CN107229783A - A kind of potassium steel shot blast machine blade stress peening process determination method for parameter - Google Patents
A kind of potassium steel shot blast machine blade stress peening process determination method for parameter Download PDFInfo
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Abstract
The invention discloses a kind of potassium steel shot blast machine blade stress peening process parameter determination method based on ABAQUS finite element analyses, FEM model is set up to bullet and potassium steel shot blast machine blade using the material properties of bullet and potassium steel shot blast machine blade, different stress peening process parameters, which are set, using orthogonal test carries out finite element analysis, draw the residual compressive stress on shot peening strengthening rear blade surface, and optimal regression equation is drawn with regression analysis, determine shot blast machine blade shot peening technological parameter using optimal regression equation.The residual-stress value on present invention potassium steel shot blast machine blade top layer after by research and utilization finite element analysis shot-blast process parameter shot peening strengthening different with regression equation prediction, so that it is determined that the optimal shot-blast process parameter of potassium steel shot blast machine blade, to improve the service life of shot blast machine blade, and the need for can also realizing according to potassium steel workpiece surface maximum residual stress, customize suitable stress peening process parameter.
Description
Technical field
The present invention relates to shot-peening mechanics field, more particularly, to a kind of potassium steel shot blast machine blade stress peening process
Determination method for parameter.
Background technology
The application of shot-blasting machine is increasingly extensive both at home and abroad at present, is no longer limited to traditional piece surface processing, more extensively should
For safeguarding and repairing highway, steel bridge and airport pavement etc..Impeller head is as the critical component of shot-blasting machine, and its quality is with making
Directly depend on blade with the life-span, and abrasion during blade working because of abrasive material to be born to its surface, so that as in shot-blasting machine
Most flimsy position.According to incompletely statistics, the annual domestic material value only consumed by blade wear is up to ten million.And shot-peening
Technique is plastically deformed workpiece surface, forms one layer of surface peening layer with drawing hardening effect.Research thinks, surface
The presence of strengthening layer not only increases the hardness and wearability of workpiece surface, it is often more important that form remnants on the top layer of workpiece
Compressive stress layer, residual compressive stress layer can hinder the generation and extension of fatigue statistic, so as to be greatly enhanced the surface of part
Fatigue resistance.
Potassium steel is as a kind of traditional high-abrasive material, under heavy duty, large impact abrasive conditions, and toughness is high, wearability is good,
Be widely used in the mechanized equipments such as metallurgy, mine, building materials, railway, electronics, coal, such as grinder hammerhead, tooth plate, rolled mortar wall,
Excavator bucket teeth, ball grinding machine lining board and railroad frog etc..Potassium steel belongs to the steel grade of austenite structure, makes under high impact loads
With wearability is good, safe and reliable, and it not only can use the raw material of relatively low price to be made and easily smelt, and have preferable casting character.
Therefore, potassium steel is subject to HI high impact load or metal and directly contacts down the ideal for requiring there is high-wearing feature with metal always
Material.
At present, shot-peening engineer applied relies primarily on experience and examination is sprayed, and there is technological parameter and selects unreasonable, reinforcing effect not
Preferable the problem of, and use current residual stress test means and method, particularly lossless detection method, it is difficult to slap completely
Three-dimension parameter design is held, and experience and examination spray need to take a substantial amount of time and manpower, these factors all greatly constrain shot-peening
The development of technology.
For shot peening strengthening this nonlinearity dynamic impulsion process, it is necessary to be divided by means of numerical simulation means
Analysis, in recent years related scholar carried out numerical simulation study and achieve greater advance.But because shot peening strengthening mechanism is complicated
And influence factor is numerous, the method that correlation is still lacked at present to carry out optimal design to the parameter of shot-peening process.
