A method of processing and computer program based on a double-layer magneto-acoustic material

Abstract

This disclosure relates to the field of magnetoacoustic materials technology, and particularly to a processing method and computer program based on a double-layer magnetoacoustic material. Based on a preset target, a first density, a first elastic modulus, and a first Poisson's ratio are set, thereby determining a first frequency range of the incident wave. The second frequency of the incident wave is determined by traversing the first frequency range. Then, the first parameter information range of the elastic outer layer is adjusted sequentially to finally determine the second density, second elastic modulus, and second Poisson's ratio of the elastic outer layer. Thus, the material of the elastic outer layer can be matched based on the second parameter information. Therefore, the design of the elastic outer layer can be optimized based on the coupling of the double-layer structure, enabling the double-layer structure to adapt to different sound field conditions and scattering angles.

Description

Technical Field

[0001] This disclosure relates to the field of magnetoacoustic materials technology, and in particular to a processing method and computer program based on a double-layer magnetoacoustic material. Background Technology

[0002] Currently, there is limited research on multilayer magnetoacoustic materials, and the design methods for multilayer magnetoacoustic materials are usually quite simple, failing to fully consider the coupling effect between multilayer structures and the overall control effect of magnetic fields on multilayer materials.

[0003] Therefore, designing a multilayer magnetoacoustic material that takes into account the coupling effect between multilayer structures in complex sound fields has become a technical problem that urgently needs to be solved in the field of acoustic materials. Summary of the Invention

[0004] This disclosure provides a processing method and computer program based on a double-layer magnetoacoustic material, which solves the problem of limited controllability of double-layer magnetoacoustic materials in complex sound field environments by optimizing the design of the elastic outer layer parameter information.

[0005] In a first aspect, this disclosure provides a processing method based on a double-layer magnetoacoustic material, the double-layer magnetoacoustic material comprising an elastic outer layer and a supermagnetostrictive inner layer, the elastic outer layer covering the supermagnetostrictive inner layer, the processing method comprising: determining a preset target, the preset target including an external sound field target and / or a scattered sound field target; determining first parameter information of the elastic outer layer, the first parameter information of the elastic outer layer including at least one or more of a first density, a first elastic modulus, and a first Poisson's ratio of the elastic outer layer; determining a first frequency range of an incident wave based on the preset target and / or the first parameter information of the elastic outer layer; determining a second frequency of the incident wave based on the scattered sound field of each first frequency in the first frequency range of the incident wave; and adjusting the first parameter information range of the elastic outer layer based on the second frequency of the incident wave to determine the second parameter information of the elastic outer layer, wherein the second parameter information is located within the first parameter information range.

[0006] In some embodiments, determining a first frequency range of the incident wave based on a preset target and / or parameter information of the elastic outer layer includes: traversing a second frequency range of the incident wave and determining the first frequency range based on the preset target.

[0007] In some embodiments, determining the second parameter information of the elastic outer layer by adjusting the first parameter information range of the elastic outer layer based on the second frequency of the incident wave includes: determining the first parameter information range of the elastic outer layer based on the first density, the first elastic modulus, and the first Poisson's ratio of the elastic outer layer; and traversing the first parameter information range of the elastic outer layer to determine the second parameter information of the elastic outer layer based on the second frequency of the incident wave; wherein the first parameter information range includes one or more of the first density range, the first elastic modulus range, and the first Poisson's ratio range of the elastic outer layer.

[0008] In some embodiments, traversing the first parameter information range of the elastic outer layer and determining the second parameter information of the elastic outer layer based on the second frequency of the incident wave includes: traversing the first density range of the elastic outer layer based on the second frequency of the incident wave, the first elastic modulus of the elastic outer layer, and the first Poisson's ratio of the elastic outer layer; and determining the second density of the elastic outer layer based on a preset target.

[0009] In some embodiments, the processing method further includes: traversing a first elastic modulus range of the elastic outer layer based on a second frequency of the incident wave, a second density of the elastic outer layer, and a first Poisson's ratio of the elastic outer layer; and determining a second elastic modulus of the elastic outer layer based on a preset target.

[0010] In some embodiments, the processing method further includes: traversing a first Poisson's ratio range of the elastic outer layer based on a second frequency of the incident wave, a second density of the elastic outer layer, and a second elastic modulus of the elastic outer layer; and determining a second Poisson's ratio of the elastic outer layer based on a preset target.

[0011] In some embodiments, the processing method further includes: configuring the supermagnetostrictive inner layer as a pseudo-binary intermetallic compound, wherein the radius of the supermagnetostrictive inner layer is configured to be 2 mm; and configuring the elastic outer layer to have a radius of 5 mm.

[0012] In some embodiments, the processing method further includes: configuring a first frequency range of the incident wave to be within a range where the frequency of the incident wave is greater than 40 kHz; and configuring a first density range of the elastic outer layer to be within a range where the density of the elastic outer layer is less than 6000 kg / m³. 3 Within the range, the first elastic modulus range of the elastic outer layer is configured to be within the range where the elastic modulus of the elastic outer layer is greater than 1 GPa and less than 100 GPa, and the first Poisson's ratio range of the elastic outer layer is configured to be within the range where the Poisson's ratio of the elastic outer layer is greater than 0.01 and less than 0.49.

[0013] In a second aspect, this disclosure provides a computer device including a memory, a processor, and a computer program stored in the memory, wherein the processor executes the computer program to implement the steps of the above-described method.

[0014] Thirdly, this disclosure provides a computer program product, including a computer program / instructions that, when executed by a processor, implement the steps of the above-described method.

