Novel fisheye terminal size optimization method

Abstract

The invention discloses a novel fisheye terminal size optimization method, and relates to the technical field of connectors, and the method comprises the following steps: obtaining size parameters of fisheye terminal parametric modeling; designing an orthogonal test table; compiling a fisheye terminal parametric modeling command stream; establishing a corresponding fisheye terminal finite element model in combination with parameter combination in the orthogonal experiment table and the compiled parameterized modeling command stream, and performing a finite element simulation experiment; designing an optimization target, and extracting corresponding simulation result data according to the optimization target; performing multiple linear regression analysis between an optimization target and a design variable, and establishing a regression prediction model; a multi-objective optimization function is established based on a linear regression model of an optimization objective, an optimal combination of design variables is obtained, and the problems that when an existing fisheye terminal size parameter optimization method is used, due to too many optimization design finite element analysis cases, traditional manual modeling is complex, time-consuming and labor-consuming, and errors are prone to occurring are solved.

Description

Technical Field

[0001] This invention relates to the field of connector technology, and specifically to a novel method for optimizing the size of fisheye terminals. Background Technology

[0002] Electrical connectors, as key components in many electrical devices, form connections between wire harnesses or electronic components, providing high power or high current to the connected devices (e.g., motors, batteries). Connectors using the press-fit connection method are called press-fit connectors, and they can be divided into two structures: solid press-fit and flexible press-fit. Solid press-fit terminals do not undergo elastic deformation during insertion, but their leads may damage PCB vias; flexible press-fit terminals (also known as fisheye terminals) are compressed during insertion, undergoing elasto-plastic deformation. Therefore, fisheye terminals are usually preferred. An additional advantage of using fisheye terminals is that even if stress relaxation occurs on the PCB vias, the elastic strain energy stored in the leads can maintain metal-to-metal contact.

[0003] However, due to the wide range of applications and complex working environments of fisheye terminals, the actual performance and lifespan of the terminals in practical applications often differ from the test values ​​or numerical model results in the laboratory, ultimately leading to premature failure or ineffectiveness of the terminals. Therefore, to ensure better reliability of fisheye terminals, it is necessary to conduct a series of predictions and optimization analyses on their insertion and extraction forces, equivalent stress and strain, contact pressure, contact area, temperature rise, and other properties based on the actual working environment during the terminal design stage.

[0004] Currently, inventors have proposed optimization methods for the structural parameters of fisheye terminals. For example, invention patent CN117077492A discloses an optimization method for fisheye terminal structural parameters based on PB tests and response surface methodology. This method uses insertion and extraction force as the objective function and optimizes the fisheye terminal structural parameters based on PB tests and response surface methodology. This method effectively reduces the number of simulation tests by utilizing PB tests and also considers the interaction between structural parameters, which helps improve the efficiency and accuracy of product design. However, this method only reduces the number of simulation tests and does not improve efficiency in terms of simulation model establishment. Simply establishing finite element models of terminals with different combinations of size parameters manually is not only time-consuming and labor-intensive but also cannot avoid errors caused by human factors (such as CAD modeling errors, mesh generation errors, etc.). At the same time, this method only optimizes the terminal insertion and extraction force and does not consider other factors that affect terminal performance (such as contact area, equivalent stress and strain, etc.), thus failing to comprehensively improve the working performance of the terminal. Summary of the Invention

[0005] Based on this, and in response to the above problems, this invention proposes a novel method for optimizing the size of fisheye terminals. This method solves the problem that current methods for optimizing fisheye terminal size parameters are complex, time-consuming, labor-intensive, and prone to errors due to the large number of finite element analysis cases in the optimization design.

