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 PDF

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CN107229783A
CN107229783A CN201710366712.9A CN201710366712A CN107229783A CN 107229783 A CN107229783 A CN 107229783A CN 201710366712 A CN201710366712 A CN 201710366712A CN 107229783 A CN107229783 A CN 107229783A
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shot
potassium steel
finite element
blast machine
blade
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陈洪堂
郭培全
乔阳
王守仁
樊宁
王相宇
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University of Jinan
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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

一种高锰钢抛丸机叶片喷丸强化工艺参数的确定方法A Method for Determining Shot Peening Strengthening Process Parameters of High Manganese Steel Shot Blasting Machine Blades

技术领域technical field

本发明涉及喷丸加工技术领域,尤其是涉及一种高锰钢抛丸机叶片喷丸强化工艺参数的确定方法。The invention relates to the technical field of shot peening processing, in particular to a method for determining process parameters of shot peening strengthening of high manganese steel shot blasting machine blades.

背景技术Background technique

目前国内外抛丸机的应用日益广泛,不再局限于传统的零件表面处理,更广泛应用于维护和修复高速公路、钢桥和机场路面等。抛丸器作为抛丸机的关键部件,其质量与使用寿命直接取决于叶片,而叶片工作时因要承受磨料对其表面的磨损,从而成为抛丸机中最易损坏的部位。据不完全统计,每年国内仅因叶片磨损而消耗的材料价值上千万。而喷丸工艺使工件表面发生塑性变形,形成一层具有加工硬化效果的表面强化层。研究认为,表面强化层的存在不仅提高了工件表面的硬度和耐磨性,更重要的是在工件的表层形成了残余压应力层,残余压应力层能够阻碍疲劳微裂纹的生成和扩展,从而极大地提高零件的表面疲劳抗力。At present, the application of shot blasting machines at home and abroad is becoming more and more extensive. It is no longer limited to the traditional surface treatment of parts, and is more widely used in the maintenance and repair of highways, steel bridges and airport roads. As the key component of the shot blasting machine, the quality and service life of the shot blasting machine directly depend on the blades, and the blades are the most vulnerable parts of the shot blasting machine because they are worn by abrasives on their surface. According to incomplete statistics, the value of materials consumed due to blade wear in China is tens of millions every year. The shot peening process causes plastic deformation on the surface of the workpiece to form a surface strengthening layer with a work hardening effect. It is believed that the existence of the surface strengthening layer not only improves the hardness and wear resistance of the workpiece surface, but more importantly, forms a residual compressive stress layer on the surface of the workpiece, which can hinder the formation and expansion of fatigue microcracks, thereby Greatly improve the surface fatigue resistance of parts.

高锰钢作为一种传统的耐磨材料,在重载、大冲击磨损条件下,韧性高、耐磨性好,广泛应用于冶金、矿山、建材、铁路、电子、煤炭等机械装备中,如破碎机锤头、齿板、轧臼壁、挖掘机斗齿、球磨机衬板和铁路辙叉等。高锰钢属于奥氏体组织的钢种,在高冲击载荷下使用,耐磨性好,安全可靠,它不仅可用较低价的原材料制成且易冶炼,并有较好的铸造性能。因此,高锰钢一直是承受高冲击负荷或者金属与金属直接接触下要求具有高抗磨性的理想材料。As a traditional wear-resistant material, high manganese steel has high toughness and good wear resistance under heavy load and large impact wear conditions. It is widely used in metallurgy, mining, building materials, railways, electronics, coal and other mechanical equipment, such as Crusher hammer, tooth plate, rolling mortar wall, excavator bucket teeth, ball mill liner and railway frog, etc. High manganese steel is an austenitic steel type, used under high impact load, good wear resistance, safe and reliable, it can not only be made of low-cost raw materials and easy to smelt, but also has good casting performance. Therefore, high manganese steel has always been an ideal material for high impact load or metal-to-metal direct contact requiring high wear resistance.

