Composite interlayer material and simulation calculation method thereof

Abstract

The invention relates to the field of composite interlayer materials, and particularly discloses a composite interlayer material and a simulation calculation method thereof. The composite sandwich material comprises a sandwich structure, and the sandwich structure sequentially comprises an upper panel, a core material and a lower panel from top to bottom; the simulation calculation method comprises the following steps: establishing a geometric model; defining parameters; defining a material; setting a physical field; setting boundary conditions; dividing grids; setting research; the problems that single foamed aluminum is low in strength and difficult to connect and an existing foamed aluminum interlayer material is only applied to one aspect of mechanics, acoustics and thermotics are solved, and the comprehensive applicability of the material is improved. In addition, the simulation calculation method has the advantages that the sound absorption coefficient, the rigidity coefficient and the heat conductivity coefficient of the composite interlayer material are accurately and rapidly calculated, the situation that a large number of tests need to be carried out for verification during development of the composite interlayer material is avoided, the research and development period is shortened, and the design and development efficiency is improved.

Description

Technical Field

[0001] This application relates to the field of composite sandwich materials, and in particular to a composite sandwich material and its simulation calculation method. Background Technology

[0002] Sandwich composite materials are widely used in aerospace, rail transportation, and maritime shipping. They provide a quiet and comfortable environment for occupants, offer support and safety protection, and also provide thermal insulation or heat dissipation. The structure of sandwich composite materials is generally a multi-layered composite structure consisting of an upper panel, sound-absorbing or heat-insulating materials, and a lower panel. The upper and lower panels provide mechanical properties, while the sound-absorbing and heat-insulating materials provide sound absorption and heat insulation properties.

[0003] Commonly used composite sandwich materials mainly fall into three categories: fiber sandwich materials, granular sandwich materials, and foam sandwich materials. Fiber sandwich materials include organic fibers such as animal and plant fibers like cotton, hemp, and wool, which have poor fire and moisture resistance and poor environmental adaptability. Inorganic fiber materials are mainly rock wool and slag wool, which easily cause environmental pollution and harm human health. Granular sandwich materials are mainly perlite series or sound-absorbing blocks or boards made of clay, slag, etc., which have good fire resistance and corrosion resistance, but their sound absorption coefficient is relatively low. Foam sandwich materials mainly include foamed plastics, foamed glass, and foamed metals. Among these, foamed plastics are flammable and prone to aging, while foamed glass has varying degrees of micropore penetration and a relatively low sound absorption coefficient. Foamed aluminum sandwich panels are increasingly widely used due to their advantages such as lightweight, high strength, and recyclability.

[0004] The comprehensive performance of aluminum foam sandwich materials has not yet been fully realized, with applications limited to one aspect of mechanics, acoustics, or thermal performance. Furthermore, existing inventions only study a single characteristic of aluminum foam sandwich materials and lack simulation calculations and design optimization. The development of composite sandwich materials requires extensive testing for verification, resulting in long research and development cycles and low design and development efficiency. Summary of the Invention

[0005] The purpose of this invention is to provide a composite sandwich material and its simulation calculation method, which at least solves the problems of low strength and difficulty in connection of single aluminum foam, and the fact that existing aluminum foam sandwich materials are only used in one aspect of mechanics, acoustics, and thermal performance. It also solves the problems of needing to conduct a large number of experiments for verification, long research and development cycle, and low design and development efficiency.

[0006] This invention provides the following solution:

[0007] According to one aspect of the present invention, a composite sandwich material is provided, comprising a sandwich core structure, wherein the sandwich core structure comprises, from top to bottom, an upper panel, a core material and a lower panel;

[0008] The core material is open-cell aluminum foam or open-cell magnesium foam;

[0009] The upper panel is an aluminum alloy plate with micro-perforations on the surface, and the drilling process is laser drilling.

[0010] The microperforations are used to allow sound energy or heat to enter the material for absorption.

[0011] By adopting the above technical solution, due to the use of a sandwich structure, the core material is selected as open-cell aluminum foam or open-cell magnesium foam, and the upper panel is made of aluminum alloy plate with micro-perforations processed by laser drilling. At the same time, the upper and lower panels provide mechanical properties, and the core material provides sound absorption and heat insulation properties. This solves the problems of low strength and difficulty in connection of single aluminum foam, and the fact that existing aluminum foam sandwich materials are only used in one aspect of mechanics, acoustics, and thermals. Therefore, the material has the functions of structural support, sound absorption and noise reduction, and heat insulation and heat resistance, achieving the effect of integrated structure and function.

[0012] Furthermore, the core material has a porosity of 60-80%, a thickness of 5-50 mm, and a pore size of 1-5 mm.

[0013] By adopting the above technical solution, and using open-cell aluminum foam or open-cell magnesium foam with a porosity of 60-80%, a thickness of 5-50mm, and a pore size of 1-5mm as the core material, the sound energy or heat conduction requirements of the micro-perforated upper panel are matched, thus avoiding the problems of low sound absorption coefficient of existing granular sandwich materials and low sound absorption coefficient of foam glass. Therefore, the sound absorption performance of the core material is improved, while also achieving the effects of lightweight and certain mechanical strength.

[0014] Furthermore, the thickness of the upper panel is 1~5mm;

[0015] The micro-perforations are circular or elongated, with the diameter of the circular perforations being 0.5~3mm and the width of the elongated perforations being 0.5~1mm and the length being 1~10mm.

[0016] The perforation porosity of the upper panel is 5% to 30%.

[0017] By adopting the above technical solution, the upper panel is set to a thickness of 1~5mm to ensure mechanical clamping ability. The micro-perforations are circular or elongated and the perforation porosity is controlled at 5%~30%. This not only avoids the decline in the mechanical properties of the upper panel due to excessively large perforations, but also solves the problem that sound energy and heat are difficult to enter the interior of the material in existing non-perforated panels. Therefore, the upper panel achieves the effect of taking into account both mechanical support and efficient sound energy or heat introduction.

[0018] Furthermore, the microperforations are evenly distributed on the top plate, and the distribution pattern is rectangular, circular or radial.

[0019] By adopting the above technical solution, since the micro-perforations are evenly distributed in a rectangular, circular or radial pattern on the top plate, it is ensured that sound energy or heat is evenly introduced into the core material in different areas of the top plate, avoiding the problem that sound energy or heat cannot enter due to the absence of perforations in some areas. Therefore, the material achieves a uniform and stable overall sound absorption and heat insulation performance.

[0020] Furthermore, the lower panel is made of aluminum alloy with a thickness of 1~5mm;

[0021] The upper panel, core material and lower panel are connected by bonding or welding.

