CN110132805B - Ultrasonic evaluation method for average grain size of 2219 aluminum alloy cast ingot - Google Patents
Ultrasonic evaluation method for average grain size of 2219 aluminum alloy cast ingot Download PDFInfo
- Publication number
- CN110132805B CN110132805B CN201910512160.7A CN201910512160A CN110132805B CN 110132805 B CN110132805 B CN 110132805B CN 201910512160 A CN201910512160 A CN 201910512160A CN 110132805 B CN110132805 B CN 110132805B
- Authority
- CN
- China
- Prior art keywords
- aluminum alloy
- ultrasonic
- grain size
- average grain
- sample
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 229910000838 Al alloy Inorganic materials 0.000 title claims abstract description 71
- 238000011156 evaluation Methods 0.000 title claims abstract description 44
- 238000000034 method Methods 0.000 claims abstract description 48
- 238000012360 testing method Methods 0.000 claims abstract description 41
- 238000013210 evaluation model Methods 0.000 claims abstract description 11
- 238000009659 non-destructive testing Methods 0.000 claims abstract description 3
- 239000000523 sample Substances 0.000 claims description 46
- 238000001514 detection method Methods 0.000 claims description 21
- 238000005266 casting Methods 0.000 claims description 14
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 11
- 239000013078 crystal Substances 0.000 claims description 8
- 238000000137 annealing Methods 0.000 claims description 5
- 238000007654 immersion Methods 0.000 claims description 5
- 238000005070 sampling Methods 0.000 claims description 5
- 238000012937 correction Methods 0.000 claims description 4
- 230000007797 corrosion Effects 0.000 claims description 4
- 238000005260 corrosion Methods 0.000 claims description 4
- 238000012545 processing Methods 0.000 claims description 4
- 239000004576 sand Substances 0.000 claims description 4
- 238000005498 polishing Methods 0.000 claims description 3
- 239000000126 substance Substances 0.000 claims description 3
- 230000000052 comparative effect Effects 0.000 claims description 2
- 238000001028 reflection method Methods 0.000 claims description 2
- 238000010835 comparative analysis Methods 0.000 claims 1
- 230000000644 propagated effect Effects 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 5
- 238000005259 measurement Methods 0.000 description 5
- 238000009792 diffusion process Methods 0.000 description 4
- 239000000463 material Substances 0.000 description 4
- 230000001066 destructive effect Effects 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 238000002474 experimental method Methods 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 238000002604 ultrasonography Methods 0.000 description 2
- 229910045601 alloy Inorganic materials 0.000 description 1
- 239000000956 alloy Substances 0.000 description 1
- 230000006378 damage Effects 0.000 description 1
- 230000002500 effect on skin Effects 0.000 description 1
- 239000012535 impurity Substances 0.000 description 1
- 239000007769 metal material Substances 0.000 description 1
- 238000001556 precipitation Methods 0.000 description 1
- 230000001902 propagating effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/02—Investigating particle size or size distribution
Landscapes
- Chemical & Material Sciences (AREA)
- Dispersion Chemistry (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Investigating Or Analyzing Materials By The Use Of Ultrasonic Waves (AREA)
Abstract
The invention relates to a high-precision evaluation method for average grain size of a 2219 aluminum alloy ingot, in particular to a method for evaluating the average grain size of the 2219 aluminum alloy ingot with high precision by establishing an ultrasonic evaluation model of the average grain size by analyzing parameters such as sound velocity, attenuation coefficient and the like of ultrasonic waves propagated in the 2219 aluminum alloy ingot test block and considering the influence of residual stress. The model establishing process is scientific and simple, the obtained data is accurate, the obtained model is high in applicability, the fitting result is accurate, and the large-scale industrial application is facilitated. Meanwhile, the model developed by the invention provides necessary conditions for nondestructive testing.
Description
Technical Field
The invention relates to a high-precision evaluation method for average grain size of a 2219 aluminum alloy ingot, in particular to a method for evaluating the average grain size of the 2219 aluminum alloy ingot with high precision by establishing an ultrasonic evaluation model of the average grain size by analyzing parameters such as sound velocity, attenuation coefficient and the like of ultrasonic waves propagated in the 2219 aluminum alloy ingot test block and considering the influence of residual stress.
Background
2219 aluminium alloy has high strength, weldable, heat-resisting characteristics, and is widely used in the aerospace field, and the grain size of the alloy, especially the grain size at the ingot casting stage, not only affects the subsequent processing performance, but also affects the service performance of the processed component, so that the efficient and reliable detection of the grain size can provide data support for the control of the grain size.
2219 aluminum alloy is a polycrystalline structure, and its grain size can be detected by different methods, and the common methods are divided into two types, namely, destructive evaluation and nondestructive evaluation.
Destructive evaluation methods, such as metallographic methods and electron back-scattered diffraction (EBSD), require material destruction for detection. The metallographic method is intuitive and the result is more accurate, but the efficiency is lower. The EBSD method does not need corrosion treatment, but the sample polishing requirement is high, and only the condition of the crystal grains of the observed surface can be determined.
Common non-destructive evaluation methods include ultrasound and eddy current methods. In the eddy current method, the eddy current shows a certain skin effect in the detection process, and the detection result can only reflect the performance of the surface of the test piece and is not high in precision. The ultrasonic method can be divided into a sound velocity method, an attenuation method and the like, when the sound velocity method or the attenuation method is used independently to analyze the grain size information of the workpiece, because an echo signal is a non-stable signal and is easy to interfere, the ultrasonic sound velocity and attenuation coefficient measured values can have larger random errors, and in addition, a residual stress field in the workpiece can also influence a test result.
Based on the current research situation, the invention combines the characteristics of an ultrasonic sound velocity method and an ultrasonic energy attenuation method to establish a comprehensive evaluation method of the grain size based on the ultrasonic sound velocity and the energy attenuation, and corrects the method by analyzing the influence of the initial residual stress in the ingot on the detection signal.
Disclosure of Invention
Technical problem to be solved
The comprehensive ultrasonic evaluation method for the grain size of the 2219 aluminum alloy ingot is provided, and the evaluation precision of the average grain size of the 2219 aluminum alloy ingot is improved.
(II) technical scheme
The invention establishes a comprehensive evaluation method of 2219 aluminum alloy ingot average grain size based on ultrasonic sound velocity and attenuation coefficient and considering the influence of residual stress on a detection result, and the method comprises the following steps:
the method comprises the following steps: cutting a sample from the outer surface of the 2219 aluminum alloy ingot to the circle center; the number of the samples is more than or equal to 5, and metallographic analysis is carried out on each sample; measuring the average grain size of the sample; summarizing the average grain sizes of all samples, recording the summarized average grain sizes in an array G, and using the summarized average grain sizes as comparison basic data for ultrasonic evaluation of the average grain sizes; all the test samples are L in thickness;
step two: arranging all samples at the bottom of a water tank, performing water immersion detection by adopting a pulse reflection method, adjusting the position and the posture of an ultrasonic longitudinal wave probe in the detection process to ensure that the axis of the probe is strictly vertical to the measured point and the thickness of the water layer is kept consistent, controlling a motion platform to drive the probe to move for scanning, extracting an original A scanning signal, exporting original data, analyzing and processing the original data, and calculating the longitudinal wave sound velocity c 'of each sample'l。
Thirdly, detecting and analyzing 2219 aluminum alloy cast ingot samples with different grain sizes by adopting a transducer with the frequency f, and calculating the corresponding attenuation coefficient α 'on the basis of the original data's。
Step four: performing stress relief annealing on the 2219 aluminum alloy sample, and retesting according to the second step and the third step to obtain the ultrasonic longitudinal sound velocity c of the test block under no stresslAnd attenuation coefficient αsAnd comparing and analyzing longitudinal wave sound velocity c 'of test block under residual stress'lAnd an attenuation coefficient of α'sEstablishing an ultrasonic comprehensive evaluation model of mean grain size of 2219 aluminum alloy cast ingot after stress correction
In the formula:
z is the average grain size, um;
cland c'lThe propagation speeds of the ultrasonic waves in the stress-free test block and the stress test block are m/s respectively;
αsand α'sRespectively is the attenuation coefficient dB/mm when the ultrasonic wave propagates in the stress-free test block and the stress test block;
A0～A5、M0～M3、N0～N1are all constants。
The invention relates to an ultrasonic comprehensive evaluation method for the grain size of a 2219 aluminum alloy ingot, which is characterized in that the grain size of the 2219 aluminum alloy ingot from the outer surface to the center of a circle is different along with the position; therefore, in sampling, the number of samples is preferably 5 or more in the case of a constant thickness. To improve the reliability of the mold, 2219 aluminum alloy ingots of different sizes were selected. When any one of 2219 aluminum alloy cast ingots with different sizes is sampled, the sampling number is more than or equal to 5.