[0015] This disclosure provides a processing method and computer program based on a double-layer magnetoacoustic material. The method involves setting a first density, a first elastic modulus, and a first Poisson's ratio for the elastic outer layer based on a preset target. This determines a first frequency range for the incident wave. The method then iterates through this first frequency range to obtain the second frequency of the incident wave corresponding to the optimal solution. Based on this second frequency, the first density range, the first elastic modulus range, and the first Poisson's ratio range of the elastic outer layer are sequentially adjusted. The second density, the second elastic modulus, and the second Poisson's ratio of the elastic outer layer are obtained from the optimal solution. This optimizes the design of the double-layer structure, resulting in an elastic outer layer that considers the coupling effect between the two layers, thereby improving the accuracy of the scattered sound field. Attached Figure Description

[0016] The present disclosure will be described in more detail below based on embodiments and with reference to the accompanying drawings:

[0017] Figure 1 This is a schematic diagram of a double-layer magnetoacoustic material provided in an embodiment of the present disclosure.

[0018] Figure 2 The flowchart illustrates a processing method based on a double-layer magnetoacoustic material according to an embodiment of the present disclosure.

[0019] Figure 3 The flowchart illustrates another processing method based on a double-layer magnetoacoustic material according to an embodiment of the present disclosure.

[0020] Figure 4 The flowchart illustrates another processing method based on a double-layer magnetoacoustic material according to an embodiment of the present disclosure.

[0021] Figure 5 The flowchart illustrates another processing method based on a double-layer magnetoacoustic material according to an embodiment of the present disclosure.

[0022] Figure 6 A schematic diagram illustrating plane wave scattering of a bilayer elastomagnetic material according to an embodiment of the present disclosure is shown.

[0023] Figure 7 The diagram illustrates the maximum value of the scattered sound field under different conditions calculated using MATLAB software according to an embodiment of the present disclosure, where the incident wave frequency is changed.

[0024] Figure 8The diagram illustrates the maximum value of the scattered sound field under different conditions calculated using MATLAB software according to an embodiment of the present disclosure, by changing the density of the outer material.

[0025] Figure 9 The diagram illustrates the maximum value of the scattered sound field of the outer material's elastic modulus under different conditions calculated using MATLAB software according to embodiments of the present disclosure.

[0026] Figure 10 The diagram illustrates the maximum value of the Poisson's ratio scattered sound field of the outer material under different conditions calculated using MATLAB software according to embodiments of the present disclosure.

[0027] Figure 11 A block diagram of a computer device according to an embodiment of the present disclosure is shown schematically.

[0028] Figure 12 A block diagram illustrating a computer program product according to an embodiment of the present disclosure is shown schematically.

[0029] Figure 13 The diagram illustrates the maximum value of the scattered sound field under intermediate conditions calculated using MATLAB software according to an embodiment of the present disclosure.

[0030] Figure 14 The diagram illustrates a scattered sound field under intermediate conditions with varying frequencies, simulated using COMSOL software and plotted using MATLAB software, according to an embodiment of the present disclosure.

[0031] Figure 15 The diagram illustrates a scattered sound field under varying outer material density, simulated using COMSOL software and plotted using MATLAB software, according to an embodiment of the present disclosure.

[0032] Figure 16 The diagram illustrates a scattered sound field under varying elastic modulus of the outer material, simulated using COMSOL software and plotted using MATLAB software, according to an embodiment of the present disclosure.

[0033] Figure 17 The illustration schematically depicts the scattered sound field under varying Poisson's ratio of the outer material, simulated using COMSOL software and plotted using MATLAB software, according to an embodiment of the present disclosure.

[0034] In the accompanying drawings, the same parts are referred to by the same reference numerals, and the drawings are not drawn to scale. Detailed Implementation

[0035] To enable those skilled in the art to better understand the technical solutions of this disclosure, and to fully understand and implement the process of how this disclosure applies technical means to solve technical problems and achieve corresponding technical effects, the technical solutions in the embodiments of this disclosure will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this disclosure, not all embodiments. The embodiments of this disclosure and the various features within them can be combined with each other without conflict, and the resulting technical solutions are all within the protection scope of this disclosure. All other embodiments obtained by those skilled in the art based on the embodiments of this disclosure without creative effort should fall within the protection scope of this disclosure.

[0036] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this disclosure are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this disclosure described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0037] It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases the steps shown or described may be executed in a different order than that shown here.

[0038] Figure 1 A schematic diagram of a double-layer magnetoacoustic material according to an embodiment of the present disclosure is shown.

[0039] like Figure 1 As shown, the double-layer elastic magnetostrictive acoustic material 100 includes an elastic outer layer 101 and a super-magnetostrictive inner layer 102, with the elastic outer layer 101 covering the super-magnetostrictive inner layer 102. The elastic outer layer 101 is mainly composed of a material with a high elastic modulus, providing both mechanical strength and flexibility, and effectively transmitting and initially modulating sound waves, exhibiting excellent acoustic performance, especially in different frequency ranges. The super-magnetostrictive inner layer 102 is made of a material with a strong magnetostrictive effect, capable of significantly altering its acoustic characteristics under the influence of an external magnetic field, thereby achieving dynamic control over the sound wave propagation path and characteristics.

[0040] Based on the combined design of inner and outer layers, the double-layer elastic magnetoacoustic material 100 has both good elasticity and adaptability, and can achieve complex acoustic responses under magnetic field regulation, making it suitable for a variety of engineering application scenarios.

[0041] Through the embodiments of this disclosure, under the conditions of a fixed external sound field, a magnetostrictive inner layer material, and a magnetostrictive inner layer size, a suitable elastic outer layer material can be selected based on the frequency of the incident wave to optimize the material's structural design and magnetic field configuration, thereby achieving precise control of the scattered sound field.

[0042] Through the embodiments of this disclosure, the dual-layer structure, combined with the magnetostrictive effect, enables the material to precisely control the propagation and scattering characteristics of sound waves over a wider frequency range, thereby meeting the control requirements in complex acoustic environments. Simultaneously, the dual-layer design effectively improves the overall performance of the material, including better acoustic isolation and sound wave guidance, thus demonstrating excellent performance in noise reduction, acoustic stealth, and other fields.

