Noise Reduction Model of a Multilayer Flexible Textile Composite Material

Abstract

The present invention relates to the technical field of model construction, and specifically discloses a noise reduction model for a multi-layer flexible textile composite material. By determining the key physical parameters affecting the noise reduction performance of the composite material and selecting a suitable composite material structure as the basis; establishing a noise reduction mathematical model, aiming at low-frequency noise, quantifying the influence of the physical parameters of the composite material on the noise absorption and isolation effects; analyzing the physical parameters in the noise reduction model; establishing an optimized noise reduction model, obtaining the optimal combination of physical parameters, and realizing the suppression of low-frequency noise without increasing the thickness of the composite material by coordinating the relationships of the parameters.

Description

Technical Field

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

[0002] Existing noise reduction technologies mainly rely on traditional sound insulation materials such as foams, sound insulation boards, sound absorption 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 an urgent technical problem to be solved currently. 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 for a multi-layer flexible textile composite material. Based on determining key physical parameters and selecting a suitable structure, a noise reduction model is established and analyzed, and an optimized noise reduction model is established based on the noise reduction model to obtain the optimal combination of physical parameters. By coordinating the relationships of various parameters, the suppression of low-frequency noise is achieved without increasing the thickness of the composite material, so as to solve the problems raised in the above background art.

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

[0005] A noise reduction model for a multi-layer flexible textile composite material, comprising the following steps:

[0006] Step S1: Determine the key physical parameters affecting the noise reduction performance of the composite material, and analyze its isolation and absorption effects on noises of different frequencies;

[0007] Step S2: Establish a noise reduction model. For low-frequency noise, quantify the influence of the physical parameters of the composite material on the noise absorption and isolation effects, and elaborate on the quantification method of the influence of the physical parameters on the noise absorption and isolation effects and the functional relationships of each parameter in the noise reduction model;

[0008] Step S3: Analyze the physical parameters in the noise reduction model. Analyze the physical parameters in the noise reduction model from their own characteristics, the stability of the material structure, and the absorption and isolation effects on noises of different frequencies;

[0009] Step S4: According to the noise reduction model and the analysis of the physical parameters, establish an optimized noise reduction model to obtain the optimal combination of physical parameters. 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 coefficient of the interlayer bonding strength S b ; A 1 is used to adjust the influence degree of the interlayer bonding strength on noise attenuation; P is the porosity; β is the coefficient related to the influence degree of the porosity, which determines the change rate of the noise attenuation when the porosity changes; A 2 is used to adjust the influence of the porosity on the noise reduction effect; D is the fiber diameter; δ is the exponential coefficient of the influence of the fiber diameter D on the noise reduction effect; L is the fiber length; θ is the adjustment coefficient of the fiber length L, which reflects the influence degree of the change of the fiber length on noise attenuation; γ is the adjustment factor, which controls the relative contribution of the fiber diameter D and the fiber length L to the noise reduction effect; λ is the thermal conductivity, which is the ability of the material to transfer heat; ζ is the coefficient of the influence degree of the thermal conductivity λ on the noise reduction effect; μ is the coefficient of the influence degree of the temperature change on the noise reduction effect; by adjusting physical parameters, such as the interlayer bonding strength S b , the porosity P, the fiber diameter D, the fiber length L, the thermal conductivity λ and the temperature T, find the optimal combination of physical parameters, so as to optimize the noise reduction effect of the composite material for low-frequency noise without significantly increasing the material thickness;

[0012] Step S5, coordinate the relationship between different physical parameters to ensure that while maintaining the noise reduction effect based on the optimized noise reduction model, its structural stability and practicability can still be maintained.

