CN105910921B - A method of prediction DZ125 alloy creep curves - Google Patents

A method of prediction DZ125 alloy creep curves Download PDF

Info

Publication number
CN105910921B
CN105910921B CN201610223450.6A CN201610223450A CN105910921B CN 105910921 B CN105910921 B CN 105910921B CN 201610223450 A CN201610223450 A CN 201610223450A CN 105910921 B CN105910921 B CN 105910921B
Authority
CN
China
Prior art keywords
creep
curve
prediction
creep curve
equation
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
Application number
CN201610223450.6A
Other languages
Chinese (zh)
Other versions
CN105910921A (en
Inventor
尚丽娟
鲍识同
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangdong Rongsheng New Materials Technology Co.,Ltd.
Original Assignee
Shenyang University of Technology
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Shenyang University of Technology filed Critical Shenyang University of Technology
Priority to CN201610223450.6A priority Critical patent/CN105910921B/en
Publication of CN105910921A publication Critical patent/CN105910921A/en
Application granted granted Critical
Publication of CN105910921B publication Critical patent/CN105910921B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N3/00Investigating strength properties of solid materials by application of mechanical stress
    • G01N3/28Investigating ductility, e.g. suitability of sheet metal for deep-drawing or spinning
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2203/00Investigating strength properties of solid materials by application of mechanical stress
    • G01N2203/0014Type of force applied
    • G01N2203/0016Tensile or compressive
    • G01N2203/0017Tensile
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2203/00Investigating strength properties of solid materials by application of mechanical stress
    • G01N2203/0058Kind of property studied
    • G01N2203/0069Fatigue, creep, strain-stress relations or elastic constants
    • G01N2203/0071Creep

Landscapes

  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Investigating Strength Of Materials By Application Of Mechanical Stress (AREA)

Abstract

A method of prediction DZ125 alloy creep curves,(1)In predicted temperature TmAnd stressmLower measurement alloy short time tensile creep curve, until creep curve is walked surely substantially;(2)Least square fitting creep data is used by the model, determines parameter betai(i=0,1,2,3)Value;(3)Judge creep curve type:Work as β2< 0 or β3When < 0, creep curve does not have the tertiary creep stage, this is the first type;Work as β2> 0 while β3When > 0, creep curve contains the tertiary creep stage, this is second of type;The present invention can relatively accurately express the creep curve of DZ125 and similar alloy;The dispersibility for fundamentally significantly limiting Prediction Parameters is conducive to improve precision of prediction.In addition, model parameter is few, operating performance is strong;Invention creates a kind of completely new, simple and direct, high-precision creep curve prediction techniques.

