Sheet metal structure radiation noise optimization method, computer device and storage medium

Abstract

The invention provides a sheet metal structure radiation noise optimization method, a computer device and a storage medium, and the method comprises the steps: building an acoustic model of a target sheet metal structure, carrying out the simulation analysis of the radiation noise of the target sheet metal structure, and taking a plate of which the acoustic contribution proportion is greater than a first threshold value as a target optimization plate; obtaining the modal contribution of each modal to acoustics under the peak frequency of the target optimization plate, superposing the modal contribution proportions from high to low to obtain the sum of the modal contribution proportions, and forming a modal shape variable group by all the modals when the sum of the modal contribution proportions is greater than or equal to a second threshold value; according to the modal shape variable group, determining a structural shape parameterized model of the target optimization plate by taking the participation factor of each modal shape as a design variable; and selecting a modification area of the target optimization plate, and performing structure optimization by using a preset algorithm to obtain a final optimization structure of the target optimization plate. According to the invention, the noise optimization effect and optimization efficiency of the sheet metal structure can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of air-conditioning sheet metal structure design, and specifically, to a sheet metal structure radiation noise optimization method, a computer device applying the sheet metal structure radiation noise optimization method, and a computer-readable storage medium applying the sheet metal structure radiation noise optimization method. Background Art

[0002] For air-conditioning products, outdoor unit vibration noise is an important factor affecting product reliability and comfort, and is also a core issue that consumers pay attention to when purchasing products. The main vibration noise excitation source of the outdoor unit is the compressor. The pipeline system can be regarded as the transmission path of the vibration source. The sheet metal structure is the vibration noise response end. Generally, the noise caused by sheet metal vibration has a high probability and accounts for a high proportion in the outdoor unit noise problem. In addition, low-frequency noise caused by sheet metal vibration is the most common. The noise in this frequency band decays slowly in the air, is difficult to be absorbed by objects, propagates far, and can even pass through walls into the room, making it difficult to control. Therefore, the reasonable design of the sheet metal structure of the outdoor unit and the optimization method of radiated noise are particularly important.

[0003] An existing design method based on sheet metal structure is: to analyze the acoustic contribution of panels to determine the structural panels that have the greatest impact on noise, so as to achieve targeted structural optimization; the analysis method based on the contribution of panels can effectively find the structural components that contribute most to the noise transmission path, so as to effectively optimize the structure at key positions, and improve the vibration characteristics of the panels by optimizing the thickness of the panels and reasonably arranging the reinforcing ribs, thereby reducing the vibration amplitude and improving the acoustic comfort. The optimization method of this invention is to increase the strength of the sheet metal structure to be optimized, but the optimization goal is single, the result after optimization is unknown, and repeated experiments are still required for verification, the optimization effect is poor, and the efficiency is low.

[0004] Therefore, a more optimized radiation noise optimization method needs to be considered. Summary of the invention

[0005] A first object of the present invention is to provide a method for optimizing the radiated noise of a sheet metal structure, which can improve the noise optimization effect and optimization efficiency of the sheet metal structure.

[0006] A second object of the present invention is to provide a computer device that can improve the noise optimization effect and optimization efficiency of sheet metal structures.

[0007] A third object of the present invention is to provide a computer-readable storage medium that can improve the noise optimization effect and optimization efficiency of a sheet metal structure.

[0008] In order to achieve the first objective of the present invention, the sheet metal structure radiation noise optimization method provided by the present invention includes: establishing an acoustic model of a target sheet metal structure, simulating and analyzing the radiation noise of the target sheet metal structure, and obtaining a radiation noise frequency response curve of the target sheet metal structure; according to the peak frequency of the radiation noise frequency response curve, obtaining the acoustic contribution of each plate of the target sheet metal structure at the peak frequency, and taking the plate whose acoustic contribution ratio is greater than a first threshold as the target optimization plate; obtaining the modal contribution of each mode to acoustics of the target optimization plate at the peak frequency, superimposing the modal contribution ratios from high to low to obtain the sum of the modal contribution ratios, and forming a modal vibration shape variable group with all modes when the sum of the modal contribution ratios is greater than or equal to the second threshold; determining a structural shape parameterized model of the target optimization plate with the participation factor of each modal vibration shape as a design variable according to the modal vibration shape variable group; selecting a modification area of ​​the target optimization plate, and performing structural optimization using a preset algorithm to obtain a final optimized structure of the target optimization plate.