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

[0014] The higher the porosity of the material, the stronger the sound absorption ability of the material is usually, especially for the absorption of medium and high frequency noises, which is more significant. For the isolation of low frequency noises, although materials with a higher porosity can provide a certain absorption effect, relying solely on the porosity is not sufficient to completely isolate low frequency noises; The composite material is composed of multiple layers of materials, and the material properties and structural design of each layer will affect the propagation path and attenuation effect of sound waves in it. The interlayer bonding strength directly determines the degree of combination between the layers of materials and affects the propagation mode of sound waves between the layers. If the interlayer bonding strength is too low, the stability and noise reduction effect of the material will be affected, and it may lead to the propagation of noise between the layers. If the interlayer bonding strength is too high, although it can enhance the structural stability of the material, it may cause the reflection of sound waves between the layers, thereby reducing the noise absorption effect; Fine fibers have strong sound wave scattering ability, can effectively enhance the rigidity of the material, and inhibit the propagation of low frequency noises. Longer fibers can improve the overall structural stability and compressive strength of the material and enhance the ability to isolate sound waves; Materials with high thermal conductivity are prone to thermal stress caused by temperature changes, which will affect the rigidity and structural stability of the material, and thus affect its noise reduction performance. In some application scenarios with large environmental temperature changes, 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. For low frequency noises, the influence of the physical parameters of the composite material on the noise absorption and isolation effects is quantified, including the following specific contents: By establishing the noise reduction model, the specific contributions of the physical parameters in the composite material to noise absorption and isolation can be quantified, especially the control effect on low frequency noises. The noise reduction model takes into account the acoustic characteristics of the multi-layer composite material. The formula of the noise reduction model is:

[0016]

[0017] In the formula: ΔL is the noise attenuation amount of the material; S b is the interlayer bonding strength; α is the coefficient of the interlayer bonding strength S b ; describes the influence of the interlayer bonding strength on the noise propagation. The exponential attenuation indicates that an increase in the interlayer bonding strength will intensify the noise attenuation effect, but when it is too large, it will lead to a decrease in the absorption ability; P is the porosity, which is the volume ratio of the internal voids of the composite material; β is the coefficient related to the influence degree of the porosity, which determines the change rate of the noise attenuation amount when the porosity changes; e -βPThe influence of porosity on noise absorption is described. When the porosity increases, the sound absorption ability of the material enhances. However, the influence on low-frequency noise is presented in the form of exponential decay, indicating that the inhibitory 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 degree of the thermal conductivity λ on the noise reduction effect; T is the temperature.

[0018] As a further aspect of the present invention, the physical parameters in the noise reduction model are analyzed, including the following specific contents: the interlayer bonding strength S b It refers to the bonding force between different layers in the 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 propagation of noise, especially in the control of low-frequency noise. Excessively strong interlayer bonding may lead to excessive rigidity of the material, thereby affecting the absorption effect of low-frequency noise, while too weak interlayer bonding may lead to the overall instability of the material and affect the noise isolation effect. Therefore, an appropriate interlayer bonding strength is the key to achieving the best noise reduction effect.

[0019] The porosity P determines the proportion of voids inside the material. Materials with higher porosity usually have better sound absorption ability, especially prominent 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 at different frequencies.

[0020] Materials with a smaller fiber diameter D have a higher specific surface area and stronger sound wave scattering ability, which helps to improve the absorption and isolation effects of the material on low-frequency noise. The fiber length L has a direct impact on the density, rigidity, and stability of the material. Longer fibers can usually provide better mechanical properties and stability, thereby enhancing the isolation ability of low-frequency noise. However, overly long fibers may lead to a decrease in the flexibility of the material and affect its absorption effect on high-frequency noise. Therefore, when designing the composite material, the diameter and length of the fibers must be optimized according to the noise reduction requirements.

[0021] The thermal conductivity λ determines the ability of the material to conduct heat. A 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 can usually 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, and thus causing changes in the sound absorption performance of the material.

[0023] As a further aspect of the present invention, coordinating the relationships between different physical parameters to ensure that, while maintaining the noise reduction effect, the optimized noise reduction model can still maintain its structural stability and practicality, 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, ensure the synergistic effect of the physical parameters to optimize the noise reduction effect while maintaining the structural stability and durability of the material.

