CN107843509B - Method for estimating residual endurance life of supercritical unit T/P92 heat-resistant steel based on room-temperature Brinell hardness prediction - Google Patents
Method for estimating residual endurance life of supercritical unit T/P92 heat-resistant steel based on room-temperature Brinell hardness prediction Download PDFInfo
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Abstract
The invention relates to the field of evaluation of residual endurance life of steel materials, in particular to a method for evaluating residual endurance life of T/P92 heat-resistant steel of a supercritical unit based on room-temperature Brinell hardness prediction. According to the invention, the high-temperature tensile strength of the material is taken as a bridge, and the corresponding relation between the permanent fracture life and the room-temperature Brinell hardness HB in different aging states is established, so that a mathematical analysis formula of the relation between the room-temperature Brinell hardness and the permanent fracture time of the P92 steel under the given temperature and stress conditions is established. The method can quickly and accurately predict the residual durable life of the current material under the specific steam parameters through simple, convenient and nondestructive hardness testing, can directly avoid economic loss caused by shutdown or pipeline cutting, and can effectively prevent accidents caused by aging and invalidation of the material by timely evaluating the residual life of the T/P92 heat-resistant steel due to the characteristics of convenience and quickness.
Description
Technical Field
The invention relates to the field of evaluation of residual endurance life of steel materials, in particular to a method for evaluating residual endurance life of T/P92 heat-resistant steel of a supercritical unit based on room-temperature Brinell hardness prediction.
Background
Evaluation of high temperature creep life has been an important issue in the development of heat resistant steels based on safety and economic considerations. The metal material running under the actual condition is usually very little in stress and low in temperature, and the service life under the service condition can be directly obtained by using the condition for experiment, but a great deal of time is consumed, sometimes years, even decades. In order to shorten the time, the experimental stress or temperature must be increased, i.e. accelerated experimentation followed by extrapolation to determine the remaining life under the conditions of use. Whether the results obtained are reliable depends to a large extent on the extrapolation method, apart from being relevant to experimental techniques. The current methods widely applied are as follows: isotherm extrapolation, time-temperature parametric method (Larson-Miller parametric method), and least-constraint method.
(1) Isotherm extrapolated endurance strength
The method is characterized in that data of short-term tests are carried out by using higher different stresses at the same test temperature, a relation between the stress and the fracture time is established, and the long-term endurance strength value at the test temperature is extrapolated. Analysis of a large amount of experimental data shows that when the material is subjected to a permanent strength test at a certain constant temperature, a certain relation exists between the fracture time and the stress of the sample. The following two empirical relationships are widely used:
τ＝Aσ-B
τ＝Ce-Dσ
the above equation indicates that the logarithm of the time to break τ is linear with the logarithm of the stress σ or the logarithm of the time to break τ is linear with the stress σ. The former (bi-log coordinate relationship) is the most common of the two. It must be noted, however, that the linear extrapolation of the persistence intensity, whether in a log-log relationship or a semi-log relationship, is approximate. In the conventional log-log coordinate system, the test points do not really conform to the linear relationship, but actually are a curve with twice turning, and only some areas of the curve are relatively close to straight lines and are approximately processed by a linear method. The location and shape of the inflection is different for different materials and different temperatures. Long-term tests at high temperatures show: steels with higher structural stability show insignificant turning or appear after longer tests. For some steels with less stable structures, the turning is very obvious, so the method of straight line extrapolation is rough. However, the isotherm extrapolation method is simple and easy to implement, and can obtain an extrapolation value which is relatively close to the actual value under a certain condition, so that the isotherm extrapolation method is still widely applied. But should be limited to extrapolating time no more than 10 times the test time to ensure relative accuracy of the extrapolated value.
(2) Time-temperature parameter method
The method is developed in the fifties, and indicates the temperature and time relationship, and a mathematical expression of a certain parameter P can be found for representation. It is a function of this process in relation to temperature and time, the parameter P itself being a function of stress, i.e. as long as the stress σ to which the metallic material is subjected is constant, the parameter P remains constant for various combinations of time τ at temperature T, i.e. P (σ) II. The parametric equation can be written in the following general form:
P＝P(σ)＝f(T，τ)
the specific parameter relationships are numerous, the L-M parameter method is the most widely used extrapolation method, which was proposed by Larson-Miller in 1952, and the basic idea is that the temperature T (K) has a compensating relationship with the fracture time, i.e. for a certain fracture stress, the temperature and time are equivalent, i.e. for a certain fracture stress, only one P corresponds. This relationship may be represented by the L-M parameter PL-MTo indicate. Carrying out stress extrapolation by using creep rupture data under accelerated experiment conditions to obtain P under using conditionsL-MThen, the fracture time was calculated.
