Radiation noise analysis method, system and device and storage medium

Abstract

The embodiment of the invention provides a radiation noise analysis method, system and device and a storage medium, and relates to the technical field of sewing machine shell noise analysis, and the method comprises the steps: generating an overall three-dimensional structure grid and a surface two-dimensional acoustic grid based on a three-dimensional model of a sewing machine shell, and building a field point grid representing the ear of an operator; constructing an acoustic vibration coupling interface based on the overall three-dimensional structure grid, the surface two-dimensional acoustic grid and the field point grid; applying mechanical excitation and sound source excitation, and solving to obtain the sound power at the field point grid; and meanwhile, calculating the contribution amount of the enclosure to the noise in a plurality of preset vibration modes, and combining the contribution amount with the sound power of the field point grid for analysis to obtain enclosure noise evaluation. According to the sound power received by the field point grid and the noise frequency of the vibration of the machine shell, the noise intensity of the machine shell at the human ear is judged, the noise response of the ear position of an operator is accurately predicted, the accuracy of analysis and evaluation of the sewing machine shell is improved, and the misjudgment risk is reduced.

Description

Technical Field

[0001] This invention relates to the field of sewing machine housing noise analysis technology, and more specifically, to a radiated noise analysis method, system, device, and storage medium. Background Technology

[0002] Sewing machines, as key equipment in the textile machinery field, are widely used in various industries such as clothing, home textiles, and leather products. Among them, high-speed flatbed sewing machines typically reach speeds of over 4000 rpm during operation. The torque generated by the motor drive is transmitted through the transmission system to the needle-punching mechanism, the feed dog, and the rotary hook, forming complex periodic motions.

[0003] During this process, the electromagnetic excitation of the motor itself and the unbalanced inertial forces generated by various rotating and reciprocating components constitute the main dynamic excitation source of the entire machine. This excitation energy is radiated directly into noise through air propagation, and is also transmitted to the casing through structural paths such as bearings and supports, exciting the surface vibration of the casing and further radiating noise into the surrounding space. Its structural stiffness, modal characteristics, and surface vibration distribution directly affect the intensity and spectral characteristics of the final radiated noise.

[0004] Since the sewing machine casing is the largest external structural component and located at the end of the main vibration transmission path, the typical approach is to perform finite element modal analysis on the casing to obtain its natural frequencies and mode shapes, and then combine this with static or quasi-static stiffness evaluation to predict the casing's vibration resistance. However, this method only reflects the structure's own dynamic characteristics and cannot directly quantify the sound power level radiated by the casing under actual operating conditions. In particular, it cannot accurately predict the noise response at the operator's ear position, leading to significant uncertainty and risk of misjudgment in the analysis and evaluation of casing noise. Summary of the Invention

[0005] In view of this, the purpose of the present invention is to provide a radiated noise analysis method, system, device and storage medium. Under applied mechanical excitation and sound source excitation, sound waves are transmitted to the field point grid through the acoustic-vibration coupling interface obtained by the structural grid, acoustic grid and field point grid. This allows for the evaluation of the noise intensity of the sewing machine casing at the human ear based on the sound power received by the field point grid and the noise frequency of the casing vibration, accurately predicting the noise response at the operator's ear position, improving the accuracy of the analysis and evaluation of the sewing machine casing and reducing the risk of misjudgment.

[0006] To achieve the above objectives, in a first aspect, embodiments of the present invention provide a method for analyzing radiated noise. The method includes: generating an overall three-dimensional structural mesh and a surface two-dimensional acoustic mesh of the sewing machine casing based on an acquired three-dimensional model of the sewing machine casing, and establishing a field point mesh for receiving noise, wherein the field point mesh represents the position of the operator's ear; constructing an acoustic-vibration coupling interface based on the overall three-dimensional structural mesh, the surface two-dimensional acoustic mesh, and the field point mesh; applying mechanical excitation and sound source excitation to the sewing machine casing, wherein the mechanical excitation is a load force simulating the sewing machine casing, and the sound source excitation is a noise emitted from inside the sewing machine casing; solving for the acoustic power of the noise reaching the field point mesh after passing through the acoustic-vibration coupling interface based on the mechanical excitation and the sound source excitation; obtaining the contribution of the sewing machine casing to the noise under multiple preset vibration modes based on the mechanical excitation; and analyzing the noise evaluation of the sewing machine casing based on the acoustic power of the field point mesh and the contribution of the sewing machine casing to the noise under each preset vibration mode.

[0007] In this embodiment, a three-dimensional structural mesh and a two-dimensional acoustic mesh are generated for the sewing machine casing, and a field point mesh is established to simulate the position of the operator's ear. This facilitates the establishment of the acoustic-vibration coupling interface between the structural mesh and the acoustic mesh in the simulation. Mechanical excitation and sound source excitation are applied to simulate the mechanical vibration and internal noise of the sewing machine casing. This allows the noise generated by the mechanical vibration emanating from the acoustic-vibration coupling interface and the noise generated by the sound source to be obtained at the field point mesh. The corresponding sound power and the contribution of the sewing machine casing to the noise under multiple preset vibration modes are obtained. Based on the contribution of the sewing machine casing vibration noise and the sound power received by the field point mesh, the noise intensity of the sewing machine casing at the human ear is comprehensively evaluated, accurately predicting the noise response at the operator's ear position, improving the accuracy of the analysis and evaluation of the sewing machine casing and reducing the risk of misjudgment. Under the applied mechanical and acoustic excitation, the sound waves are transmitted to the field point grid through the acoustic-vibration coupling interface obtained by the structural grid, acoustic grid, and field point grid. This allows for the evaluation of the noise intensity of the sewing machine casing at the human ear based on the sound power received by the field point grid and the noise frequency of the casing vibration. This enables accurate prediction of the noise response at the operator's ear position, improving the accuracy of the analysis and evaluation of the sewing machine casing and reducing the risk of misjudgment.

[0008] In some embodiments, the step of obtaining the acoustic power of the noise reaching the field point grid after passing through the acoustic-vibration coupling interface based on the mechanical excitation and the acoustic source excitation includes: obtaining the mechanical noise transmitted from the acoustic-vibration coupling interface by the mechanical excitation and the acoustic source noise transmitted from the acoustic-vibration coupling interface by the acoustic source excitation based on the field point grid; and obtaining the acoustic power of the field point grid by performing acoustic-vibration coupling solution based on the mechanical noise and the acoustic source noise.