Description

A method of prediction DZ125 alloy creep curves
Technical field
The invention belongs to high temperature alloy mechanical property research fields, are related to a kind of new side of nickel-base alloy creep curve prediction Method.
Background technology
DZ125 is one of highest directional solidification nickel-base high-temperature alloy of current performance level, with good medium and high temperature Comprehensive performance and thermal fatigue property are widely used in the key areas such as aero-engine, special to the prediction in such alloy creep service life It is not that the prediction of creep curve has become important topic, however there is no the model of accurate description creep curve at present, therefore accurate Really predict that the creep curve of alloy is extremely difficult.So far, it answers about creep curve prediction technique is most representational Belong to θ and hints obliquely at method.Last century the eighties, Evans R W and Wilshire B etc. is based on time hardening and strain hardening principle carries The θ for having gone out description creep curve hints obliquely at method, and model is:
In formula, ε is strain, and t is creep time,WithRespectively reflection material creep hardening and it is compacted Become softening process, θi(i=1,2,3,4) is undetermined parameter, can be obtained by analyzing measured data.
θ equations can preferably reflect primary creep behavior and second stage, and and creep phase III deviation it is very big.Patent Number CN 102331377 is proposed in the croop property of assessment T-P92 steel:6 groups of creep curves are first tested, and according to θ equation models Go out corresponding θ parameter θsi(i=1,2,3,4) is then fitted multiple spot creep data and determines θiFactor is asked further according to these factors Go out θi(i=1,2,3) value, finally by θi(i=1,2,3) value substitutes into θ equations, finds out θ4.On the one hand this method increases operation Process, meanwhile, the parameter being related to is more, large dispersion.Importantly, due to θ3And θ4It the common description creep phase III, misses Difference is larger, therefore passes through θ3Seek θ4, elementary error can not avoid, meanwhile, this method also has certain limitation.
Maruyama K and Oikawa H et al. improves θ equations, enables θ42, obtain correcting θ equations:
They have carried out creep life prediction with the equation to the steel such as CrMoV and 12Cr (H46), and precision is up to 90%.But thing In reality, general material can only be reflected second stage and the phase III of creep by correcting θ equations, and first stage error compared with Greatly, be especially beyond expression the creep process of not no phase III, therefore limits its use.Nevertheless, this method is still not With degree it is used.
Invention content:
Goal of the invention:
A method of prediction DZ125 alloy creep curves are stretched to the short time through newly-built creep curve model Creep curve analyzes and determines creep curve type, targetedly carries out creep test using specific method on this basis, And creep parameters are determined by corresponding technological means, obtain prediction creep curve equation and prediction creep rate equation, purpose It is to create a kind of completely new, simple and direct, high-precision creep curve prediction and creep rate evaluation method.
Technical solution:
Experiment proves, utilizes model ε=β01ln(t+1)+β2exp(β3T) Ni based alloys can be almost fully described by The overall process of creep, the model have the very high goodness of fit compared with currently used other models.In formula:ε is strain, and t is Creep time, βi(i=0,1,2,3,4) is constant, i.e. parameter.Experience have shown that usually | β2|<<1, and | β3| also very little, therefore β0It is related with initial strain, while playing the role of equilibrium equation, it is little with creep curve form, tendency relationship;β1Ln (t+1) is retouched State creep hardening process;β2exp(β3T) creep softening process is described, and related with creep curve form.Therefore, β1、β2And β3With Creep curve is in close relations, especially β2With β3Size combinations reflect the form and variation tendency of creep curve.
Experiment and analysis shows:Due to | β2| and | β3| equal very little, therefore:1. working as β3When < 0, creep curve does not accelerate Creep stage, creep later stage strain mainly by β1Ln (t+1) determines that creep rate variation tendency is ε '=β1/(t+1);2. when β2< 0, β3When > 0, still without the tertiary creep stage, creep early period, strain mainly by β1Ln (t+1) determines that creep rate is main Depending on β1/ (t+1), creep later stage, strain are ε=β with time relationship1ln(t+1)+β2exp(β3T), creep rate be ε '= β1/(t+1)+β2β3exp(β3T), strain is still mainly by β1Ln (t+1) determines that creep rate equally depends primarily on β1/(t+1); 3. working as β2> 0, β3When > 0, creep curve contains the tertiary creep stage:In creep early period, strain mainly by β1Ln (t+1) decisions, Creep rate depends primarily on β1/(t+1);In the creep later stage, strain mainly by β2exp(β3T) it determines, creep rate mainly takes Certainly in β2β3exp(β3t);In creep mid-term, by β1The creep that ln (t+1) is represented hardens and by β2exp(β3T) creep represented is soft Change tends to balance, and works as β1/(t+1)2≈β2β3 2exp(β3When t), creep rate is minimum.