[0043] Figure 2 The flowchart illustrates a processing method based on a double-layer magnetoacoustic material according to an embodiment of the present disclosure.

[0044] like Figure 2 As shown, the processing method includes steps S201, S202, S203, S204 and S205.

[0045] S201. Determine the preset target, which includes external sound field target and / or scattered sound field target.

[0046] In the embodiments of this disclosure, a preset target can be determined according to the application scenario. For example, the double-layer magnetoacoustic material is used in oil exploration or other engineering projects. The preset target may include external sound field conditions and desired scattering characteristics.

[0047] In embodiments of this disclosure, the external acoustic field conditions can be acoustic wave transmission media included in a defined application scenario. For example, in oil exploration, when studying fractures and cavities in rock formations, these fractures and cavities may be filled with formation fluids, which may include oil, natural gas, or brine.

[0048] In the embodiments of this disclosure, the scattered sound field can be determined based on the application scenario. For example, the required conditions for the scattered sound field may be: the sound field is strongest at 0°, and it needs to reach 100% of the original sound field in the range of -30° to 30°, while the sound field is weakest at 180°. And so on, without limitation.

[0049] S202. Determine the first parameter information of the elastic outer layer. The first parameter information of the elastic outer layer includes at least one or more of the first density of the elastic outer layer, the first elastic modulus of the elastic outer layer, and the first Poisson's ratio of the elastic outer layer.

[0050] In embodiments of this disclosure, the values ​​of first parameter information of the elastic outer layer can be determined. For example, the values ​​of the first density, the first elastic modulus, and the first Poisson's ratio of the elastic outer layer can be determined.

[0051] In embodiments of this disclosure, the value of the first parameter information can be selected from a range of values ​​for the first parameter information of the elastic outer layer. The parameter information of the elastic outer layer includes its density, elastic modulus, and Poisson's ratio. The range of values ​​for the first parameter information of the elastic outer layer can be determined based on a preset target. For example, according to the characteristics of the sound field, excessive density can cause the scattered sound field to become overly sensitive and may also lead to a significant reduction in the maximum value of the scattered sound field. Therefore, a reasonable range of density values ​​can be selected, such as a density less than 6000 kg / m³. 3 This represents the range of values ​​for the density of the elastic outer layer. Furthermore, it can be used when the density is less than 6000 kg / m³. 3 Within this range of values, any value is selected as the value of the first density of the elastic outer layer.

[0052] S203. Based on the first parameter information of the preset target and / or the elastic outer layer, determine the first frequency range of the incident wave.

[0053] Figure 3 The flowchart illustrates another processing method based on a double-layer magnetoacoustic material according to an embodiment of the present disclosure.

[0054] In some embodiments, first parameter information of the elastic outer layer is determined, and a first frequency range of the incident wave is determined based on a preset target and / or the first parameter information of the elastic outer layer, including S301.

[0055] S301. Traverse the second frequency range of the incident wave and determine the first frequency range based on the preset target.

[0056] In embodiments of this disclosure, the second frequency range of the incident wave can be determined based on a preset target. For example, the preset target includes: making the peak value of the scattered sound wave greater than 50% of the original sound field, then the corresponding frequency is greater than 40kHz. Therefore, the second frequency range of the incident wave can be greater than 40kHz.

[0057] In the embodiments of this disclosure, the first frequency range of the incident wave can be determined based on the determined first density of the elastic outer layer, the first elastic modulus of the elastic outer layer, the first Poisson's ratio of the elastic outer layer, external sound field conditions, and scattered sound field conditions. This is achieved by using MATLAB to iterate through each frequency within the second frequency range of the incident wave, based on the peak values ​​of the scattered sound field at different frequencies. The first frequency range of the incident wave can also be a segment selected from the peak values ​​of the scattered sound field at each frequency within the second frequency range, conforming to a preset target.

[0058] Through embodiments of this disclosure, a first frequency range of the incident wave most suitable for a preset target is selected based on the first parameter information of the elastic outer layer. This allows for more accurate final design results, particularly in terms of acoustic response in the low-frequency range and adaptability in dynamic environments.

[0059] S204. Determine the second frequency of the incident wave based on the scattered sound field of each first frequency in the first frequency range of the incident wave.

[0060] In the embodiments of this disclosure, COMSOL is used for simulation based on the first frequency range of the incident wave determined in step S202. The second frequency of the incident wave is then determined based on the simulation results and a preset target. For example, COMSOL is used to simulate the first frequency to obtain schematic diagrams of the scattered sound field at different frequencies. Based on a preset target, such as making the scattered sound field weakest at 180°, the frequency corresponding to the condition where the scattered sound field is weakest at 180° can be selected from the schematic diagram, such as 100kHz. Therefore, 100kHz can be determined as the second frequency of the incident wave.

[0061] S205. Based on the second frequency of the incident wave, adjust the first parameter information range of the elastic outer layer to determine the second parameter information of the elastic outer layer, wherein the second parameter information is located within the first parameter information range.

[0062] In embodiments of this disclosure, the second parameter information of the elastic outer layer includes at least one or more of the following: the second density of the elastic outer layer, the second elastic modulus of the elastic outer layer, and the second Poisson's ratio of the elastic outer layer.

