This application is based upon and claims priority to Chinese Patent Application No. 201910579872.0, filed on Jun. 28, 2019, the entire contents of which are incorporated herein by reference.
The present invention belongs to the field of machined surface integrity, and more particularly, to a method for modeling and analyzing the generalized microscopic stress concentration phenomenon on a machined surface.
For a given material, the machined surface integrity is a major factor in the fatigue performance of the specimen. Specifically, the micro-morphology of the machined surface affects the fatigue performance of the specimen by changing the microscopic stress concentration factor of the surface, which is referred to as the geometric microscopic stress concentration phenomenon of the surface.
The geometric microscopic stress concentration phenomenon is the theory of study relating to how the microscopic geometric morphology of the machined surface affects the fatigue performance of the specimen. The theory of study is deficient, however, in the manner in which the machined surface integrity affects the fatigue performance of the specimen. The main reason is that in the process of turning, milling, grinding and even surface strengthening, the plastic deformation with a high strain rate causes the properties of the surface material to change significantly. The microscopic stress concentration of the surface is caused by the surface roughness, as well as the severe plastic deformation strengthening (without considering the factors of surface microcracks) of the machined surface, which is referred to as the strengthening stress concentration phenomenon.
The strengthening stress concentration phenomenon will also significantly affect the fatigue performance of the specimen, which has long been neglected by researchers.
In order to solve the deficiency of the prior art in researching the geometric microscopic stress concentration phenomenon, the first aspect of the present invention provides a method for modeling the generalized microscopic stress concentration phenomenon on the machined surface, and the second aspect of the present invention provides a method for analyzing the generalized microscopic stress concentration phenomenon on the machined surface.
In order to achieve the above objectives, the present invention provides a method for modeling a generalized microscopic stress concentration phenomenon on a machined surface, including the following steps:
Optionally, before step S3, an identification method of the plastic deformation layer is adopted to identify the plastic deformation layer of the surface of the machined specimen, wherein the identification method includes the following steps:
Optionally, the plurality of sub-plastic deformation layers include: a zeroth sub-plastic deformation layer, a first sub-plastic deformation layer, a second sub-plastic deformation layer, a third sub-plastic deformation layer and a fourth sub-plastic deformation layer; and
Optionally, in step S4, the stress-strain curve of each sub-plastic deformation layer is obtained, wherein
Optionally, the two-dimensional layered finite element analysis model is formed by contacting five surface elements with an identical length but different heights; wherein,
A method for analyzing a generalized microscopic stress concentration phenomenon on a machined surface by using the two-dimensional layered finite element analysis model obtained by the aforementioned modeling method, including the following steps:
Optionally, in step 101, the mechanical property parameters include one or more of the following parameters: a density, a Young's modulus and a Poisson's ratio of the matrix material structure of the specimen to be machined, the stress-strain curve of each sub-plastic deformation layer, a size of the model, a loaded strain value ε, and the theoretical stress value σ0 under the strain condition.
Optionally, in step 102 the test condition is as follows: a displacement constraint in a direction away from the model is applied to both sides of the two-dimensional layered finite element analysis model, wherein the displacement constraint l is obtained by formula 1;
Optionally, in step 104, the generalized microscopic stress concentration factor Kt of the machined surface is obtained by formula 2;
K
t=σmax/σ0; formula 2
The advantages of the present invention are as follows. In the first aspect, the method of the present invention synthesizes the stress concentration phenomenon produced by the microscopic geometric morphology of the surface and the stress concentration phenomenon formed by the plastic strengthening of the surface, so as to form a mechanism analysis model of the influence that the generalized microscopic stress concentration phenomenon of the machined surface has on the fatigue performance of the specimen, which makes up for the deficiency of using the geometric microscopic stress concentration phenomenon in the research.
In the second aspect, the method for analyzing the generalized microscopic stress concentration phenomenon on the machined surface adopts the two-dimensional layered finite element analysis model to achieve the comprehensive analysis of the rule on how the important indexes of the surface integrity affect the fatigue performance of the specimen, which reasonably reveals the mechanism of the influence that the surface integrity has on the fatigue performance of the specimen and provides significant guidance for studying the mechanism of the influence that the machined surface integrity has on the fatigue performance of the specimen.