The content of the invention
It is an object of the invention to overcome shortcoming present in prior art there is provided one kind based on ABAQUS finite element analyses
Shot peening technological parameter determine method, the analogy method is set up according to stress equivalence principle by projectile impact method
Shot peening strengthening residual stress FEM model, simulation obtains the residual stress distribution under different shot-blast process parameters, so that it is determined that
The optimal shot-blast process parameter of potassium steel blade, to improve the service life of potassium steel blade, and can also be realized according to potassium steel
The need for workpiece surface maximum residual stress, suitable stress peening process parameter is customized.The technical scheme of use is：It is a kind of high
Manganese steel shot blast machine blade stress peening process determination method for parameter, it is characterized in that：Methods described is followed the steps below：
1) FEM model is set up：
ABAQUS is set up to bullet and potassium steel blade using the material properties and size of bullet and potassium steel blade limited
Meta-model, potassium steel blade shot peening strengthening process, the material of bullet and the potassium steel blade are simulated with set up FEM model
Expect that attribute is characterized with material parameter, the material parameter refer to the Young's modulus of bullet and potassium steel blade, Poisson's ratio,
Density, yield strength and ultimate strength；
2) finite element analysis：
The finite element software is used for the bullet and the material of potassium steel in the FEM model according to technological requirement
Parameter, bullet size and initial velocity carry out assignment, and the flat of each node of potassium steel blade surface is obtained using the finite element software
Equal residual stress；
3) stepwise regression analysis：
With orthogonal experiment method design technology parameter combination, the technological parameter refers to bullet diameter, velocity of shot and spray
The ball time, the average residual stress of the maximum of shot blast machine blade under different technical parameters is drawn using the finite element analysis described in 2)；
4) maximum average optimal regression equation of the residual stress on the technological parameter is obtained using regression analysis, utilized
The optimal regression equation determines optimal shot peening technological parameter, and equation is：
Y=376.272+21.793dt+0.015v2。
The technical characteristic of the present invention also has：Step 1) described in FEM model include it is a diameter ofBullet, and from height
Manganese steel blade by intercepted on spray plane using by spray plane as top surface cuboid, the top surface of the cuboid be with plane-parallel and
The length of side is 20mm square；The height of the cuboid is 8mm.
The technical characteristic of the present invention also has：The mesh generation of shot blast machine blade selects C3D8R units, and shot-peening is mono- from C3D4
Member.
The beneficial effects of the present invention are：A kind of shot blast machine blade shot-peening based on finite element analysis proposed by the present invention is strong
The Finite Element Method of change, the potassium steel blade obtained using ripe projectile impact method under different shot-blast process parameters is remaining
Stress distribution, it is to avoid the adjoint cost of conventional cloudburst test method is too high in actual production, consumes substantial amounts of manpower and thing
The problem of power；The present invention introduces the stepwise polynomial regression method of diversified forms the selection of shot-blast process parameter Optimality equations,
More accurate regression equation is obtained, the practicality for obtaining shot-blast process parameter is added；The present invention uses orthogonal experiment arrangement
Shot-blast process parameter, is returned with stepwise regression analysis method, finally obtains optimal regression equation, can be average to maximum
Residual stress carries out quantitative study, according to the average residual stress of maximum the need for, can arbitrarily customize the technological parameter present invention public
The analogy method opened has the characteristics of rapid, inexpensive, simple and easy to do, calculating is accurate, and practical implementation effect is good.
Brief description of the drawings
Accompanying drawing 1 is the FEM model of coverage rate 100% in the present invention；Accompanying drawing 2 is that coverage rate 200% has in the present invention
Limit meta-model；Accompanying drawing 3 is the FEM model of coverage rate 300% in the present invention；Accompanying drawing 4 is coverage rate 400% in the present invention
FEM model；Accompanying drawing 5 is analog result and Comparison of experiment results schematic diagram.
Embodiment
Below in conjunction with the accompanying drawings, the embodiment to the present invention is illustrated.
Shot blast machine blade shot peening technological parameter based on ABAQUS finite element analyses determines that method is by as follows
Step is carried out：
Shot peening strengthening residual stress finite element modelling
In the analysis of ABAQUS Dynamic Announces, bullet and potassium steel blade table are simulated by defining the initial velocity of bullet
Shock loading produced by the knockout process of face, while being described using Coulomb friction model between bullet and potassium steel blade
Contact situation, reduces the tangential motion between two contact surfaces, the result that calculating is obtained more is stablized；Potassium steel blade unit class
Type is C3D8R, and local refinement network style division unit is used in projectile impact region.During actual shot peening strengthening, bullet
Ball material is steel wire cut pill, and hardness is higher, and yield strength and tensile strength are all very high, collision rift deformation very little.Limited
Bullet is constrained to rigid body in first simulation process, and ignores the influence of acceleration of gravity, contact is preceding to assume the fortune that remains a constant speed
It is dynamic；Residual stress distribution result is obtained by shot peening strengthening residual stress finite element modelling.