目前,喷丸工程应用主要依靠经验和试喷,存在工艺参数选择不合理、强化效果不理想的问题,并且采用目前的残余应力测试手段和方法,特别是无损检测方法,难以完全掌握三维残余应力场,且经验和试喷需耗费大量的时间和人力,这些因素都极大制约了喷丸技术的发展。At present, the application of shot peening engineering mainly relies on experience and test spraying, and there are problems such as unreasonable selection of process parameters and unsatisfactory strengthening effect, and it is difficult to fully grasp the three-dimensional residual stress by using the current residual stress testing methods and methods, especially the non-destructive testing method. field, and experience and trial spraying take a lot of time and manpower, these factors have greatly restricted the development of shot peening technology.

对于喷丸强化这一高度非线性的动态冲击过程,需要借助于数值仿真手段进行分析,近年来相关学者开展了数值模拟研究取得了较大进展。但由于喷丸强化作用过程复杂且影响因素众多,目前仍然缺乏相关的方法来对喷丸过程的参数进行最优设计。For the highly nonlinear dynamic impact process of shot peening, it needs to be analyzed by means of numerical simulation. In recent years, relevant scholars have carried out numerical simulation research and made great progress. However, due to the complexity of the shot peening process and the many influencing factors, there is still a lack of relevant methods to optimally design the parameters of the shot peening process.

发明内容Contents of the invention

本发明的目的在于克服现有技术中存在的缺点,提供一种基于ABAQUS有限元分析的喷丸强化处理工艺参数确定方法,该模拟方法根据应力等效原理,通过弹丸撞击法建立喷丸强化残余应力有限元模型,模拟得到不同喷丸工艺参数下的残余应力分布,从而确定高锰钢叶片最佳喷丸工艺参数,以提高高锰钢叶片的使用寿命,且还可以实现根据高锰钢工件表层最大残余应力的需要,定制合适的喷丸强化工艺参数。采用的技术方案是:一种高锰钢抛丸机叶片喷丸强化工艺参数的确定方法,其特征是:所述方法按照以下步骤进行:The object of the present invention is to overcome the shortcoming that exists in the prior art, provide a kind of shot peening treatment process parameter determination method based on ABAQUS finite element analysis, this simulation method is based on the principle of stress equivalence, establishes the residual shot peening strengthening by the projectile impact method The stress finite element model simulates the residual stress distribution under different shot peening process parameters, so as to determine the optimal shot peening process parameters of high manganese steel blades, so as to improve the service life of high manganese steel blades, and can also realize the high manganese steel workpiece According to the requirement of the maximum residual stress of the surface layer, the appropriate shot peening process parameters can be customized. The technical solution adopted is: a method for determining the process parameters of shot peening strengthening of high manganese steel shot blasting machine blades, which is characterized in that: the method is carried out according to the following steps:

1)建立有限元模型:1) Establish a finite element model:

利用弹丸及高锰钢叶片的材料属性及尺寸对弹丸及高锰钢叶片建立ABAQUS有限元模型,以所建立有限元模型模拟高锰钢叶片喷丸强化过程,所述弹丸及高锰钢叶片的材料属性是以材料参数进行表征,所述材料参数是指弹丸及高锰钢叶片的杨氏模量、泊松比、密度、屈服强度以及极限强度;Utilize the material properties and dimensions of the projectile and the high manganese steel blade to establish the ABAQUS finite element model for the projectile and the high manganese steel blade, and use the established finite element model to simulate the shot peening process of the high manganese steel blade. Material properties are characterized by material parameters, which refer to Young's modulus, Poisson's ratio, density, yield strength and ultimate strength of projectiles and high manganese steel blades;

2)有限元分析:2) Finite element analysis:

根据工艺要求采用所述有限元软件为所述有限元模型中的弹丸及高锰钢的材料参数、弹丸大小及初速度进行赋值,利用所述有限元软件获得高锰钢叶片表面各节点的平均残余应力;According to the process requirements, the finite element software is used to assign values to the material parameters, projectile size and initial velocity of the projectile and high manganese steel in the finite element model, and the average value of each node on the surface of the high manganese steel blade is obtained by using the finite element software. Residual Stress;

3)逐步回归分析:3) Stepwise regression analysis:

运用正交实验法设计工艺参数组合,所述工艺参数是指弹丸直径、弹丸速度和喷丸时间,利用2)所述的有限元分析得出不同工艺参数下抛丸机叶片的最大平均残余应力;Use orthogonal experimental method to design process parameter combination, described process parameter refers to projectile diameter, projectile velocity and shot peening time, utilizes 2) described finite element analysis to obtain the maximum average residual stress of shot blasting machine blade under different process parameters ;

4)采用回归分析得到最大平均残余应力关于所述工艺参数的最优回归方程,利用所述最优回归方程确定最佳喷丸强化处理工艺参数,方程为:4) Regression analysis is adopted to obtain the optimal regression equation of the maximum average residual stress about the process parameters, and the optimal regression equation is used to determine the optimal shot peening process parameters, and the equation is:

y=376.272+21.793dt+0.015v2y=376.272+21.793dt+0.015v 2 .

本发明的技术特征还有:步骤1)中所述有限元模型包括直径为的弹丸,以及从高锰钢叶片受喷面上截取的以受喷面为顶面的长方体,所述长方体的顶面是与水平面平行且边长为20mm的正方形;所述长方体的高度为8mm。The technical characterictic of the present invention also has: the finite element model described in step 1) includes diameter projectile, and a cuboid cut from the sprayed surface of the high manganese steel blade with the sprayed surface as the top surface, the top surface of the cuboid is a square parallel to the horizontal plane with a side length of 20mm; the height of the cuboid is 8mm .

本发明的技术特征还有:抛丸机叶片的网格划分选用C3D8R单元,喷丸选用C3D4单元。The technical features of the present invention also include: the grid division of the blade of the shot blasting machine adopts the C3D8R unit, and the shot blasting selects the C3D4 unit.

本发明的有益效果在于:本发明提出的一种基于有限元分析的抛丸机叶片喷丸强化的有限元模拟方法,利用成熟的弹丸撞击法得到不同喷丸工艺参数下的高锰钢叶片残余应力分布,避免实际生产中常用的喷丸试验方法所伴随的成本过高,消耗大量的人力和物力的问题;本发明把多种形式的多项式逐步回归方法引入喷丸工艺参数最优方程的选取,得到更加精确的回归方程,增加了获得喷丸工艺参数的实用性;本发明采用正交实验安排喷丸工艺参数,运用逐步回归分析方法进行回归,最后得到最优回归方程,可以对最大平均残余应力进行定量研究,根据最大平均残余应力的需要,可以任意定制工艺参数本发明公开的该模拟方法具有快速化、低成本、简便易行、计算准确的特点,工程实际应用效果好。The beneficial effect of the present invention is that: a finite element simulation method based on finite element analysis of shot peening strengthening of shot blasting machine blades proposed by the present invention uses the mature projectile impact method to obtain the residual high manganese steel blades under different shot peening process parameters Stress distribution, avoiding the problems of high cost and consuming a lot of manpower and material resources associated with the shot peening test method commonly used in actual production; the present invention introduces various forms of polynomial stepwise regression methods into the selection of the optimal equation of shot peening process parameters , to obtain a more accurate regression equation, which increases the practicability of obtaining the shot peening process parameters; the present invention adopts an orthogonal experiment to arrange the shot peening process parameters, uses a stepwise regression analysis method to perform regression, and finally obtains the optimal regression equation, which can be used for the maximum average The residual stress is quantitatively studied, and the process parameters can be customized arbitrarily according to the requirement of the maximum average residual stress. The simulation method disclosed in the present invention has the characteristics of rapidity, low cost, simplicity and accuracy of calculation, and has good engineering practical application effect.

