CN105910886A - Browman constitutive optimization model of aluminum alloy stress-strain relation and application of Browman constitutive optimization model - Google Patents
Browman constitutive optimization model of aluminum alloy stress-strain relation and application of Browman constitutive optimization model Download PDFInfo
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Abstract
The invention relates to a Browman constitutive optimization model of an aluminum ally stress-strain relation and application of the Browman constitutive optimization model. Combined with aluminum alloy stress-strain experimental data, a strength coefficient, a strain hardening index and a strain rate sensitivity index are calculated according to a least square method, a stress-strain relational expression based on the Browman constitutive optimization model is determined, and aluminum alloy performance is predicated. Compared with the prior art, the Browman constitutive optimization model has the advantages of high prediction accuracy and capability of accurately revealing the rule that the stress of aluminum alloy changes along with strain.
Description
Technical field
The present invention relates to aluminium alloy capability Predicting Technique, especially relate to a kind of aluminium alloy stress-strain relation
Browman this structure Optimized model and application thereof.
Background technology
Aluminium alloy is automobile, the light-weighted preferred material in Aeronautics and Astronautics field, and its application is quite varied.In space flight
On device, aluminium alloy is main fuel tank, the ideal material of combustion adjuvant case;Aboard, aluminium alloy is mainly used in
Structural material, such as eyelid covering, wallboard and undercarriage leg etc..Aluminium alloy also be solve communications include high-speed railway,
The breach of the lightweight problems such as subway transports and automobile visitor, shipping is defeated.Aluminium alloy is in the thermoplasticity course of processing
In the dynamic response of kinetic parameter is embodied by constitutive relation, constitutive relation is also finite element analysis
Foundation and the basis of formulation forming technology, wherein, the research of stress-strain Constitutive Relationship is to improving aluminium alloy mechanical property
Can have the most important meaning.At present, the constitutive model of aluminum alloy materials ess-strain is carried out by a lot of scholars
Research, such as Hollomon, Ludwik, Browman model etc., wherein, Browman model is to apply more
Extensive and ripe a kind of constitutive model, but precision of prediction still awaits improving further.
Summary of the invention
Defect that the purpose of the present invention is contemplated to overcome above-mentioned prior art to exist and a kind of aluminium alloy stress is provided
Browman this structure Optimized model of strain stress relation and application thereof.
The purpose of the present invention can be achieved through the following technical solutions:
At present, the Browman constitutive models using following form describe the stress-strain relation of aluminium alloy more.
In formula, σ is stress, and ε is strain,For strain rate, K is strength factor, and n is strain hardening exponent, m
For strain-rate-sensitivity exponent.
In order to preferably study crystallized ability during aluminium alloy high temperature, improve the precision of prediction of aluminium alloy constitutive model,
And provide theoretical foundation and technical support for aluminum lightweight.
Browman this structure Optimized model of a kind of aluminium alloy stress-strain relation, in conjunction with hyperbolic sine function and aluminum
Alloy stress strain stress relation, uses and is optimized Browman constitutive model with drag
In formula, σ is stress, and ε is strain,For strain rate, K is strength factor, and n is that strain hardening refers to
Number, m is strain-rate-sensitivity exponent;
And determine strain hardening exponent, strain-rate-sensitivity exponent and strength factor.
Described strain hardening exponent n determines that process is as follows:
In strain rate one timing, formula (1) is deformed into
σ=K1(sinhε)n (2)
In formula, K1For constant;
Are taken the logarithm in formula (2) both sides simultaneously
Ln σ=lnK1+nln(sinhε) (3)
Strain hardening exponent n is an important parameter of gauge sheet metal deformation strengthening ability, is also to evaluate plate stamping
The actual parameter of stretch forming;Strain hardening exponent n is by obtaining the slope of ln σ Yu lnsinh (ε) relation curve
Obtain;Therefore n value obtains by formula (3) is carried out linear fit, and its expression formula is written as
In formula, A is the coefficient that affects of strain rate, and B is that temperature T affects relation to n value;B useable linear relation
Formula describes the relation between temperature
B=a+bT (5)
In formula, a and b is undetermined constant.
