up mathematical model.Test design can avoid duplicate sampling, improves counting yield and optimum level.The present invention adopts Latin hypercube experimental design method arrangement to sample.Simulation software be DYNAFORM, in simulation process, the body of tool such as die, blank holder, punch is set to body material model, grid cell adopts quadrilateral BT shell unit, unit size is 0.5mm ~ 30mm, in order to improve model accuracy and computing velocity in partition process, allow to occur triangular element in the region of some complicated structure.Plate is set to three parameter Barlat material models, and dividing elements adopts quadrilateral BT shell unit, and unit size is 0.1mm ~ 10mm, and transitional region allows to adopt triangular element, but number should control within 5% of unit sum.Dividing elements well after, also need inspection unit quality and its normal direction.Friction factor between body of tool and plate is closely related with the use of material and lubricant, and span is 0.05 ~ 0.2.The dry run speed span of body of tool is 500mm/s ~ 5000mm/s.Whole forming process selects static implicit algorithm to calculate.
The corresponding relation of existence can reflect by approximate model in design space comprehensively, and the result of the result of calculation of type and numerical simulation or experiment is very close.The present invention selects quadratic polynomial response phase method to set up approximate model, but the precision of model affected by the exponent number of approximate function, subdomain space size, sample point number and distribution thereof, therefore also need to carry out accuracy test to it after based on simulation result of sampling approximate model being established.Usual employing coefficient of determination R
2with the coefficient of determination R after adjustment
a2 as test stone, and its value is more more accurate close to 1 model.
Particle cluster algorithm is that more a kind of optimized algorithm is applied in punching press field.For multi-objective optimization question, relatively more conventional is the multi-objective particle arranged based on Pareto proposed by people such as Ceollo.The major parameter of this algorithm has: inertia weight, generally gets 0.4; Individual learning rate and overall learning rate, get the random number between 0 to 1; Population Size, between value 20 to 200.After having optimized, draw Pareto figure, choose from Pareto forward position from " ideal point " apart from minimum point as optimum solution.Again the accuracy checking optimization method is emulated finally by optimum solution.
Current pressure variable edge force technology optimizes the main method of aluminium plate forming performance, comprises the optimum pressure-pad-force curve with stroke change and the optimum pressure-pad-force combination with change in location.And for common press, not only difficulty is large in the realization of pressure variable edge force, and cost is high, is difficult to the demand meeting actual production.And pressure-pad-force is actually and is directly determined therefore have scholar to propose the forming technology technology of Varied clearance flanging by blank space.But current research is being constantly attempt obtaining on the basis of correlation experience to the blank space optimization of flanging block, whole process need lot of experiments, and can not accomplish accurate control to gap width; Or adopt orthogonal test method to analyze some isolated data points, the not necessarily globally optimal solution obtained.The present invention proposes the mathematical model first set up between each flanging block to the gap width and forming quality of die, then binding tests method for designing, response surface approximate model technology and Multipurpose Optimal Method search optimum solution, and the forming technology optimization for aluminium sheet punching press provides a kind of new means.
By setting up the mathematical model between each flanging block gap and forming quality, binding tests method for designing, response surface technology and Multipurpose Optimal Method obtain the combination of optimum flanging block gap, improve the wrinkle and fracture in aluminium sheet stamping process, the process for stamping and forming optimization for aluminium sheet provides a kind of method with novelty and feasibility.
Embodiment one
As shown in Figures 2 to 4, for certain coachbuilt body aluminum inner panel, the maximum gauge value of product area in punching course and minimum thickness value are carried out the optimization of flanging block gap as objective function.
Part model as shown in Figure 2, part material trade mark GMW15192M-AL-S-6000-S-90-U; Initial sheet thickness t
0=1.2mm; Elastic modulus E=70GPa; Yield strength σ
s=130.0MPa; Tensile strength sigma
b=218.1MPa; Normal anisotropy coefficient r=0.57; Hardenability value n=0.206.
Finite element software selects DYNAFORM, and because this part is left and right part, left and right part matched moulds in punching course, so its finite element model is symmetrical.In simulation process, friction factor is 0.125; Clearance between punch and die is 1.1t, and wherein t is thick for just expecting; The stroke of blank holder is 20mm; Pressure-pad-force is 200kN; Plastic force is 480kN.During dividing elements, body of tool selects quadrilateral BT shell unit, and unit size is 0.5mm ~ 30mm; Quadrilateral BT shell unit selected by plate, and unit size is 0.1mm ~ 3mm.After dividing elements completes, the element number of die is 6811, and wherein triangular element quantity is 2099; Punch member quantity is 5321, and wherein triangular element quantity is 1600; Blank holder element number is 1556, and wherein triangular element quantity is 550; The number of plate unit is 35662, and wherein the number of triangular element is 33.After other simulated conditions is all provided with, the simulation of gap flanging such as first to carry out, the gap width namely between blank holder and die is 1.1t.Owing to only considering the one-tenth-value thickness 1/10 of product area, so add deburring sequence after shaping sequence.
