CN112926234B - High-temperature tensile test and high-temperature rheological damage model construction method for metal material - Google Patents
High-temperature tensile test and high-temperature rheological damage model construction method for metal material Download PDFInfo
- Publication number
- CN112926234B CN112926234B CN202110103032.4A CN202110103032A CN112926234B CN 112926234 B CN112926234 B CN 112926234B CN 202110103032 A CN202110103032 A CN 202110103032A CN 112926234 B CN112926234 B CN 112926234B
- Authority
- CN
- China
- Prior art keywords
- temperature
- damage
- metal material
- tensile
- rheological
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/23—Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N3/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N3/08—Investigating strength properties of solid materials by application of mechanical stress by applying steady tensile or compressive forces
- G01N3/18—Performing tests at high or low temperatures
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
- G16C10/00—Computational theoretical chemistry, i.e. ICT specially adapted for theoretical aspects of quantum chemistry, molecular mechanics, molecular dynamics or the like
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
- G16C60/00—Computational materials science, i.e. ICT specially adapted for investigating the physical or chemical properties of materials or phenomena associated with their design, synthesis, processing, characterisation or utilisation
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2203/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N2203/0058—Kind of property studied
- G01N2203/006—Crack, flaws, fracture or rupture
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2203/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N2203/0058—Kind of property studied
- G01N2203/0069—Fatigue, creep, strain-stress relations or elastic constants
- G01N2203/0075—Strain-stress relations or elastic constants
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2203/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N2203/02—Details not specific for a particular testing method
- G01N2203/06—Indicating or recording means; Sensing means
- G01N2203/067—Parameter measured for estimating the property
- G01N2203/0682—Spatial dimension, e.g. length, area, angle
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/08—Thermal analysis or thermal optimisation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/14—Force analysis or force optimisation, e.g. static or dynamic forces
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Computing Systems (AREA)
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- General Engineering & Computer Science (AREA)
- Investigating Strength Of Materials By Application Of Mechanical Stress (AREA)
Abstract
The invention discloses a high-temperature tensile test and a high-temperature rheological damage model construction method of a metal material, which are characterized in that a finite element simulation is combined with a Gleeble high-temperature tensile test of the metal material, the load-displacement change characteristics of the metal material in the high-temperature tensile process, the deformation profile characteristics and microscopic defect distribution characteristics of the metal material after high-temperature tensile are analyzed, the critical damage value of the metal material when damage and cracking occur in the high-temperature tensile process is determined, the nonlinear relation between the critical damage value of the metal material and the deformation temperature and strain rate is established, and then the high-temperature rheological damage model of the metal material, which is coupled with the deformation temperature, the strain rate, the strain and the stress, is constructed. The model is suitable for the optimization design of hot forging, hot rolling, hot extrusion, hot drawing and other hot processing technologies and dies related to iron-based, aluminum-based, copper-based, titanium-based, magnesium-based and other metal materials, can accurately predict damage and cracking of the metal materials in the hot processing process, has good stability, and can be applied to the high-temperature plastic processing technologies and the computer-aided design of the dies of the iron-based, aluminum-based, copper-based, titanium-based, magnesium-based and other metal materials.
Description
Technical Field
The invention belongs to the field of high-temperature plastic processing engineering of metal materials, and particularly relates to a method for constructing a high-temperature rheological damage model of a metal material, which is suitable for hot forging, hot rolling, hot extrusion, hot drawing and other hot processing processes of metal materials such as iron base, aluminum base, copper base, titanium base, magnesium base and the like and optimal design of a die.
Background
The high-temperature rheological damage model of the metal material is a mathematical model for representing the dependence relationship between damage accumulation and stress, strain rate and temperature in the hot working process of the metal material, reflects the machinability of the metal material, and is a necessary basis for developing the hot working process (including forging, rolling, extrusion, drawing and the like) of the metal material and the computer-aided design of a die. However, high temperature rheological damage during hot working of metallic materials is closely related to the stress-temperature-velocity-deformation state in which it is located, and is difficult to directly measure during actual hot working. The high-temperature rheological damage behavior of the metal material can be studied through a high-temperature stretching or high-temperature compression test, and the high-temperature rheological damage fracture resistance of the metal material can be evaluated. The high-temperature tensile test can more accurately reflect the direct effect of tensile stress on high-temperature rheological damage of the metal material, and is widely adopted. For example, the high temperature tensile rheological damage fracture behavior of a metal material at different temperatures and strain rates is measured by a material universal tester, a high temperature rheological damage model is constructed, and the resistance to high temperature rheological damage fracture is evaluated [ Beatrice Valoppi, stefania Brush, andrea Ghiotti, rajiv Shivpuri. Johnson-Cook based criterion incorporating stress triaxiality and deviatoric effect for predicting elevated temperature ductility of titanium alloy sheets. International Journal of Mechanical sciences.2017,123:94-105.Y. C. Lin, yan-Xing Liu, ge Liu, ming-Song Chen, yuan-Chun Huang. Predictive of ductile fracture behaviors for 42CrMo steel at elevated temperatures.Journal of Materials Engineering&Performance.2015,24:221-118 ]. However, the high-temperature tensile rheological damage fracture data of the metal material is limited by small tensile loading rate (strain rate is generally less than 1/second) of the material universal tester, and the measured high-temperature tensile rheological damage fracture data of the metal material has a large difference from actual hot working conditions (strain rate can reach tens of seconds), so that the high-temperature rheological damage model of the metal material constructed by the method has obvious limitation in practical production. In order to obtain high-temperature tensile rheological damage fracture data of the metal material corresponding to actual hot working conditions, a material hot-force simulation testing machine Gleeble can be adopted to carry out high-temperature tensile testing of the metal material. The Gleeble tester can provide higher tensile loading rate (the strain rate can reach tens of seconds), can accurately measure high-temperature tensile load-displacement data of the metal material, but can not accurately measure the tensile strain of the metal material in the high-temperature tensile process without assistance of an extensometer. And because the Gleeble tester adopts a resistance heating mode to heat the high-temperature tensile sample, the Joule heating effect can cause the tensile sample to have obvious temperature gradient along the axis or the tensile direction, so that the center temperature of the tensile sample is high, the temperatures of the two ends are low, and serious uneven deformation is finally caused in the tensile process [ J.L.He, Y.H.Xiao, J.Liu, Z.S.Cui, L.Q.Ruan.Model for predicting ductile fracture of SA-508-3 steel undergoing hot forming.Materials Science and Technology.2014,30 (10): 1239-1247 ]. Therefore, when a Gleeble tester is used for measuring the high-temperature tensile rheological damage fracture of the metal material, other auxiliary methods, such as finite element simulation auxiliary tests, are needed to accurately measure the high-temperature tensile rheological damage fracture behavior of the metal material, a high-precision high-temperature rheological damage model is constructed, and the high-temperature rheological damage fracture resistance of the metal material is accurately evaluated. However, no accurate Gleeble high-temperature tensile test method assisted by finite element simulation exists at present, the high-temperature tensile rheological damage fracture behavior of a metal material is accurately measured, a high-precision high-temperature rheological damage model is built, and the high-temperature rheological damage fracture resistance of the metal material under the condition of a hot processing technology is accurately evaluated. Therefore, it is necessary to design reasonable high-temperature stretching and compression simulation experiments of the metal material, and to combine with a finite element simulation auxiliary test method, the system examines the high-temperature stretching rheological damage fracture behaviors of the metal material at different temperatures and strain rates, calculates the critical damage value of the metal material when damage fracture occurs, determines the quantitative relation between the critical damage value of the metal material and the temperature and strain rate, further constructs a high-precision high-temperature stretching rheological damage model of the metal material, accurately characterizes the high-temperature rheological damage behaviors of the metal material, accurately predicts the damage fracture tendency of the metal material in the high-temperature plastic processing process, and provides basis for the high-temperature plastic processing technology and the die optimization design of the metal material.
