Method for acquiring forging deformation of hard-alpha defect of titanium alloy

Abstract

The invention relates to the technical field of safety airworthiness evaluation of aero-engine life-limiting parts, in particular to a titanium alloy hard-alpha defect forging deformation obtaining method which comprises the steps that condition parameters of titanium alloy hard-alpha defect forging deformation finite element simulation are determined; respectively establishing geometric models of the titanium alloy forge piece and the titanium alloy hard-alpha defect area, wherein a titanium alloy hard-alpha defect is arranged at the central position of the titanium alloy hard-alpha defect area; finite element simulation is conducted on the titanium alloy forge piece and the titanium alloy hard-alpha defect area, and an equivalent stress field in the forging process is obtained; determining the stress information of the titanium alloy hard-alpha defect area according to the equivalent stress field; finite element simulation is conducted on the titanium alloy hard-alpha defect area, and the deformation amount of the titanium alloy hard-alpha defect in the forging process is obtained; according to the method, the calculation efficiency and precision of the titanium alloy hard-alpha defect forging deformation can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of airworthiness assessment of safety for limited-life components of aeroengines, and particularly relates to a method for obtaining the forging deformation amount of hard-α defects in titanium alloy. Background Art

[0002] Limited-life components refer to the main rotor and stator structural components whose primary failure may endanger the safety of an aeroengine. As a typical limited-life component, the titanium alloy disk may introduce hard-α defects during the production process, and such defects may lead to fatigue failure of the disk, endangering the safety of the engine.

[0003] The core of the failure risk assessment of titanium alloy limited-life components includes: accumulating the size distribution curve of hard-α defects in titanium alloy under the current industrial level; regarding the hard-α defects in the titanium alloy component as cracks in the structure, and dealing with the low-cycle fatigue failure of the titanium alloy component under the condition of an initial crack body; and then calculating the failure risk of the titanium alloy limited-life component.

[0004] Among them, the hard-α defect distribution curve of titanium alloy is the core input of the failure risk assessment. Hard-α defects are usually introduced during the melting process of the titanium alloy disk material. During the forging process of the disk, their sizes will change, thus affecting the hard-α defect distribution curve, resulting in a change in the initial size of the structure crack, and significantly affecting the failure risk of the limited-life component. Therefore, in order to obtain the hard-α defect distribution curve reflecting the industrial level, it is necessary to establish a deformation model of hard-α defects during the forging process.

[0005] At present, a number of studies have been carried out on hard-α defects in titanium alloy. By experimental methods, the deformation behavior of hard-α defects in titanium alloy during forging and service is analyzed, and a hard-α defect deformation model considering only a single factor of forging deformation amount is formed. However, when studying the forging deformation of hard-α defects in titanium alloy by experimental methods, it is necessary to prepare titanium alloy test pieces containing hard-α defects by artificially implanting defects. The preparation process of the test pieces is complex and the cost is high. Moreover, during the forging process, various factors such as forging temperature and forging deformation amount will affect the deformation amount of hard-α defects. Using experimental methods to study requires a large number of test pieces, resulting in high capital and time costs, which brings difficulties to the establishment of an independent hard-α defect deformation model. In addition, the scale of titanium alloy forgings is generally several hundred millimeters, while the scale of hard-α defects is concentrated at about 1 millimeter. Most traditional finite element methods use macroscopic models. Due to the tiny size of hard-α defects, it is difficult to accurately capture the deformation behavior of hard-α defects during the forging process by simulation, and the calculation efficiency and accuracy cannot meet the requirements of the industry.

[0006] Therefore, it is urgent to form an efficient and accurate deformation simulation method for hard-α defects in the forging process to calculate the deformation amount of hard-α defects in titanium alloy during forging processing, so as to obtain the deformation model of hard-α defects in the forging process, correct the distribution curve of hard-α defects, and provide more accurate defect distribution input data for the failure risk assessment of titanium alloy life-limited parts. Summary of the Invention

[0007] In view of the above problems, the present invention provides a method for obtaining the forging deformation amount of hard-α defects in titanium alloy, which solves the technical problems of low calculation efficiency and accuracy of the forging deformation amount of hard-α defects in titanium alloy in the prior art.