[0009] This setup facilitates noise simulation of the field point mesh based on the mechanical noise obtained from mechanical excitation and the sound source noise obtained from sound source excitation. This allows the mechanical noise and sound source noise to be transmitted to the field point mesh through the acoustic-vibration coupling interface, thereby achieving collaborative modeling and accurate solution of multi-path noise sources and improving the realism and engineering guidance value of the simulation results.

[0010] In some embodiments, the noise evaluation includes noise acceptable and noise unacceptable. The step of analyzing the noise evaluation of the sewing machine casing based on the sound power of the field grid and the contribution of the sewing machine casing to the noise under each preset vibration mode includes: determining the vibration frequency with the largest contribution based on the contribution of the sewing machine casing to the noise under each preset vibration mode; determining the noise intensity corresponding to the sound power of the field grid based on the vibration frequency with the largest contribution; determining that the noise of the sewing machine casing is unacceptable if the noise intensity is greater than or equal to a preset threshold; and determining that the noise of the sewing machine casing is acceptable if the noise intensity is less than the preset threshold.

[0011] This setup allows the noise assessment of the sewing machine casing to not only rely on noise intensity comparisons but also incorporate vibration mode and frequency analysis, enhancing the technical depth of the judgment criteria and enabling designers to identify key risk frequencies and take targeted optimization measures at an early stage.

[0012] In some embodiments, after determining that the sewing machine casing noise is unqualified when the noise intensity is greater than or equal to a preset threshold, the method includes: dividing the surface two-dimensional acoustic mesh into multiple noise surfaces; solving for the noise contribution of each noise surface based on the mechanical excitation and the sound source excitation; determining the noise surface with the largest contribution from the noise contributions of each noise surface based on the vibration frequency with the largest contribution; optimizing the noise surface with the largest contribution to obtain a qualified sewing machine casing.

[0013] This setup allows for precise location of the noisiest surface, which helps optimize the noise level and obtain a sewing machine casing with acceptable noise levels, significantly improving the accuracy and efficiency of noise reduction design.

[0014] In some embodiments, optimizing the noise surface with the largest contribution to obtain a qualified sewing machine casing includes: performing simulation analysis on the overall three-dimensional structural mesh to obtain mode shapes of the sewing machine casing under multiple preset vibration modes, wherein darker colors in the mode shapes represent more intense vibrations; determining the region of intense vibration based on the color intensity of the noise surface with the largest contribution in the mode shapes; and optimizing the region of intense vibration to obtain a qualified sewing machine casing.

[0015] This setup allows for the identification of specific regions within the noise surface that experience intense vibrations and high noise intensity, based on the mode shape corresponding to the noise surface. This enables a layer-by-layer drilling analysis from the macroscopic noise surface to the microscopic vibration region, making structural improvements more physically grounded and technically feasible.

[0016] In some embodiments, generating the overall three-dimensional structural mesh and the surface two-dimensional acoustic mesh of the sewing machine housing based on the acquired three-dimensional model of the sewing machine housing includes: generating the overall three-dimensional structural mesh of the sewing machine housing based on the acquired three-dimensional model of the sewing machine housing; and generating the surface two-dimensional acoustic mesh of the sewing machine housing based on the overall three-dimensional structural mesh.

[0017] This setup, which generates acoustic meshes from structural meshes, not only improves modeling efficiency but also enhances the collaborative accuracy between multiphysics simulations, laying the foundation for subsequent high-fidelity acoustic predictions.

[0018] In some embodiments, constructing the acoustic-vibration coupling interface based on the overall three-dimensional structural mesh, the surface two-dimensional acoustic mesh, and the field point mesh includes: generating an assembly mesh based on the overall three-dimensional structural mesh, the surface two-dimensional acoustic mesh, and the field point mesh; and constructing the acoustic-vibration coupling interface between the surface two-dimensional acoustic mesh and the overall three-dimensional structural mesh based on the assembly mesh.

[0019] This setup, by first generating a unified assembly mesh and then defining the coupling relationships, effectively ensures the consistency of multi-source data and the integrity of the coupling logic, thereby improving the stability and accuracy of the simulation.

[0020] In a second aspect, embodiments of the present invention provide a radiated noise analysis system, the system comprising: A construction module is used to generate an overall three-dimensional structural mesh and a surface two-dimensional acoustic mesh of the sewing machine casing based on the acquired three-dimensional model of the sewing machine casing, and to establish a field point mesh for receiving noise, wherein the field point mesh represents the position of the operator's ear; and to construct an acoustic-vibration coupling interface based on the overall three-dimensional structural mesh, the surface two-dimensional acoustic mesh and the field point mesh. The processing module is used to apply mechanical excitation and acoustic source excitation to the sewing machine housing. The mechanical excitation simulates the load force on the sewing machine housing, and the acoustic source excitation simulates the noise emitted from inside the sewing machine housing. Based on the mechanical excitation and the acoustic source excitation, the acoustic power of the noise reaching the field point grid after passing through the acoustic-vibration coupling interface is calculated. Based on the mechanical excitation, the contribution of the sewing machine housing to the noise under multiple preset vibration modes is obtained. The evaluation module is used to analyze the noise evaluation of the sewing machine casing based on the sound power of the field grid and the contribution of the sewing machine casing to the noise under each preset vibration mode.

[0021] Thirdly, embodiments of the present invention provide an electronic device, including a processor and a memory, wherein the memory stores a computer program executable by the processor, and the processor can execute the computer program to implement the radiated noise analysis method as described in the first aspect.

[0022] Fourthly, embodiments of the present invention provide a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the radiated noise analysis method as described in the first aspect.

