CN108918308A - A kind of quantitatively characterizing method of titanium alloy surface gradient modified layer Elastoplastic Performances in Simulation parameter - Google Patents
A kind of quantitatively characterizing method of titanium alloy surface gradient modified layer Elastoplastic Performances in Simulation parameter Download PDFInfo
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- 238000004088 simulation Methods 0.000 title claims abstract description 44
- 229910001069 Ti alloy Inorganic materials 0.000 title claims abstract description 41
- 238000000034 method Methods 0.000 title claims description 30
- 238000012360 testing method Methods 0.000 claims abstract description 29
- 238000007373 indentation Methods 0.000 claims abstract description 24
- 238000009792 diffusion process Methods 0.000 claims abstract description 23
- 239000000758 substrate Substances 0.000 claims abstract description 19
- 238000004458 analytical method Methods 0.000 claims abstract description 14
- 239000011159 matrix material Substances 0.000 claims abstract description 4
- 238000006073 displacement reaction Methods 0.000 claims description 12
- 238000005482 strain hardening Methods 0.000 claims description 9
- 241000208340 Araliaceae Species 0.000 claims description 4
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 claims description 4
- 235000003140 Panax quinquefolius Nutrition 0.000 claims description 4
- 235000008434 ginseng Nutrition 0.000 claims description 4
- 239000000463 material Substances 0.000 claims description 4
- 238000004611 spectroscopical analysis Methods 0.000 claims description 3
- 240000007594 Oryza sativa Species 0.000 claims description 2
- 235000007164 Oryza sativa Nutrition 0.000 claims description 2
- 235000009566 rice Nutrition 0.000 claims description 2
- 230000008021 deposition Effects 0.000 abstract description 6
- 229910052751 metal Inorganic materials 0.000 abstract description 4
- 239000002184 metal Substances 0.000 abstract description 4
- 238000012512 characterization method Methods 0.000 abstract description 3
- 238000012986 modification Methods 0.000 abstract 2
- 230000004048 modification Effects 0.000 abstract 2
- PXHVJJICTQNCMI-UHFFFAOYSA-N Nickel Chemical compound [Ni] PXHVJJICTQNCMI-UHFFFAOYSA-N 0.000 description 4
- 239000010936 titanium Substances 0.000 description 4
- ZOKXTWBITQBERF-UHFFFAOYSA-N Molybdenum Chemical compound [Mo] ZOKXTWBITQBERF-UHFFFAOYSA-N 0.000 description 3
- RTAQQCXQSZGOHL-UHFFFAOYSA-N Titanium Chemical compound [Ti] RTAQQCXQSZGOHL-UHFFFAOYSA-N 0.000 description 3
- 229910052750 molybdenum Inorganic materials 0.000 description 3
- 239000011733 molybdenum Substances 0.000 description 3
- 238000002791 soaking Methods 0.000 description 3
- 229910052719 titanium Inorganic materials 0.000 description 3
- 229910000883 Ti6Al4V Inorganic materials 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000005275 alloying Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000002131 composite material Substances 0.000 description 1
- 150000001875 compounds Chemical class 0.000 description 1
- 238000005260 corrosion Methods 0.000 description 1
- -1 ferrous metals Chemical class 0.000 description 1
- PCHJSUWPFVWCPO-UHFFFAOYSA-N gold Chemical compound [Au] PCHJSUWPFVWCPO-UHFFFAOYSA-N 0.000 description 1
- 239000010931 gold Substances 0.000 description 1
- 229910052737 gold Inorganic materials 0.000 description 1
- 150000002739 metals Chemical class 0.000 description 1
- 238000007544 microindentation test Methods 0.000 description 1
- 229910052759 nickel Inorganic materials 0.000 description 1
- ZVWKZXLXHLZXLS-UHFFFAOYSA-N zirconium nitride Chemical compound [Zr]#N ZVWKZXLXHLZXLS-UHFFFAOYSA-N 0.000 description 1
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- 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
- G01N3/40—Investigating hardness or rebound hardness
- G01N3/42—Investigating hardness or rebound hardness by performing impressions under a steady load by indentors, e.g. sphere, pyramid
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- 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
- G01N2203/0014—Type of force applied
- G01N2203/0016—Tensile or compressive
- G01N2203/0019—Compressive
-
- 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
- G01N2203/0076—Hardness, compressibility or resistance to crushing
- G01N2203/0078—Hardness, compressibility or resistance to crushing using indentation
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- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