lgσ＝f(PL-M)＝f[10-3T(C+lgτ)]
The extrapolation method has the main advantages of convenient use, wide application range and higher accuracy. The disadvantages are that: destructive testing of the components is necessary, time consuming and labor intensive; when obvious cavities and microcracks appear in the component, accurate experimental data are difficult to measure; the experimental data has large dispersity under the influence of chemical components, microstructures and working condition nonuniformity in operation; a large number of experiments are required to determine the C value for a new material, and the C value is related to stress.
Disclosure of Invention
The invention aims to provide a method for estimating the residual durable life of T/P92 heat-resistant steel of a supercritical unit based on room-temperature Brinell hardness prediction, which can quickly and accurately predict the residual durable life of the current material under specific steam parameters through simple, convenient and nondestructive hardness tests, can directly avoid economic loss caused by shutdown or pipeline cutting, and can effectively prevent accidents caused by aging and failure of the material by timely estimating the residual life of the material due to the characteristics of convenience and quickness.
In order to realize the purpose of the invention, the technical scheme adopted by the invention is as follows:
a method for predicting the residual endurance life of supercritical unit T/P92 heat-resistant steel based on room-temperature Brinell hardness specifically comprises the following steps:
(1) test piece with different aging damages obtained by heat treatment
For T/P92 heat-resistant steel which is not in service, obtaining workpieces with different aging damage levels by adopting equivalent accelerated aging heat treatment at the actual working temperature and time, cooling the material to room temperature, and taking a part of the materials to prepare a plurality of hardness test specimens;
(2) measurement of hardness
Measuring the hardness of the material under different aging damages by using a standard hardness tester, testing the hardness of the hardness test specimen in a laboratory according to the national standard GB/T231.4-2009, wherein each group of test specimens is 3-5, the test is carried out for at least 3 times under each aging state, and an average value is taken;
(3) high temperature tensile Strength determination
Selecting 5 groups of characteristic Brinell hardness value samples to test the high-temperature tensile strength of the material under different aging damages, wherein the temperature comprises 773K, 823K, 873K and 923K, and establishing a corresponding mathematical relationship model, wherein the relationship is as follows:
σR＝1.58HB+547.80-0.61T (1)
in the formula, σRIs that the material is at a certain temperature: 773K is T is not more than 923K, the tensile strength of the T/P92 steel, HB is the room temperature Brinell hardness of the material in any tissue state, and T is the application temperature;
(4) endurance test
Performing high-temperature endurance experiments by using the 5 groups of samples with different characteristic hardness values and aging damage states and obtaining fracture time parameters, wherein the high temperature comprises 550 ℃, 600 ℃ and 650 ℃, and each group is subjected to endurance experiments under at least 2 different stress conditions at 3 different experiment temperatures;
(5) construction of mathematical model of isotherm extrapolation
Isotherm extrapolation formula:
tr＝Aσ-B (2)
wherein A is a parameter related to the state of the material structure, also called "resistance" of the material, i.e. a parameter of the capacity to resist the deformation of the material, and B is a parameter related to the temperature;
taking logarithm of formula (2) to obtain:
lgtr＝lgA-Blgσ (3)
since the difference of the tissue states of the materials in accelerated aging is obvious, A is a parameter which changes along with the aging degree; that is to say, parameters A and B under the current condition are obtained by utilizing a plurality of groups of stresses and corresponding permanent fracture time under the same aging parameter and the same temperature;
(6) establishing a mathematical relationship between the high-temperature tensile strength of the material and the parameter A, and between the lasting experiment temperature and the parameter B, and obtaining the following relational expression:
A＝2.7*106σR 9.03+16.71 (4)
B＝0.1T-75.68 (5)
(7) fitting a function of hardness-residual life isoparametric
Combining the formulas (1), (2), (4) and (5) to obtain the mathematical relationship analytical formula of the room temperature Brinell hardness prediction and the current material residual life under any temperature and stress conditions in the T/P92 steel:
tr＝[2.7*106(1.58HB+547.80-0.61T)9.03+16.71]σ75.68-0.1T (6)
in the formula, trFor the current material residual life, HB is the material room temperature Brinell hardness, T is the temperature used for predicting the life, and σ is the stress used for predicting the life.