Described strain-rate-sensitivity exponent m determines that process is as follows:
When strain keeps constant, formula (1) can transform to
In formula, K2For constant, formula (6) is taken the logarithm
From formula (7), strain hardening and strain-rate sensitivity Coefficient m be curve ln σ withSlope, therefore
By rightCarry out linear fit to try to achieve;M variation with temperature relational representation is
M=d1+d2T (8)
In formula, d1、d2It is undetermined constant.
Described strength factor K determines that process is as follows:
K value is relevant with deformation temperature, is written as
K=e1+e2T (10)
In formula, e1、e2It is undetermined constant.
The application of Browman this structure Optimized model of a kind of aluminium alloy stress-strain relation, in conjunction with aluminium alloy stress
Strain-gauge test data, use method of least square to calculate strength factor, strain hardening exponent and strain hardening and strain-rate sensitivity and refer to
Number, so that it is determined that stress-strain relation of based on Browman this structure Optimized model, enters aluminium alloy capability
Row prediction.
Compared with prior art, the present invention combines the feature of hyperbolic sine function and aluminium alloy stress-strain diagram,
Establish Browman this structure Optimized model, and this Optimized model is applied to 6016H18 Mechanical Properties of Aluminum Alloys
Prediction, it is determined that strain hardening exponent, strain-rate-sensitivity exponent and strength factor, obtained this aluminium alloy based on
The stress-strain relation of Browman this structure Optimized model;Empirical tests, Browman this structure Optimized model pre-
Survey precision higher, more can disclose the aluminium alloy stress rule with strain variation exactly.
Accompanying drawing explanation
Fig. 1 be strain rate of the present invention be 0.001s-1Time ln σ-ln (sinh ε) fitting a straight line figure;
Fig. 2 is the n value of the present invention variation relation figure with strain rate and temperature;
Fig. 3 be strain rate of the present invention be 0.1s-1Time B value variation with temperature graph of a relation;
When Fig. 4 is 6016H18 aluminum alloy T=450 DEG C of the present inventionQuadratic fit curve figure;
Fig. 5 is that 6016H18 aluminium alloy existsTime K value and temperature relation figure;
Fig. 6 be strain rate be 0.1s-1Time 6016H18 aluminium alloy stress match value and test value comparison diagram.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear,
It is fully described by, it is clear that described embodiment is a part of embodiment of the present invention rather than whole embodiment.
Based on the embodiment in the present invention, those of ordinary skill in the art are obtained on the premise of not making creative work
The every other embodiment obtained, all should belong to the scope of protection of the invention.
The precision of prediction of Browman this structure Optimized model obtained for the checking present invention, below by this Optimized model
It is applied in the stress prediction of 6016H18 aluminium alloy.
Understood n value by formula (3) and be the slope of ln σ Yu ln (sinh ε) relation curve, select 6016H18 aluminum to close
Stress test value under Jin Wu kind temperature, five kinds of strain rates, starts to produce strain hardening from stress-strain diagram
Part starts to take point (σi,εi), until close to peak stress, with strain rateExamination as a example by the case of
Test data point (σi,εi) as shown in Figure 1.Therefore, (ln σ can be calculatedi,ln(sinhεi)), and it is linearly returned
Returning, show that the slope of straight line is n value, the fitting a straight line between ln σ and ln (sinh ε) is plotted in Fig. 1 in the lump.
By Fig. 1 it is seen that, the two is the most linear, to the test data under other strain rate
(lnσi,ln(sinhεi)) carry out linear regression fit, the n value under available different temperatures, differently strained speed, knot
Fruit is listed in table 1.
Table 1
Convolution (4), enters the 6016H18 aluminium alloy drawn n value under different temperatures and differently strained speed
Line linearity returns, and result is plotted in Fig. 2.
