Creep test data fusion method and apparatus

Abstract

The application provides a creep test data fusion method and device, the method comprises the following steps: obtaining a plurality of test data sets (including a plurality of creep test data points obtained by creep test) corresponding to different samples; if the plurality of test data sets meet the merging condition, pre-fusion is performed according to the subsample number (i.e. the number of creep test data points contained in the test data set) of each test data set; curve fitting is performed on the pre-fused test data set to obtain three comprehensive curves of thermal strength parameters; after deleting the creep test data points located outside the limited range, curve fitting is performed again, the limited range is the range defined by the three comprehensive curves of thermal strength parameters, and the process is repeated until all the creep test data points fall within the specified range, and then the pre-fused test data set is merged into a fused data set. According to the scheme, the plurality of test data sets are merged into a fused data set, the data amount used for creep strength curve fitting is expanded, and the accuracy of the fitted curve is improved.

Description

Technical Field

[0001] This invention relates to the field of high-temperature mechanical properties of metallic materials, and in particular to a method and apparatus for fusing creep test data. Background Technology

[0002] Creep in metals refers to the phenomenon where strain increases over time under sustained stress. This phenomenon is more pronounced at higher temperatures in the operating environment of metal components. Therefore, for metal components operating in high-temperature environments for extended periods, such as hot-end components of aero-engines (components operating at high temperatures, such as turbine stators and rotor blades), creep damage becomes a major factor limiting component fatigue life.

[0003] In engineering, the creep properties of high-temperature materials are mainly expressed by creep strength. Creep strength can be measured experimentally, but these tests often require tens, hundreds, or even thousands of hours, resulting in significant time and financial costs. To save costs, creep strength is usually measured using only a small number of tests, and the creep strength curve is obtained through curve fitting based on the limited experimental data. This leads to low accuracy in the obtained creep strength curve. Summary of the Invention

[0004] To address the shortcomings of the prior art, this invention provides a method and apparatus for fusing creep test data, thereby providing a low-cost method for predicting high-temperature creep performance.

[0005] The first aspect of this application provides a method for fusing creep test data, including:

[0006] Multiple test datasets are obtained; each test dataset corresponds to a specimen; the test dataset includes multiple creep test data points obtained by performing creep tests on the corresponding specimen;

[0007] Check whether the multiple test datasets meet the merging criteria;

[0008] If the multiple test datasets meet the merging criteria, pre-fusion is performed based on the number of samples in each test dataset; wherein, the number of samples in the test dataset is the number of creep test data points contained in the test dataset;

[0009] Based on the preset confidence level and survival rate, curve fitting is performed on the pre-fused test dataset to obtain three comprehensive curves of thermal intensity parameters corresponding to the confidence level and survival rate;

[0010] If there is a creep test data point outside the limited range in the pre-fused test data set, the creep test data point outside the limited range is deleted from the pre-fused test data set; wherein the limited range is a range defined by the three thermal strength parameter comprehensive curves;

[0011] The step of performing the curve fitting on the pre-fused test data set according to the preset confidence and survival rate to obtain the three thermal strength parameter comprehensive curves corresponding to the confidence and survival rate is returned to be executed until there is no creep test data point outside the limited range in the pre-fused test data set.

[0012] The pre-fused test data set is fused to obtain a fused data set.

[0013] Optionally, the pre-fusion according to the number of sub-samples of each test data set comprises:

[0014] If the difference in the number of sub-samples between each test data set is within a preset difference range, the test data sets are pre-fused.

[0015] If the difference in the number of sub-samples between each test data set is outside the difference range, the test data set with a preset proportion of the maximum number of sub-samples is pre-fused to the test data set with the maximum number of sub-samples.

[0016] Optionally, the detection of whether the plurality of test data sets meet the merging condition comprises:

[0017] The test samples corresponding to the plurality of test data sets are detected to be from the same furnace batch;

[0018] If the test samples corresponding to the plurality of test data sets are from the same furnace batch, it is determined that the plurality of test data sets meet the merging condition;

[0019] If the test samples corresponding to the plurality of test data sets are from different furnace batches, it is determined that the plurality of test data sets do not meet the merging condition.