[0006] The technical solution of this invention is: A novel method for optimizing the size of fisheye terminals includes the following steps: S1: Obtain the dimensional parameters for parametric modeling of the fisheye terminal; S2: Select the dimensional parameters that affect the performance of the fisheye terminal as design variables and design an orthogonal experimental table; S3: Write the command flow for parametric modeling of fisheye terminals; S4: Combine the parameter combinations in the orthogonal experiment table with the written parametric modeling command flow to establish the corresponding fisheye terminal finite element model and conduct finite element simulation experiments. S5: Design optimization objectives, write post-processing command streams to extract terminal optimization objectives, and extract corresponding simulation result data based on optimization objectives; S6: Conduct multiple linear regression analysis between the optimization objective and the design variables, and establish a regression prediction model; S7: Design multiple sets of simulation experiments and use the simulation results to verify the accuracy of the regression prediction model; S8: Establish a multi-objective optimization function based on the linear regression model of the optimization objective, and combine it with the optimization algorithm to obtain the optimal combination of design variables.

[0007] Preferably, step S1 specifically includes: Using 3D modeling software, we drew the initial model of the fisheye terminal, a simplified PCB board, and engineering drawings of the copper layer on the PCB board, and obtained the dimensional parameters of the fisheye terminal for parametric modeling.

[0008] Preferably, step S2 specifically includes: Based on the structural characteristics of the fisheye terminal, dimensional parameters are selected as design variables for the hole and the periphery of the terminal. The dimensional parameters include the two arc radii R1 and R2 of the hole and the groove, the hole height H1, the two arc radii R3 and R4 of the periphery, and the side fillet radius R5. Five factor levels were selected for each of the chosen design variables, and three-factor, five-level orthogonal experimental tables were designed for the dimensional parameters of the holes and the periphery.

[0009] Preferably, step S3 specifically includes: Specify separate parameter names for design variables in the command flow; A CAD model of a fisheye connector, including the fisheye terminal and PCB board, was created using the APDL language. Write the command flow for the CAE model of the fisheye terminal, including mesh generation, contact condition setting, boundary condition setting, and load application, and establish the transient dynamic finite element model of the PCB board when the fisheye terminal is inserted and removed.

[0010] Preferably, in step S5, the optimization objective is specifically: The contact area between the terminal and the copper layer after insertion; Insertion force attenuation rate; The pull-out force value when the displacement is 0.3mm during the pull-out stage; Insertion and extraction force difference; Maximum equivalent plastic strain.

[0011] Preferably, in step S5, The formula for calculating the insertion force attenuation rate is: Wherein, the extreme value of the insertion force is: the maximum value of the insertion force during the terminal insertion stage, and the final value of the insertion force is: the insertion force taken when the terminal is inserted for 1.8 seconds as the final value of the insertion force; The formula for calculating the insertion and extraction force difference is: Among them, the extreme value of the pull-out force is the maximum value of the pull-out force during the terminal pull-out stage.

[0012] Preferably, the contact area between the terminal and the copper cladding layer after insertion is used to measure the contact resistance and contact performance of the terminal, the insertion force attenuation rate and the insertion / extraction force difference are used to improve the stability during the insertion stage, the extraction force value when the displacement is 0.3 mm during the extraction stage is used to evaluate the retention performance, and the maximum equivalent plastic strain is used to optimize the structural strength of the terminal.

[0013] Preferably, step S6 specifically includes: Using MATLAB software, a multiple linear regression analysis was performed between the optimization objective and the design variables to derive the objective function expression and establish the regression prediction model.

[0014] Preferably, in step S7: The parameter combinations used in the verification experiments all fall outside the range of orthogonal experimental parameter combinations. Compare the simulation results of the verification experiment with the calculation results of the regression prediction model. If the difference exceeds 5%, the regression prediction model needs to be readjusted.

[0015] Preferably, step S8 specifically includes: The overall objective function is constructed using the multiplication and division method of sub-objectives; By combining intelligent optimization algorithms and engineering design requirements to define the range of variables, the optimal solution of the overall objective function is obtained; The optimal solution combination is substituted into the parametric modeling program to establish a finite element model and perform simulation, comparing the simulation data before and after optimization.

[0016] Compared with the prior art, the present invention has the following beneficial effects: This invention constructs a transient dynamic finite element model of the insertion and removal process of fisheye terminals on a PCB board based on parametric modeling. It features high modeling efficiency and accuracy, enabling rapid and accurate establishment of finite element models of fisheye terminals with multiple dimensional parameter combinations. Simultaneously, it minimizes errors caused by human factors, making it particularly suitable for simulation optimization design fields requiring extensive finite element analysis. It solves the problem that current fisheye terminal dimensional parameter optimization methods are complex, time-consuming, and prone to errors due to the large number of finite element analysis cases in optimization designs, resulting in complex traditional manual modeling. Attached Figure Description

[0017] 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 of the scope. For those skilled in the art, other related drawings can be obtained from these drawings without creative effort.