[0023] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0024] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0025] Figure 1 A flowchart of a radiated noise analysis method provided in an embodiment of the present invention; Figure 2 A schematic diagram of a three-dimensional model of a sewing machine casing provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of the field point mesh model setting provided in an embodiment of the present invention; Figure 4 The field point grid acoustic power curve provided in the embodiment of the present invention; Figure 5 A bar chart showing the noise contribution of a sewing machine casing provided in an embodiment of the present invention; Figure 6 A schematic diagram of the casing noise surface provided in an embodiment of the present invention; Figure 7 A graph showing the noise contribution of each noise surface of the casing provided in an embodiment of the present invention; Figure 8 This is a mode shape diagram corresponding to one of the multiple preset vibration frequencies provided in the embodiments of the present invention; Figure 9 This is a schematic diagram of the functional modules of the radiation noise analysis system provided in an embodiment of the present invention; Figure 10 A block diagram of an electronic device provided in an embodiment of the present invention.

[0026] Icons: 1000 - Radiated Noise Analysis System; 1100 - Building Block; 1200 - Processing Module; 1300 - Evaluation Module; 2000 - Electronic Equipment; 2100 - Processor; 2200 - Memory; 2300 - Bus; 2400 - Communication Interface. Detailed Implementation

[0027] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0028] Therefore, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the invention without inventive effort are within the scope of protection of the invention.

[0029] It should be noted that relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0030] As described in the background section, since the sewing machine casing is the largest external structural component and located at the end of the main vibration transmission path, the typical approach is to perform finite element modal analysis on the casing to obtain its natural frequencies and mode shapes, and then combine this with static or quasi-static stiffness evaluation to predict the casing's vibration resistance. However, such methods only reflect the structure's own dynamic characteristics and cannot directly quantify the sound power level radiated by the casing under actual operating conditions. In particular, they cannot accurately predict the noise response at the operator's ear position, leading to significant uncertainty and risk of misjudgment in the analysis and evaluation of casing noise.

[0031] Therefore, this invention provides a radiated noise analysis method. Using a sound-vibration coupling interface obtained through a structural mesh, an acoustic mesh, and a field point mesh, sound waves are transmitted to the field point mesh under applied mechanical and sound source excitation. This allows for the evaluation of the noise intensity of the sewing machine casing at the operator's ear based on the sound power received by the field point mesh and the noise frequency of the casing vibration. This accurately predicts the noise response at the operator's ear position, improving the accuracy of the analysis and evaluation of the sewing machine casing and reducing the risk of misjudgment. (See also...) Figure 1 , Figure 1 This is a flowchart of a radiated noise analysis method provided in an embodiment of the present invention. The radiated noise analysis method includes steps S100 to S600: S100. Based on the acquired 3D model of the sewing machine casing, generate the overall 3D structural mesh and surface 2D acoustic mesh of the sewing machine casing, and establish a field point mesh for receiving noise, which represents the position of the operator's ear.

[0032] In this embodiment, before conducting the radiated noise analysis of the sewing machine casing, it is first necessary to obtain a complete CAD 3D model of the sewing machine casing, such as... Figure 2 As shown, Figure 2 This is a schematic diagram of a three-dimensional model of a sewing machine casing provided in an embodiment of the present invention. The CAD three-dimensional model of the casing originates from the digital modeling results of the product design stage and includes the actual geometric shape and assembly relationship of the casing. To ensure the accuracy of subsequent simulation calculations, the original model must be preprocessed to remove small holes with a diameter of less than 3 mm (such as process positioning holes or drainage holes). These details have minimal impact on the overall vibration response but significantly increase the number of meshes and the complexity of the solution. Simultaneously, the model is checked for broken surfaces, voids, or non-closed areas to ensure it is a complete entity and avoid mesh generation failure due to topological defects. After cleaning, the casing is meshed using finite element software to form an overall three-dimensional structural mesh composed of tetrahedral elements, used to simulate material distribution and mechanical behavior. At the same time, the surface discretization strategy required by the boundary element method is adopted to divide the outer surface of the casing into a two-dimensional acoustic mesh composed of triangular elements, with a mesh size set to 50 mm to balance computational efficiency and acoustic accuracy. Furthermore, a virtual microphone monitoring point, i.e., a field point mesh, is set at approximately 45° and 45 cm in front of the casing. Figure 3 As shown, Figure 3 This is a schematic diagram of the field point grid model provided in an embodiment of the present invention, used to simulate the spatial position of the human ear during actual operation. This arrangement conforms to the ergonomic requirements for noise measurement, enabling the simulation results to more realistically reflect the subjective listening experience.

[0033] S200, based on the overall three-dimensional structural mesh, the surface two-dimensional acoustic mesh and the field point mesh, constructs an acoustic-vibration coupling interface.

[0034] In this embodiment, the data integration capabilities of the simulation platform are used to spatially align and bind the overall three-dimensional structural mesh from the structural dynamics sub-sub ...

[0035] S300: Apply mechanical and acoustic excitation to the sewing machine housing. The mechanical excitation simulates the load force on the sewing machine housing, and the acoustic excitation simulates the noise emitted from inside the sewing machine housing.

[0036] In this embodiment, to realistically reproduce the composite noise sources of a sewing machine operating at high speed, two main propagation paths must be considered simultaneously: one is the mechanical vibration transmitted to the machine housing through the bearing housing, and the other is the airborne noise generated by the motor itself. The mechanical excitation originates from the bearing housing load force extracted from multibody dynamics simulation, including the periodic impact caused by the motor's drive torque and the dynamic components generated by the unbalanced inertial forces of various rotating parts. These force signals are typically concentrated in the 200Hz to 600Hz frequency band, corresponding to the main operating frequency range of the entire machine. This load is precisely applied to the mounting interface at the bottom of the machine housing, causing the drive structure to vibrate under forced conditions. The other type of excitation represents the direct sound source along the air path. In this embodiment, an equivalent monopole sound source is placed in the rear cavity of the machine housing to simulate the electromagnetic whine or airflow noise of the motor. This sound source radiates spherical waves to the surrounding medium at a specific frequency and amplitude, participating in far-field sound pressure superposition. Figure 3 As shown, the mechanical excitation is the load force applied at the front bearing housing position extracted by dynamics, and the acoustic source excitation is a monopole acoustic source. This dual excitation mechanism breaks through the limitations of the traditional method that relies solely on structural vibration input, and realizes parallel modeling of structural paths and air paths, which greatly improves the authenticity and comprehensiveness of the overall noise prediction, and is especially suitable for evaluating the comprehensive NVH performance under high speed conditions.

[0037] S400: The acoustic power of the noise reaching the field point grid after passing through the acoustic-vibration coupling interface is obtained by solving the mechanical excitation and acoustic source excitation.

[0038] In this embodiment, after all excitation conditions are set, the boundary element method (BEM) solver is started to execute the indirect acoustic-vibration coupling algorithm. The BEM algorithm constructs boundary integral equations based on Green's function, combining the vibration velocity field input from the structural side with the monopole sound source term to solve for the sound pressure distribution across the entire acoustic boundary. Since BEM is used, only the surface two-dimensional acoustic mesh needs to be processed to complete the sound field calculation, eliminating the need for volume meshing of the entire air domain, significantly reducing the number of degrees of freedom and improving computational efficiency by more than 30% compared to the traditional FEM. As the frequency scan progresses gradually within the 0-1000 Hz range, the program calculates the sound energy excited by the acoustic-vibration coupling interface and propagating outwards point by point, and determines the sound pressure response at the location of the field point mesh using far-field extrapolation technology. Finally, the results from each frequency point are integrated to obtain the total sound power output at that location, expressed in dB(A), which serves as the core indicator for evaluating the overall external radiated noise level of the machine. This value not only reflects noise intensity but also incorporates human auditory perception characteristics, more accurately reflecting the operator's actual auditory experience.

[0039] S500: The contribution of the sewing machine casing to noise under multiple preset vibration modes is obtained based on mechanical excitation.

[0040] In this embodiment, to further reveal the intrinsic mechanism of noise generation, it is necessary to trace its underlying structural dynamics. Therefore, the first six low-order modal information, including the natural frequencies and mode shapes corresponding to each order, were extracted during the modal analysis stage. For example, the first mode might exhibit vertical bending at the top with a frequency of 180Hz; the second might show sidewall swaying with a frequency of 210Hz. In this step, multi-mode participation factor decomposition technology is used to evaluate the activation degree of each mode under external excitation and further calculate its relative contribution to the final field point grid acoustic power. For example, in a simulation, the 210Hz and 260Hz modes were found to contribute the most, accounting for 35% and 28% of the total noise energy, respectively, indicating that structural resonance at these two frequencies is the main cause of high-frequency noise. By tracing these key modes, insights beyond appearances can be gained to understand why certain design schemes are more prone to causing harsh sounds, thus providing clear directional guidance for structural optimization.

[0041] S600. Based on the sound power of the field grid and the contribution of the sewing machine casing to the noise under each preset vibration mode, the noise evaluation of the sewing machine casing is obtained.

[0042] In this embodiment, the noise performance of the chassis can be evaluated from two aspects. On the one hand, based on whether the total sound power at the field grid is lower than the target threshold set by the company (e.g., 72 dB(A)), it is determined whether the design meets the basic NVH requirements. On the other hand, by combining the contribution ranking of each mode, it is analyzed whether the main cause of the noise is broadband background noise or concentrated in a few discrete frequency peaks. If a significant sound pressure peak is found in a certain frequency band and a certain low-stiffness mode is highly involved, it indicates that there is a local weak link in the structure. This dual evaluation mechanism that integrates global indicators and local attribution makes the noise evaluation no longer stop at the level of whether it is qualified, but delves into the technical depth of why it is unqualified and how to improve it. For example, if the results show that the noise in the 200-300Hz frequency band is high and mainly comes from the top panel, it suggests that the stiffness design of this area should be strengthened, which greatly enhances the guiding value of the simulation.

[0043] In some embodiments, for step S100, one possible implementation of the present invention is that step S100 includes sub-steps S101~S102: S101. Generate the overall three-dimensional structural mesh of the sewing machine casing based on the obtained three-dimensional model of the sewing machine casing.

[0044] In this embodiment, high-fidelity finite element method (FEM) meshing technology is employed to transform the solidified CAD model of the casing into a unified three-dimensional structural mesh composed of densely stacked tetrahedral elements. Each element carries material property information, accurately reflecting the density and elastic modulus distribution of the aluminum alloy or cast iron material. The meshing process follows engineering simulation standards, ensuring sufficient resolution in critical areas such as the roots of reinforcing ribs and bearing mounting seats, where stress concentrations are concentrated. For flat structures far from sensitive areas, the element density is appropriately relaxed, balancing computational efficiency and accuracy. The unified three-dimensional structural mesh not only serves as the carrier for subsequent modal analysis but also becomes the mechanical framework connecting external loads and internal responses, supporting the digital reproduction of the entire vibration propagation chain. For example, the unified three-dimensional structural mesh is used to capture the periodic impact response transmitted from the barbed wire mechanism, ensuring the integrity of the vibration path modeling.

[0045] S102. Generate a two-dimensional acoustic mesh for the surface of the sewing machine casing based on the overall three-dimensional structural mesh.

[0046] In this embodiment, considering the stringent requirements of acoustic computation for surface continuity and topological integrity, the outer surface nodes and element sets are extracted from the completed overall 3D structural mesh and converted into a 2D discrete format suitable for the boundary element method (BEM). Since BEM only needs to process the boundary rather than the entire spatial domain, there is no need to reconstruct the volumetric mesh, significantly reducing the data size. The generated surface 2D acoustic mesh inherits the geometric characteristics of the original structural mesh, but is specifically optimized in terms of element quality, eliminating elongated triangles or distorted patches, and ensuring normal consistency and interpolation stability. The overall 3D structural mesh, as the mathematical expression of the acoustic radiation boundary, undertakes the important task of mapping structural vibration velocities to acoustic boundary conditions, serving as a bridge connecting mechanical motion and sound wave emission. For example, in... Figure 3 In the field point grid model shown, this grid, together with the microphone field point grid at the standard point position, constitutes the start and end points of the sound propagation path.

[0047] In some embodiments, for step S200, one possible implementation of the present invention is that step S200 includes sub-steps S201~S202: S201. Generate assembly mesh based on overall three-dimensional structural mesh, surface two-dimensional acoustic mesh and field point mesh.

[0048] In this embodiment, to achieve cross-physics field co-simulation, the dispersed mesh components need to be integrated into a unified data structure. Through the assembly function module in the simulation environment, the overall 3D structural mesh, the surface 2D acoustic mesh, and the field point mesh are incorporated into the same coordinate framework, undergoing rigorous geometric alignment and topological association. During this process, the software automatically identifies the overlapping areas of the structural and acoustic surfaces, establishes node mapping relationships, and ensures that the two sets of meshes are completely matched in space. The resulting assembly mesh, as an integrated analysis model, retains the integrity of the structural dynamics while embedding the spatial relationships required for acoustic solving, becoming the object of subsequent coupling settings and supporting the implementation of complex interactive logic.

[0049] S202. Construct an acoustic-vibration coupling interface between a surface two-dimensional acoustic mesh and an overall three-dimensional structural mesh based on an assembly mesh.

[0050] In this embodiment, based on the assembly mesh, the interaction region between physical fields is further defined. Therefore, based on surface conformality, the shared boundary between the surface 2D acoustic mesh and the overall 3D structural mesh is automatically identified and marked as the acoustic-vibration coupling interface. The acoustic-vibration coupling interface is not a simple geometric overlap, but an interactive layer endowed with physical meaning. It stipulates that the normal acceleration on the structural side will serve as the velocity excitation input to the acoustic boundary, thereby triggering the solution process of the boundary integral equation. Through this mechanism, the structural vibration energy can radiate outward according to acoustic laws, forming a realistic sound propagation effect, thus closing the entire simulation chain. For example, in... Figure 3 In the field mesh model shown, the acoustic-vibration coupling interface covers multiple areas such as the front, back, and top of the casing, ensuring that all potential radiation surfaces are included in the analysis.

[0051] In some embodiments, for step S400, one possible implementation of the present invention is that step S400 includes sub-steps S401~S402: S401. Based on the field point grid, obtain the mechanical noise transmitted from the acoustic-vibration coupling interface by mechanical excitation and the sound source noise transmitted from the acoustic-vibration coupling interface by sound source excitation.

[0052] In this embodiment, the acoustic responses generated by the two excitation paths are tracked separately during the coupled solution process. For structural vibrations induced by bearing housing loads, the noise excited and radiated through the acoustic-vibration coupling interface is identified as mechanical noise; while for the built-in monopole sound source, the sound field excited at the same interface is classified as source noise. Although these two signals are superimposed on the same acoustic mesh, they can be independently extracted in the post-processing stage using excitation source separation technology, facilitating separate analysis of their respective contributions to the total noise. For example, in a simulation, mechanical noise was found to contribute 65%, while source noise contributed 35%, indicating that the structural transmission path is still the dominant factor, and the casing stiffness design should be optimized first. This ability to differentiate helps identify the main noise path and determine whether structural transmission should be optimized first or source noise should be suppressed.

[0053] S402. The acoustic power of the field point grid is obtained by solving the acoustic-vibration coupling based on the mechanical noise and the sound source noise.

[0054] In this embodiment, based on a clear understanding of the responses of the two noise sources, a final synthesis solution is performed. Using the principle of linear superposition, the mechanical noise and the source noise are vector-added in the frequency domain to obtain the total sound pressure response curve at the field grid. This curve is then integrated to convert it into an A-weighted total sound power output, reflecting the overall loudness perceived subjectively by the human ear. This result not only reflects noise intensity but also includes frequency distribution characteristics, which can be used to determine the presence of unpleasantly sharp tones, thus more closely reflecting the auditory experience in real-world usage scenarios. For example... Figure 4 As shown, Figure 4 The field point grid acoustic power curve provided in the embodiment of the present invention is shown in... Figure 4 In the acoustic result curves shown, a significant peak appeared in the 200-300Hz frequency band before optimization, and the peak decreased by 2-3 dB(A) after optimization, indicating that the improvement measures were effective.

[0055] In some embodiments, noise evaluation includes noise pass and noise fail. For step S600, one possible implementation of this embodiment includes sub-steps S601-S604: S601. Based on the contribution of the sewing machine casing to the noise under each preset vibration mode, determine the vibration frequency with the largest contribution.

[0056] In this embodiment, after completing the modal contribution analysis, the mode with the most significant impact on the overall noise is automatically selected, i.e., its corresponding natural frequency is identified as the vibration frequency with the largest contribution. For example... Figure 5 As shown, Figure 5 This is a bar chart showing the noise contribution of the sewing machine casing provided in an embodiment of the present invention. Figure 5 The structural modal contribution histogram shows that the modal contributions at 210Hz and 260Hz are the most prominent, indicating that structural resonance at these two frequencies is the main cause of high-frequency noise. This frequency often closely matches the peak position in the measured noise spectrum, exhibiting a clear engineering orientation. Once this frequency is identified, the modal data from the modal analysis stage can be traced back to further study its deformation characteristics, identify the structural region with the highest participation, and provide a direct basis for subsequent targeted reinforcement or frequency avoidance design.

[0057] S602. Determine the noise intensity corresponding to the acoustic power of the field point grid based on the vibration frequency with the largest contribution.

[0058] In this embodiment, focusing on the identified vibration frequency with the largest contribution, the sound pressure response values ​​of the field point grid within a narrow band near this frequency are extracted and converted into the corresponding noise intensity level. This helps to focus on the problem frequency band and avoid interference from other irrelevant frequencies. If a significant sound pressure spike occurs in this frequency band, it indicates that the structure is experiencing resonance amplification at this frequency, leading to a sharp increase in local noise. For example, if the sound pressure level reaches 78 dB(A) in the 200-300Hz frequency band, significantly higher than the average level of other frequency bands, it indicates a significant resonance risk in this area. This intensity value will become the core comparative parameter for evaluating the effect before and after rectification.

[0059] S603. If the noise intensity is greater than or equal to a preset threshold, the noise of the sewing machine casing is determined to be unqualified.

[0060] In this embodiment, a noise limit, pre-verified through experiments or industry standards, is set as the judgment benchmark. For example, an internal company regulation stipulates that the sound power at a 45° field point grid must not exceed 72 dB(A). When the noise intensity at the field point grid obtained from simulation reaches or exceeds this threshold, the current housing design is deemed to have failed to meet NVH performance requirements. This quantitative criterion replaces the previous vague judgments based on experience, improving the scientific rigor and consistency of R&D decisions. For example, in the development of a certain flatbed sewing machine, the initial design measured a peak value of 75.2 dB(A), which was deemed unqualified and required optimization.

[0061] S604. When the noise intensity is less than the preset threshold, the noise of the sewing machine casing is determined to be qualified.

[0062] In this embodiment, conversely, if the vibration frequency contributing the most to the noise and the overall noise intensity within the frequency band are both below the set threshold, it indicates that the casing has good noise control capabilities and can provide a quiet operating environment for users in practical applications. At this point, the solution can be considered to have passed simulation verification and is feasible for production, requiring no further structural modifications. For example, after optimizing the top reinforcing ribs, a re-simulation shows that the maximum sound pressure level drops to 70.1 dB(A), below the target threshold, meeting the development requirements, and the process can proceed to the prototype manufacturing stage.

[0063] In some embodiments, for step S600, one possible implementation of the present invention is that step S600 includes sub-steps S605~S608: S605. Divide the two-dimensional acoustic mesh of the surface into multiple noise surfaces.

[0064] In this embodiment, to further refine the noise source tracing capability, the originally uniform two-dimensional acoustic mesh is geometrically decomposed into several independent functional regions, such as the front surface, rear surface, top surface, and rear end surface of the casing. Each region participates in subsequent analysis as an independent noise surface, allowing for separate calculation of its radiated energy percentage. For example... Figure 6 As shown, Figure 6 This is a schematic diagram of the casing noise surface provided in an embodiment of the present invention. The noise surface is also called the panel surface. Figure 6 In the Panel definition shown, the four main radiating surfaces are named and assigned values ​​to support subsequent visualization of contribution.

[0065] S606. The contribution of each noise surface to the noise is obtained by solving the mechanical excitation and the sound source excitation.

[0066] In this embodiment, after the region division is completed, the contribution analysis process is rerun to calculate the proportion of each noise surface in the total sound power. This process is based on a weighted average of the mean square value of vibration velocity and sound radiation efficiency on each surface, which can objectively reflect the acoustic activity level of different parts. For example, in a simulation, it was found that the top of the casing contributed as much as 42%, followed by the rear at 18%, indicating that the top is the main noise emission area and deserves priority optimization. Figure 7 As shown, Figure 7 The curves showing the noise contribution of each noise surface of the casing provided in the embodiments of the present invention can be used to illustrate this. Figure 7 The noise contribution curve shown is presented intuitively to facilitate quick identification of key areas with relatively high noise levels on the casing surface.

[0067] S607. Based on the vibration frequency with the largest contribution, determine the noise surface with the largest contribution from the contribution of each noise surface to the noise.

[0068] In this embodiment, the system identifies the noise-generating surface with the most significant radiation contribution at the vibration frequency with the highest contribution. For example, if the vibration frequency with the highest contribution is 210Hz, and the noise contribution rate of the top of the casing reaches 48% at this frequency, far exceeding that of other areas, then this panel can be determined as the main source of noise in this frequency band. This cross-matching method can accurately pinpoint the noisiest part at the most critical moment, avoiding the misleading optimization direction caused by generalized average contributions.

[0069] S608. Optimize the noise surface that contributes the most to obtain a qualified sewing machine casing.

[0070] In this embodiment, structural improvement measures are taken for the panel area identified as the main noise source. These measures include adding reinforcing ribs, locally thickening the area, changing the curvature, or introducing damping patches to improve stiffness or damping characteristics and suppress vibration amplitude. The optimized structure is then re-imported into the simulation process for rapid iterative verification of the effect until the noise level drops below the threshold, ultimately obtaining a qualified housing design that meets NVH requirements. For example, in the development of a certain model of flat sewing machine, adding X-shaped reinforcing ribs to the top area successfully reduced noise in the 200-300Hz frequency band by 2.5 dB(A), achieving the expected goal.

[0071] In some embodiments, for step S608, one possible implementation of the present invention is that step S608 includes sub-steps S6081~S6083: S6081. Simulation analysis of the overall three-dimensional structure mesh is performed to obtain the vibration mode diagrams of the sewing machine casing under multiple preset vibration modes. The darker the color in the vibration mode diagram, the more intense the vibration.

[0072] In this embodiment, a thorough understanding of the structure's dynamic behavior is necessary before conducting specific optimizations. Modal simulation outputs mode shapes under vibration modes. These mode shapes use gradient colors to display the displacement amplitude in different regions, with darker colors representing more intense vibrations. For example... Figure 8 , Figure 8 The mode shape diagram corresponding to one of the multiple preset vibration frequencies provided in the embodiments of the present invention can be understood to be... Figure 8 In the first six modal frequency distributions and mode shape diagrams shown, the dark areas are concentrated in the top center and the transition zone of the side walls, indicating that these locations are less stiff and prone to large vibrations under excitation. These images visually reveal the deformation modes of the structure at specific frequencies, helping to identify potential weak points, and are particularly useful for explaining why a certain panel might become a major noise emission source.

[0073] S6082. Determine the region of severe vibration based on the color intensity of the noise surface with the largest contribution in the mode shape diagram.

[0074] In this embodiment, the high-contribution noise surfaces identified above are compared with their appearance in the mode shape diagrams corresponding to the vibration frequencies. Special attention is paid to the darkest sub-regions within the mode shape diagrams; these locations are where vibration energy is concentrated and released, and are also the sources of the strongest sound radiation. For example, if the top of the casing shows a large area of ​​dark blue in the mode shape diagram at 210Hz, it indicates that the plate at that location is too thin or insufficiently supported, making it prone to large bending vibrations. Combined with... Figure 5 and Figure 7 The results clearly show that the top region is both the main contributing surface and the part with the strongest modal response, and therefore should be the primary optimization target.

[0075] S6083. Optimize areas with severe vibration to obtain a qualified sewing machine casing.

[0076] In this embodiment, the final step involves specific structural modification operations, implementing enhanced designs for the high-amplitude regions identified in the mode shape diagram, such as adding longitudinal stiffeners, changing the cross-sectional shape, or adjusting connection stiffness. Each modification can be quickly updated through parametric modeling to update the overall 3D structural mesh and simultaneously refresh all subsequent simulation results, forming an efficient closed loop. After several iterations, if the simulation shows a significant decrease in acoustic power at the field point mesh and that various contribution indicators tend to be balanced, it can be confirmed that a new casing structure with satisfactory performance has been obtained. For example, in Figure 4 The optimization results shown indicate that the peak noise was reduced by 2-3 dB(A), which meets the development goals and requires no further modification. This signifies that the scheme has successfully completed the entire process from analysis to optimization.

[0077] Based on the above method, embodiments of the present invention also provide a system corresponding to the above method, such as... Figure 9 As shown, Figure 9 This is a schematic diagram of the functional modules of the radiated noise analysis system provided in this embodiment of the invention. It should be noted that the radiated noise analysis system 1000 provided in this embodiment has the same basic principle and technical effects as the method embodiment described above. For the sake of brevity, parts not mentioned in this embodiment can be referred to the corresponding content in the method embodiment.

[0078] In this embodiment, the radiated noise analysis system 1000 includes a construction module 1100, a processing module 1200, and an evaluation module 1300. The construction module 1100 is used to generate an overall three-dimensional structural mesh and a surface two-dimensional acoustic mesh for the sewing machine casing based on the acquired three-dimensional model of the sewing machine casing, and to establish a field point mesh for receiving noise, where the field point mesh represents the position of the operator's ear; it is also used to construct an acoustic-vibration coupling interface based on the overall three-dimensional structural mesh, the surface two-dimensional acoustic mesh, and the field point mesh. It can be understood that the construction module 1100 is used to perform the above steps S100~S200.

[0079] The processing module 1200 is used to apply mechanical excitation and acoustic source excitation to the sewing machine housing. The mechanical excitation simulates the load force on the sewing machine housing, and the acoustic source excitation simulates the noise emitted inside the sewing machine housing. Based on the mechanical and acoustic excitations, the acoustic power of the noise reaching the field point grid after passing through the acoustic-vibration coupling interface is calculated. Based on the mechanical excitation, the contribution of the sewing machine housing to the noise under multiple preset vibration modes is obtained. It can be understood that the processing module 1200 is used to execute the above steps S300~S500.

[0080] The evaluation module 1300 is used to analyze the noise evaluation of the sewing machine casing based on the sound power of the field grid and the contribution of the sewing machine casing to the noise under each preset vibration mode. It can be understood that the evaluation module 1300 is used to perform the above step S600.

[0081] In some embodiments, the construction module 1100 is used to generate an overall three-dimensional structural mesh of the sewing machine housing based on the acquired three-dimensional model of the sewing machine housing; and to generate a surface two-dimensional acoustic mesh of the sewing machine housing based on the overall three-dimensional structural mesh. It can be understood that the construction module 1100 is used to perform the above steps S101~S102.

[0082] In some embodiments, the construction module 1100 is used to generate an assembly mesh based on an overall three-dimensional structural mesh, a surface two-dimensional acoustic mesh, and a field point mesh; and to construct an acoustic-vibration coupling interface between the surface two-dimensional acoustic mesh and the overall three-dimensional structural mesh based on the assembly mesh. It can be understood that the construction module 1100 is used to perform the above steps S201~S202.

[0083] In some embodiments, the processing module 1200 is used to obtain the mechanical noise transmitted from the acoustic-vibration coupling interface by the mechanical excitation and the sound source noise transmitted from the acoustic-vibration coupling interface by the sound source excitation based on the field point grid; and to obtain the sound power of the field point grid by performing acoustic-vibration coupling solution based on the mechanical noise and the sound source noise. It can be understood that the processing module 1200 is used to perform the above steps S401~S402.

[0084] In some embodiments, noise evaluation includes noise compliance and noise non-compliance. Evaluation module 1300 is used to determine the vibration frequency with the largest contribution to noise based on the contribution of the sewing machine casing to noise under each preset vibration mode; to determine the noise intensity corresponding to the sound power of the exit point grid based on the vibration frequency with the largest contribution; to determine that the sewing machine casing noise is non-compliant if the noise intensity is greater than or equal to a preset threshold; and to determine that the sewing machine casing noise is compliant if the noise intensity is less than the preset threshold. It can be understood that evaluation module 1300 is used to perform the above steps S601~S604.

[0085] In some embodiments, the evaluation module 1300 is used to divide the two-dimensional acoustic mesh of the surface into multiple noise surfaces; to obtain the noise contribution of each noise surface based on the mechanical excitation and the sound source excitation; to determine the noise surface with the largest contribution from the noise contributions of each noise surface based on the vibration frequency with the largest contribution; and to optimize the noise surface with the largest contribution to obtain a qualified sewing machine housing. It can be understood that the evaluation module 1300 is used to perform the above steps S605~S608.

[0086] In some embodiments, the evaluation module 1300 is used to perform simulation analysis on the overall three-dimensional structural mesh to obtain the mode shapes of the sewing machine casing under multiple preset vibration modes. Darker colors in the mode shapes indicate more severe vibration. The region with the greatest noise contribution is identified based on the color intensity of the noise surface in the mode shapes. The region with severe vibration is then optimized to obtain a qualified sewing machine casing. It can be understood that the evaluation module 1300 is used to perform the above steps S6081~S6083.

[0087] Based on the same inventive concept disclosed above, the present invention also provides a block diagram of an electronic device 2000 performing the above method. Please refer to... Figure 10 , Figure 10 This is a block diagram of an electronic device provided in an embodiment of the present invention. The electronic device 2000 includes a processor 2100, a memory 2200, a bus 2300, and a communication interface 2400. The processor 2100 and the memory 2200 are connected via the bus 2300, and the processor 2100 communicates with external devices via the communication interface 2400.

[0088] Processor 2100 may be an integrated circuit chip with signal processing capabilities. In implementation, each step of the above method can be completed through integrated logic circuits in the hardware of processor 2100 or through software instructions. The processor 2100 may be a general-purpose processor 2100, including a central processing unit (CPU), a network processor (NP), etc.; it may also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), an off-the-shelf programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0089] The memory 2200 is used to store computer programs. For example, the radiated noise analysis system 1000 in this embodiment of the invention includes at least one software function module that can be stored in the memory 2200 in the form of software or firmware. After receiving the execution instruction, the processor 2100 executes the program to implement the radiated noise analysis method in this embodiment of the invention.