[0022] By adopting the above technical solution, since the lower panel is made of 1-5mm thick aluminum alloy material, which is the same as the upper panel material to ensure the consistency of the overall structural mechanical properties, and the three are firmly connected by bonding or welding, the problem of weak connection and easy delamination of existing sandwich materials is avoided. Therefore, the composite sandwich material structure has improved stability and enhanced durability.

[0023] According to two aspects of the present invention, a simulation calculation method for a composite sandwich material is provided, implemented based on ComsolMultiphysics software, for calculating the acoustic, mechanical, and thermal properties of the composite sandwich material, comprising the following steps:

[0024] Step 1: Establish a geometric model: The geometric model for calculating acoustic performance includes the standing wave tube, the test material sample, and the test probe. The geometric model for calculating mechanical or thermal performance is a two-dimensional model, and the thickness of the upper panel, lower panel, core material, and the overall length of the composite material are set.

[0025] Step 2, Define parameters: The parameters defined when calculating acoustic performance include incident wave transfer function, reflected wave transfer function, total sound field transfer function, reflection coefficient and sound absorption coefficient; the parameters defined when calculating mechanical performance include displacement and stiffness calculation parameters of the stress point; and the parameters defined when calculating thermal performance include heat flux calculation parameters and thermal conductivity calculation parameters.

[0026] Step 3: Define materials: Select air as the material for the standing wave tube area, aluminum alloy for both the upper and lower panels of the composite sandwich material, and aluminum alloy for the core material; set material density and sound velocity parameters when calculating acoustic performance, set material parameters when calculating mechanical performance, and set material density, thermal conductivity, and specific heat capacity parameters when calculating thermal performance.

[0027] Step 4: Set the physical field: When calculating acoustic performance, select pressure acoustics and frequency domain physical field; when calculating mechanical performance, select solid mechanics and steady-state physical field; when calculating thermal performance, select solid heat transfer and steady-state physical field.

[0028] Step 5: Set boundary conditions: Set the corresponding boundary conditions according to the acoustic, mechanical or thermal properties to be calculated.

[0029] Step 6: Mesh generation: Select free tetrahedron as the mesh type. When calculating acoustic performance, set the mesh size to 1 / 5 of the sound velocity / maximum calculation frequency. When calculating mechanical or thermal performance, set the mesh size accordingly.

[0030] Step 7: Set up the study: When calculating acoustic performance, add a calculation step with the frequency unit in Hz, set the starting frequency, maximum frequency and step size parameters, and add a steady-state study when calculating mechanical or thermal performance, and then perform the calculation.

[0031] Step 8: View Results: Create a new 1D plotting group, and create a global plot within the 1D plotting group; when calculating acoustic performance, plot and generate the sound absorption coefficient curve; when calculating mechanical performance, plot and obtain the stiffness coefficient; when calculating thermal performance, calculate the overall thermal conductivity of the composite material according to the heat flux and thermal conductivity calculation formulas.

[0032] In step 5, when the calculated performance is acoustic performance, the boundary conditions are set as follows:

[0033] All regions are set to pressure acoustics, the outer surface is set to hard acoustic field boundary, the incident surface of the standing wave tube is selected as plane radiation wave and the pressure amplitude is set, the core material region is set to porous medium acoustics, the acoustic model is selected as Delany-Bazley-Miki and the properties are from material, the upper surface of the composite material is set as an internal perforated plate and the pore diameter, plate thickness and porosity parameters are set.

[0034] In step 5, when the property to be calculated is a mechanical property, the boundary conditions are set as follows:

[0035] All regions are set as linear elastic materials. Point load boundary conditions are added and the location of the force points, the magnitude and direction of the loads are set. Fixed constraint boundary conditions are added and the upper and lower boundaries of the model are selected.

[0036] In step 2, the stiffness is calculated using the point load force and the displacement of the point under force, where the point load force is F and the displacement of the point under force is point1.

[0037] In step 5, when the performance to be calculated is thermal performance, the boundary conditions are set as follows:

[0038] All regions are set to solid heat transfer, the incident surface is set to temperature boundary conditions, the exit surface is set to temperature boundary conditions, and the upper and lower surfaces are set to thermal insulation boundary conditions.

[0039] In step 2, the heat flux is calculated based on the ht.tefluxMag parameter, and the thermal conductivity is calculated using the heat flux, the temperature difference between the incident and exit surfaces, and the overall thickness of the composite material.

[0040] Following step 8, the following steps are also included:

[0041] Step 9, Parametric Design: Parametric settings are made for the thickness of the upper panel, lower panel, and core material of the composite material. This allows for the parameter setting of material performance parameters or external condition parameters, and parametric scanning calculations are performed to obtain the optimal solution under different parameter combinations. The material performance parameters include density, modulus, sound velocity, and thermal conductivity, while the external condition parameters include sound frequency, pressure magnitude, and external temperature.

[0042] Step 10, APP Development: The calculation process is further developed and the interface is designed to create an independent application. The application includes a function button area, a parameter input area, and a result display area. It has functions for geometric drawing, mesh generation, performance calculation, result display, and document operation. Performance calculation includes sound pressure calculation, sound absorption curve calculation, stress calculation, stiffness coefficient calculation, temperature calculation, and thermal conductivity calculation. Document operation includes saving the file as, clearing the solution, and exiting. The application can be used within the software and can be shared to a website for users to access via a link.

[0043] By adopting the above technical solution, based on ComsolMultiphysics software, matching geometric models are established for acoustic, mechanical, and thermal properties, exclusive parameters are defined, and corresponding physical fields and boundary conditions are set. The calculation accuracy is ensured by using a grid size of 1 / 5 of the sound velocity / maximum calculation frequency. Subsequent parametric design scans and calculates the thickness and material properties of the upper panel, lower panel, core material, and external condition parameters. The APP development simplifies the operation process and solves the problems of traditional composite sandwich material development, which requires a lot of experimental verification, has a long R&D cycle, and low design and development efficiency. Therefore, it achieves accurate and rapid calculation of the sound absorption coefficient, stiffness coefficient, and thermal conductivity of composite sandwich materials, comprehensive parametric design coverage, expanded user scope, and improved design and development efficiency.

[0044] The above solution achieves the following beneficial technical effects:

[0045] This application utilizes a sandwich structure consisting of an upper panel, an open-cell aluminum foam core or an open-cell magnesium foam core, and a lower panel. Combined with a laser micro-perforation design on the upper panel, it achieves a multi-functional composite structure that provides structural support, sound absorption and noise reduction, and heat insulation and heat resistance. This solves the problems of low strength and difficulty in connection of single aluminum foam, as well as the limitations of existing aluminum foam sandwich materials in terms of only mechanical, acoustic, and thermal applications, thereby improving the overall applicability of the material.