[0018] Figure 1 This is a flowchart illustrating a novel fisheye terminal size optimization method as described in an embodiment of the present invention; Figure 2 This is a schematic diagram showing the location of the fisheye terminal design variables as described in this embodiment of the invention; Figure 3 This is a schematic diagram of the contact area in the optimization target described in the embodiments of the present invention; Figure 4 This is a schematic diagram of the insertion force attenuation rate in the optimization target described in this embodiment of the invention; Figure 5 This is a schematic diagram of the pull-out force value and the difference between the insertion and pull-out force when the displacement during the pull-out stage is 0.3 mm in the optimization target described in the embodiment of the present invention; Figure 6 This is a structural schematic diagram of the fisheye connector CAD model (1 / 4 model) described in this embodiment of the invention; Figure 7 This is a schematic diagram of the structure of the fisheye connector CAE model (1 / 4 model) described in this embodiment of the invention. Detailed Implementation

[0019] In the following description, only certain exemplary embodiments are briefly described. As those skilled in the art will recognize, the described embodiments can be modified in various ways without departing from the spirit or scope of the embodiments of the invention. Therefore, the drawings and description are considered to be exemplary in nature and not restrictive.

[0020] In the description of the embodiments of the present invention, it should be understood that the terms "length", "vertical", "horizontal", "top", "bottom", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings. They are only for the convenience of describing the embodiments of the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the embodiments of the present invention.

[0021] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of embodiments of the present invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0022] In this embodiment of the invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," "linking," and "fixing," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection, an electrical connection, or a communication connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. Those skilled in the art can understand the specific meaning of the above terms in this embodiment of the invention according to the specific circumstances.

[0023] In embodiments of the present invention, unless otherwise explicitly specified and limited, "above" or "below" the second feature can include direct contact between the first and second features, or contact between the first and second features through another feature between them. Furthermore, "above," "over," and "on top" of the second feature includes the first feature being directly above or diagonally above the second feature, or simply indicates that the first feature is at a higher horizontal level than the second feature. "Below," "below," and "under" the second feature includes the first feature being directly above or diagonally above the second feature, or simply indicates that the first feature is at a lower horizontal level than the second feature.

[0024] The following disclosure provides many different implementations or examples for carrying out different structures of the embodiments of the present invention. To simplify the disclosure of the embodiments of the present invention, specific examples of components and arrangements are described below. Of course, these are merely examples and are not intended to limit the embodiments of the present invention. Furthermore, reference numerals and / or reference letters may be repeated in different examples of the embodiments of the present invention; such repetition is for simplification and clarity and does not in itself indicate a relationship between the various implementations and / or arrangements discussed.

[0025] The embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0026] Example: like Figures 1 to 2 As shown, this embodiment discloses a novel method for optimizing the size of fisheye terminals, including the following steps: S1: Obtain the dimensional parameters for parametric modeling of the fisheye terminal; Specifically, the process involves using 3D modeling software to create an initial model of the fisheye terminal, a simplified PCB board, and engineering drawings of the copper layer on the PCB board, thereby obtaining the dimensional parameters for the parametric modeling of the fisheye terminal. S2: Select the dimensional parameters that affect the performance of the fisheye terminal as design variables and design an orthogonal experimental table; Specifically, based on the structural characteristics of the fisheye terminal, dimensional parameters are selected as design variables for the hole and the periphery of the terminal. The dimensional parameters include the two arc radii R1 and R2 of the hole and the groove, the hole height H1, the two arc radii R3 and R4 of the periphery, and the side fillet radius R5. Five factor levels were selected for each of the chosen design variables, and three-factor, five-level orthogonal experimental tables were designed for the dimensional parameters of the holes and the periphery. S3: Write the command flow for parametric modeling of fisheye terminals; Specifically, this involves specifying separate parameter names for design variables within the command flow; A CAD model of a fisheye connector, including the fisheye terminal and PCB board, was created using the APDL language. Write the command flow for the CAE model of the fisheye terminal, including mesh generation, contact condition setting, boundary condition setting and load application, and establish the transient dynamic finite element model of the PCB board when the fisheye terminal is inserted and removed. S4: Combine the parameter combinations in the orthogonal experiment table with the written parametric modeling command flow to establish the corresponding fisheye terminal finite element model and conduct finite element simulation experiments. S5: Design optimization objectives, write post-processing command streams to extract terminal optimization objectives, and extract corresponding simulation result data based on optimization objectives; The specific optimization objectives are as follows: The contact area between the terminal and the copper layer after insertion; Insertion force attenuation rate; The pull-out force value when the displacement is 0.3mm during the pull-out stage; Insertion and extraction force difference; Maximum equivalent plastic strain; The formula for calculating the insertion force attenuation rate is: Among them, the extreme value of the insertion force is the maximum value of the insertion force during the terminal insertion stage, and the final value of the insertion force is the insertion force taken as the final value of the insertion force when the terminal is inserted for 1.8 seconds (the entire terminal insertion stage is 2.0 seconds). The formula for calculating the insertion and extraction force difference is: Among them, the pull-out force extreme value is: the maximum value of the pull-out force during the terminal pull-out stage; The contact area between the terminal and the copper layer after insertion is used to measure the contact resistance and contact performance of the terminal. The insertion force attenuation rate and the insertion and extraction force difference are used to improve the stability during the insertion stage. The extraction force value when the displacement is 0.3mm during the extraction stage is used to evaluate the retention performance. The maximum equivalent plastic strain is used to optimize the structural strength of the terminal. S6: Conduct multiple linear regression analysis between the optimization objective and the design variables, and establish a regression prediction model; Specifically, based on MATLAB software, a multiple linear regression analysis is performed between the optimization objective and the design variables to derive the objective function expression and complete the establishment of the regression prediction model; S7: Design multiple sets of simulation experiments and use the simulation results to verify the accuracy of the regression prediction model; Among them, the parameter combinations of the verification experiments all involve ranges outside the orthogonal experimental parameter combinations; Compare the simulation results of the verification experiment with the calculation results of the regression prediction model. If the difference exceeds 5% (including 5%), the regression prediction model needs to be readjusted. S8: Establish a multi-objective optimization function based on the linear regression model of the optimization objective, and combine it with the optimization algorithm to obtain the optimal combination of design variables; Specifically, the overall objective function is constructed using the multiplication and division method of sub-objectives; By combining intelligent optimization algorithms and engineering design requirements to define the range of variables, the optimal solution of the overall objective function is obtained; The optimal solution combination is substituted into the parametric modeling program to establish a finite element model and perform simulation, comparing the simulation data before and after optimization.

[0027] The intelligent optimization algorithm uses the conventional genetic algorithm found in existing technologies.

[0028] This invention constructs a transient dynamic finite element model of the insertion and removal process of fisheye terminals on a PCB board based on parametric modeling. It features high modeling efficiency and accuracy, enabling rapid and accurate establishment of finite element models of fisheye terminals with multiple dimensional parameter combinations. Simultaneously, it minimizes errors caused by human factors, making it particularly suitable for simulation optimization design fields requiring extensive finite element analysis. It solves the problem that current fisheye terminal dimensional parameter optimization methods are complex, time-consuming, and prone to errors due to the large number of finite element analysis cases in optimization designs, resulting in complex traditional manual modeling.

[0029] To improve the overall performance of the fisheye terminal, this invention incorporates a series of optimization objectives, including: considering the terminal insertion force attenuation rate and the difference between insertion and extraction forces to optimize stability during insertion and extraction; considering the extraction force value when the terminal displacement is 0.3 mm during extraction to evaluate its retention performance; considering the contact area between the terminal and the copper layer after insertion to improve the integrity of terminal signal transmission and reduce the temperature rise of the contact area during power-on, thereby optimizing its electrothermal performance; and considering equivalent plastic strain to optimize the terminal structural strength. The comprehensive consideration of these multiple optimization objectives contributes to improving the overall performance of the terminal.

[0030] Taking a fisheye terminal made of C70250 material as an example, its yield strength is 611MPa, its shear strength limit is 204MPa, the yield strength of the copper cladding layer is 305MPa, the shear strength limit is 180MPa, and the coefficient of friction between the fisheye terminal and the copper cladding layer of the PCB board is set to 0.6.

[0031] After completing step S2, Table 1 and Table 2 are obtained, as follows: Table 3 Terminal Hole and Slot Size Optimization Level Table Table 4 Terminal Peripheral Dimension Optimization Level Table After completing step S5, the following can be obtained: Figures 3 to 7 The schematic diagram shown shows that, Figure 3 This is a schematic diagram of the contact area in the optimization target; Figure 4 This is a schematic diagram of the insertion force attenuation rate in the target optimization. Figure 5 This is a schematic diagram showing the pull-out force value and the difference between the insertion and pull-out forces when the displacement is 0.3mm during the pull-out stage in the optimization target. Figure 6 This is a structural schematic diagram of the CAD model (1 / 4 scale) of the fisheye connector; Figure 7 This is a schematic diagram of the structure of the fisheye connector CAE model (1 / 4 model).

[0032] The following is an example of optimizing the dimensions of the slot portion of the fisheye terminal: Using MATLAB software, a multiple linear regression analysis was performed between the optimization objective and the design variables to derive the objective function expression and establish the regression prediction model.

[0033] Based on the orthogonal experimental data of the optimization of the fisheye terminal slot size, a multiple linear regression equation between the optimization objective and the size factor was obtained. In the regression equation, A represents the size factor R1, B represents the size factor R2, and C represents the size factor H1.

[0034] Contact area between the terminal and the copper layer after insertion: Insertion force attenuation rate: Pull-out force value when the displacement is 0.3mm during the pull-out stage: Insertion and extraction force difference: Maximum equivalent plastic strain: Among them, the correlation coefficient of the contact area fitting Correlation coefficient of insertion force attenuation rate fitting The correlation coefficient of the pull-out force value fitting when the displacement is 0.3 mm during the pull-out stage. Correlation coefficient of the fitting of terminal insertion and extraction force difference The correlation coefficient of the maximum equivalent plastic strain fitting of the terminal .

[0035] The final simulation results differed from the fitted data results by no more than 2%, proving that the fitting results of the method of the present invention have good accuracy.

[0036] After completing step S8, the final optimization result is as follows: Optimal combination: R1=2.94 mm, R2=3.9 mm, H1=1.56 mm; The combined dimensions were substituted into the parametric command stream for simulation calculation to obtain the mechanical properties of the optimal solution. These properties were then compared with the original dimensions, resulting in Table 3, as follows: Table 5. Effects of Hole and Groove Size Optimization After optimizing the terminal hole and slot dimensions, the next step is to optimize the terminal perimeter dimensions. The steps are basically the same and will not be repeated here. The final optimization results are shown in Table 6 below: Table 6 Final Results of Size Optimization This invention realizes a novel fisheye terminal size optimization based on parametric modeling. It not only greatly improves the construction efficiency of finite element model in optimization design and reduces errors caused by human factors based on parametric ideas, but also proposes to comprehensively consider multiple optimization objectives to improve the insertion and removal performance and contact performance of fisheye terminals, thereby improving the overall performance of fisheye terminals.

[0037] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including both the preferred embodiments and all changes and modifications falling within the scope of the invention.

[0038] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. It should be noted that any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A novel method for optimizing the size of a fisheye terminal, characterized in that, Includes the following steps: S1: Obtain the dimensional parameters for parametric modeling of the fisheye terminal; S2: Select the dimensional parameters that affect the performance of the fisheye terminal as design variables and design an orthogonal experimental table; S3: Write the command flow for parametric modeling of fisheye terminals; S4: Combine the parameter combinations in the orthogonal experiment table with the written parametric modeling command flow to establish the corresponding fisheye terminal finite element model and conduct finite element simulation experiments. S5: Design optimization objectives, write post-processing command streams to extract terminal optimization objectives, and extract corresponding simulation result data based on optimization objectives; S6: Conduct multiple linear regression analysis between the optimization objective and the design variables, and establish a regression prediction model; S7: Design multiple sets of simulation experiments and use the simulation results to verify the accuracy of the regression prediction model; S8: Establish a multi-objective optimization function based on the linear regression model of the optimization objective, and combine it with the optimization algorithm to obtain the optimal combination of design variables.

