CN110008527A - A kind of heat-resisting steel material residue lifetime estimation method - Google Patents
A kind of heat-resisting steel material residue lifetime estimation method Download PDFInfo
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- CN110008527A CN110008527A CN201910193332.9A CN201910193332A CN110008527A CN 110008527 A CN110008527 A CN 110008527A CN 201910193332 A CN201910193332 A CN 201910193332A CN 110008527 A CN110008527 A CN 110008527A
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- 239000000463 material Substances 0.000 title claims abstract description 64
- 229910000831 Steel Inorganic materials 0.000 title claims abstract description 38
- 239000010959 steel Substances 0.000 title claims abstract description 38
- 238000000034 method Methods 0.000 title claims abstract description 23
- 238000001514 detection method Methods 0.000 claims abstract description 9
- 230000006866 deterioration Effects 0.000 claims abstract description 7
- 238000005259 measurement Methods 0.000 claims abstract description 3
- 238000000465 moulding Methods 0.000 claims description 4
- 238000005297 material degradation process Methods 0.000 claims description 2
- 238000003466 welding Methods 0.000 claims description 2
- 230000007812 deficiency Effects 0.000 abstract description 2
- 238000007373 indentation Methods 0.000 description 4
- 239000002184 metal Substances 0.000 description 4
- 238000005070 sampling Methods 0.000 description 3
- 230000015556 catabolic process Effects 0.000 description 2
- 238000006731 degradation reaction Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 208000025599 Heat Stress disease Diseases 0.000 description 1
- 208000027418 Wounds and injury Diseases 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000000052 comparative effect Effects 0.000 description 1
- 238000005336 cracking Methods 0.000 description 1
- 230000006378 damage Effects 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 208000014674 injury Diseases 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
- 238000013139 quantization Methods 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
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Abstract
The invention discloses a kind of heat-resisting steel material residue lifetime estimation methods.At present to the commonly used detection means of the life prediction of in-service boiler material, there are certain deficiencies in terms of detection reliability and accuracy.The present invention, to different deterioration states up to the measurement of room temperature plastic work done under material lifetime final state, establishes the corresponding relationship of plastic work done Yu heat-resisting steel material service life, to predict the remaining life of heat-resisting steel material using heat-resisting steel material room temperature plastic work done as detection means.The present invention tracks the service life of material by plastic work done index, has the advantage easily quantified；By establishing material lifetime trend relationship corresponding with plastic work done come the service life of judgement material, there is intuitive advantage.
Description
Technical field
The invention belongs to heat-resisting steel material field, specifically a kind of heat-resisting steel material residue lifetime estimation method.
Background technique
Recently as ultra supercritical (USC) unit each province's installed capacity be continuously increased and unit in critical material
Production domesticization application gradually increase, metal supervision of the New Heat-Resistant Steel after USC unit puts into operation have become one it is new, compel to be essential
The problem of paying attention to.But since the heat-resisting steel capital of most of Domestic News has just come out soon, also lack very much for its electricity at present
Performance change data under factory's service condition, which results in difficult to its metal supervision at this stage.Therefore, carry out novel resistance to
Mechanical property degradation rule of the hot steel under service condition and physical mechanism comparative study, have put into operation for scientific evaluation and will
The service safety and rational of the Domestic New heat resisting steel weldment to put into operation are directed to the related measure etc. of its metal supervision
It has important practical significance and urgency.
Since supercritical unit heat resisting steel is used for a long time under high temperature, condition of high voltage, group is woven in the process of long service
In can deteriorate, in the operation in power plant, it is necessary to exercise supervision to the state of the art of element of installation, and to its reliability
It is predicted at this moment there is special meaning, material lifetime, which carries out, to be largely decided by specific equipment or component
Evaluation.
At present to the commonly used detection means of the life prediction of in-service boiler material be generally basede on Hardness Surveillance, room temperature and
The means such as high temperature tensile properties inspection, oxide skin inspection, carbide analysis, metal lographic examination, in detection reliability and accuracy side
There are certain deficiencies in face.
Summary of the invention
The technical problem to be solved by the present invention is to overcome the problems of the above-mentioned prior art, a kind of convenience is provided, is had
Effect measures prediction super (super-) critical unit heat resisting steel residue lifetime estimation method based on temperature-room type plasticity function, can be used for pre- fire detecting
The degradation of supercritical unit heat resisting steel of the power plant after longtime running；Since the index of plastic work done is relative to common at present
Other indexs, more can reflect the degree of injury of material and easily quantization, reliability and accuracy to material safe prediction are more
With advantage.