By Fig. 2 it is seen that, n value is basic and strain rate be changing into linear relationship, and the most different
Deviation is there is between the slope of curve drawn during strain rate group matching.Employing formula (4) represents n value and temperature
Between relation, draw under different temperatures based on formula (4)The relation of curve, takes the meansigma methods of slope
0.008446 value being A, improves the precision of prediction of Browman this structure Optimized model with this.The A that will obtain
Value substitutes into, with the n value in table 1, the B value can tried to achieve in formula (4) under five kinds of temperature and five kinds of strain rates respectively.
Convolution (5), with strain rate as 0.1s-1As a example by, make the relation between B value and temperature T, find B value with
The change of temperature is the most linear, and it is carried out linear regression, and result is as shown in Figure 3.Equally, can obtain
Under other four kinds of strain rates, B value and the linear fit equation of temperature, average to slope and intercept respectively,
The approximate fits relation of B value and temperature can be drawn, be
B=-3.23 × 10-4T+0.22351 (11)
Therefore, the A=0.008446 that try to achieve and formula (11) are substituted into formula (4), available n value and strain rate and
The approximate relation of temperature, is
In determining Browman this structure Optimized model after the relational expression of n, it is thus necessary to determine that strain rate in formula (8)
Relation between Sensitivity Index m and temperature.When strain is 0.25 (uniform plastic deformation section), take 6016H18
Stress-strain tester data under five kinds of temperature of aluminium alloy, five kinds of strain rates, draw the loaarithmic curve under this strainUsing quadratic polynomial that it is fitted, i.e. can get phase by curve being asked for differential
M value at a temperature of Ying, takes temperature and is 450 DEG C, as a example by strain is ess-strain rate value when 0.25, uses two
It is fitted by order polynomial, and fitting result is as shown in Figure 4.
Equally, the Sensitivity Index m at a temperature of other four kinds also can be tried to achieve by said method.Between m and temperature
Relation useable linear equation (8) represents, can determine that m under different temperatures and differently strained speed by linear fit
Linear relation between value and temperature, for improving the precision of prediction of Browman this structure Optimized model, the most right
Slope in linear fit equation and intercept averaged, to obtain the linear fit equation of m value and temperature, i.e.
For
M=0.06414+1.91 × 10-4T (13)
Set up the final step of Browman this structure Optimized model of 6016H18 aluminium alloy for determining strength factor K
Value.N and m obtained by above-mentioned two steps is substituted into equationIn, available
6016H18 aluminium alloy K value under different temperatures and differently strained speed, carries out linear regression analysis to K value,
WithAs a example by, result is plotted in Fig. 5.
As shown in Figure 5,6016H18 aluminium alloy existsTime K value linear with temperature, useable linear
Equation approximate expression relation therebetween, uses identical method to can determine that K value and temperature under other strain rate
Between the linear equation of relation, the slope in linear equation is averaged respectively with intercept, i.e. can get K value with
Relational expression between temperature, i.e. has
K=136.975-0.18787T (14)
By above analytical calculation, coefficient n, m, K in Browman this structure Optimized model are finally given
Expression formula, formula (12), formula (13) and formula (14) substitution formula (1) are obtained 6016H18 aluminium alloy should
Browman this structure Optimized model of stress-strain, i.e. has
It is 0.1s in conjunction with 6016H18 aluminium alloy in strain rate-1Time stress-strain tester data, be respectively adopted
Browman constitutive model and Browman this structure Optimized model are predicted, and contrast with test value, knot
Fruit is as shown in Figure 6.By in Fig. 6 it is seen that, no matter at a temperature of which kind of, Browman this structure Optimized model
Predictive value is all more nearly test value compared with traditional B rowman constitutive model, more can describe 6016H18 exactly
The stress-strain relation of aluminium alloy.Additionally, the predictive value of two kinds of constitutive models is sent out when being 0.25 by contrast strain
Existing, the average relative error of Browman constitutive model is 21.01%, and Browman this structure Optimized model is flat
All relative erroies are 3.18%, and this further illustrates Browman this structure Optimized model and has higher precision of prediction.
Therefore, Browman this structure Optimized model that the present invention obtains can be that research worker is in terms of aluminium alloy capability prediction
The most accurate forecast model of one is provided.