In terms of prediction, creep curve can be divided into two types, i.e., first type in no tertiary creep stage and Second of type containing the tertiary creep stage.For the creep curve of the first type, due to the creep later stage, strain mainly by β1Ln (t+1) determines that creep rate depends primarily on β1/ (t+1), therefore, after creep curve enters stable region, β1Value Ying Ji This is constant.Estimate once it is determined that under predicted temperature and stress creep curve parameter β1It, can be by creep curve end after value stabilization Thus the parameter value of creep data obtains prediction creep curve equation and predicts creep rate equation as predicted parameter value, from And achievees the purpose that predict creep curve equation and estimate creep rate.
For the creep curve of second of type, parameter value can refer to θ under constant temperature and hint obliquely at method parameter extrapolation formula lg βi =ai+biσ (i=0,1,2,3) is determined.It is to be noted that:The study found that wherein using β1=a1+b1σ formula ratios use lg β1 =a1+b1σ formula are more accurate.
The present invention is based on principles above, first pass through creep curve model ε=β01ln(t+1)+β2exp(β3T) to prediction Short time creep curve at temperature and stress is fitted, and determines model parameter, according to the pass of model parameter and creep curve System judges creep curve type, carries out creep test using corresponding method according still further to creep curve type and creep curve is pre- It surveys.
Steps are as follows:
(1) basis《GB/T2039-2012 metal material simple tension creep test methods》, in predicted temperature TmAnd stress σmLower measurement short time tensile creep curve, until creep curve is walked surely substantially;
(2) with ε=β01ln(t+1)+β2exp(β3T) it is creep curve model, in formula:ε is strain, when t is creep Between, βi(i=0,1,2,3) is constant, i.e. parameter;The above-mentioned creep data of least square fitting is used by the model, is determined Parameter betai(i=0,1,2,3) value;
(3) judge creep curve type:Work as β2< 0 or β3When < 0, creep curve does not have the tertiary creep stage, this is first Type;Work as β2> 0 while β3When > 0, creep curve contains the tertiary creep stage, this is second of type;
(4) prediction of creep curve
1. the prediction of the first type creep curve
Continue in temperature TmAnd stress σmLower measurement tensile creep curve, in the creep stable region of creep curve, from creep song Line end starts to choose three groups or more creep datas by different time, according to creep curve model ε=β01ln(t+1)+β2exp (β3T) the above each group creep data is fitted using least square method respectively, determines corresponding parameter value;If β in each group parameter1 Value fluctuation is larger, also needs to continue creep test, and choose three groups from creep curve tip forward again according to the method described above The above creep data, meanwhile, each group creep data that least square fitting is selected again is used according to creep curve model, really Fixed corresponding parameter value, β of this process until each group parameter1Value is 10-4In accuracy rating it is equal until;
By the parameter value β of one group of creep curve end creep data1i(i=0,1,2,3) it is used as predicted parameter value substitution compacted Varied curve model obtains prediction creep curve equation:ε=β1011ln(t+1)+β12exp(β13t);According to prediction creep curve Equation draws creep curve, which is to predict creep curve;
By predicting that creep curve equation finds out prediction creep rate equation:Wherein ε ' For creep rate, creep rate is estimated according to prediction creep rate equation combination creep time;
2. the prediction of second of type creep curve
In temperature TmUnder, it measures three kinds or more and is more than σmThe creep curve of stress, until breaking sample.It is required that:It is selected Stress is uniformly distributed, and maximum stress cannot be more than σmN times, n=1.5-2, σmBigger, n is smaller;
According to creep curve model ε=β01ln(t+1)+β2exp(β3T) use least square method respectively to above different The creep data of stress is fitted, and determines corresponding parameter value;According to determining parameter value in lg βi(i=0,2,3)-σ and β1Corresponding data point is found in σ coordinate system, and lg β are determined by linear fiti(i=0,2,3)-σ and β1- σ relational expressions, by σmGeneration Enter the relational expression, finds out Tm、σmUnder predicted parameter value β σmi(i=0,1,2,3);The predicted parameter value is substituted into creep curve Model obtains prediction creep curve equation:ε=βσm0σm1ln(t+1)+βσm2exp(βσm3t);According to prediction creep curve equation Creep curve is drawn, which is to predict creep curve;
By predicting that creep curve equation finds out prediction creep rate equation:Wherein ε ' is creep rate, and creep rate is estimated according to prediction creep rate equation combination creep time, according to the minimum creep speed of estimation Rate predicts secondary creep rates.
This method is suitable for the prediction of a variety of Ni based alloys creep curves within the scope of 600-1100 DEG C, 0-1100MPa.
Beneficial effects of the present invention:
(1) the creep curve model structure that the present invention uses is simple, and parameter is few, can relatively accurately express DZ125 and class Like the creep curve of alloy;