[0009] It can be seen from the above scheme that the sheet metal structure radiation noise optimization method of the present invention obtains the acoustic contribution simulation result by establishing the acoustic model of the target sheet metal structure, thereby clarifying the plate causing abnormal noise in the target sheet metal structure, determining the target optimization plate that needs to be optimized for noise, and improving the optimization effect. When optimizing the target optimization plate, the structural shape function is defined by a set of linear combinations of modal vibration shapes, which can facilitate the establishment of a structural shape parameterized model of a complex structure, and can map the structural shape with fewer design variables, thereby improving the optimization efficiency.

[0010] In a further scheme, the steps of simulating and analyzing the radiation noise of the target sheet metal structure include: establishing a finite element analysis model of the target sheet metal structure, performing a dynamic analysis of the target sheet metal structure under the action of a noise excitation source, and obtaining the surface vibration velocity of the target sheet metal structure; mapping the surface vibration velocity of the target sheet metal structure to an acoustic grid as a boundary condition for acoustic excitation, and simulating and analyzing the radiation noise of the target sheet metal structure.

[0011] It can be seen that by establishing a finite element analysis model of the target sheet metal structure, the boundary conditions of the acoustic excitation for the simulation analysis of the radiation noise of the target sheet metal structure are obtained, thereby improving the accuracy of the simulation analysis.

[0012] In a further scheme, the steps of determining the target optimization plate according to the modal vibration mode variable group and taking the participation factor of each modal vibration mode as the structural shape parameterized model of the design variable include: normalizing the displacement of each order modal vibration mode in the modal vibration mode variable group to obtain the displacement vector of each order modal vibration mode; determining the structural shape parameterized model according to the displacement vector and the participation factor.

[0013] It can be seen that by obtaining the displacement vector of each modal vibration mode and determining the parameterized model of the structural shape based on the displacement vector and the participation factor, a unique structural shape can be obtained when a set of participation factors of the modal vibration modes are given. The participation factor of each modal vibration mode is used as a design variable. The design variable is related to the selected order of the modal vibration mode and has nothing to do with the complexity of the structure. It can give the optimization result more efficiently and quickly.

[0014] In a further solution, the node coordinates of the parametric model of the structural shape are expressed as follows: , where k i is the participation factor of the i-th mode shape, i ranges from 1 to m, , and are the displacement vectors in the x, y, and z directions of the i-th order mode shape, x0 and x l are the coordinate values ​​of the nodes in the x direction under the initial structure and the new structure, y0 and y l are the coordinate values ​​of the nodes in the y direction under the initial structure and the new structure, z0 and z l are the coordinate values ​​of the nodes in the z direction under the initial structure and the new structure respectively.

[0015] It can be seen that by superimposing the displacement vectors of each modal vibration type in the x, y, and z directions with the coordinates of the initial structure, the coordinates of the nodes under the new structure after changing the participation factor can be confirmed.

[0016] In a further solution, when a preset algorithm is used for structural optimization, the optimization goal is to minimize the radiation noise peak value and the radiation noise effective value of the radiation noise frequency response curve in a preset frequency band.

[0017] It can be seen that taking the minimum radiated noise peak value and the minimum radiated noise effective value of the radiated noise frequency response curve in the preset frequency band as the optimization goal can more directly improve the acoustic performance of the structure by directly optimizing the sound radiation noise result, compared with simply improving the structural stiffness.

[0018] In a further solution, when the preset algorithm is used for structural optimization, the mathematical model of structural shape optimization is as follows: ,in, is the objective function for the minimum peak value of the radiation noise of the radiation noise frequency response curve, The objective function is the minimum effective value of the radiation noise, and the fluctuation value of the node along the three directions satisfies , X, Y, and Z are the maximum fluctuation values ​​in the three directions respectively, and A is the preset maximum participation factor value.

[0019] It can be seen that in order to ensure the quality of the structural grid unit and the processability of the structure, the fluctuation value of the structural node along the three directions must be less than or equal to the maximum fluctuation value in the design specification. In order to avoid the participation factor of a single modal vibration mode being too high, resulting in poor optimization effect, the participation factor must be less than or equal to the preset maximum participation factor value.

[0020] In a further embodiment, the preset frequency range is 100 Hz to 400 Hz.

[0021] In a further embodiment, the preset algorithm is a genetic algorithm.