Disclosure of Invention
In view of the above, the invention provides a method for constructing a high-temperature rheological damage model and a high-temperature rheological damage model of a metal material by accurately measuring the high-temperature rheological damage breaking behavior of the metal material and accurately evaluating the high-temperature rheological damage breaking resistance under the condition of a hot working process aiming at the problem that no accurate finite element simulation assisted Gleeble high-temperature tensile test method exists at present.
In order to solve the technical problems, the invention discloses a high-temperature tensile test and high-temperature rheological damage model construction method for a metal material, which comprises the following steps:
step 1: measuring high-temperature tensile load-displacement data of the metal material tensile sample at different heating temperatures and strain rates by using a Gleeble thermal simulation machine; meanwhile, temperature distribution data of different positions of each tensile sample along the tensile direction during high-temperature stretching are measured;
step 2: establishing a finite element model with the same geometric shape size and temperature distribution as those of the tensile sample in a finite element simulation program by adopting the temperature distribution data of the tensile sample measured in the step 1;
Step 3: measuring high-temperature rheological stress and strain data of a metal material by using a Gleeble thermal simulation machine, then implanting a finite element simulation program and correcting, combining with the finite element model established in the step 2, and simulating and reproducing the high-temperature stretching process of the stretching sample in the step 1;
step 4: comprehensively analyzing the high-temperature tensile load-displacement change characteristics of the tensile sample, the deformation profile characteristics of the tensile sample after fracture and the microscopic defect distribution characteristics of the deformation area of the tensile sample, and determining the critical necking amount of the tensile sample after damage and fracture;
step 5: reading stress and strain data of each unit node of the tensile sample simulated in the step 3 in each stretching step, calculating and determining a critical damage value C when the tensile sample reaches the critical necking amount determined in the step 4 under the corresponding temperature and strain rate by adopting a damage model f The damage model expression used is:
t, ζ and ε are temperature, strain rate and strain, respectively; c (C) f (T, xi) is the critical damage value of the metal material when stretching and cracking under different temperatures and strain rates; f (sigma) ij ) As a function of stress;
step 6: establishing the critical damage value C determined in step 5 f And (3) carrying out normalization treatment on the damage model adopted in the step (5) by adopting the model, establishing a normalized high-temperature rheological damage model of the metal material, representing the high-temperature rheological damage behavior of the metal material, predicting the high-temperature rheological cracking tendency of the metal material, wherein the normalized high-temperature rheological damage model expression is as follows:
( The Damage accumulation value Damage is more than or equal to 1, and cracking occurs; damage is less than 1, and does not crack )
Step 7: and (3) verifying and carrying out necessary correction on the high-temperature rheological damage model of the metal material established in the step (6) to ensure the accuracy of the model.
Further, the step 1 specifically includes:
step 1.1: analyzing the actual hot working process of the metal material, and determining the hot working process conditions such as the temperature and the speed range of the metal material in the hot working deformation process;
step 1.2: according to the high-temperature tensile test standard of the metal material and in combination with the clamping requirement of a Gleeble thermal simulation machine, processing a high-temperature tensile sample with a specified shape and size;
step 1.3: carrying out high-temperature tensile tests of the high-temperature tensile samples processed in the step 1.2 under the combination conditions of different temperatures and strain rates on a Gleeble thermal simulator within the range of the thermal processing temperature and the rate of the metal material determined in the step 1.1, and measuring high-temperature tensile load-displacement data of each tensile sample under the corresponding temperature and strain rate; meanwhile, a temperature detector is adopted to measure temperature distribution data of different positions of each tensile sample along the tensile direction during high-temperature stretching.
Further, the step 2 specifically includes:
step 2.1: establishing a finite element model with the same geometric shape and size as the high-temperature tensile sample in the step 1 in a finite element simulation program;
step 2.2: and (3) applying the temperature distribution data of the high-temperature tensile sample measured in the step (1) to each grid cell node of the finite element model established in the step (2.1), and establishing the finite element model with the same geometric shape size and temperature distribution as those of the high-temperature tensile sample in the step (1).
Further, the step 3 specifically includes:
step 3.1: determining compression temperature and strain rate ranges of high-temperature rheological stress-strain data of the metal material through a Gleeble thermal simulation compression test according to the temperature distribution data and the strain rate ranges of the tensile sample in the tensile direction in the step 1;
step 3.2: according to a high-temperature compression test standard of a metal material and in combination with the clamping requirement of a Gleeble thermal simulation machine, processing a high-temperature compression sample with a specified shape and size;
step 3.3: carrying out high-temperature compression tests of the high-temperature compression samples processed in the step 3.2 under different temperature and strain rate conditions on a Gleeble thermal simulator in the compression temperature and strain rate range determined in the step 3.1, and measuring high-temperature compression rheological stress-strain data of each compression sample under the corresponding temperature and strain rate conditions to serve as preliminary high-temperature rheological stress-strain data of the metal material;
Step 3.4: implanting a finite element simulation program into the high-temperature rheological stress-strain data of the metal material obtained in the step 3.3 in the form of a data set or a high-temperature rheological constitutive model constructed by the stress-strain data, and combining the finite element simulation program with the finite element model established in the step 2 to establish a finite element model which has the same geometric shape, size and temperature distribution as the high-temperature tensile sample in the step 1 and contains the rheological stress-strain data of the metal material;
step 3.5: applying the same stretching rate and boundary conditions as those of the high-temperature stretching test in the step 1 to the finite element model of the high-temperature stretching test established in the step 3.4, and simulating the high-temperature stretching test process of each stretching test sample in the step 1 to obtain simulated stretching load-displacement data under different high-temperature stretching test conditions;
step 3.6: comparing the simulated tensile load-displacement data obtained in the step 3.5 under different temperature and strain rate conditions and the deformation profile of the tensile sample with the high-temperature tensile test result in the step 1, repeatedly regulating and controlling the high-temperature rheological stress-strain data or the corresponding high-temperature rheological constitutive model of the metal material implanted with the finite element program in the step 3.4 until the simulated tensile load-displacement data in the step 3.5 and the deformation profile of the tensile sample are the same as the high-temperature tensile test result in the step 1, and reproducing the high-temperature tensile test process of each tensile sample in the step 1.