The evaluation method, the experimental method for predicting the residual life by using the room temperature hardness, is only suitable for predicting the residual durable life of the T/P92 steel used in the range of 773K-923K.
According to the evaluation method, the empirical formula for predicting the residual life by utilizing the room temperature hardness has a self-accurate function, and the empirical formula is further accurate according to the hardness and lasting data of any T/P92 heat-resistant steel in an applicable temperature range.
The design idea of the invention is as follows:
according to the invention, the high-temperature tensile strength of the material is taken as a bridge, and the corresponding relation between the permanent fracture life and the room-temperature Brinell hardness HB in different aging states is established, so that a mathematical analysis formula of the relation between the room-temperature Brinell hardness and the permanent fracture time of the P92 steel under the given temperature and stress conditions is established.
The invention has the advantages and beneficial effects that:
the method can quickly and accurately predict the residual durable life of the current material under the specific steam parameters through simple, convenient and nondestructive hardness testing, can directly avoid economic loss caused by shutdown or pipeline cutting, and can effectively prevent accidents caused by aging and invalidation of the material by timely evaluating the residual life of the T/P92 heat-resistant steel due to the characteristics of convenience and quickness.
Drawings
FIG. 1 is a graph showing the change of Brinell hardness at room temperature of P92 heat-resistant steel at different aging times. In the figure, the abscissa agendtime is the aging time (h); the Brinell hardness HB is plotted on the ordinate.
FIG. 2 is a graph of high temperature tensile strength of P92 heat resistant steel at different aging times at characteristic hardness values. In the figure, the abscissa age time is the aging time (h); the ordinate Tensil Strength is the Tensile Strength (MPa).
FIG. 3 is a graph showing the relationship between the high temperature tensile strength and the room temperature hardness. In the figure, the abscissa is brinell hardness HB; ordinate σRThe tensile strength (MPa).
FIG. 4 shows lg σ -lgtrA log-log graph. In the figure, the abscissa lg σ represents the logarithm of the stress used to predict the life; ordinate parameter lgtrRepresenting the logarithm of the remaining life of the current material.
FIG. 5 is a graph showing the relationship between the high temperature tensile strength and the parameter A. In the figure, the abscissa σRThe ordinate A represents the tensile strength (MPa) of the material.
FIG. 6 is a graph showing the relationship between the temperature of the endurance test and the parameter B. In the figure, the abscissa T is the temperature (K); the ordinate parameter B represents a temperature-dependent parameter.
Detailed Description
In order to clearly understand the technical contents of the present invention, the material is taken as an example for further explanation. It should be understood that the following examples are for illustrative purposes only and are not intended to limit the scope of the present invention.
Examples
The method for predicting the residual durable life of the supercritical unit T/P92 heat-resistant steel based on the room-temperature Brinell hardness is realized by using the unused P92 heat-resistant steel of a certain power plant, and the specific realization mode is as follows:
(1) test piece with different aging damages obtained by heat treatment
For T/P92 heat-resistant steel which is not in service, obtaining workpieces with different aging damage levels by adopting equivalent accelerated aging heat treatment at the actual working temperature and time, cooling the material to room temperature, and taking a part of the materials to prepare a plurality of hardness test specimens;
in the present example, the equivalent accelerated aging heat treatment means: aging at a temperature of 30-40 ℃ below the AC1 point for 5-1000 h; and after the aging is finished, carrying out secondary aging at 650 ℃ to ensure that a Laves phase is rapidly separated out, and finally realizing an aged tissue equivalent to the aged tissue under different periods of actual working conditions.
(2) Measurement of hardness
Measuring the hardness of the material under different aging damages by using a standard hardness tester, testing the hardness of the hardness test specimen in a laboratory according to the national standard GB/T231.4-2009, wherein each group of test specimens is 3-5, the test is carried out for at least 3 times under each aging state, and an average value is taken;
(3) high temperature tensile Strength determination
Selecting 5 groups of characteristic Brinell hardness value samples to carry out high-temperature (including 773K, 823K, 873K and 923K) tensile strength tests on the materials under different aging damages, and establishing a corresponding mathematical relationship model, wherein the relationship is as follows:
σR＝1.58HB+547.80-0.61T (1)
in the formula, σRThe tensile strength of the T/P92 steel is measured at a certain temperature T (773K is equal to or less than T equal to or less than 923K), HB is the room-temperature Brinell hardness of the material in any tissue state, and T is the application temperature.
