Noise reduction model of multi-layer structure flexible textile composite material

Abstract

The invention relates to the technical field of model construction, and particularly discloses a noise reduction model of a multilayer structure flexible textile composite material, which is characterized in that key physical parameters influencing the noise reduction performance of the composite material are determined, and an appropriate composite material structure is selected as a basis; establishing a noise reduction mathematical model, and quantifying the influence of physical parameters of the composite material on noise absorption and isolation effects for low-frequency noise; analyzing physical parameters in the noise reduction model; according to the method, an optimized noise reduction model is established, an optimal physical parameter combination is obtained, and low-frequency noise suppression is realized on the premise of not increasing the thickness of the composite material by coordinating the relationship of the parameters on the premise of not increasing the thickness of the composite material.

Description

Technical Field

[0001] The invention relates to the technical field of model construction, and more particularly to a noise reduction model of a multi-layered flexible textile composite material. Background Art

[0002] Existing noise reduction technologies mainly rely on traditional sound insulation materials, such as foam, sound insulation panels, sound-absorbing cotton, etc. These materials have achieved certain effects in reducing noise. For high-frequency noise, it is usually suppressed by thin and dense materials; while for low-frequency noise, thicker sound insulation materials are required to reduce it. However, suppressing low-frequency noise often requires more economic costs, and it is often impossible to effectively suppress low-frequency noise without increasing the thickness of the material. How to effectively suppress low-frequency noise without increasing the thickness of the sound insulation material has become a technical problem that needs to be solved urgently. Summary of the invention

[0003] In order to overcome the above-mentioned defects of the prior art, the present invention provides a noise reduction model of a multi-layer structure flexible textile composite material, which is based on determining key physical parameters and selecting a suitable structure, establishing and analyzing the noise reduction model, and establishing an optimized noise reduction model based on the noise reduction model to obtain the optimal combination of physical parameters. By coordinating the relationship between the various parameters, the low-frequency noise can be suppressed without increasing the thickness of the composite material, so as to solve the problems raised in the above-mentioned background technology.

[0004] To achieve the above object, the present invention provides the following technical solutions:

[0005] A noise reduction model for a multi-layered flexible textile composite material comprises the following steps:

[0006] Step S1, determining the key physical parameters that affect the noise reduction performance of the composite material, and analyzing its isolation and absorption effects on noises of different frequencies;

[0007] Step S2, establishing a noise reduction model, quantifying the influence of the physical parameters of the composite material on the noise absorption and isolation effect for low-frequency noise, and describing the quantitative method of the influence of the physical parameters on the noise absorption and isolation effect and the functional relationship of each parameter in the noise reduction model;

[0008] Step S3, analyzing the physical parameters in the noise reduction model, analyzing the physical parameters in the noise reduction model from the perspective of their own characteristics, material structure stability, and different frequency noise absorption and isolation effects;

[0009] Step S4, based on the noise reduction model and the analysis of the physical parameters, an optimized noise reduction model is established to obtain the optimal physical parameter combination. The formula of the optimized noise reduction model is:

[0010]

[0011] Where: ΔL opt is the optimized noise attenuation; S b is the interlayer bonding strength; α is the interlayer bonding strength S b A1 is a coefficient used to adjust the degree of influence of interlayer bonding strength on noise attenuation; P is porosity; β is a coefficient related to the degree of influence of porosity, which determines the rate of change of noise attenuation when the porosity changes; A2 is used to adjust the influence of porosity on noise reduction effect; D is fiber diameter; δ is the exponential coefficient of the influence of the fiber diameter D on the noise reduction effect; L is fiber length; θ is the adjustment coefficient of the fiber length L, which reflects the degree of influence on noise attenuation when the fiber length changes; γ is an adjustment factor, which controls the relative contribution of the fiber diameter D and the fiber length L to the noise reduction effect; λ is thermal conductivity, which is the ability of a material to transfer heat; ζ is the coefficient of the influence of thermal conductivity λ on the noise reduction effect; μ is the coefficient of the influence of temperature change on the noise reduction effect; by adjusting physical parameters, such as interlayer bonding strength S b , porosity P, fiber diameter D, fiber length L, thermal conductivity λ and temperature T, to find the optimal combination of physical parameters, so as to optimize the noise reduction effect of the composite material on low-frequency noise without significantly increasing the material thickness;

[0012] Step S5, coordinating the relationship between different physical parameters to ensure that the optimized noise reduction model can maintain its structural stability and practicality while maintaining the noise reduction effect.