2. The novel fisheye terminal size optimization method according to claim 1, characterized in that, Step S1 is as follows: Using 3D modeling software, we drew the initial model of the fisheye terminal, a simplified PCB board, and engineering drawings of the copper layer on the PCB board, and obtained the dimensional parameters of the fisheye terminal for parametric modeling.

3. The novel fisheye terminal size optimization method according to claim 2, characterized in that, Step S2 is as follows: Based on the structural characteristics of the fisheye terminal, dimensional parameters are selected as design variables for the hole and the periphery of the terminal. The dimensional parameters include the two arc radii R1 and R2 of the hole and the groove, the hole height H1, the two arc radii R3 and R4 of the periphery, and the side fillet radius R5. Five factor levels were selected for each of the chosen design variables, and three-factor, five-level orthogonal experimental tables were designed for the dimensional parameters of the holes and the periphery.

4. The novel fisheye terminal size optimization method according to claim 3, characterized in that, Step S3 is as follows: Specify separate parameter names for design variables in the command flow; A CAD model of a fisheye connector, including the fisheye terminal and PCB board, was created using the APDL language. Write the command flow for the CAE model of the fisheye terminal, including mesh generation, contact condition setting, boundary condition setting, and load application, and establish the transient dynamic finite element model of the PCB board when the fisheye terminal is inserted and removed.

5. The novel fisheye terminal size optimization method according to claim 4, characterized in that, In step S5, the optimization objective is specifically: The contact area between the terminal and the copper layer after insertion; Insertion force attenuation rate; The pull-out force value when the displacement is 0.3mm during the pull-out stage; Insertion and extraction force difference; Maximum equivalent plastic strain.

6. The novel fisheye terminal size optimization method according to claim 5, characterized in that, In step S5, The formula for calculating the insertion force attenuation rate is: Wherein, the extreme value of the insertion force is: the maximum value of the insertion force during the terminal insertion stage, and the final value of the insertion force is: the insertion force taken when the terminal is inserted for 1.8 seconds as the final value of the insertion force; The formula for calculating the insertion and extraction force difference is: Among them, the extreme value of the pull-out force is the maximum value of the pull-out force during the terminal pull-out stage.

7. A novel method for optimizing the size of a fisheye terminal according to claim 6, characterized in that, The contact area between the terminal and the copper layer after insertion is used to measure the contact resistance and contact performance of the terminal. The insertion force attenuation rate and the difference between insertion and extraction forces are used to improve the stability during the insertion stage. The extraction force value when the displacement is 0.3mm during the extraction stage is used to evaluate the retention performance. The maximum equivalent plastic strain is used to optimize the structural strength of the terminal.

8. A novel method for optimizing the size of a fisheye terminal according to claim 7, characterized in that, Step S6 is as follows: Using MATLAB software, a multiple linear regression analysis was performed between the optimization objective and the design variables to derive the objective function expression and establish the regression prediction model.

9. A novel method for optimizing the size of a fisheye terminal according to claim 8, characterized in that, In step S7: The parameter combinations used in the verification experiments all fall outside the range of orthogonal experimental parameter combinations. Compare the simulation results of the verification experiment with the calculation results of the regression prediction model. If the difference exceeds 5%, the regression prediction model needs to be readjusted.

10. A novel method for optimizing the size of a fisheye terminal according to claim 9, characterized in that, Step S8 is as follows: The overall objective function is constructed using the multiplication and division method of sub-objectives; By combining intelligent optimization algorithms and engineering design requirements to define the range of variables, the optimal solution of the overall objective function is obtained; The optimal solution combination is substituted into the parametric modeling program to establish a finite element model and perform simulation, comparing the simulation data before and after optimization.

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