Further, the step 4 specifically includes:
step 4.1: analyzing the tensile load-displacement data of each tensile sample in the high-temperature stretching process, and preliminarily taking the necking quantity of the tensile sample, which is unstable deformation or is rapidly reduced along with the stretching displacement when the tensile sample is obviously necked in the stretching process, as a critical necking quantity according to the change characteristics of the tensile load-displacement;
step 4.2: observing and analyzing the deformation profile of each tensile sample after high-temperature stretching, and taking the necking quantity of the tensile sample subjected to obvious nonuniform necking deformation as a critical necking quantity according to the deformation profile characteristics;
step 4.3: microscopic observation and analysis are carried out on a deformation area, close to a fracture, of each tensile sample after high-temperature stretching, and the necking amount of microscopic damage and cracking of the tensile sample is initially taken as critical necking amount according to microscopic defect distribution characteristics such as micropores, microcracks and the like of the deformation area;
step 4.4: comprehensively analyzing the observation and analysis results of the step 4.1, the step 4.2 and the step 4.3, and finally determining the critical necking amount of the damage cracking of each high-temperature tensile sample when the high-temperature tensile sample is stretched at different temperatures and strain rates corresponding to the preliminarily determined critical necking amount of the damage cracking of each high-temperature tensile sample.
Further, the step 5 specifically includes:
step 5.1: and (3) reading stress and strain data of each unit node of each tensile sample simulated in the step (3) in each tensile step through a finite element program, calculating an accumulated damage value of the tensile sample in a high-temperature tensile process by adopting a damage model, wherein the adopted damage model expression is as follows:
t, ζ and ε are temperature, strain rate and strain, respectively; c (C) f (T, xi) is the critical damage value of the metal material when stretching and cracking under different temperatures and strain rates; f (sigma) ij ) As a function of stress;
step 5.2: comparing the calculated result in the step 5.1 with the critical necking quantity of each tensile sample which is determined in the step 4 and is damaged and cracked in the high-temperature stretching process, and determining the corresponding accumulated damage value when each tensile sample reaches the critical necking quantity in the high-temperature stretching process, wherein the accumulated damage value is used as a critical damage value C of the tensile sample which is damaged and cracked in the high-temperature stretching process f 。
Further, the step 6 specifically includes:
step 6.1: establishing a nonlinear relation model of the critical damage value and the temperature and the strain rate of the tensile sample determined in the step 5 under different temperature and strain rate conditions through numerical analysis and calculation;
Step 6.2: introducing the nonlinear relation model of the critical damage value and the temperature and the strain rate established in the step 6.1 into the damage model adopted in the step 5, carrying out normalization treatment on the damage model, establishing a normalized high-temperature rheological damage model of the metal material, characterizing the high-temperature rheological damage behavior of the metal material, predicting the high-temperature rheological cracking tendency of the metal material, wherein the normalized high-temperature rheological damage model expression is as follows:
( The Damage accumulation value Damage is more than or equal to 1, and cracking occurs; damage is less than 1, and does not crack )
Further, the step 7 specifically includes:
step 7.1: carrying out hot forging experiments on the metal material under different temperature and strain rate conditions, and measuring critical forging deformation of the metal material, which is damaged and cracked in the hot forging experiment process;
step 7.2: embedding the high-temperature rheological damage model established in the step 6 into a finite element program, setting finite element simulation conditions the same as those of the hot forging experiment in the step 7.1, calculating critical forging deformation of the metal material, which is damaged and cracked in the hot forging process, comparing the critical forging deformation with the measurement result in the step 7.1, verifying the prediction precision and stability of the high-temperature rheological damage model established in the step 6, and carrying out necessary correction to obtain the high-temperature rheological damage model with high precision and high stability.
Further, the high-temperature tensile test and high-temperature rheological damage model construction method of the metal material can be used for high-temperature tensile test and high-temperature rheological damage model construction of metal materials such as iron-based, aluminum-based, copper-based, titanium-based, magnesium-based and the like, and the constructed high-temperature rheological damage model can be applied to the optimization design of hot forging, hot rolling, hot extrusion, hot drawing and other hot processing technologies and dies of the metal materials.
Compared with the prior art, the invention can obtain the following technical effects:
1) According to the invention, a Gleeble thermal simulator is adopted to develop a high-temperature tensile test of the metal material corresponding to the actual thermal processing temperature and speed range, the load-displacement change characteristic, the tensile deformation profile characteristic and the deformation area microscopic defect distribution characteristic of the tensile sample in the high-temperature tensile process are comprehensively analyzed, the critical necking quantity of the tensile sample, which is subjected to high-temperature rheological damage cracking, is accurately determined, the critical damage value of the tensile sample when the tensile sample reaches the critical necking quantity under different temperatures and strain rates is accurately calculated by means of finite element simulation, a metal material high-temperature rheological damage model of coupling deformation temperature and strain rate thermal processing technological parameters is constructed, verification and necessary correction are carried out, and finally the high-precision metal material high-temperature rheological damage model is obtained. The damage model characterizes quantitative influence of temperature, speed, deformation and stress state on high-temperature rheological damage of the metal material in the hot working process, can intuitively and accurately describe the high-temperature rheological damage behavior of the metal material in the hot working process, and reveals a high-temperature rheological damage mechanism of the metal material; the damage model can accurately calculate the accumulated damage of the metal material in the hot working process, accurately predict the damage cracking tendency and the damage cracking resistance of the metal material in the hot working process, and the prediction accuracy meets the engineering application requirements.
2) The damage model can accurately calculate and predict accumulated damage and cracking tendency of the metal material under different hot working conditions such as forging, rolling, extrusion, drawing and the like, can be used for optimizing the hot working processes such as hot forging, hot rolling, hot extrusion, hot drawing and the like of the metal material and a die, improves the equipment model selection and process and die design efficiency, and has good engineering applicability.
Of course, it is not necessary for any of the products embodying the invention to achieve all of the technical effects described above at the same time.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention and do not constitute a limitation on the invention.
FIG. 1 is an example of temperature distribution when a high temperature tensile test is performed on a high temperature tensile test specimen of 410 stainless steel in an embodiment of the present invention.
FIG. 2 is an example of load-displacement curves and deformation profiles for high temperature stretching of a 410 stainless steel high temperature tensile specimen in an embodiment of the present invention in comparison with finite element simulation results.
FIG. 3 is a schematic diagram of determining 410 the critical necking amounts of high temperature tensile test specimens of stainless steel and 45 steel in an embodiment of the present invention.