附图说明Description of drawings

附图1是本发明中覆盖率100%的有限元模型;附图2是本发明中覆盖率200%的有限元模型;附图3是本发明中覆盖率300%的有限元模型;附图4是本发明中覆盖率400%的有限元模型;附图5是模拟结果和实验结果比较示意图。Accompanying drawing 1 is the finite element model of coverage rate 100% among the present invention; Accompanying drawing 2 is the finite element model of coverage rate 200% among the present invention; Accompanying drawing 3 is the finite element model of coverage rate 300% among the present invention; Accompanying drawing 4 is a finite element model with a coverage rate of 400% in the present invention; accompanying drawing 5 is a schematic diagram comparing simulation results and experimental results.

具体实施方式detailed description

下面结合附图,对本发明的具体实施方式进行说明。The specific implementation manners of the present invention will be described below in conjunction with the accompanying drawings.

基于ABAQUS有限元分析的抛丸机叶片喷丸强化处理工艺参数确定方法是按如下步骤进行:Based on ABAQUS finite element analysis, the determination method of shot blasting machine blade shot peening treatment process parameters is carried out in the following steps:

喷丸强化残余应力有限元模拟Finite Element Simulation of Shot Peening Residual Stress

在ABAQUS动态显示分析中,通过定义弹丸的初始速度来模拟弹丸与高锰钢叶片表面撞击过程中所产生的冲击载荷,同时采用库仑摩擦模型来描述弹丸和高锰钢叶片之间的接触情况,减少两接触面之间的切向运动,使计算得到的结果更加稳定;高锰钢叶片单元类型为C3D8R,在弹丸撞击区域采用局部细化网格方式划分单元。在实际喷丸强化过程中,弹丸材料为钢丝切丸,硬度较高,并且屈服强度及抗拉强度都很高,碰撞后变形很小。在有限元模拟过程中将弹丸约束成刚性体,并且忽略重力加速度的影响,接触前假定保持匀速运动;通过喷丸强化残余应力有限元模拟得到残余应力分布结果。In the ABAQUS dynamic display analysis, the impact load generated during the collision between the projectile and the surface of the high manganese steel blade is simulated by defining the initial velocity of the projectile, and the Coulomb friction model is used to describe the contact between the projectile and the high manganese steel blade. The tangential motion between the two contact surfaces is reduced to make the calculated results more stable; the element type of the high manganese steel blade is C3D8R, and the local fine mesh is used to divide the element in the projectile impact area. In the actual shot peening process, the shot material is steel wire cut shot with high hardness, high yield strength and tensile strength, and little deformation after collision. In the process of finite element simulation, the projectile is constrained into a rigid body, and the influence of gravitational acceleration is ignored, and the uniform motion is assumed before contact; the residual stress distribution result is obtained through the finite element simulation of shot peening residual stress.

步骤1:建立有限元模型Step 1: Build a finite element model

利用弹丸及高锰钢叶片的材料属性对弹丸及抛丸机叶片建立有限元模型,以所建立有限元模型模拟整个高锰钢叶片喷丸强化过程,并采用非反射边界条件、对称面和固定约束减小边界对于模拟效果的影响;弹丸及高锰钢的材料属性以材料参数表征,材料参数是指弹丸及高锰钢的杨氏模量、泊松比、密度、屈服强度以及极限强度,具体参数如表1所示。Using the material properties of projectiles and high manganese steel blades to establish a finite element model for projectiles and shot blasting machine blades, use the established finite element model to simulate the entire process of shot peening of high manganese steel blades, and use non-reflective boundary conditions, symmetry planes and fixed Constraints reduce the influence of boundaries on simulation results; the material properties of projectiles and high manganese steel are characterized by material parameters, which refer to Young's modulus, Poisson's ratio, density, yield strength and ultimate strength of projectiles and high manganese steel. The specific parameters are shown in Table 1.