[0008] The present invention provides a method for obtaining the forging deformation amount of hard-α defects in titanium alloy, which is characterized by including the following steps:

[0009] Step S1: Determine the condition parameters for the finite element simulation of the forging deformation of hard-α defects in titanium alloy;

[0010] Step S2: Respectively establish geometric models of the titanium alloy forging and the hard-α defect region of the titanium alloy. The hard-α defect region of the titanium alloy is located inside the titanium alloy forging, and a hard-α defect of the titanium alloy is provided at the central position of the hard-α defect region of the titanium alloy;

[0011] Step S3: Based on the condition parameters and the geometric models of the titanium alloy forging and the hard-α defect region of the titanium alloy, perform finite element simulation to obtain the equivalent stress field of the titanium alloy forging during the forging process;

[0012] Step S4: Determine the stress information of the hard-α defect region of the titanium alloy from the equivalent stress field during the forging process;

[0013] Step S5: Based on the stress information and the geometric model of the hard-α defect region of the titanium alloy, perform finite element simulation to obtain the deformation amount of the hard-α defect of the titanium alloy during the forging process.

[0014] Preferably, the condition parameters specifically include:

[0015] Those including the forging temperature, forging rate, forging deformation amount, geometric shape of the forging die, and geometric shape parameters and material parameters of the titanium alloy forging and the hard-α defect region of the titanium alloy during the forging processing.

[0016] Preferably, the specific steps of Step S2 include:

[0017] Step S2-1: Based on the geometric shape parameters of the titanium alloy forging in the condition parameters, establish a geometric model of the titanium alloy forging, and assign the material parameters to the geometric model of the titanium alloy forging;

[0018] Step S2-2: Establish a cubic model including the titanium alloy hard-α defect and the surrounding titanium alloy matrix material based on the geometric shape parameters of the titanium alloy hard-α defect region in the condition parameters. The titanium alloy hard-α defect is located at the center of the cubic model, and the cubic model is determined as the geometric model of the titanium alloy hard-α defect region;

[0019] Assign the material parameters of the titanium alloy forging to the titanium alloy matrix material part in the titanium alloy hard-α defect region, and assign the material parameters of the titanium alloy hard-α defect to the hard-α defect part in the titanium alloy hard-α defect region.

[0020] Preferably, the step S3 specifically includes:

[0021] Step S3-1: Apply displacement boundary conditions to the forging surface of the titanium alloy forging model. The application of displacement boundary conditions includes: applying displacement velocity and displacement amount to the forging surface; determining the displacement velocity from the forging rate in the condition parameters, and determining the displacement amount from the forging deformation amount in the condition parameters;

[0022] Step S3-2: Apply the first type of temperature boundary conditions to the surface of the titanium alloy forging model. The application of the first type of temperature boundary conditions includes: directly specifying the initial temperature value of the forging surface; determining the initial temperature value as the forging temperature in the condition parameters;

[0023] Step S3-3: Obtain the equivalent stress field of the titanium alloy forging during the forging process. The equivalent stress field records the equivalent stress magnitudes at different positions of the titanium alloy forging during the forging process and the variation of the equivalent stress magnitude with time.

[0024] Preferably, the step S4 specifically includes:

[0025] Step S4-1: Determine the position coordinates of the titanium alloy hard-α defect region based on the geometric models of the titanium alloy forging and the titanium alloy hard-α defect region;

[0026] Step S4-2: Use the point tracking function of the finite element software DEFORM to obtain the variation of the equivalent stress magnitude with time at the position coordinates as the stress information of the titanium alloy hard-α defect region.

[0027] Preferably, the step S5 specifically includes:

[0028] Step S5-1: Based on the stress information, apply stress boundary conditions to the upper surface of the titanium alloy hard-α defect region. The stress boundary conditions represent the equivalent stress magnitudes received by the titanium alloy hard-α defect region at different times;

[0029] Step S5-2: Determine the deformation amount of the hard-α defect in the titanium alloy during the forging process according to the maximum and minimum values of the node coordinates of the grid cells in the hard-α defect region of the titanium alloy and the initial geometric size of the hard-α defect in the titanium alloy.

[0030] Preferably, in step S5-2, the calculation formula for the deformation amount of the hard-α defect in the titanium alloy during the forging process is:

[0031]

[0032] where y is the deformation amount of the hard-α defect in the titanium alloy during the forging process, X max is the maximum value of the abscissa of the hard-α defect grid nodes, X min is the minimum value of the abscissa of the hard-α defect grid nodes, and L is the initial geometric size of the hard-α defect.

[0033] Compared with the prior art, the present invention has at least the following beneficial effects:

[0034] (1) The present invention adopts a cross-scale simulation method. By establishing a micro-cube model including the hard-α defect and the surrounding matrix material, accurate simulation from the macroscopic forging to the microscopic defect is achieved. The model scale of the defect region is reduced to 10 -2 of the macroscopic model, and the overall number of grid cells can be reduced by about 90%. This not only ensures the calculation accuracy but also greatly reduces the calculation cost.

