CN102798568A - Method for processing material fatigue life test data - Google Patents
Method for processing material fatigue life test data Download PDFInfo
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- CN102798568A CN102798568A CN2012102660261A CN201210266026A CN102798568A CN 102798568 A CN102798568 A CN 102798568A CN 2012102660261 A CN2012102660261 A CN 2012102660261A CN 201210266026 A CN201210266026 A CN 201210266026A CN 102798568 A CN102798568 A CN 102798568A
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Abstract
The invention belongs to a material fatigue life test technology and relates to a method for processing material fatigue life test data. The method is characterized by comprising the following processing steps of: finding out the fatigue limit of a material; preprocessing the fatigue life data; and finding out an intercept B1 and a slope B2 in a fatigue life curve. The invention provides a quite rational method for processing the material fatigue life test data, thereby avoiding the waste of the data obtained at high cost and underestimation of the fatigue life of the material.
Description
Technical field
The invention belongs to the material fatigue life experimental technique, relate to a kind of disposal route of material fatigue life test figure.
Background technology
Material axially load, rotoflector loads and reverse under the alternate load effect such as loading and can show fatigue phenomenon.S-L (S-N) equation is the conventional means of the fatigue strength of exosyndrome material under the Stress Control loading environment.Usually through following step acquisition S-N equation: under different stress levels through on fatigue tester, material sample being carried out torture test, obtain sample the stress level data and fatigue lifetime data fatigue data right; Then, adopt following method to fatigue lifetime-stress data of obtaining to handling, to obtain S-N curve and equation.Referring to Fig. 1, it provides the instance of a conventional fatigue data to disposal route.Among the figure, transverse axis is represented the fatigue break life-span of material, the stress that longitudinal axis representative applies, and the stress level scope that applies among the figure is 360Mpa～550MPa.Under each grade stress level, in certain life span, be distributed with a plurality of and fatigue data to corresponding data point.Wherein, stain is represented to test the testing site up to fracture, is called breakaway poing.Hollow square frame point expression spill point, the spill point that numeral " 2 " refers to is illustrated in following 2 samples to 10 of condition of 380MPa
7The circulation cycle is disconnected and take to shut down processing, and the spill point that numeral " 5 " refers to is illustrated in 5 samples to 10
7The circulation cycle is disconnected and take shutdown to handle.Generally take two kinds of methods for the processing of spill point.In one approach, consider that the spill point is not the actual crack life-span of sample, therefore directly it cast out that this can cause the waste of data, because the highest data point of testing cost is often represented in the spill point; Simultaneously, this life-span of having caused the stress level that the spill point occurs of optionally giving up of having a mind to is significantly less than actual life value.In the second approach, the spill point is regarded as 10
7The breakaway poing of circulation cycle fracture is handled with other breakaway poings.But, owing to the actual crack life-span of spill point possibly be distributed in from 10
7In infinitely-great scope widely, therefore this disposal route causes the fatigue limit value on the low side.The result that curve A among Fig. 1 promptly draws according to second method.As can be seen from Figure 1, second kind of disposal route generally is lower than 10 at fatigue lifetime corresponding with minimum one-level stress level of obtaining
7The circulation cycle, this has obviously underestimated the fatigue lifetime of material.In the data of such processing are applied to such as structural designs such as aeromotors, can cause the low of efficient.
Summary of the invention
The objective of the invention is: propose a kind of disposal route of material fatigue life test figure, to avoid waste data and the fatigue lifetime of underestimating material.