[0046] This application achieves a composite sandwich material with sound absorption performance improved by more than 10%, stiffness improved by more than 50%, and thermal conductivity reduced by more than 80% compared to traditional sandwich materials through parameter matching of the core material, thus meeting the material performance requirements of multiple fields.

[0047] This application utilizes ComsolMultiphysics software to construct acoustic, mechanical, and thermal performance simulation models, enabling accurate and rapid calculation of the sound absorption coefficient, stiffness coefficient, and thermal conductivity of composite sandwich materials. This avoids the need for extensive experimental verification in the development of composite sandwich materials, shortens the R&D cycle, and improves design and development efficiency.

[0048] This application performs parametric scanning calculations by setting the thickness of the upper and lower panels and core material of the composite material, as well as the material performance parameters and external condition parameters, to quickly obtain the optimal solution under different parameter combinations, thereby reducing the time cost of parameter optimization.

[0049] This application involves secondary development and interface design of the simulation calculation process to develop an independent APP with function button area, parameter input area and result display area. Users do not need to master complex software operation, but can quickly calculate by inputting specific parameters, thus expanding the user base and further improving the design and development efficiency of composite sandwich materials. Attached Figure Description

[0050] Figure 1 This is a schematic diagram of a planar geometric model of a composite sandwich material provided in one or more embodiments of the present invention.

[0051] Figure 2 This is a schematic diagram of the geometric model for simulating the sound absorption coefficient of a composite sandwich material according to one or more embodiments of the present invention.

[0052] Figure 3 This is a schematic diagram of the sound absorption coefficient calculation curve of a simulation calculation method for composite sandwich materials provided by one or more embodiments of the present invention.

[0053] Figure 4 This is a schematic diagram of the parameterized calculation results of the sound absorption coefficient of a simulation calculation method for composite sandwich materials provided by one or more embodiments of the present invention.

[0054] Figure 5 This is a schematic diagram of the sound absorption coefficient curve calculation application interface of a simulation calculation method for composite sandwich materials provided by one or more embodiments of the present invention.

[0055] Figure 6 This is a schematic diagram of the geometric model for calculating the stiffness coefficient of a simulation calculation method for composite sandwich materials provided by one or more embodiments of the present invention.

[0056] Figure 7 This is a schematic diagram of the stiffness coefficient curve calculation results of a simulation calculation method for composite sandwich materials provided by one or more embodiments of the present invention.

[0057] Figure 8 This is a schematic diagram of the stiffness coefficient parameterization calculation results of a simulation calculation method for composite sandwich materials provided by one or more embodiments of the present invention.

[0058] Figure 9 This is a schematic diagram of the stiffness coefficient curve calculation application interface of a simulation calculation method for composite sandwich materials provided by one or more embodiments of the present invention.

[0059] Figure 10 This is a schematic diagram of the geometric model for calculating the thermal conductivity of a simulation calculation method for composite sandwich materials provided by one or more embodiments of the present invention.

[0060] Figure 11 This is a schematic diagram of the thermal conductivity curve calculation results of a simulation calculation method for a composite sandwich material provided by one or more embodiments of the present invention.

[0061] Figure 12 This is a schematic diagram of the parameterized calculation results of the thermal conductivity of a simulation calculation method for composite sandwich materials provided by one or more embodiments of the present invention.

[0062] Figure 13 This is a schematic diagram of the application interface for calculating the thermal conductivity of a simulation calculation method for composite sandwich materials provided by one or more embodiments of the present invention.

[0063] Figure 14 This is a flowchart illustrating a simulation calculation method for composite sandwich materials provided in one or more embodiments of the present invention.

[0064] Among them, 1. Micro-perforation; 2. Top panel; 3. Core material; 4. Bottom panel. Detailed Implementation

[0065] The technical solution of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0066] Please see the appendix Figure 1 This invention provides a composite sandwich material, including a sandwich core structure, wherein the sandwich core structure consists of an upper panel 2, a core material 3, and a lower panel 4 from top to bottom;

[0067] Core material 3 is open-cell aluminum foam or open-cell magnesium foam;

[0068] The top panel 2 is an aluminum alloy plate with micro-perforations 1 on the surface, and the drilling process is laser drilling;

[0069] Microperforations 1 are used to allow sound energy or heat to enter the interior of the material for absorption.

[0070] Specifically, in this sandwich structure, the upper panel 2 and the lower panel 4 provide mechanical properties, while the core material 3 provides sound absorption and heat insulation properties. This can solve the problems of low strength and difficulty in connection of single aluminum foam, while avoiding the limitations of existing aluminum foam sandwich materials that are only applied in one aspect of mechanics, acoustics, or thermal performance.

[0071] In this embodiment, the core material 3 has a porosity of 60-80%, a thickness of 5-50 mm, and a pore size of 1-5 mm.

[0072] Specifically, the porosity, thickness, and pore size parameters of the core material 3 can match the acoustic energy or heat conduction requirements of the micro-perforations 1 of the upper panel 2, avoiding the problems of low sound absorption coefficient of existing granular sandwich materials and low sound absorption coefficient of foam glass.

[0073] In this embodiment, the thickness of the upper panel 2 is 1~5mm;

[0074] The micro-perforation 1 is circular or elongated. The diameter of the circular through-hole is 0.5~3mm, and the width of the elongated through-hole is 0.5~1mm and the length is 1~10mm.

[0075] The perforation porosity of the upper panel 2 is 5%~30%.

[0076] Specifically, the thickness of the upper panel 2 ensures its mechanical clamping ability, and the shape, size and porosity of the micro-perforations 1 ensure that acoustic energy or heat can enter the interior of the material while avoiding a decrease in the mechanical properties of the upper panel 2.

[0077] In this embodiment, the micro-perforations 1 are evenly distributed on the top plate 2, and the distribution pattern is rectangular, circular or radial.

[0078] Specifically, the uniform distribution and different distribution patterns of the micro-perforations 1 allow sound energy or heat to be uniformly introduced into the core material 3 in different areas of the upper plate 2, ensuring the overall sound absorption and heat insulation performance of the material is stable.

[0079] In this embodiment, the lower panel 4 is made of aluminum alloy with a thickness of 1~5mm;

[0080] The upper panel 2, core material 3 and lower panel 4 are connected by adhesive or welding.