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- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
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- Investigating Strength Of Materials By Application Of Mechanical Stress (AREA)
Abstract
本发明公开了一种钛合金表面梯度改性层弹塑性性能参数的定量表征方法，属于金属表面改性层性能表征领域。钛合金表面梯度改性层包括沉积层和扩散层两部分。首先，利用辉光放电光谱仪和扫描电镜确定沉积层和扩散层的厚度；其次，结合纳米压入测试和有限元数值模拟反演分析算法确定钛合金基材和沉积层的弹塑性性能参数；对沉积层进行纳米压入测试时，压痕深度要小于沉积层厚度的1/10，以避免扩散层和基体的影响；最后，利用数学线性简化模型确定扩散层的弹塑性性能参数。本发明易于应用，所得结果准确可靠，可以用来定量表征钛合金表面梯度改性层的弹塑性性能参数。
The invention discloses a quantitative characterization method for elastic-plastic performance parameters of a gradient modified layer on a titanium alloy surface, and belongs to the field of performance characterization of a metal surface modified layer. The titanium alloy surface gradient modification layer includes two parts: a deposition layer and a diffusion layer. First, the thickness of the deposition layer and the diffusion layer were determined by using a glow discharge spectrometer and a scanning electron microscope; secondly, the elastic-plastic performance parameters of the titanium alloy substrate and the deposition layer were determined by combining the nano-indentation test and the finite element numerical simulation inversion analysis algorithm; When the deposition layer is subjected to nano-indentation testing, the indentation depth should be less than 1/10 of the thickness of the deposition layer to avoid the influence of the diffusion layer and the matrix; finally, the elastoplastic performance parameters of the diffusion layer are determined using a mathematical linear simplified model. The invention is easy to apply, the obtained result is accurate and reliable, and can be used to quantitatively characterize the elastic-plastic performance parameters of the titanium alloy surface gradient modification layer.
Description
Technical field
The present invention relates to a kind of quantitatively characterizing methods of titanium alloy surface gradient modified layer Elastoplastic Performances in Simulation parameter, belong to gold
Metal surface modified layer mechanical property representational field.
Background technique
Titanium alloy is widely used in aerospace, changes since specific strength is high, anti-corrosion and biocompatibility is excellent
The fields such as work, sports apparatus and biologic medical.But titanium alloy hardness is low, coefficient of friction is high, and surface mechanical properties are obviously not as good as often
It with ferrous metals structural material, and then limits its scope of application, affects the safety and reliability of its structure.Therefore, right
Titanium alloy surface is modified processing, and improving its surface load drag is the proposition for needing emphasis to solve in titanium alloy application.Mesh
The preceding technique for carrying out plasma surface alloying processing for titanium alloy is comparatively mature, can by control workpiece pole and
Pressure difference and modified technique temperature between source electrode, obtain the gradient modified layer of different-thickness and performance.However, due to titanium alloy
Surface graded modified layer mechanical property parameters lack quantitatively characterizing means, though cause it to have preferable modified performance can not be
It is widely used in practice.
Titanium alloy surface gradient modified layer is mainly by its mechanical property of composite hardness qualitative characterization at present, however practical face
The problem of facing is the Elastoplastic Performances in Simulation parameter for only quantitatively acquiring gradient modified layer, can just be investigated by finite element numerical simulation
Stress, strain regime under contact conditions inside modified layer, establish corresponding inefficacy mechanism, are then Surface-modified Layers on Ti Alloy
Design and engineer application provide theoretical reference.
Summary of the invention
The present invention is intended to provide a kind of quantitatively characterizing method of titanium alloy surface gradient modified layer Elastoplastic Performances in Simulation parameter, leads to
The elasticity modulus of change of gradient on titanium alloy surface gradient modified layer thickness direction, strain hardening can quantitatively be acquired by crossing this method
Index and yield limit can then determine that corresponding power law strengthens constitutive equation at different-thickness.