[0022] In order to achieve the third purpose of the present invention, the present invention provides a computer device including a processor and a memory, the memory stores a computer program, and when the computer program is executed by the processor, the steps of the above-mentioned sheet metal structure radiation noise optimization method are implemented.

[0023] In order to achieve the fourth objective of the present invention, the present invention provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a controller, the steps of the above-mentioned sheet metal structure radiation noise optimization method are implemented. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is a flow chart of an embodiment of the method for optimizing radiation noise of a sheet metal structure of the present invention.

[0025] Figure 2 It is a bar chart of the acoustic contribution of each plate of the target sheet metal structure in a specific example of the embodiment of the sheet metal structure radiation noise optimization method of the present invention.

[0026] Figure 3 It is a structural schematic diagram of a target optimized plate before optimization in a specific example in an embodiment of the sheet metal structure radiation noise optimization method of the present invention.

[0027] Figure 4 It is a schematic diagram of the structure after the target optimization plate is optimized in a specific example of the embodiment of the sheet metal structure radiation noise optimization method of the present invention.

[0028] Figure 5 It is a frequency response curve diagram of radiation noise before and after optimization of a target optimization plate in a specific example of an embodiment of the sheet metal structure radiation noise optimization method of the present invention.

[0029] The present invention is further described below in conjunction with the accompanying drawings and embodiments. DETAILED DESCRIPTION

[0030] Implementation example of a method for optimizing radiation noise of sheet metal structures: The sheet metal structure radiation noise optimization method of the present invention is a computer program applied to a computer device, and is used for optimizing the radiation noise design of the sheet metal structure of an air conditioner.

[0031] like Figure 1 As shown, in this embodiment, when the sheet metal structure radiation noise optimization method is working, step S1 is first executed to establish an acoustic model of the target sheet metal structure, perform simulation analysis on the radiation noise of the target sheet metal structure, and obtain the radiation noise frequency response curve of the target sheet metal structure. In order to facilitate the analysis of the radiation noise of the target sheet metal structure, the analysis accuracy can be improved by establishing an acoustic model of the target sheet metal structure.

[0032] In this embodiment, the step of simulating and analyzing the radiation noise of the target sheet metal structure includes: establishing a finite element analysis model of the target sheet metal structure, performing a dynamic analysis of the target sheet metal structure under the action of a noise excitation source, and obtaining the surface vibration velocity of the target sheet metal structure; mapping the surface vibration velocity of the target sheet metal structure to an acoustic grid as a boundary condition for acoustic excitation, and performing a simulation analysis on the radiation noise of the target sheet metal structure. A finite element analysis model of the target sheet metal structure is established, and the running excitation of the noise excitation source is used as the load input, wherein the excitation signal of the noise excitation source can be obtained through experimental testing, and the surface vibration velocity of the target sheet metal structure can be extracted through a dynamic analysis of the target sheet metal structure. The surface vibration velocity of the target sheet metal structure is mapped to an acoustic grid as a boundary condition for acoustic excitation, and the radiation noise of the target sheet metal structure is simulated and analyzed, thereby obtaining a radiation noise frequency response curve of the target sheet metal structure.

[0033] After obtaining the radiation noise frequency response curve of the target sheet metal structure, execute step S2, and obtain the acoustic contribution of each plate of the target sheet metal structure at the peak frequency according to the peak frequency of the radiation noise frequency response curve, and take the plate whose acoustic contribution ratio is greater than the first threshold as the target optimization plate. Among them, the first threshold can be pre-set according to experimental data. In order to be able to optimize the target sheet metal structure purposefully and improve the optimization efficiency, the plate whose acoustic contribution ratio of each plate of the target sheet metal structure is greater than the first threshold is taken as the target optimization plate, so that the plate causing abnormal noise in the target sheet metal structure can be identified to avoid blind optimization. The plate of the target sheet metal structure can be determined according to the type of the target sheet metal structure. For example, the sheet metal structure of the air conditioner outdoor unit includes panels, right side panels, top covers, middle partitions, chassis and other plates.

[0034] After determining the target optimization plate, execute step S3 to obtain the modal contribution of each mode of the target optimization plate to acoustics at the peak frequency, superimpose the modal contribution proportions from high to low to obtain the total modal contribution proportions, and form a modal vibration shape variable group for all modes when the total modal contribution proportions are greater than or equal to the second threshold. Among them, the second threshold can be pre-set according to experimental data. By calculating the modal contribution of the target optimization plate at the peak frequency, all modes when the total modal contribution proportions are greater than or equal to the second threshold form a modal vibration shape variable group, that is, superimpose the modal contribution proportions one by one from high to low, and when the total modal contribution proportions are greater than or equal to the second threshold, all superimposed modes are formed into a modal vibration shape variable group. The optimization effect can be improved by using the modes with a larger modal contribution proportion to form a modal vibration shape variable group.