[0081] Specifically, the material and thickness of the lower panel 4 can ensure the consistency of the overall mechanical properties of the composite sandwich material, and the bonding or welding connection method can achieve a firm connection of the three and avoid delamination.

[0082] Please see the appendix Figure 14 A simulation calculation method for composite sandwich materials, implemented using ComsolMultiphysics software, is used to calculate the acoustic, mechanical, and thermal properties of composite sandwich materials. The method includes the following steps:

[0083] Step 1: Establish a geometric model: The geometric model for calculating acoustic performance includes a standing wave tube, a test material sample, and a test probe. The geometric model for calculating mechanical or thermal performance is a two-dimensional model, and the thicknesses of the upper panel 2, lower panel 4, core material 3, and the overall length of the composite material are set.

[0084] Step 2, Define parameters: The parameters defined when calculating acoustic performance include incident wave transfer function, reflected wave transfer function, total sound field transfer function, reflection coefficient and sound absorption coefficient; the parameters defined when calculating mechanical performance include displacement and stiffness calculation parameters of the stress point; and the parameters defined when calculating thermal performance include heat flux calculation parameters and thermal conductivity calculation parameters.

[0085] Step 3, Define Materials: Select air as the material for the standing wave tube area, select aluminum alloy for both the upper panel 2 and lower panel 4 of the composite sandwich material, and select aluminum alloy for the core material 3; set material density and sound velocity parameters when calculating acoustic performance, set material parameters when calculating mechanical performance, and set material density, thermal conductivity, and specific heat capacity parameters when calculating thermal performance.

[0086] Step 4: Set the physical field: When calculating acoustic performance, select pressure acoustics and frequency domain physical field; when calculating mechanical performance, select solid mechanics and steady-state physical field; when calculating thermal performance, select solid heat transfer and steady-state physical field.

[0087] Step 5: Set boundary conditions: Set the corresponding boundary conditions according to the acoustic, mechanical or thermal properties to be calculated.

[0088] Step 6: Mesh generation: Select free tetrahedron as the mesh type. When calculating acoustic performance, set the mesh size to 1 / 5 of the sound velocity / maximum calculation frequency. When calculating mechanical or thermal performance, set the mesh size accordingly.

[0089] Step 7: Set up the study: When calculating acoustic performance, add a calculation step with the frequency unit in Hz, set the starting frequency, maximum frequency and step size parameters, and add a steady-state study when calculating mechanical or thermal performance, and then perform the calculation.

[0090] Step 8: View Results: Create a new one-dimensional drawing group, and create a global drawing within the one-dimensional drawing group; when calculating acoustic performance, draw and generate the sound absorption coefficient curve; when calculating mechanical performance, draw and obtain the stiffness coefficient; when calculating thermal performance, calculate the overall thermal conductivity of the composite material according to the heat flux and thermal conductivity calculation formulas.

[0091] Specifically, this simulation calculation method can avoid the problem of needing a lot of experimental verification in the development of composite sandwich materials, and solve the limitations of existing technologies such as lack of simulation calculation and design optimization, long R&D cycle and low design and development efficiency, so as to achieve accurate and rapid calculation of material properties.

[0092] In this embodiment, when the calculated performance is acoustic performance, the boundary condition settings in step 5 include:

[0093] All regions are set to pressure acoustics, the outer surface is set to hard acoustic field boundary, the incident surface of the standing wave tube is selected as plane radiation wave and the pressure amplitude is set, the core material region is set to porous medium acoustics, the acoustic model is selected as Delany-Bazley-Miki and the properties are from material, the upper surface of the composite material is set as an internal perforated plate and the pore diameter, plate thickness and porosity parameters are set.

[0094] Specifically, the boundary condition settings can match the acoustic performance calculation requirements, where the acoustic model of the core material region and the parameter settings of the perforated plate on the upper surface of the composite material correspond to the structural characteristics of the composite sandwich material.

[0095] In this embodiment, in step 5, when the property to be calculated is a mechanical property, the boundary conditions are set as follows:

[0096] All regions are set as linear elastic materials. Point load boundary conditions are added and the location of the force points, the magnitude and direction of the loads are set. Fixed constraint boundary conditions are added and the upper and lower boundaries of the model are selected.

[0097] In step 2, the stiffness is calculated using the point load force and the displacement of the point under load, where the point load force is F and the displacement of the point under load is point1.

[0098] Specifically, the linear elastic material setting and point load, fixed constraint boundary conditions can simulate the actual stress scenario of composite sandwich materials, and the stiffness calculation method is consistent with the definition logic of mechanical performance parameters.

[0099] In this embodiment, when the performance to be calculated is thermal performance, the boundary conditions in step 5 include:

[0100] All regions are set to solid heat transfer, the incident surface is set to temperature boundary conditions, the exit surface is set to temperature boundary conditions, and the upper and lower surfaces are set to thermal insulation boundary conditions.

[0101] In step 2, the heat flux is calculated based on the ht.tefluxMag parameter, and the thermal conductivity is calculated using the heat flux, the temperature difference between the incident and exit surfaces, and the overall thickness of the composite material.

[0102] Specifically, thermal insulation boundary conditions can eliminate interference from heat exchange between the upper and lower surfaces, and the calculation parameters for heat flux and thermal conductivity can accurately reflect the thermal properties of composite materials.

[0103] In this embodiment, the following steps are included after step 8:

[0104] Step 9, Parametric Design: The thickness of the upper panel 2, lower panel 4, and core material 3 of the composite material is parametrically set. This allows for the parametric setting of material performance parameters or external condition parameters, and parametric scanning calculations to obtain the optimal solution under different parameter combinations. The material performance parameters include density, modulus, sound velocity, and thermal conductivity, while the external condition parameters include sound frequency, pressure magnitude, and external temperature.

[0105] Step 10, APP Development: Perform secondary development and interface design on the calculation process to develop an independent application. The application includes a function button area, parameter input area, and result display area, and has functions for geometric drawing, mesh generation, performance calculation, result display, and document operation. Performance calculation includes sound pressure calculation, sound absorption curve calculation, stress calculation, stiffness coefficient calculation, temperature calculation, and thermal conductivity calculation. Document operation includes saving the file as, clearing the solution, and exiting. The application can be used within the software and can be shared to a website for users to access via a link.

[0106] Specifically, parametric design enables rapid scanning of different parameter combinations, while APP development simplifies the operation process, eliminating the need for users to master complex software operations. Both can improve the design and development efficiency of composite sandwich materials.