The present invention provides a kind of plastoelastic quantitatively characterizing methods of titanium alloy surface gradient modified layer, use nanometer first
Indentation test and finite element numerical simulation back analysis algorithm, determine the Elastoplastic Performances in Simulation parameter of titanium alloy substrate, then determine
The Elastoplastic Performances in Simulation parameter of sedimentary determines the Elastoplastic Performances in Simulation parameter of diffusion layer finally by mathematical linear simplified model.
Above-mentioned characterizing method, comprises the steps of：
Step 1：Determine the thickness of sedimentary and diffusion layer：Changed using GDOES-750 glow discharge spectrometry detection gradient
The component distributing of property layer, the thickness d of sedimentary is determined in conjunction with cross-sectional scans electromicroscopic photograph1With the thickness d of diffusion layer2；
Step 2：Nanometer indentation test：10 test points are chosen, using displacement loading mode, to titanium alloy substrate and are sunk
Build-up surface carries out nanometer indentation test respectively, is averaged as test result；
Step 3：Solve the Elastoplastic Performances in Simulation parameter of titanium alloy substrate and sedimentary：Utilize ABAQUS finite element software pair
Nanometer process of press in carries out the back analysis algorithm of back analysis foundation, solves the Elastoplastic Performances in Simulation of titanium alloy substrate and sedimentary
Parameter；Back analysis algorithm includes following 5 formula：
σ in above-mentioned formularIt is characterized stress, εrIt is characterized strain, Π u is dimensionless function, is obtained by finite element modelling；
ErFor complex elastic-modulus, H is hardness, is directly measured by nanometer indentation；C is the curvature of loading curve in test result, is passed through
Curve matching determines；hmaxDeep, the h for the corresponding maximum pressure of load-displacement curvesfFor the corresponding residual pressure of load-displacement curves
It is deep, it is determined by test gained load-displacement curves；N is work-hardening exponential, is determined by dimensionless function；E is elasticity modulus,
It is determined by complex elastic-modulus；V is Poisson's ratio, takes constant 0.25；
Step 4：Solve the Elastoplastic Performances in Simulation parameter of diffusion layer：Diffusion layer is solved using linear simplifiation model expression
Elastoplastic Performances in Simulation parameter；Linear simplifiation model expression is：(directly being extracted by attached drawing 2)
X represents elasticity modulus, yield limit and work-hardening exponential (X is expressed as three parameters, because three accords in formula
Close sublinear relationship), d is the vertical range of distance modified layer surface in certain point inside modified layer, XSubstrateAnd XSurfaceRespectively
For titanium alloy substrate and the elasticity modulus of sedimentary, yield limit and work-hardening exponential.
Above-mentioned characterizing method, when carrying out nanometer indentation test to sedimentary in the step 2, depth of cup should be less than d1/
10, to avoid the influence of diffusion layer and matrix.
Above-mentioned characterizing method, feature stresses σ in the step 3r, characteristic strain εrAnd the expression of dimensionless function Π u
Formula is determined, the mechanical property ginseng of assumed material by assuming that material known to a collection of Elastoplastic Performances in Simulation carries out finite element modelling
Number covers most metals.
Above-mentioned characterizing method, back analysis algorithm corresponds to the expression of formula (3) and is in the step 3：
Above-mentioned characterizing method, the linear math simplified model in the step 4 is changed according to different modified techniques and difference
Property layer cross section nanometer indentation test gained mechanical property parameters Distribution dynamics depending on.
Beneficial effects of the present invention：
Nanometer indentation test need to only be carried out to titanium alloy substrate and sedimentary using the method for the present invention, without to modified layer
The cross section of (sedimentary adds diffusion layer) carries out nanometer indentation test, so as to quickly and efficiently quantitatively characterizing titanium alloy table
The mechanical property parameters of face gradient modified layer.
Detailed description of the invention
Fig. 1 is that 1 gradient modified layer of embodiment and nanometer are pressed into schematic diagram.
Fig. 2 is the linear simplifiation model that embodiment 1 solves diffusion layer Elastoplastic Performances in Simulation parameter.
Fig. 3 is load-displacement curves pair obtained by the pure titanium surface molybdenum diffusion layer micron micro-indentation test of embodiment 1 and finite element modelling
Than figure.
Specific embodiment
The present invention is further illustrated below by embodiment, but is not limited to following embodiment.