According to the architectural feature of product and etc. the simulation result of gap flanging by blank holder piecemeal, piecemeal result is as shown in Figure 3.Because blank holder is symmetrical, so the number of actual argument is 8.According to practical production experience, the span of blank space is 1.05t≤x
i≤ 1.25t.Utilize Latin hypercube experimental design method to extract 60 groups of sample point arrangements emulation, simulated conditions with etc. gap simulated conditions be set to consistent.Because each flanging block is discrete, and different from the gap width between punch, between each flanging block, leave the wide gap design transition face of 5mm for convenience of emulation, discrete flanging block has been connected into continuous print curved surface.
Result based on sampling emulation sets up quadratic polynomial response surface approximate model, and its mathematic(al) representation is such as formula shown in (1) and formula (2).In formula: x
1, x
2, x
3, x
4, x
5, x
6, x
7, x
8be respectively the distance between flanging block A, B, C, D, E, F, F, G, H and die.The coefficient of determination of two approximate models and the coefficient of determination after adjusting are respectively: R
1 2=0.944, R
1a 2=0.928, R
2 2=0.977, R
2a 2=0.949.Four numerical value are all close to 1, and approximate model constructed as can be seen here has degree of precision;
Y
1=1.794-1.369x
1+1.309x
2-1.152x
3+1.722x
4+0.461x
5-0.969x
7-1.185x
8-0.254x
2 2+0.388x
3 2-0.521x
4 2-0.43x
5 2-0.256x
6 2+0.516x
7 2+0.363x
8 2+0.185x
1x
2+0.369x
1x
3+0.191x
1x
5+0.156x
1x
6-0.195x
2x
4+0.138x
2x
5-0.1x
2x
6-0.141x
2x
7-0.256x
2x
8-0.28x
3x
4+0.12x
3x
5+0.128x
3x
6-0.113x
3x
7+0.132x
4x
7+0.164x
4x
8+0.162x
5x
6-0.194x
5x
7+0.155x
5x
8+0.122x
6x
7+0.103x
6x
8（1）；
Y
2=6.6+1.252x
1-0.368x
2-1.469x
3-0.320x
4-0.683x
5-1.952x
6-3.034x
7-1.100x
8+0.106x
1 2+0.798x
2 2+0.616x
3 2+0.105x
4 2-0.749x
5 2-0.285x
6 2-0.302x
7 2-0.305x
8 2-1.066x
1x
2-0.334x
1x
3-0.66x
1x
4+0.141x
1x
5-0.154x
1x
6+0.430x
1x
70.470x
1x
8-0.249x
2x
3-0.184x
2x
4+0.223x
2x
5+0.149x
2x
7-0.261x
2x
8+0.5596x
3x
5+0.102x
3x
6-0.383x
3x
8-0.217x
4x
5+0.147x
4x
6+0.357x
4x
7+0.482x
4x
8+1.096x
5x
7+0.238x
5x
8+0.886x
6x
7+0.992x
6x
8（2）。
According to constructed quadratic polynomial response surface approximate model, multi-objective particle swarm algorithm is utilized to be optimized flanging block gap value.The optimum configurations of MOPSO algorithm is: inertial coefficient w=0.4, population population m=100, and individual learning rate and overall learning rate are 0.5, and maximum convergence step number is 100, and external archive capacity is 100.The Pareto disaggregation that optimization obtains as shown in Figure 4.Adopt minimum distance method, namely optimum solution focuses on " ideal point " A apart from minimum particle B as optimum solution.The flanging block gap of some B is combined as: x
1=1.469mm, x
2=1.458mm, x
3=1.389mm, x
4=1.44mm, x
5=1.392mm, x
6=1.329mm, x
7=1.395mm, x
8=1.292mm.
