CN105158080A - Accelerated testing method for prediction of high temperature material creep life - Google Patents
Accelerated testing method for prediction of high temperature material creep life Download PDFInfo
- Publication number
- CN105158080A CN105158080A CN201510239105.7A CN201510239105A CN105158080A CN 105158080 A CN105158080 A CN 105158080A CN 201510239105 A CN201510239105 A CN 201510239105A CN 105158080 A CN105158080 A CN 105158080A
- Authority
- CN
- China
- Prior art keywords
- creep
- temperature
- stress
- curve
- under
- 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.)
- Granted
Links
Abstract
The invention provides an accelerated testing method for prediction of a high temperature material creep life. The accelerated testing method can be operated simply. Based on known temperature T and stress sigma in life prediction, only one creep sample is accelerated in an inconspicuously changed parameter scope of a creep damage mechanism, and through creep deformation data in short time, creep rupture time tr at the prediction temperature T under stress sigma is predicted. The accelerated testing method is very suitable for prediction of a residual creep life of a part in service at a high temperature under high pressure, greatly saves a sample, and has prediction accuracy higher than that of the existing lasting strength-based life prediction method.
Description
Technical field
The present invention relates to a kind of residue appraisal procedure creep life of high-temperature high-pressure apparatus.
Background technology
Creep is one slowly plastic yield phenomenon, is also one of topmost failure mode of power station high-temperature metal parts.No matter grasp information creep life of metal material under difference is on active service parameter (temperature and stress), be the design to high temperature parts, or the residual life evaluation after being on active service, and all has important value.The creep and stress rupture test carried out under actual military service working condition obtains the most reliable method creep life, but because many parts have very long mission life, reach several ten thousand even more than tens0000 hours, therefore carry out again designing after obtaining such test figure or life-span management is unpractical.In engineering normal adopt testing laboratory carry out accelerated test extrapolation method obtain actual service temperature and stress under life-span.
The ultimate principle of accelerated test extrapolation method carries out creep and stress rupture test under higher than the steady temperature of design or service demand or permanent load, the data of one group of primary stress and rupture time are obtained according to test, curve is drawn in stress-time coordinate system, then according to certain Extrapolation method, the corresponding curve of extension.Up to now, according to different hypothesis and theory, multiple Extrapolation method has been had to be carried out, such as, isothermal straight-line extrapolation method, L-M method, M-H method, K-D method.Wherein, be especially most widely used at engineering circles with isothermal straight-line extrapolation method and L-M method, and be put into China power industry standard DL/T940 and DL/T654.
There is the problem of following two aspects in existing accelerated test Extrapolation method: (1) they be all Extrapolation method based on creep rupture strength, and creep rupture strength is very large by the impact of temperature and load.Once the creep mechanism of material or creep rupture pattern change, when using the stress rupture Data Extrapolation of heavily stressed/high-temperature region to low stress/low-temperature space, just easily causing too optimistic result, making predicted value far above parts actual lives.(2) need to expend more sample.The accuracy of Extrapolation method is larger by the impact of data point number.In general, data point wants abundant and rationally distributed, guarantee fiduciary level, but this needs to expend more sample, has certain limitation when practical application.The high-temperature component of some keys, when carrying out residual life evaluation, considers the cost of repairing, and power plant does not generally allow to carry out large-scale destructive sampling.
Summary of the invention
The object of this invention is to provide a kind of easy and simple to handle method that the residue of high-temperature high-pressure apparatus is assessed creep life.
In order to achieve the above object, technical scheme of the present invention there is provided a kind of accelerated test predicting high-temperature material creep life, it is characterized in that, comprises the following steps:
Step 1, under temperature T and stress σ, the regulation according to creep test specification carries out creep test to creep sample;
Step 2, the creep recording curve of observation creep sample under temperature T and stress σ, if judge, creep enters subordinate phase, i.e. steady-state process, and raised temperature is to T at once
1or/and stress is to σ
1carrying out accelerated test, or/and the increasing degree of stress should not be too high, there is large change to prevent the creep impairment of creep sample mechanism in temperature;
Step 3, observation creep sample are at temperature T
1with stress σ
1under creep recording curve, if judge, creep enters the phase III steadily, stop test;
Step 4, data analysis, comprising:
Step 4.1, being converted into true strain ε by testing the engineering strain that obtains, then differentiate being carried out to the time and obtaining true strain speed
Step 4.2, make true strain rate-time curve, namely
curve, meanwhile, makes true strain speed natural logarithm-time curve, namely
curve;
Step 4.3,
on curve, write down the speed of steady state under temperature T and stress σ
with t working time
0, and
curve and
curve identifies temperature T respectively
1with stress σ
1under accelerating sections AB, the position of A point should meet temperature T
1with stress σ
1the position at minimum creep rate place under condition;
Step 5,
on curve, linear fit is carried out to AB segment data, write down slope Ω;
Creep fracture time t under step 6, predicted temperature T and stress σ
r,
The present invention is a kind of accelerated test based on the deformation of creep.Very simple in operation, as long as provide temperature T and the stress σ at life prediction place in advance, only need a creep sample, in the parameter area of not obvious change creep impairment mechanism, it is accelerated, by deformation of creep data in short-term, the creep fracture time t under predicted temperature T and stress σ
r.