[0107] The following is a description with reference to specific embodiments:

[0108] Example 1

[0109] A simulation calculation method for composite sandwich materials, implemented using ComsolMultiphysics software, includes the following steps for calculating the sound absorption coefficient of composite sandwich materials to assess their acoustic performance:

[0110] According to the appendix Figure 2 As shown in the figure, this embodiment introduces the simulation calculation process of testing the sound absorption coefficient of materials in a standing wave tube.

[0111] Step 1, Establish the geometric model: Establish the geometric model of the standing wave tube, specifically a cylinder with a diameter of 100mm and a length of 500mm. Probe one and probe two are mounted on the wall, with their positions 50mm and 130mm away from the surface of the test sample, respectively. Establish the geometric model of the composite functional structural material, with a diameter of 100mm, a thickness of 1mm on the upper surface, a thickness of 1mm on the lower surface, and a foam aluminum layer thickness of 18mm. See the geometric model below. Figure 1 ;

[0112] Step 2, define parameters: Create integration functions intop1 and intop2; create variables p1=intop1(acpr.p_t) and p2=intop2(acpr.p_t) to represent the sound pressure at probe 1 and probe 2 positions respectively; create variables HI=exp(j*k*80mm) and HR=exp(-j*k*80mm) to represent the incident wave transfer function and the reflected wave transfer function respectively; create variable H12=p1 / p2 to represent the total sound field transfer function; create variable r=((H12-HI) / (HR-H12))*exp(2*j*k*130mm) to represent the reflection coefficient; and create variable α=1-r 2 The sound absorption coefficient;

[0113] Step 3, Define Materials: Select air as the material for the standing wave tube region, and select aluminum alloy for the upper and lower surfaces of the composite sandwich material, setting the density to 7850 kg / m³. 3 The sound velocity is 5000 m / s, the core material is aluminum foam, and the density is set at 486 kg / m³. 3 ;

[0114] Step 4, Set up the physical field: Select pressure acoustics, frequency domain physical field;

[0115] Step 5, Set Boundary Conditions: Set all regions to pressure acoustics, the outer surface to hard acoustic field boundary, the incident surface of the standing wave tube to plane radiation wave, the pressure amplitude to 1 Pa, the foam metal region to porous medium acoustics, the acoustic model to Delany-Bazley-Miki, and the porous medium flow resistance to 43220 Pa*s / m. 2 The upper surface of the composite material is designed as an internal perforated plate with a hole diameter of 2 mm, a plate thickness of 1 mm, and a porosity of 5%.

[0116] Step 6, Mesh generation: Set the mesh size to 1 / 5 of the speed of sound / maximum calculation frequency, and select free tetrahedron as the mesh type;

[0117] Step 7, Set up the study: Add a calculation step, with the frequency unit in Hz, starting frequency 50Hz, maximum frequency 1600Hz, and step size 50Hz.

[0118] Step 8, View Results: Create a new one-dimensional plotting group, then create a new global plot within the one-dimensional plotting group. Select α for the y-axis data, click Plot, and generate the sound absorption coefficient curve. Set the color to Cyclic, the function type to Continuous, and the legend to Display. Observe the calculated result image. The sound absorption coefficient curve result is shown below. Figure 3 Compared to traditional sound-absorbing cotton, the maximum sound absorption coefficient is increased by about 10% at the same thickness.

[0119] Example 2

[0120] A simulation calculation method for composite sandwich materials, implemented using ComsolMultiphysics software, includes the following steps for parameterizing the sound absorption coefficient of composite sandwich materials to calculate their acoustic performance:

[0121] This embodiment describes how to quickly obtain the sound absorption coefficient curve of a composite material by parametrically adjusting the thicknesses of the upper panel 2, core material 3, and lower panel 4 at a fixed thickness.

[0122] Step 1, Establish the geometric model: Establish the geometric model of the standing wave tube, specifically a cylinder with a diameter of 100mm and a length of 500mm. Probe 1 and Probe 2 are installed on the wall, with their positions 50mm and 130mm away from the surface of the test sample, respectively. Establish the geometric model of the composite functional structural material with a diameter of 100mm, a thickness of D1mm on the upper surface, a thickness of D2mm on the lower surface, and a thickness of Hmm for the aluminum foam layer.

[0123] Step 2, define parameters: Create integration functions intop1 and intop2; create variables p1=intop1(acpr.p_t) and p2=intop2(acpr.p_t) to represent the sound pressure at probe 1 and probe 2 positions respectively; create variables HI=exp(j*k*80mm) and HR=exp(-j*k*80mm) to represent the incident wave transfer function and the reflected wave transfer function respectively; create variable H12=p1 / p2 to represent the total sound field transfer function; create variable r=((H12-HI) / (HR-H12))*exp(2*j*k*130mm) to represent the reflection coefficient; create variable α=1-r 2 The sound absorption coefficient;

[0124] Step 3, Define Materials: Select air as the material for the standing wave tube region, and select aluminum alloy for the upper and lower surfaces of the composite sandwich material, setting the density to 7850 kg / m³. 3 The sound velocity is 5000 m / s, the core material is aluminum foam, and the density is set at 486 kg / m³. 3 ;

[0125] Step 4, Set up the physical field: Select pressure acoustics, frequency domain physical field;

[0126] Step 5, Set Boundary Conditions: Set all regions to pressure acoustics, the outer surface to hard acoustic field boundary, the incident surface of the standing wave tube to plane radiation wave, the pressure amplitude to 1 Pa, the foam metal region to porous medium acoustics, the acoustic model to Delany-Bazley-Miki, and the porous medium flow resistance to 43220 Pa*s / m. 2 The upper surface of the composite material is designed as an internal perforated plate with a hole diameter of 2 mm, a plate thickness of 1 mm, and a porosity of 5%.

[0127] Step 6, Mesh generation: Set the mesh size to 1 / 5 of the speed of sound / maximum calculation frequency, and select free tetrahedron as the mesh type;

[0128] Step 7, Set up the study: Add a calculation step, with the frequency unit in Hz, starting frequency 50Hz, maximum frequency 1600Hz, step size 50Hz, add parametric scan, add parameter names D1 and D2, set the variable parameters to D1=[1,3,5] and D2=[1,3,5], click parametric calculation and then click calculation;

[0129] Step 8, View Results: Create a new one-dimensional plotting group, then create a new global plot within the one-dimensional plotting group. Select α for the y-axis data, click Plot, and you can obtain the overall sound absorption coefficient curves of the composite material under different thickness combinations. The combined results can be used to derive composite material parameters that meet the target values.

[0130] Furthermore, it can also perform parameterized calculations of parameters such as sample radius, perforation rate, perforation diameter, and maximum calculation frequency.