In order to further improve the reliability of the model, when 2219 aluminum alloy ingots are selected, 2219 aluminum alloy ingots prepared by different casting processes are selected.
The invention relates to an ultrasonic comprehensive evaluation method for 2219 aluminum alloy ingot casting grain size, which comprises the following metallographic analysis:
firstly, grinding and polishing a sample, then observing the crystal grain form of a 2219 aluminum alloy cast ingot by a Keyence VHX50000 series super-depth-of-field three-dimensional microscopic system by using a chemical corrosion display method, and then measuring the crystal grain size by selecting a linear intercept method to obtain the average crystal grain size of the sample; the average grain sizes of all samples were collected and recorded in array G as comparative base data for ultrasonic evaluation of the average grain sizes.
The invention relates to an ultrasonic comprehensive evaluation method for 2219 aluminum alloy cast ingot grain size, and in the second step, the thickness of a water layer is as follows: the perpendicular distance of the probe to the surface of the sample being tested.
The invention relates to an ultrasonic comprehensive evaluation method for 2219 aluminum alloy ingot casting grain size, and in the third step, the value of the frequency f is 5 MHz. Under the condition, the obtained data is more scientific and reliable.
The invention relates to an ultrasonic comprehensive evaluation method for 2219 aluminum alloy ingot casting grain size, A0～A5、M0～M3、N0～N1Are all constants and can be derived by calculation.
The invention relates to an ultrasonic comprehensive evaluation method for the grain size of a 2219 aluminum alloy ingot, after an ultrasonic comprehensive evaluation model of the corrected average grain size of the 2219 aluminum alloy ingot is established, for the same batch of products, sample cutting is not needed, acoustic data are directly obtained by ultrasonic detection, and then the grain size is calculated through the model established by the invention; and then used for evaluation. The acoustic data comprises sound velocity and attenuation coefficient; when the ultrasonic detection is directly used, the ultrasonic detection is carried out according to the steps two, three and four in sequence. Thus, nondestructive testing can be realized.
(III) advantageous effects
According to the method, the ultrasonic sound velocity method and the energy attenuation method are comprehensively applied to evaluation of the average grain size of the 2219 aluminum alloy ingot, the comprehensive evaluation method of the 2219 aluminum alloy ingot grain size based on the ultrasonic sound velocity and the energy attenuation coefficient and considering the residual stress correction coefficient is provided, the evaluation precision of the 2219 aluminum alloy ingot grain size is improved, and errors caused by the fact that the ultrasonic sound velocity method or the attenuation method is used simply and the residual stress factor is not considered are avoided. The invention provides a more accurate and efficient 2219 aluminum alloy ingot casting grain size evaluation method.
Drawings
FIG. 1 is a general flow chart of the present invention
FIG. 2 is a schematic diagram showing the sampling of 2219 aluminum alloy ingot casting test block of the present example
FIG. 3 is a schematic view of 2219 aluminum alloy ingot casting test block of the present example
FIG. 4 is a metallographic analysis system according to the example
FIG. 5 is a metallographic picture of a 2219 aluminum alloy ingot sample block of this example
FIG. 6 is a schematic view of a water immersion ultrasonic testing platform of the present invention
FIG. 7 is a schematic diagram of the A-scan waveform of the present invention
FIG. 8 is a graph of mean grain size and ultrasonic sound velocity fit for 2219 aluminum alloy ingot of this example
FIG. 9 is a fitting graph of the mean grain size and 5MHz ultrasonic attenuation coefficient of a 2219 aluminum alloy ingot of this example
FIG. 10 is a graph showing the fitting effect of the ultrasonic comprehensive evaluation model of 2219 aluminum alloy grain size in this example
Detailed Description
The invention is described in further detail below with reference to the figures and the examples.