[0035] After obtaining the modal vibration shape variable group, step S4 is executed to determine the structural shape parameterized model of the target optimization plate according to the modal vibration shape variable group, using the participation factor of each modal vibration shape as the design variable. In order to facilitate structural modification of the target optimization plate, it is necessary to determine the structural shape parameterized model through the modal vibration shape variable group and the participation factor.

[0036] In this embodiment, the step of determining the target optimization plate according to the modal vibration mode variable group and taking the participation factor of each modal vibration mode as the structural shape parameterized model of the design variable includes: normalizing the displacement of each order modal vibration mode in the modal vibration mode variable group to obtain the displacement vector of each order modal vibration mode; determining the structural shape parameterized model according to the displacement vector and the participation factor. By obtaining the displacement vector of each order modal vibration mode and determining the structural shape parameterized model according to the displacement vector and the participation factor, a corresponding unique structural shape can be obtained when a set of modal vibration mode participation factors is given. Taking the participation factor of each modal vibration mode as the design variable, the design variable is related to the selected order of the modal vibration mode and has nothing to do with the complexity of the structure, and can provide the optimization result more efficiently and quickly.

[0037] In this embodiment, the node coordinates of the structural shape parameterized model are expressed as follows: , where k i is the participation factor of the i-th mode shape, , and are the displacement vectors in the x, y, and z directions of the i-th order mode shape, x0 and x l are the coordinate values ​​of the nodes in the x direction under the initial structure and the new structure, y0 and y l are the coordinate values ​​of the nodes in the y direction under the initial structure and the new structure, z0 and z lThe coordinates of the nodes in the z direction of the initial structure and the new structure are respectively. By superimposing the displacement vectors in the x, y, and z directions of each modal vibration mode with the coordinates of the initial structure, the coordinates of the nodes in the new structure after changing the participation factor can be confirmed.

[0038] After obtaining the parameterized model of the structural shape, step S5 is executed to select the modified area of ​​the target optimized plate, and perform structural optimization using a preset algorithm to obtain the final optimized structure of the target optimized plate. Preferably, the preset algorithm is a genetic algorithm. After obtaining the parameterized model of the structural shape, the modified area of ​​the target optimized plate can be selected, and the area requiring structural modification can be structurally optimized. By using the preset algorithm for structural optimization, the optimization accuracy can be improved.

[0039] In this embodiment, when the preset algorithm is used for structural optimization, the optimization goal is to minimize the peak value of the radiation noise and the effective value of the radiation noise of the radiation noise frequency response curve in the preset frequency range. Compared with blindly improving the structural stiffness, directly optimizing the sound radiation noise result can more directly improve the acoustic performance of the structure.

[0040] In this embodiment, when the preset algorithm is used for structural optimization, the mathematical model for structural shape optimization is as follows: ,in, is the objective function for the minimum peak value of the radiation noise of the radiation noise frequency response curve, The objective function is the minimum effective value of the radiation noise, and the fluctuation value of the node along the three directions satisfies , X, Y, and Z are the maximum fluctuation values ​​in the three directions, and A is the preset maximum participation factor value. In order to ensure the quality of the structural grid unit and the processability of the structure, the fluctuation value of the structural node along the three directions must be less than or equal to the maximum fluctuation value in the design specification. In order to avoid a single modal vibration mode participation factor being too high, resulting in poor optimization effect, the participation factor must be less than or equal to the preset maximum participation factor value.

[0041] According to the set optimization goal, the genetic algorithm is used to find the global optimal solution for the entire structural design space. The maximum number of cycles of the genetic algorithm is used as the termination condition. After the termination condition is met, the final optimized structure of the target optimization plate can be obtained.

[0042] In order to better illustrate the present invention, the sheet metal structure of an air conditioner outdoor unit is taken as an example below.