[0020] Optionally, the curve fitting on the pre-fused test data set according to the preset confidence and survival rate to obtain the three thermal strength parameter comprehensive curves corresponding to the confidence and survival rate comprises:

[0021] According to the preset confidence and survival rate, the mean, the first deviation value and the second deviation value of the creep strength of the creep test data points corresponding to the same stress in the pre-fused test data set are calculated;

[0022] The mean, the first deviation value and the second deviation value of the creep strength corresponding to different stresses are curve fitted to obtain the three thermal strength parameter comprehensive curves corresponding to the confidence and survival rate.

[0023] Optionally, the deleting the creep test data points located outside the limited range from the pre-fused test data set comprises:

[0024] If there is only one pre-fused test data set, deleting the creep test data points located outside the limited range;

[0025] If there are multiple pre-fused test data sets, deleting the creep test data points located outside the limited range and belonging to small sub-sample test data sets, and retaining the creep test data points located outside the limited range and belonging to the largest sub-sample test data set; wherein the small sub-sample test data set is a test data set other than the largest sub-sample test data set in the multiple pre-fused test data sets, and the largest sub-sample test data set is a test data set with the largest sub-sample number in the multiple pre-fused test data sets.

[0026] The second aspect of the present application provides a creep test data fusion device, comprising:

[0027] An obtaining unit is configured to obtain multiple test data sets; wherein each test data set corresponds to a test sample; and each test data set comprises multiple creep test data points obtained by performing a creep test on the corresponding test sample.

[0028] A detecting unit is configured to detect whether the multiple test data sets meet a merging condition.

[0029] A pre-fusion unit is configured to, if the multiple test data sets meet the merging condition, perform pre-fusion according to the sub-sample numbers of the test data sets; wherein the sub-sample number of a test data set is the number of creep test data points included in the test data set.

[0030] A fitting unit is configured to perform curve fitting on the pre-fused test data set according to a preset confidence level and survival rate, to obtain three comprehensive curves of thermal strength parameters corresponding to the confidence level and the survival rate.

[0031] A deleting unit is configured to, if there are creep test data points located outside a limited range in the pre-fused test data set, delete the creep test data points located outside the limited range from the pre-fused test data set; wherein the limited range is a range defined by the three comprehensive curves of thermal strength parameters.

[0032] The fitting unit is configured to return to performing the curve fitting on the pre-fused test data set according to the preset confidence level and survival rate, to obtain the three comprehensive curves of thermal strength parameters corresponding to the confidence level and the survival rate, until there are no creep test data points located outside the limited range in the pre-fused test data set.

[0033] A merging unit is configured to merge the pre-fused test data sets to obtain a fused data set.

[0034] Optionally, when the pre-fusion unit performs pre-fusion according to the number of subsamples of each test data set, the pre-fusion unit is specifically configured to:

[0035] If the difference in the number of subsamples between each test data set is within a preset difference range, pre-fuse each test data set;

[0036] If the difference in the number of subsamples between each test data set is outside the difference range, pre-fuse a test data set whose number of subsamples is less than a preset proportion of the maximum number of subsamples to a test data set having the maximum number of subsamples.

[0037] Optionally, when the detection unit detects whether the plurality of test data sets meet the merging condition, the detection unit is specifically configured to:

[0038] Detect whether the test samples corresponding to the plurality of test data sets are from the same furnace batch;

[0039] If the test samples corresponding to the plurality of test data sets are from the same furnace batch, it is determined that the plurality of test data sets meet the merging condition;

[0040] If the test samples corresponding to the plurality of test data sets are from different furnace batches, it is determined that the plurality of test data sets do not meet the merging condition.

[0041] Optionally, when the fitting unit performs curve fitting on the pre-fused test data sets according to a preset confidence and survival rate to obtain three comprehensive curves of thermal strength parameters corresponding to the confidence and survival rate, the fitting unit is specifically configured to:

[0042] According to the preset confidence and survival rate, calculate the mean, first deviation value, and second deviation value of the creep test data points of the pre-fused test data set corresponding to the same stress;

[0043] According to the mean, first deviation value, and second deviation value of the creep strength corresponding to different stresses, perform curve fitting to obtain three comprehensive curves of thermal strength parameters corresponding to the confidence and survival rate.