表1高锰钢及弹丸材料工艺参数Table 1 Process parameters of high manganese steel and projectile materials

建立实体模型:叶片尺寸为20×20×8mm,弹丸直径根据正交试验表设定为0.6mm、0.8mm、1.0mm和1.2mm,喷丸覆盖分别为100%、200%、300%和400%,如图1,图2,图3和图4所示为喷丸覆盖分别为100%、200%、300%和400%的有限元模型。覆盖率为100%的模型为四层弹丸,以及从叶片上截取的以受喷面为顶面的六面体,六面体的顶面是与水平面平行、且边长为20mm的正方形;六面体的高度为8mm;弹丸排列方法如图所示交错排列,覆盖率100%为9球,覆盖率200%为18球,覆盖率300%为27球,覆盖率400%为36球。Establish a solid model: the size of the blade is 20×20×8mm, the diameter of the projectile is set to 0.6mm, 0.8mm, 1.0mm and 1.2mm according to the orthogonal test table, and the shot peening coverage is 100%, 200%, 300% and 400 %, Fig. 1, Fig. 2, Fig. 3 and Fig. 4 show the finite element models with shot peening coverage of 100%, 200%, 300% and 400%, respectively. The model with a coverage rate of 100% is a four-layer projectile and a hexahedron cut from the blade with the sprayed surface as the top surface. The top surface of the hexahedron is a square parallel to the horizontal plane with a side length of 20mm; the height of the hexahedron is 8mm ;The projectile arrangement method is staggered as shown in the figure, 100% coverage is 9 balls, 200% coverage is 18 balls, 300% coverage is 27 balls, and 400% coverage is 36 balls.

考虑叶片尺寸对模拟效果的影响,在叶片侧面施加非反射边界条件;在底面施加固定约束以减小震荡。Considering the influence of the blade size on the simulation effect, a non-reflective boundary condition is imposed on the blade side; a fixed constraint is imposed on the bottom surface to reduce the vibration.

采用有限元软件对接触进行定义,定义接触类型为“侵蚀”。The finite element software is used to define the contact, and the contact type is defined as "erosion".

采用有限元软件对边界进行设置,为减少边界对模拟效果的影响,设置叶片除受喷面之外的其它面为非反射边界。The finite element software is used to set the boundary. In order to reduce the influence of the boundary on the simulation effect, the other surfaces of the blade except the sprayed surface are set as non-reflective boundaries.

采用有限元软件对叶片进行固定约束。Finite element software is used to fix the constraints on the blades.

采用有限元软件对弹丸施加初速度;所述初速度方向与高锰钢叶片受喷面垂直。The finite element software is used to apply an initial velocity to the projectile; the direction of the initial velocity is perpendicular to the sprayed surface of the high manganese steel blade.

完成有限元模型的建立。Complete the establishment of the finite element model.

步骤2:有限元分析Step 2: Finite Element Analysis

根据工艺要求采用有限元软件为所建立有限元模型中的弹丸及抛丸机叶片的材料参数、弹丸大小及初速度进行赋值,利用有限元工具获得抛丸机叶片表面受喷部位各单元的残余应力σ。According to the process requirements, the finite element software is used to assign the material parameters, projectile size and initial velocity of the projectile and the shot blasting machine blade in the established finite element model. Stress σ.

步骤3:逐步回归分析Step 3: Stepwise regression analysis

运用正交实验法设计工艺参数组合,工艺参数是指弹丸直径、弹丸速度和覆盖率,正交实验法为实验参数安排常规方法。Orthogonal experiment method is used to design the combination of process parameters. Process parameters refer to projectile diameter, projectile velocity and coverage rate. Orthogonal experiment method is a conventional method for experimental parameter arrangement.