[0013] As a further solution of the present invention, key physical parameters that affect the noise reduction performance of composite materials are determined, and a suitable composite material structure is selected as a basis, including the following specific contents: the basic composition of the composite material includes two parts: a matrix material and a filler. The matrix material is usually composed of polymers, rubbers, metals or natural fibers, and the filler is some inorganic substances or fibers with specific sound-absorbing properties. When selecting materials, the elastic modulus and density of the material should be considered first. These two parameters directly affect the sound wave propagation speed of the material and the reflection and absorption capacity of the sound wave. High-density materials can effectively isolate low-frequency noise, but too high a density may cause the material weight to increase. On the contrary, low-density materials perform better in dealing with high-frequency noise.

[0014] The higher the porosity of a material, the stronger its sound absorption capacity is usually, especially for the absorption of mid- and high-frequency noise. For the isolation of low-frequency noise, although materials with higher porosity can provide a certain absorption effect, relying solely on porosity is not enough to completely isolate low-frequency noise. Composite materials are composed of multiple layers of materials, in which the material properties and structural design of each layer will affect the propagation path and attenuation effect of sound waves. The interlayer bonding strength directly determines the degree of bonding between the layers of materials and affects the propagation mode of sound waves between layers. If the interlayer bonding strength is too low, the stability and noise reduction effect of the material will be affected, which may cause noise to propagate between layers. If the interlayer bonding strength is too high, although it can enhance the structural stability of the material, However, it may cause sound waves to reflect between layers, thereby reducing the noise absorption effect; small fibers have strong sound wave scattering ability, which can effectively enhance the rigidity of the material and suppress the propagation of low-frequency noise. Longer fibers can improve the overall structural stability and compressive strength of the material and enhance the isolation ability of sound waves; materials with high thermal conductivity are prone to thermal stress caused by temperature changes, which affects the rigidity and structural stability of the material, and then affects its noise reduction performance. In some applications where the ambient temperature changes greatly, materials with lower thermal conductivity can usually better maintain their noise reduction effect; temperature changes determine the volume change of the material. If the temperature of the material changes greatly, it will cause internal stress, thereby affecting the noise reduction effect of the composite material.

[0015] As a further solution of the present invention, a noise reduction mathematical model is established to quantify the influence of the physical parameters of the composite material on the noise absorption and isolation effect for low-frequency noise, including the following specific contents: By establishing a noise reduction model, the specific contribution of the physical parameters in the composite material to noise absorption and isolation can be quantified, especially the control effect on low-frequency noise. The noise reduction model takes into account the acoustic characteristics of the multilayer composite material. The formula of the noise reduction model is:

[0016]

[0017] Where: ΔL is the noise attenuation of the material; S b is the interlayer bonding strength; α is the interlayer bonding strength S b The coefficient of Describes the effect of interlayer bonding strength on noise propagation. The exponential decay shows that the increase of interlayer bonding strength will intensify the noise attenuation effect, but when it is too large, it will lead to a decrease in absorption capacity; P is the porosity, which is the volume ratio of the voids inside the composite material; β is a coefficient related to the degree of influence of porosity, which determines the rate of change of noise attenuation when the porosity changes; e -βPThe effect of porosity on noise absorption is described. When the porosity increases, the sound absorption capacity of the material is enhanced, but the effect on low-frequency noise is manifested in the form of exponential decay, indicating that the suppression effect of porosity on low-frequency noise is relatively weak; D is the fiber diameter; L is the fiber length; λ is the thermal conductivity, which is the ability of the material to transfer heat; ζ is the coefficient of the influence of thermal conductivity λ on the noise reduction effect; T is the temperature.