[0044] Optionally, when the deletion unit deletes the creep test data points located outside the limited range from the pre-fused test data set, the deletion unit is specifically configured to:

[0045] If there is only one pre-fused test data set, delete the creep test data points located outside the limited range;

[0046] If there are multiple pre-fusion test data sets, delete the creep test data points outside the limited range and belonging to the small sample test data set, and retain the creep test data points outside the limited range and belonging to the largest sample test data set; wherein the small sample test data set is a test data set in the multiple pre-fusion test data sets, except for the largest sample test data set; and the largest sample test data set is a test data set in the multiple pre-fusion test data sets, having the largest sample size.

[0047] The present application provides a creep test data fusion method and device, the method comprising: obtaining multiple test data sets (including multiple creep test data points obtained by creep test) corresponding to different samples; if the multiple test data sets meet the merging condition, pre-fusing according to the sample size of each test data set (i.e. the number of creep test data points contained in the test data set); performing curve fitting with the pre-fused test data set to obtain three thermal strength parameter comprehensive curves; deleting the creep test data points outside the limited range and then fitting again, the limited range being the range defined by the three thermal strength parameter comprehensive curves, and repeating the process until all the creep test data points fall within the specified range, and merging the pre-fused test data set into a fusion data set. The present application merges multiple test data sets into a fusion data set, expands the amount of data used for creep strength curve fitting, and improves the accuracy of the fitted curve. BRIEF DESCRIPTION OF DRAWINGS

[0048] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed in the embodiments or prior art description will be briefly introduced. Obviously, the drawings in the following description are only embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative effort based on the provided drawings.

[0049] Figure 1 A flowchart of a creep test data fusion method provided by an embodiment of the present application;

[0050] Figure 2 A schematic diagram of a thermal strength comprehensive curve provided by an embodiment of the present application;

[0051] Figure 3 A structural schematic diagram of a creep test data fusion device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0052] With reference to the drawings of the embodiments of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present application, but not all the embodiments of the present application. Based on the embodiments of the present application, all the other embodiments obtained by a person of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0053] Please refer to Figure 1 A flow chart of a fusion method of creep test data provided by the embodiments of the present application, the method can include the following steps.

[0054] S101, obtaining a plurality of test data sets.

[0055] Each test data set corresponds to a test sample; the test data set includes a plurality of creep test data points obtained by performing a creep test on the corresponding test sample.

[0056] Each creep test data point includes stress Sig and corresponding creep strength P, wherein the creep strength P is a function of the stress Sig, and the creep strength P is defined as shown in the following formula (1):

[0057] P(Sig)=T(c+lgt) (1).

[0058] In formula (1), T represents the temperature of the test sample during the creep test, and t represents the creep rupture life of the test sample.

[0059] The c in formula (1) can be determined as follows:

[0060] The creep test data in the plurality of test data sets is used to perform linear regression fitting on the following formula (1.5), so as to determine the values of the coefficients b1 to b5 in the formula, and then the inverse of b1 is determined as c of formula (1).

[0061]

[0062] In formula (1.5), T is the absolute temperature, t is the creep rupture life, and x is the logarithm of the stress with base 10, i.e., x=lg(Sig).

[0063] S102, detecting whether the plurality of test data sets meet the merging condition.

[0064] If the plurality of test data sets meet the merging condition, step S103 is executed, and if the merging condition is not met, the embodiment ends.

[0065] Optionally, the execution process of step S102 can include:

[0066] Detecting whether the test samples corresponding to the plurality of test data sets are from the same furnace batch.

[0067] If the samples corresponding to the plurality of test data sets are from the same furnace batch, it is determined that the plurality of test data sets meet the merging condition;

[0068] If the samples corresponding to the plurality of test data sets are from different furnace batches, it is determined that the plurality of test data sets do not meet the merging condition.

[0069] The samples corresponding to the plurality of test data sets are from the same furnace batch, which means that these samples are forged from the same batch of material generated by the same forging furnace. Conversely, from different furnace batches, it means that the materials used for these samples come from different forging furnaces or different batches of the same forging furnace.

[0070] When the samples corresponding to the plurality of test data sets are from different furnace batches, the materials of the samples will have differences in chemical composition, heat treatment process, etc. These differences will lead to significant differences in the organization, grain size, and basic mechanical properties (tensile strength, etc.) of the samples from different furnace batches. Therefore, in this case, it is not appropriate to merge the creep test data points obtained by testing the samples from different furnace batches.

[0071] S103, pre-merge according to the number of sub-samples of each test data set.