In order to clearly illustrate the present invention and facilitate its understanding, the invention is described in detail in combination with the drawings and through specific embodiments.
The present embodiment provides a method for modeling the generalized microscopic stress concentration phenomenon on the machined surface. The present embodiment is mainly executed by a computer. Understandably, a curve can be obtained in advance through a normal tensile test and input/transmitted to the computer. As shown in
S1: a true stress-strain curve of a matrix material structure of a specimen to be machined is obtained.
S2: a micro-topography curve of a machined surface of a machined specimen is obtained, wherein the machined specimen is obtained after the specimen to be machined is machined in advance. For example, the specimen to be machined is machined by using the corresponding technological methods and parameters in advance to obtain the machined specimen.
S3: a plastic deformation layer of a surface of the machined specimen is processed by using the layering criterion of the plastic deformation layer of the machined surface to obtain a plurality of sub-plastic deformation layers.
Preferably, before step S3, the identification method of the plastic deformation layer is adopted to identify the plastic deformation layer of the surface of the machined specimen, wherein the identification method includes the following steps:
For example, starting from the boundary between the matrix material structure and the plastic deformation, the plastic deformation layer is divided into a plurality of sub-plastic deformation layers according to the angle θ between the fibrous direction of the grains in the material structure and the normal direction of the machined surface.
For example, the plurality of sub-plastic deformation layers include: a zeroth sub-plastic deformation layer, a first sub-plastic deformation layer, a second sub-plastic deformation layer, a third sub-plastic deformation layer and a fourth sub-plastic deformation layer; and
S4: according to the true stress-strain curve of the specimen to be machined and the plurality of sub-plastic deformation layers, a stress-strain curve of each sub-plastic deformation layer is obtained.
Preferably, in step S4, the stress-strain curve of each sub-plastic deformation layer is obtained, wherein
S5: according to the micro-topography curve of the machined surface of the machined specimen, the attribute information of the matrix material structure, the stress-strain curve of each sub-plastic deformation layer and the corresponding thickness of each sub-plastic deformation layer, a two-dimensional layered finite element analysis model is constructed for the analysis of the machined surface of the machined specimen.
Preferably, the two-dimensional layered finite element analysis model is formed by contacting five surface elements with the same length but different heights.
From bottom to top, the five surface elements correspond to the zeroth sub-plastic deformation layer, the first sub-plastic deformation layer, the second sub-plastic deformation layer, the third sub-plastic deformation layer and the fourth sub-plastic deformation layer in order, and the height ratio of each surface element is equal to the thickness ratio of the corresponding sub-plastic deformation layer.
The upper edge of the top surface element corresponding to the fourth sub-plastic deformation layer is the micro-topography curve of the machined surface.
The present embodiment provides a method for analyzing the generalized microscopic stress concentration phenomenon on the machined surface, that is, analyzing the two-dimensional layered finite element analysis model obtained by the method in embodiment 1. As shown in
Step 201: the mechanical property parameters of the machined specimen are added to the two-dimensional layered finite element analysis model to obtain a model simulating the surface of the machined specimen.
Preferably, in step 201, the mechanical property parameters include one or more of the following parameters: the density, the Young's modulus and the Poisson's ratio of the matrix material structure of the specimen to be machined, the stress-strain curve of each sub-plastic deformation layer, the size of the model, the loaded strain value ε, and the theoretical stress value σ0 under the strain condition. In the specific implementation process, according to the analysis requirements and the initial conditions, the required parameters and load conditions of the model simulating the machined surface of the specimen are determined.
For example, the test condition in the present embodiment is as follows: a displacement constraint in a direction away from the model is applied to both sides of the two-dimensional layered finite element analysis model, wherein the displacement constraint l is calculated by formula 1;
Step 202: according to the test condition of the machined specimen, the test condition is applied to the model simulating the surface of the machined specimen, and the stress distribution information of the model simulating the surface of the machined specimen is obtained through calculation.