(2) by creep curve model ε=β01ln(t+1)+β2exp(β3T) short time creep curve is analyzed, Judge creep curve type, creep curve measurement is targetedly carried out using specific method on this basis, and pass through one Fixed technological means determines prediction creep parameters, obtains prediction creep curve equation and prediction creep rate equation, fundamentally The dispersibility for significantly limiting Prediction Parameters is conducive to improve precision of prediction.In addition, model parameter is few, operating performance is strong;
(3) it is completely new that invention creates one kind, and simple and direct, high-precision creep curve prediction technique provides for related field Valuable reference;
(4) this prediction technique can be used for the prediction of a variety of Ni based alloys creep lines, therefore, the research and development to Ni based high-temperature alloys And product design and use provide effective technical support.
Description of the drawings:
125 alloy 418h and 750h creep matched curves of DZ under 980 DEG C of Fig. 1,90MPa;
The comparison of DZ 125 alloy 3000h prediction creep curves and actual measurement creep curve under 980 DEG C of Fig. 2,90MPa;
The creep matched curve of 125 alloys of DZ under the different stress of 980 DEG C of Fig. 3;
β at 980 DEG C of Fig. 4i(i=0,1,2,3) and stress σ relation curves;
Prediction creep curve and actual test creep curve under 980 DEG C of Fig. 5,160MPa compare.
Specific implementation mode:
A method of prediction DZ125 alloy creep curves are by being stretched to the short time under predicted temperature and stress Creep data analysis judges creep curve type, and corresponding creep test and creep number are taken further according to creep curve type According to processing method, to achieve the purpose that predict long-time creep curve.Steps are as follows:
(1) basis《GB/T2039-2012 metal material simple tension creep test methods》, in predicted temperature TmAnd stress σmThe lower short time tensile creep curve for measuring Specimens, until creep curve is walked surely substantially;
(2) with ε=β01ln(t+1)+β2exp(β3T) it is creep curve model, in formula:ε is strain, when t is creep Between, βi(i=0,1,2,3) is constant, i.e. parameter;The above-mentioned creep data of least square fitting is used by the model, is determined Parameter betai(i=0,1,2,3) value;
(3) judge creep curve type:Work as β2< 0 or β3When < 0, creep curve does not have the tertiary creep stage, this is first Type;Work as β2> 0 while β3When > 0, creep curve contains the tertiary creep stage, this is second of type;
(4) prediction of creep curve
1. the prediction of the first type creep curve
Continue in temperature TmAnd stress σmLower measurement tensile creep curve, in the creep stable region of creep curve, from creep song Line end starts to choose three groups or more creep datas by different time, according to creep curve model ε=β01ln(t+1)+β2exp (β3T) the above each group creep data is fitted using least square method respectively, determines corresponding parameter value;If β in each group parameter1 Value fluctuation is larger, also needs to continue creep test, and choose three groups from creep curve tip forward again according to the method described above The above creep data, meanwhile, each group creep data that least square fitting is selected again is used according to creep curve model, really Fixed corresponding parameter value, β of this process until each group parameter1Value is 10-4In accuracy rating it is equal until;
By the parameter value β of one group of creep curve end creep data1i(i=0,1,2,3) it is used as predicted parameter value substitution compacted Varied curve model obtains prediction creep curve equation:ε=β1011ln(t+1)+β12exp(β13t);According to prediction creep curve Equation draws creep curve, which is to predict creep curve;
By predicting that creep curve equation finds out prediction creep rate equation:Wherein ε ' For creep rate, creep rate is estimated according to prediction creep rate equation combination creep time;
2. the prediction of second of type creep curve
In temperature TmUnder, it measures three kinds or more and is more than σmThe creep curve of stress, until breaking sample.It is required that:It is selected Stress is uniformly distributed, and maximum stress cannot be more than σmN times, n=1.5-2, σmBigger, n is smaller;
According to creep curve model ε=β01ln(t+1)+β2exp(β3T) use least square method respectively to above different The creep data of stress is fitted, and determines corresponding parameter value;According to determining parameter value in lg βi(i=0,2,3)-σ and β1Corresponding data point is found in σ coordinate system, and lg β are determined by linear fiti(i=0,2,3)-σ and β1- σ relational expressions, by σmGeneration Enter the relational expression, finds out Tm、σmUnder predicted parameter value β σmi(i=0,1,2,3);The predicted parameter value is substituted into creep curve Model obtains prediction creep curve equation:ε=βσm0σm1ln(t+1)+βσm2exp(βσm3t);According to prediction creep curve equation Creep curve is drawn, which is to predict creep curve;
By predicting that creep curve equation finds out prediction creep rate equation:Wherein ε ' is creep rate, and creep rate is estimated according to prediction creep rate equation combination creep time, according to the minimum creep speed of estimation Rate predicts secondary creep rates.