[0018] As a further solution of the present invention, the physical parameters in the noise reduction model are analyzed, including the following specific contents: interlayer bonding strength S b It refers to the bonding strength between different layers in a composite material, which is achieved through adhesives or hot pressing processes. Materials with stronger interlayer bonding strength have better structural stability and can effectively reduce the spread of noise, especially in the control of low-frequency noise. Too strong interlayer bonding may cause the material to be too rigid, thereby affecting the absorption of low-frequency noise, while too weak interlayer bonding may cause overall instability of the material and affect the noise isolation effect. Therefore, appropriate interlayer bonding strength is the key to achieving the best noise reduction effect.

[0019] The porosity P determines the void ratio inside the material. Materials with higher porosity usually have better sound absorption capabilities, especially in the absorption of medium and high frequency noise. However, for low frequency noise, although the increase in porosity has a certain sound absorption effect, due to the longer wavelength of low frequency noise, the increase in porosity cannot completely and effectively isolate low frequency noise. By adjusting the porosity, the composite material can achieve the best effect in noise control of different frequencies.

[0020] Materials with smaller fiber diameters D have higher specific surface areas and stronger sound wave scattering capabilities, which help improve the material's absorption and isolation of low-frequency noise. Fiber length L has a direct impact on the material's density, rigidity, and stability. Longer fibers generally provide better mechanical properties and stability, thereby enhancing the ability to isolate low-frequency noise. However, fibers that are too long may reduce the flexibility of the material and affect its absorption of high-frequency noise. Therefore, when designing composite materials, the fiber diameter and length must be optimized according to noise reduction requirements.

[0021] Thermal conductivity λ determines the ability of a material to conduct heat. Higher thermal conductivity may cause greater thermal stress in the material when the temperature changes, affecting the stability of the material and thus indirectly affecting the noise reduction effect. Materials with lower thermal conductivity are usually able to better maintain their noise reduction effect.

[0022] As the temperature T changes, the physical properties of the material may change, thereby affecting its noise reduction performance. For example, in a high temperature environment, the material may expand or contract, affecting the stability of its structure, thereby changing the sound absorption performance of the material.

[0023] As a further solution of the present invention, the relationship between different physical parameters is coordinated to ensure that the noise reduction effect is maintained while maintaining the structural stability and practicality based on the optimized noise reduction model, including the following specific contents: in the noise reduction optimization model, each physical parameter has different degrees of influence on the noise reduction effect, structural stability and applicability. When adjusting the noise reduction performance of the composite material, the synergistic effect of the physical parameters is ensured to optimize the noise reduction effect while maintaining the structural stability and durability of the material.

[0024] Strong interlayer bonding strength can improve the overall stability of the material, prevent the layers from falling off or misaligning, and thus enhance the noise isolation ability, especially the isolation of low-frequency noise. However, too strong interlayer bonding may cause the material to be too rigid, thus affecting the absorption effect of low-frequency noise. At this time, the material's attenuation performance of low-frequency noise may be suppressed. Materials with longer fiber lengths can usually enhance the stability of the structure and improve the isolation ability of low-frequency noise. However, when the fiber length is too long, it may reduce the flexibility of the material, thereby affecting its absorption effect of high-frequency noise; when using a composite material with a multi-layer structure, different interlayer bonding strengths and fiber lengths can be used between different layers. For the outer layer material, use a higher interlayer bonding strength and longer fibers to enhance the structural strength; while the inner layer can use a lower interlayer bonding strength and shorter fibers to improve the sound absorption effect.