采用有限元软件设计每一组工艺参数,利用步骤2的有限元分析得出不同工艺参数下高锰钢叶片表面的最大平均残余应力。Use finite element software to design each set of process parameters, and use the finite element analysis in step 2 to obtain the maximum average residual stress on the surface of high manganese steel blades under different process parameters.

采用回归分析得到最大平均残余应力关于工艺参数的最优回归方程;利用最优回归方程确定喷丸强化处理工艺参数,回归分析为数据处理常规方法。Regression analysis is used to obtain the optimal regression equation of the maximum average residual stress with respect to process parameters; the optimal regression equation is used to determine the process parameters of shot peening treatment, and regression analysis is a routine method for data processing.

选择二次多项式函数进行逐步回归分析,求得回归方程后进行比较,选择其中可信度和精度高并且简单的回归方程作为所求的最优回归方程。Choose the quadratic polynomial function for stepwise regression analysis, obtain the regression equations and compare them, and choose the simple regression equation with high reliability and precision as the optimal regression equation.

为了完全因素的分析喷丸工艺参数对抛丸机叶片的影响,下面建立最大平均残余应力与工艺参数(弹丸直径(0.6mm、0.8mm、1.0mm和1.2mm)、弹丸速度(50m/s、70m/s、90m/s和110m/s)和覆盖率(100%、200%、300%和400%)之间的关系。本文采用正交试验法安排喷丸工艺参数,取3因素4个水平,选用L16(34)正交试验表,针对每一组喷丸工艺参数建立三维实体模型,在ABAQUS平台上选用显式动力求解器,进行网格划分、设置边界条件,并进行数值模拟,得到相应的最大平均残余应力值,如表2。In order to analyze the impact of shot peening process parameters on the blades of shot blasting machines with complete factors, the following establishes the maximum average residual stress and process parameters (projectile diameter (0.6mm, 0.8mm, 1.0mm and 1.2mm), projectile speed (50m/s, 70m/s, 90m/s and 110m/s) and coverage (100%, 200%, 300% and 400%). This paper adopts the orthogonal test method to arrange the shot peening process parameters, taking 3 factors and 4 Level, choose the L16 (34) orthogonal test table, establish a three-dimensional solid model for each group of shot peening process parameters, use the explicit dynamic solver on the ABAQUS platform, perform grid division, set boundary conditions, and perform numerical simulation. The corresponding maximum average residual stress value is obtained, as shown in Table 2.

表2按照正交实验安排的工艺参数及计算结果Table 2 Process parameters and calculation results arranged according to the orthogonal experiment

高锰钢叶片喷丸强化有喷丸速度、喷丸直径、喷丸时间三个输入变量,一个输出变量为最大平均残余应力。采用表3中按正交试验法安排的参数和计算得到的残余应力计算数据,首先对回归模型进行了调整R方检验(两个回归模型的调整R方值分别为0.682和0.806,选取接近1的0.806的回归模型作为最终的回归模型),回归模型选定以后,并对回归模型中的回归方差和回归系数检验(置信区间为95%)。There are three input variables for shot peening of high manganese steel blades: shot peening speed, shot peening diameter, and shot peening time, and one output variable is the maximum average residual stress. Using the parameters arranged by the orthogonal test method in Table 3 and the calculated residual stress calculation data, the regression model was first adjusted for the R-square test (the adjusted R-square values of the two regression models were 0.682 and 0.806 respectively, and the values close to 1 The regression model of 0.806 is used as the final regression model), and after the regression model is selected, the regression variance and regression coefficient in the regression model are tested (the confidence interval is 95%).

步骤4:回归方差和回归系数检验之后得到的最优回归方程为:Step 4: The optimal regression equation obtained after regression variance and regression coefficient inspection is:

y=376.272+21.793dt+0.015v2 y=376.272+21.793dt+0.015v 2

根据最优回归方程,可以对各自变量与最大平均残余应力的关系做定量的分析。从关系式可以分析任意自变量参数对喷丸强化后高锰钢叶片表层残余应力的影响关系。According to the optimal regression equation, the relationship between each variable and the maximum average residual stress can be quantitatively analyzed. The influence of any independent variable parameter on the surface residual stress of the high manganese steel blade after shot peening can be analyzed from the relational expression.

步骤5:实验验证Step 5: Experimental verification

为了进一步验证模拟结果的正确性,采用实验的方法对模拟结果进行验证。In order to further verify the correctness of the simulation results, the simulation results are verified by experiments.

采用某集团的气动式喷丸强化设备,弹丸流量为30kg/min,弹丸直径为0.8mm,喷丸压力为0.5Mpa。喷丸之后采用美国ASTX2001X射线应力仪测试喷丸后高锰钢叶片表层的残余应力值,并把模拟计算数值与实验所得数据应力进行比较,如图5所示为模拟结果与实验结果比较。由图5可见,模拟结果与实验所测结果曲线十分吻合,说明模拟计算模型合理,最优回归方程正确,因此可以实现根据高锰钢工件表层最大残余应力的需要,利用本回归方程定制合适的喷丸强化工艺参数。The pneumatic shot peening equipment of a certain group is adopted, the shot flow rate is 30kg/min, the shot diameter is 0.8mm, and the shot peening pressure is 0.5Mpa. After shot peening, the American ASTX2001 X-ray stress meter was used to test the residual stress value of the surface layer of the high manganese steel blade after shot peening, and the simulated calculated value was compared with the stress obtained from the experimental data. Figure 5 shows the comparison between the simulated results and the experimental results. It can be seen from Figure 5 that the simulation results are in good agreement with the experimental results, indicating that the simulation calculation model is reasonable and the optimal regression equation is correct. Therefore, it is possible to use this regression equation to customize a suitable Shot peening process parameters.

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)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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 Recognition method of ploughing force on workpiece surface 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 A simulation method for controlling the machining deformation of frame-like workpieces
CN116595827A (en) * 2023-05-04 2023-08-15 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

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104484538A (en) * 2014-12-29 2015-04-01 滁州汽车与家电技术及装备研究院 Shot peening strengthening treatment process parameter determination method based on finite element analysis
CN104866652A (en) * 2015-04-29 2015-08-26 西北工业大学 Finite element simulation method for shot-peening strengthening deformation based on ABAQUS
CN106649994A (en) * 2016-11-16 2017-05-10 西北工业大学 Predicting method of titanium alloy shot peening strengthening remnant stress field

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104484538A (en) * 2014-12-29 2015-04-01 滁州汽车与家电技术及装备研究院 Shot peening strengthening treatment process parameter determination method based on finite element analysis
CN104866652A (en) * 2015-04-29 2015-08-26 西北工业大学 Finite element simulation method for shot-peening strengthening deformation based on ABAQUS
CN106649994A (en) * 2016-11-16 2017-05-10 西北工业大学 Predicting method of titanium alloy shot peening strengthening remnant stress field

Non-Patent Citations (6)

* Cited by examiner, † Cited by third party
Title
凌祥 等: "喷丸三维残余应力场的有限元模拟", 《机械工程学报》 *
李源 等: "弹丸束喷丸有限元模型数值模拟及试验研究", 《机械工程学报》 *
洪滔 等: "喷丸强化过程的有限元和离散元模拟", 《中国机械工程》 *
王利平 等: "喷丸残余应力场 SPH/FEM 耦合建模与仿真", 《郑州大学学报(工学版)》 *
赵韩 等: "304不锈钢板材喷丸强化处理最佳工艺参数研究", 《合肥工业大学学报(自然科学版)》 *
闫五柱 等: "喷丸过程中的能量转化及残余应力分布研究", 《振动与冲击》 *

Cited By (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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CN108875199B (en) * 2018-06-14 2022-09-23 南昌航空大学 A visual simulation monitoring system and method for shot peening process
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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
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
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