This method is suitable for the prediction of a variety of Ni based alloys creep curves within the scope of 600-1100 DEG C, 0-1100MPa.
Application example:
Prediction of the example 1. to 980 DEG C of 125 alloys of DZ, 90MPa creep curves
(1) basis《GB/T2039-2012 metal material simple tension creep test methods》Using single head testing machine, pre- 125 alloy short time tensile creep curves of DZ are measured under 980 DEG C of testing temperature, stress 90MPa, until creep curve is walked surely substantially, Sample is " work " shape plate Specimens, specification:Gauge length is 15mm, and wide, thick size is respectively 4.5mm, 2.5mm, refers to Tian Ning, field Your of element " microscopic structure and creep behaviour of DZ125 alloys "《China YouSe Acta Metallurgica Sinica》2014,24(5):1232-1239.
It was found that tending to walk to creep curve when 418h steady.Pass through creep curve model ε=β01ln(t+1)+β2exp(β3T) above-mentioned 418h creep datas are fitted using least square method, determine parameter value βi(i=0,1,2,3) it is respectively:- 0.0774, shown in 0.1075,0.0774, -10.3724, creep matched curve such as Fig. 1 (a).Sentenced according to creep curve type According to:β3< 0, creep curve do not have the tertiary creep stage, are the first type.
(2) continue to measure tensile creep curve at 980 DEG C, 90MPa to 750h, creep matched curve such as Fig. 1 (b) institutes Show.In the creep stable region of creep curve, from creep curve tip forward choose successively creep time be 750h, 675h, 5 groups of creep datas of 600h, 517h and 475h, according to creep curve model ε=β01ln(t+1)+β2exp(β3T) using most Small square law is fitted the above each group of data respectively, determines that corresponding parametric values are as shown in table 1.As it can be seen that the β of each creep curve1Value is very Stablize, respectively:0.0992,0.0992,0.0993,0.0993,0.0993, and β3Respectively less than 0, further prove creep curve For the first type;By the parameter beta of 750h creep curvesi(i=0,1,2,3) value substitutes into creep curve mould as predicted parameter value Type obtains prediction creep curve equation:ε=- 0.0314+0.0992ln (t+1) -0.0024exp (0.0019t);According to the party Journey draws creep curve, and the strain of prediction creep 3000h is 0.75015604%, compared with actual measurement strain 0.76157%, prediction Precision is illustrated in figure 2 prediction creep curve and surveys the comparison of creep curve up to 98.5%.
(3) according to creep rate equation:Predict creep 3000h creep speed Rate is 3.219 × 10-5%/h, and it is 3.349548 × 10 to survey creep rate-5%/h, error are only 3.8%.
125 alloy creep different time creep curve fit parameter values of DZ under 1 980 DEG C of table, 90MPa
Prediction of the example 2. to 980 DEG C of 125 alloys of DZ, 160MPa creep curves
(1) basis《GB/T2039-2012 metal material simple tension creep test methods》Using single head testing machine, and with 1 identical sample specification of example measures 125 alloy tensile creep curves of DZ at 980 DEG C of predicted temperature, stress 160MPa, sees Discovery is examined, enters stable state to creep when 260h.Pass through creep curve model ε=β01ln(t+1)+β2exp(β3T) it uses Least square method is fitted the creep data of above-mentioned 260h, determines parameter betai(i=0,1,2,3) value is:0.0873、 0.5500,0.3795,0.0042, according to creep curve type criterion:β2> 0 while β3> 0, creep curve contains tertiary creep Stage is second of type;
(2) at 980 DEG C, 180MPa, 200MPa, 220MPa stress is selected to carry out creep curve measurement, until breaking sample Until product;
(3) according to creep curve model ε=β01ln(t+1)+β2exp(β3T) use least square method respectively to 980 DEG C, tri- groups of creep datas of 180MPa, 200MPa, 220MPa are fitted, and determine that corresponding parameter value is as shown in table 2, creep Matched curve is as shown in Figure 3;
(4) according to the parameter value in table 2, in lg βi(i=0,2,3)-σ and β1Corresponding data point is found in σ coordinate system, is led to It crosses linear fit and obtains β at 980 DEG Ci(i=0,1,2,3) is with stress σ relation curves as shown in figure 4, thereby determining that lg βi(i=0, 2,3)-σ and β1- σ relational expressions are as follows:
lgβ0=-4.72844+0.0175 σ degrees of fitting:98.47%
β1=-0.5990+0.00566 σ degrees of fitting:99.89%
lgβ2=-2.82386-0.00269 σ degrees of fitting:99.31%
lgβ3=-3.46545+0.1252 σ degrees of fitting:99.12%
By σmAbove-mentioned relation formula is substituted into, 980 DEG C, the predicted parameter value β under 160MPa are found outi(i=0,1,2,3) it is respectively: 0.00400,0.30660,0.000556852,0.034494512, it is substituted into creep curve model and obtains prediction creep curve Equation:
ε=0.3066ln (1+t)+0.000556852exp (0.01464512t)+0.004;
(5) prediction creep curve is drawn according to prediction creep curve equation, with actual test creep curve comparison such as Fig. 5 It is shown.It can be seen that practical creep life is 711h, and predict that the same strain time is 692h, precision of prediction is up to 97%.
According to prediction creep rate equationPredict secondary creep rates For 0.003687%/h, compared with surveying creep rate 0.003915%/h, error is only 5.8%.
The different creep under variable stress curve fitting parameter values of 2 980 DEG C of table