To achieve the above object of the invention, The technical solution adopted by the invention is as follows: a kind of heat-resisting steel material remaining life is commented
Method is estimated, using heat-resisting steel material room temperature plastic work done as detection means, to different deterioration states until material lifetime final state
The measurement of lower room temperature plastic work done, establishes the corresponding relationship of plastic work done Yu heat-resisting steel material service life, to predict heat-resisting steel material
Remaining life.
Above-mentioned heat-resisting steel material residue lifetime estimation method comprising following specific steps:
1) plastic work done detects
Sample is cut from examined same batch pipe, carries out plastic work done detection after being prepared into standard sample；
2) foundation of the corresponding relationship of plastic work done and material lifetime
Different deterioration states are prepared up to a series of samples of material lifetime final state, corresponding plastic work done is measured, builds
Vertical material lifetime trend relationship corresponding with plastic work done；
3) material remaining life judges
By material lifetime trend relationship corresponding with plastic work done, the plastic work done of tested batch sample is measured, judgement is tested
The life situations of batch sample.
Above-mentioned heat-resisting steel material residue lifetime estimation method is detected by the moulding function to heat resisting steel, obtains material
Fundamental characteristics.
Above-mentioned heat-resisting steel material residue lifetime estimation method, the moulding function also include its corresponding transformable parameter
Elastic work, plastic work done accounting and elastic work accounting.
Above-mentioned heat-resisting steel material residue lifetime estimation method, the different deterioration states, including creep, fatigue, when
The single or comprehensive method of effect promotes material degradation.
Above-mentioned heat-resisting steel material residue lifetime estimation method, the heat-resisting steel material include base material and welding point.
The device have the advantages that as follows:
(1) present invention tracks the service life of material by plastic work done index, has the advantage easily quantified.
(2) present invention has by establishing material lifetime trend relationship corresponding with plastic work done come the service life of judgement material
Intuitive advantage.
(3) present invention is suitble to various types of material service life to judge, including fatigue, creep, timeliness etc..
Detailed description of the invention
Fig. 1 is material lifetime trend relational graph corresponding with plastic work done in the embodiment of the present invention 1；
Fig. 2 is material lifetime trend relational graph corresponding with plastic work done in the embodiment of the present invention 2.
Specific embodiment
The present invention is further elaborated below by embodiment and attached drawing.
Embodiment 1
Sampling is selected from certain power plant 1000MW ultra supercritical power generation machine superheater, and material is austenitic heat-resistance steel HR3C, sampling
Serial creep sample is prepared, respectively in 700 DEG C and 0.5Rp0.2Under conditions of test 1000h, 2000h, 3000h, 4000h is to compacted
Become fracture sample, using the indentation plastic work done that indentation method (1000mN) tests above-mentioned sample respectively be respectively 1.335uJ,
1.255uJ, 1.185uJ, 1.105uJ, 1.050uJ, establish material lifetime trend relationship corresponding with plastic work done: plastic work done=
1.405-0.000075* in the service life (time), seeing Fig. 1.The plastic work done of sample is measured for 1.260uJ, in Fig. 1Position
The remaining life of the sample is represented, gained remaining life 2800h is calculated.
Embodiment 2
Sampling is selected from certain GTCC power plant stop valve, material P91, because long-term regulating units running temperature fluctuates greatly to main vapour
The service life of the cold & heat fatigue resisting of valve is predicted.Respectively 550 DEG C -100 DEG C recycle 200 times, 400 times, 600 times, 800 times with it is tired
Labor cracking sample using indentation method (300mN) test respectively above-mentioned sample indentation plastic work done be respectively 0.1240uJ,
0.1183uJ, 0.1135uJ, 0.1055uJ, 0.0990uJ establish material lifetime trend relationship corresponding with plastic work done, see Fig. 2,
Plastic work done=0.1311-0.000032* service life (number).
The plastic work done of sample is measured for 0.1110uJ, in Fig. 2Position represents the remaining life of the sample, meter
Calculate gained remaining life 375 times.
Claims (6)
1. a kind of heat-resisting steel material residue lifetime estimation method, which is characterized in that with heat-resisting steel material room temperature plastic work done be detection
Means establish plastic work done and heat resisting steel to different deterioration states up to the measurement of room temperature plastic work done under material lifetime final state
The corresponding relationship of material lifetime, to predict the remaining life of heat-resisting steel material.