The present invention is highly suitable for the prediction in-service High Temperature High Pressure parts being remained to creep life, has not only greatly saved sample, and has improved a lot than the existing life-span prediction method based on creep rupture strength in prediction accuracy.
Accompanying drawing explanation
Fig. 1 (a) to Fig. 1 (c) tertiary creep testing program conditional curve figure.
Embodiment
For making the present invention become apparent, hereby with preferred embodiment, and accompanying drawing is coordinated to be described in detail below.
The invention provides a kind of accelerated test predicting high-temperature material creep life, the steps include:
Step 1, under temperature T and stress σ, according to creep test specification regulation creep test is carried out to creep sample, creep test specification observes GB/T2039;
Step 2, the creep recording curve of observation creep sample under temperature T and stress σ, if judge, creep enters subordinate phase, i.e. steady-state process, and raised temperature is to T at once
1or/and stress is to σ
1carry out accelerated test, as shown in Figure 1a, or/and the increasing degree of stress should not be too high, there is large change to prevent the creep impairment of creep sample mechanism in temperature;
Step 3, observation creep sample are at temperature T
1with stress σ
1under creep recording curve, if judge, creep enters the phase III steadily, stop test;
Step 4, data analysis, comprising:
Step 4.1, being converted into true strain ε by testing the engineering strain that obtains, then differentiate being carried out to the time and obtaining true strain speed
Step 4.2, make true strain rate-time curve, namely
curve, meanwhile, makes true strain speed natural logarithm-time curve, namely
curve, respectively as shown in figs. lb and lc;
Step 4.3,
on curve, write down the speed of steady state under temperature T and stress σ
with t working time
0, and
curve and
curve identifies temperature T respectively
1with stress σ
1under accelerating sections AB, the position of A point should meet temperature T
1with stress σ
1the position at minimum creep rate place under condition;
Step 5,
on curve, linear fit is carried out to AB segment data, write down slope Ω;
Creep fracture time t under step 6, predicted temperature T and stress σ
r,
Embodiment 1
Japan NIMS carried out the creep test under different temperatures and stress to 9Cr-1Mo-V-Nb steel plate, and externally disclose all data, comprise creep fracture time, secondary creep rates, strain-time curve, strain rate-time curve, strain rate-strain curve.Table 1 is the creep rupture data of 9Cr-1Mo-V-Nb sheet material (MgC).Assuming that the creep fracture time of minimum stress under not knowing now each temperature, and utilize the data message of heavily stressed/high-temperature region, adopt existing Extrapolation method and this method to predict it.What table 2 obtained for each method predicts the outcome.Can find out, compare existing method, predicting the outcome of this method is more close with actual result.
The creep rupture data of the 9Cr-1Mo-Nb-V sheet material (MgC) that the Japanese NIMS of table 1 announces
Predicting the outcome and the contrast of actual result of each method of table 2.
*: the value of Ω parameter is under (T, σ+20) condition
the linear fit of curve.
Embodiment 2
Dissection test work carried out by the P91 bend pipe that Shanghai Power Equipment Research Institute was on active service in foot couple power plant in 2013.Got 35 lasting samples to bend pipe at that time, under different temperatures and load, carried out stress rupture test, result is as shown in table 3.Utilize these data, adopt L-M method and M-H method to predict the stress rupture time under 540 DEG C and 105MPa respectively, result is respectively 5656.4h and 4535.4h.Mid-term in 2014 has got 3 lasting samples and 4 creep samples to bend pipe again.3 lasting samples are carried out to the duration running under 540 DEG C and 105MPa, to obtain actual rupture time.Up to now, an existing sample fracture, the time is 4041.1h, and all the other two lasting samples synchronous operation 2995.5h.While carrying out stress rupture test, 4 creep samples then adopt accelerated test of the present invention to predict the rupture time under 540 DEG C and 105MPa.