Claims (2)

1. a kind of method of prediction DZ125 alloy creep curves, it is characterised in that:This approach includes the following steps:
(1) basis《GB/T2039-2012 metal material simple tension creep test methods》, in predicted temperature TmAnd stress σmUnder Alloy short time tensile creep curve is measured, until creep curve is walked surely substantially;
(2) with ε=β01ln(t+1)+β2exp(β3T) it is creep curve model, in formula:ε is strain, and t is creep time, βi(i =0,1,2,3) it is constant, i.e. parameter;Least square fitting creep data is used by the model, determines parameter betai(i=0, 1,2,3) value;
(3) judge creep curve type:Work as β2< 0 or β3When < 0, creep curve does not have the tertiary creep stage, this is the first type Type;Work as β2> 0 while β3When > 0, creep curve contains the tertiary creep stage, this is second of type;
(4) prediction of creep curve
1. the prediction of the first type creep curve
Continue in temperature TmAnd stress σmLower measurement tensile creep curve, in the creep stable region of creep curve, from creep curve end End starts to choose three groups or more creep datas by different time, according to creep curve model ε=β01ln(t+1)+β2exp(β3T) the above each group creep data is fitted using least square method respectively, determines corresponding parameter value;If β in each group parameter1Value Fluctuate larger, also need to continue creep test, and according to the method described above again from creep curve tip forward choose three groups with Upper creep data, meanwhile, each group creep data that least square fitting is selected again is used according to creep curve model, is determined Corresponding parameter value, β of this process until each group parameter1Value is 10-4In accuracy rating it is equal until;
By the parameter value β of one group of creep curve end creep data1i(i=0,1,2,3) predicted parameter value is used as to substitute into creep song Line model obtains prediction creep curve equation:ε=β1011ln(t+1)+β12exp(β13t);According to prediction creep curve equation Creep curve is drawn, which is to predict creep curve;
By predicting that creep curve equation finds out prediction creep rate equation:Wherein ε ' is compacted Variable Rate estimates creep rate according to prediction creep rate equation combination creep time;
2. the prediction of second of type creep curve
In temperature TmUnder, it measures three kinds or more and is more than σmThe creep curve of stress, until breaking sample.It is required that:Selected stress It is uniformly distributed, and maximum stress cannot be more than σmN times, n=1.5-2, σmBigger, n is smaller;
According to creep curve model ε=β01ln(t+1)+β2exp(β3T) use least square method respectively to the above different stress Creep data be fitted, determine corresponding parameter value;According to determining parameter value in lg βi(i=0,2,3)-σ and β1- σ is sat Corresponding data point is found in mark system, lg β are determined by linear fiti(i=0,2,3)-σ and β1- σ relational expressions, by σmSubstitute into the pass It is formula, finds out Tm、σmUnder predicted parameter value β σmi(i=0,1,2,3);Predicted parameter value substitution creep curve model is obtained Predict creep curve equation:ε=βσm0σm1ln(t+1)+βσm2exp(βσm3t);Creep is drawn according to prediction creep curve equation Curve, the curve are to predict creep curve;
By predicting that creep curve equation finds out prediction creep rate equation:Wherein ε ' is Creep rate estimates creep rate according to prediction creep rate equation combination creep time, pre- according to the minimum creep rate of estimation Survey secondary creep rates.
2. a kind of method of prediction DZ125 alloy creep curves according to claim 1, it is characterised in that:This method is suitable It shares in the prediction of DZ125 alloys creep curve within the scope of 600-1100 DEG C, 0-1100MPa.
CN201610223450.6A 2016-04-11 2016-04-11 A method of prediction DZ125 alloy creep curves Active CN105910921B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610223450.6A CN105910921B (en) 2016-04-11 2016-04-11 A method of prediction DZ125 alloy creep curves