Step 1：Set up FEM model
FEM model is set up to bullet and shot blast machine blade using the material properties of bullet and potassium steel blade, to be built
Vertical FEM model simulates whole potassium steel blade shot peening strengthening process, and using nonreflecting BC, the plane of symmetry and fixation
Constraint reduces influence of the border for simulation effect；The material properties of bullet and potassium steel are characterized with material parameter, material parameter
Refer to Young's modulus, Poisson's ratio, density, yield strength and the ultimate strength of bullet and potassium steel, the design parameter such as institute of table 1
Show.
The potassium steel of table 1 and bullet material technology parameter
Set up physical model：Blade dimensions be 20 × 20 × 8mm, bullet diameter according to orthogonal test table be set as 0.6mm,
0.8mm, 1.0mm and 1.2mm, shot-peening covering are respectively 100%, 200%, 300% and 400%, such as Fig. 1, Fig. 2, Fig. 3 and Fig. 4
It show the FEM model that shot-peening covering is respectively 100%, 200%, 300% and 400%.Coverage rate is 100% model
For four layers of bullet, and intercepted from blade so that by spray plane, as the hexahedron of top surface, hexahedral top surface is flat with horizontal plane
The square that row and the length of side are 20mm；Hexahedral height is 8mm；Bullet aligning method is staggered as shown in the figure, coverage rate
100% is 9 balls, and coverage rate 200% is 18 balls, and coverage rate 300% is 27 balls, and coverage rate 400% is 36 balls.
Consider influence of the blade dimensions to simulation effect, nonreflecting BC is applied in blade side；Apply in bottom surface
Fixed constraint is to reduce concussion.
Contact is defined using finite element software, it is " erosion " to define contact type.
Border is configured using finite element software, for reduce border to simulate effect influence, set blade remove by
Other faces outside spray plane are non-reflective border.
Constraint blade is fixed using finite element software.
Initial velocity is applied to bullet using finite element software；The initial velocity direction is vertical by spray plane with potassium steel blade.
Complete the foundation of FEM model.
Step 2：Finite element analysis
Finite element software is used for the bullet and the material of shot blast machine blade in set up FEM model according to technological requirement
Expect that parameter, bullet size and initial velocity carry out assignment, shot blast machine blade surface is obtained by the spray each list in position using finite element tool
The residual stress σ of member.
Step 3：Stepwise regression analysis
With orthogonal experiment method design technology parameter combination, technological parameter refers to bullet diameter, velocity of shot and coverage rate,
Orthogonal experiment method is that experiment parameter arranges conventional method.
Each group of technological parameter is designed using finite element software, show that different process is joined using the finite element analysis of step 2
The average residual stress of the maximum of several lower potassium steel blade surfaces.
Maximum average optimal regression equation of the residual stress on technological parameter is obtained using regression analysis；Utilize optimal time
Equation is returned to determine shot peening technological parameter, regression analysis is data processing conventional method.
Select quadratic polynomial function to carry out stepwise regression analysis, try to achieve and be compared after regression equation, selection wherein may be used
Reliability and the high and simple regression equation of precision are used as required optimal regression equation.
For influence of the analysis shot-blast process parameter to shot blast machine blade of complete factor, maximum average remnants are established below
Stress and technological parameter (bullet diameter (0.6mm, 0.8mm, 1.0mm and 1.2mm), velocity of shot (50m/s, 70m/s, 90m/s
And 110m/s) relation between coverage rate (100%, 200%, 300% and 400%).Orthogonal experiment arrangement is used herein
Shot-blast process parameter, takes 3 factor, 4 levels, from L16 (34) orthogonal test table, is set up for each group of shot-blast process parameter
Three-dimensional entity model, selects explicit dynamical solver on ABAQUS platforms, carries out mesh generation, sets boundary condition, goes forward side by side
Row numerical simulation, obtains corresponding maximum average residual-stress value, such as table 2.