The specific implementation mode is to develop researches on two 2219 aluminum alloy ingots with the diameter of 1380mm and one 2219 aluminum alloy ingot with the diameter of 800 mm. One of 2 cast ingots with the diameter of 1380mm is a conventional cast ingot, and the other is an ultrasonic-assisted cast ingot; the phi 800mm ingot is a conventional cast ingot.
The round cakes with the thickness (axial direction of the cylindrical ingot) of 15mm are respectively cut out from the three round ingots at a position 200mm away from one end in the axial direction, and then five samples of 40mm x 15mm are cut out on the round cakes along the radial direction, and the approximate position layout of the five samples is as follows: the first is located at the outer diameter, the second is located at a radius from center 3/4, the third is located at a radius from center 1/2, the fourth is located at a radius from center 1/4, and the fifth is located at the center, and fig. 2 is a schematic diagram of a specimen sample.
The sample numbers are shown in FIG. 3: the first group of test blocks sampled from the outer diameter to the center of a circle of the conventional casting ingot with the diameter of 1380mm are sequentially marked as No. 1 to No. 5, the second group of test blocks sampled from the outer diameter to the center of a circle of the ultrasonic casting ingot with the diameter of 1380mm are sequentially marked as No. 6 to No. 10, and the third group of test blocks sampled from the outer diameter to the center of a circle of the conventional casting ingot with the diameter of 800mm are sequentially marked as No. 11 to No. 15.
Metallographic analysis: firstly, grinding a test block, then observing the grain form of a 2219 aluminum alloy cast ingot by using a Keyence VHX50000 series ultra-depth-of-field three-dimensional microscopic system shown in figure 4 by using a chemical corrosion metallographic display method to obtain a grain microscopic picture shown in figure 5, wherein a straight line intercept method is selected for measurement, and the average value formula of the corresponding grain intercept can be expressed as follows:
in the formula:
is the average value of the corresponding grain intercept; l is the measurement length; m is the magnification; p is the number of the cut points;
is the average number of cut points per unit area.
The samples after solution treatment of the material are observed under the magnification of 100, 5 typical view fields are respectively taken, the number of the cut points is obtained through a 25mm measurement grid, detection and analysis are carried out, and the obtained grain size data is recorded in an array G.
The ultrasonic testing system adopted in the experiment is shown in fig. 6, the main body of the experimental equipment is a 5072PR module of Olympus, the bandwidth can reach 35MHz, and the maximum gain can reach 60 dB; the probe adopts a 5MHz R508-SU type water immersion probe; the type of the digital acquisition card is PCIe-9852, the bandwidth of the digital acquisition card is 100MHz, and the sampling frequency can reach 200 MHz. The above equipment configuration meets the requirements for ultrasonic evaluation of the grain size of 2219 aluminum alloy ingot. And flatly placing all test blocks at the bottom of the water tank and aligning the test blocks, and controlling the motion platform to drive the probe to move to scan so as to ensure the consistency of the test conditions of all the test blocks.
Ultrasonic sound velocity measurement: the thickness L of the test block is tested by using an electronic digital display micrometer, then 2219 aluminum alloy samples with different grain sizes are detected and analyzed by using an ultrasonic water immersion detection device, an ultrasonic A scanning detection signal is acquired as shown in figure 7, and the time t of a primary bottom echo can be obtained from a signal diagram1Time t of secondary bottom echo2Finally, the longitudinal wave sound velocity in the 2219 aluminum alloy test block is calculated according to the formula (3) and is recorded as cl′。
Next, attenuation measurements were performed: the sound field emitted by the probe is divided into a diffusion area (x is more than 1.64N) and an undiffused area (x is less than or equal to 1.64N). The beam corresponding to the previous region starts to spread, and there are medium and diffusion attenuation as a whole, and the near-field length N in the analysis can be specifically expressed as:
Dsλ is the wavelength for the transducer aperture.
The size specification of a sample to be researched is 40mm × 40mm × 15mm, a transducer with phi 8mm and 5MHz is adopted, so that N is approximately equal to 28mm, the diffusion area x is more than 1.64N is approximately equal to 45.92mm, therefore, in the detection process of the patent, a 2219 test block is mainly detected in an undispersed area, the bottom surface is kept parallel, no diffusion attenuation exists in the ultrasonic detection process, and the method is based on primary bottom wave B1And secondary bottom wave B2Determines the corresponding attenuation coefficient α. this method has the advantage of being less susceptible to interference and is highly accurate by placing the probe over the sample and reflecting the ultrasonic waves back and forth, so that multiple bottom waves, B, can be observed1And B2The height difference is related to the corresponding medium attenuation and reflection loss, and the sample attenuation coefficient α is expressed as follows:
in the formula, B1、B2-first and second bottom wave heights; the specific meaning is surface reflection loss, and when the roughness is 2um, the reflection loss in the propagation process under the condition is about 0.5 +/-0.5 dB; d is the specimen thickness.
The amplitude of the first and second bottom waves, i.e. the height of the bottom wave, can be known from the signal diagram scanned as shown in fig. 7, and then the attenuation coefficient at 5MHz is calculated according to the formula (5) and recorded as αs′。
And finally, carrying out comprehensive evaluation: when ultrasound propagates in an ingot, impurities of the metallic material itself, secondary precipitation phases, grain orientation and in particular residual stresses, in addition to the average grain size, have an influence on its propagation, since the actual material cannot be absolutely homogeneous. The test block used in the example is manufactured by adopting linear cutting processing, the surface of the test block is polished, and in the process of preparing the test block, although the initial residual stress is partially released, the residual part still has certain influence on the accuracy of evaluating the grain size of the cast ingot by an ultrasonic method, so the stress removal treatment needs to be carried out on the test block. The parameters of the stress relief annealing experiment are shown in Table 1.
TABLE 1 stress relief annealing test parameters
And then testing the 2219 aluminum alloy ingot casting test block subjected to stress relief annealing again, calculating the ultrasonic sound velocity and the attenuation coefficient of the test block, and respectively recording the results as clAnd αs. The ultrasonic sound velocity, the attenuation coefficient and the average grain size of the 2219 aluminum alloy test block are mathematically modeled under the condition of not considering the stress, an ultrasonic comprehensive evaluation model of the 2219 aluminum alloy ingot grain size without residual stress is obtained, the curve of the model is shown in figure 10, and the mathematical expression is as follows:
wherein Z is the average grain size, um; c. ClIs the ultrasonic sound velocity after stress relief, m/s, αsThe attenuation coefficient of ultrasonic energy after stress removal is dB/mm; a. the0～A5Is a constant.
Comparing the acoustic data of the test block after stress relief with the acoustic data of the test block before stress relief shows that: the ultrasonic sound velocity is obviously reduced, the change of the ultrasonic attenuation coefficient is small, and in order to enable the comprehensive evaluation model to be used under the condition of not removing stress, the formula (6) needs to be supplemented. The ultrasonic comprehensive evaluation stress correction model of the grain size of the supplemented 2219 aluminum alloy ingot is as follows:
in the formula:
z is the average grain size, um;
cland cl' the sound velocity of the ultrasonic wave propagating in the destressed test block and the unstressed test block, m/s, respectively;
αsand αs' attenuation of ultrasonic waves as they propagate in a destressed and unstressed test block, respectivelyCoefficient reduction, dB/mm;
A0～A5、M0～M3、N0～N1are all constants. Can be obtained by calculation.