[0024] A stronger interlayer bonding strength can improve the overall stability of the material, prevent delamination or misalignment between layers, and thus enhance the noise isolation ability, especially for low-frequency noise. However, overly strong interlayer bonding may lead to excessive rigidity of the material, thereby affecting the absorption effect of low-frequency noise. At this time, the attenuation performance of the material for low-frequency noise may be inhibited. Materials with longer fiber lengths can generally enhance the structural stability and improve the isolation ability for low-frequency noise. However, when the fiber length is too long, it may cause a decrease in the flexibility of the material, thereby affecting its absorption effect for 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 for the inner layer, a lower interlayer bonding strength and shorter fibers can be used to improve the sound absorption effect.

[0025] A higher porosity can increase the sound wave absorption surface of the material, thereby effectively reducing the propagation of noise. However, the increase in porosity usually leads to a decrease in the density of the material, which will affect the isolation ability for low-frequency noise; Fine fibers can improve the flexibility of the material and increase its sound absorption ability, especially in the control of medium and high-frequency noise. A larger fiber diameter generally helps to improve the rigidity of the material but will reduce its absorption ability for medium and high-frequency noise; When the porosity is high, although it can enhance the absorption of medium and high-frequency noise by the material, its isolation ability for low-frequency noise is poor. By reducing the fiber diameter, the elasticity of the material can be improved, thereby enhancing its absorption ability 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 ability of the material is weak, especially the absorption effect for high-frequency noise is poor. Appropriately increasing the fiber diameter can increase the density and rigidity of the material, enhance its isolation effect for low-frequency noise. A larger fiber diameter can improve the rigidity of the material, enhance the shielding ability for low-frequency noise, and at the same time can improve the stability and durability of the material to a certain extent.

[0026] A 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 is selected. For example, a material with a lower thermal conductivity can be selected for the outer layer to reduce the impact of temperature changes on the material properties, while the inner layer can optimize the sound absorption performance.

[0027] The technical effects and advantages of the noise reduction model of a multi-layer flexible textile composite material of the present invention: Based on determining key physical parameters and selecting a suitable structure, the present invention establishes and analyzes a noise reduction model, and based on the noise reduction model, an optimized noise reduction model is established to obtain the optimal combination of physical parameters. By coordinating the relationships of various parameters, the suppression of low-frequency noise is achieved without increasing the material thickness, while ensuring good structural stability and practicality while maintaining the noise reduction performance. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 It is a flowchart of a method for a noise reduction model of a multi-layer flexible textile composite material of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0029] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0030] Embodiment 1

[0031] Refer to Figure 1 The method flowchart shown. The embodiment of the present invention provides a noise reduction model for a multi-layer flexible textile composite material, which includes the following steps:

[0032] Step S1, determine the key physical parameters affecting the noise reduction performance of the composite material, and analyze its isolation and absorption effects on noises of different frequencies;

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

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

[0035] Step S4, according to the noise reduction model and the analysis of the physical parameters, establish an optimized noise reduction model to obtain the optimal combination of physical parameters;

[0036] Step S5: Coordinate the relationships between different physical parameters to ensure that based on the optimized noise reduction model, while maintaining the noise reduction effect, its structural stability and practicality can still be maintained.

[0037] Furthermore, determine the key physical parameters affecting the noise reduction performance of the composite material and select a suitable composite material structure as the basis, including the following specific contents: The basic composition of the composite material includes two parts: the matrix material and the filler. The matrix material is usually composed of polymers, rubbers, metals, or natural fibers, etc. The filler is some inorganic substances or fibers with specific sound absorption characteristics. When selecting materials, the elastic modulus and density of the materials should be considered first. These two parameters directly affect the sound wave propagation speed and the reflection and absorption ability of sound waves in the material. Materials with high density can effectively isolate low-frequency noise, but too high density may lead to an increase in the weight of the material. On the contrary, low-density materials perform better in dealing with high-frequency noise.