The initial parameter of 4 creep samples is 540 DEG C and 105MPa.In time judging that creep has started to enter steady-state process, improve operational factor.Wherein, sample 1 increases temperature 10 DEG C, and sample 2 increases stress 10MPa, and sample 3 increases temperature 20 DEG C, and sample 4 increases stress 20MPa.After the phase III concave curve of certain length to appear, stop test.Fig. 1 c tests the engineering strain-time curve obtained, and the time finally calculated is as shown in table 4.Table 5 predicting the outcome and comparison of test results for L-M method, M-H method and this method.
Certain power plant of table 3. was on active service the enduring quality data of P91 bend pipe
Table 4. accelerated test parameter of the present invention and predicting the outcome
The various method of table 5. to be on active service P91 bend pipe life prediction Comparative result (T=540 DEG C, σ=105MPa) to certain power plant
Claims (1)
1. predict the accelerated test of high-temperature material creep life, it is characterized in that, comprise the following steps:
Step 1, under temperature T and stress σ, according to creep test specification regulation creep test is carried out to creep sample;
Step 2, the creep recording curve of observation creep sample under temperature T and stress σ, if judge, creep enters subordinate phase, i.e. steady-state process, and raised temperature is to T at once
1or/and stress is to σ
1carrying out accelerated test, or/and the increasing degree of stress should not be too high, there is large change to prevent the creep impairment of creep sample mechanism in temperature;
Step 3, observation creep sample are at temperature T
1with stress σ
1under creep recording curve, if judge, creep enters the phase III steadily, stop test;
Step 4, data analysis, comprising:
Step 4.1, being converted into true strain ε by testing the engineering strain that obtains, then differentiate being carried out to the time and obtaining true strain speed
Step 4.2, make true strain rate-time curve, namely
curve, meanwhile, makes true strain speed natural logarithm-time curve, namely
curve;
Step 4.3,
on curve, write down the speed of steady state under temperature T and stress σ
with t working time
0, and
curve and
curve identifies temperature T respectively
1with stress σ
1under accelerating sections AB, the position of A point should meet temperature T
1with stress σ
1the position at minimum creep rate place under condition;
Step 5,
on curve, linear fit is carried out to AB segment data, write down slope Ω;
Creep fracture time t under step 6, predicted temperature T and stress σ
r,
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510239105.7A CN105158080B (en) | 2015-05-12 | A kind of accelerated test for predicting high-temperature material creep life |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510239105.7A CN105158080B (en) | 2015-05-12 | A kind of accelerated test for predicting high-temperature material creep life |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105158080A true CN105158080A (en) | 2015-12-16 |
| CN105158080B CN105158080B (en) | 2018-06-01 |
Family
ID=
Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105806715A (en) * | 2016-03-10 | 2016-07-27 | 大连理工大学 | High-temperature creep deformation prediction method |
| CN106568655A (en) * | 2016-10-28 | 2017-04-19 | 沈阳工业大学 | Method used for predicting creep life of heat-resisting alloy |
| CN108458942A (en) * | 2018-02-09 | 2018-08-28 | 哈尔滨工业大学 | A kind of spacecraft polymer matrix carbon fiber composite Space Thermal cyclical acceleration test method |
| CN110245391A (en) * | 2019-05-28 | 2019-09-17 | 上海发电设备成套设计研究院有限责任公司 | A method of based on artificial neural network with the Hardness Prediction service life |
| CN110411864A (en) * | 2018-04-26 | 2019-11-05 | 天津大学 | High-temperature creep life prediction analysis calculation method based on creep activation energy |
| CN110688788A (en) * | 2019-08-28 | 2020-01-14 | 南京航空航天大学 | High-temperature material creep deformation and service life prediction method and model |
| CN110705019A (en) * | 2019-08-28 | 2020-01-17 | 南京航空航天大学 | High-temperature creep damage equivalent acceleration method |
| CN111855434A (en) * | 2020-08-06 | 2020-10-30 | 重庆大学 | High-temperature material yield point testing method |
| CN112163359A (en) * | 2020-10-09 | 2021-01-01 | 南京航空航天大学 | Inversion optimization algorithm-based creep large-deformation endurance life prediction method |