(4) Endurance test
The 5 groups of samples with different characteristic hardness values and aging damage states are used for carrying out high-temperature (including 550 ℃, 600 ℃ and 650 ℃) lasting experiments and obtaining fracture time parameters, each group needs to carry out lasting experiments under at least 2 different stress conditions at 3 different experiment temperatures, and the results are shown in table 1.
TABLE 1P 92 different aging level durability Performance
(5) Construction of mathematical model of isotherm extrapolation
The commonly used isotherm extrapolation formula:
tr＝Aσ-B (2)
where a is a parameter related to the state of the structure of the material, which may also be referred to as the "resistance" of the material, i.e. the resistance to deformation of the material, and B is a parameter related to the temperature.
Taking logarithm of formula (2) to obtain:
lgtr＝lgA-Blgσ (3)
since the difference in the state of the tissue is significant as a result of accelerated ageing of the material, A is a variable which changes with the degree of ageing. That is, for the same aging parameters and the same temperature, the parameters A and B under the current conditions can be determined using sets of stresses and their corresponding permanent rupture times, the results of which are shown in Table 2.
Material parameter A and temperature parameter B in Table 2P 92
(6) Establishing a mathematical relationship between the high-temperature tensile strength of the material and the parameter A, and between the lasting experiment temperature and the parameter B, and obtaining the following relational expression:
A＝2.7*106σR 9.03+16.71 (4)
B＝0.1T-75.68 (5)
(7) fitting a function of hardness-residual life isoparametric
The mathematical relation analytical formula of the Brinell hardness prediction and the residual life of the current material under any temperature and stress condition in T/P92 steel can be obtained by combining the formulas (1), (2), (4) and (5):
tr＝[2.7*106(1.58HB+547.80-0.61T)9.03+16.71]σ75.68-0.1T (6)
in the formula, trFor the current material residual life, HB is the material room temperature Brinell hardness, T is the temperature used for predicting the life, and σ is the stress used for predicting the life.
In the experiment, a sample with the hardness of HB148 of P92 heat-resistant steel is selected to be subjected to a 600 ℃/140MPa endurance experiment, and the endurance breaking time is 1397.42 h; the residual durable service life of the sample under the corresponding durable condition is calculated and predicted to be 1357.59h by using the formula (6), the error is 2.9%, and the result well proves the accuracy of the prediction method of the invention.
As shown in FIG. 1, as can be seen from the Brinell hardness change chart of the P92 heat-resistant steel at room temperature under different aging times, the Brinell hardness HB continuously decreases with the increase of the aging time, and the initial decrease is relatively fast and then gradually becomes gentle, and the result can well correspond to the aging evolution process of the material structure, which means that it is appropriate to use the hardness to characterize the current structure characteristics of the material. In addition, different equivalent accelerated aging temperature tests prove that the material has shorter heat treatment time and better effect under the condition of 800 ℃.
As shown in fig. 2, as can be seen from the high-temperature tensile strength diagram of the P92 heat-resistant steel at different aging times at the characteristic hardness value, the high-temperature tensile strength of the material is reduced to a certain extent as the aging time is prolonged, and the reduction trend is basically consistent with the hardness change.
As shown in FIG. 3, it can be seen from the corresponding relationship between the high temperature tensile strength and the room temperature hardness that the hardness and the high temperature tensile strength of different aging degrees have good corresponding relationship, so that the mathematical relationship between the hardness and the high temperature tensile strength under different aging conditions can be established, that is, the high temperature tensile strength of the material can be represented by using the hardness.
As shown in fig. 4, from lg σ -lgtrIt can be seen from the log-log graph that under the same aging parameter and the same temperature, the parameter A under the current condition can be obtained by utilizing a plurality of groups of stresses and corresponding permanent fracture time thereofAnd B, wherein A is the intercept of the relationship curve, and B is the absolute value of the slope of the relationship curve.
As shown in fig. 5, it can be seen from the graph of the correspondence between the high-temperature tensile strength and the parameter a that a good correspondence is established between the high-temperature tensile strength of the material and the parameter a, since the high-temperature tensile strength of the material can represent the tissue state of the material under different aging characteristics, that is, the parameter a is the tissue state parameter of the material in the equation for extrapolation of the isotherm and can be represented by the high-temperature tensile strength.