[0043] The sheet metal structure of the air conditioner outdoor unit includes the right side panel, top cover, panel, chassis, middle partition and left side panel. Figure 2Based on the acoustic contribution coefficients of each panel in the simulation results, it can be seen that at the peak frequency of 204Hz, the acoustic contribution of the panel is 55%, which accounts for the largest proportion. The panel structure is then used as the target optimization panel for subsequent optimization. By clarifying the target optimization panel, the blindness of optimization can be avoided.

[0044] There are 8 modes whose total panel modal contribution accounts for more than or equal to 80%. These 8 modes are placed in a group as a modal vibration shape variable group, and the participation factor of the modal vibration shape is used as the optimization variable. The number of variables is small, and the calculation is simple and efficient.

[0045] The 8th-order modal displacement in the modal vibration variable group of the panel structure is normalized. The vibration of the panel structure is mainly outward bending vibration. The changes of the structural nodes in the x and y directions are very small and can be ignored. Only the structural shape changes in the z direction of the nodes are considered. The node coordinates of the structural shape parameterization model can be simplified as: .

[0046] Next, see Figure 3 , select the right side of panel 1 as modification area 2, so that the peak value of the radiation noise frequency response curve is the smallest And calculate the minimum effective value of the radiated noise in the preset frequency band is the objective function. In order to ensure the quality of the structural grid unit and the processability of the structure, the fluctuation value of the structural node along the z direction must be less than or equal to 10 mm, that is, In order to avoid a single mode vibration factor being too high, resulting in poor optimization results, the participation factor k i Less than or equal to 50. The mathematical model for structural shape optimization is as follows: .

[0047] The preset frequency range is 100 Hz to 400 Hz, and the genetic algorithm is used to find the global optimal solution for the modified area. The participation factors of the 8th-order mode of the optimized structural model are k1=15.2, k2=49.5, k3=29.3, k4=13.4, k5=9.8, k6=4.7, k7=8.3, and k8=2.7. Based on the modal participation factors, the reconstructed optimized structural shape is as follows: Figure 4 See area 3. Figure 5 Comparing the structure before and after panel optimization, the peak radiation noise of the air conditioner outdoor unit was reduced from 69.9dB to 60.5dB, a decrease of 9.4dB. The effective value of radiation noise in the preset frequency band was reduced from 65.3dB to 58.7dB, a decrease of 6.6dB. The optimization effect is obvious.

[0048] From the above, it can be seen that the sheet metal structure radiation noise optimization method of the present invention obtains the acoustic contribution simulation result by establishing the acoustic model of the target sheet metal structure, thereby clarifying the plate that causes abnormal noise in the target sheet metal structure, determining the target optimization plate that needs to be optimized for noise, and improving the optimization effect. When optimizing the target optimization plate, the structural shape function is defined by a set of linear combinations of modal vibration shapes. This method facilitates the establishment of a structural shape parameterized model of a complex structure, and can map the structural shape with fewer design variables, thereby improving the optimization efficiency.

[0049] Computer device embodiment: The computer device of this embodiment includes a controller, and when the controller executes a computer program, the steps in the above-mentioned sheet metal structure radiation noise optimization method embodiment are implemented.

[0050] For example, a computer program may be divided into one or more modules, one or more modules are stored in a memory and executed by a controller to implement the present invention. One or more modules may be a series of computer program instruction segments capable of implementing specific functions, and the instruction segments are used to describe the execution process of the computer program in a computer device.

[0051] The computer device may include, but is not limited to, a controller and a memory. Those skilled in the art will appreciate that the computer device may include more or fewer components, or a combination of certain components, or different components, for example, the computer device may also include input and output devices, network access devices, buses, etc.

[0052] For example, the controller may be a central processing unit (CPU), other general controllers, digital signal processors (DSP), application specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general controller may be a microcontroller or any conventional controller, etc. The controller is the control center of the computer device, and uses various interfaces and lines to connect the various parts of the entire computer device.

[0053] The memory can be used to store computer programs and / or modules. The controller realizes various functions of the computer device by running or executing the computer programs and / or modules stored in the memory and calling the data stored in the memory. For example, the memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function (such as a sound receiving function, a sound conversion to text function, etc.), etc.; the data storage area can store data created according to the use of the mobile phone (such as audio data, text data, etc.), etc. In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (SmartMediaCard, SMC), a secure digital (SecureDigital, SD) card, a flash card (FlashCard), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0054] Computer readable storage medium embodiment: If the module integrated in the computer device of the above embodiment is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the implementation of all or part of the process in the above sheet metal structure radiation noise optimization method embodiment can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the controller, the steps of the above sheet metal structure radiation noise optimization method embodiment can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The storage medium may include: any entity or device capable of carrying computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium does not include electric carrier signals and telecommunication signals.