[0035] (2) The present invention can quickly and conveniently study the influence of various process parameters and geometric parameters on the forging deformation amount of the hard-α defect in the titanium alloy. By changing process parameters such as forging temperature and forging deformation amount, as well as geometric parameters such as the shape of the titanium alloy forging, the influence law of these factors on the defect deformation can be systematically analyzed, providing theoretical guidance for process optimization. The separated design of the macroscopic forging model and the microscopic defect model enables users to quickly complete model reconstruction only by adjusting the size or position of the defect region, significantly improving the applicability of the method to different engineering scenarios.

[0036] (3) The method provided by the present invention enables accurate prediction of the deformation amount of the hard-α defect at the titanium alloy component design stage, thereby enabling early assessment of the failure risk of the component. Controlling the quality from the source can effectively improve the reliability and safety of the titanium alloy component, avoiding potential quality problems and safety hazards in the traditional method, and is of great significance for improving the overall performance of the titanium alloy component. Description of the Drawings

[0037] The drawings are only for the purpose of showing specific embodiments and are not considered to be a limitation of the present invention.

[0038] Figure 1Flowchart of the method for obtaining the forging deformation amount of hard-α defects in titanium alloy provided by the present invention.

[0039] Figure 2 Schematic diagram of the geometric model of the titanium alloy forging and the upper and lower forging dies provided by the present invention.

[0040] Figure 3 Schematic diagram of the simulation model of the hard-α defect region composed of hard-α defects and the surrounding titanium alloy matrix provided by the present invention.

[0041] Figure 4 Schematic diagram of the equivalent stress field inside the titanium alloy forging during the forging process provided by the present invention.

[0042] Figure 5 Variation curve of the equivalent stress at the position of the hard-α defect with the forging time provided by the present invention.

[0043] Figure 6 Schematic diagram of the forging deformation simulation result of the hard-α defect region of the titanium alloy provided by the present invention. Detailed implementation manners

[0044] In order to more clearly understand the above objects, features and advantages of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific implementation manners. It should be noted that, without conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other. In addition, the present invention can also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited by the specific embodiments disclosed below.

[0045] The present invention provides a method for obtaining the forging deformation amount of hard-α defects in titanium alloy. Through cross-scale finite element simulation, based on the simulation results of the titanium alloy forging model with a scale of 10 2 mm, the hard-α defect region is locally refined to a scale of 1 mm for simulation calculation, and the deformation behavior of hard-α defects in titanium alloy during the forging process is simulated more precisely. The method provided by the present invention has the advantages of high efficiency, precision, low cost, etc., and is applicable to different shapes of hard-α defects in titanium alloy and different forging process.

[0046] The present invention provides a method for obtaining the forging deformation amount of hard-α defects in titanium alloy, as Figure 1 shown, including the following steps:

[0047] Step S1, determining the condition parameters of the finite element simulation of the forging deformation of hard-α defects in titanium alloy;

[0048] Specifically, the condition parameters include the forging temperature, forging rate, forging deformation amount during the forging process, and the geometric shape of the forging die. The condition parameters also include the geometric shape parameters and material parameters of the titanium alloy forging and the titanium alloy hard-α defect.

[0049] In some embodiments, to ensure the accuracy of the forging simulation results, the forging process parameters should not deviate from the parameter range that may be selected in the actual forging process of the titanium alloy. Among them, the value range of the forging temperature is 910°C - 970°C, the value range of the forging rate is 0.1 mm / s - 50 mm / s, and the value range of the forging deformation amount is 20% - 80%.

[0050] It should be noted that the forging process parameters of the present invention, as well as the geometric shape of the forging die, and the geometric shape parameters of the titanium alloy forging and the titanium alloy hard-α defect area, can be selected and designed according to actual needs. The present invention does not limit these condition parameters.

[0051] Step S2: Establish geometric models of the titanium alloy forging and the titanium alloy hard-α defect area respectively. The titanium alloy hard-α defect area is located within the titanium alloy forging, and a titanium alloy hard-α defect is provided at the center position of the titanium alloy hard-α defect area.

[0052] In this step, based on the geometric shape parameters of the titanium alloy forging in the condition parameters, establish a geometric model of the titanium alloy forging, and assign the material parameters to the geometric model of the titanium alloy forging.