Embodiment 1：
(technological parameter is so that molybdenum Mo is seeped on the surface pure titanium Ti as an example：Source electrode -660~-900V of back bias voltage, workpiece pole back bias voltage -
300~-650V, 900 DEG C of temperature, soaking time 3h), the Elastoplastic Performances in Simulation ginseng of Mo gradient modified layer is solved by the method for the invention
Number, specifically includes following steps：
Step 1：Determine the thickness of sedimentary and diffusion layer：Changed using GDOES-750 glow discharge spectrometry detection gradient
The component distributing of property layer, the thickness d of sedimentary is determined in conjunction with cross-sectional scans electromicroscopic photograph1With the thickness d of diffusion layer2；
Step 2：Nanometer indentation test：10 test points are chosen, using displacement loading mode, to titanium alloy substrate and deposition
Layer surface carries out nanometer indentation test respectively, is averaged as test result.When carrying out nanometer indentation test to sedimentary, pressure
Trace depth is less than d1/ 10, to avoid the influence of diffusion layer and matrix；
Step 3：Solve the Elastoplastic Performances in Simulation parameter of titanium alloy substrate and sedimentary：Using ABAQUS finite element software to receiving
Rice process of press in carries out the back analysis algorithm of back analysis foundation, solves the Elastoplastic Performances in Simulation ginseng of titanium alloy substrate and sedimentary
Number.Back analysis algorithm includes following 5 formula：
σ in above-mentioned formularAnd εrIt is characterized stress and characteristic strain, ΠuFor dimensionless function, ErIt is respectively compound bullet with H
Property modulus and hardness, directly measured by nanometer indentation, C is the curvature of loading curve in test result, hmaxAnd hfRespectively test
The corresponding maximum pressure of gained load-displacement curves is deep and residual pressure is deep, and n is work-hardening exponential, and E is elasticity modulus.
Step 4：Solve the Elastoplastic Performances in Simulation parameter of diffusion layer：The bullet of diffusion layer is solved using linear simplifiation model expression
Plastic property parameter.Linear simplifiation model expression is：
X represents elasticity modulus, yield limit and work-hardening exponential in formula, and d is that certain point distance is modified inside modified layer
The vertical range of layer surface, XSubstrateAnd XSurfaceRespectively titanium alloy substrate and the elasticity modulus of sedimentary, yield limit and
Work-hardening exponential.
It can be shown in Table through the above steps with the Elastoplastic Performances in Simulation parameter of quantitatively characterizing Mo gradient modified layer, specific solving result
1.Fig. 1 and Fig. 2 is respectively nanometer indentation schematic diagram and linear simplifiation illustraton of model.The mode that nanometer indentation takes displacement to load.It is right
Pure titanium surface molybdenum gradient modified layer carries out micron indentation test and finite element numerical simulation, gained empirical curve and simulation curve are deposited
The extraordinary goodness of fit (as shown in Figure 3), it was demonstrated that the Elastoplastic Performances in Simulation parameter accurate and effective of required Mo gradient modified layer, simultaneously
Also demonstrate the feasibility of the method for the present invention.
The Elastoplastic Performances in Simulation parameter of 1 surface Ti Mo gradient modified layer of table
Embodiment 2：
(technological parameter is so that nickel is seeped on titanium alloy ti6al4v surface as an example：Source electrode -700~-900V of back bias voltage, workpiece pole
Back bias voltage -500~-700V, 930 DEG C of temperature, soaking time 3h), using the method and steps of same embodiment 1, acquire Ni gradient
The Elastoplastic Performances in Simulation parameter of modified layer is shown in Table 2.
The Elastoplastic Performances in Simulation parameter of 2 surface Ti6Al4V Ni gradient modified layer of table
Embodiment 3：
(technological parameter is by taking titanium alloy ti6al4v surface zirconium-nitrogen (Zr-N) permeation as an example：Source electrode back bias voltage -720~-
820V, workpiece pole -450~-500V of back bias voltage, 930 DEG C of technological temperature, soaking time 3h), using same embodiment 1 method and
Step, the Elastoplastic Performances in Simulation parameter for acquiring Zr-N gradient modified layer are shown in Table 3.