As shown in fig. 6, it can be seen from the corresponding relationship between the endurance test temperature and the parameter B that the parameter B is only related to the temperature and not to the aging state of the material, and the parameter tends to a certain value in different aging states.
Claims (2)
1. A method for predicting the residual endurance life of supercritical unit T/P92 heat-resistant steel based on room-temperature Brinell hardness is characterized by comprising the following steps:
(1) test piece with different aging damages obtained by heat treatment
For T/P92 heat-resistant steel which is not in service, test pieces with different aging damage levels are obtained after equivalent accelerated aging heat treatment, the test pieces are cooled to room temperature, and a part of the test pieces are prepared into a plurality of hardness test pieces;
(2) measurement of hardness
Measuring the hardness of the test pieces under different aging damages by using a standard hardness tester, carrying out hardness test on the hardness test pieces in a laboratory according to the national standard GB/T231.4-2009, wherein each group of test pieces is 3-5, the test is carried out for at least 3 times in each aging state, and averaging;
(3) high temperature tensile Strength determination
Selecting 5 groups of test pieces with characteristic Brinell hardness values, testing the high-temperature tensile strength under different aging damages at the temperature of 773K, 823K, 873K and 923K, and establishing a corresponding mathematical relationship model, wherein the relationship is as follows:
σR＝1.58HB+547.80-0.61T (1)
in the formula, σRIs that the temperature of the test piece is: T/P92 steel with T being more than or equal to 773K and less than or equal to 923KTensile strength, HB is the room temperature Brinell hardness of the test piece in any tissue state, and T is the application temperature;
(4) endurance test
Performing high-temperature endurance experiments on the 5 groups of test pieces with different aging damage states of characteristic Brinell hardness values to obtain fracture time parameters, wherein the temperature comprises 550 ℃, 600 ℃ and 650 ℃, and each group is subjected to endurance experiments under at least 2 different stress conditions at 3 different experiment temperatures;
(5) construction of mathematical model of isotherm extrapolation
Isotherm extrapolation formula:
tr＝Aσ-B (2)
wherein A is a parameter related to the tissue state of the test piece, also called the resistance of the test piece, namely the parameter of the capability of resisting the deformation of the test piece, and B is a parameter related to the temperature;
taking logarithm of formula (2) to obtain:
lgtr＝lgA-Blgσ (3)
the difference of the accelerated aging tissue states of the test piece is obvious, so that A is a parameter which changes along with the aging degree; that is to say, parameters A and B under the current condition are obtained by utilizing a plurality of groups of stresses and corresponding permanent fracture time under the same aging parameter and the same temperature;
(6) establishing a mathematical relationship between the high-temperature tensile strength of the test piece and the parameter A, and between the lasting experiment temperature and the parameter B, and obtaining the following relational expression:
A＝2.7*106σR 9.03+16.71 (4)
B＝0.1T-75.68 (5)
(7) fitting a function of hardness-residual life isoparametric
Combining the formulas (1), (2), (4) and (5) to obtain the mathematical relationship analytical formula of the room temperature Brinell hardness and the current test piece residual life under any temperature and stress conditions in the T/P92 steel:
tr＝[2.7*106(1.58HB+547.80-0.61T)9.03+16.71]σ75.68-0.1T (6)
in the formula, trIs at presentThe residual life of the test piece, HB is the Brinell hardness of the test piece at room temperature, T is the temperature used for predicting the life, and sigma is the stress used for predicting the life;
the evaluation method is only suitable for predicting the residual endurance life of the T/P92 steel used in the range between 773K and 923K.
2. The evaluation method according to claim 1, wherein the mathematical relationship analysis formula has a self-precision function, and the hardness and durability data of any T/P92 heat-resistant steel in the applicable temperature range further refine the mathematical relationship analysis formula.
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| CN103063528A (en) * | 2012-12-20 | 2013-04-24 | 广东电网公司电力科学研究院 | Method for fast evaluating high temperate member residual service life on spot |
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| CN101196507A (en) * | 2007-12-28 | 2008-06-11 | 西安交通大学 | Method for predicting creep life of power boiler heatproof material |
| CN101509855A (en) * | 2009-03-17 | 2009-08-19 | 华东理工大学 | On-line prediction method for high-temperature pipe damage and longevity |
| CN103063528A (en) * | 2012-12-20 | 2013-04-24 | 广东电网公司电力科学研究院 | Method for fast evaluating high temperate member residual service life on spot |
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