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610223450.6A CN105910921B (en) 2016-04-11 2016-04-11 A method of prediction DZ125 alloy creep curves

Publications (2)

Publication Number Publication Date
CN105910921A CN105910921A (en) 2016-08-31
CN105910921B true CN105910921B (en) 2018-08-10

Family

ID=56745836

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610223450.6A Active CN105910921B (en) 2016-04-11 2016-04-11 A method of prediction DZ125 alloy creep curves

Country Status (1)

Country Link
CN (1) CN105910921B (en)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108256179B (en) * 2017-12-29 2021-06-15 沈阳工业大学 Method for predicting material creep curve
CN108931448B (en) * 2018-05-07 2021-08-10 华南理工大学 Prediction method for thermodynamic response and fatigue-creep damage of high-chromium steel material
CN110940572A (en) * 2019-12-11 2020-03-31 北京科技大学 Creep life prediction method for high Cr ferrite heat-resistant steel

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
SU1698688A1 (en) * 1986-07-02 1991-12-15 Сибирский физико-технический институт им.В.Д.Кузнецова при Томском государственном университете им.В.В.Куйбышева Method of determining temperature dependence of yield strength of alloys
CN1409099A (en) * 2001-09-28 2003-04-09 三菱重工业株式会社 High precision method and device for evaluating creeping damage
CN101710053A (en) * 2009-11-06 2010-05-19 上海师范大学 Forecasting method of creep life of high-temperature material
CN101718653A (en) * 2009-12-21 2010-06-02 中国航空工业集团公司北京航空材料研究院 Combined high-temperature and durable creeping clamp
CN102331377A (en) * 2011-06-10 2012-01-25 东方电气集团东方锅炉股份有限公司 Method for evaluating creep performance of T/P92 steel
CN103105335A (en) * 2012-12-07 2013-05-15 无锡透平叶片有限公司 Method for predicting high-temperature creep property of heat resistant steel
EP2713160A2 (en) * 2012-10-01 2014-04-02 Hitachi Ltd. Method and system for evaluating creep damage of high temperature component
CN105004617A (en) * 2015-07-20 2015-10-28 沈阳工业大学 Method for describing creep curve of metal material

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP5900888B2 (en) * 2012-06-21 2016-04-06 三菱日立パワーシステムズ株式会社 Operating temperature estimation method and life evaluation method of Ni-based alloy