The Elastoplastic Performances in Simulation parameter of 3 surface Ti6Al4V Zr-N gradient modified layer of table
。
Claims (6)
1. a kind of quantitatively characterizing method of titanium alloy surface gradient modified layer Elastoplastic Performances in Simulation parameter, it is characterised in that：It adopts first
With nanometer indentation test and finite element numerical simulation back analysis algorithm, the Elastoplastic Performances in Simulation parameter of titanium alloy substrate is determined, so
Determine that the Elastoplastic Performances in Simulation parameter of sedimentary determines the Elastoplastic Performances in Simulation of diffusion layer finally by mathematical linear simplified model afterwards
Parameter.
2. the quantitatively characterizing method of titanium alloy surface gradient modified layer Elastoplastic Performances in Simulation parameter according to claim 1,
It is characterized in that：It comprises the steps of：
Step 1：Determine the thickness of sedimentary and diffusion layer：Gradient modified layer is detected using GDOES-750 glow discharge spectrometry
Component distributing, the thickness d of sedimentary is determined in conjunction with cross-sectional scans electromicroscopic photograph1With the thickness d of diffusion layer2；
Step 2：Nanometer indentation test：10 test points are chosen, using displacement loading mode, to titanium alloy substrate and sedimentary
Surface carries out nanometer indentation test respectively, is averaged as test result；
Step 3：Solve the Elastoplastic Performances in Simulation parameter of titanium alloy substrate and sedimentary：Using ABAQUS finite element software to nanometer
Process of press in carries out the back analysis algorithm of back analysis foundation, solves the Elastoplastic Performances in Simulation ginseng of titanium alloy substrate and sedimentary
Number；Back analysis algorithm includes following 5 formula：
σ in above-mentioned formularIt is characterized stress, εrIt is characterized strain, ΠuFor dimensionless function, obtained by finite element modelling；ErIt is multiple
Elasticity modulus is closed, H is hardness, is directly measured by nanometer indentation；C is the curvature of loading curve in test result, quasi- by curve
It closes and determines；hmaxDeep, the h for the corresponding maximum pressure of load-displacement curvesfIt is deep for the corresponding residual pressure of load-displacement curves, by surveying
Examination gained load-displacement curves determine；N is work-hardening exponential, by dimensionless function ΠuIt determines；E is elasticity modulus, by multiple
Elasticity modulus is closed to determine；V is Poisson's ratio, takes constant 0.25；
Step 4：Solve the Elastoplastic Performances in Simulation parameter of diffusion layer：It is moulded using the bullet that linear simplifiation model expression solves diffusion layer
Property performance parameter；Linear simplifiation model expression is：
X represents elasticity modulus, yield limit and work-hardening exponential in formula, and d is modified layer inside certain point apart from modified layer table
The vertical range in face, XSubstrateAnd XSurfaceRespectively titanium alloy substrate and the elasticity modulus of sedimentary, yield limit and strain
Intensified index.
3. the quantitatively characterizing method of titanium alloy surface gradient modified layer Elastoplastic Performances in Simulation parameter according to claim 2,
It is characterized in that：When carrying out nanometer indentation test to sedimentary in the step 2, depth of cup should be less than d1/ 10, to avoid expansion
Dissipate the influence of layer and matrix.
4. the quantitatively characterizing method of titanium alloy surface gradient modified layer Elastoplastic Performances in Simulation parameter according to claim 2,
It is characterized in that：Feature stresses σ in the step 3r, characteristic strain εrAnd the expression formula of dimensionless function Π u, by assuming one
The progress finite element modelling of material known to Elastoplastic Performances in Simulation is criticized to determine.
5. the quantitatively characterizing method of titanium alloy surface gradient modified layer Elastoplastic Performances in Simulation parameter according to claim 2,
It is characterized in that：Back analysis algorithm corresponds to the expression of formula (3) and is in the step 3：
6. the quantitatively characterizing method of titanium alloy surface gradient modified layer Elastoplastic Performances in Simulation parameter according to claim 2,
It is characterized in that：Linear math simplified model in the step 4 is received according to different modified techniques and different modified layer cross sections
Depending on the Distribution dynamics of rice indentation test gained mechanical property parameters.
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| CN111855458A (en) * | 2020-07-23 | 2020-10-30 | 西北工业大学 | A method for solving the constitutive relation of porous materials based on nanoindentation theory |
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