[0090] The memory 2200 may include high-speed random access memory (RAM) or non-volatile memory. Optionally, the memory 2200 may be a storage device built into the processor 2100 or a storage device independent of the processor 2100.

[0091] Bus 2300 can be ISA bus 2300, PCI bus 2300 or EISA bus 2300, etc. Figure 10 It is indicated by only one double-headed arrow, but does not mean that there is only one bus 2300 or one type of bus 2300.

[0092] Electronic devices 2000 can be mobile phones, tablets, laptops, desktop computers, and other computer devices.

[0093] Based on the same inventive concept, embodiments of the present invention also provide a computer-readable storage medium storing a computer program thereon, which, when executed by processor 2100, implements the radiated noise analysis method as described above. This computer-readable storage medium may include various media capable of storing program code, such as a USB flash drive, a portable hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0094] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method of analyzing radiation noise, characterized by, The method comprises: generating a whole three-dimensional structure grid and a surface two-dimensional acoustic grid of the sewing machine cabinet based on the obtained three-dimensional model of the sewing machine cabinet, and establishing a field point grid receiving noise, the field point grid representing the position of the operator's ear; constructing a vibro-acoustic coupling interface based on the whole three-dimensional structure grid, the surface two-dimensional acoustic grid and the field point grid; applying mechanical excitation and sound source excitation to the sewing machine cabinet, the mechanical excitation simulating the load force received by the sewing machine cabinet, and the sound source excitation simulating the noise emitted inside the sewing machine cabinet; solving the sound power of noise reaching the field point grid via the vibro-acoustic coupling interface according to the mechanical excitation and the sound source excitation; obtaining the contribution of the sewing machine cabinet to noise under a plurality of preset vibration modes according to the mechanical excitation; analyzing the noise evaluation of the sewing machine cabinet according to the sound power of the field point grid and the contribution of the sewing machine cabinet to noise under each preset vibration mode.

2. The method of claim 1, wherein, The method comprises: obtaining mechanical noise of the mechanical excitation and sound source noise of the sound source excitation from the vibro-acoustic coupling interface based on the field point grid; solving the sound power of the field point grid according to the mechanical noise and the sound source noise.

3. The method of claim 1, wherein, The noise evaluation comprises noise qualified and noise unqualified, and the method comprises: determining the vibration frequency with the largest contribution based on the contribution of the sewing machine cabinet to noise under each preset vibration mode; determining the noise intensity corresponding to the sound power of the field point grid based on the vibration frequency with the largest contribution; determining that the noise of the sewing machine cabinet is unqualified when the noise intensity is greater than or equal to a preset threshold; determining that the noise of the sewing machine cabinet is qualified when the noise intensity is less than the preset threshold.

4. The method of claim 3, wherein, After determining that the noise of the sewing machine cabinet is unqualified when the noise intensity is greater than or equal to a preset threshold, the method comprises: dividing the surface two-dimensional acoustic grid into a plurality of noise surfaces; solving the contribution of each noise surface to noise according to the mechanical excitation and the sound source excitation; determining the noise surface with the largest contribution from the contribution of each noise surface to noise based on the vibration frequency with the largest contribution; optimizing the noise surface with the largest contribution to obtain a qualified sewing machine cabinet.

5. The method of claim 4, wherein, The optimization of the noise surface with the largest contribution to obtain a qualified sewing machine cabinet comprises: performing simulation analysis on the whole three-dimensional structure grid to obtain a vibration mode diagram of the sewing machine cabinet under a plurality of preset vibration modes, wherein the darker the color in the vibration mode diagram, the more intense the vibration; determining the region with intense vibration according to the color depth of the noise surface with the largest contribution in the vibration mode diagram; The area with intense vibration is optimized to obtain a qualified sewing machine shell.

6. The method of claim 1, wherein, The generating the whole three-dimensional structure grid and the surface two-dimensional acoustic grid of the sewing machine shell based on the obtained three-dimensional model of the sewing machine shell comprises: The generating the whole three-dimensional structure grid of the sewing machine shell based on the obtained three-dimensional model of the sewing machine shell; The generating the surface two-dimensional acoustic grid of the sewing machine shell based on the whole three-dimensional structure grid.

7. The method of claim 1, wherein, The constructing the acoustic-structure coupling interface based on the whole three-dimensional structure grid, the surface two-dimensional acoustic grid and the field point grid comprises: The generating the assembly grid based on the whole three-dimensional structure grid, the surface two-dimensional acoustic grid and the field point grid; The constructing the acoustic-structure coupling interface of the surface two-dimensional acoustic grid and the whole three-dimensional structure grid based on the assembly grid.

8. A radiated noise analysis system, characterized by, The system comprises: The constructing module is configured to generate the whole three-dimensional structure grid and the surface two-dimensional acoustic grid of the sewing machine shell based on the obtained three-dimensional model of the sewing machine shell, and to establish a field point grid receiving noise, the field point grid representing the position of the operator's ear; and to construct the acoustic-structure coupling interface based on the whole three-dimensional structure grid, the surface two-dimensional acoustic grid and the field point grid; The processing module is configured to apply mechanical excitation and sound source excitation to the sewing machine shell, the mechanical excitation simulating the load force received by the sewing machine shell, and the sound source excitation simulating the noise emitted inside the sewing machine shell; to solve the acoustic power of noise reaching the field point grid via the acoustic-structure coupling interface according to the mechanical excitation and the sound source excitation; and to obtain the contribution of the sewing machine shell to noise under a plurality of preset vibration modes according to the mechanical excitation; The evaluation module is configured to analyze the noise evaluation of the sewing machine shell according to the acoustic power of the field point grid and the contribution of the sewing machine shell to noise under each of the preset vibration modes.

9. An electronic device, comprising: The computer program is stored in the memory and can be executed by the processor to implement the radiation noise analysis method of any one of claims 1-7.

10. A computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to implement the radiation noise analysis method of any one of claims 1-7. The computer program is executed by the processor to implement the radiation noise analysis method of any one of claims 1-7.

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