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
SU1698688A1 (en) * 1986-07-02 1991-12-15 Сибирский физико-технический институт им.В.Д.Кузнецова при Томском государственном университете им.В.В.Куйбышева Method of determining temperature dependence of yield strength of alloys
CN1409099A (en) * 2001-09-28 2003-04-09 三菱重工业株式会社 High precision method and device for evaluating creeping damage
CN101710053A (en) * 2009-11-06 2010-05-19 上海师范大学 Forecasting method of creep life of high-temperature material
CN101718653A (en) * 2009-12-21 2010-06-02 中国航空工业集团公司北京航空材料研究院 Combined high-temperature and durable creeping clamp
CN102331377A (en) * 2011-06-10 2012-01-25 东方电气集团东方锅炉股份有限公司 Method for evaluating creep performance of T/P92 steel
EP2713160A2 (en) * 2012-10-01 2014-04-02 Hitachi Ltd. Method and system for evaluating creep damage of high temperature component
CN103105335A (en) * 2012-12-07 2013-05-15 无锡透平叶片有限公司 Method for predicting high-temperature creep property of heat resistant steel
CN105004617A (en) * 2015-07-20 2015-10-28 沈阳工业大学 Method for describing creep curve of metal material

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
DZ125 定向凝固合金疲劳-蠕变性能与寿命预测研究;张国栋 等;《失效分析与预防》;20080229;第3卷(第1期);第48-53页 *
一种镍基单晶和定向结晶合金的疲劳寿命模型;石多奇 等;《航空动力学报》;20100831;第25卷(第8期);第1871-1875页 *
用修正的θ函数预测单晶镍基高温合金的蠕变寿命;胡南昌 等;《钢铁研究学报》;20070630;第19卷(第6期);第82-86页 *
镍基单晶合金高温蠕变的θ映射模型;石多奇 等;《航空发动机》;20080930;第34卷(第3期);第5、27-30页 *

Also Published As

Publication number Publication date
CN105910921A (en) 2016-08-31

Similar Documents

Publication Publication Date Title
Wilson Combined mode fracture mechanics
CN105784508B (en) A method of characterization monocrystalline Ni based alloy croop properties
CN105910921B (en) A method of prediction DZ125 alloy creep curves
Christensen et al. A theory of crack growth in viscoelastic materials
CN112632724A (en) Test design and structured data acquisition method for metal additive manufacturing process system
CN104655505B (en) Instrumented-ball-pressing-technology-based residual stress detection method
CN106844901B (en) Structural part residual strength evaluation method based on multi-factor fusion correction
Lugo et al. A mechanics based study of crack closure measurement techniques under constant amplitude loading
CN109490080A (en) A method of prediction high-strength steel fatigue crack growth can
CN110006747A (en) A kind of titanium alloy fatigue crack growth rate prediction technique
Tan P–S–N curve fitting method based on sample aggregation principle
CN109870258B (en) Instrumented spherical indentation detection method for plane random residual stress
Dong et al. Marker load-aided bidirectional fatigue crack growth rate measurement via a semi-elliptical surface crack
CN110160895A (en) Plate surface crack growth test method based on mark load
Zhang et al. New formula relating the yield stress-strain with the strength coefficient and the strain-hardening exponent
JP2018173310A (en) Measurement accuracy evaluation method, elastic modulus measurement method, program, and scanning type probe microscope system
CN110501127A (en) A kind of uniform beam damnification recognition method based on faulted condition inclination angle slope
Kondryakov et al. Peculiarities of the crack initiation and propagation in different specimen types
CN105675421A (en) GH4145 bolt Brinell hardness value determination method and apparatus
CN109187189B (en) Method for determining bending creep small deformation critical displacement of small sample of clamped straight rod
Matache et al. Determination of a methodology for formulating constituent models of high entropy alloys
CN105488336A (en) Method for measuring hardness nonuniformity of 9Cr ferrite heat-resistant steel
Wang Comparison of three methods for determining Vickers hardness by instrumented indentation testing
GAO et al. Nature frequency tracking system for the electromagnetic resonance fatigue crack propagation test
Ingram et al. Residual strength analysis of skin splices with multiple site damage

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
TR01 Transfer of patent right

Effective date of registration: 20240604

Address after: 512199, No. 22 Dongshao Avenue, Qujiang District, Shaoguan City, Guangdong Province, China. Building 2 of Shaoguan Hydraulic Equipment Industrial Park (South China Equipment Park)

Patentee after: Guangdong Rongsheng New Materials Technology Co.,Ltd.

Country or region after: China

Address before: 110870 No. 111 Shenyang West Road, Shenyang economic and Technological Development Zone, Liaoning

Patentee before: SHENYANG University OF TECHNOLOGY

Country or region before: China