[0025] Higher porosity can increase the sound wave absorption surface of the material, thereby effectively reducing the propagation of noise. However, an increase in porosity usually leads to a decrease in the density of the material, which will affect the isolation ability of low-frequency noise. Fine fibers can improve the flexibility of the material and increase the sound absorption capacity of the material, especially in the control of medium and high frequency noise. Larger fiber diameters usually help to improve the rigidity of the material, but reduce its absorption capacity for medium and high frequency noise. When the porosity is high, although the material can enhance the absorption of medium and high frequency noise, the isolation ability of low frequency noise is poor. By reducing the fiber diameter, the elasticity of the material can be improved, thereby enhancing its absorption capacity for low frequency noise. Fine fibers can increase the specific surface area of ​​the material, thereby improving the sound absorption effect. When the porosity is low, the sound absorption capacity of the material is weak, especially the absorption effect of high frequency noise is poor. Appropriately increasing the fiber diameter can increase the density and rigidity of the material and enhance its isolation effect for low frequency noise. Larger fiber diameters can improve the rigidity of the material and enhance the shielding ability for low frequency noise. At the same time, it can improve the stability and durability of the material to a certain extent.

[0026] Higher thermal conductivity causes greater thermal stress in the material when the temperature changes, which in turn affects its noise reduction effect. Temperature fluctuations can affect the structural stability and acoustic performance of the material. Through multi-layer material design, a layer combination suitable for different temperature environments can be selected. For example, the outer layer can choose a material with lower thermal conductivity to reduce the impact of temperature changes on material performance, while the inner layer can optimize sound absorption performance.

[0027] The technical effects and advantages of the noise reduction model of a multi-layered flexible textile composite material of the present invention are as follows: the present invention establishes and analyzes a noise reduction model by determining key physical parameters and selecting a suitable structure as a basis, and establishes an optimized noise reduction model based on the noise reduction model to obtain the optimal combination of physical parameters. By coordinating the relationship between the various parameters, the low-frequency noise can be suppressed without increasing the material thickness, while ensuring that good structural stability and practicality are maintained while maintaining the noise reduction performance. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 The present invention is a method flow chart of a noise reduction model of a multi-layered flexible textile composite material. DETAILED DESCRIPTION

[0029] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0030] Example 1

[0031] See also Figure 1 As shown in the method flow chart, the embodiment of the present invention provides a noise reduction model of a multi-layered flexible textile composite material, which includes the following steps:

[0032] Step S1, determining the key physical parameters that affect the noise reduction performance of the composite material, and analyzing its isolation and absorption effects on noises of different frequencies;

[0033] Step S2, establishing a noise reduction model to quantify the influence of physical parameters of the composite material on noise absorption and isolation effects for low-frequency noise;

[0034] Step S3, analyzing the physical parameters in the noise reduction model;

[0035] Step S4, establishing an optimized noise reduction model based on the noise reduction model and the analysis of the physical parameters, and obtaining an optimal physical parameter combination;

[0036] Step S5, coordinating the relationship between different physical parameters to ensure that the optimized noise reduction model can maintain its structural stability and practicality while maintaining the noise reduction effect.

[0037] Furthermore, the key physical parameters that affect the noise reduction performance of composite materials are determined, and a suitable composite material structure is selected as the basis, including the following specific contents: the basic composition of composite materials includes two parts: matrix material and filler. The matrix material is usually composed of polymers, rubber, metal or natural fibers, and the filler is some inorganic substances or fibers with specific sound-absorbing properties. When selecting materials, the elastic modulus and density of the material should be considered first. These two parameters directly affect the sound wave propagation speed of the material and the reflection and absorption capacity of the sound wave. High-density materials can effectively isolate low-frequency noise, but too high density may cause the material weight to increase. On the contrary, low-density materials perform better when dealing with high-frequency noise.