[0072] Among them, the number of sub-samples of the test data set is the number of creep test data points contained in the test data set.

[0073] Optionally, pre-merging according to the number of sub-samples of each test data set includes:

[0074] If the difference in the number of sub-samples between each test data set is within a preset difference range, pre-merge each test data set;

[0075] If the difference in the number of sub-samples between each test data set is outside the difference range, pre-merge the test data set whose number of sub-samples is less than the preset proportion of the maximum number of sub-samples to the test data set with the maximum number of sub-samples.

[0076] The above-mentioned preset difference range can be 15% of the maximum number of sub-samples in each test data set.

[0077] That is, assuming that the number of sub-samples of the test data set with the most sub-samples in each test data set is Smax, then the preset difference range is 15% Smax.

[0078] The above-mentioned preset proportion can be set to 15%, or other values, without limitation.

[0079] In step S103, if the difference of subsample number between each test data set is within the preset difference range of 15% Smax, each test data set can be directly pre-fused to obtain a pre-fused test data set.

[0080] If the difference of subsample number between at least two test data sets in each test data set exceeds 15% Smax, and there is a test data set with a subsample number less than 15% Smax, these test data sets with a subsample number less than 15% Smax are directly merged into the test data set with the largest subsample number. In this way, pre-fusion is performed, and there are still multiple test data sets after pre-fusion.

[0081] In step S104, curve fitting is performed on the pre-fused test data set according to the preset confidence and survival rate to obtain three comprehensive curves of thermal strength parameters corresponding to the confidence and survival rate.

[0082] If there is a creep test data point outside the limited range in the pre-fused test data set, step S105 is executed, and if there is no creep test data point outside the limited range, step 106 is executed.

[0083] Assuming that the creep strength obeys a lognormal distribution and the standard deviation at each stress level is equal, the execution process of step S104 can include:

[0084] A1, according to the preset confidence and survival rate, the mean, the first deviation value and the second deviation value of the creep test data points corresponding to the same stress in the pre-fused test data set are calculated;

[0085] A2, according to the mean, the first deviation value and the second deviation value of the creep strength corresponding to different stresses, curve fitting is performed to obtain three comprehensive curves of thermal strength parameters corresponding to the confidence and survival rate.

[0086] The values of the confidence and the survival rate can be set as needed. The execution process of step S104 is described below with the confidence of 95% and the survival rate of ±3σ as an example.

[0087] It can be understood that in one or more pre-fused test data sets, there are multiple creep test data points, so for each stress, there are multiple creep test data points corresponding to the stress in the one or more pre-fused test data sets, for example, there are 5 creep test data points with a stress of 650MPa, and there are 9 creep test data points with a stress of 700MPa.

[0088] Therefore, in step A1, for each stress, the mean value, the first deviation value and the second deviation value of the creep strength corresponding to the stress can be calculated by using the creep strengths of the plurality of creep test data points corresponding to the stress in the pre-fused test data set.

[0089] Taking the stress of 700 MPa as an example, assuming that the stresses of 10 creep test data points in the pre-fused test data set are all 700 MPa, then the average value of the creep strengths of the 10 creep test data points can be calculated, and the result is P1(700 MPa).

[0090] Then, the first deviation value and the second deviation value of the creep strength corresponding to the stress of 700 MPa can be calculated by using the creep strengths of the 10 creep test data points according to the following formula (2):

[0091] lgP C，M = lgP1(700 MPa) + k C，M × B × σ (2).

[0092] In formula (2), P C，M represents the first deviation value or the second deviation value of the stress of 700 MPa calculated under the confidence C and the survival M, σ represents the standard deviation of the creep strengths of the 10 creep test data points with the stress of 700 MPa, B is a correction coefficient determined according to the standard deviation, and k C，M represents a one-sided tolerance coefficient calculated according to the survival rate and the confidence, when the one-sided tolerance coefficient is calculated according to the survival rate + 3σ, the result calculated by substituting the one-sided tolerance coefficient into formula (2) is the first deviation value of the stress of 700 MPa, which is denoted as P2(700 MPa), and when the one-sided tolerance coefficient is calculated according to the survival rate - 3σ, the result calculated by substituting the one-sided tolerance coefficient into formula (2) is the second deviation value of the stress of 700 MPa, which is denoted as P3(700 MPa).