Technical solution of the present invention is: a kind of disposal route of material fatigue life test figure; Certain materials samples is carried out the performance test of material high cycle fatigue according to the method for " metal rotary bending fatigue test method (GB/T4334-87) ", " metallic high temperature rotary bending fatigue test method (GB/T 2107-1980) " and " metal axial fatigue test method (GB/T 3075-1982) " regulation; The stress level data that obtain sample are right with the fatigue data of data fatigue lifetime, and fatigue lifetime, data comprised: 1. be lower than the breakaway poing data of being scheduled to fatigue lifetime; 2. more than or equal to the spill point data of being scheduled to fatigue lifetime; It is characterized in that processed steps is following:
1, ask the fatigue limit of material:
1.1, fatigue limit data pairings: find out all spill point data; To each spill point data; Seek stress level than the higher leveled breakaway poing data of these spill point data, if it is have, then that these spill point data and the pairing of this breakaway poing data are right as fatigue limit data; If do not have, then give up this spill point data; At least should guarantee that 3 fatigue limit data are right;
1.2, ask the fatigue limit value: the mean value of obtaining the right stress level of all fatigue limit data is as the fatigue limit value;
2, data pre-service fatigue lifetime: data fatigue lifetime for the fatigue data centering that does not comprise the spill point data are done following processing: for the n under the same stress condition
iIndividual fatigue lifetime, data were done the denary logarithm processing earlier, did equalization then and handled, and obtained pretreated fatigue lifetime of data, n
iBe the sample number under the same stress condition, n
iBe not less than 3, i representes the sequence number of stress condition, and the stress value that applies under the stress condition of different sequence numbers is different;
3, ask intercept B in curve fatigue lifetime
1With slope B
2: with pretreated fatigue limit value as B
3The substitution formula:
logN＝B
1+B
2log(S-B
3)，…………………………………………[1]
In the formula, S is the stress level data, and N is data fatigue lifetime, with all pretreated data substitution fatigue lifetime formula [1], carries out linear fit and handles, and obtains the intercept B in curve fatigue lifetime
1With slope B
2, the number of times of each pretreated data substitution fatigue lifetime formula [1] is n
i
Advantage of the present invention is: proposed a kind of more reasonably disposal route of material fatigue life test figure, avoided wasting the data and the fatigue lifetime of underestimating material of expensive acquisition.
Description of drawings
Fig. 1 is a kind of result curve of fatigue data disposal route of routine.
Fig. 2 is the fatigue data result curve of one embodiment of the invention.
Embodiment
Explain further details in the face of the present invention down.The present invention provides a kind of disposal route of material fatigue life test figure; Certain materials samples is carried out the performance test of material high cycle fatigue according to the method for " metal rotary bending fatigue test method (GB/T 4334-87) ", " metallic high temperature rotary bending fatigue test method (GB/T 2107-1980) " and " metal axial fatigue test method (GB/T 3075-1982) " regulation; The stress level data that obtain sample are right with the fatigue data of data fatigue lifetime, and fatigue lifetime, data comprised: 1. be lower than the breakaway poing data of being scheduled to fatigue lifetime; 2. more than or equal to the spill point data of being scheduled to fatigue lifetime; It is characterized in that processed steps is following:
1, ask the fatigue limit of material:
1.1, fatigue limit data pairings: find out all spill point data; To each spill point data; Seek stress level than the higher leveled breakaway poing data of these spill point data, if it is have, then that these spill point data and the pairing of this breakaway poing data are right as fatigue limit data; If do not have, then give up this spill point data; At least should guarantee that 3 fatigue limit data are right;
1.2, ask the fatigue limit value: the mean value of obtaining the right stress level of all fatigue limit data is as the fatigue limit value;
2, data pre-service fatigue lifetime: data fatigue lifetime for the fatigue data centering that does not comprise the spill point data are done following processing: for the n under the same stress condition
iIndividual fatigue lifetime, data were done the denary logarithm processing earlier, did equalization then and handled, and obtained pretreated fatigue lifetime of data, n
iBe the sample number under the same stress condition, n
iBe not less than 3, i representes the sequence number of stress condition, and the stress value that applies under the stress condition of different sequence numbers is different;
3, ask intercept B in curve fatigue lifetime
1With slope B
2: with pretreated fatigue limit value as B
3The substitution formula:
logN＝B
1+B
2log(S-B
3)，…………………………………………[1]
In the formula, S is the stress level data, and N is data fatigue lifetime, with all pretreated data substitution fatigue lifetime formula [1], carries out linear fit and handles, and obtains the intercept B in curve fatigue lifetime
1With slope B
2, the number of times of each pretreated data substitution fatigue lifetime formula [1] is n
i
Principle of work of the present invention is: in the disposal route of fatigue data; Find out all spill point data; To each spill point data; Seek stress level than the higher leveled breakaway poing data of these spill point data, if it is have, then that these spill point data and the pairing of this breakaway poing data are right as fatigue limit data; If do not have, then give up this spill point data.Like this, ask the method for fatigue limit different through lifting and lowering method,, also can obtain the fatigue limit of material even for the fatigue data point that obtains through the some method of loosing with the active of routine.