FIG. 4 is a comparison of predicted damage cracking and measured results of a high temperature rheological damage model of 410 stainless steel in an example of the present invention.
FIG. 5 is a predictive stability analysis of a model of high temperature rheological damage to 410 stainless steel in an embodiment of the invention.
FIG. 6 is an example of temperature distribution when a high temperature tensile test is performed on a 45 steel high temperature tensile test specimen in the example of the present invention.
FIG. 7 is an example of load-displacement curves and deformation profiles of a 45 steel high temperature tensile specimen subjected to high temperature stretching in comparison with the results of finite element simulation in the examples of the present invention.
FIG. 8 is a comparison of predicted damage cracking and measured results of a 45 steel high temperature rheological damage model in an embodiment of the invention.
FIG. 9 is a predictive stability analysis of a 45 steel high temperature rheological damage model in an example of the invention.
Detailed Description
The following will describe embodiments of the present invention in detail by referring to examples, so that the implementation process of how the present invention applies technical means to solve technical problems and achieve technical effects can be fully understood and implemented.
The invention relates to a high-temperature tensile test and high-temperature rheological damage model construction method of a metal material, which specifically comprises the following steps:
step 1: measuring high-temperature tensile load-displacement data of the metal material tensile sample at different heating temperatures and strain rates by using a Gleeble thermal simulation machine; meanwhile, temperature distribution data of different positions of each sample along the stretching direction during high-temperature stretching are measured;
Step 1.1: analyzing the actual hot working process of the metal material, and determining the hot working process conditions such as the temperature and the speed range of the metal material in the hot working deformation process;
step 1.2: according to the high-temperature tensile test standard of the metal material and in combination with the clamping requirement of a Gleeble thermal simulation machine, processing a high-temperature tensile sample with a specified shape and size;
step 1.3: carrying out high-temperature tensile tests of the high-temperature tensile samples processed in the step 1.2 under the combination conditions of different temperatures and strain rates on a Gleeble thermal simulator within the range of the thermal processing temperature and the rate of the metal material determined in the step 1.1, and measuring high-temperature tensile load-displacement data of each tensile sample under the corresponding temperature and strain rate; meanwhile, a temperature detector is adopted to measure temperature distribution data of different positions of each tensile sample along the tensile direction during high-temperature stretching;
step 2: establishing a finite element model with the same geometric shape size and temperature distribution as those of the tensile sample in a finite element simulation program by adopting the temperature distribution data of the tensile sample measured in the step 1;
step 2.1: establishing a finite element model with the same geometric shape and size as the high-temperature tensile sample in the step 1 in a finite element simulation program;
Step 2.2: applying the temperature distribution data of the high-temperature tensile sample measured in the step 1 to each grid cell node of the finite element model established in the step 2.1, and establishing a finite element model with the same geometric shape size and temperature distribution as those of the high-temperature tensile sample in the step 1;
step 3: measuring high-temperature rheological stress and strain data of a metal material by using a Gleeble thermal simulation machine, then implanting a finite element simulation program and correcting, combining with the finite element model established in the step 2, and simulating and reproducing the high-temperature stretching process of the stretching sample in the step 1;
step 3.1: determining compression temperature and strain rate ranges of high-temperature rheological stress-strain data of the metal material through a Gleeble thermal simulation compression test according to the temperature distribution data and the strain rate ranges of the tensile sample in the tensile direction in the step 1;
step 3.2: according to a high-temperature compression test standard of a metal material and in combination with the clamping requirement of a Gleeble thermal simulation machine, processing a high-temperature compression sample with a specified shape and size;
step 3.3: carrying out high-temperature compression tests of the high-temperature compression samples processed in the step 3.2 under different temperature and strain rate conditions on a Gleeble thermal simulator in the compression temperature and strain rate range determined in the step 3.1, and measuring high-temperature compression rheological stress-strain data of each compression sample under the corresponding temperature and strain rate conditions to serve as preliminary high-temperature rheological stress-strain data of the metal material;
Step 3.4: implanting a finite element simulation program into the high-temperature rheological stress-strain data of the metal material obtained in the step 3.3 in the form of a data set or a high-temperature rheological constitutive model constructed by the stress-strain data, and combining the finite element simulation program with the finite element model established in the step 2 to establish a finite element model which has the same geometric shape, size and temperature distribution as the high-temperature tensile sample in the step 1 and contains the rheological stress-strain data of the metal material;
step 3.5: applying the same stretching rate and boundary conditions as those of the high-temperature stretching test in the step 1 to the finite element model of the high-temperature stretching test established in the step 3.4, and simulating the high-temperature stretching test process of each stretching test sample in the step 1 to obtain simulated stretching load-displacement data under different high-temperature stretching test conditions;
step 3.6: comparing the simulated tensile load-displacement data obtained in the step 3.5 under different temperature and strain rate conditions and the deformation profile of the tensile sample with the high-temperature tensile test result in the step 1, repeatedly regulating and controlling the high-temperature rheological stress-strain data or the corresponding high-temperature rheological constitutive model of the metal material implanted with the finite element program in the step 3.4 until the simulated tensile load-displacement data obtained in the step 3.5 and the deformation profile of the tensile sample are the same as the high-temperature tensile test result in the step 1, and reproducing the high-temperature tensile test process of each tensile sample in the step 1;
Step 4: comprehensively analyzing the high-temperature tensile load-displacement change characteristics of the tensile sample, the deformation profile characteristics of the tensile sample after fracture and the microscopic defect distribution characteristics of the deformation area of the tensile sample, and determining the critical necking amount of the tensile sample after damage and fracture;
step 4.1: analyzing the tensile load-displacement data of each tensile sample in the high-temperature stretching process, and preliminarily taking the necking quantity of the tensile sample, which is unstable deformation or is rapidly reduced along with the stretching displacement when the tensile sample is obviously necked in the stretching process, as a critical necking quantity according to the change characteristics of the tensile load-displacement;
step 4.2: observing and analyzing the deformation profile of each tensile sample after high-temperature stretching, and taking the necking quantity of the tensile sample subjected to obvious nonuniform necking deformation as a critical necking quantity according to the deformation profile characteristics;
step 4.3: microscopic observation and analysis are carried out on a deformation area, close to a fracture, of each tensile sample after high-temperature stretching, and the necking amount of microscopic damage and cracking of the tensile sample is initially taken as critical necking amount according to microscopic defect distribution characteristics such as micropores, microcracks and the like of the deformation area;
