CN116013440A - Fusion method and device of creep test data - Google Patents
Fusion method and device of creep test data Download PDFInfo
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Abstract
The application provides a method and a device for fusing creep test data, wherein the method comprises the steps of obtaining a plurality of test data sets corresponding to different samples (comprising a plurality of creep test data points obtained by a creep test); if the multiple test data sets meet the merging condition, pre-fusing according to the subsamples of each test data set (namely the number of creep test data points contained in the test data set); performing curve fitting by using the pre-fused test data set to obtain three heat intensity parameter comprehensive curves; and after deleting the creep test data points which are positioned outside the limiting range, fitting again, wherein the limiting range is defined by three thermal intensity parameter comprehensive curves, repeating the process until all the creep test data points fall within the designated range, and merging the pre-fused test data sets into a fusion data set. According to the scheme, a plurality of test data sets are combined to form the fusion data set, the data volume for creep strength curve fitting is expanded, and the accuracy of a curve obtained by fitting is improved.
Description
Technical Field
The invention relates to the technical field of high-temperature mechanical properties of metal materials, in particular to a method and a device for fusing creep test data.
Background
Creep of a metal refers to the phenomenon that strain increases with time under the action of continuous stress of a material. And, the higher the temperature of the working environment of the metal part, the more remarkable this phenomenon. Creep damage is therefore a major cause of limiting the fatigue life of metal components operating in high temperature environments for long periods of time, such as hot end components of aircraft engines (meaning components of engines operating in high temperature environments, such as turbine stator and rotor blades).
The creep properties of metals of engineering high temperature materials are mainly expressed by creep strength. Creep strength can be measured by tests, but these tests often require tens of hundreds or even thousands of hours, and thus the cost of time and expense is significant. In order to save cost, it is common to perform only a small number of tests when the creep strength is measured, and to obtain a creep strength curve by means of curve fitting based on a small number of test data, which results in a lower accuracy of the obtained creep strength curve.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a method and a device for fusing creep test data so as to provide a low-cost high-temperature creep performance prediction method.
The first aspect of the present application provides a method for fusing creep test data, including:
obtaining a plurality of test data sets; wherein 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 a corresponding sample;
detecting whether the plurality of test data sets meet a combination condition;
if the multiple test data sets meet the merging condition, pre-fusing according to the subsamples of each test data set; wherein the subsamples of the test dataset are the number of creep test data points contained in the test dataset;
performing curve fitting on the pre-fused test data set according to the preset confidence coefficient and the pre-fused survival rate to obtain three heat intensity parameter comprehensive curves corresponding to the confidence coefficient and the pre-fused survival rate;
if the pre-fused test data set has creep test data points outside the limiting range, deleting the creep test data points outside the limiting range from the pre-fused test data set; wherein the limiting range is a range limited by the three thermal intensity parameter comprehensive curves;
returning to execute the step of curve fitting the pre-fused test data set according to the preset confidence coefficient and the preset survival rate to obtain three heat intensity parameter comprehensive curves corresponding to the confidence coefficient and the preset survival rate until no creep test data points outside a limiting range exist in the pre-fused test data set;
and obtaining a fusion data set from the pre-fused test data set.
Optionally, the pre-fusing is performed according to sub-samples of each test dataset, including:
if the difference value of the subsamples among the test data sets is within a preset difference value range, pre-fusing the test data sets;
and if the difference value of the subsamples among the test data sets is out of the difference value range, pre-fusing the test data sets with the subsamples which are less than the preset proportion of the maximum subsamples into the test data set with the maximum subsamples.
Optionally, the detecting whether the plurality of test data sets meet a merging condition includes:
detecting whether the samples corresponding to the plurality of test data sets are from the same furnace batch;
if the samples corresponding to the plurality of test data sets come from the same furnace batch, determining that the plurality of test data sets meet the merging condition;
and if the samples corresponding to the plurality of test data sets come from different furnace batches, determining that the plurality of test data sets do not meet the merging condition.
Optionally, the curve fitting is performed on the pre-fused test data set according to a preset confidence coefficient and a preset survival rate, so as to obtain three heat intensity parameter comprehensive curves corresponding to the confidence coefficient and the survival rate, including:
calculating the average value, 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 coefficient and the survival rate;
and performing curve fitting according to the average value, the first deviation value and the second deviation value of creep strength corresponding to different stresses to obtain three heat intensity parameter comprehensive curves corresponding to the confidence coefficient and the survival rate.
Optionally, deleting creep test data points located outside the defined range from the pre-fused test data set includes:
if only one pre-fused test data set exists, deleting creep test data points which are located outside a limited range;
if a plurality of pre-fused test data sets exist, deleting creep test data points which are located outside a limiting range and belong to small sub-sample test data sets, and retaining the creep test data points which are located outside the limiting range and belong to the largest sub-sample test data set; the small sub-sample test data sets are test data sets after being pre-fused, and the largest sub-sample test data set is a test data set with the largest sub-sample number in the test data sets after being pre-fused, except the largest sub-sample test data set.
A second aspect of the present application provides a fusion device for creep test data, comprising:
an obtaining unit for obtaining a plurality of test data sets; wherein 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 a corresponding sample;
a detection unit for detecting whether the plurality of test data sets meet a combination condition;
a pre-fusion unit, configured to pre-fuse the plurality of test data sets according to the subsamples of each test data set if the plurality of test data sets meet a merging condition; wherein the subsamples of the test dataset are the number of creep test data points contained in the test dataset;
the fitting unit is used for performing curve fitting on the pre-fused test data set according to the preset confidence coefficient and the pre-fused survival rate to obtain three heat intensity parameter comprehensive curves corresponding to the confidence coefficient and the pre-fused survival rate;
a deleting unit, configured to delete, if the pre-fused test data set has a creep test data point that is outside the defined range, the creep test data point that is outside the defined range from the pre-fused test data set; wherein the limiting range is a range limited by the three thermal intensity parameter comprehensive curves;
the fitting unit is used for carrying out curve fitting on the pre-fused test data set according to the preset confidence coefficient and the survival rate in a returning mode, and obtaining three heat intensity parameter comprehensive curve steps corresponding to the confidence coefficient and the survival rate until no creep test data points outside a limiting range exist in the pre-fused test data set;
and the merging unit is used for merging the pre-merged test data sets and obtaining a merged data set.
Optionally, the pre-fusion unit is specifically configured to, when performing pre-fusion according to the subsamples of each test dataset:
if the difference value of the subsamples among the test data sets is within a preset difference value range, pre-fusing the test data sets;
and if the difference value of the subsamples among the test data sets is out of the difference value range, pre-fusing the test data sets with the subsamples which are less than the preset proportion of the maximum subsamples into the test data set with the maximum subsamples.
Optionally, the detecting unit detects whether the multiple test data sets meet a combination condition, and is specifically configured to:
detecting whether the samples corresponding to the plurality of test data sets are from the same furnace batch;
if the samples corresponding to the plurality of test data sets come from the same furnace batch, determining that the plurality of test data sets meet the merging condition;
and if the samples corresponding to the plurality of test data sets come from different furnace batches, determining that the plurality of test data sets do not meet the merging condition.
Optionally, the fitting unit performs curve fitting on the pre-fused test data set according to a preset confidence coefficient and a preset survival rate, and is specifically configured to:
calculating the average value, 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 coefficient and the survival rate;
and performing curve fitting according to the average value, the first deviation value and the second deviation value of creep strength corresponding to different stresses to obtain three heat intensity parameter comprehensive curves corresponding to the confidence coefficient and the survival rate.
Optionally, the deleting unit is specifically configured to, when deleting creep test data points located outside a defined range from the pre-fused test data set:
if only one pre-fused test data set exists, deleting creep test data points which are located outside a limited range;
if a plurality of pre-fused test data sets exist, deleting creep test data points which are located outside a limiting range and belong to small sub-sample test data sets, and retaining the creep test data points which are located outside the limiting range and belong to the largest sub-sample test data set; the small sub-sample test data sets are test data sets after being pre-fused, and the largest sub-sample test data set is a test data set with the largest sub-sample number in the test data sets after being pre-fused, except the largest sub-sample test data set.
The application provides a method and a device for fusing creep test data, wherein the method comprises the steps of obtaining a plurality of test data sets corresponding to different samples (comprising a plurality of creep test data points obtained by a creep test); if the multiple test data sets meet the merging condition, pre-fusing according to the subsamples of each test data set (namely the number of creep test data points contained in the test data set); performing curve fitting by using the pre-fused test data set to obtain three heat intensity parameter comprehensive curves; and after deleting the creep test data points which are positioned outside the limiting range, fitting again, wherein the limiting range is defined by three thermal intensity parameter comprehensive curves, repeating the process until all the creep test data points fall within the designated range, and merging the pre-fused test data sets into a fusion data set. According to the scheme, a plurality of test data sets are combined to form the fusion data set, the data volume for creep strength curve fitting is expanded, and the accuracy of a curve obtained by fitting is improved.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present invention, and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for fusing creep test data provided in an embodiment of the present application;
FIG. 2 is a schematic diagram of a heat intensity integrated curve according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a creep test data fusion device according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, a flowchart of a method for fusing creep test data according to an embodiment of the present application is provided, and the method may include the following steps.
S101, obtaining a plurality of test data sets.
Wherein each test dataset corresponds to a sample; the test data set includes a plurality of creep test data points obtained by performing a creep test on a corresponding specimen.
Each creep test data point includes a stress Sig and a 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 equation (1):
P(Sig)＝T(c+lgt) (1)。
in the formula (1), T represents the temperature of the sample at the time of the creep test, and T represents the creep rupture life of the sample.
C in equation (1) can be determined as follows:
a linear regression fit is performed on the following equation (1.5) using creep test data in a plurality of test data sets to determine the coefficient b in the equation 1 To b 5 Then the value of b therein 1 The opposite number of (c) is defined as c of equation (1).
In the formula (1.5), T is absolute temperature, T is creep rupture life, and x is the logarithm of the stress based on 10, that is, x=lg (Sig).
S102, detecting whether a plurality of test data sets meet merging conditions.
If the multiple test data sets meet the merging condition, step S103 is executed, and if the multiple test data sets do not meet the merging condition, the embodiment ends.
Optionally, the performing of step S102 may include:
detecting whether the samples corresponding to the plurality of test data sets come from the same furnace batch;
if the samples corresponding to the plurality of test data sets come from the same furnace batch, determining that the plurality of test data sets accord with the merging condition;
and if the samples corresponding to the plurality of test data sets come from different furnace batches, determining that the plurality of test data sets do not meet the merging condition.
The samples corresponding to the plurality of test data sets are from the same furnace batch, namely, the samples are formed by forging materials generated by the same forging furnace in the same batch, whereas, from different furnace batches, namely, the materials used by the samples are from different forging furnaces or from different batches of the same forging furnace.
When the samples corresponding to the plurality of test data sets are from different furnace batches, the materials of the samples are different in chemical composition, heat treatment process and the like, and the differences can cause significant differences in sample structures, grain sizes, basic mechanical properties (tensile strength and the like) from the different furnace batches, so that creep test data points obtained by testing the samples of the different furnace batches are not suitable to be fused in the case.
S103, pre-fusion is carried out according to the subsamples of each test dataset.
Wherein the subsamples of the test dataset are the number of creep test data points contained in the test dataset.
Optionally, pre-fusing is performed according to the subsamples of each test dataset, including:
if the difference value of the subsamples among the test data sets is within a preset difference value range, pre-fusing the test data sets;
and if the difference value of the subsamples among the test data sets is out of the difference value range, pre-fusing the test data sets with the subsamples less than the preset proportion of the maximum subsamples into the test data set with the maximum subsamples.
The predetermined difference range may be 15% of the maximum subsamples in each test dataset.
That is, assuming that the sub-sample number of the test dataset having the largest sub-sample among the respective test datasets is Smax, the preset difference range is 15% Smax.
The preset ratio may be set to 15%, or may be set to another value, without limitation.
In step S103, if the difference between the subsamples of each test dataset is within 15% smax of the preset difference range, each test dataset may be directly pre-fused to obtain a pre-fused test dataset.
If there are at least two test data sets with sub-samples differing by more than 15% smax and test data sets with sub-samples less than 15% smax between each test data set, then these test data sets with sub-samples less than 15% smax are directly combined into the test data set with the largest sub-sample, and when pre-fusion is performed in this way, there will still be multiple test data sets after pre-fusion.
And S104, performing curve fitting on the pre-fused test data set according to the preset confidence coefficient and the pre-fused survival rate to obtain three heat intensity parameter comprehensive curves corresponding to the confidence coefficient and the pre-fused survival rate.
If the pre-fused test data set has creep test data points outside the limited range, step S105 is executed, and if the pre-fused test data set has no creep test data points outside the limited range, step S106 is executed.
Assuming that the creep strength is subject to the lognormal distribution and the standard deviation is equal at each stress level, the performing of step S104 may include:
a1, calculating the average value, the first deviation value and the second deviation value of creep strength of creep test data points corresponding to the same stress in the pre-fused test data set according to the preset confidence coefficient and the survival rate;
and A2, performing curve fitting according to the average value, the first deviation value and the second deviation value of creep strength corresponding to different stresses to obtain three heat intensity parameter comprehensive curves corresponding to the confidence coefficient and the survival rate.
The confidence and survival rate values may be set as needed, and the execution of step S104 will be described below with the confidence of 95% and survival rate of ±3σ as examples.
It will be appreciated that there are a plurality of creep test data points in one or more test data sets after pre-fusion, and thus for each stress there will be a plurality of creep test data points corresponding to that stress in one or more test data sets after pre-fusion, for example, there may be a stress of 650MPa for each of 5 creep test data points and a stress of 700MPa for each of 9 creep test data points.
Therefore, in step A1, for each stress, the average value, the first deviation value and the second deviation value of the creep strength corresponding to the stress may 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.
Taking 700MPa as an example, assuming that the stress of 10 creep test data points in the test data set after pre-fusion is 700MPa, the average value of the creep strengths of the 10 creep test data points can be calculated, and the obtained result is P1 (700 MPa).
Then, the following formula (2) is utilized, and a first deviation value and a second deviation value of the creep strength corresponding to 700MPa stress are obtained according to the calculation of the creep strength of the 10 creep test data points:
lgP C，M ＝lgP1(700MPa)+k C，M ×B×σ (2)。
in the formula (2), P C，M Representing the first or second bias value of 700MPa stress calculated at confidence level C and survival M, sigma representing the standard deviation of creep strength of the 10 creep test data points with stress of 700MPa, B being the correction coefficient determined from the standard deviation, k C，M The single-sided tolerance coefficient calculated from the survival rate and the confidence coefficient is represented, and when the single-sided tolerance coefficient is calculated from the survival rate +3σ, the result calculated by substituting the single-sided tolerance coefficient into the formula (2) is a first deviation value of 700MPa stress, which is denoted as P2 (700 MPa), and when the single-sided tolerance coefficient is calculated from the survival rate-3σ, the result calculated by substituting the single-sided tolerance coefficient into the formula (2) is a second deviation value of 700MPa stress, which is denoted as P3 (700 MPa).
The one-sided tolerance coefficient can be calculated using the following formula (3).
In the formula (3), n represents the number of all subsamples in the test dataset after pre-fusion, u M Represents the standard normal deviation corresponding to the selected survival rate, u C Representation corresponding to the selected confidence levelAfter confidence and survival are determined, these two parameters can be obtained by querying a table of normal distribution correlations.
When n is greater than 20, the correction coefficient B in the formula (2) can be calculated using the following formula (4).
B＝1+1÷[4(n-1)] (4)。
Through the step A1, creep strength average values corresponding to different stresses can be obtained through calculation, and the first deviation value and the second deviation value are obtained.
Then in step A2, the creep strength and stress can be expressed according to equation (5) provided by the following larsen-Mi Lieer (Larson-Miller, LM) model:
logσ＝a 0 +a 1 P+a 2 P 2 +a 3 P 3 (5)。
performing linear regression fitting on the creep strength average values under different stresses to obtain a heat intensity parameter comprehensive curve, and recording the heat intensity parameter comprehensive curve as an average heat intensity parameter comprehensive curve; similarly, performing linear regression fit on the first deviation values of the creep strengths under different stresses according to the formula (5) to obtain a thermal strength parameter comprehensive curve, marking the thermal strength parameter comprehensive curve as a first thermal strength parameter comprehensive curve, and performing linear regression fit on the second deviation values of the creep strengths under different stresses according to the formula (5) to obtain a thermal strength parameter comprehensive curve, marking the thermal strength parameter comprehensive curve as a second thermal strength parameter comprehensive curve, thereby obtaining three thermal strength parameter comprehensive curves.
S105, deleting creep test data points which are located outside a limited range from the test data set after pre-fusion.
Wherein, the limiting range is the range limited by three heat intensity parameter comprehensive curves.
After step S105 is performed, step S104 is performed back until no creep test data points exist that are outside the defined range.
Optionally, deleting creep test data points outside the defined range from the pre-fused test data set includes:
if only one pre-fused test data set exists, deleting creep test data points which are located outside a limited range;
if a plurality of pre-fused test data sets exist, deleting creep test data points which are located outside a limiting range and belong to small sub-sample test data sets, and retaining the creep test data points which are located outside the limiting range and belong to the largest sub-sample test data set; the small sub-sample test data sets are test data sets after being pre-fused, and the test data sets except the largest sub-sample test data set are test data sets after being pre-fused, and the largest sub-sample test data set is the test data set with the largest sub-sample number.
That is, when there are a plurality of pre-fused test data sets, if there are creep test data points that lie outside of a defined range and that do not belong to the largest subsampled test data set, this creep test data point is deleted. If a creep test data point lying outside the defined range belongs to the largest subsampled data set, the creep test data point is not deleted.
The above execution can be seen in fig. 2. Fig. 2 (1) shows three thermal intensity parameter synthesis curves obtained after S104 is performed for the first time, it can be seen that the range enclosed by the three thermal intensity parameter synthesis curves in the coordinate system is the above-mentioned limited range, after fig. 2 (1) shows that after the three thermal intensity parameter synthesis curves are obtained for the first time, there is one creep test data point located outside the limited range, then the creep test data point located outside the limited range is deleted according to step S105, S104 is performed again after deletion, so as to obtain a new three thermal intensity parameter synthesis curve as shown in fig. 2 (2), it can be seen that all creep test data points are located within the limited range of the new three thermal intensity parameter synthesis curves as shown in fig. 2 (2), and then S106 can be performed.
S106, the pre-fused test data set is obtained, and a fused data set is obtained.
In S106, if there is only one pre-fused test dataset, this pre-fused test dataset is directly determined as a fused dataset, and if there are multiple pre-fused test datasets, the creep test data points in the multiple pre-fused test datasets are combined into one set, which is the fused dataset.
The application provides a fusion method of creep test data, which comprises the steps of obtaining a plurality of test data sets corresponding to different samples (including a plurality of creep test data points obtained by a creep test); if the multiple test data sets meet the merging condition, pre-fusing according to the subsamples of each test data set (namely the number of creep test data points contained in the test data set); performing curve fitting by using the pre-fused test data set to obtain three heat intensity parameter comprehensive curves; and after deleting the creep test data points which are positioned outside the limiting range, fitting again, wherein the limiting range is defined by three thermal intensity parameter comprehensive curves, repeating the process until all the creep test data points fall within the designated range, and merging the pre-fused test data sets into a fusion data set. According to the scheme, a plurality of test data sets are combined to form the fusion data set, the data volume for creep strength curve fitting is expanded, and the accuracy of a curve obtained by fitting is improved.
According to the method for fusing creep test data provided in the embodiment of the present application, the embodiment of the present application further provides a device for fusing creep test data, please refer to fig. 3, which is a schematic structural diagram of the device, and the device may include the following units.
An obtaining unit 301 for obtaining a plurality of test data sets; wherein each test dataset corresponds to a sample; the test data set comprises a plurality of creep test data points obtained by performing a creep test on a corresponding sample;
a detection unit 302, configured to detect whether the multiple test data sets meet the merging condition;
a pre-fusion unit 303, configured to pre-fuse, according to the subsamples of each test dataset, if the plurality of test datasets meet the merging condition; wherein the subsamples of the test dataset are the number of creep test data points contained in the test dataset;
the fitting unit 304 is configured to perform curve fitting on the pre-fused test data set according to a preset confidence coefficient and a preset survival rate, so as to obtain three heat intensity parameter comprehensive curves corresponding to the confidence coefficient and the survival rate;
a deleting unit 305, configured to delete, if there are creep test data points located outside the defined range in the pre-fused test data set, the creep test data points located outside the defined range from the pre-fused test data set; the limiting range is defined by three heat intensity parameter comprehensive curves;
a fitting unit 304, configured to perform curve fitting on the pre-fused test data set according to a preset confidence coefficient and survival rate, so as to obtain three heat intensity parameter integrated curves corresponding to the confidence coefficient and the survival rate, until no creep test data points outside the defined range exist in the pre-fused test data set;
and the merging unit 306 is used for merging the pre-merged test data set and obtaining a merged data set.
Optionally, the pre-fusion unit 303 is specifically configured to, when performing pre-fusion according to the subsamples of each test dataset:
if the difference value of the subsamples among the test data sets is within a preset difference value range, pre-fusing the test data sets;
and if the difference value of the subsamples among the test data sets is out of the difference value range, pre-fusing the test data sets with the subsamples less than the preset proportion of the maximum subsamples into the test data set with the maximum subsamples.
Optionally, when the detecting unit 302 detects whether the multiple test data sets meet the merging condition, the detecting unit is specifically configured to:
detecting whether the samples corresponding to the plurality of test data sets come from the same furnace batch;
if the samples corresponding to the plurality of test data sets come from the same furnace batch, determining that the plurality of test data sets accord with the merging condition;
and if the samples corresponding to the plurality of test data sets come from different furnace batches, determining that the plurality of test data sets do not meet the merging condition.
Optionally, the fitting unit 304 performs curve fitting on the pre-fused test data set according to a preset confidence coefficient and a preset survival rate, and is specifically configured to:
calculating the average value, 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 coefficient and the survival rate;
and performing curve fitting according to the average value, the first deviation value and the second deviation value of creep strength corresponding to different stresses to obtain three heat intensity parameter comprehensive curves corresponding to the confidence coefficient and the survival rate.
Optionally, the deleting unit 305 is specifically configured to, when deleting creep test data points located outside the defined range from the pre-fused test data set:
if only one pre-fused test data set exists, deleting creep test data points which are located outside a limited range;
if a plurality of pre-fused test data sets exist, deleting creep test data points which are located outside a limiting range and belong to small sub-sample test data sets, and retaining the creep test data points which are located outside the limiting range and belong to the largest sub-sample test data set; the small sub-sample test data sets are test data sets after being pre-fused, and the test data sets except the largest sub-sample test data set are test data sets after being pre-fused, and the largest sub-sample test data set is the test data set with the largest sub-sample number.
The specific working principle of the creep test data fusion device provided in this embodiment may refer to relevant steps in the creep test data fusion method provided in any embodiment of the present application, which is not described herein again.
The application provides a fusion device of creep test data, which comprises an obtaining unit 301, a fusion device and a fusion device, wherein the obtaining unit is used for obtaining a plurality of test data sets; wherein each test dataset corresponds to a sample; the test data set comprises a plurality of creep test data points obtained by performing a creep test on a corresponding sample; a detection unit 302, configured to detect whether the multiple test data sets meet the merging condition; a pre-fusion unit 303, configured to pre-fuse, according to the subsamples of each test dataset, if the plurality of test datasets meet the merging condition; wherein the subsamples of the test dataset are the number of creep test data points contained in the test dataset; the fitting unit 304 is configured to perform curve fitting on the pre-fused test data set according to a preset confidence coefficient and a preset survival rate, so as to obtain three heat intensity parameter comprehensive curves corresponding to the confidence coefficient and the survival rate; a deleting unit 305, configured to delete, if there are creep test data points located outside the defined range in the pre-fused test data set, the creep test data points located outside the defined range from the pre-fused test data set; the limiting range is defined by three heat intensity parameter comprehensive curves; a fitting unit 304, configured to perform curve fitting on the pre-fused test data set according to a preset confidence coefficient and survival rate, so as to obtain three heat intensity parameter integrated curves corresponding to the confidence coefficient and the survival rate, until no creep test data points outside the defined range exist in the pre-fused test data set; and the merging unit 306 is used for merging the pre-merged test data set and obtaining a merged data set. According to the scheme, a plurality of test data sets are combined to form the fusion data set, the data volume for creep strength curve fitting is expanded, and the accuracy of a curve obtained by fitting is improved.
Finally, it is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
It should be noted that the terms "first," "second," and the like herein are merely used for distinguishing between different devices, modules, or units and not for limiting the order or interdependence of the functions performed by such devices, modules, or units.
Those skilled in the art can make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may 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 (10)
1. A method of fusing creep test data, comprising:
obtaining a plurality of test data sets; wherein 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 a corresponding sample;
detecting whether the plurality of test data sets meet a combination condition;
if the multiple test data sets meet the merging condition, pre-fusing according to the subsamples of each test data set; wherein the subsamples of the test dataset are the number of creep test data points contained in the test dataset;
performing curve fitting on the pre-fused test data set according to the preset confidence coefficient and the pre-fused survival rate to obtain three heat intensity parameter comprehensive curves corresponding to the confidence coefficient and the pre-fused survival rate;
if the pre-fused test data set has creep test data points outside the limiting range, deleting the creep test data points outside the limiting range from the pre-fused test data set; wherein the limiting range is a range limited by the three thermal intensity parameter comprehensive curves;
returning to execute the step of curve fitting the pre-fused test data set according to the preset confidence coefficient and the preset survival rate to obtain three heat intensity parameter comprehensive curves corresponding to the confidence coefficient and the preset survival rate until no creep test data points outside a limiting range exist in the pre-fused test data set;
and obtaining a fusion data set from the pre-fused test data set.
2. The method of claim 1, wherein said pre-fusing according to subsamples of each of said test datasets comprises:
if the difference value of the subsamples among the test data sets is within a preset difference value range, pre-fusing the test data sets;
and if the difference value of the subsamples among the test data sets is out of the difference value range, pre-fusing the test data sets with the subsamples which are less than the preset proportion of the maximum subsamples into the test data set with the maximum subsamples.
3. The method of claim 1, wherein said detecting whether the plurality of test data sets meet a merge condition comprises:
detecting whether the samples corresponding to the plurality of test data sets are from the same furnace batch;
if the samples corresponding to the plurality of test data sets come from the same furnace batch, determining that the plurality of test data sets meet the merging condition;
and if the samples corresponding to the plurality of test data sets come from different furnace batches, determining that the plurality of test data sets do not meet the merging condition.
4. The method according to claim 1, wherein the curve fitting the pre-fused test data set according to the preset confidence and survival rate to obtain three heat intensity parameter integrated curves corresponding to the confidence and survival rate includes:
calculating the average value, 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 coefficient and the survival rate;
and performing curve fitting according to the average value, the first deviation value and the second deviation value of creep strength corresponding to different stresses to obtain three heat intensity parameter comprehensive curves corresponding to the confidence coefficient and the survival rate.
5. The method of claim 1, wherein deleting creep test data points outside a defined range from the pre-fused test data set comprises:
if only one pre-fused test data set exists, deleting creep test data points which are located outside a limited range;
if a plurality of pre-fused test data sets exist, deleting creep test data points which are located outside a limiting range and belong to small sub-sample test data sets, and retaining the creep test data points which are located outside the limiting range and belong to the largest sub-sample test data set; the small sub-sample test data sets are test data sets after being pre-fused, and the largest sub-sample test data set is a test data set with the largest sub-sample number in the test data sets after being pre-fused, except the largest sub-sample test data set.
6. A creep test data fusion apparatus, comprising:
an obtaining unit for obtaining a plurality of test data sets; wherein 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 a corresponding sample;
a detection unit for detecting whether the plurality of test data sets meet a combination condition;
a pre-fusion unit, configured to pre-fuse the plurality of test data sets according to the subsamples of each test data set if the plurality of test data sets meet a merging condition; wherein the subsamples of the test dataset are the number of creep test data points contained in the test dataset;
the fitting unit is used for performing curve fitting on the pre-fused test data set according to the preset confidence coefficient and the pre-fused survival rate to obtain three heat intensity parameter comprehensive curves corresponding to the confidence coefficient and the pre-fused survival rate;
a deleting unit, configured to delete, if the pre-fused test data set has a creep test data point that is outside the defined range, the creep test data point that is outside the defined range from the pre-fused test data set; wherein the limiting range is a range limited by the three thermal intensity parameter comprehensive curves;
the fitting unit is used for carrying out curve fitting on the pre-fused test data set according to the preset confidence coefficient and the survival rate in a returning mode, and obtaining three heat intensity parameter comprehensive curve steps corresponding to the confidence coefficient and the survival rate until no creep test data points outside a limiting range exist in the pre-fused test data set;
and the merging unit is used for merging the pre-merged test data sets and obtaining a merged data set.
7. The apparatus according to claim 6, wherein the pre-fusion unit is configured to, when performing pre-fusion according to the subsamples of each of the test datasets, specifically:
if the difference value of the subsamples among the test data sets is within a preset difference value range, pre-fusing the test data sets;
and if the difference value of the subsamples among the test data sets is out of the difference value range, pre-fusing the test data sets with the subsamples which are less than the preset proportion of the maximum subsamples into the test data set with the maximum subsamples.
8. The apparatus according to claim 6, wherein the detecting unit is configured to, when detecting whether the plurality of test data sets meet a merging condition, specifically:
detecting whether the samples corresponding to the plurality of test data sets are from the same furnace batch;
if the samples corresponding to the plurality of test data sets come from the same furnace batch, determining that the plurality of test data sets meet the merging condition;
and if the samples corresponding to the plurality of test data sets come from different furnace batches, determining that the plurality of test data sets do not meet the merging condition.
9. The apparatus of claim 6, wherein the fitting unit is configured to perform curve fitting on the pre-fused test data set according to a preset confidence coefficient and a preset survival rate, and when obtaining three heat intensity parameter integrated curves corresponding to the confidence coefficient and the survival rate, the fitting unit is specifically configured to:
calculating the average value, 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 coefficient and the survival rate;
and performing curve fitting according to the average value, the first deviation value and the second deviation value of creep strength corresponding to different stresses to obtain three heat intensity parameter comprehensive curves corresponding to the confidence coefficient and the survival rate.
10. The apparatus of claim 6, wherein the deleting unit is configured to delete creep test data points located outside a defined range from the pre-fused test data set, when:
if only one pre-fused test data set exists, deleting creep test data points which are located outside a limited range;
if a plurality of pre-fused test data sets exist, deleting creep test data points which are located outside a limiting range and belong to small sub-sample test data sets, and retaining the creep test data points which are located outside the limiting range and belong to the largest sub-sample test data set; the small sub-sample test data sets are test data sets after being pre-fused, and the largest sub-sample test data set is a test data set with the largest sub-sample number in the test data sets after being pre-fused, except the largest sub-sample test data set.
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