[0063] In embodiments of this disclosure, based on a determined second frequency of the incident wave, the first density range, the first elastic modulus E1, and the Poisson's ratio of the elastic outer layer are adjusted sequentially to obtain the optimal simulation results. For example, when the second frequency of the incident wave is determined, different Poisson's ratio values ​​of the elastic outer layer are simulated based on the determined first density and the determined first elastic modulus of the elastic outer layer. The optimal value is then selected from multiple simulation results, and the Poisson's ratio corresponding to this optimal value is taken as the second Poisson's ratio of the elastic outer layer. Furthermore, based on the second frequency of the incident wave, the first density of the elastic outer layer, and the second Poisson's ratio of the elastic outer layer, different elastic modulus values ​​of the elastic outer layer are simulated to determine the second elastic modulus of the elastic outer layer. Finally, based on the second frequency of the incident wave, the second elastic modulus of the elastic outer layer, and the second Poisson's ratio of the elastic outer layer, different density values ​​of the elastic outer layer are simulated to determine the second density of the elastic outer layer.

[0064] Understandably, given a fixed second frequency of the incident wave, simulations can be performed using different density values ​​for the elastic outer layer, based on its first Poisson's ratio and first elastic modulus. This allows for the determination of the second density of the elastic outer layer. Furthermore, the second elastic modulus of the elastic outer layer can be determined based on the second frequency of the incident wave, its second density, and its first Poisson's ratio. In other words, given a fixed second frequency of the incident wave, the order in which the density, elastic modulus, and Poisson's ratio of the elastic outer layer are adjusted is not limited.

[0065] Figure 4 The flowchart illustrates another processing method based on a double-layer magnetoacoustic material according to an embodiment of the present disclosure.

[0066] In some embodiments, based on the second frequency of the incident wave, the first parameter information range of the elastic outer layer is adjusted to determine the second parameter information of the elastic outer layer, including S401 and S402.

[0067] S401. Based on the first density of the elastic outer layer, the first elastic modulus of the elastic outer layer, and the first Poisson's ratio of the elastic outer layer, determine the first parameter information range of the elastic outer layer.

[0068] In embodiments of this disclosure, the range of the first parameter information of the elastic outer layer is within the value range of the first parameter information of the elastic outer layer. For example, based on a preset target, the value range of the elastic outer layer density is determined to be less than 6000 kg / m³. 3 Therefore, the value of the first density of the elastic outer layer can be selected from this range, for example, 4000 kg / m³. 3As the first density value of the elastic outer layer, a first density range of the elastic outer layer can be determined based on this first density value. For example, the first density range of the elastic outer layer can be determined to be 3000 kg / m³. 3 ~5000kg / m 3 The first density range is 3000 kg / m³. 3 ~5000kg / m 3 The density range is less than 6000 kg / m³ 3 Inside.

[0069] In embodiments of this disclosure, the numerical value of the determined first parameter information of the elastic outer layer can be used as an intermediate value to determine the range of the first parameter information of the elastic outer layer. For example, the first density of the elastic outer layer is determined to be 4000 kg / m³. 3 Then the first density is 4000 kg / m³ 3 This serves as the midpoint of the first density range. The first density range can be 2000 kg / m³. 3 ~6000kg / m 3 Alternatively, the first density range could be 3000 kg / m³. 3 ~5000kg / m 3 ,etc.

[0070] S402. Traverse the first parameter information interval of the elastic outer layer, and determine the second parameter information of the elastic outer layer based on the second frequency of the incident wave; wherein, the first parameter information interval includes one or more of the first density interval, the first elastic modulus interval, and the first Poisson's ratio interval of the elastic outer layer.

[0071] In embodiments of this disclosure, the first Poisson's ratio interval of the elastic outer layer can be traversed based on the second frequency of the incident wave, the first density of the elastic outer layer, and the first elastic modulus of the elastic outer layer. The second Poisson's ratio of the elastic outer layer is determined from multiple simulation results. Then, based on the second frequency of the incident wave, the second Poisson's ratio of the elastic outer layer, and the first elastic modulus of the elastic outer layer, the first density interval of the elastic outer layer is traversed. The second density of the elastic outer layer is determined from multiple simulation results. Finally, based on the second frequency of the incident wave, the second Poisson's ratio of the elastic outer layer, and the second density of the elastic outer layer, the second elastic modulus interval of the elastic outer layer is traversed to determine the second elastic modulus of the elastic outer layer.

[0072] In embodiments of this disclosure, the first density interval of the elastic outer layer can be traversed based on the second frequency of the incident wave, the first Poisson's ratio of the elastic outer layer, and the first elastic modulus of the elastic outer layer. The second density of the elastic outer layer is determined from multiple simulation results. Then, based on the second frequency of the incident wave, the second density of the elastic outer layer, and the first elastic modulus of the elastic outer layer, the first Poisson's ratio interval of the elastic outer layer is traversed. The second Poisson's ratio of the elastic outer layer is determined from multiple simulation results. Then, based on the second frequency of the incident wave, the second Poisson's ratio of the elastic outer layer, and the second density of the elastic outer layer, the first elastic modulus interval of the elastic outer layer is traversed to determine the second elastic modulus of the elastic outer layer. It is understood that the order in which the first density interval, the first elastic modulus interval, and the first Poisson's ratio interval of the elastic outer layer are traversed is not limited herein.

[0073] Figure 5 The flowchart illustrates another processing method based on a double-layer magnetoacoustic material according to an embodiment of the present disclosure.

[0074] In some embodiments, the second parameter information of the elastic outer layer is determined by traversing the first parameter information range of the elastic outer layer based on the second frequency of the incident wave, including S501, S502, and S503:

[0075] S501, based on the second frequency of the incident wave, the first elastic modulus of the elastic outer layer, and the first Poisson's ratio of the elastic outer layer, traverse the first density range of the elastic outer layer; and determine the second density of the elastic outer layer based on a preset target.

[0076] In the embodiments of this disclosure, simulations are performed using COMSOL software, and the scattered sound field under varying densities is plotted using MATLAB software. Therefore, based on the simulation results and / or the plotted graph, an optimal density value can be selected, which can then be used as the second density of the elastic outer layer.