step 4.4: comprehensively analyzing the observation and analysis results of the step 4.1, the step 4.2 and the step 4.3, and finally determining the critical necking amount of each high-temperature tensile sample, which is subjected to damage cracking when being stretched at different temperatures and strain rates, corresponding to the preliminarily determined critical necking amount of each high-temperature tensile sample, which is subjected to damage cracking;
Step 5: reading stress and strain data of each unit node of the tensile sample simulated in the step 3 in each stretching step, calculating and determining a critical damage value C when the tensile sample reaches the critical necking amount determined in the step 4 under the corresponding temperature and strain rate by adopting a damage model f The damage model expression used is:
t, ζ and ε are temperature, strain rate and strain, respectively; c (C) f (T, xi) is the critical damage value of the metal material when stretching and cracking under different temperatures and strain rates; f (sigma) ij ) As a function of stress;
step 5.1: reading stress and strain data of each unit node of each tensile sample simulated in the step 3 in each tensile step through a finite element program, and calculating an accumulated damage value of the tensile sample in the high-temperature tensile process by adopting a damage model in the step 5;
step 5.2: comparing the calculated result in the step 5.1 with the critical necking amount of each tensile sample, which is determined in the step 4, and is subjected to damage and cracking in the high-temperature stretching process, so as to determine that each tensile sample is pulled at high temperatureThe accumulated damage value corresponding to the critical necking amount in the stretching process is used as a critical damage value C of the damage and cracking of the tensile sample in the high-temperature stretching process f ；
Step 6: establishing the critical damage value C determined in step 5 f And (3) carrying out normalization treatment on the damage model adopted in the step (5) by adopting the model, establishing a normalized high-temperature rheological damage model of the metal material, representing the high-temperature rheological damage behavior of the metal material, predicting the high-temperature rheological cracking tendency of the metal material, wherein the normalized high-temperature rheological damage model expression is as follows:
( The Damage accumulation value Damage is more than or equal to 1, and cracking occurs; damage is less than 1, and does not crack )
Step 6.1: establishing a nonlinear relation model of the critical damage value and the temperature and the strain rate of the tensile sample determined in the step 5 under different temperature and strain rate conditions through numerical analysis and calculation;
step 6.2: introducing the nonlinear relation model of the critical damage value and the temperature and strain rate established in the step 6.1 into the damage model adopted in the step 5, carrying out normalization treatment on the damage model, establishing a normalized high-temperature rheological damage model of the metal material, characterizing the high-temperature rheological damage behavior of the metal material, predicting the high-temperature rheological cracking tendency of the metal material, and enabling the normalized high-temperature rheological damage model expression to be shown in the step 6;
step 7: verifying and carrying out necessary correction on the high-temperature rheological damage model of the metal material established in the step 6, so as to ensure the accuracy of the model;
Step 7.1: carrying out hot forging experiments on the metal material under different temperature and strain rate conditions, and measuring critical forging deformation of the metal material, which is damaged and cracked in the hot forging experiment process;
step 7.2: embedding the high-temperature rheological damage model established in the step 6 into a finite element program, setting finite element simulation conditions the same as those of the hot forging experiment in the step 7.1, calculating critical forging deformation of the metal material, which is damaged and cracked in the hot forging process, comparing the critical forging deformation with the measurement result in the step 7.1, verifying the prediction precision and stability of the high-temperature rheological damage model established in the step 6, and carrying out necessary correction to obtain the high-temperature rheological damage model with high precision and high stability.
Prediction accuracy analysis of the high-temperature rheological damage model: FIG. 4 shows the use of the model in the hot forging process (deformation temperature 850-1150 ℃ C. And strain rate 0-30 s) of 410 stainless steel -1 ) And (3) comparing the damage cracking prediction result with the experimental result, wherein the prediction accuracy of the forging deformation amount when cracking occurs is controlled to be less than 5% in error, and the prediction accuracy meets the engineering application requirement. FIG. 8 shows the use of the model in a hot forging process (deformation temperature 800-1200deg.C, strain rate 0-30 s) for 45 steel -1 ) And (3) comparing the damage cracking prediction result with the experimental result, wherein the prediction accuracy of the forging deformation amount when cracking occurs is controlled to be less than 5% in error, and the prediction accuracy meets the engineering application requirement.
Stability analysis of high temperature rheological damage model: fig. 5 shows the error of the model for predicting the damage to the cracking of the 410 stainless steel by hot forging, and it can be seen that the damage model has good stable prediction ability even if the hot forging temperature of the 410 stainless steel is reduced from the initial forging temperature (1150 ℃) to the final forging temperature (850 ℃). Fig. 9 shows the error of using this model for 45 steel hot forging damage cracking prediction, and it can be seen that the damage model has a good stable prediction ability even if the hot forging temperature of 45 steel is lowered from the starting forging temperature (1200 c) to the final forging temperature (800 c).
And carrying out application verification on the high-temperature rheological damage model of the metal material. The method comprises the following steps:
implementation example 1:
and (3) predicting the high-temperature tensile damage cracking of the 410 stainless steel, and analyzing the prediction precision and stability. For the 410 stainless steel for the thermal processing mechanical parts, the high-temperature phase transformation and the common thermal processing process conditions are combined to obtain the thermal processing parameter range: the processing temperature is 850-1150 ℃; the processing strain rate is 0.01 to 10 seconds -1 The following Gleeble high temperature tensile test experiments were designed:
deformation temperature (deg.c): 850 950, 1050, 1150 ℃; strain rate(s) -1 )：0.01，0.1，1.0，10s -1 。
According to the method for constructing the high-temperature tensile test and high-temperature rheological damage model, firstly, a finite element model with the same shape, size and actual temperature distribution as those of each tensile sample of 410 stainless steel is established, for example, the finite element model of the tensile sample at the set temperature of 1050 ℃ is shown in figure 1; then, a high temperature tensile test process for reproducing each tensile specimen, for example, a tensile specimen at a set temperature of 1050 ℃ and 1s, was simulated -1 The comparison of the finite element simulation and experimental test results of high-temperature stretching at a set strain rate is shown in figure 2; then, determining the critical necking amount of each tensile sample in the damage and cracking process, and further calculating the corresponding critical damage value, for example, determining the critical necking amount of the tensile sample in the damage and cracking process in the high-temperature stretching process, wherein the schematic diagram is shown in fig. 3; finally, determining a relation model of a critical damage value and temperature and strain rate of damage and cracking of the high-temperature stretching of the 410 stainless steel, so as to establish a normalized high-temperature stretching damage model of the 410 stainless steel:
t, ζ and
absolute temperature, equivalent strain rate, and equivalent strain, respectively; sigma (sigma) m And->
Average stress and equivalent stress, respectively; a, a 0 ,a 1 ,a 2 ,a 3 ,a 4 ,a 5 ,a 6 The characteristic parameters of the materials are shown in Table 1.
The high temperature rheological damage model predicts 410 the stainless steel hot forging process (deformation temperature 850-1150 ℃ C., strain rate 0-30 s) -1 ) The comparison of the forging deformation amount with damage and cracking and the actual measurement result is shown in figure 4, the predicted relative error is less than +/-5%, and the actual heat heating is satisfiedEngineering application requirements.