The sound velocity and the attenuation coefficient before and after stress relief are respectively fitted to the grain size, and the curves are respectively shown in fig. 8 and fig. 9, so that the correlation coefficients can be obtained. The correlation coefficient of the comprehensive evaluation method is compared with the correlation coefficients of the ultrasonic sound velocity method and the energy attenuation method, and as shown in table 3, the comprehensive evaluation method is superior to the ultrasonic sound velocity and attenuation coefficient method, and the ultrasonic comprehensive evaluation method simultaneously utilizes the ultrasonic sound velocity and the attenuation to evaluate the average grain size of the material, so that the method has certain advantages in the stability and accuracy of the evaluation result.
TABLE 3 correlation coefficient comparison for each evaluation method
According to the method, the comprehensive evaluation model between the 2219 aluminum alloy grain size and the ultrasonic sound velocity and attenuation coefficient is established by correcting the ultrasonic parameters after the residual stress, the model is good in fitting effect, and the influence of the residual stress on the result is corrected, so that the comprehensive evaluation model can be suitable for evaluating the grain size of a 2219 aluminum alloy ingot in a non-stress-relief state, and has certain practicability in industry.
Claims (8)
1. An ultrasonic evaluation method for average grain size of 2219 aluminum alloy cast ingot is characterized in that; the method comprises the following steps:
the method comprises the following steps: cutting a sample from the outer surface of the 2219 aluminum alloy ingot to the circle center; the number of the samples is more than or equal to 5, and metallographic analysis is carried out on each sample; measuring the average grain size of the sample; summarizing the average grain sizes of all samples, recording the summarized average grain sizes in an array G, and using the summarized average grain sizes as comparison basic data for ultrasonic evaluation of the average grain sizes; all the test samples are L in thickness;
step two: all the samples were arranged at the bottom of the tank,adopting a pulse reflection method to carry out water immersion detection, adjusting the position and the posture of an ultrasonic longitudinal wave probe in the detection process to ensure that the axis of the probe is strictly vertical to the measured point and the thickness of the water layer is kept consistent, controlling a motion platform to drive the probe to move for scanning, extracting an original A scanning signal, exporting original data, carrying out analysis processing, and calculating the longitudinal wave sound velocity c of each samplel'；
Thirdly, detecting and analyzing 2219 aluminum alloy ingot samples with different grain sizes by using a transducer with the frequency of f, and calculating the corresponding attenuation coefficient α on the basis of the original datas'；
Step four: performing stress relief annealing on the 2219 aluminum alloy ingot sample, and retesting according to the second step and the third step to obtain the ultrasonic longitudinal sonic velocity c of the sample under no stresslAnd attenuation coefficient αsComparative analysis of longitudinal wave sound velocity c 'of sample under residual stress'lAnd an attenuation coefficient of α'sEstablishing an ultrasonic comprehensive evaluation model of mean grain size of 2219 aluminum alloy ingot casting sample after stress correction
In the formula:
z is the average grain size, um;
cland c'lThe propagation speeds of the ultrasonic waves in the unstressed sample and the stressed sample are m/s respectively;
αsand α'sRespectively is the attenuation coefficient dB/mm when the ultrasonic wave propagates in the stress-free sample and the stress sample;
A0～A5、M0～M3、N0～N1are all constants.
2. The ultrasonic evaluation method for the average grain size of the 2219 aluminum alloy ingot according to claim 1, characterized by comprising the following steps of: because of 2219 aluminum alloy ingot, the size of crystal grains from the outer surface to the center of a circle is different with different positions; therefore, when sampling is performed, the number of samples to be sampled is 5 or more at a certain thickness, and 2219 aluminum alloy ingots of different sizes are selected, and when any one of the 2219 aluminum alloy ingots of different sizes is sampled, the number of samples to be sampled is 5 or more.
3. The ultrasonic evaluation method for the average grain size of the 2219 aluminum alloy ingot according to claim 1, characterized by comprising the following steps of: when the 2219 aluminum alloy ingot is selected, 2219 aluminum alloy ingots prepared by different casting processes are selected.
4. The ultrasonic evaluation method for the average grain size of the 2219 aluminum alloy ingot according to claim 1, characterized by comprising the following steps of:
the metallographic analysis is as follows:
firstly, grinding and polishing a sample, then observing the crystal grain form of a 2219 aluminum alloy cast ingot sample by a Keyence VHX50000 series super-depth-of-field three-dimensional microscopic system by using a chemical corrosion display method, and then measuring the crystal grain size by selecting a linear intercept method to obtain the average crystal grain size of the sample; the average grain sizes of all samples were collected and recorded in array G as comparative base data for ultrasonic evaluation of the average grain sizes.
5. The ultrasonic evaluation method for the average grain size of the 2219 aluminum alloy ingot according to claim 1, characterized by comprising the following steps of: in the second step, the thickness of the water layer is as follows: the perpendicular distance of the probe to the surface of the sample being tested.
6. The ultrasonic evaluation method for the average grain size of the 2219 aluminum alloy ingot according to claim 1, characterized by comprising the following steps of:
in the third step, the value of the frequency f is 5 MHz.
7. The ultrasonic evaluation method for the average grain size of the 2219 aluminum alloy ingot according to claim 1, characterized by comprising the following steps of: a. the0～A5、M0～M3、N0～N1Are all constants and can be derived by calculation.
8. The ultrasonic evaluation method for the average grain size of the 2219 aluminum alloy ingot according to claim 1, characterized by comprising the following steps of: after the ultrasonic comprehensive evaluation model of the corrected average grain size of the 2219 aluminum alloy cast ingot is established, for the same batch of products, sample cutting is not needed, acoustic data are directly obtained through ultrasonic detection, and then the grain size is calculated through the established model; and then used for evaluation; the acoustic data comprises sound velocity and attenuation coefficient; when the ultrasonic detection is directly used, the ultrasonic detection is sequentially carried out according to the second step, the third step and the fourth step; thus, nondestructive testing can be realized.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910512160.7A CN110132805B (en) | 2019-06-13 | 2019-06-13 | Ultrasonic evaluation method for average grain size of 2219 aluminum alloy cast ingot |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910512160.7A CN110132805B (en) | 2019-06-13 | 2019-06-13 | Ultrasonic evaluation method for average grain size of 2219 aluminum alloy cast ingot |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110132805A CN110132805A (en) | 2019-08-16 |
| CN110132805B true CN110132805B (en) | 2020-09-11 |
Family
ID=67577122
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910512160.7A Active CN110132805B (en) | 2019-06-13 | 2019-06-13 | Ultrasonic evaluation method for average grain size of 2219 aluminum alloy cast ingot |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110132805B (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113188965B (en) * | 2021-04-29 | 2022-05-10 | 东南大学 | Surface wave-based nondestructive evaluation method for grain size of metal additive product |
| CN113504162A (en) * | 2021-07-22 | 2021-10-15 | 西安热工研究院有限公司 | Method for rapidly screening coarse-grain bolts through audio |
| CN117949278B (en) * | 2024-03-26 | 2024-06-21 | 有研工程技术研究院有限公司 | Method for evaluating homogenization effect of 7xxx series aluminum alloy cast ingot |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| RU2469309C1 (en) * | 2011-07-27 | 2012-12-10 | Федеральное государственное бюджетное образовательное учреждение высшего профессионального образования Санкт-Петербургский государственный университет | Ultrasonic method of determining grain-size composition of particulates |
| CN105891340A (en) * | 2016-06-03 | 2016-08-24 | 江苏科技大学 | Correcting method for evaluating material stress by influencing ultrasonic waves through grain sizes |
| CN108490081A (en) * | 2018-04-03 | 2018-09-04 | 南昌航空大学 | A kind of determination method of alloy grain size based on multi-parameter and determining system |