[0053] Based on the geometric shape parameters of the titanium alloy hard-α defect in the condition parameters, establish a small cube model including the titanium alloy hard-α defect and the surrounding titanium alloy matrix material. The hard-α defect is located at the center position of the cube model, serving as the geometric model of the titanium alloy hard-α defect area. Assign the material parameters of the titanium alloy forging to the titanium alloy matrix material part in the titanium alloy hard-α defect area, and assign the material parameters of the titanium alloy hard-α defect to the hard-α defect part in the titanium alloy hard-α defect area.

[0054] Step S3: Perform finite element simulation based on the condition parameters and the geometric models of the titanium alloy forging and the titanium alloy hard-α defect area to obtain the equivalent stress field of the titanium alloy forging during the forging process;

[0055] In this step, in order to simulate the forging process, apply displacement boundary conditions to the forging surface of the titanium alloy forging model. The displacement boundary conditions represent the motion constraints applied to the forging surface in the forging simulation, including displacement velocity and displacement amount. Specifically, determine the displacement velocity from the forging rate in the condition parameters, and determine the displacement amount from the forging deformation amount in the condition parameters.

[0056] Apply the first type of temperature boundary condition to the surface of the titanium alloy forging model, where the first type of temperature boundary condition means directly specifying the initial temperature value of the forging surface. Specifically, determine the forging temperature in the condition parameters as the initial temperature of the forging.

[0057] Through finite element simulation, obtain the equivalent stress field of the titanium alloy forging during the forging process. The equivalent stress field during the forging process records the equivalent stress magnitudes at different positions of the titanium alloy forging during the forging process, and records the change of the equivalent stress magnitude over time.

[0058] Step S4: Determine the stress information of the hard-α defect region of the titanium alloy from the equivalent stress field during the forging process;

[0059] Determine the change of the equivalent stress magnitude over time at the position where the hard-α defect region of the titanium alloy is located from the equivalent stress field during the forging process as the stress information.

[0060] Step S5: Based on the stress information and the geometric model of the hard-α defect region of the titanium alloy, conduct finite element simulation to obtain the deformation amount of the hard-α defect of the titanium alloy during the forging process.

[0061] In this step, based on the stress information, apply the stress boundary condition to the upper surface of the hard-α defect region of the titanium alloy. The stress boundary condition represents the equivalent stress magnitude that the hard-α defect region of the titanium alloy receives at different times.

[0062] The hard-α defect region of the titanium alloy is discretized into multiple grid cells in the simulation. Each grid cell has nodes, and its deformation behavior is reflected by the change of the coordinates of each grid node. By recording the coordinate data of the grid nodes in the hard-α defect region during the forging process, the extreme value of the abscissa dimension among the grid nodes of the hard-α defect after forging can be obtained, and the deformation amount of the hard-α defect is calculated. The calculation expression is:

[0063]

[0064] where y is the deformation amount of the hard-α defect of the titanium alloy during the forging process, X max is the maximum value of the abscissa of the grid nodes of the hard-α defect, X min is the minimum value of the abscissa of the grid nodes of the hard-α defect, and L is the initial geometric size of the hard-α defect. To conservatively calculate the failure risk, the size of the hard-α defect after forging deformation is defined by the coordinate extreme values, and finally the forging deformation amount of the hard-α defect is obtained.

[0065] In order to illustrate the effectiveness of the method proposed in the present invention, the above technical solution of the present invention is described in detail below through a specific embodiment. The following implementation is to simulate a Ti6Al4V alloy forging containing hard-α defects using a two-dimensional model to calculate the deformation of the hard-α defects during the forging process. The simulation is implemented by the finite element software DEFORM.

[0066] Embodiment 1

[0067] S100, the forging temperature during the forging process is 930°C, the forging rate is 10 mm / s, the forging deformation is 40%, and the forging die is a flat plate.

[0068] The three-dimensional geometric shape of the Ti6Al4V alloy forging is a cylinder with a diameter of 100 mm and a height of 160 mm. The constitutive model of the Ti6Al4V alloy at 950 ° C is:

[0069]

[0070] in, is the strain rate, σ is the true stress, T is the deformation temperature, and R is the gas constant.

[0071] The remaining material parameters including density, thermal conductivity, heat capacity, Young's modulus, Poisson's ratio, etc. adopt the parameters of Ti6Al4V in the material library provided in the DEFORM software, as shown in Table 1.