[0038] The higher the porosity of a material, the stronger its sound absorption capacity is usually, especially for the absorption of mid- and high-frequency noise. For the isolation of low-frequency noise, although materials with higher porosity can provide a certain absorption effect, relying solely on porosity is not enough to completely isolate low-frequency noise. Composite materials are composed of multiple layers of materials, in which the material properties and structural design of each layer will affect the propagation path and attenuation effect of sound waves. The interlayer bonding strength directly determines the degree of bonding between the layers of materials and affects the propagation mode of sound waves between layers. If the interlayer bonding strength is too low, the stability and noise reduction effect of the material will be affected, which may cause noise to propagate between layers. If the interlayer bonding strength is too high, although it can enhance the structural stability of the material, However, it may cause sound waves to reflect between layers, thereby reducing the noise absorption effect; small fibers have strong sound wave scattering ability, which can effectively enhance the rigidity of the material and suppress the propagation of low-frequency noise. Longer fibers can improve the overall structural stability and compressive strength of the material and enhance the isolation ability of sound waves; materials with high thermal conductivity are prone to thermal stress caused by temperature changes, which affects the rigidity and structural stability of the material, and then affects its noise reduction performance. In some applications where the ambient temperature changes greatly, materials with lower thermal conductivity can usually better maintain their noise reduction effect; temperature changes determine the volume change of the material. If the temperature of the material changes greatly, it will cause internal stress, thereby affecting the noise reduction effect of the composite material.

[0039] Furthermore, a noise reduction mathematical model is established to quantify the influence of the physical parameters of the composite material on the noise absorption and isolation effect for low-frequency noise, including the following specific contents: By establishing a noise reduction model, the specific contribution of the physical parameters in the composite material to noise absorption and isolation can be quantified, especially the control effect on low-frequency noise. The noise reduction model takes into account the acoustic characteristics of the multilayer composite material. The formula of the noise reduction model is:

[0040]

[0041] Where: ΔL is the noise attenuation of the material; S b is the interlayer bonding strength; α is the interlayer bonding strength S b The coefficient of Describes the effect of interlayer bonding strength on noise propagation. The exponential decay shows that the increase of interlayer bonding strength will intensify the noise attenuation effect, but when it is too large, it will lead to a decrease in absorption capacity; P is the porosity, which is the volume ratio of the voids inside the composite material; β is a coefficient related to the degree of influence of porosity, which determines the rate of change of noise attenuation when the porosity changes; e -βP The effect of porosity on noise absorption is described. When the porosity increases, the sound absorption capacity of the material is enhanced, but the effect on low-frequency noise is manifested in the form of exponential decay, indicating that the suppression effect of porosity on low-frequency noise is relatively weak; D is the fiber diameter; L is the fiber length; λ is the thermal conductivity, which is the ability of the material to transfer heat; ζ is the coefficient of the influence of thermal conductivity λ on the noise reduction effect; T is the temperature.

[0042] Furthermore, the physical parameters in the noise reduction model are analyzed, including the following specific contents: interlayer bonding strength S b It refers to the bonding strength between different layers in a composite material, which is achieved through adhesives or hot pressing processes. Materials with stronger interlayer bonding strength have better structural stability and can effectively reduce the spread of noise, especially in the control of low-frequency noise. Too strong interlayer bonding may cause the material to be too rigid, thereby affecting the absorption of low-frequency noise, while too weak interlayer bonding may cause overall instability of the material and affect the noise isolation effect. Therefore, appropriate interlayer bonding strength is the key to achieving the best noise reduction effect.

[0043] The porosity P determines the void ratio inside the material. Materials with higher porosity usually have better sound absorption capabilities, especially in the absorption of medium and high frequency noise. However, for low frequency noise, although the increase in porosity has a certain sound absorption effect, due to the longer wavelength of low frequency noise, the increase in porosity cannot completely and effectively isolate low frequency noise. By adjusting the porosity, the composite material can achieve the best effect in noise control of different frequencies.

[0044] Materials with smaller fiber diameters D have higher specific surface areas and stronger sound wave scattering capabilities, which help improve the material's absorption and isolation of low-frequency noise. Fiber length L has a direct impact on the material's density, rigidity, and stability. Longer fibers generally provide better mechanical properties and stability, thereby enhancing the ability to isolate low-frequency noise. However, fibers that are too long may reduce the flexibility of the material and affect its absorption of high-frequency noise. Therefore, when designing composite materials, the fiber diameter and length must be optimized according to noise reduction requirements.