| CN112525907A (en) * | 2020-11-23 | 2021-03-19 | 华能国际电力股份有限公司 | Method for evaluating residual creep life of high-temperature static component material of gas turbine in service |
| CN113125275A (en) * | 2021-04-06 | 2021-07-16 | 西北工业大学 | Method for determining creep model parameters and predicting creep life of nickel-based single crystal superalloy |
| CN113252465A (en) * | 2021-05-20 | 2021-08-13 | 天津理工大学 | M-H method-based heat-resistant steel creep life prediction method |
| CN114088539A (en) * | 2021-08-06 | 2022-02-25 | 上海发电设备成套设计研究院有限责任公司 | Method, device, equipment and medium for determining steady-state creep rate of metal |
| CN114088517A (en) * | 2021-09-24 | 2022-02-25 | 核工业理化工程研究院 | Method for evaluating acceleration condition of material creep life test |
| CN113125275B (en) * | 2021-04-06 | 2024-05-03 | 西北工业大学 | Parameter determination and creep life prediction method for nickel-based single crystal superalloy creep model |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS61172059A (en) * | 1985-01-28 | 1986-08-02 | Mitsubishi Heavy Ind Ltd | Method for nondestructive forecasting of life of turbine |
| JPH07151662A (en) * | 1993-11-26 | 1995-06-16 | Ishikawajima Harima Heavy Ind Co Ltd | Creep life evaluation through temperature acceleration test |
| CN1477383A (en) * | 2003-06-23 | 2004-02-25 | 国电热工研究院 | Test method of high-temp, component creep life |
| CN101038248A (en) * | 2007-04-25 | 2007-09-19 | 上海发电设备成套设计研究院 | Predicting method for steam turbine high temperature component creep life |
| CN101308127A (en) * | 2008-07-08 | 2008-11-19 | 华东理工大学 | Material high-temperature creep life-span accelerated test method |
| JP2012202908A (en) * | 2011-03-28 | 2012-10-22 | Hiroyuki Sato | Prediction method of creep curve and creep lifetime |
| CN103323343A (en) * | 2013-06-17 | 2013-09-25 | 四川大学 | Judgment method and prediction method for creep failure life of polymer material |
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS61172059A (en) * | 1985-01-28 | 1986-08-02 | Mitsubishi Heavy Ind Ltd | Method for nondestructive forecasting of life of turbine |
| JPH07151662A (en) * | 1993-11-26 | 1995-06-16 | Ishikawajima Harima Heavy Ind Co Ltd | Creep life evaluation through temperature acceleration test |
| CN1477383A (en) * | 2003-06-23 | 2004-02-25 | 国电热工研究院 | Test method of high-temp, component creep life |
| CN101038248A (en) * | 2007-04-25 | 2007-09-19 | 上海发电设备成套设计研究院 | Predicting method for steam turbine high temperature component creep life |
| CN101308127A (en) * | 2008-07-08 | 2008-11-19 | 华东理工大学 | Material high-temperature creep life-span accelerated test method |
| JP2012202908A (en) * | 2011-03-28 | 2012-10-22 | Hiroyuki Sato | Prediction method of creep curve and creep lifetime |
| CN103323343A (en) * | 2013-06-17 | 2013-09-25 | 四川大学 | Judgment method and prediction method for creep failure life of polymer material |
Non-Patent Citations (1)
| Title |
|---|
| 孙海生: "《1.25Cr0.5MoSi材料蠕变寿命评估》", 《中国优秀硕士学位论文全文数据库 工程科技I辑》 * |
Cited By (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105806715B (en) * | 2016-03-10 | 2018-07-13 | 大连理工大学 | A kind of high-temerature creep Deformation Prediction method |
| CN105806715A (en) * | 2016-03-10 | 2016-07-27 | 大连理工大学 | High-temperature creep deformation prediction method |
| CN106568655A (en) * | 2016-10-28 | 2017-04-19 | 沈阳工业大学 | Method used for predicting creep life of heat-resisting alloy |
| CN106568655B (en) * | 2016-10-28 | 2019-04-12 | 沈阳工业大学 | A method of prediction heat-resisting alloy creep life |
| CN108458942A (en) * | 2018-02-09 | 2018-08-28 | 哈尔滨工业大学 | A kind of spacecraft polymer matrix carbon fiber composite Space Thermal cyclical acceleration test method |
| CN108458942B (en) * | 2018-02-09 | 2020-07-07 | 哈尔滨工业大学 | Space thermal cycle acceleration test method for polymer-based carbon fiber composite material for spacecraft |
| CN110411864A (en) * | 2018-04-26 | 2019-11-05 | 天津大学 | High-temperature creep life prediction analysis calculation method based on creep activation energy |
| CN110245391A (en) * | 2019-05-28 | 2019-09-17 | 上海发电设备成套设计研究院有限责任公司 | A method of based on artificial neural network with the Hardness Prediction service life |
| CN110688788B (en) * | 2019-08-28 | 2021-06-22 | 南京航空航天大学 | High-temperature material creep deformation and service life prediction method |
| CN110688788A (en) * | 2019-08-28 | 2020-01-14 | 南京航空航天大学 | High-temperature material creep deformation and service life prediction method and model |
| CN110705019A (en) * | 2019-08-28 | 2020-01-17 | 南京航空航天大学 | High-temperature creep damage equivalent acceleration method |