[0072] Table 1

[0073]

[0074] The three-dimensional geometry of the hard-α defect is a sphere with a diameter of 0.2 mm, composed of TiN material with a nitrogen content of 4%, located at the geometric center of the Ti6Al4V alloy forging. The constitutive model of the hard-α defect at 950°C is:

[0075]

[0076] The remaining material parameters including density, Young's modulus, Poisson's ratio, etc. adopt the parameters of TiN in the material library provided in the DEFORM software, as shown in Table 2.

[0077] Table 2

[0078]

[0079] S200, establish the model of Ti6Al4V alloy forging, such as Figure 2 As shown; a simulation model of the hard-α defect area of ​​titanium alloy is established, as shown Figure 3As shown. In this embodiment, two-dimensional parametric modeling is adopted. The three-dimensional geometry of the Ti6Al4V alloy forging is a cylinder with a diameter of 100 mm and a height of 160 mm, and it is modeled as a 1 / 2 rectangle with a length of 100 mm, a height of 160 mm, and symmetric about the center axis in the length direction; the three-dimensional geometry of the titanium alloy hard-α defect region is a cube with a side length of 1 mm, and it is modeled as a square with a side length of 1 mm; the three-dimensional geometry of the hard-α defect is a sphere with a diameter of 0.2 mm, and it is modeled as a circle with a diameter of 0.2 mm, located at the geometric center of the defect region model.

[0080] S300. In this embodiment, the boundary conditions of the Ti6Al4V alloy forging model are the displacement boundary conditions on the upper surface, the displacement speed is 10 mm / s, and the displacement amount is 64 mm; and the first-kind temperature boundary conditions on the surface, and the initial temperature of the Ti6Al4V alloy forging is 930 °C. Set the two-dimensional model and boundary conditions of the Ti6Al4V alloy forging in the forging module of the finite element software DEFORM, and obtain the equivalent stress field inside the forging during the forging process through simulation calculation, as Figure 4 shown.

[0081] S400. In this embodiment, the coordinates of the hard-α defect position in the Ti6Al4V alloy forging model are (0, 50). Use the Point Tracking function of the finite element software DEFORM, input the selected nodes corresponding to the coordinates at the defect position in the Ti6Al4V alloy forging model, and record the change of the equivalent stress at the nodes over time during the forging process as stress information, as Figure 5 shown.

[0082] S500. In this embodiment, the boundary conditions of the simulation model of the titanium alloy hard-α defect region are the stress boundary conditions on the upper surface, and import the stress information recorded in S400 as the stress boundary on the upper surface of the model. Set the simulation model and boundary conditions of the titanium alloy hard-α defect region in the finite element software DEFORM, and obtain the deformation of the simulation model of the titanium alloy hard-α defect region during the forging process through simulation calculation, as Figure 6 shown. The maximum value of the abscissa dimension among the grid nodes of the hard-α defect is 0.44, and the minimum value is 0.2. It can be calculated:

[0083]

[0084] Therefore, in this embodiment, a two-dimensional model is used to simulate a Ti6Al4V alloy forging containing a hard-α defect, and the deformation amount of the hard-α defect during the forging process is calculated. The result shows that the size of the hard-α defect increases by 20%.

[0085] Although the specific embodiments of the present invention depict various actions or steps in a particular order, it should be understood that such actions or steps are required to be performed in the particular order shown or in a sequential order, or that all of the illustrated actions or steps should be performed to achieve the desired result. In certain circumstances, multitasking and parallel processing may be advantageous. Similarly, although several specific implementation details are included in the above discussion, these should not be construed as limiting the scope of the present disclosure. Certain features described in the context of separate embodiments may also be implemented in combination in a single implementation. Conversely, the various features described in the context of a single implementation may also be implemented separately or in any suitable sub-combination in multiple implementations.

[0086] The above are only some representatives of the embodiments in the present invention and should not limit the scope of the rights of the present invention. For researchers in the field, the forging process of titanium alloy forgings can be selected arbitrarily, and the materials and shapes of titanium alloy forgings and hard-α defects are not limited to this example. Therefore, making various corresponding changes and deformations according to the technical solutions and ideas of the present invention still fall within the protection scope covered by the present invention.

Claims

1. A method for obtaining the forging deformation amount of hard-α defects in a titanium alloy, characterized in that, It includes the following steps: Step S1: Determine the condition parameters for the finite element simulation of the forging deformation of the hard-α defects in titanium alloy; Step S2: Respectively establish the geometric models of the titanium alloy forging and the hard-α defect region of the titanium alloy. The hard-α defect region of the titanium alloy is located within the titanium alloy forging, and a hard-α defect of the titanium alloy is provided at the central position of the hard-α defect region of the titanium alloy; Step S3: Based on the condition parameters and the geometric models of the titanium alloy forging and the hard-α defect region of the titanium alloy, conduct a finite element simulation to obtain the equivalent stress field of the titanium alloy forging during the forging process; Step S4: Determine the stress information of the hard-α defect region of the titanium alloy from the equivalent stress field during the forging process; Step S5: Based on the stress information and the geometric model of the hard-α defect region of the titanium alloy, conduct a finite element simulation to obtain the deformation amount of the hard-α defect of the titanium alloy during the forging process.

2. The method for obtaining the forging deformation amount of the hard-α defect of the titanium alloy according to claim 1, characterized in that, In step S1, the condition parameters specifically include: The forging temperature, forging rate, forging deformation amount, geometric shape of the forging die, and geometric shape parameters and material parameters of the titanium alloy forging and the hard-α defect region during the forging process.

3. The method for obtaining the forging deformation amount of the hard-α defect of the titanium alloy according to claim 2, wherein, The specific content of step S2 includes: Step S2-1: Based on the geometric shape parameters of the titanium alloy forging in the condition parameters, establish the geometric model of the titanium alloy forging, and assign the material parameters to the geometric model of the titanium alloy forging; Step S2-2: Based on the geometric shape parameters of the hard-α defect region of the titanium alloy in the condition parameters, establish a cube model including the hard-α defect of the titanium alloy and the surrounding titanium alloy matrix material. The hard-α defect of the titanium alloy is located at the central position of the cube model, and determine the cube model as the geometric model of the hard-α defect region of the titanium alloy; Assign the material parameters of the titanium alloy forging to the titanium alloy matrix material part in the hard-α defect region of the titanium alloy, and assign the material parameters of the hard-α defect of the titanium alloy to the hard-α defect part in the hard-α defect region of the titanium alloy.

4. The method for obtaining the forging deformation amount of the hard-α defect of the titanium alloy according to claim 3, wherein, The specific content of step S3 includes: Step S3-1: Apply displacement boundary conditions to the forging surface of the titanium alloy forging model. The application of displacement boundary conditions includes: applying displacement velocity and displacement amount to the forging surface; determining the displacement velocity from the forging rate in the condition parameters, and determining the displacement amount from the forging deformation amount in the condition parameters; Step S3-2: Apply the first type of temperature boundary conditions to the surface of the titanium alloy forging model. The application of the first type of temperature boundary conditions includes: directly specifying the initial temperature value of the forging surface; determining the forging temperature in the condition parameters as the initial temperature value; Step S3-3: Obtain the equivalent stress field of the titanium alloy forging during the forging process. The equivalent stress field records the equivalent stress magnitudes at different positions of the titanium alloy forging during the forging process and the variation of the equivalent stress magnitude with time.

5. The method for obtaining the forging deformation amount of hard-α defects in titanium alloy according to claim 4, characterized in that, The specific content of step S4 includes: Step S4-1: Based on the geometric models of the titanium alloy forging and the hard-α defect region of the titanium alloy, determine the position coordinates of the hard-α defect region of the titanium alloy; Step S4-2: Use the point tracking function of the finite element software DEFORM to obtain the variation of the equivalent stress magnitude at the position coordinates with time, which is used as the stress information of the hard-α defect region of the titanium alloy.

6. The method for obtaining the forging deformation amount of the hard-α defect of the titanium alloy according to claim 5, wherein, The specific steps of Step S5 include: Step S5-1: Based on the stress information, apply stress boundary conditions to the upper surface of the hard-α defect region of the titanium alloy, where the stress boundary conditions represent the equivalent stress magnitudes that the hard-α defect region of the titanium alloy experiences at different times; Step S5-2: Determine the deformation amount of the hard-α defect of the titanium alloy during the forging process according to the maximum and minimum values of the node coordinates of the mesh elements in the hard-α defect region of the titanium alloy and the initial geometric dimensions of the hard-α defect of the titanium alloy.

7. The method for obtaining the forging deformation amount of the hard-α defect of the titanium alloy according to claim 6, wherein In Step S5-2, the calculation formula for the deformation amount of the hard-α defect of the titanium alloy during the forging process is: Among them, y is the deformation amount of the hard-α defect of the titanium alloy during forging, X max is the maximum value of the abscissa of the grid nodes of the hard-α defect, X min is the minimum value of the abscissa of the grid nodes of the hard-α defect, and L is the initial geometric size of the hard-α defect.

Images