[0055] It should be noted that the above are only preferred embodiments of the present invention, but the design concept of the invention is not limited thereto, and any non-substantial modifications made to the present invention using this concept also fall within the protection scope of the present invention.

Claims

1. A method for optimizing the radiation noise of a sheet metal structure, characterized in that: include: Establishing an acoustic model of a target sheet metal structure, performing simulation analysis on the radiation noise of the target sheet metal structure, and obtaining a frequency response curve of the radiation noise of the target sheet metal structure; According to the peak frequency of the radiated noise frequency response curve, the acoustic contribution of each plate of the target sheet metal structure at the peak frequency is obtained, and the plate whose acoustic contribution ratio is greater than a first threshold is taken as the target optimization plate; Obtain the modal contribution of each mode of the target optimization plate to acoustics at the peak frequency, superimpose the modal contribution proportions from high to low to obtain the total modal contribution proportion, and form a modal vibration shape variable group with all modes when the total modal contribution proportion is greater than or equal to a second threshold; Determining, according to the modal vibration shape variable group, a structural shape parameterized model of the target optimization plate with the participation factor of each modal vibration shape as a design variable; The modification area of ​​the target optimization plate is selected, and the structure is optimized using a preset algorithm to obtain the final optimized structure of the target optimization plate.

2. The sheet metal structure radiation noise optimization method according to claim 1, characterized in that: The steps of simulating and analyzing the radiation noise of the target sheet metal structure include: Establishing a finite element analysis model of the target sheet metal structure, performing a dynamic analysis of the target sheet metal structure under the action of a noise excitation source, and obtaining a surface vibration velocity of the target sheet metal structure; The surface vibration velocity of the target sheet metal structure is mapped to an acoustic grid as a boundary condition for acoustic excitation, and the radiation noise of the target sheet metal structure is simulated and analyzed.

3. The sheet metal structure radiation noise optimization method according to claim 1, characterized in that: The step of determining the structural shape parameterized model of the target optimization plate with the participation factor of each modal vibration shape as the design variable according to the modal vibration shape variable group includes: Normalizing the displacement of each modal vibration mode in the modal vibration mode variable group to obtain a displacement vector of each modal vibration mode; The structural shape parameterized model is determined according to the displacement vector and the participation factor.

4. The sheet metal structure radiation noise optimization method according to claim 3, characterized in that: The node coordinates of the structural shape parameterized model are expressed as follows: ， Among them, k i is the participation factor of the i-th mode shape, i ranges from 1 to m, , and are the displacement vectors in the x, y, and z directions of the i-th order mode shape, x0 and x l are the coordinate values ​​of the nodes in the x direction under the initial structure and the new structure, y0 and y l are the coordinate values ​​of the nodes in the y direction under the initial structure and the new structure, z0 and z l are the coordinate values ​​of the nodes in the z direction under the initial structure and the new structure respectively.

5. The sheet metal structure radiation noise optimization method according to claim 4, characterized in that: When the preset algorithm is used for structural optimization, the optimization goal is to minimize the radiation noise peak value and the radiation noise effective value of the radiation noise frequency response curve in the preset frequency range.

6. The sheet metal structure radiation noise optimization method according to claim 5, characterized in that: When the preset algorithm is used for structural optimization, the mathematical model of structural shape optimization is as follows: ， in, is the objective function of the minimum peak value of the radiation noise of the radiation noise frequency response curve, The objective function is the minimum effective value of the radiation noise, and the fluctuation value of the node along the three directions satisfies , X, Y, and Z are the maximum fluctuation values ​​in the three directions respectively, and A is the preset maximum participation factor value.

7. The method for optimizing the radiated noise of sheet metal structures according to claim 5, characterized in that: The preset frequency range is 100 Hz to 400 Hz.

8. The method for optimizing the radiated noise of a sheet metal structure according to any one of claims 1 to 5, characterized in that: The preset algorithm is a genetic algorithm.

9. A computer device comprising a processor and a memory, characterized in that: The memory stores a computer program, and when the computer program is executed by the processor, the steps of the sheet metal structure radiation noise optimization method according to any one of claims 1 to 8 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the controller, the steps of the sheet metal structure radiation noise optimization method according to any one of claims 1 to 8 are implemented.

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