[0131] Example 3

[0132] A simulation calculation method for composite sandwich materials, implemented using ComsolMultiphysics software, is described. The development of an app for calculating the sound absorption coefficient of composite sandwich materials includes the following steps:

[0133] This embodiment introduces the development of an APP based on parametric design. By inputting parameters, the calculated value can be obtained, and even people who do not know how to use simulation software can quickly apply it.

[0134] Step 1: Start the APP development module;

[0135] Step 2, Create a new APP form: Create a new global form, select buttons, columns, and graphic design layout; click the button to add functions such as drawing geometry, drawing mesh, calculation, sound pressure, sound absorption coefficient, exporting data, animation, and exiting the APP; click input and select parameterization D1 and D2;

[0136] Step 3, Test the App: After starting the test, input 1mm and 1mm at D1 and D2 respectively, and click the buttons for geometry, mesh, calculation, sound pressure, and sound absorption coefficient calculation to test whether it can run normally. Figure 5 It can quickly calculate the sound pressure distribution and sound absorption coefficient curve of composite materials;

[0137] Step 4, Publish the App: Click "Test on the Web" and share the generated URL link with specific users. Users can then use this app to perform calculations without needing to operate the simulation software.

[0138] Example 4

[0139] A simulation calculation method for composite sandwich materials, implemented using ComsolMultiphysics software, includes the following steps for calculating the stiffness coefficient of composite sandwich materials to assess their acoustic properties:

[0140] This embodiment introduces a method for calculating the stiffness coefficient of composite sandwich materials.

[0141] Step 1, Establish the geometric model: Establish the geometric model of the composite material. For convenient and rapid calculation, the model is a two-dimensional model. Specifically, the upper panel 2 is 1mm thick, the lower panel 4 is 1mm thick, the aluminum foam core is 18mm thick, and the overall length of the composite material is 100mm. See the geometric model below. Figure 6 ;

[0142] Step 2, define parameters: create a new point load force F=100N, create a new point probe displacement point1, and create a new stiffness calculation formula E=F / point1;

[0143] Step 3, Define Materials: The upper and lower surface materials of the composite functional structure are selected as aluminum alloy with a density of 2700 kg / m³. 3 It has a Young's modulus of 69 GPa and a Poisson's ratio of 0.33. The core material is aluminum foam with a density of 486 kg / m³. 3 Young's modulus 393 GPa, Poisson's ratio 0.31;

[0144] Step 4, Set up the physics field: Select Solid Mechanics, Steady-State Physics Field;

[0145] Step 5, set boundary conditions: set all regions as linear elastic materials, add point load boundary conditions, the specific location is the center force point, the magnitude is 100N, the direction is the X direction, add fixed constraint boundary conditions, and select the upper and lower boundaries of the model;

[0146] Step 6, Mesh generation: Set the mesh size to 1mm and select free tetrahedron as the mesh type;

[0147] Step 7, Set up the study: Add a steady-state study and click Calculate;

[0148] Step 8, View Results: Create a new one-dimensional plotting group, then create a new global plot within the one-dimensional plotting group. Select E for the y-axis data, click Plot, and you will obtain a stiffness coefficient of 1.997 × 10¹⁰ N / m. Figure 7 As shown.

[0149] Example 5

[0150] A simulation calculation method for composite sandwich materials, implemented using ComsolMultiphysics software, includes the following steps for parameterizing the stiffness coefficient of composite sandwich materials to calculate their acoustic properties:

[0151] This embodiment describes how to quickly obtain the stiffness coefficient of a composite material by parametrically adjusting the thicknesses of the upper panel 2, core material 3, and lower panel 4 at a fixed thickness.

[0152] Step 1, Establish the geometric model: Establish the geometric model of the composite material. For convenient and fast calculation, the model is a two-dimensional model. Specifically, the upper panel 2 has a thickness of D1mm, the lower panel 4 has a thickness of D1mm, the aluminum foam core material has Hmm, and the length of the entire composite material is 100mm.

[0153] Step 2, define parameters: overall thickness is L=20mm, create new upper panel thickness variable parameter D1=1mm, lower panel 4 thickness variable parameter D2=1mm, core material 3 thickness variable parameter H=20-D1-D2mm, create new point load force F=100N, create new point probe displacement point1, create new stiffness calculation formula E=F / point1;

[0154] Step 3, Define Materials: The upper and lower surface materials of the composite functional structure are selected as aluminum alloy with a density of 2700 kg / m³. 3 It has a Young's modulus of 69 GPa and a Poisson's ratio of 0.33. The core material is aluminum foam with a density of 486 kg / m³. 3 Young's modulus 393 GPa, Poisson's ratio 0.31;

[0155] Step 4, Set up the physics field: Select Solid Mechanics, Steady-State Physics Field;

[0156] Step 5, set boundary conditions: set all regions as linear elastic materials, add point load boundary conditions, the specific location is the center force point, the magnitude is 100N, the direction is the X direction, add fixed constraint boundary conditions, and select the upper and lower boundaries of the model;

[0157] Step 6, Mesh generation: Set the mesh size to 1mm and select free tetrahedron as the mesh type.

[0158] Step 7, Set up the study: Add a parametric scan, add parameter names D1 and D2, set the variable parameters to D1=[1,3,5] and D2=[1,3,5], click parametric calculation and then click calculation;

[0159] Step 8, View Results: Create a new 1D plotting group, then create a new global plot within the 1D plotting group. Select E for the y-axis data, and click Plot. This will yield the overall stiffness coefficient of the composite material under different thickness combinations, such as... Figure 8 As shown, the composite material parameters that meet the target values ​​can be obtained from the combination results.

[0160] Furthermore, it is possible to perform parameterized calculations of parameters such as core material density and modulus.

[0161] Example 6

[0162] A simulation calculation method for composite sandwich materials, implemented using ComsolMultiphysics software, includes the following steps in the development of an app for calculating the stiffness coefficient of composite sandwich materials to assess their acoustic properties:

[0163] This embodiment introduces the development of an APP based on parametric design. Users can obtain calculated values ​​simply by inputting data, enabling people who are not familiar with simulation software to quickly apply the technology.

[0164] Step 1: Start the APP development module;

[0165] Step 2, Create a new APP form: Create a new global form, select buttons, columns, and graphic design layout; click the button to add functions such as drawing geometry, drawing mesh, calculation, stress, stiffness coefficient, saving file as, clearing solution, and exiting the APP; click input and select parameterization D1 and D2;

[0166] Step 3, Test the App: After starting the test, enter 5mm and 5mm at D1 and D2 respectively, and click the buttons for geometry, mesh, calculation, stress, and stiffness coefficient calculation to test whether it can run normally. Figure 9 It can quickly calculate the stress distribution and stiffness coefficient of composite materials;

[0167] Step 4, Publish the App: Click "Test on the Web" and share the generated URL link with specific users. Users can then use this app to perform calculations without needing to operate the simulation software.