[0093] The one-sided tolerance coefficient can be calculated by using the following formula (3).

[0094]

[0095] In formula (3), n represents the number of all samples in the pre-fused test data set, u M represents the standard normal deviation corresponding to the selected survival rate, and u C represents the standard normal deviation corresponding to the selected confidence, after the confidence and the survival rate are determined, the two parameters can be obtained by consulting the table related to the normal distribution.

[0096] When n is greater than 20, the correction coefficient B in formula (2) can be calculated by using the following formula (4).

[0097] B = 1 + 1 ÷ [4(n - 1)] (4).

[0098] By step A1, the average creep strength, the first deviation value and the second deviation value corresponding to different stresses can be calculated.

[0099] Then in step A2, the creep strength and stress formula (5) provided by the following Larson-Miller (LM) model can be used:

[0100] logσ=a0+a1P+a2P 2 +a3P 3 (5).

[0101] The average creep strength under different stresses is linearly regressed and fitted to obtain a comprehensive curve of thermal strength parameters, which is recorded as the average thermal strength parameter comprehensive curve; similarly, the first deviation value of the creep strength under different stresses is linearly regressed and fitted according to formula (5) to obtain a comprehensive curve of thermal strength parameters, which is recorded as the first thermal strength parameter comprehensive curve, and the second deviation value of the creep strength under different stresses is linearly regressed and fitted according to formula (5) to obtain a comprehensive curve of thermal strength parameters, which is recorded as the second thermal strength parameter comprehensive curve, thus obtaining three comprehensive curves of thermal strength parameters.

[0102] S105, deleting the creep test data points located outside the limited range from the pre-fused test data set.

[0103] The limited range is the range defined by the three comprehensive curves of thermal strength parameters.

[0104] After step S105 is executed, return to step S104 until there is no creep test data point located outside the limited range.

[0105] Optionally, deleting the creep test data points located outside the limited range from the pre-fused test data set, including:

[0106] If there is only one pre-fused test data set, deleting the creep test data points located outside the limited range;

[0107] If there are multiple pre-fused test data sets, deleting the creep test data points located outside the limited range and belonging to the small subsample test data set, and retaining the creep test data points located outside the limited range and belonging to the largest subsample test data set; wherein the small subsample test data set is the test data set in the multiple pre-fused test data sets except the largest subsample test data set, and the largest subsample test data set is the test data set in the multiple pre-fused test data sets with the largest subsample number.

[0108] In other words, when multiple pre-fused test datasets exist, if a creep test data point exists outside the defined range and does not belong to the largest subsample test dataset, then that creep test data point is deleted. If a creep test data point outside the defined range belongs to the largest subsample dataset, then that creep test data point is not deleted.

[0109] The above execution process can be found in [reference]. Figure 2 . Figure 2 (1) shows the three combined thermal intensity parameter curves obtained after the first execution of S104. It can be seen that the range enclosed by these three combined thermal intensity parameter curves in the coordinate system is the aforementioned defined range. Figure 2 As can be seen in (1), after obtaining the comprehensive curves of the three thermal strength parameters for the first time, there is a creep test data point outside the specified range. Therefore, according to step S105, this creep test data point outside the specified range is deleted. After deletion, S104 is executed again to obtain the following results. Figure 2 As shown in (2), the new composite curves of the three thermal strength parameters show that all creep test data points are located at this time. Figure 2 Within the range of the new three thermal intensity parameter composite curves shown in (2), S106 can be executed.

[0110] S106, combine the pre-fused test dataset to obtain the fused dataset.

[0111] In S106, if there is only one pre-fused test dataset, this pre-fused test dataset is directly determined as the fused dataset. If there are multiple pre-fused test datasets, the creep test data points in the multiple pre-fused test datasets are merged into one set, which is the fused dataset.

[0112] This application provides a method for fusing creep test data. The method includes: obtaining multiple test datasets (including multiple creep test data points obtained from creep tests) corresponding to different specimens; if the multiple test datasets meet the merging conditions, performing pre-fusion based on the number of samples in each test dataset (i.e., the number of creep test data points contained in the test dataset); performing curve fitting using the pre-fused test dataset to obtain three comprehensive thermal strength parameter curves; deleting creep test data points outside the defined range and fitting again, with the defined range being the range defined by the three comprehensive thermal strength parameter curves; repeating this process until all creep test data points fall within the specified range, and then merging the pre-fused test datasets into a fused dataset. This solution merges multiple test datasets into a fused dataset, expanding the amount of data used for creep strength curve fitting and improving the accuracy of the fitted curves.

[0113] According to the fusion method of the creep test data provided in the embodiments of the present application, the embodiments of the present application further provide a fusion device of the creep test data, please refer to Figure 3 , which is a structural schematic diagram of the device. The device can include the following units.

[0114] The obtaining unit 301 is configured to obtain a plurality of test data sets, wherein each test data set corresponds to a sample, and the test data set includes a plurality of creep test data points obtained by performing a creep test on the corresponding sample.

[0115] The detection unit 302 is configured to detect whether the plurality of test data sets meet a merging condition.

[0116] The pre-fusion unit 303 is configured to, if the plurality of test data sets meet the merging condition, pre-fuse the test data sets according to the number of sub-samples of each test data set, wherein the number of sub-samples of the test data set is the number of creep test data points included in the test data set.

[0117] The fitting unit 304 is configured to perform curve fitting on the pre-fused test data set according to a preset confidence level and survival rate, to obtain three comprehensive curves of thermal strength parameters corresponding to the confidence level and the survival rate.

[0118] The deletion unit 305 is configured to, if there is a creep test data point located outside a limited range in the pre-fused test data set, delete the creep test data point located outside the limited range from the pre-fused test data set, wherein the limited range is a range defined by the three comprehensive curves of thermal strength parameters.

[0119] The fitting unit 304 is configured to return to performing the curve fitting on the pre-fused test data set according to the preset confidence level and survival rate, to obtain the three comprehensive curves of thermal strength parameters corresponding to the confidence level and the survival rate, until there is no creep test data point located outside the limited range in the pre-fused test data set.

[0120] The merging unit 306 is configured to merge the pre-fused test data set to obtain a fused data set.

[0121] Optionally, when the pre-fusion unit 303 pre-fuses the test data sets according to the number of sub-samples of each test data set, the pre-fusion unit 303 is specifically configured to:

[0122] If the difference between the number of sub-samples of each test data set is within a preset difference range, pre-fuse each test data set.

[0123] If the difference between the number of sub-samples of each test data set is outside the difference range, pre-fuse the test data set whose number of sub-samples is less than a preset proportion of the maximum number of sub-samples to the test data set with the maximum number of sub-samples.

[0124] Optionally, when the detection unit 302 detects whether the plurality of test data sets meet the merging condition, the detection unit 302 is specifically configured to:

[0125] detect whether the samples corresponding to the plurality of test data sets are from the same furnace batch;

[0126] if the samples corresponding to the plurality of test data sets are from the same furnace batch, determine that the plurality of test data sets meet the merging condition;

[0127] if the samples corresponding to the plurality of test data sets are from different furnace batches, determine that the plurality of test data sets do not meet the merging condition.

[0128] Optionally, when the fitting unit 304 performs curve fitting on the pre-fused test data set according to the preset confidence and survival rate to obtain three thermal strength parameter comprehensive curves corresponding to the confidence and survival rate, the fitting unit 304 is specifically configured to:

[0129] calculate the mean, the first deviation value, and the second deviation value of the creep strength of the creep test data points corresponding to the same stress in the pre-fused test data set according to the preset confidence and survival rate;

[0130] perform curve fitting on the mean, the first deviation value, and the second deviation value of the creep strength corresponding to different stresses to obtain three thermal strength parameter comprehensive curves corresponding to the confidence and survival rate.

[0131] Optionally, when the deletion unit 305 deletes the creep test data points located outside the limited range from the pre-fused test data set, the deletion unit 305 is specifically configured to:

[0132] if there is only one pre-fused test data set, delete the creep test data points located outside the limited range;

[0133] if there are a plurality of pre-fused test data sets, delete the creep test data points located outside the limited range and belonging to the small subsample test data set, and retain the creep test data points located outside the limited range and belonging to the largest subsample test data set; wherein the small subsample test data set is a test data set in the plurality of pre-fused test data sets, except for the largest subsample test data set, and the largest subsample test data set is a test data set in the plurality of pre-fused test data sets, which has the largest number of subsamples.

[0134] The creep test data fusion device provided in this embodiment has the specific working principle that can be referred to the related steps in the creep test data fusion method provided in any embodiment of the present application, which will not be described here again.

[0135] The application provides a creep test data fusion device, comprising: an obtaining unit 301, configured to obtain a plurality of test data sets; each test data set corresponds to a sample; the test data set comprises a plurality of creep test data points obtained by performing a creep test on the corresponding sample; a detection unit 302, configured to detect whether the plurality of test data sets meet a merging condition; a pre-fusion unit 303, configured to, if the plurality of test data sets meet the merging condition, perform pre-fusion according to the number of sub-samples of each test data set; the number of sub-samples of the test data set is the number of creep test data points contained in the test data set; a fitting unit 304, configured to perform curve fitting on the pre-fused test data set according to a preset confidence and survival rate, to obtain three comprehensive curves of thermal strength parameters corresponding to the confidence and the survival rate; a deletion unit 305, configured to, if there is a creep test data point outside a limited range in the pre-fused test data set, delete the creep test data point outside the limited range from the pre-fused test data set; the limited range is a range defined by the three comprehensive curves of thermal strength parameters; the fitting unit 304 is configured to return to performing the curve fitting on the pre-fused test data set according to the preset confidence and survival rate, to obtain the three comprehensive curves of thermal strength parameters corresponding to the confidence and the survival rate, until there is no creep test data point outside the limited range in the pre-fused test data set; and a merging unit 306, configured to merge the pre-fused test data set to obtain a fused data set. The plurality of test data sets are merged into the fused data set, the amount of data used for creep strength curve fitting is expanded, and the accuracy of the fitted curve is improved.

[0136] Finally, it needs to be further noted that, in the present document, the terms such as first and second, etc. are merely used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or sequence between these entities or operations. Also, the terms "include", "contain" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or device. Without more limitations, the element defined by the statement "including a" does not exclude the presence of another identical element in the process, method, article or device including the element.

[0137] It should be noted that the terms "first", "second", etc. mentioned in the present application are only used to distinguish different devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules or units.

[0138] Those skilled in the art could make or employ the present application without undue experimentation having regard to the detailed description herein. Various modifications can be made to the embodiments described herein, and the generic principles illustrated herein can be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for fusing creep test data, characterized in that, include: Multiple test datasets are obtained; each test dataset corresponds to a specimen; the test dataset includes multiple creep test data points obtained by performing creep tests on the corresponding specimen; Check whether the multiple test datasets meet the merging criteria; If the multiple test datasets meet the merging criteria, pre-fusion is performed based on the number of samples in each test dataset; wherein, the number of samples in the test dataset is the number of creep test data points contained in the test dataset; Based on the preset confidence level and survival rate, curve fitting is performed on the pre-fused test dataset to obtain three comprehensive curves of thermal intensity parameters corresponding to the confidence level and survival rate; If there are creep test data points outside the defined range in the pre-fused test dataset, delete the creep test data points outside the defined range from the pre-fused test dataset; wherein, the defined range is the range defined by the comprehensive curve of the three thermal intensity parameters; Return to the step of performing curve fitting on the pre-fused test dataset based on the preset confidence level and survival rate to obtain a comprehensive curve of three thermal intensity parameters corresponding to the confidence level and survival rate, until there are no creep test data points outside the defined range in the pre-fused test dataset; Combine the pre-fused test datasets to obtain the fused dataset; The process involves curve fitting the pre-fused test dataset based on preset confidence levels and survival rates to obtain three comprehensive curves of thermal intensity parameters corresponding to the confidence levels and survival rates, including: Based on the preset confidence level and survival rate, calculate the mean, first deviation, and second deviation values ​​of the creep strength of creep test data points corresponding to the same stress in the pre-fused test dataset; Based on the mean, first deviation, and second deviation values ​​of creep strength corresponding to different stresses, curve fitting is performed to obtain three comprehensive curves of thermal strength parameters corresponding to the confidence level and survival rate. The step of deleting creep test data points outside the defined range from the pre-fused test dataset includes: If there is only one pre-fused test dataset, delete the creep test data points that are outside the specified range; If multiple pre-fused test datasets exist, delete creep test data points that are outside the defined range and belong to the small sample test dataset, and retain creep test data points that are outside the defined range and belong to the largest sample test dataset; wherein, the small sample test dataset is the test dataset other than the largest sample test dataset among the multiple pre-fused test datasets, and the largest sample test dataset is the test dataset with the largest number of samples among the multiple pre-fused test datasets.

2. The method according to claim 1, characterized in that, The pre-fusion based on the number of samples in each of the experimental datasets includes: If the difference in the number of samples between the various experimental datasets is within a preset difference range, the various experimental datasets will be pre-fused. If the difference in the number of samples between the various test datasets is outside the range of the difference, the test datasets with a sample number less than a preset proportion of the maximum sample number are pre-fused into the test dataset with the maximum sample number.

3. The method according to claim 1, characterized in that, The detection of whether the multiple test datasets meet the merging criteria includes: To determine whether the samples corresponding to the multiple test datasets come from the same batch; If the samples corresponding to the multiple test datasets come from the same batch, the multiple test datasets are determined to meet the merging criteria. If the samples corresponding to the multiple test datasets come from different furnace batches, it is determined that the multiple test datasets do not meet the merging criteria.

4. A device for fusing creep test data, characterized in that, include: The unit is configured to acquire multiple test datasets; each test dataset corresponds to a specimen; the test dataset includes multiple creep test data points obtained by performing creep tests on the corresponding specimen; A detection unit is used to detect whether the multiple test datasets meet the merging conditions; A pre-fusion unit is used to perform pre-fusion based on the number of samples in each of the multiple test datasets if the multiple test datasets meet the merging conditions; wherein, the number of samples in the test dataset is the number of creep test data points contained in the test dataset; The fitting unit is used to perform curve fitting on the pre-fused test dataset according to the preset confidence level and survival rate to obtain three comprehensive curves of thermal intensity parameters corresponding to the confidence level and survival rate. The deletion unit is used to delete creep test data points outside the defined range from the pre-fused test dataset if there are creep test data points outside the defined range; wherein, the defined range is the range defined by the comprehensive curve of the three thermal intensity parameters; The fitting unit is used to return to the step of performing curve fitting on the pre-fused test dataset according to the preset confidence level and survival rate to obtain a comprehensive curve of three thermal intensity parameters corresponding to the confidence level and survival rate, until there are no creep test data points outside the limited range in the pre-fused test dataset. The merging unit is used to combine the pre-fused experimental datasets to obtain a fused dataset. The fitting unit performs curve fitting on the pre-fused test dataset based on preset confidence levels and survival rates to obtain a comprehensive curve of three thermal intensity parameters corresponding to the confidence levels and survival rates. Specifically, this is used for: Based on the preset confidence level and survival rate, calculate the mean, first deviation, and second deviation values ​​of the creep strength of creep test data points corresponding to the same stress in the pre-fused test dataset; Based on the mean, first deviation, and second deviation values ​​of creep strength corresponding to different stresses, curve fitting is performed to obtain three comprehensive curves of thermal strength parameters corresponding to the confidence level and survival rate. When the deletion unit deletes creep test data points located outside the defined range from the pre-fused test dataset, it is specifically used for: If there is only one pre-fused test dataset, delete the creep test data points that are outside the specified range; If multiple pre-fused test datasets exist, delete creep test data points that are outside the defined range and belong to the small sample test dataset, and retain creep test data points that are outside the defined range and belong to the largest sample test dataset; wherein, the small sample test dataset is the test dataset other than the largest sample test dataset among the multiple pre-fused test datasets, and the largest sample test dataset is the test dataset with the largest number of samples among the multiple pre-fused test datasets.

5. The apparatus according to claim 4, characterized in that, When the pre-fusion unit performs pre-fusion based on the number of samples in each of the test datasets, it is specifically used for: If the difference in the number of samples between the various experimental datasets is within a preset difference range, the various experimental datasets will be pre-fused. If the difference in the number of samples between the various test datasets is outside the range of the difference, the test datasets with a sample number less than a preset proportion of the maximum sample number are pre-fused into the test dataset with the maximum sample number.

6. The apparatus according to claim 4, characterized in that, When the detection unit detects whether the multiple test datasets meet the merging conditions, it is specifically used for: To determine whether the samples corresponding to the multiple test datasets come from the same batch; If the samples corresponding to the multiple test datasets come from the same batch, the multiple test datasets are determined to meet the merging criteria. If the samples corresponding to the multiple test datasets come from different furnace batches, it is determined that the multiple test datasets do not meet the merging criteria.

Images