2. heat-resisting steel material residue lifetime estimation method according to claim 1, which is characterized in that including following specific step
It is rapid:
1) plastic work done detects
Sample is cut from examined same batch pipe, carries out plastic work done detection after being prepared into standard sample；
2) foundation of the corresponding relationship of plastic work done and material lifetime
Different deterioration states are prepared up to a series of samples of material lifetime final state, corresponding plastic work done is measured, establishes material
Expect service life trend relationship corresponding with plastic work done；
3) material remaining life judges
By material lifetime trend relationship corresponding with plastic work done, the plastic work done of tested batch sample is measured, judges tested batch
The life situations of sample.
3. heat-resisting steel material residue lifetime estimation method according to claim 1 or 2, which is characterized in that by heat-resisting
The moulding function of steel detects, and obtains the fundamental characteristics of material.
4. heat-resisting steel material residue lifetime estimation method according to claim 1 or 2, which is characterized in that the moulding
Function also includes its corresponding transformable parametric elasticity function, plastic work done accounting and elastic work accounting.
5. heat-resisting steel material residue lifetime estimation method according to claim 1 or 2, which is characterized in that the difference
Deterioration state, the single or comprehensive method including creep, fatigue, timeliness promote material degradation.
6. heat-resisting steel material residue lifetime estimation method according to claim 1 or 2, which is characterized in that described is heat-resisting
Steel material includes base material and welding point.
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| CN201910193332.9A CN110008527A (en) | 2019-03-14 | 2019-03-14 | A kind of heat-resisting steel material residue lifetime estimation method |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112630075A (en) * | 2020-11-19 | 2021-04-09 | 西安热工研究院有限公司 | Material state evaluation method of low-hardness P91 pipe fitting based on partition |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH11248605A (en) * | 1998-03-05 | 1999-09-17 | Tohoku Electric Power Co Inc | Estimation device and method for creep remaining life of gas turbine vane |
| CN102466597A (en) * | 2010-11-05 | 2012-05-23 | 华东理工大学 | Nondestructive test and evaluation method of metal member / material residual life |
| CN107843509A (en) * | 2016-09-20 | 2018-03-27 | 中国科学院金属研究所 | Based on room temperature Brookfield Hardness Prediction supercritical unit T/P92 heat resisting steel residue creep rupture life appraisal procedures |
| CN107843510A (en) * | 2016-09-20 | 2018-03-27 | 中国科学院金属研究所 | Based on room temperature Brookfield Hardness Prediction supercritical unit T/P91 heat resisting steel residue creep rupture life appraisal procedures |
| CN111400876A (en) * | 2020-03-04 | 2020-07-10 | 中国科学院金属研究所 | Metal member thermal mechanical fatigue life prediction method based on different constraint conditions |
-
2019
- 2019-03-14 CN CN201910193332.9A patent/CN110008527A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH11248605A (en) * | 1998-03-05 | 1999-09-17 | Tohoku Electric Power Co Inc | Estimation device and method for creep remaining life of gas turbine vane |
| CN102466597A (en) * | 2010-11-05 | 2012-05-23 | 华东理工大学 | Nondestructive test and evaluation method of metal member / material residual life |
| CN107843509A (en) * | 2016-09-20 | 2018-03-27 | 中国科学院金属研究所 | Based on room temperature Brookfield Hardness Prediction supercritical unit T/P92 heat resisting steel residue creep rupture life appraisal procedures |
| CN107843510A (en) * | 2016-09-20 | 2018-03-27 | 中国科学院金属研究所 | Based on room temperature Brookfield Hardness Prediction supercritical unit T/P91 heat resisting steel residue creep rupture life appraisal procedures |
| CN111400876A (en) * | 2020-03-04 | 2020-07-10 | 中国科学院金属研究所 | Metal member thermal mechanical fatigue life prediction method based on different constraint conditions |
Non-Patent Citations (3)
| Title |
|---|
| ELLYIN F: "Plastic Strain Energy in Fatigue Failure", 《JOURNAL OF PRESS VESSEL TECHNOLOGY》 * |
| GARUD Y S: "A New Approach to the Evaluation of Fatigue under Multiaxial Loading", 《JOURNAL OF ENGINEERING MATERIAL TECHNOLOGY》 * |
| 张哲峰: "疲劳损伤及寿命预测的塑性功模型", 《强度与环境》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112630075A (en) * | 2020-11-19 | 2021-04-09 | 西安热工研究院有限公司 | Material state evaluation method of low-hardness P91 pipe fitting based on partition |
| CN112630075B (en) * | 2020-11-19 | 2024-03-12 | 西安热工研究院有限公司 | Method for evaluating material state of low-hardness P91 pipe fitting based on partition |
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