Step 203: the maximum stress position point and the stress value σmax corresponding to the maximum stress position point are obtained according to the stress distribution information of the model simulating the surface of the machined specimen.
Step 204: the stress value corresponding to the maximum stress position point is compared with the theoretical stress value corresponding to the stress-strain curve of the matrix material structure of the specimen to be machined, the generalized microscopic stress concentration factor Kt of the machined surface of the specimen to be machined is obtained.
Preferably, the generalized microscopic stress concentration factor Kt of the machined surface is obtained by formula 2;
K
t=σmax/σ0; formula 2
A Ti-6Al-4V titanium alloy (hereinafter, referred to as TC4 titanium alloy) is taken as the specimen to be machined in the present embodiment specifically, the steps of constructing a two-dimensional layered finite element analysis model for analyzing the machined specimen made of the TC4 titanium alloy includes:
301: the test material is the TC4 titanium alloy, and the true stress-strain curve of the TC4 titanium alloy is obtained by using the normal tensile test.
302: under the conditions of a cutting speed of 20 m/min, a feed rate of 0.08 mm/r and a cutting depth of 0.1 mm, the TC4 titanium alloy is machined in the turning process to obtain the machined specimen of the TC4 titanium alloy, and then the micro-topography curve of the surface of the machined specimen of the TC4 titanium alloy is measured.
303: the plastic deformation degree and the influence depth of the cross-section metallographic structure of the machined specimen are observed after the turning; starting from the boundary between the matrix material structure and the plastic deformation of the structure, the plastic deformation layer is quantitatively layered to obtain five sub-plastic deformation layers according to the angle θ between the fibrous direction of the grains in the material structure and the normal direction of the machined surface.
As shown in
After measuring, the thickness of the zeroth plastic deformation layer is 50 μm, and the thicknesses of the first plastic deformation layer to the fourth plastic deformation layer are 1 μm, 2 μm, 5 μm and 10 μm, respectively.
304: based on the true stress-strain curve of the TC4 titanium alloy, according to the quantitatively layered thickness ratio of 1:2:5:10 of the first sub-plastic deformation layer to the second sub-plastic deformation layer to the third sub-plastic deformation layer and to the fourth sub-plastic deformation layer, the plastic deformation strengthening portion of the true stress-strain curve of the test matrix material is segmented in equal proportion on the coordinate axis of the strain variable.
As shown in
305: a two-dimensional layered finite element analysis model is established, wherein the two-dimensional layered finite element analysis model includes the micro-topography curve of the machined surface, the plastic deformation layer of the surface, and the matrix material structure. As shown in
The required parameters and load conditions of the simulation model in the present embodiment are as follows: the TC4 titanium alloy has the density of 4.43 g/cm3, the Young's modulus of 110 GPa and the Poisson's ratio of 0.34, the thickness of the zeroth sub-plastic deformation layer is 50 μm, the length of the model is 2000 μm, the strain value F to be loaded is 0.02, and the theoretical stress value is 825 MPa under this strain condition.
Further, the two-dimensional layered finite element analysis model based on step 305 is analyzed by the following steps:
306: the model is subdivided into meshes, and the displacement constraint with the length l of 20 μm in the direction far away from the model is loaded on both sides of the model, and proceed to solve and calculate the model.
307: the maximum stress position point is located on the machined surface and the maximum stress σmax=1039.7 MPa.
308: the generalized microscopic stress concentration factor of the machined surface of the TC4 titanium alloy is calculated as Kt=σmax/σ0=1.26.
Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than limit the same. Although the present invention is described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still make the modification of the technical solution recorded in the aforementioned embodiments, or equivalent replacements of some or all of the technical features in the aforementioned embodiments. These modifications or replacements do not deviate from the essence nor from the scope of the technical solution of the embodiments of the present invention.
Number | Date | Country | Kind |
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201910579872.0 | Jun 2019 | CN | national |