The above, the only detailed description of the invention of the present invention, but protection scope of the present invention is not limited thereto,
Any those familiar with the art, in the technical scope that the invention discloses, can readily occur in various equivalence
Amendment or replacement, these amendment or replace all should contain within protection scope of the present invention.Therefore, the present invention
Protection domain should be as the criterion with scope of the claims.
Claims (5)
1. Browman this structure Optimized model of an aluminium alloy stress-strain relation, it is characterised in that combine double
Bent SIN function and aluminium alloy stress-strain relation, use and be optimized Browman constitutive model with drag
In formula, σ is stress, and ε is strain,For strain rate, K is strength factor, and n is that strain hardening refers to
Number, m is strain-rate-sensitivity exponent;
And determine strain hardening exponent, strain-rate-sensitivity exponent and strength factor.
Browman this structure Optimized model of a kind of aluminium alloy stress-strain relation the most according to claim 1,
It is characterized in that, described strain hardening exponent n determines that process is as follows:
In strain rate one timing, formula (1) is deformed into
σ=K1(sinhε)n (2)
In formula, K1For constant;
Are taken the logarithm in formula (2) both sides simultaneously
Ln σ=lnK1+n ln(sinhε) (3)
Strain hardening exponent n obtains by obtaining the slope of ln σ and ln sinh (ε) relation curve;Therefore n value is passed through
Formula (3) being carried out linear fit obtain, its expression formula is written as
In formula, A is the coefficient that affects of strain rate, and B is that temperature T affects relation to n value;B useable linear relation
Formula describes the relation between temperature
B=a+bT (5)
In formula, a and b is undetermined constant.
Browman this structure Optimized model of a kind of aluminium alloy stress-strain relation the most according to claim 1,
It is characterized in that, described strain-rate-sensitivity exponent m determines that process is as follows:
When strain keeps constant, formula (1) can transform to
In formula, K2For constant, formula (6) is taken the logarithm
From formula (7), strain hardening and strain-rate sensitivity Coefficient m be curve ln σ withSlope, therefore
By rightCarry out linear fit to try to achieve;M variation with temperature relational representation is
M=d1+d2T (8)
In formula, d1、d2It is undetermined constant.
Browman this structure Optimized model of a kind of aluminium alloy stress-strain relation the most according to claim 1,
It is characterized in that, described strength factor K determines that process is as follows:
K value is relevant with deformation temperature, is written as
K=e1+e2T (10)
In formula, e1、e2It is undetermined constant.
5. Browman this structure Optimized model of the aluminium alloy stress-strain relation described in a claim 1 should
With, it is characterised in that combine aluminium alloy stress-strain tester data, use method of least square calculate strength factor,
Strain hardening exponent and strain-rate-sensitivity exponent, so that it is determined that based on Browman this structure Optimized model should
Stress-strain relationship formula, is predicted aluminium alloy capability.
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CN110008620A (en) * | 2019-04-15 | 2019-07-12 | 中国科学院宁波材料技术与工程研究所 | A kind of method of α-Fe strain rate sensitivity coefficient under analysis dynamic load conditions |
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WO2000031139A1 (en) * | 1998-11-25 | 2000-06-02 | University Of Bristol | Peptide inhibitor of browman-birk type |
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CN105181435A (en) * | 2015-10-15 | 2015-12-23 | 中国石油大学(华东) | Method of establishing elastic-plastic mechanical constitutive model made of rock material |
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WO2000031139A1 (en) * | 1998-11-25 | 2000-06-02 | University Of Bristol | Peptide inhibitor of browman-birk type |
WO2013042600A1 (en) * | 2011-09-19 | 2013-03-28 | 日本電気株式会社 | Stress-strain relation simulation method, stress-strain relation simulation system, and stress-strain relation simulation program which use chaboche model |
CN105181435A (en) * | 2015-10-15 | 2015-12-23 | 中国石油大学(华东) | Method of establishing elastic-plastic mechanical constitutive model made of rock material |
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CN110008620A (en) * | 2019-04-15 | 2019-07-12 | 中国科学院宁波材料技术与工程研究所 | A kind of method of α-Fe strain rate sensitivity coefficient under analysis dynamic load conditions |
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