| CN111855434A (en) * | 2020-08-06 | 2020-10-30 | 重庆大学 | High-temperature material yield point testing method |
| CN112163359A (en) * | 2020-10-09 | 2021-01-01 | 南京航空航天大学 | Inversion optimization algorithm-based creep large-deformation endurance life prediction method |
| CN112525907A (en) * | 2020-11-23 | 2021-03-19 | 华能国际电力股份有限公司 | Method for evaluating residual creep life of high-temperature static component material of gas turbine in service |
| CN112525907B (en) * | 2020-11-23 | 2022-11-08 | 华能国际电力股份有限公司 | Method for evaluating residual creep life of high-temperature static component material of gas turbine in service |
| CN113125275A (en) * | 2021-04-06 | 2021-07-16 | 西北工业大学 | Method for determining creep model parameters and predicting creep life of nickel-based single crystal superalloy |
| CN113125275B (en) * | 2021-04-06 | 2024-05-03 | 西北工业大学 | Parameter determination and creep life prediction method for nickel-based single crystal superalloy creep model |
| CN113252465A (en) * | 2021-05-20 | 2021-08-13 | 天津理工大学 | M-H method-based heat-resistant steel creep life prediction method |
| CN113252465B (en) * | 2021-05-20 | 2022-07-01 | 天津理工大学 | M-H method-based creep life prediction method for heat-resistant steel |
| CN114088539A (en) * | 2021-08-06 | 2022-02-25 | 上海发电设备成套设计研究院有限责任公司 | Method, device, equipment and medium for determining steady-state creep rate of metal |
| CN114088517A (en) * | 2021-09-24 | 2022-02-25 | 核工业理化工程研究院 | Method for evaluating acceleration condition of material creep life test |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102331377B (en) | Method for evaluating creep performance of T/P92 steel | |
| CN101308127B (en) | Material high-temperature creep life predication method | |
| CN109142083A (en) | Creep impairment calculation method and model under a kind of variable load history | |
| CN108931448A (en) | A kind of prediction technique of high chrome Material Thermodynamics response and spleen tissue extracts damage | |
| CN105781632A (en) | Monitoring for total calendar life of turbine part under low-cycle fatigue and creep effect | |
| CN102539325A (en) | Method for monitoring structural damage of coke tower based on strain monitoring | |
| CN110411864B (en) | High-temperature creep life prediction analysis calculation method based on creep activation energy | |
| CN108009311B (en) | Creep constitutive model parameter identification method for creep test | |
| CN115795916B (en) | Rock brittleness evaluation method and device | |
| CN104568602A (en) | Method for predicating lasting and instantaneous limit mechanical performances of polymer | |
| Zhu et al. | Bending ratcheting tests of Z2CND18. 12 stainless steel | |
| CN105158080A (en) | Accelerated testing method for prediction of high temperature material creep life | |
| CN102023636B (en) | Accelerated life testing method of machine tool numerical control system | |
| CN109187543A (en) | A kind of in-service ethylene cracking tube embrittlement classification lifetime estimation method | |
| CN105158080B (en) | A kind of accelerated test for predicting high-temperature material creep life | |
| JP2019035597A (en) | Residual lifetime evaluation method | |
| KR101110841B1 (en) | System for welding margin sub-assembly part and method of thereof | |
| KR20110029395A (en) | Method and system for predicting life of steam turbine | |
| CN109359330A (en) | A kind of triphasic method of the description high-temperature material deformation of creep and model | |
| CN102778386A (en) | Method for forecasting engineering service life of glass fiber reinforced plastic sleeve | |
| CN108520167B (en) | Method and system for rapidly evaluating high-temperature life of G102 steel heating surface | |
| CN110940572A (en) | Creep life prediction method for high Cr ferrite heat-resistant steel | |
| KR102489743B1 (en) | Creep life prediction system of materials and method of thereof | |
| CN110472275A (en) | Data processing and lifetime estimation method under flywheel product difference operating condition | |
| Li et al. | A Bibliometric Analysis of the Reliability Assessment Technology Based on Accelerated Degradation |
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 | ||
| CP01 | Change in the name or title of a patent holder |
Address after: 200240 Shanghai city Minhang District Jianchuan Road No. 1115 Patentee after: SHANGHAI POWER EQUIPMENT Research Institute Address before: 200240 Shanghai city Minhang District Jianchuan Road No. 1115 Patentee before: SHANGHAI POWER EQUIPMENT Research Institute |
|
| CP01 | Change in the name or title of a patent holder |