[0077] S502, based on the second frequency of the incident wave, the second density of the elastic outer layer, and the first Poisson's ratio of the elastic outer layer, traverse the first elastic modulus range of the elastic outer layer; and based on a preset target, determine the second elastic modulus of the elastic outer layer.

[0078] S503, based on the second frequency of the incident wave, the second density of the elastic outer layer, and the second elastic modulus of the elastic outer layer, traverse the first Poisson's ratio range of the elastic outer layer; and based on a preset target, determine the second Poisson's ratio of the elastic outer layer.

[0079] Through the embodiments of this disclosure, given a determined second frequency of the incident wave, the parameters of the elastic outer layer are sequentially fixed and adjusted. This allows for the acquisition of second parameter information that best matches a preset target. Furthermore, based on this second parameter information, the most suitable material can be matched, thereby improving the accuracy of the scattered sound field.

[0080] Through the embodiments of this disclosure, based on a preset target, a first density, a first elastic modulus, and a first Poisson's ratio are set, thereby determining a first frequency range of the incident wave. By traversing this first frequency range, a second frequency of the incident wave is determined. Then, using the determined second frequency of the incident wave, the first parameter information range of the elastic outer layer is adjusted, ultimately determining the second density, second elastic modulus, and second Poisson's ratio of the elastic outer layer. This allows for matching the material of the elastic outer layer based on its second parameter information. Consequently, the scattering of sound waves within the material becomes more precise, improving the accuracy of the scattered sound field while exhibiting strong adaptability and excellent controllability.

[0081] In the embodiments of this disclosure, when an incident plane wave propagating along the x-direction encounters a double-layered elastic magnetoacoustic material centered at the origin, sound wave scattering occurs. The radius of the elastic outer layer is R, and the radius of the magnetoacoustic inner layer is r0. In spherical coordinates... The study is conducted in a region where θ = 0 is the positive x-axis. This problem is symmetric about the x-axis and is related to... Irrelevant, scattering diagram as follows Figure 6 As shown. Figure 6 A schematic diagram illustrating plane wave scattering of a bilayer elastomagnetic material according to an embodiment of the present disclosure is shown.

[0082] In the embodiments of this disclosure, the incident plane wave is expanded into a series of Legendre functions. Utilizing the orthogonality of the Legendre functions, the incident plane wave can be represented by spherical functions, as shown in the following equation:

[0083]

[0084] Therefore, without considering the magnetic field, the analytical solution for the scattered wave can be given as follows, where A l These are undetermined coefficients.

[0085]

[0086] Based on theoretical acoustics and Cramer's rule in mathematics, A l =-B l / D l B l As shown in the following formula.

[0087]

[0088] D l As shown in the following formula.

[0089]

[0090] As can be seen from the above formula, the sound field scattering characteristics of the bilayer elastic magnetoacoustic material are complex, involving a total of 11 parameters: the radius R, elastic modulus, density, and Poisson's ratio of the elastic outer layer; the radius r, elastic modulus, density, and Poisson's ratio of the magnetoacoustic inner layer; and the sound velocity, density, and frequency of the external sound field.

[0091] In the embodiments of this disclosure, when studying fractures and cavities in rock strata during oil exploration, oil is selected as the external sound field medium, with a sound velocity c = 1200 m / s and a density = 900 kg / m³. 3 .

[0092] In some embodiments, the processing method further includes: configuring the supermagnetostrictive inner layer as a pseudo-binary intermetallic compound, configuring the radius of the supermagnetostrictive inner layer as 2 mm; and configuring the radius of the elastic outer layer as 5 mm.

[0093] In the embodiments of this disclosure, a pseudobinary intermetallic compound Tb0.27Dy0.73Fe2 alloy, namely Terfenol-D, which exhibits good supermagnetic-striction effects, can be selected as the supermagnetic-striction inner layer. Its density is 8.5 g / cm³. 3 Its elastic modulus is 150 GPa and its Poisson's ratio is 0.3.

[0094] In the embodiments of this disclosure, to better adapt to the actual size of rock strata fissures, the radius of the elastic outer layer is set to R = 5 mm to ensure that the elastic outer layer can cover and handle the propagation and scattering of sound waves in the rock strata fissures. The radius of the magnetostrictive inner layer is set to r = 2 mm to precisely adjust the magnetic response of the local sound field inside the elastic outer layer, thereby optimizing the overall acoustic performance.

[0095] Through the embodiments of this disclosure, by introducing a dual-layer structure and optimizing the design process, higher precision and flexibility in sound field control can be achieved. Simultaneously, the propagation and scattering characteristics of sound waves can be effectively adjusted in diverse application scenarios, thereby meeting a wider range of engineering needs.

[0096] In some embodiments, the processing method further includes: configuring a first frequency range of the incident wave to be within a range where the frequency of the incident wave is greater than 40 kHz; and configuring a first density range of the elastic outer layer to be within a range where the density of the elastic outer layer is less than 6000 kg / m³. 3 Within the range, the first elastic modulus range of the elastic outer layer is configured to be within the range where the elastic modulus of the elastic outer layer is greater than 1 GPa and less than 100 GPa, and the first Poisson's ratio range of the elastic outer layer is configured to be within the range where the Poisson's ratio of the elastic outer layer is greater than 0.01 and less than 0.49.

[0097] In the embodiments of this disclosure, optimizing the scattered sound field includes two steps. First, the selected material must have a large scattered sound field; at r = R, the peak value of the scattered sound wave must be greater than 50% of the original sound field. Second, the scattered sound field of the selected material must possess the required directivity. In the embodiments of this disclosure, a sufficient but not necessary condition is first provided that the material must possess a large scattered sound field. Then, in specific implementations, specific directivity requirements for the scattered sound field are given, further calculating the most accurate material selection.

