Analysis method for rapidly identifying fracture failure mechanism of alloy material based on X-ray energy spectrum imaging

Abstract

According to the analysis method for rapidly identifying the failure mechanism of the fracture of the alloy material based on X-ray energy spectrum imaging, the advantages of X-ray energy spectrum imaging are utilized, and the damage mechanism of hard inclusions of the alloy material is rapidly and accurately judged in an image visualization mode. X-ray energy spectrum imaging (X-ray mapping) is carried out on different typical characteristic elements, image change and calculation processing are carried out, and whether particle breakage or debonding happens to each hard inclusion is rapidly given, so that support is provided for metal material damage and failure mechanism research, damage and failure criterion establishment and the like.

Description

Technical Field

[0001] The invention belongs to the research field of failure mechanism of metal materials, and specifically relates to an analysis method for rapidly identifying the failure mechanism of alloy material fracture based on X-ray energy spectrum imaging. Background Art

[0002] Metal alloy materials often contain many microscopic granular hard inclusions, and particle fracture (Fracture) and debonding (Debonding) are two important fracture mechanisms of metal alloy materials. The so-called particle fracture refers to the fracture of the hard inclusion particles themselves, which leads to the fracture of the material; while debonding refers to the fact that the hard inclusion particles themselves do not break, but debond at the interface between the hard inclusion particles and the matrix. Accurate judgment of particle fracture and debonding is very important for the study of damage and failure mechanisms of metal materials and the establishment of damage and failure criteria, thereby providing support for process improvement, strength assessment and life prediction of metal alloy materials.

[0003] X-ray spectroscopy is a detection method that obtains the required information by irradiating the sample surface with X-rays and emitting photoelectrons. Its high recognition of the chemical characteristics of the sample surface and good sensitivity to the chemical state of the elements make it an important technical means for material surface analysis. In principle, it can determine all elements in the periodic table except hydrogen and helium. X-ray mapping can obtain the distribution map of one or several specific elements on the sample surface.

[0004] The traditional method of judging the failure mechanism of alloy material fracture is mainly based on the observation of scanning electron microscope. The method of manually identifying particle fracture and debonding in all areas one by one at two fractures is inefficient and labor-intensive. To this end, the present invention takes advantage of X-ray energy spectrum analysis imaging and proposes an analysis method for quickly identifying the failure mechanism of alloy material fracture based on X-ray energy spectrum imaging. Summary of the invention

[0005] The purpose of the present invention is to overcome the shortcomings of the prior art and propose an analysis method for quickly identifying the failure mechanism of alloy material fracture based on X-ray energy spectrum imaging, which is used to quickly distinguish between particle fracture and debonding mechanism when metal alloy materials fracture, and provide support for the research on damage and failure mechanism of metal materials and the establishment of damage and failure criteria.

[0006] The present invention provides an analysis method for rapidly identifying the failure mechanism of alloy material fracture based on X-ray energy spectrum imaging, the method comprising the following steps: step 1, understanding the microscopic composition of hard inclusions of the material, and selecting a unique characteristic element corresponding to a certain hard inclusion; step 2, performing X-ray energy spectrum imaging (X-ray mapping) on ​​the fracture surfaces of both sides of the metal material after fracture by using X-ray energy spectrum analysis, obtaining the distribution diagram of each characteristic element on both sides of the fracture, and determining the failure mechanism of the characteristic element corresponding to the specific hard inclusion by calculating and analyzing the characteristic diagram of the characteristic element.

[0007] The above-mentioned analysis method for quickly identifying the fracture failure mechanism of alloy materials based on X-ray energy spectrum imaging, in step one, understands the microscopic composition of the hard inclusions of the material, and selects the unique characteristic elements corresponding to a certain hard inclusion, which specifically includes the following steps: through scanning electron microscopy or related literature and other methods, it is determined that the alloy material has a total of n types of hard inclusions such as P1, P2...Pn, and selects their corresponding characteristic elements E1, E2...En respectively. In principle, the corresponding characteristic elements only exist in the hard inclusions. If there are cases where the characteristic elements are not obvious, elements with as few repetitions as possible should be selected as characteristic elements so that they can be extracted through imaging operations in the calculation and analysis of step two.

[0008] The above-mentioned analysis method for quickly identifying the failure mechanism of alloy material fracture based on X-ray spectrum imaging, in step 2, uses X-ray spectrum analysis to perform X-ray spectrum imaging (X-ray mapping) on ​​the fracture surfaces on both sides of the metal material after fracture, obtains the distribution map of each characteristic element on the fracture surfaces on both sides, and determines the failure mechanism of the characteristic element corresponding to the specific hard inclusion by calculating and analyzing the characteristic map of the characteristic element. Specifically, it includes the following steps: using X-ray spectrum analysis to perform X-ray spectrum imaging (X-ray mapping) on ​​the fracture surfaces on both sides of a certain metal material test piece after fracture, and obtains the distribution map of n characteristic elements such as E1, E2...En on the fracture surfaces on both sides, wherein the corresponding distribution map on one side is named A1, A2...An, and the corresponding distribution map on the other side is named B1, B2...Bn, and then the image symmetry and rotation operation means are used to transform B1, B2...Bn into C1, C2...Cn, and after the change, the same position of Cn and An in the image coordinate system corresponds to the same physical space position in the test piece. For the case where the characteristic elements and hard inclusions in step 1 correspond one to one, the binary images of A1, A2...An and the binary images of C1, C2...Cn are used for image difference analysis. The consistency between the two indicates that the particles corresponding to the surface characteristic elements are on both sides of the fracture, so the failure mechanism is particle fracture; the inconsistency between the two indicates that the particles corresponding to the surface characteristic elements are only on one side of the fracture, so the failure mechanism is particle debonding. For the case where the characteristic elements and hard inclusions in step one do not completely correspond one-to-one, for the particles Px that cannot be matched one-to-one, the distribution diagrams A'x and C'x corresponding to the particles Px should be analyzed in advance through addition and subtraction operations between A1, A2...An and C1, C2...Cn, and then the binary images of A'x and C'x are used for image difference analysis. The consistency between the two means that the particles corresponding to the surface characteristic elements are on both sides of the fracture, so the failure mechanism is particle fracture; the inconsistency between the two means that the particles corresponding to the surface characteristic elements are only on one side of the fracture, so the failure mechanism is particle debonding.

[0009] The beneficial effects of the present invention are as follows:

[0010] The present invention performs X-ray spectrum imaging (X-ray mapping) on ​​different typical characteristic elements, performs image changes and calculation processing, and quickly gives whether each hard inclusion has particle fracture or debonding, thereby providing support for the research on the damage and failure mechanism of metal materials and the establishment of damage and failure criteria. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] The accompanying drawings constituting a part of the present application are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention:

[0012] Figure 1 The microscopic composition, characteristic element selection and the relationship between the characteristic elements and the microscopic composition of the A319 aluminum-silicon alloy material of the embodiment of the present invention;

[0013] Figure 2 is a schematic diagram of a process for determining particle fracture and debonding mechanisms according to an embodiment of the present invention;

[0014] Figure 3 This is an illustration of image preprocessing in the case where the characteristic elements of an embodiment of the present invention cannot completely correspond one-to-one with the hard inclusions. DETAILED DESCRIPTION

[0015] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0016] This embodiment provides an analysis method for quickly identifying the failure mechanism of alloy material fracture based on X-ray energy spectrum imaging, and the method comprises the following steps:

[0017] Step 1: Understand the microscopic composition of the hard inclusions in the material and select the unique characteristic elements corresponding to a certain hard inclusion;

[0018] Step 2: Use X-ray spectrum analysis to perform X-ray spectrum imaging (X-ray mapping) on ​​both sides of the fractured metal material to obtain the distribution map of each characteristic element on both sides of the fracture. By calculating and analyzing the characteristic map of the characteristic element, the failure mechanism of the characteristic element corresponding to the specific hard inclusion is determined.

[0019] Preferably, in step 1, understanding the microscopic composition of the hard inclusions of the material and selecting the unique characteristic elements corresponding to a certain hard inclusion specifically include the following steps:

[0020] It is determined by scanning electron microscopy or related literature that the A319 aluminum-silicon alloy material of this embodiment has six hard inclusions, namely eutectic Si, α(AlFeMnSi), β(AlFeSi), Al2Cu, AlCuMgSi, and Pb, and the rest are Al matrix. The characteristic elements corresponding to Si, α(AlFeMnSi), β(AlFeSi), Al2Cu, AlCuMgSi, and Pb are Si, Mn, Fe, Cu, Mg, and Pb, respectively. This is because the distribution of eutectic Si can be obtained by subtracting the distribution images of Fe and Mg from the distribution image of Si, the distribution of α(AlFeMnSi) corresponds one-to-one to the distribution image of Mn, the image of β(AlFeSi) can be obtained by subtracting the distribution image of Mn from the distribution image of Fe, the distribution of Al2Cu can be obtained by subtracting the distribution image of Mg from the distribution image of Cu, the distribution of AlCuMgSi corresponds one-to-one to the distribution image of Mg, and the distribution of Pb particles corresponds one-to-one to the distribution image of Pb, as shown in FIG. Figure 1 shown.

[0021] Preferably, in step 2, X-ray spectrum analysis is used to perform X-ray spectrum imaging (X-ray mapping) on ​​the fracture surfaces of the metal material after fracture, and a distribution diagram of each characteristic element on the fracture surfaces on both sides is obtained. By calculating and analyzing the characteristic diagram of the characteristic element, determining the failure mechanism of the characteristic element corresponding to the specific hard inclusion specifically includes the following steps:

[0022] X-ray spectrum analysis was used to perform X-ray spectrum imaging (X-ray mapping) on ​​the fracture surfaces on both sides of the A319 aluminum-silicon alloy specimen after fracture, and the distribution diagrams of six characteristic elements, including Si, Mn, Fe, Cu, Mg, and Pb, on the fracture surfaces on both sides were obtained. The corresponding distribution diagrams on one side were named A1, A2...A6, and the corresponding distribution diagrams on the other side were named B1, B2...B6. Then, the image symmetry and rotation operations were used to transform B1, B2...B6 into C1, C2...C6. After the change, the same position of Cn and An in the image coordinate system corresponds to the same physical space position in the specimen. For the case where the characteristic elements in step 1 correspond to the hard inclusions completely, that is, the case of Mn, Mg and Pb, the binary images of A2, A5, A6 and the binary images of C2, C5, C6 are used for image difference analysis. The consistent parts of the two represent that the particles corresponding to the surface characteristic elements are on both sides of the fracture, so the failure mechanism is particle fracture; the inconsistent parts represent that the particles corresponding to the surface characteristic elements are only on one side of the fracture, so the failure mechanism is particle debonding, such as Figure 2As shown. For the case where the characteristic elements and hard inclusions in step 1 do not completely correspond one to one, for the eutectic Si, β (AlFeSi) and Al2Cu particles that cannot correspond one to one, first use the addition and subtraction operations between A1, A2...A5 and C1, C2...C5 corresponding to Si, Mn, Fe, Cu, Mg to parse the distribution diagrams corresponding to eutectic Si, β (AlFeSi) and Al2Cu, where A'1 = A1-A3-A5, C'1 = C1-C3-C5 of eutectic Si; A'3 = A3-A2, C'3 = C3-C2 of β (AlFeSi), as shown. Figure 3 As shown; A'4=A4-A5, C'4=C4-C5 of Al2Cu. Then, the image difference analysis of A'1, A'3, A'4 and C'1, C'3, C'4 is used to determine the failure mechanism of eutectic Si, β(AlFeSi) and Al2Cu. The consistency between the two indicates that the particles corresponding to the surface characteristic elements are on both sides of the fracture, so the failure mechanism is particle fracture; the inconsistency between the two indicates that the particles corresponding to the surface characteristic elements are only on one side of the fracture, so the failure mechanism is particle debonding.

[0023] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. An analytical method for rapidly identifying alloy material fracture failure mechanisms based on X-ray energy spectrum imaging, characterized in that: The steps include: Step 1: Understand the microscopic composition of the hard inclusions in the material and select the unique characteristic elements corresponding to the hard inclusions; Step 2: Use X-ray spectrum analysis to perform X-ray spectrum imaging (X-ray mapping) on ​​both sides of the fractured metal material to obtain the distribution map of each characteristic element on both sides of the fracture. By calculating and analyzing the characteristic element characteristic map, the destruction mechanism of the characteristic element corresponding to the specific hard inclusion is determined.

2. The method for rapidly identifying alloy material fracture failure mechanism based on X-ray energy spectrum imaging according to claim 1, characterized in that: The method of understanding the microscopic composition of the hard inclusions of the material and selecting the unique characteristic elements corresponding to the hard inclusions includes the following steps: It is determined that the alloy material has n kinds of hard inclusions, such as P1, P2...Pn, and the corresponding characteristic elements are selected as E1, E2...En, respectively, to ensure that the corresponding characteristic elements only exist in the hard inclusions.

3. The method for rapidly identifying alloy material fracture failure mechanism based on X-ray energy spectrum imaging according to claim 2, characterized in that: If there is a situation where the characteristic element is not obvious, an element with less repetition should be selected as the characteristic element.

4. The method for rapidly identifying alloy material fracture failure mechanism based on X-ray energy spectrum imaging according to claim 3, characterized in that: The X-ray spectrum analysis is used to perform X-ray spectrum imaging (X-ray mapping) on ​​the fracture surfaces of the metal material after fracture, and the distribution diagram of each characteristic element on the fracture surfaces on both sides is obtained. The characteristic element characteristic diagram is calculated and analyzed to determine the failure mechanism of the characteristic element corresponding to the specific hard inclusion, including the following steps: X-ray spectrum analysis is used to perform X-ray spectrum imaging (X-raymapping) on ​​the fracture surfaces on both sides of the metal material test piece after fracture, and the distribution diagrams of n characteristic elements such as E1, E2...En on the fracture surfaces on both sides are obtained. The corresponding distribution diagrams on one side are named A1, A2...An, and the corresponding distribution diagrams on the other side are named B1, B2...Bn. Then, the image symmetry and rotation operations are used to transform B1, B2...Bn into C1, C2...Cn. After the change, the same position of Cn and An in the image coordinate system corresponds to the same physical space position in the test piece. For the case where the characteristic elements and hard inclusions in step 1 correspond one to one, the binary images of A1, A2...An and the binary images of C1, C2...Cn are used for image difference analysis. The consistent parts of the two represent that the particles corresponding to the surface characteristic elements are on both sides of the fracture, and the failure mechanism is particle fracture; the inconsistent parts represent that the particles corresponding to the surface characteristic elements are only on one side of the fracture, and the failure mechanism is particle debonding.

5. The method for rapidly identifying alloy material fracture failure mechanism based on X-ray energy spectrum imaging according to claim 4, characterized in that: For the case where the characteristic elements and hard inclusions in step one do not completely correspond one-to-one, for the particles Px that cannot be matched one-to-one, the distribution diagrams A'x and C'x corresponding to the particles Px should be analyzed in advance through addition and subtraction operations between A1, A2...An and C1, C2...Cn, and then the binary image of A'x and the binary image of C'x are used for image difference analysis. The consistency between the two means that the particles corresponding to the surface characteristic elements are on both sides of the fracture, and the failure mechanism is particle fracture; the inconsistency between the two means that the particles corresponding to the surface characteristic elements are only on one side of the fracture, and the failure mechanism is particle debonding.

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