Utilize best parameter group to re-construct finite element model arrangement emulation, it is 1.257mm that thickness distribution figure shows maximum gauge value, and minimum thickness value is 0.967mm.Before optimization etc. gap flanging, maximum gauge value is 1.288mm, and minimum thickness value is 0.957mm.The thickness distribution that front and back are optimized in contrast is known, and maximum reduction is decreased to 19.42% by 20.25%, avoids drawing crack; The maximum rate that thickens is decreased to 4.75% by 7.33%, and wrinkling trend is obviously improved.Therefore prove that the aluminium sheet process for stamping and forming optimization method based on Varied clearance flanging that the present invention proposes is effective.
Claims (9)
1., based on an aluminium sheet process for stamping and forming optimization method for Varied clearance flanging, it is characterized in that: comprise the steps,
Step one, founding mathematical models: determine independent variable and optimization aim, set up the mathematical model between each flanging block to the gap width and forming quality of die;
Step 2, determine method for designing: determine that a kind of test design method arrangement is sampled according to experimental factor, each factor level and test number (TN);
Step 3, grid division: carry out grid division in conjunction with actual condition, definition material parameter, kinematic parameter, friction factor, described grid division is FEM meshing;
Step 4, emulation: according to the condition that grid division limits, digital simulation emulation is carried out to sampled result, obtain the thickness distribution figure of plate;
Step 5, choose approximate model: the approximate model setting up excellent magnificent problem;
Step 6, optimization: according to set up approximate model, use a kind of optimized calculation method to obtain optimum solution;
Step 7, combining simulation: when other simulated conditions are constant, adopt the parameter in optimum solution to carry out combining simulation, the feasibility of checking the method.
2. a kind of aluminium sheet process for stamping and forming optimization method based on Varied clearance flanging according to claim 1, is characterized in that: described founding mathematical models comprises the steps,
Step one, model preparation: the real background understanding product, understand fully the feature of product, the data message of specifying modeling object and collecting needed for modeling;
Step 2, model hypothesis: the object according to the characteristic sum modeling of product reasonably simplifies product, makes hypothesis with accurate language;
Step 3, model-composing: according to cause-effect relationship and the inherent law of what-if, select suitable mathematical tool construct each amount between relation;
Step 4, model solution: adopt picture shape or to solve an equation or logic analysis or data calculate model solution;
Step 5, model analysis: error analysis, model are carried out to the stability analysis of data or sensitivity analysis to the result of model solution;
Step 6, model testing: the translation of the result of model analysis is revert in actual conditions, compares with the data of reality and phenomenon, the applicability of testing model and rationality.
3. a kind of aluminium sheet process for stamping and forming optimization method based on Varied clearance flanging according to claim 1, is characterized in that: described determination method for designing designs or Central Composite design or uniform Design or orthogonal design or Latin hypercube design for total divisor.
4. a kind of aluminium sheet process for stamping and forming optimization method based on Varied clearance flanging according to claim 1, is characterized in that: the concrete steps of described FEM meshing are as follows,
(1) body of tool will be carried out in UG software or CATIA software and plate curved surface converts IGS form to;
(2) IGS form is imported in DYNAFORM software;
(3) surface mesh clicked in DYNAFORM software in pre-processing module divides order, selects TOOL MESH order when dividing tool volume mesh, when PART MESH order then selected by division plate;
(4) stress and strain model carries out the weight of inspection unit.
5. a kind of aluminium sheet process for stamping and forming optimization method based on Varied clearance flanging according to claim 1 or 4, is characterized in that: the method for described FEM meshing is reflection method or Delaunay triangle subdivision method or quadtree approach.
6. a kind of aluminium sheet process for stamping and forming optimization method based on Varied clearance flanging according to claim 1, it is characterized in that: the algorithm of described digital simulation is Static implicit algorithm or power display algorithm, emulating software used is DYNAFORM5.9.
7. a kind of aluminium sheet process for stamping and forming optimization method based on Varied clearance flanging according to claim 1, is characterized in that: the described method choosing approximate model is polynomial response surface model or artificial nerve network model or Kriging model.
8. a kind of aluminium sheet process for stamping and forming optimization method based on Varied clearance flanging according to claim 1, is characterized in that: described optimized calculation method is particle cluster algorithm or genetic algorithm or ant group algorithm.
9. a kind of aluminium sheet process for stamping and forming optimization method based on Varied clearance flanging according to claim 1 or 8, is characterized in that: described optimized calculation method software used is Isight5.7.
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| CN113627025A (en) * | 2021-08-16 | 2021-11-09 | 湘潭大学 | Optimized design method for sheet forming process |
| CN116653347A (en) * | 2023-07-27 | 2023-08-29 | 合肥合锻智能制造股份有限公司 | Servo stamping process curve control method based on quintic polynomial optimization |
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