| CN109298078A (en) * | 2018-11-15 | 2019-02-01 | 韦士肯(厦门)智能科技有限公司 | A kind of non-contact material hardness measurement method based on ultrasound |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR101008028B1 (en) * | 2004-03-11 | 2011-01-13 | 니뽄스틸코포레이션 | Method and apparatus for measuring crystal grain size distribution |
-
2019
- 2019-06-13 CN CN201910512160.7A patent/CN110132805B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| RU2469309C1 (en) * | 2011-07-27 | 2012-12-10 | Федеральное государственное бюджетное образовательное учреждение высшего профессионального образования Санкт-Петербургский государственный университет | Ultrasonic method of determining grain-size composition of particulates |
| CN105891340A (en) * | 2016-06-03 | 2016-08-24 | 江苏科技大学 | Correcting method for evaluating material stress by influencing ultrasonic waves through grain sizes |
| CN108490081A (en) * | 2018-04-03 | 2018-09-04 | 南昌航空大学 | A kind of determination method of alloy grain size based on multi-parameter and determining system |
| CN109298078A (en) * | 2018-11-15 | 2019-02-01 | 韦士肯(厦门)智能科技有限公司 | A kind of non-contact material hardness measurement method based on ultrasound |
Non-Patent Citations (3)
| Title |
|---|
| GH4169 晶粒尺寸的多参数超声评价方法;陈昊 等;《机械工程学报》;20181231;第54卷(第24期);18-26 * |
| In-situ measurement of Ti-6Al-4V grain size distribution using laser ultrasonic technique;Feng Dong 等;《Scripta Materialia》;20180530;40-44 * |
| 面向晶粒尺寸的超声多尺度衰减评价方法;李雄兵 等;《金属学报》;20150131;第51卷(第1期);121-128 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110132805A (en) | 2019-08-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110132805B (en) | Ultrasonic evaluation method for average grain size of 2219 aluminum alloy cast ingot | |
| CN106017372B (en) | A kind of method of ultrasonic non-destructive measurement wear-resistant coating thickness and modulus of elasticity | |
| US7389693B2 (en) | Methods and apparatus for porosity measurement | |
| CN108896660B (en) | Hexagonal material near-surface micro defect detection method based on transverse wave back scattering | |
| CN113188965B (en) | Surface wave-based nondestructive evaluation method for grain size of metal additive product | |
| Margetan et al. | A technique for quantitatively measuring microstructurally induced ultrasonic noise | |
| US20070118330A1 (en) | Dual wall turbine blade ultrasonic wall thickness measurement technique | |
| EP2598866B1 (en) | Ultrasonic pipe inspection with signal processing arrangement | |
| CN104034287B (en) | A kind of elastic anisotropy metallic matrix thermal barrier coating thickness ultrasonic measurement method | |
| US20100121584A1 (en) | Method and apparatus for ultrasonic characterization of scale-dependent bulk material heterogeneities | |
| Chakrapani et al. | Crack detection in full size Cz-silicon wafers using lamb wave air coupled ultrasonic testing (LAC-UT) | |
| Sen et al. | Ultrasonic thickness measurement for aluminum alloy irregular surface parts based on spectral analysis | |
| CN102608212A (en) | Method for measuring acoustic impedance and acoustic attenuation of thin layer based on sound pressure reflection coefficient power spectrum | |
| EP0981740B1 (en) | Method for residual stress measuring | |
| CN110133102A (en) | A kind of cast aluminium alloy flat ingot immersion type ultrasonic wave detecting system and its application method | |
| CN116183717A (en) | Nondestructive testing method and device for early local corrosion of large pressure vessel | |
| CN108362772A (en) | A kind of ultrasonic flaw detection method of detection DPF carrier insides damage | |
| CN106483198B (en) | A kind of metal grain size ultrasonic attenuation evaluation method rejecting curved surface and extending influence | |
| CN109839442B (en) | Grain size nondestructive evaluation method and system based on laser ultrasonic center frequency shift | |
| Margetan et al. | The practical application of grain noise models in titanium billets and forgings | |
| CN111766302A (en) | Ultrasonic detection method and detection system for coating structure | |
| CN107271557B (en) | Steel cleanliness evaluation method based on ultrasonic scanning microscope | |
| CN111665296A (en) | Method and device for measuring three-dimensional radiation sound field of ultrasonic transducer based on EMAT | |
| Lane et al. | 3D ultrasonic inspection of anisotropic aerospace components | |
| CN116908304B (en) | Polycrystalline material grain size assessment method based on ultrasonic wake average power attenuation |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |