Method and device for evaluating reinforcement phase distribution of metal-based composite material
By using two-dimensional scanning and backscatter signal analysis with an ultrasonic probe, tomographic imaging and quantitative evaluation of inhomogeneity of reinforcing phase particles in metal matrix composites were achieved. This solves the problem that existing technologies cannot quantitatively assess the agglomeration of reinforcing phase particles, and improves the reliability and consistency of material properties.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-01-26
- Publication Date
- 2026-03-27
AI Technical Summary
Existing ultrasonic nondestructive testing techniques cannot quantitatively evaluate the agglomeration distribution of reinforcing phase particles in metal matrix composites, resulting in insufficient directional dependence and reliability of material properties.
Two-dimensional scanning was performed using an ultrasonic probe to obtain the A-scan dataset of the test block. The image pixel mapping was performed by extracting the comprehensive intensity value of the backscattered signal to achieve tomographic imaging of the reinforcing phase particles. The comprehensive backscattered intensity variation coefficient was defined as a quantitative index of material inhomogeneity.
It enables imaging of the distribution of reinforcing phase particles at arbitrary spatial locations and quantitative assessment of the overall material inhomogeneity, thereby improving the reliability and consistency of material properties.
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Figure CN121741018A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of nondestructive testing of composite materials, and in particular to a metal matrix composite reinforcement phase distribution evaluation method and device. BACKGROUND
[0002] Metal matrix composites have great application potential in the fields of aerospace, national defense and military industry, and high-end equipment manufacturing due to their strong designability, high specific strength and specific modulus, and good heat resistance. Among them, particle reinforced aluminum matrix composites have excellent mechanical and physical properties, such as good plasticity of light Al matrix and high hardness and high stiffness of SiC particles. However, the macroscopic properties of metal matrix composites, including elastic modulus, strength and thermal physical properties, are not only determined by the volume fraction of each component, but are more significantly affected by the spatial distribution state of the reinforcement phase particles.
[0003] In the actual preparation process, due to the difference in wettability between particles and matrix and process disturbance, local agglomeration of SiC particles is prone to occur. This microstructure inhomogeneity not only becomes a stress concentration source, leading to premature failure of the material, but also introduces significant macroscopic anisotropy, making the material performance show strong direction dependence, which seriously restricts its reliability and service safety. Therefore, accurate and reliable quantitative evaluation of the distribution state of SiC particles in aluminum matrix composites is a key link for optimizing the preparation process and ensuring the consistency of component performance. Using nondestructive methods to evaluate the microstructure of materials is the best way. Among them, ultrasonic nondestructive testing is widely used because of its high sensitivity to material internal microstructure characteristics such as grain size, crystal orientation, second phase content and distribution, and its advantages of simple operation, strong safety and strong material adaptability.
[0004] Existing ultrasonic nondestructive testing technology-based evaluation of metal matrix composite microstructure mostly focuses on the use of ultrasonic velocity and attenuation coefficient in connection with material microstructure. Although the velocity and attenuation method can be used for imaging of SiC particle distribution in aluminum matrix composites, it has the following problems: velocity and attenuation are average estimates on the sound propagation path, and cannot realize imaging of any point in the material interior; velocity and attenuation are more sensitive to SiC content and porosity, which are volume fraction parameters, and the sensitivity to SiC particle agglomeration is reduced. In summary, current ultrasonic nondestructive testing research on metal matrix composites mainly focuses on defect detection or evaluation of reinforcement phase content, and cannot realize quantitative evaluation of reinforcement phase particle agglomeration distribution in metal matrix composites. SUMMARY
[0005] The present application provides a metal matrix composite reinforcement phase distribution evaluation method and device to solve the problems in the background art.
[0006] In a first aspect, this application provides a method for evaluating the distribution of reinforcing phases in metal matrix composites, including: An ultrasonic probe is used to perform a two-dimensional scan of the test block to obtain a complete A-scan dataset of the entire detection area of the test block. The comprehensive intensity value of the backscattered signal of all scanning points within a time window of different positions or different time lengths of the backscattered signal of the test block is extracted to quantify the particle aggregation at different positions or ranges. The combined intensity value of the backscattered signals of all scanning points within the same time window is mapped to the image pixel intensity, thereby achieving tomographic imaging of enhanced phase particles.
[0007] Furthermore, the method employs a water immersion ultrasonic C-scan system for data acquisition, the system comprising an ultrasonic excitation and receiving unit, a motion control unit, a data acquisition unit, and a water immersion environment.
[0008] Furthermore, the method uses an ultrasonic probe with a center frequency of 15MHz, a focal length of 76.2mm, and a spot diameter of 0.6mm for detection, and the scanning step size is set to 0.5mm.
[0009] Furthermore, the method defines the combined backscatter intensity at the focal position of the ultrasonic beam. To reflect the spatial distribution of SiC particles: In the formula, The time window is determined by the pulse width. As the focal point, V ( t () is a time-dependent backscattered signal. It involves rectifying the waveform within a time window to convert the radio frequency signal into a full-wave signal.
[0010] Furthermore, the method also includes: When ultrasound encounters SiC particle agglomerates, the backscattered wave exhibits an abnormally high amplitude signal. The location of SiC aggregates can be determined based on the propagation time and amplitude of the abnormal signal.
[0011] Furthermore, the method defines the coefficient of variation of the overall backscatter intensity. CV As a quantitative indicator of the overall non-uniformity of materials: in, and These are the standard deviation and mean of the overall backscatter intensity, respectively.
[0012] Secondly, this application provides a device for evaluating the distribution of reinforcing phases in metal matrix composites, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the method for evaluating the distribution of reinforcing phases in metal matrix composites as described above.
[0013] The above-mentioned technical solution of this application has the following advantages: The method for evaluating the distribution of reinforcing phases in metal matrix composites provided in the first aspect of this application obtains a complete A-scan dataset of the entire detection area of the test block by performing a two-dimensional scan using an ultrasonic probe. By extracting the comprehensive intensity value of the backscattered signals from all scan points within a time window of different positions or time lengths, the agglomeration of particles at different positions or ranges is quantified. Furthermore, by mapping the comprehensive intensity value of the backscattered signals from all scan points within the same time window to image pixel intensity, tomographic imaging of the reinforcing phase particles is achieved. Compared with attenuation and sound velocity methods, the backscattering method can resolve spatial information at any point along the propagation path. This method not only enables tomographic imaging of SiC particle distribution at arbitrary spatial locations but also allows for quantitative assessment of the overall inhomogeneity of the material.
[0014] It is understandable that the beneficial effects of the second aspect mentioned above can be found in the relevant descriptions in the first aspect mentioned above, and will not be repeated here. Attached Figure Description
[0015] To more clearly illustrate the technical solutions in the specific embodiments of this application or the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.
[0016] Figure 1 A flowchart of a method for evaluating the distribution of reinforcing phases in metal matrix composites provided in this application embodiment; Figure 2 A schematic diagram of the backscattered signal provided in an embodiment of this application; Figure 3 The backscattering intensity measurement results of the large-size agglomerate main test block provided in the embodiments of this application are as follows: (a) within the overall thickness of the test block, (b) a plane 8.2 mm away from the upper surface of the test block, and (c) a plane 20.4 mm away from the upper surface of the test block. Figure 4 The backscattering intensity measurement results of the point-like agglomerates as the main test block provided in the embodiments of this application are as follows: (a) within the overall thickness of the test block, (b) a plane 5.9 mm away from the upper surface of the test block, and (c) a plane 10.9 mm away from the upper surface of the test block. Figure 5 The backscattering intensity measurement results provided in the embodiments of this application are as follows: (a1)-(a3) are test blocks No.1; (b1)-(b3) are test blocks No.2; and (c1)-(c3) are test blocks No.3. Figure 6 The sound velocity imaging results provided in the embodiments of this application are shown in (a) for test block No.1, (b) for test block No.2, and (c) for test block No.3. Figure 7 The attenuation coefficient imaging results provided in the embodiments of this application are shown in (a) for test block No.1, (b) for test block No.2, and (c) for test block No.3. Detailed Implementation
[0017] In the following description, specific details such as particular device structures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known devices, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this application with unnecessary detail.
[0018] It should be understood that, when used in this application specification and the appended claims, the term "comprising" indicates the presence of the described features, integrals, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or a collection thereof.
[0019] Furthermore, in the description of this application and the appended claims, the terms "first," "second," "third," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.
[0020] References to "one embodiment" or "some embodiments" in this specification mean that one or more embodiments of this application include a specific feature, structure, or characteristic described in connection with that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in still other embodiments," etc., appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless otherwise specifically emphasized. "A plurality" means "two or more."
[0021] Given that the macroscopic properties of metal matrix composites are significantly affected by the spatial distribution of reinforcing phase particles, this application proposes a method for evaluating the distribution of reinforcing phase in metal matrix composites based on time-correlated comprehensive backscattering intensity, so as to achieve tomographic imaging of reinforcing phase particles and thus accurately and reliably quantitatively evaluate the local aggregation phenomenon of reinforcing phase particles.
[0022] The specific embodiments of this application will be described in further detail below with reference to the accompanying drawings and examples. The following examples are used to illustrate this application, but are not intended to limit the scope of this application.
[0023] This application provides a method for evaluating the distribution of reinforcing phases in metal matrix composites, such as... Figure 1 As shown, the specific steps include: using an ultrasonic probe to perform a two-dimensional scan of the test block to obtain a complete A-scan dataset of the entire detection area of the test block; extracting the comprehensive intensity value of the backscattered signal of all scanning points within a time window of different positions or different time lengths of the backscattered signal of the test block to quantify the particle aggregation at different positions or ranges; mapping the comprehensive intensity value of the backscattered signal of all scanning points within the same time window to the image pixel intensity to achieve tomographic imaging of enhanced phase particles.
[0024] Existing research on ultrasonic nondestructive testing (NDT) of metal matrix composites mainly focuses on defect detection or evaluation of reinforcing phase content. Therefore, addressing the limitation of existing ultrasonic NDT methods in quantitatively evaluating the agglomeration and distribution of reinforcing phase particles within metal matrix composites, this application proposes a method for evaluating the reinforcing phase distribution of aluminum matrix composites based on ultrasonic backscattering signals. Compared to existing methods, this method not only enables tomographic imaging of SiC particle distribution at arbitrary spatial locations but also allows for quantitative assessment of the overall material inhomogeneity.
[0025] In some embodiments, the method employs a water immersion ultrasonic C-scan system for data acquisition, the system comprising an ultrasonic excitation and receiving unit, a motion control unit, a data acquisition unit, and a water immersion environment.
[0026] In some embodiments, the method uses an ultrasonic probe with a center frequency of 15MHz, a focal length of 76.2mm, and a spot diameter of 0.6mm for detection, and the scanning step size is set to 0.5mm.
[0027] In some embodiments, the method defines the combined backscatter intensity at the focal position of the ultrasound beam. To reflect the spatial distribution of SiC particles: In the formula, The time window is determined by the pulse width. As the focal point,V ( t () is a time-dependent backscattered signal. It involves rectifying the waveform within a time window to convert the radio frequency signal into a full-wave signal.
[0028] In some embodiments, the method further includes: When ultrasound encounters SiC particle agglomerates, the backscattered wave exhibits an abnormally high amplitude signal. The location of SiC aggregates can be determined based on the propagation time and amplitude of the abnormal signal.
[0029] In some embodiments, the method defines the combined backscatter intensity variation coefficient. CV As a quantitative indicator of the overall non-uniformity of materials: in, and These are the standard deviation and mean of the overall backscatter intensity, respectively.
[0030] The ultrasonic evaluation method for the spatial distribution of particle-reinforced phases in metal matrix composites proposed in this application is applicable to particle-reinforced aluminum matrix composites, particle-reinforced titanium matrix composites, etc. This method employs a dedicated water immersion ultrasonic C-scan system for data acquisition. This system mainly consists of an ultrasonic excitation and receiving unit, a motion control unit, a data acquisition unit, and a water immersion environment.
[0031] This method is based on the analysis and processing of ultrasonic backscattered signals. SiC particles distributed at grain boundaries, due to their different local elastic moduli compared to the matrix, cause ultrasonic wave scattering. The scattered waves propagate in multiple directions within the material. When a portion of the scattered waves returns along the incident path and is received by the ultrasonic probe, this portion of the signal is the backscattered wave. Figure 2 The large box in the image shows the backscattered wave signal, which records material information along the propagation path. When the ultrasonic wave encounters SiC particle agglomerates, the backscattered wave exhibits an abnormally high amplitude signal. Based on the propagation time and amplitude of the abnormal signal, the location of the SiC agglomerates can be pinpointed, and the overall inhomogeneity of the material can be quantified.
[0032] This application proposes an ultrasonic evaluation method for the spatial distribution of particle-reinforced phases in metal matrix composites, which utilizes a backscattered signal intensity parameter. The method defines the comprehensive backscattered intensity at the focal position of the ultrasonic beam. To reflect the spatial distribution of SiC particles: (1) In the formula, The time window is determined by the pulse width. As the focal point,V ( t () is a time-dependent backscattered signal. The waveform is rectified within the time window to convert the radio frequency signal into a full-wave signal. Formula (1) contains the material depth information of a single detection point.
[0033] This method uses an ultrasonic probe to perform a two-dimensional scan of the test block, obtaining a complete A-scan dataset of the entire detection area. By extracting the combined intensity value of the backscattered signals from all scan points of each test block and mapping this value to image pixel intensity, the distribution of SiC particles within the test block can be visualized, such as... Figure 3 (a) and Figure 4 As shown in (a), high-intensity regions are concentrated at specific locations in the material, indicating a high degree of SiC particle aggregation at those locations; while low-intensity regions correspond to areas with relatively sparse particles. According to the image, Figure 3 (a) Significant aggregation was found inside the test block, with large-sized aggregations predominating. Figure 4 (a) The interior of the sample block is predominantly composed of punctate agglomerations. Furthermore, by extracting time windows of different locations or durations from the backscattered signals of each sample block, the particle agglomeration at different locations or within different ranges can be quantified, such as... Figure 3 (b)-(c) and Figure 4 As shown in (b)-(c).
[0034] This method proposes an index to quantify the overall inhomogeneity of materials. The coefficient of variation of the overall backscattering intensity is defined as the quantitative index of the overall inhomogeneity of the material. (2) in, and These are the standard deviation and mean of the overall backscatter intensity, respectively. Figure 3 The non-uniformity of the two planes of the pilot block was 34.03% (plane 8.2 mm from the top surface) and 64.84% (plane 20.4 mm from the top surface). Figure 4 The non-uniformity of the two planes of the pilot block was 16.95% (plane 5.9 mm from the top surface) and 8.51% (plane 10.9 mm from the top surface).
[0035] The following is a description through specific embodiments.
[0036] Example This embodiment is used to identify SiC particle agglomeration within particle-reinforced aluminum matrix composites. First, three SiC particle-reinforced aluminum matrix composites with different process parameters were prepared using powder metallurgy. Then, specimens with dimensions of 100mm × 100mm × 35mm were cut for evaluating the particle agglomeration state. Data acquisition was performed using a dedicated water immersion ultrasonic C-scan system, which mainly consists of an ultrasonic excitation and receiving unit, a motion control unit, a data acquisition unit, and a water immersion environment. An ultrasonic probe with a center frequency of 15MHz, a focal length of 76.2mm, and a spot diameter of 0.6mm was used for detection.
[0037] In this embodiment, to improve the spatial resolution of the C-scan image, the scanning step size is set to 0.5 mm. Although this value is smaller than the ultrasonic spot diameter, which would cause the acoustic beams of adjacent measurement points to overlap, the size of the SiC particles (7 μm) is much smaller than the scanning step size. Therefore, the backscattered signal collected at each step point is focused on different SiC particles. By adjusting the underwater acoustic distance, the focal point of the ultrasonic probe is set at a depth of 10 mm in the test block. In addition, based on the duration of the waveform of the probe used, the time window length in formula (1) is set to 1 μs (i.e., 200 data sampling points).
[0038] In this embodiment, three SiC particle-reinforced aluminum matrix composite materials with different process parameters were tested respectively, and the results are as follows: Figure 5 As shown. Figure 5 (a1) Figure 5 (b1) Figure 5 (c1) represents the maximum backscattered signal response intensity within the three test blocks. According to formula (1)... Figure 5 (a2)-(a3) Figure 5 (b2)-(b3), Figure 5 (c2)-(c3) are composite backscatter intensity images of different planes in the thickness direction, respectively.
[0039] In this embodiment, according to Figure 5 The combined backscattered intensity of the three samples exhibited significant spatial non-uniformity. High-intensity regions were concentrated at specific locations within the material, indicating a high degree of SiC particle aggregation at those locations; while low-intensity regions corresponded to areas with relatively sparse particles. Sample No. 1 showed predominantly localized agglomeration, Sample No. 2 exhibited relatively uniform agglomeration with only point-like agglomerations, while Sample No. 3 showed significant agglomeration, primarily consisting of large-sized agglomerates. Furthermore, by observing the imaging results of the same sample at different depth planes, such as Plane 1 (9.8 mm) and Plane 2 (22.2 mm) for Sample No. 1, it was found that the SiC particle distribution also differed significantly along the material thickness direction.
[0040] In summary, the SiC particles in the three sets of samples exhibit a complex, non-uniform layered structure in three-dimensional space. Ultrasonic backscattering intensity imaging can effectively reveal the spatial distribution of SiC particles as the reinforcing phase in metal matrix composites. Furthermore, the coefficient of variation of the comprehensive backscattering intensity was used as a quantitative indicator of the degree of inhomogeneity, and the results are shown in Table 1. It can be found that the degree of inhomogeneity of the three samples, from largest to smallest, is: No.3 > No.2 > No.1.
[0041] Table 1 Statistical results of combined backscattering intensity from different planes In this embodiment, to demonstrate the superiority of this method, it is compared with existing ultrasonic velocity and attenuation methods. Figure 6 and Figure 7 The distribution maps of sound velocity and attenuation coefficient for three groups of test blocks are shown. Sound velocity was calculated by measuring the time delay of ultrasonic waves propagating within the test block, while the attenuation coefficient was calculated from the amplitude ratio of adjacent echo signals. Statistical results show that the mean sound velocities of the three groups of test blocks differ, specifically: No.2 (5542 m / s) > No.1 (5515 m / s) > No.3 (5420 m / s). This difference may be related to the distribution of SiC particles. The SiC particles in test blocks No.1 and No.2 are relatively uniformly distributed, while those in test block No.3 are more dispersed, resulting in the lowest average sound velocity. From the overall distribution of the sound velocity images, all three groups of test blocks show high uniformity. This result is inconsistent with the particle aggregation observed in actual metallographic studies, indicating that relying solely on the overall sound velocity distribution is insufficient to effectively identify localized non-uniformity of SiC particles.
[0042] The average attenuation coefficients of the three test blocks were: No.2 (25 Np / m) > No.1 (15 Np / m) ≈ No.3 (14 Np / m). The attenuation measurement results of test block No.2 were consistent with its sound velocity characteristics, reflecting a high overall value. However, the attenuation coefficient was not sensitive to the average distribution of SiC particles in test blocks No.1 and No.3, and the difference between the two could not be detected.
[0043] Figure 6 and Figure 7 The given sound velocity and attenuation coefficient diagrams are essentially the integral response results of ultrasound along the material propagation path. They can only reflect the average distribution of SiC particles along the sound beam direction and are difficult to evaluate their local aggregation state in three-dimensional space. In contrast, the backscattering method is not only more sensitive to the distribution of SiC particles, but can also achieve tomographic imaging of a specified depth plane, thus more accurately characterizing the microstructural inhomogeneities within the material.
[0044] This application provides a method for evaluating the distribution of reinforcing phases in metal matrix composites, which can effectively achieve non-destructive evaluation of the spatial distribution of SiC particles within the material. This method exhibits high sensitivity in identifying different types of SiC particle distribution morphologies, such as point agglomerates and large-size agglomerates. Furthermore, compared to traditional sound velocity and attenuation methods (which only reflect the average distribution of SiC particles along the sound beam direction and are difficult to evaluate their local aggregation state in three-dimensional space), the backscattering method proposed in this application can not only achieve tomographic imaging at a specified depth plane but also further quantify the degree of microstructural inhomogeneity within the material.
[0045] This application also provides a device for evaluating the distribution of reinforcing phases in metal matrix composites, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the method for evaluating the distribution of reinforcing phases in metal matrix composites provided in the first aspect.
[0046] In applications, the device for evaluating the distribution of reinforced phases in metal matrix composites may include, but is not limited to, processors and memory. These are merely examples and do not constitute a limitation on the device. It may include more or fewer components, or combinations of certain components, or different components, such as input / output devices, network access devices, etc. Input / output devices may include cameras, audio acquisition / playback devices, displays, etc. Network access devices may include network modules for wireless network communication with external devices.
[0047] In applications, the processor can be a Central Processing Unit (CPU), but it can also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor or any conventional processor.
[0048] In applications, the memory may be an internal storage unit of the terminal device in some embodiments, such as the hard drive or RAM of the terminal device. In other embodiments, the memory may be an external storage device of the terminal device, such as a plug-in hard drive, Smart Media Card (SMC), Secure Digital (SD) card, or Flash Card. The memory may also include both internal and external storage units of the terminal device. The memory is used to store operating devices, applications, boot loaders, data, and other programs, such as program code for computer programs. The memory can also be used to temporarily store data that has been output or will be output.
[0049] This application implements all or part of the processes in the methods of the above embodiments, which can be accomplished by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable file, or some intermediate form. The computer-readable medium can include at least: any entity or device capable of carrying the computer program code to a terminal device, a recording medium, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium, such as a USB flash drive, a portable hard drive, a magnetic disk, or an optical disk.
[0050] Those skilled in the art will recognize that the device and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.
[0051] In the embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. Furthermore, the couplings or direct couplings or communication connections shown or discussed may be through some interfaces, or indirect couplings or communication connections between devices, and may be electrical, mechanical, or other forms.
[0052] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.
Claims
1. A method for evaluating the distribution of reinforcing phases in metal matrix composites, characterized in that, include: An ultrasonic probe is used to perform a two-dimensional scan of the test block to obtain a complete A-scan dataset of the entire detection area of the test block. The comprehensive intensity value of the backscattered signal of all scanning points within a time window of different positions or different time lengths of the backscattered signal of the test block is extracted to quantify the particle aggregation at different positions or ranges. The combined intensity value of the backscattered signals of all scanning points within the same time window is mapped to the image pixel intensity, thereby achieving tomographic imaging of enhanced phase particles.
2. The method for evaluating the distribution of reinforcing phases in metal matrix composites as described in claim 1, characterized in that, The method uses a water immersion ultrasonic C-scan system for data acquisition. The system includes an ultrasonic excitation and receiving unit, a motion control unit, a data acquisition unit, and a water immersion environment.
3. The method for evaluating the distribution of reinforcing phases in metal matrix composites as described in claim 1, characterized in that, The method uses an ultrasonic probe with a center frequency of 15MHz, a focal length of 76.2mm, and a spot diameter of 0.6mm for detection, with a scanning step size set to 0.5mm.
4. The method for evaluating the distribution of reinforcing phases in metal matrix composites as described in claim 1, characterized in that, The method defines the overall backscatter intensity at the focal position of the ultrasonic beam. To reflect the spatial distribution of SiC particles: In the formula, The time window is determined by the pulse width. As the focal point, V ( t () is a time-dependent backscattered signal. It involves rectifying the waveform within a time window to convert the radio frequency signal into a full-wave signal.
5. The method for evaluating the distribution of reinforcing phases in metal matrix composites as described in claim 1, characterized in that, The method further includes: When ultrasound encounters SiC particle agglomerates, the backscattered wave exhibits an abnormally high amplitude signal. The location of SiC aggregates can be determined based on the propagation time and amplitude of the abnormal signal.
6. The method for evaluating the distribution of reinforcing phases in metal matrix composites as described in claim 1, characterized in that, The method defines the coefficient of variation of the comprehensive backscatter intensity. CV As a quantitative indicator of the overall non-uniformity of materials: in, and These are the standard deviation and mean of the overall backscatter intensity, respectively.
7. A device for evaluating the distribution of reinforcing phases in a metal matrix composite material, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the method for evaluating the distribution of reinforcing phases in metal matrix composites as described in any one of claims 1 to 6.