[0168] Example 7

[0169] A simulation calculation method for composite sandwich materials, implemented using ComsolMultiphysics software, includes the following steps for calculating the thermal conductivity of the composite structural material to assess its acoustic properties:

[0170] This embodiment introduces a method for calculating the thermal conductivity of composite sandwich materials.

[0171] Step 1, Establish the geometric model: Establish the geometric model of the composite material. For convenient and rapid calculation, the model is a two-dimensional model. Set the thicknesses of the upper panel 2, lower panel 4, and aluminum foam core 3 to 1mm, 1mm, and 18mm respectively. The overall length of the composite material is 100mm. See the geometric model below. Figure 10 ;

[0172] Step 2, Define parameters: Create a new heat flux parameter Q, with the expression ht.tefluxMag, select the incident surface, and set the thermal conductivity calculation formula k=Q / (ΔT / 20mm);

[0173] Step 3, Define Materials: The upper and lower surface materials of the composite functional structure are selected as aluminum alloy, with a specific heat capacity of 900 J / (kg*K) and a density of 2700 kg / m³. 3 The thermal conductivity is 201 W / (m*K), and the foam core material is aluminum foam, with a specific heat capacity of 300 J / (kg*K) and a density of 486 kg / m³. 3 Its thermal conductivity is 30 W / (m*K);

[0174] Step 4, Set up the physical field: Select the solid heat transfer physical field;

[0175] Step 5, set boundary conditions: set all areas to solid heat transfer, set the incident surface to temperature boundary condition with a temperature of 393.15K, set the exit surface to temperature boundary condition with a temperature of 293.15K, and set the upper and lower surfaces to thermal insulation boundary conditions.

[0176] Step 6, Mesh generation: Set the mesh size to 1mm and select free tetrahedron as the mesh type;

[0177] Step 7, Set up the study: Add Step 1, Steady State, and click Calculate;

[0178] Step 8, view the results: Click the one-dimensional drawing group, select the incident surface, calculate the heat flux Q, and according to the thermal conductivity calculation formula k=Q / (ΔT / L), the overall thermal conductivity of the composite material is 32.79W / (m*K). The thermal conductivity of the composite material is significantly lower than that of the aluminum alloy.

[0179] Example 8

[0180] A simulation calculation method for composite sandwich materials, implemented using ComsolMultiphysics software, includes the following steps for parameterized design of the thermal conductivity of composite structural materials used to calculate the acoustic properties of composite sandwich materials:

[0181] This embodiment describes how to quickly obtain the thermal conductivity of a composite material by parametrically adjusting the thicknesses of the upper panel 2, core material 3, and lower panel 4 at a fixed thickness.

[0182] Step 1, Establish the geometric model: Establish the geometric model of the composite material. For convenient and fast calculation, the model is a two-dimensional model. Set the thicknesses of the upper panel 2, lower panel 4, and aluminum foam core material 3 to D1mm, D2mm, and Hmm, respectively. The overall length of the composite material is 100mm.

[0183] Step 2, define parameters: overall thickness is L=20mm, create a new upper panel thickness variable parameter D1=1mm, lower panel 4 thickness variable parameter D2=1mm, core material thickness variable parameter H=20-D1-D2mm, create a new heat flux parameter Q, expression is ht.tefluxMag, select the incident surface, and set the thermal conductivity calculation formula k=Q / (ΔT / 20mm);

[0184] Step 3, Define Materials: The upper and lower surface materials of the composite functional structure are selected as aluminum alloy, with a specific heat capacity of 900 J / (kg*K) and a density of 2700 kg / m³. 3 The thermal conductivity is 201 W / (m*K), and the foam core material is aluminum foam, with a specific heat capacity of 300 J / (kg*K) and a density of 486 kg / m³. 3 Its thermal conductivity is 30 W / (m*K);

[0185] Step 4, Set up the physical field: Select the solid heat transfer physical field;

[0186] Step 5, set boundary conditions: set all areas to solid heat transfer, set the incident surface to temperature boundary condition with a temperature of 393.15K, set the exit surface to temperature boundary condition with a temperature of 293.15K, and set the upper and lower surfaces to thermal insulation boundary conditions.

[0187] Step 6, Mesh generation: Set the mesh size to 1mm and select free tetrahedron as the mesh type;

[0188] Step 7, Set up the study: Add Step 1, Steady State, Add Parametric Scan, Add parameter names D1 and D2, Set the variable parameters to D1=[1,3, 5] and D2=[1, 3, 5], Click Parametric Calculation;

[0189] Step 8, View Results: Click the 1D drawing group, select the incident surface, calculate the heat flux Q, and according to the thermal conductivity calculation formula k=Q / (ΔT / L), the overall thermal conductivity combination of the composite material under different thickness combinations can be obtained, such as... Figure 12 As shown, the composite material parameters that meet the target values ​​can be obtained from the combination results.

[0190] Furthermore, it is possible to perform parameterized calculations of parameters such as core material density and thermal conductivity.

[0191] Example 9

[0192] A simulation calculation method for composite sandwich materials, implemented using ComsolMultiphysics software, is used to calculate the acoustic properties of composite sandwich materials. The development of an app for calculating the thermal conductivity of composite structural materials includes the following steps:

[0193] This embodiment introduces the development of an APP based on parametric design. Users can obtain calculated values ​​simply by inputting data, enabling people who are not familiar with simulation software to quickly apply the technology.

[0194] Step 1: Start the APP development module;

[0195] Step 2, Create a new APP form: Create a new global form, select buttons, columns, and graphic design layout; click the button to add functions such as drawing geometry, drawing mesh, calculation, temperature, thermal conductivity, saving file as, clearing solution, and exiting the APP; click input and select parameterization D1 and D2;

[0196] Step 3, Test the App: After starting the test, enter 5mm and 5mm at D1 and D2 respectively, and click the buttons for geometry, mesh, calculation, temperature, and thermal conductivity calculation to test whether it can run normally. Figure 13 It can quickly calculate the temperature distribution and thermal conductivity of composite materials;

[0197] Step 4, Publish the App: Click "Test on the Web" and share the generated URL link with specific users. Users can then use this app to perform calculations without needing to operate the simulation software.