[0098] In the embodiments of this disclosure, the product kR of the wave number k of the incident wave and the radius R of the elastic outer layer is a dimensionless number, which determines the perturbation effect of the double-layer elastic magnetostrictive material on the sound field. Preferably, given a fixed outer layer material, the maximum value of the scattered sound field varies from 1 kHz to 100 kHz as follows: Figure 7 The MATLAB image is shown.

[0099] Figure 7 The diagram illustrates the maximum value of the scattered sound field under different conditions calculated using MATLAB software according to an embodiment of the present disclosure, where the incident wave frequency is changed.

[0100] Depend on Figure 7 As can be seen, the unit of frequency in the figure is kHz. The frequency f and the maximum value of the scattered sound field are not a monotonic function, but when f < 70kHz, it can be approximated as monotonically increasing. To make the peak value of the scattered sound wave greater than 50% of the original sound field, f should be greater than 40kHz, where f > 1. Furthermore, it can be seen that when f is fixed, among the three parameters of the outer material—elastic modulus, density, and Poisson's ratio—density has the greatest influence, followed by elastic modulus, and Poisson's ratio has the smallest influence.

[0101] Figure 8 The diagram illustrates the maximum value of the scattered sound field under different conditions calculated using MATLAB software according to an embodiment of the present disclosure, by changing the density of the outer material.

[0102] Figure 8 The material density of the elastic outer layer is from 1000 kg / m³. 3 Up to 10000 kg / m 3 The maximum value of the scattered sound field when it changes. Figure 8 Shape than Figure 7 The increased complexity indicates that density has a more significant impact on the scattered sound field. Excessive density not only makes the scattered sound field overly sensitive but may also significantly reduce its maximum value. Therefore, preferably, the density range is <6000 kg / m³. 3 .

[0103] Figure 9The diagram illustrates the maximum value of the scattered sound field of the outer material's elastic modulus under different conditions calculated using MATLAB software according to embodiments of the present disclosure.

[0104] Figure 9 This demonstrates the variation of the maximum value of the scattered sound field as the elastic modulus of the outer elastic layer changes from 1 GPa to 100 GPa. Figure 9 As can be seen in (a), when the elastic modulus varies between 1 GPa and 10 GPa, the maximum value of the scattered sound field exhibits significant fluctuations; however, when the elastic modulus further increases to between 10 GPa and 100 GPa, the fluctuation of the maximum value of the scattered sound field decreases significantly. Figure 9 This is more intuitively reflected in (b) of the text. Figure 9 Figure (b) shows the variation of the maximum value of the scattered sound field as the elastic modulus of the elastic outer layer changes from 10 GPa to 100 GPa. This result indicates that the elastic modulus of the elastic outer layer material is highly sensitive to the scattered sound field in the low range, while its influence tends to be stable in the higher range. Based on this, the range of elastic modulus values ​​can be from 1 GPa to 100 GPa. Preferably, if a larger scattered sound field is required, the elastic modulus should be selected in the range of 1 GPa to 10 GPa; if only the basic requirements of the scattered sound field need to be met, the value of the elastic modulus can be selected in the range of 10 GPa to 100 GPa.

[0105] Figure 10 The diagram illustrates the maximum value of the Poisson's ratio scattered sound field of the outer material under different conditions calculated using MATLAB software according to embodiments of the present disclosure.

[0106] Figure 10 This represents the maximum value of the scattered sound field as the Poisson's ratio of the elastic outer layer varies from 0.01 to 0.49. (From...) Figure 10 It can be seen that changes in Poisson's ratio did not cause significant fluctuations in the maximum value of the scattered sound field. This indicates that within the Poisson's ratio range, the scattered sound field is less sensitive to it, suggesting that the material's Poisson's ratio has a relatively small impact on the scattering effect within this range. Therefore, this parameter can be considered last when designing materials. Based on this, the range of Poisson's ratio can be from 0.01 to 0.49.

[0107] In some embodiments, the processing method further includes: determining, based on the determined second parameter information of the elastic outer layer, a material that best matches the second parameter information of the elastic outer layer, as the material for making the elastic outer layer.

[0108] Through embodiments of this disclosure, precise control of the scattered sound field can be achieved by optimizing the design of the bilayer elastic magnetoacoustic material. This design allows for optimization under different sound field conditions to meet specific requirements for scattering angle, frequency range, and scattering intensity, thereby providing extremely high design flexibility and performance improvement.

[0109] Figure 11 A block diagram of a computer device according to an embodiment of the present disclosure is shown schematically.

[0110] like Figure 11 As shown, the computer device 1100 of this embodiment includes a memory 1101 and a processor 1102.

[0111] Memory 1101 is used to store computer-readable instructions. Processor 1102 is used to execute the computer-readable instructions, causing the computer device to perform the processing method described above.

[0112] Figure 12 A block diagram illustrating a computer program product according to an embodiment of the present disclosure is shown schematically.

[0113] like Figure 12 As shown, a computer program product 1200 according to an embodiment of the present disclosure includes a computer program 1201, which implements the processing method described above when executed by a processor.

[0114] Example 1

[0115] Based on the above embodiments, this embodiment provides an application example.

[0116] S201. Determine the preset target, which includes external sound field conditions and / or scattered sound field conditions.

[0117] The external sound field conditions are as described above. The external sound field medium is oil, and the magnetostrictive inner layer is a Tb0.27Dy0.73Fe2 alloy with a radius of 2 mm. The elastic outer layer has a radius of 5 mm. The density of the elastic outer layer is less than 6000 kg / m³. 3 The elastic modulus ranges from 1 GPa to 100 GPa, and the Poisson's ratio ranges from 0.01 to 0.49.

[0118] In addition, it can be assumed that the required scattered sound field is strongest at 0°, and needs to reach 100% of the original sound field in the range of -30° to 30°, and weakest at 180°.