[0038] The higher the porosity of the material, the stronger the sound absorption ability of the material is usually, especially the absorption of medium and high-frequency noise is more significant. For the isolation of low-frequency noise, although materials with higher porosity can provide a certain absorption effect, relying solely on porosity is not sufficient to completely isolate low-frequency noise; The composite material is composed of multiple layers of materials, and the material properties and structural design of each layer will affect the propagation path and attenuation effect of sound waves in it. The interlayer bonding strength directly determines the bonding degree between the layers of materials and affects the propagation mode of sound waves between the layers. If the interlayer bonding strength is too low, the stability and noise reduction effect of the material will be affected, and noise may be transmitted between the layers. If the interlayer bonding strength is too high, although it can enhance the structural stability of the material, it may lead to the reflection of sound waves between the layers, thus reducing the noise absorption effect; Fine fibers have strong sound wave scattering ability, can effectively enhance the rigidity of the material, and inhibit 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 thus affects its noise reduction performance. In some application scenarios with large environmental temperature changes, 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, thus affecting the noise reduction effect of the composite material.

[0039] Furthermore, establish a noise reduction mathematical model to quantify the influence of the physical parameters of the composite material on the noise absorption and isolation effects for low-frequency noise, including the following specific contents: By establishing a noise reduction model, the specific contributions 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 multi-layer composite materials. The formula of the noise reduction model is:

[0040]

[0041] In the formula: ΔL is the noise attenuation of the material; S b is the interfacial bonding strength; α is the coefficient of the interfacial bonding strength S b ; describes the influence of the interfacial bonding strength on noise propagation. The exponential decay indicates that an increase in the interfacial bonding strength will intensify the noise attenuation effect, but when it is too large, it will lead to a decrease in the absorption capacity; P is the porosity, which is the volume ratio of the voids inside the composite material; β is the coefficient related to the influence degree of the porosity, which determines the change rate of the noise attenuation when the porosity changes; e -βP describes the influence of the porosity on noise absorption. When the porosity increases, the sound absorption capacity of the material increases, but the influence on low-frequency noise is presented in the form of exponential decay, indicating that the inhibitory effect of the 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 degree of the thermal conductivity λ on the noise reduction effect; T is the temperature.

[0042] Furthermore, analyzing the physical parameters in the noise reduction model includes the following specific contents: The interfacial bonding strength S b refers to the bonding force between different layers in the composite material, which is achieved through adhesives or hot pressing processes. Materials with stronger interfacial bonding strength have better structural stability and can effectively reduce the propagation of noise, especially in the control of low-frequency noise; overly strong interfacial bonding may lead to excessive rigidity of the material, thereby affecting the absorption effect of low-frequency noise, while overly weak interfacial bonding may lead to overall instability of the material and affect the noise isolation effect. Therefore, an appropriate interfacial 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 a higher porosity usually have better sound absorption capacity, especially prominent in the absorption of medium and high-frequency noise. However, for low-frequency noise, although an increase in the 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 at different frequencies.

[0044] Materials with a smaller fiber diameter D have a higher specific surface area and stronger sound wave scattering ability, which helps to improve the absorption and isolation effect of the materials on low-frequency noise. The fiber length L has a direct impact on the density, rigidity, and stability of the materials. Longer fibers can usually provide better mechanical properties and stability, thus enhancing the isolation ability of low-frequency noise. However, overly long fibers may lead to a reduction in the flexibility of the materials, affecting their absorption effect on high-frequency noise. Therefore, when designing composite materials, the diameter and length of the fibers must be optimized according to the noise reduction requirements.

[0045] The thermal conductivity λ determines the ability of the material to conduct heat. A higher thermal conductivity may cause significant thermal stress in the material during temperature changes, affecting the stability of the material and indirectly affecting the noise reduction effect. Materials with a lower thermal conductivity can usually 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, and thus changing the sound absorption performance of the material.