The high temperature rheological damage model predicts 410 the stainless steel hot working process (deformation temperature 850-1150 ℃ C., strain rate 0-30 s) -1 ) The stability analysis of damage cracking is shown in fig. 5, and it can be seen from the graph that the high-temperature rheological damage model is suitable for the damage cracking prediction relative error of 410 stainless steel in the whole range from the initial forging temperature (1150 ℃) to the final forging temperature (850 ℃) is less than +/-5%, and has good stable prediction capability.
Table 1 Table 410 stainless Steel high temperature rheological damage cracking model Material characteristic parameters
| a 0 | a 1 | a 2 | a 3 | a 4 | a 5 | a 6 |
| 17.405 | -0.0426 | 3.67×10 -5 | -1.04×10 -8 | 0.5841 | -0.5168 | 0.046 |
Implementation example 2:
and (5) predicting the high-temperature tensile damage cracking of the 45 steel and analyzing the prediction accuracy. The 45 steel for the hot working machine parts is combined with the high-temperature phase transformation and the common hot working process conditions to obtain the hot working parameter range: the processing temperature is 800-1200 ℃; the processing strain rate is 0.01 to 10 seconds -1 The following Gleeble high temperature tensile test experiments were designed:
deformation temperature (deg.c): 800 900, 1000, 1100, 1200 ℃; strain rate(s) -1 )：0.01，0.1，1.0，10s -1 。
According to the method for constructing the high-temperature tensile test and high-temperature rheological damage model, firstly, a finite element model with the same shape, size and actual temperature distribution as those of each tensile sample of 45 steel is established, for example, the finite element model of the tensile sample at the set temperature of 1100 ℃ is shown in figure 6; then, a high temperature tensile test process for reproducing each tensile specimen, for example, a tensile specimen at a set temperature of 1100 ℃ and 1s, was simulated -1 The comparison of the finite element simulation and experimental test results of high-temperature stretching at a set strain rate is shown in fig. 7; then, determining the critical necking amount of each tensile sample in the damage and cracking process, and further calculating the corresponding critical damage value, for example, determining the critical necking amount of the tensile sample in the damage and cracking process in the high-temperature stretching process, wherein the schematic diagram is shown in fig. 3; finally, determining a relation model of a critical damage value and temperature and strain rate of the 45 steel high-temperature tensile damage cracking, and thus establishing a normalized 45 steel high-temperature tensile damage cracking model:
t, ζ and
absolute temperature, equivalent strain rate, and equivalent strain, respectively; sigma (sigma) m And->
Average stress and equivalent stress, respectively; a, a 0 ,a 1 ,a 2 ,a 3 ,a 4 ,a 5 ,a 6 For material characterization parameters, see table 2.
The high temperature rheological damage model predicts the hot forging process of 45 steel (deformation temperature 800-1200 ℃ C., strain rate 0-30 s) -1 ) The comparison of the forging deformation amount of damaged and cracked and the actual measurement result is shown in fig. 8, the predicted relative error is less than +/-5%, and the application requirements of actual thermal processing engineering are met.
The high temperature rheological damage model predicts the hot working process of 45 steel (deformation temperature 800-1200 ℃ C., strain rate 0-30 s) -1 ) The stability analysis of damage cracking is shown in fig. 9, and the high-temperature rheological damage model is applicable to the damage cracking prediction relative error of 45 steel in the whole range from the initial forging temperature (1200 ℃) to the final forging temperature (800 ℃) is less than +/-5%, so that the high-temperature rheological damage model has good stable prediction capability.
Table 2 characteristic parameters of 45 steel high temperature rheological damage cracking model material
| a 0 | a 1 | a 2 | a 3 | a 4 | a 5 | a 6 |
| -2.173 | 0.0056 | -2.984×10 -6 | 4.167×10 -10 | 1.077 | -1.12 | 0.1014 |
In summary, the high-temperature tensile test and the high-temperature rheological damage model construction method for the metal material can meet the simulation prediction requirements of high-temperature rheological damage cracking of the metal material required in the hot forging, hot rolling, hot extrusion, hot drawing and other hot processing processes and the mold optimization design process of the metal material such as iron-based, aluminum-based, copper-based, titanium-based, magnesium-based and the like.
While the foregoing description illustrates and describes several preferred embodiments of the invention, it is to be understood that the invention is not limited to the forms disclosed herein, but is not to be construed as limited to other embodiments, and is capable of use in various other combinations, modifications and environments and is capable of changes or modifications within the spirit of the invention described herein, either as a result of the foregoing teachings or as a result of the knowledge or skill of the relevant art. And that modifications and variations which do not depart from the spirit and scope of the invention are intended to be within the scope of the appended claims.
Claims (6)
1. A high-temperature tensile test and high-temperature rheological damage model construction method for a metal material is characterized by comprising the following steps:
step 1: measuring high-temperature tensile load-displacement data of the metal material tensile sample at different heating temperatures and strain rates by using a Gleeble thermal simulation machine; meanwhile, temperature distribution data of different positions of each tensile sample along the tensile direction during high-temperature stretching are measured;
step 2: establishing a finite element model with the same geometric shape size and temperature distribution as those of the tensile sample in a finite element simulation program by adopting the temperature distribution data of the tensile sample measured in the step 1;
step 3: measuring high-temperature rheological stress and strain data of a metal material by using a Gleeble thermal simulation machine, then implanting a finite element simulation program and correcting, combining with the finite element model established in the step 2, and simulating and reproducing the high-temperature stretching process of the stretching sample in the step 1;
step 4: comprehensively analyzing the high-temperature tensile load-displacement change characteristics of the tensile sample, the deformation profile characteristics of the tensile sample after fracture and the microscopic defect distribution characteristics of the deformation area of the tensile sample, and determining the critical necking amount of the tensile sample after damage and fracture;
Step 5: reading stress and strain data of each unit node of the tensile sample simulated in the step 3 in each stretching step, calculating and determining a critical damage value C when the tensile sample reaches the critical necking amount determined in the step 4 under the corresponding temperature and strain rate by adopting a damage model f The damage model expression used is:
t, ζ and ε are temperature, strain rate and strain, respectively; c (C) f (T, xi) is the critical damage value of the metal material when stretching and cracking under different temperatures and strain rates; f (sigma) ij ) As a function of stress;
step 6: establishing the critical damage value C determined in step 5 f And (3) carrying out normalization treatment on the damage model adopted in the step (5) by adopting the model, establishing a normalized high-temperature rheological damage model of the metal material, representing the high-temperature rheological damage behavior of the metal material, predicting the high-temperature rheological cracking tendency of the metal material, wherein the normalized high-temperature rheological damage model expression is as follows:
the Damage accumulation value Damage is more than or equal to 1, and cracking occurs; damage is less than 1, and cracking does not occur;
step 7: and (3) verifying and correcting the high-temperature rheological damage model of the metal material established in the step (6) to ensure the accuracy of the model.