In addition, distinguish the stress level that the stress level of spill point occurs and the spill point do not occur.Test figure under the stress level that the spill point occurs is given up.Then, the data of the stress level that the spill point do not occur that retains are brought in the processing of next stage.The purpose of carrying out this differentiation is in order to guarantee that any life-span in data processing method of the present invention, not occurring leaves a question open a little.In the prior art, in order to calculate the fatigue limit of material, these life-spans leave a question open and a little can't avoid.This just the present invention significantly be superior to the characteristics of existing data processing method.
Then, obtain with the weighted mean value of the fatigue data under the one-level stress level and calculate the data point of answering under this stress level condition, it is the test figure of above-mentioned number of data points and carry it into next processing stage that the weighted mean value that obtains is regarded as quantity.The reason of carrying out this processing is following.Because high cycle fatigue receives the influence of external factors such as internal factor such as fault in material and various test disturbances, so the data of material are often very disperseed.In this case, often cause the linear trend of calculation procedure wrong diagnosis data, thereby cause the data processing mistake for the match of data.Because equalization is handled the dispersiveness that can reduce the fatigue of materials data greatly, therefore, equalization is handled the generation that can significantly reduce this wrong diagnosis situation.And because this equalization is handled the weight of the fatigue lifetime of considering each grade stress level, the average fatigue data result that therefore this equalization is handled for material has no influence.In step-by-step processing of the present invention, all comprise the stress level of spill point data and all do not participate in the linear fit processing.Therefore, comprise the narrower and life span broad that relates to of stress level scope in the linear process.Thereby under the situation that does not adopt weighted average method, the relevance of life-span and stress is relatively poor, thereby causes the wide fluctuations of fitting parameter.Therefore, for step-by-step processing method of the present invention, the advantage of this average weighted algorithm is more obvious.
Through each link of above-mentioned mutual close association, can obtain the fatigue equation of the fatigue properties of rational evaluation material.
Describe embodiments of the invention with reference to the accompanying drawings in detail.
Embodiment
At first; In step S1,, be rotated repeated bend test for aviation with titanium alloy B through rotary bending tester with reference to " metallic high temperature rotary bending fatigue test method "; Test is drawn on batch cantilever bending fatigue tester of your manufactured in Britain and is carried out; Load mode is the cantilever rotoflector, 5000 rev/mins of testing machine rotating speeds, and the rotation cycle is by the automatic record of counter.Test temperature is 300 ° of C.Choosing different stress levels and test, is that totally 21 data of from 1 to 21 are right thereby obtain sequence number, and each data sees the following form 1 to comprising stress value and life-span Nf.Wherein, sequence number 14,15,19,20,21 is the spill point data.Through these data to drawing S-L figure.In S-L figure shown in Figure 2, breakaway poing is provided by black circle, and the spill point is provided by square frame.And the quantity of mark spill point on square frame.
Table 1
| Sequence number | Nf | logN | LogN is average with stress | Stress | log（max-LIM） |
| 1 | 5.00E+04 | 4.698970004 | 4.62 | 520 | 1.806179974 |
| 2 | 3.50E+04 | 4.544068044 | 4.62 | 520 | 1.806179974 |
| 3 | 7.50E+04 | 4.875061263 | 4.85 | 500 | 1.643452676 |
| 4 | 4.50E+04 | 4.653212514 | 4.85 | 500 | 1.643452676 |
| 5 | 1.05E+05 | 5.021189299 | 4.85 | 500 | 1.643452676 |
| 6 | 7.00E+04 | 4.84509804 | 4.85 | 500 | 1.643452676 |
| 7 | 1.20E+05 | 5.079181246 | 4.90 | 480 | 1.380211242 |
| 8 | 3.50E+04 | 4.544068044 | 4.90 | 480 | 1.380211242 |
| 9 | 1.80E+05 | 5.255272505 | 4.90 | 480 | 1.380211242 |
| 10 | 5.50E+04 | 4.740362689 | 4.90 | 480 | 1.380211242 |
| 11 | 7.50E+04 | 4.875061263 | 4.90 | 480 | 1.380211242 |
| 12 | 4.50E+04 | 4.653212514 | 470 | 1.146128036 | |
| 13 | 1.00E+05 | 5 | 470 | 1.146128036 | |
| 14 | >;1.10E7 | #VALUE! | 460 | 0.602059991 | |
| 15 | >;1.00E7 | #VALUE! | 460 | 0.602059991 | |
| 16 | 1.55E+05 | 5.190331698 | 460 | 0.602059991 | |
| 17 | 9.00E+06 | 6.954242509 | 460 | 0.602059991 | |
| 18 | 1.10E+05 | 5.041392685 | 460 | 0.602059991 | |
| 19 | >;1.02E7 | #VALUE! | 440 | #NUM! | |
| 20 | >;1.00E7 | #VALUE! | 440 | #NUM! | |
| 21 | >;1.08E7 | #VALUE! | 440 | #NUM! |
Then, in step S2, with data to the pairing.In the present embodiment, three spill point data of 440MPa stress level are pair right with three breakaway poing data of 460MPa stress level, and two spill point data of 460MPa stress level are pair right with two breakaway poing data of 470MPa stress level.With the stress value weighted mean of the data point of all successful matchings, trying to achieve fatigue limit is 456.
Then, in step S3, respectively that each data are right fatigue lifetime and stress value are asked logarithm. ". " data under the stress level be to will getting into the calculating of next stage.
" 520MPa, 500MPa and three stress levels of 480MPa, will average with the life-span logarithm value under the stress level condition.
Then, in step S5, will in step S2, ask and obtain fatigue limit 456MPa as B
3In the value substitution following formula (1).And the average data that will in step S4, try to achieve is associated with the stress logarithm value, and substitution following formula (1) carries out linear fit and calculates.In order to embody the weight of every sample, the number of times in each mean value substitution formula equals the radical of the sample under this grade stress level.After seemingly closing processing, obtain B
1And B
2Be respectively 6.30964 and 0.9904.Thereby the curve of fatigue of this B alloy under said sample condition characterized, shown in curve M in the accompanying drawing 2.
logN＝B
1+B
2log(S-B
3)，................................................[1]
As a comparison, in Fig. 2, give the result that the data processing method by the routine in background technology, described obtains, represent by dotted line N among the figure.Can find out that near fatigue limit, because conventional method is regarded as the breakaway poing Unified Treatment with the spill point, therefore, the result that obtains is obviously on the low side.
The structured material that the present invention can be widely used in fields such as Aero-Space, boats and ships, pressure vessel is at axial, rotoflector and the fatigue behaviour sign and the life prediction of the long-life stress fatigue under the alternate load condition such as reverse.Through using the present invention, can improve the material fatigue life prediction precision under the condition under arms greatly, thus the application potential of performance material and improve the material structure efficiency of design.
Claims (1)
1. the disposal route of a material fatigue life test figure; Certain materials samples is carried out the performance test of material high cycle fatigue according to the method for " metal rotary bending fatigue test method (GB/T 4334-87) ", " metallic high temperature rotary bending fatigue test method (GB/T 2107-1980) " and " metal axial fatigue test method (GB/T 3075-1982) " regulation; The stress level data that obtain sample are right with the fatigue data of data fatigue lifetime, and fatigue lifetime, data comprised: 1. be lower than the breakaway poing data of being scheduled to fatigue lifetime; 2. more than or equal to the spill point data of being scheduled to fatigue lifetime; It is characterized in that processed steps is following:
1.1, ask the fatigue limit of material:
1.1.1, fatigue limit data pairings: find out all spill point data; To each spill point data; Seek stress level than the higher leveled breakaway poing data of these spill point data, if it is have, then that these spill point data and the pairing of this breakaway poing data are right as fatigue limit data; If do not have, then give up this spill point data; At least should guarantee that 3 fatigue limit data are right;
1.1.2, ask the fatigue limit value: the mean value of obtaining the right stress level of all fatigue limit data is as the fatigue limit value;
1.2, data pre-service fatigue lifetime: data fatigue lifetime for the fatigue data centering that does not comprise the spill point data are done following processing: for the n under the same stress condition
iIndividual fatigue lifetime, data were done the denary logarithm processing earlier, did equalization then and handled, and obtained pretreated fatigue lifetime of data, n
iBe the sample number under the same stress condition, n
iBe not less than 3, i representes the sequence number of stress condition, and the stress value that applies under the stress condition of different sequence numbers is different;
1.3, ask the intercept B in curve fatigue lifetime
1With slope B
2: with pretreated fatigue limit value as B
3The substitution formula:
logN＝B
1+B
2log(S-B
3)，…………………………………………[1]
In the formula, S is the stress level data, and N is data fatigue lifetime, with all pretreated data substitution fatigue lifetime formula [1], carries out linear fit and handles, and obtains the intercept B in curve fatigue lifetime
1With slope B
2, the number of times of each pretreated data substitution fatigue lifetime formula [1] is n
i
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