[0119] S202. Determine the first parameter information of the elastic outer layer. Based on the preset target and / or the first parameter information of the elastic outer layer, determine the first frequency range of the incident wave. For example, a first density of 4000 kg / m³ can be selected from the range of values ​​for the first parameter information of the elastic outer layer. 3 The first elastic modulus can be 10 GPa, and the first Poisson's ratio can be 0.3. Then the maximum value and frequency variation of the scattered sound field can be obtained, as shown below. Figure 13 As shown.

[0120] Figure 13 The diagram illustrates the maximum value of the scattered sound field under intermediate conditions, calculated using MATLAB software according to an embodiment of the present disclosure. For example... Figure 13 As shown, based on the preset target, the first frequency range of the incident wave can be selected as 95kHz to 100kHz.

[0121] S203. Determine the second frequency of the incident wave based on the scattered sound field of each first frequency in the first frequency range of the incident wave.

[0122] Figure 14 This diagram schematically illustrates the scattered sound field under intermediate conditions with varying frequencies, simulated using COMSOL software and plotted using MATLAB software, according to an embodiment of this disclosure. Figure 14 Therefore, to make the scattered sound field weakest at 180°, preferably, the frequency is 100kHz. Thus, the second frequency of the incident wave is 100kHz.

[0123] S204. Based on the second frequency of the incident wave, adjust the first parameter information range of the elastic outer layer to determine the second parameter information of the elastic outer layer.

[0124] The first density can be 4000 kg / m³ 3 Given that the first elastic modulus can be 10 GPa and the first Poisson's ratio can be 0.3, the first density range can be determined to be 2000 kg / m³. 3 ~6000kg / m 3 The first elastic modulus ranges from 8 GPa to 12 GPa; the first Poisson's ratio ranges from 0.1 to 0.45.

[0125] With the incident wave at a second frequency of 100 kHz, the first elastic modulus is fixed at 10 GPa, and the first Poisson's ratio at 0.3. The first density is adjusted from 2000 kg / m³. 3 ~6000kg / m 3 This allows us to obtain simulation results.

[0126] Figure 15The diagram illustrates a scattered sound field under varying outer material density, simulated using COMSOL software and plotted using MATLAB software, according to an embodiment of this disclosure. Figure 15 As shown, based on the preset target, the preferred second density is 4000 kg / m³. 3 .

[0127] The incident wave has a second frequency of 100 kHz and a density of 4000 kg / m³. 3 Under the given condition, the first Poisson's ratio is fixed at 0.3. The first elastic modulus is adjusted from 8 GPa to 12 GPa to obtain simulation results.

[0128] Figure 16 The diagram illustrates a scattered sound field under varying elastic modulus of the outer material, simulated using COMSOL software and plotted using MATLAB software, according to an embodiment of this disclosure. For example... Figure 16 As shown, based on the preset target, the preferred second elastic modulus is 10 GPa.

[0129] The second frequency of the incident wave is 100kHz, and the second density is 4000kg / m³. 3 With the second elastic modulus being 10 GPa, the first Poisson's ratio was adjusted from 0.1 to 0.45 to obtain simulation results.

[0130] Figure 17 The illustration schematically depicts the scattered sound field under varying Poisson's ratio of the outer material, simulated using COMSOL software and plotted using MATLAB software, according to embodiments of this disclosure. For example... Figure 17 As shown, based on the preset target, the preferred second Poisson ratio is 0.35.

[0131] In the embodiments of this disclosure, the simulation results show a frequency of 100kHz and a density of 4000 kg / m³. 3 With an elastic modulus of 10 GPa, the most suitable elastic outer layer material was selected. This ensures that specific scattering conditions and application requirements can be met.

[0132] Through the embodiments of this disclosure, the geometric structure and initial parameters of the bilayer material are first determined according to the predetermined sound field control target. Then, through numerical simulation and optimization algorithms, key parameters such as the material's density, elastic modulus, and Poisson's ratio are adjusted to achieve precise control of the scattered sound field. This improves the accuracy of the scattered sound field while also possessing the advantages of strong adaptability and excellent control effect.

[0133] In the embodiments of this disclosure, the processor may include, but is not limited to, one or more processors or microprocessors. Each processor may be implemented as an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a controller, a microcontroller, a microprocessor, or other electronic components, for executing the methods in the above embodiments.

[0134] Computer-readable storage media can be implemented by any type of volatile or non-volatile storage device or a combination thereof. Computer-readable storage media may include, but are not limited to, random access memory (RAM), read-only memory (ROM), flash memory, EPROM memory, EEPROM memory, registers, and computer storage media (e.g., hard disks, floppy disks, solid-state drives, removable disks, CD-ROMs, DVD-ROMs, Blu-ray discs, etc.).

[0135] Computer-readable storage media may also store at least one computer-executable program / instruction, such as computer-readable instructions. Computer-readable storage media include, but are not limited to, volatile memory and / or non-volatile memory. Volatile memory may include, for example, random access memory (RAM) and / or cache memory. Computer-readable storage media may include, for example, read-only memory (ROM), hard disk, flash memory, etc. For example, a non-transitory computer-readable storage medium may be connected to a computing device such as a computer, and then, when the computing device executes the computer-readable instructions stored on the computer-readable storage medium, the various methods described above can be performed.

[0136] In addition, the computer device may include (but is not limited to) a data bus, an input / output (I / O) bus, a display, and input / output devices (e.g., keyboard, mouse, speakers, etc.).

[0137] The processor can communicate with external devices via the I / O bus through wired or wireless networks.

[0138] In one embodiment, the at least one computer-executable instruction may also be compiled into or comprise a software product / computer program product, wherein one or more computer-executable instructions are executed by a processor to perform the steps of the various functions and / or methods in the embodiments described herein.