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

[0048]

[0049] Where: ΔL opt is the optimized noise attenuation; S b is the interfacial bonding strength; α is the coefficient of the interfacial bonding strength S b ; A 1 is used to adjust the influence degree of the interfacial bonding strength on noise attenuation; P is the porosity; β is the coefficient related to the influence degree of the porosity, which determines the change rate of the noise attenuation when the porosity changes; A 2For adjusting the influence of porosity on the noise reduction effect; D is the fiber diameter; δ is the exponential coefficient of the influence of the fiber diameter D on the noise reduction effect; L is the fiber length; θ is the adjustment coefficient of the fiber length L, reflecting the degree of influence on noise attenuation when the fiber length changes; γ is the adjustment factor, controlling the relative contribution of the fiber diameter D and the fiber length L to the noise reduction effect; λ is the thermal conductivity, which is the ability of the material to transfer heat; ζ is the coefficient of the influence degree of the thermal conductivity λ on the noise reduction effect; μ is the coefficient of the influence degree of temperature change on the noise reduction effect; by adjusting physical parameters, such as the interlayer bonding strength S b , porosity P, fiber diameter D, fiber length L, thermal conductivity λ and temperature T, find the optimal combination of physical parameters, so as to optimize the noise reduction effect of the composite material for low-frequency noise without significantly increasing the material thickness.

[0050] Furthermore, coordinate the relationships between different physical parameters to ensure that while maintaining the noise reduction effect based on the optimized noise reduction model, its structural stability and practicality can still be maintained, 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, ensure the synergistic effect of physical parameters to optimize the noise reduction effect while maintaining the structural stability and durability of the material.

[0051] A stronger interlayer bonding strength can improve the overall stability of the material, prevent delamination or dislocation between layers, thereby enhancing the noise isolation ability, especially for low-frequency noise. However, too strong interlayer bonding may lead to excessive rigidity of the material, thus affecting the absorption effect of low-frequency noise. At this time, the attenuation performance of the material for low-frequency noise may be inhibited. Materials with longer fiber lengths can usually enhance the structural stability and improve the isolation ability for low-frequency noise. But when the fiber length is too long, it may lead to a decrease in the flexibility of the material, thereby affecting its absorption effect for 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 for the inner layer, a lower interlayer bonding strength and shorter fibers can be used to improve the sound absorption effect.

[0052] A higher porosity can increase the sound wave absorption surface of the material, thus 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 its sound absorption ability, especially in the control of medium and high-frequency noise. A larger fiber diameter usually helps to improve the rigidity of the material, but will reduce its absorption ability for medium and high-frequency noise; when the porosity is high, although it can enhance the absorption of medium and high-frequency noise by the material, its isolation ability for low-frequency noise is poor. By reducing the fiber diameter, the elasticity of the material can be improved, thereby enhancing its absorption ability for low-frequency noise. Fine fibers can increase the specific surface area of the material, thus improving the sound absorption effect. When the porosity is low, the sound absorption ability of the material is weak, especially the absorption effect for high-frequency noise is poor. Appropriately increasing the fiber diameter can increase the density and rigidity of the material, enhance its isolation effect for low-frequency noise. A larger fiber diameter can improve the rigidity of the material, enhance the shielding ability for low-frequency noise, and at the same time can improve the stability and durability of the material to a certain extent.

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

[0054] Based on determining the key physical parameters and selecting a suitable structure, the present invention establishes and analyzes a noise reduction model, and based on the noise reduction model, an optimized noise reduction model is established to obtain the optimal combination of physical parameters. By coordinating the relationships of various parameters, the suppression of low-frequency noise is achieved without increasing the material thickness, while ensuring good structural stability and practicality while maintaining the noise reduction performance.

[0055] The above is only the specific implementation manner of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art within the technical scope disclosed in this application can easily think of changes or substitutions, which should all be covered within the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

[0056] Finally: The above is only the preferred embodiment of the present invention and is not used to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention shall be included within 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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