[0198] For the sake of simplicity, the method embodiments are described as a series of actions. However, those skilled in the art should understand that the embodiments of the present invention are not limited to the described order of actions, because according to the embodiments of the present invention, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions involved are not necessarily essential to the embodiments of the present invention.

[0199] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention 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 or all of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A composite sandwich material comprising a sandwich structure, characterized in that: The sandwich structure from top to bottom is upper panel (2), core material (3) and lower panel (4); The core material (3) is open-cell aluminum foam or open-cell magnesium foam; The upper panel (2) is an aluminum alloy plate, and the surface is provided with micro-perforations (1), and the perforation process is laser perforation; The micro-perforations (1) are used for making sound energy or heat enter the material interior to be absorbed.

2. The composite sandwich material of claim 1, wherein: The porosity of the core material (3) is 60-80%, the thickness is 5-50 mm, and the pore size is 1-5 mm.

3. The composite sandwich material of claim 1, wherein: The thickness of the upper panel (2) is 1-5 mm; The micro-perforations (1) are circular or strip-shaped, the diameter of the circular through hole is 0.5-3 mm, the width of the strip-shaped through hole is 0.5-1 mm, and the length is 1-10 mm; The perforation porosity of the upper panel (2) is 5%-30%.

4. The composite sandwich material of claim 1, wherein: The micro-perforations (1) are uniformly distributed on the upper panel (2), and the distribution form is rectangular, circular or radial.

5. The composite sandwich material of claim 1, wherein: The lower panel (4) is made of aluminum alloy material, and the thickness is 1-5 mm; The upper panel (2), the core material (3) and the lower panel (4) are connected by adhesion or welding.

6. A method of simulating a composite sandwich material, characterized by, A composite sandwich material according to any one of claims 1-5, realized based on Comsol Multiphysics software, used for calculating the acoustic performance, mechanical performance and thermal performance of the composite sandwich material, comprising the following steps: Step 1, establishing a geometric model: the geometric model when calculating the acoustic performance includes a standing wave tube, a test material sample and a test probe, the geometric model when calculating the mechanical performance or the thermal performance is a two-dimensional model, and the thickness of the upper panel (2), the lower panel (4) and the core material (3) and the length of the overall composite material are set; Step 2, defining parameters: the parameters defined when calculating the acoustic performance include incident wave transfer function, reflected wave transfer function, total sound field transfer function, reflection coefficient and sound absorption coefficient, the parameters defined when calculating the mechanical performance include displacement of the force point and stiffness calculation related parameters, and the parameters defined when calculating the thermal performance include heat flux calculation parameters and thermal conductivity calculation related parameters; Step 3, defining materials: the material of the standing wave tube region is air, the upper panel (2) and the lower panel (4) of the composite sandwich material are both aluminum alloy, and the core material (3) is aluminum alloy; when calculating the acoustic performance, the material density and sound velocity parameters are set, when calculating the mechanical performance, the material parameters are set, and when calculating the thermal performance, the material density, thermal conductivity and specific heat capacity parameters are set; Step 4, setting physical fields: when calculating the acoustic performance, the pressure acoustics and frequency domain physical field are selected, when calculating the mechanical performance, the solid mechanics and steady-state physical field are selected, and when calculating the thermal performance, the solid heat transfer and steady-state physical field are selected; Step 5, setting boundary conditions: according to the acoustic performance, mechanical performance or thermal performance to be calculated, the corresponding boundary conditions are set; Step 6, dividing grids: the grid type is selected as free tetrahedron, the grid size is set as 1 / 5 of the sound velocity / the maximum calculation frequency when calculating the acoustic performance, and the grid size is set when calculating the mechanical performance or the thermal performance; Step 7, setting the study: add a calculation step when calculating acoustic performance, set the starting frequency, maximum frequency and step size parameters, add a steady-state study when calculating mechanical or thermal performance, and then perform the calculation; Step 8, view the results: create a new one-dimensional plot group, and create a global plot in the one-dimensional plot group; when calculating acoustic performance, draw and generate an absorption coefficient curve, when calculating mechanical performance, draw and obtain the stiffness coefficient, and when calculating thermal performance, calculate the overall thermal conductivity of the composite material according to the heat flux and thermal conductivity calculation formula.

7. The method of claim 6, wherein: In step 5, when the performance to be calculated is acoustic performance, the boundary condition setting includes: All regions are set to pressure acoustics, the external surface is set to a hard sound field boundary, the standing wave tube incident surface is selected as a plane radiation wave and the pressure amplitude is set, the core material region is set to a porous medium acoustic, the acoustic model is selected as Delany-Bazley-Miki and the properties are from the material, and the upper surface of the composite material is set to an internal perforated plate and the aperture, plate thickness and porosity parameters are set.

8. The method of claim 6, wherein: In step 5, when the performance to be calculated is mechanical performance, the boundary condition setting includes: All regions are set to linear elastic material, a point load boundary condition is added and the force point position, load size and direction are set, and a fixed constraint boundary condition is added and the upper and lower boundaries of the model are selected; In step 2, the stiffness is calculated by the point load force and the force point displacement, where the point load force is F and the force point displacement is point1.

9. The method of claim 6, wherein: In step 5, when the performance to be calculated is thermal performance, the boundary condition setting includes: All regions are set to solid heat transfer, the incident surface is set to a temperature boundary condition, the exit surface is set to a temperature boundary condition, and the upper and lower surfaces are set to thermal insulation boundary conditions; In step 2, the heat flux is calculated based on the ht.tefluxMag parameter, and the thermal conductivity is calculated by the heat flux, the temperature difference between the incident surface and the exit surface, and the overall thickness of the composite material.

10. The method of simulation of a composite sandwich material according to claims 6-9, characterized in that: The step 8 further includes the following steps: Step 9, parametric design: parameterize the thickness of the upper panel (2), the lower panel (4) and the core material (3) of the composite material, parameterize the material performance parameters or external condition parameters, perform parameterized scanning calculation, and obtain the optimal solution under different parameter combinations, wherein the material performance parameters include density, modulus, sound speed and thermal conductivity, and the external condition parameters include sound frequency, pressure size and external temperature; Step 10, APP development: secondary development and interface design of the calculation process, development of a standalone application, the application including a function button area, a parameter input area and a result display area, having functions of geometry drawing, mesh division, performance calculation, result display and document operation, the performance calculation including sound pressure calculation, absorption curve calculation, stress calculation, stiffness coefficient calculation, temperature calculation and thermal conductivity calculation, the document operation including file saving, solution clearing and exiting, the application being usable in the software and sharable on a website for users to use through a link.

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