Technological parameter and result of calculation that table 2 is arranged according to orthogonal experiment
Potassium steel blade shot peening strengthening has shot peening velocity, shot-peening diameter, three input variables of shot-peening time, and an output becomes
Measure as the average residual stress of maximum.The residual stress calculation obtained using the parameter and calculating that are arranged in table 3 by orthogonal experiment
Data, adjustment R side has been carried out to regression model and has examined (the adjustment R side value of two regression models respectively 0.682 He first
0.806,0.806 regression model chosen close to 1 is used as final regression model), after regression model is selected, and to returning
Regression variance and regression coefficient test in model (confidential interval is 95%).
Step 4：The optimal regression equation obtained after regression variance and regression coefficient test is：
Y=376.272+21.793dt+0.015v2
According to optimal regression equation, quantitative analysis can be done to each independent variable and the relation of maximum average residual stress.
Influence relation of the optional argument parameter to potassium steel blade surface residual stress after shot peening strengthening can be analyzed from relational expression.
Step 5：Experimental verification
In order to further verify the correctness of analog result, adopt and experimentally analog result is verified.
Using the pneumatic type shot peening strengthening equipment of certain group, bullet flow is 30kg/min, a diameter of 0.8mm of bullet, spray
Ball pressure is 0.5Mpa.Potassium steel blade top layer after shot-peening is tested using U.S. ASTX2001X ray stress instrument after shot-peening
Residual-stress value, and simulation evaluation is compared with experiment the data obtained stress, it is illustrated in figure 5 analog result and reality
Test results contrast.As seen from Figure 5, analog result and experiment measured result curve are very identical, illustrate simulation computation model rationally,
Optimal regression equation is correct, therefore the need for can realizing according to potassium steel workpiece surface maximum residual stress, utilizes this recurrence
Equation customizes suitable stress peening process parameter.
Claims (3)
1. a kind of potassium steel shot blast machine blade stress peening process determination method for parameter, it is characterized in that：Methods described according to
Lower step is carried out：
1) FEM model is set up：
ABAQUS finite element moulds are set up to bullet and potassium steel blade using the material properties and size of bullet and potassium steel blade
Type, potassium steel blade shot peening strengthening process, the material category of bullet and the potassium steel blade are simulated with set up FEM model
Property is characterized with material parameter, and the material parameter refers to the Young's modulus of bullet and potassium steel blade, Poisson's ratio, close
Degree, yield strength and ultimate strength；
2) finite element analysis：
According to technological requirement use the finite element software for the bullet and the material parameter of potassium steel in the FEM model,
Bullet size and initial velocity carry out assignment, and the average remnants of each node of potassium steel blade surface are obtained using the finite element software
Stress；
3) stepwise regression analysis：
With orthogonal experiment method design technology parameter combination, when the technological parameter refers to bullet diameter, velocity of shot and shot-peening
Between, draw the average residual stress of the maximum of shot blast machine blade under different technical parameters using the finite element analysis described in 2)；
4) maximum average optimal regression equation of the residual stress on the technological parameter is obtained using regression analysis, using described
Optimal regression equation determines optimal shot peening technological parameter, and equation is：
Y=376.272+21.793dt+0.015v2。
2. according to the potassium steel shot blast machine blade stress peening process determination method for parameter described in claim 1, it is characterized in that：
Step 1) described in FEM model include it is a diameter ofBullet, and from potassium steel blade by intercepted on spray plane with
By the cuboid that spray plane is top surface, the square that it is 20mm with plane-parallel and the length of side that the top surface of the cuboid, which is,；It is described
The height of cuboid is 8mm.
3. according to the potassium steel shot blast machine blade stress peening process determination method for parameter described in claim 2, it is characterized in that：
The mesh generation of shot blast machine blade selects C3D8R units, and shot-peening selects C3D4 units.
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Cited By (12)
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| CN108710747A (en) * | 2018-02-08 | 2018-10-26 | 哈尔滨广瀚燃气轮机有限公司 | The method for determining 1Cr12Ni2WMoVNb martensitic stain less steel gas turbine blades shot peening strengthening optimized parameters |
| CN108875199A (en) * | 2018-06-14 | 2018-11-23 | 南昌航空大学 | A kind of visual simulating monitoring system and method for stress peening process |
| CN109583037A (en) * | 2018-11-06 | 2019-04-05 | 西北工业大学 | A kind of parameter control method of blade of aviation engine shot-peening machining deformation |
| CN109918743A (en) * | 2019-02-18 | 2019-06-21 | 武汉理工大学 | The recognition methods of workpiece surface ploughing power in orthogonal cutting based on ABAQUS |
| CN110864843A (en) * | 2019-10-23 | 2020-03-06 | 广州市昊志机电股份有限公司 | Impact force detection method, system and device for flexible wheel shot blasting and storage medium |
| CN111563317A (en) * | 2020-04-14 | 2020-08-21 | 中国北方车辆研究所 | Shot peening strengthening evaluation method for floating support friction plate |
| CN112100885A (en) * | 2020-08-28 | 2020-12-18 | 北京航空航天大学 | Numerical simulation method for surface hardness of high-energy shot blasting |
| CN113063690A (en) * | 2021-04-12 | 2021-07-02 | 湖南南方宇航高精传动有限公司 | Method for calculating process parameters of cylindrical gear strengthening shot blasting |
| CN114372381A (en) * | 2022-03-21 | 2022-04-19 | 天津仁爱学院 | Quality control method based on quadratic polynomial stepwise regression proxy model |
| CN114595614A (en) * | 2022-03-24 | 2022-06-07 | 中南大学 | Simulation method for machining deformation of control frame type workpiece |
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| CN117066751A (en) * | 2023-10-18 | 2023-11-17 | 中国航空制造技术研究院 | Shot blasting forming method for welded wallboard |
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| CN108875199B (en) * | 2018-06-14 | 2022-09-23 | 南昌航空大学 | Visual simulation monitoring system and method for shot peening process |
| CN108875199A (en) * | 2018-06-14 | 2018-11-23 | 南昌航空大学 | A kind of visual simulating monitoring system and method for stress peening process |
| CN109583037A (en) * | 2018-11-06 | 2019-04-05 | 西北工业大学 | A kind of parameter control method of blade of aviation engine shot-peening machining deformation |
| CN109918743A (en) * | 2019-02-18 | 2019-06-21 | 武汉理工大学 | The recognition methods of workpiece surface ploughing power in orthogonal cutting based on ABAQUS |
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| CN110864843B (en) * | 2019-10-23 | 2021-07-09 | 广州市昊志机电股份有限公司 | Impact force detection method, system and device for flexible wheel shot blasting and storage medium |
| CN111563317A (en) * | 2020-04-14 | 2020-08-21 | 中国北方车辆研究所 | Shot peening strengthening evaluation method for floating support friction plate |
| CN112100885A (en) * | 2020-08-28 | 2020-12-18 | 北京航空航天大学 | Numerical simulation method for surface hardness of high-energy shot blasting |
| CN113063690A (en) * | 2021-04-12 | 2021-07-02 | 湖南南方宇航高精传动有限公司 | Method for calculating process parameters of cylindrical gear strengthening shot blasting |
| CN113063690B (en) * | 2021-04-12 | 2021-11-16 | 湖南南方宇航高精传动有限公司 | Method for calculating process parameters of cylindrical gear strengthening shot blasting |
| CN114372381A (en) * | 2022-03-21 | 2022-04-19 | 天津仁爱学院 | Quality control method based on quadratic polynomial stepwise regression proxy model |
| CN114595614A (en) * | 2022-03-24 | 2022-06-07 | 中南大学 | Simulation method for machining deformation of control frame type workpiece |
| CN114595614B (en) * | 2022-03-24 | 2024-04-12 | 中南大学 | Simulation method for processing deformation of control frame type workpiece |
| CN116595827A (en) * | 2023-05-04 | 2023-08-15 | 上海交通大学 | Infinite dimension strip shot peening process planning method and system |
| CN116595827B (en) * | 2023-05-04 | 2024-04-23 | 上海交通大学 | Infinite dimension strip shot peening process planning method and system |
| CN117066751A (en) * | 2023-10-18 | 2023-11-17 | 中国航空制造技术研究院 | Shot blasting forming method for welded wallboard |
| CN117066751B (en) * | 2023-10-18 | 2023-12-15 | 中国航空制造技术研究院 | Shot blasting forming method for welded wallboard |
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