[0045] Thermal conductivity λ determines the ability of a material to conduct heat. Higher thermal conductivity may cause greater thermal stress in the material when the temperature changes, affecting the stability of the material and thus indirectly affecting the noise reduction effect. Materials with lower thermal conductivity are usually able to better maintain their noise reduction effect.

[0046] As the temperature T changes, the physical properties of the material may change, thereby affecting its noise reduction performance. For example, in a high temperature environment, the material may expand or contract, affecting the stability of its structure, thereby changing the sound absorption performance of the material.

[0047] Furthermore, according to the noise reduction model and the analysis of the physical parameters, an optimized noise reduction model is established to obtain the optimal physical parameter combination, including the following specific contents: based on the noise reduction model and the analysis of the physical parameters in the noise reduction model, an optimized noise reduction model is established, and the optimal physical parameter combination is obtained by adjusting the physical parameters in the model to obtain the best noise reduction effect without significantly increasing the material thickness. The formula of the optimized noise reduction model is:

[0048]

[0049] Where: ΔL opt is the optimized noise attenuation; S b is the interlayer bonding strength; α is the interlayer bonding strength S b A1 is a coefficient used to adjust the degree of influence of interlayer bonding strength on noise attenuation; P is porosity; β is a coefficient related to the degree of influence of porosity, which determines the rate of change of noise attenuation when the porosity changes; A2 is used to adjust the influence of porosity on noise reduction effect; D is fiber diameter; δ is the exponential coefficient of the influence of the fiber diameter D on the noise reduction effect; L is fiber length; θ is the adjustment coefficient of the fiber length L, which reflects the degree of influence on noise attenuation when the fiber length changes; γ is an adjustment factor, which controls the relative contribution of the fiber diameter D and the fiber length L to the noise reduction effect; λ is thermal conductivity, which is the ability of a material to transfer heat; ζ is the coefficient of the influence of thermal conductivity λ on the noise reduction effect; μ is the coefficient of the influence of temperature change on the noise reduction effect; by adjusting physical parameters, such as interlayer bonding strength S b, porosity P, fiber diameter D, fiber length L, thermal conductivity λ and temperature T, to find the optimal combination of physical parameters, so as to optimize the noise reduction effect of the composite material on low-frequency noise without significantly increasing the material thickness.

[0050] Furthermore, the relationship between different physical parameters is coordinated to ensure that the noise reduction effect is maintained while maintaining the structural stability and practicality based on the optimized noise reduction model, including the following specific contents: In the noise reduction optimization model, each physical parameter has different degrees of influence on the noise reduction effect, structural stability and applicability. When adjusting the noise reduction performance of the composite material, the synergistic effect of the physical parameters is ensured to optimize the noise reduction effect while maintaining the structural stability and durability of the material.

[0051] Strong interlayer bonding strength can improve the overall stability of the material, prevent the layers from falling off or misaligning, and thus enhance the noise isolation ability, especially the isolation of low-frequency noise. However, too strong interlayer bonding may cause the material to be too rigid, thus affecting the absorption effect of low-frequency noise. At this time, the material's attenuation performance of low-frequency noise may be suppressed. Materials with longer fiber lengths can usually enhance the stability of the structure and improve the isolation ability of low-frequency noise. However, when the fiber length is too long, it may reduce the flexibility of the material, thereby affecting its absorption effect of high-frequency noise; when using a composite material with a multi-layer structure, different interlayer bonding strengths and fiber lengths can be used between different layers. For the outer layer material, use a higher interlayer bonding strength and longer fibers to enhance the structural strength; while the inner layer can use a lower interlayer bonding strength and shorter fibers to improve the sound absorption effect.

[0052] Higher porosity can increase the sound wave absorption surface of the material, thereby effectively reducing the propagation of noise. However, an increase in porosity usually leads to a decrease in the density of the material, which will affect the isolation ability of low-frequency noise. Fine fibers can improve the flexibility of the material and increase the sound absorption capacity of the material, especially in the control of medium and high frequency noise. Larger fiber diameters usually help to improve the rigidity of the material, but reduce its absorption capacity for medium and high frequency noise. When the porosity is high, although the material can enhance the absorption of medium and high frequency noise, the isolation ability of low frequency noise is poor. By reducing the fiber diameter, the elasticity of the material can be improved, thereby enhancing its absorption capacity for low frequency noise. Fine fibers can increase the specific surface area of ​​the material, thereby improving the sound absorption effect. When the porosity is low, the sound absorption capacity of the material is weak, especially the absorption effect of high frequency noise is poor. Appropriately increasing the fiber diameter can increase the density and rigidity of the material and enhance its isolation effect for low frequency noise. Larger fiber diameters can improve the rigidity of the material and enhance the shielding ability for low frequency noise. At the same time, it can improve the stability and durability of the material to a certain extent.

[0053] Higher thermal conductivity causes greater thermal stress in the material when the temperature changes, which in turn affects its noise reduction effect. Temperature fluctuations can affect the structural stability and acoustic performance of the material. Through multi-layer material design, a layer combination suitable for different temperature environments can be selected. For example, the outer layer can choose a material with lower thermal conductivity to reduce the impact of temperature changes on material performance, while the inner layer can optimize sound absorption performance.

[0054] The present invention establishes and analyzes a noise reduction model by determining key physical parameters and selecting a suitable structure as a basis, and establishes an optimized noise reduction model based on the noise reduction model to obtain the optimal combination of physical parameters. By coordinating the relationship between various parameters, the low-frequency noise is suppressed without increasing the material thickness, while ensuring that good structural stability and practicality are maintained while maintaining the noise reduction performance.

[0055] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0056] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A noise reduction model of a multi-layered flexible textile composite material, characterized in that: The steps include: Step S1, determining the key physical parameters that affect the noise reduction performance of the composite material, and analyzing its isolation and absorption effects on noises of different frequencies; Step S2, establishing a noise reduction model, quantifying the influence of the physical parameters of the composite material on the noise absorption and isolation effect for low-frequency noise, and describing the quantitative method of the influence of the physical parameters on the noise absorption and isolation effect and the functional relationship of each parameter in the noise reduction model; Step S3, analyzing the physical parameters in the noise reduction model, analyzing the physical parameters in the noise reduction model from the perspective of their own characteristics, material structure stability, and different frequency noise absorption and isolation effects; Step S4, based on the noise reduction model and the analysis of the physical parameters, an optimized noise reduction model is established to obtain the optimal physical parameter combination. The formula of the optimized noise reduction model is: Where: ΔL opt is the optimized noise attenuation; S b is the interlayer bonding strength; α is the interlayer bonding strength S b A1 is a coefficient used to adjust the influence of interlayer bonding strength on noise attenuation; P is porosity; β is a coefficient related to the influence of porosity; A2 is used to adjust the influence of porosity on noise reduction effect; D is fiber diameter; δ is the exponential coefficient of the influence of the fiber diameter D on the noise reduction effect; L is fiber length; θ is the adjustment coefficient of the fiber length L; γ is the adjustment factor; λ is thermal conductivity, which is the ability of the material to transfer heat; ζ is the coefficient of the influence of thermal conductivity λ on the noise reduction effect; μ is the coefficient of the influence of temperature change on the noise reduction effect; Step S5, coordinating the relationship between different physical parameters.

2. A noise reduction model of a multilayered flexible textile composite material according to claim 1, characterized in that In step S2, by establishing a noise reduction model, the specific contribution of physical parameters in the composite material to noise absorption and isolation, especially the control effect on low-frequency noise, can be quantified. The noise reduction model takes into account the acoustic characteristics of the multilayer composite material. The formula of the noise reduction model is: Where: ΔL is the noise attenuation of the material; S b is the interlayer bonding strength; α is the interlayer bonding strength S b The coefficient of Describes the effect of interlayer bonding strength on noise propagation. The exponential decay shows that the increase in interlayer bonding strength will intensify the noise attenuation effect. P is the porosity, which is the volume ratio of the voids inside the composite material. β is a coefficient related to the degree of influence of porosity, which determines the rate of change of noise attenuation when the porosity changes. e -βP The effect of porosity on noise absorption is described. When the porosity increases, the sound absorption capacity of the material is enhanced, but the effect on low-frequency noise is manifested in the form of exponential decay, indicating that the suppression effect of porosity on low-frequency noise is relatively weak; D is the fiber diameter; L is the fiber length; λ is the thermal conductivity, which is the ability of the material to transfer heat; ζ is the coefficient of the influence of thermal conductivity λ on the noise reduction effect; T is the temperature.

3. The noise reduction model of a multilayer flexible textile composite material according to claim 1, characterized in that In the step S3, the physical parameters in the noise reduction model are analyzed, and the interlayer bonding strength is achieved through an adhesive or a hot pressing process. The stronger the interlayer bonding, the better the structural stability, which can reduce noise propagation.

4. The noise reduction model of a multi-layered flexible textile composite material according to claim 1, characterized in that: In step S3, the physical parameters in the noise reduction model are analyzed. The porosity determines the proportion of voids inside the material. High-porosity materials have good sound absorption capabilities. The porosity is adjusted so that the composite material can achieve the best effect in controlling noise at different frequencies.

5. The noise reduction model of a multi-layered flexible textile composite material according to claim 1, characterized in that: In step S3, the physical parameters in the noise reduction model are analyzed. Materials with small fiber diameters have high specific surface areas and strong sound wave scattering capabilities, which help to improve the absorption and isolation of low-frequency noise. Fiber length affects material density, rigidity and stability. Long fibers provide better mechanical properties and stability to enhance low-frequency noise isolation capabilities.

6. The noise reduction model of a multi-layered flexible textile composite material according to claim 1, characterized in that: In step S3, the physical parameters in the noise reduction model are analyzed. When the temperature of a material with high thermal conductivity changes, large thermal stress will be generated, which will affect the stability and thus indirectly affect the noise reduction effect. A material with low thermal conductivity can maintain the noise reduction effect.

7. The noise reduction model of a multi-layered flexible textile composite material according to claim 1, characterized in that: In step S5, when coordinating the relationship between physical parameters, the relationship between interlayer bonding strength and structural stability is considered so that the interlayer bonding strength is maintained at a level that can reduce noise propagation.

8. The noise reduction model of a multi-layered flexible textile composite material according to claim 1, characterized in that: In step S5, when coordinating the relationship between physical parameters, the relationship between porosity, noise reduction effect and structural stability is balanced. By adjusting the porosity, the composite material can achieve the best effect in controlling noise of different frequencies while maintaining the stability of the material structure, thereby avoiding the adverse effect of porosity on structural stability.

9. The noise reduction model of a multi-layered flexible textile composite material according to claim 1, characterized in that: In step S5, when coordinating the relationship between physical parameters, the relationship between thermal conductivity and material stability and noise reduction performance is controlled to keep the thermal conductivity at a low level to reduce the impact of thermal stress generated when temperature changes on material stability, thereby maintaining its noise reduction effect and ensuring the practicality of the composite material under different temperature environments.

10. The noise reduction model of a multi-layered flexible textile composite material according to claim 1, characterized in that: In step S5, when coordinating the relationship between physical parameters, the relationship between temperature change and the physical properties and noise reduction performance of the material is considered, and measures are taken to reduce the impact of material expansion or contraction caused by temperature change on structural stability, thereby maintaining the stability of the sound absorption performance of the material.

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