[0139] Through the embodiments of this disclosure, based on a preset target, a first density, a first elastic modulus, and a first Poisson's ratio are set, thereby determining a first frequency range of the incident wave. By traversing the first frequency range of the incident wave, a second frequency of the incident wave is determined. Then, using the determined second frequency of the incident wave, the first parameter information range of the elastic outer layer is adjusted, ultimately determining the second density, second elastic modulus, and second Poisson's ratio of the elastic outer layer. Thus, the material of the elastic outer layer can be matched based on the second parameter information. Therefore, through optimized design of the elastic outer layer parameter information, the double-layer magnetostrictive structure composed of the elastic outer layer and the supermagnetostrictive inner layer can adapt to different sound field conditions and scattering angles, possessing the ability to flexibly adjust the sound field in various engineering applications. Furthermore, through the rational design of the elastic outer layer and the supermagnetostrictive inner layer in the double-layer structure and the optimized control of the magnetic field, the interlayer coupling effect can be fully utilized to enhance the propagation characteristics of sound waves in the material, thereby achieving more precise acoustic functions.

[0140] In the embodiments provided in this disclosure, it should be understood that the disclosed apparatus and methods can also be implemented in other ways. The apparatus embodiments described above are merely illustrative; for example, the flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods, and computer program products according to various embodiments of this disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than those marked in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram and / or flowchart, and combinations of blocks in block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

[0141] It should be noted that, in this disclosure, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element limited by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0142] While the embodiments disclosed herein are as described above, the foregoing content is merely for the purpose of facilitating understanding of this disclosure and is not intended to limit this disclosure. Any person skilled in the art to which this disclosure pertains may make any modifications and changes in form and detail of the implementation without departing from the spirit and scope of this disclosure; however, the scope of patent protection of this disclosure shall still be determined by the scope defined in the appended claims.

Claims

1. A processing method based on a double-layer magnetoacoustic material, characterized in that, The dual-layer magnetoacoustic material comprises an elastic outer layer and a super-magnetostrictive inner layer, wherein the elastic outer layer covers the super-magnetostrictive inner layer, and the processing method includes: Determine preset targets, including external sound field targets and / or scattered sound field targets; Determine the first parameter information of the elastic outer layer, wherein the first parameter information of the elastic outer layer includes at least one or more of the first density of the elastic outer layer, the first elastic modulus of the elastic outer layer, and the first Poisson's ratio of the elastic outer layer; Based on the preset target and / or the first parameter information of the elastic outer layer, the first frequency range of the incident wave is determined; Based on the scattered sound field at each first frequency in the first frequency range of the incident wave, the second frequency of the incident wave is determined; and Based on the second frequency of the incident wave, the first parameter information range of the elastic outer layer is adjusted to determine the second parameter information of the elastic outer layer, wherein the second parameter information is located within the first parameter information range.

2. The method according to claim 1, characterized in that, Determining the first frequency range of the incident wave based on the preset target and / or the parameter information of the elastic outer layer includes: Traverse the second frequency range of the incident wave, and determine the first frequency range based on the preset target.

3. The method according to claim 2, characterized in that, The step of adjusting the first parameter information range of the elastic outer layer based on the second frequency of the incident wave to determine the second parameter information of the elastic outer layer includes: Based on the first density, the first elastic modulus, and the first Poisson's ratio of the elastic outer layer, a first parameter information range for the elastic outer layer is determined; and Traverse the first parameter information range of the elastic outer layer, and determine the second parameter information of the elastic outer layer based on the second frequency of the incident wave; The first parameter information interval includes one or more of the following: the first density interval of the elastic outer layer, the first elastic modulus interval of the elastic outer layer, and the first Poisson's ratio interval of the elastic outer layer.

4. The method according to claim 3, characterized in that, The process of traversing the first parameter information interval of the elastic outer layer and determining the second parameter information of the elastic outer layer based on the second frequency of the incident wave includes: Based on the second frequency of the incident wave, the first elastic modulus of the elastic outer layer, and the first Poisson's ratio of the elastic outer layer, the first density range of the elastic outer layer is traversed; and Based on the preset target, the second density of the elastic outer layer is determined.

5. The method according to claim 4, characterized in that, The method further includes: Based on the second frequency of the incident wave, the second density of the elastic outer layer, and the first Poisson's ratio of the elastic outer layer, the first elastic modulus range of the elastic outer layer is traversed; and Based on the preset target, the second elastic modulus of the elastic outer layer is determined.

6. The method according to claim 5, characterized in that, The method further includes: Based on the second frequency of the incident wave, the second density of the elastic outer layer, and the second elastic modulus of the elastic outer layer, the first Poisson's ratio interval of the elastic outer layer is traversed; and Based on the preset target, the second Poisson's ratio of the elastic outer layer is determined.

7. The method according to claim 1, characterized in that, The method further includes: The supermagnetic inner layer is configured as a pseudobinary intermetallic compound, and the radius of the supermagnetic inner layer is configured to be 2 mm; and The radius of the elastic outer layer is configured to be 5 mm.

8. The method according to claim 1, characterized in that, The method further includes: The first frequency range of the incident wave is configured to be within the range where the frequency of the incident wave is greater than 40 kHz; and The first density range for configuring the elastic outer layer is when the density of the elastic outer layer is less than 6000 kg / m³. 3 Within the range, the first elastic modulus range of the elastic outer layer is configured to be within the range where the elastic modulus of the elastic outer layer is greater than 1 GPa and less than 100 GPa, and the first Poisson's ratio range of the elastic outer layer is configured to be within the range where the Poisson's ratio of the elastic outer layer is greater than 0.01 and less than 0.

49.

9. A computer device, comprising a memory, a processor, and a computer program stored in the memory, characterized in that, The processor executes the computer program to implement the steps of the method according to any one of claims 1 to 8.

10. A computer program product comprising a computer program / instructions, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 8.

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