The step 1 specifically includes:
step 1.1: analyzing the actual hot working process of the metal material, and determining the temperature and speed range of the metal material in the hot working deformation process;
step 1.2: according to the high-temperature tensile test standard of the metal material and in combination with the clamping requirement of a Gleeble thermal simulation machine, processing a high-temperature tensile sample with a specified shape and size;
step 1.3: carrying out high-temperature tensile tests of the high-temperature tensile samples processed in the step 1.2 under the combination conditions of different temperatures and strain rates on a Gleeble thermal simulator within the range of the thermal processing temperature and the rate of the metal material determined in the step 1.1, and measuring high-temperature tensile load-displacement data of each tensile sample under the corresponding temperature and strain rate; meanwhile, a temperature detector is adopted to measure temperature distribution data of different positions of each tensile sample along the tensile direction during high-temperature stretching.
The step 2 specifically includes:
step 2.1: establishing a finite element model with the same geometric shape and size as the high-temperature tensile sample in the step 1 in a finite element simulation program;
step 2.2: and (3) applying the temperature distribution data of the high-temperature tensile sample measured in the step (1) to each grid cell node of the finite element model established in the step (2.1), and establishing the finite element model with the same geometric shape size and temperature distribution as those of the high-temperature tensile sample in the step (1).
The step 3 specifically includes:
step 3.1: determining compression temperature and strain rate ranges of high-temperature rheological stress-strain data of the metal material through a Gleeble thermal simulation compression test according to the temperature distribution data and the strain rate ranges of the tensile sample in the tensile direction in the step 1;
step 3.2: according to a high-temperature compression test standard of a metal material and in combination with the clamping requirement of a Gleeble thermal simulation machine, processing a high-temperature compression sample with a specified shape and size;
step 3.3: carrying out high-temperature compression tests of the high-temperature compression samples processed in the step 3.2 under different temperature and strain rate conditions on a Gleeble thermal simulator in the compression temperature and strain rate range determined in the step 3.1, and measuring high-temperature compression rheological stress-strain data of each compression sample under the corresponding temperature and strain rate conditions to serve as preliminary high-temperature rheological stress-strain data of the metal material;
step 3.4: implanting a finite element simulation program into the high-temperature rheological stress-strain data of the metal material obtained in the step 3.3 in the form of a data set or a high-temperature rheological constitutive model constructed by the stress-strain data, and combining the finite element simulation program with the finite element model established in the step 2 to establish a finite element model which has the same geometric shape, size and temperature distribution as the high-temperature tensile sample in the step 1 and contains the rheological stress-strain data of the metal material;
Step 3.5: applying the same stretching rate and boundary conditions as those of the high-temperature stretching test in the step 1 to the finite element model of the high-temperature stretching test established in the step 3.4, and simulating the high-temperature stretching test process of each stretching test sample in the step 1 to obtain simulated stretching load-displacement data under different high-temperature stretching test conditions;
step 3.6: comparing the simulated tensile load-displacement data obtained in the step 3.5 under different temperature and strain rate conditions and the deformation profile of the tensile sample with the high-temperature tensile test result in the step 1, repeatedly regulating and controlling the high-temperature rheological stress-strain data or the corresponding high-temperature rheological constitutive model of the metal material implanted with the finite element program in the step 3.4 until the simulated tensile load-displacement data in the step 3.5 and the deformation profile of the tensile sample are the same as the high-temperature tensile test result in the step 1, and reproducing the high-temperature tensile test process of each tensile sample in the step 1.
2. The method for high temperature tensile testing and high temperature rheological damage model construction of metal material according to claim 1, wherein the step 4 specifically comprises:
step 4.1: analyzing the tensile load-displacement data of each tensile sample in the high-temperature stretching process, and preliminarily taking the necking quantity of the tensile sample, which is unstable deformation or is rapidly reduced along with the stretching displacement when the tensile sample is obviously necked in the stretching process, as a critical necking quantity according to the change characteristics of the tensile load-displacement;
Step 4.2: observing and analyzing the deformation profile of each tensile sample after high-temperature stretching, and taking the necking quantity of the tensile sample subjected to obvious nonuniform necking deformation as a critical necking quantity according to the deformation profile characteristics;
step 4.3: microscopic observation and analysis are carried out on a deformation area, close to a fracture, of each tensile sample after high-temperature stretching, and according to the micropore and microcrack distribution characteristics of the deformation area, the necking amount of microscopic damage and cracking of the tensile sample is initially taken as a critical necking amount;
step 4.4: comprehensively analyzing the observation and analysis results of the step 4.1, the step 4.2 and the step 4.3, and finally determining the critical necking amount of the damage cracking of each high-temperature tensile sample when the high-temperature tensile sample is stretched at different temperatures and strain rates corresponding to the preliminarily determined critical necking amount of the damage cracking of each high-temperature tensile sample.
3. The method for high temperature tensile testing and high temperature rheological damage model construction of metal material according to claim 1, wherein the step 5 specifically comprises:
step 5.1: and (3) reading stress and strain data of each unit node of each tensile sample simulated in the step (3) in each tensile step through a finite element program, calculating an accumulated damage value of the tensile sample in a high-temperature tensile process by adopting a damage model, wherein the adopted damage model expression is as follows:
T, ζ and ε are temperature, strain rate and strain, respectively; c (C) f (T, ζ) is critical loss of metallic material when stretching and cracking at different temperatures and strain ratesA wound value; f (sigma) ij ) As a function of stress;
step 5.2: comparing the calculated result in the step 5.1 with the critical necking quantity of each tensile sample which is determined in the step 4 and is damaged and cracked in the high-temperature stretching process, and determining the corresponding accumulated damage value when each tensile sample reaches the critical necking quantity in the high-temperature stretching process, wherein the accumulated damage value is used as a critical damage value C of the tensile sample which is damaged and cracked in the high-temperature stretching process f 。
4. The method for high temperature tensile testing and high temperature rheological damage model construction of metal material according to claim 1, wherein the step 6 specifically comprises:
step 6.1: establishing a nonlinear relation model of the critical damage value and the temperature and the strain rate of the tensile sample determined in the step 5 under different temperature and strain rate conditions through numerical analysis and calculation;
step 6.2: introducing the nonlinear relation model of the critical damage value and the temperature and the strain rate established in the step 6.1 into the damage model adopted in the step 5, carrying out normalization treatment on the damage model, establishing a normalized high-temperature rheological damage model of the metal material, characterizing the high-temperature rheological damage behavior of the metal material, predicting the high-temperature rheological cracking tendency of the metal material, wherein the normalized high-temperature rheological damage model expression is as follows:
The Damage accumulation value Damage is more than or equal to 1, and cracking occurs; damage is less than 1, and cracking does not occur.
5. The method for high temperature tensile testing and high temperature rheological damage model construction of metal material according to claim 1, wherein the step 7 specifically comprises:
step 7.1: carrying out hot forging experiments on the metal material under different temperature and strain rate conditions, and measuring critical forging deformation of the metal material, which is damaged and cracked in the hot forging experiment process;
step 7.2: embedding the high-temperature rheological damage model established in the step 6 into a finite element program, setting finite element simulation conditions the same as those of the hot forging experiment in the step 7.1, calculating critical forging deformation of the metal material subjected to damage and cracking in the hot forging process, comparing the critical forging deformation with the measurement result in the step 7.1, verifying the prediction precision and stability of the high-temperature rheological damage model established in the step 6, and correcting the prediction precision and stability to obtain the high-temperature rheological damage model with high precision and high stability.
6. The method for high-temperature tensile testing and high-temperature rheological damage model construction of the metal material according to claim 1, wherein the method for high-temperature tensile testing and high-temperature rheological damage model construction is applicable to high-temperature tensile testing and high-temperature rheological damage model construction of iron-based, aluminum-based, copper-based, titanium-based and magnesium-based metal materials, and the constructed high-temperature rheological damage model can be applied to optimization design of hot forging, hot rolling, hot extrusion, hot drawing and hot processing processes and dies of the metal materials.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110103032.4A CN112926234B (en) | 2021-01-26 | 2021-01-26 | High-temperature tensile test and high-temperature rheological damage model construction method for metal material |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110103032.4A CN112926234B (en) | 2021-01-26 | 2021-01-26 | High-temperature tensile test and high-temperature rheological damage model construction method for metal material |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112926234A CN112926234A (en) | 2021-06-08 |
| CN112926234B true CN112926234B (en) | 2023-05-02 |
Family
ID=76166221
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110103032.4A Active CN112926234B (en) | 2021-01-26 | 2021-01-26 | High-temperature tensile test and high-temperature rheological damage model construction method for metal material |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112926234B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113486459A (en) * | 2021-06-22 | 2021-10-08 | 南京钢铁股份有限公司 | DEFORM simulation-based method for preventing bending cracking of low-alloy structural steel |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102629288A (en) * | 2012-03-01 | 2012-08-08 | 西北工业大学 | Surface crack prediction method of liquid-solid extrusion products based on finite element simulation |
| CN105160066A (en) * | 2015-08-05 | 2015-12-16 | 吉林大学 | Impact-resistant part simulation design method in view of forming damage |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8186875B2 (en) * | 2008-09-14 | 2012-05-29 | Nuovo Pignone S.P.A. | Method for determining reheat cracking susceptibility |
| CN104573394B (en) * | 2015-01-27 | 2017-06-16 | 西华大学 | The accurate acquisition methods of power cable system thermal model characteristic parameter |
| KR20170031906A (en) * | 2015-09-14 | 2017-03-22 | 서강대학교산학협력단 | Prediction method of wear and life of press tool using wear model |
| CN106383928B (en) * | 2016-08-30 | 2019-09-20 | 西华大学 | A kind of sintered powder material high-temp plastic rheology densification constitutive model construction method |
| CN108319737B (en) * | 2017-01-17 | 2021-04-20 | 沈阳工业大学 | Flow field temperature field coupling simulation analysis method for high-speed train aluminum alloy gearbox |
| CN107894365A (en) * | 2017-11-08 | 2018-04-10 | 哈尔滨工业大学 | A kind of fixture and clamp method of tested conductor material ultra-temperature tensile property |
-
2021
- 2021-01-26 CN CN202110103032.4A patent/CN112926234B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102629288A (en) * | 2012-03-01 | 2012-08-08 | 西北工业大学 | Surface crack prediction method of liquid-solid extrusion products based on finite element simulation |
| CN105160066A (en) * | 2015-08-05 | 2015-12-16 | 吉林大学 | Impact-resistant part simulation design method in view of forming damage |
Non-Patent Citations (1)
| Title |
|---|
| 刘佳琪 ; 陈学文 ; 皇涛 ; 杜科学 ; 宋克兴 ; .2A12铝合金临界损伤值测定及试验验证.塑性工程学报.2020,(第01期),第137-143页. * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112926234A (en) | 2021-06-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Zhang et al. | Inverse identification of the post-necking work hardening behaviour of thick HSS through full-field strain measurements during diffuse necking | |
| Fan et al. | Friction assessment in uniaxial compression test: A new evaluation method based on local bulge profile | |
| Gao et al. | Microstructure and damage based constitutive modelling of hot deformation of titanium alloys | |
| CN107389445B (en) | Method for evaluating reheat crack sensitivity of material through stress relaxation test | |
| CN110308059A (en) | A kind of welding process material circulation Temperature measurement test method | |
| Sorgente et al. | Characterization of a superplastic aluminium alloy ALNOVI-U through free inflation tests and inverse analysis | |
| CN109446728B (en) | Prediction method for near-alpha titanium alloy low-power coarse grain structure distribution | |
| US8437991B2 (en) | Systems and methods for predicting heat transfer coefficients during quenching | |
| Xiao et al. | Flow stress correction for hot compression of titanium alloys considering temperature gradient induced heterogeneous deformation | |
| Shen et al. | Forming limit prediction by the Marciniak–Kuczynski model coupled with the evolving non-associated Hill48 plasticity model | |
| Bariani et al. | Integrating physical and numerical simulation techniques to design the hot forging process of stainless steel turbine blades | |
| CN112926234B (en) | High-temperature tensile test and high-temperature rheological damage model construction method for metal material | |
| Chen et al. | Material response, localization and failure of an aluminum alloy under combined shear and tension: Part II analysis | |
| CN105677949A (en) | Method for predicting TC6 titanium alloy forging piece microstructural parameters | |
| Chen et al. | Energy-based approach to thermal fatigue life of tool steels for die casting dies | |
| Ma et al. | A new damage constitutive model for thermal deformation of AA6111 sheet | |
| Guzmán et al. | Damage characterization in a ferritic steel sheet: Experimental tests, parameter identification and numerical modeling | |
| Xu et al. | Local and global tensile deformation behavior of AA7075 sheet material at 673oK and different strain rates | |
| CN114295491B (en) | Prediction method for creep damage and deformation evolution behavior along with time | |
| Zhang et al. | A study on the parameter identification and failure prediction of ductile metals using Gurson–Tvergaard–Needleman (GTN) model | |
| Xu et al. | Constitutive model parameter identification for 6063 aluminum alloy using inverse analysis method for extrusion applications | |
| CN111879910A (en) | Test method for optimizing forging process parameters and structure performance | |
| Zhang et al. | Damage and cracking prediction of AISI 410 martensitic stainless steel at elevated temperatures | |
| CN112926236B (en) | High-temperature tensile test and high-temperature rheological damage model construction method for powder metallurgy material | |
| Bruschi et al. | Distortions induced in turbine blades by hot forging and cooling |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |