A global optimization design method and device for a glue injection port of a composite insulator shed sheath injection molding mold, an electronic device, and a storage medium

Abstract

The application discloses a global optimization design method and device for a glue injection port of an injection molding mold for a composite insulator umbrella skirt sheath, electronic equipment, and a storage medium, and belongs to the technical field of mold optimization design. A physical model of the injection molding mold for the composite insulator umbrella skirt sheath is established; the number of glue injection ports is determined; the position of the glue injection port is parameterized, and the value range of the position parameter of the glue injection port is determined; sampling is performed within the value range of the position parameter of the glue injection port; the boundary conditions of the glue injection process are determined, and a sample library is established; a mapping model of the position parameter of the glue injection port and the glue injection result parameter is established, and the model precision is evaluated; the position of the glue injection port is optimized; simulation calculation is performed on a model containing a glue injection pipeline, the pipeline arrangement is adjusted according to the glue material reaching time of the pipeline to the glue injection port, and the glue material reaching time to the glue injection port is ensured to be consistent. The application can greatly reduce the number of numerical simulations, thereby significantly accelerating the optimization design process of the position of the glue injection port, shortening the design cycle, and saving the design cost.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of mold optimization design, and in particular to a global optimization design method and device for a glue injection port of a composite insulator umbrella skirt sheath injection molding mold, an electronic device and a storage medium. BACKGROUND

[0002] Composite insulators are widely used in high-voltage and extra-high-voltage transmission line insulation, and the product quality is crucial to the safe and stable operation of the power system. The existing composite insulator umbrella skirt sheath processing methods mainly include bonding technology, molding technology and injection molding technology. The bonding technology and the molding technology have complex processes, the product quality depends on the experience of workers, the degree of automation is not high, and the production efficiency is low. The injection molding technology has the advantages of simple process and high degree of automation, but it is only used in the industrial production of simple rod-type insulators. For double-umbrella, triple-umbrella and multi-umbrella insulators with complex shapes, there is currently a lack of efficient and reasonable glue injection port design method. Unreasonable design of the glue injection port position leads to problems such as bubbles, uneven glue injection, glue deficiency and umbrella core damage in the composite insulator products obtained by using the injection molding technology, resulting in low yield and difficulty in meeting the actual industrial production requirements. The traditional glue injection port design method of the composite insulator umbrella skirt sheath injection molding mold mainly relies on the experience of designers, and needs repeated design, trial production and modification, which consumes a lot of resources and time, and it is difficult to obtain a globally optimal solution.

[0003] Therefore, it is necessary to develop a global optimization design method for the glue injection port of the composite insulator umbrella skirt sheath injection molding mold, which can minimize the optimization design cost and cycle and improve the product quality. SUMMARY

[0004] The application aims to provide a global optimization design method for the glue injection port of the composite insulator umbrella skirt sheath injection molding mold, a device, an electronic device and a storage medium.

[0005] A global optimization design method for the glue injection port of the composite insulator umbrella skirt sheath injection molding mold comprises the following steps:

[0006] Based on the insulator core, the mold surface is translated along the normal direction perpendicular to the insulator core, the translation distance is taken as the glue injection thickness, and a physical model of the composite insulator umbrella skirt sheath injection molding mold is established;

[0007] A two-side symmetric glue injection mode is adopted, the number of glue injection ports is determined according to the number of umbrella skirts, and the number of single-side glue injection ports is equal to the number of umbrella skirts; the glue injection port position is parameterized, and the value range of the glue injection port position parameter is determined;

[0008] An optimal Latin hypercube sampling method is used to sample in the value range of the glue injection port position parameter, and a glue injection port position sample is obtained;

[0009] According to the physical parameters of the rubber viscosity model, the injection port position samples are simulated and calculated based on a numerical method, the boundary conditions of the injection process are determined, and a sample library is established;

[0010] A mapping model of the injection port position parameters and the injection result parameters is established based on a fourth-order polynomial response surface model, the model accuracy is evaluated by using a root mean square relative error, if the model accuracy does not meet the requirements, the number of samples is increased to re-establish the mapping model and re-evaluate, until the model accuracy meets the requirements;

[0011] The injection port position is optimized based on the second generation non-dominated sorting genetic algorithm with the boundary conditions of the injection process as the optimization target; the injection pipe is added based on the optimized injection port position, the model containing the injection pipe is simulated and calculated, and the pipe arrangement is adjusted according to the time of the rubber in the pipe reaching the injection port to ensure that the time of the rubber reaching the injection port is consistent, and the injection molding mold design of the composite insulator shed sheath is completed.

[0012] Further, the specific process of parameterizing the injection port position is as follows:

[0013] On the rotating projection plane of the composite insulator shed sheath injection molding mold, the highest point of the outer contour line is taken as the coordinate origin, a one-dimensional coordinate system is established along the arc length direction of the mold contour line, and the center coordinate position of the circular injection port is marked as the injection port position, then the arc length from the center coordinate position of the circular injection port to the coordinate origin is the injection port position parameter.

[0014] Further, the value range of the injection port position parameter is not more than 1 / (N-1) of the total arc length of the mold outer contour line, where N is the number of injection ports.

[0015] Further, the number of samples sampled in the value range of the injection port position parameter is not less than (N+1) (N+2) / 2+2N, where N is the number of injection ports.

[0016] Further, the physical parameters include injection rate, injection temperature, and mold temperature; the boundary conditions include maximum injection pressure, maximum clamp force, and time difference between upper and lower umbrella filling completion.

[0017] Further, the criterion for the model accuracy of the mapping model of the injection port position parameters and the injection result parameters to meet the requirements is that the root mean square relative error between the predicted value and the true value is less than 0.2.

[0018] Further, the injection pipe is arranged in a total-branch manner, and the branch pipe lengths are ensured to be consistent.

[0019] A composite insulator shed sheath injection molding mold injection port global optimization design device, comprising:

[0020] The model establishing module is used for establishing a physical model of the injection molding mold for the composite insulator shed sheath based on the insulator core, translating as a mold surface along a normal direction perpendicular to the insulator core, and taking a translation distance as a glue injection thickness.

[0021] The parameter determining module is used for determining a number of glue injection ports according to a number of sheds in a two-side symmetric glue injection mode, wherein a number of single-side glue injection ports is equal to the number of sheds; and parameterizing a glue injection port position to determine a value range of the glue injection port position parameter.

[0022] The position sampling module is used for sampling in the value range of the glue injection port position parameter by using an optimal Latin hypercube sampling method to obtain a glue injection port position sample.

[0023] The simulation calculation module is used for performing simulation calculation on the glue injection port position sample based on a numerical method according to physical parameters of a rubber viscosity model, determining a boundary condition of a glue injection process, and establishing a sample library.

[0024] The precision evaluation module is used for establishing a mapping model of the glue injection port position parameter and a glue injection result parameter based on a fourth-order polynomial response surface model, evaluating model precision by using a root mean square relative error, increasing a sample number to reestablish the mapping model and reevaluate if the model precision does not meet a requirement, and until the model precision meets the requirement.

[0025] The optimization design module is used for performing automatic optimization on the glue injection port position based on a second-generation non-dominated sorting genetic algorithm with the boundary condition of the glue injection process as an optimization target, adding a glue injection pipeline based on the optimized glue injection port position, performing simulation calculation on a model containing the glue injection pipeline, adjusting a pipeline arrangement according to a glue material reaching time of the pipeline to the glue injection port to ensure that the glue material reaches the glue injection port at a same time, and completing the composite insulator shed sheath injection molding mold design.

[0026] An electronic device includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and the processor implements each step in the composite insulator shed sheath injection molding mold glue injection port global optimization design method when executing the computer program.

[0027] A storage medium has a computer program stored thereon, and each step in the composite insulator shed sheath injection molding mold glue injection port global optimization design method is implemented when the computer program is executed by a processor.

[0028] The present application has the following advantages:

[0029] 1. The method fully considers the actual glue injection process, glue material parameters, and product aesthetics, and is closer to the actual production.

[0030] 2. The parameterization method for the injection port location of this invention simplifies the three-dimensional spatial problem of injection port location into a one-dimensional problem, significantly reducing design variables, thereby reducing the number of samples and shortening the time for establishing a sample library. By establishing a sample library, a mapping model between injection port location parameters and injection result parameters (maximum clamping force, maximum injection pressure, and time difference between injection completion on the upper and lower surfaces) is obtained, which can greatly reduce the number of numerical simulations, thereby significantly accelerating the optimization design process of the injection port location, shortening the design cycle, and saving design costs.

[0031] 3. Compared with traditional methods, the design method of the present invention relies less on design experience and can obtain globally optimal design parameters. It has strong versatility and can be used for complex insulator types such as double-umbrella, triple-umbrella, and multi-umbrella insulators. Attached Figure Description

[0032] Figure 1 This is a flowchart illustrating the global optimization design method for the injection mold gate of the composite insulator skirt sheath of the present invention;

[0033] Figure 2 A schematic diagram of the insulator core and the glue injection area;

[0034] Figure 3 This is a schematic diagram of the arc-length coordinate system;

[0035] Figure 4 This is a sectional view of the glue injection pipe layout;

[0036] Figure 5 This is a sectional view of the original adhesive injection pipe layout.

[0037] Figure 6 A schematic diagram of a device for globally optimizing the injection port design of an injection mold for composite insulator skirt sheaths;

[0038] Figure 7 This is a schematic diagram of the structure of the electronic device of the present invention. Detailed Implementation

[0039] This invention proposes a global optimization design method for the injection port of the injection mold for composite insulator skirt sheaths. The invention will be further described below with reference to the accompanying drawings and specific embodiments.

[0040] Figure 1 This is a flowchart illustrating the global optimization design method for the injection mold gate of the composite insulator skirt sheath of the present invention. Taking a three-umbrella composite insulator as an example, it includes the following steps:

[0041] Step 1, establish a physical model of the sheath injection molding mold of the umbrella skirt of a certain three-umbrella composite insulator: take the head 1 of the three-umbrella insulator core as the positioning reference, translate a distance along the normal direction of the insulator core according to the standard size of the insulator core 2 (without considering the machining error), as the mold surface, the distance of translation is the glue injection thickness, and the glue injection area, i.e. the orange part in the figure, is obtained, as shown in Figure 2

[0042] Step 2, determine the number of glue injection ports: the three-umbrella composite insulator has three umbrella skirts 3, and the number of single-sided glue injection ports is equal to the number of umbrella skirts, so the number of single-sided glue injection ports is determined to be 3, i.e. the design variable is 3.

[0043] Step 3, parameterize the glue injection port position: the three-umbrella composite insulator is a typical rotary body, and the glue injection port position is symmetrically distributed, so only the positions of the three glue injection ports need to be designed on the rotational projection plane of the mold. As shown in Figure 3 , take the highest point of the mold contour line as the coordinate origin, and establish a one-dimensional coordinate system along the arc length direction of the mold contour line, i.e. the black solid line part in the figure. The glue injection port is circular, and the center position of the circle is marked as three glue injection port positions x1, x2, x3, then the glue injection port position can be uniquely determined by its arc length to the coordinate origin.

[0044] Step 4, determine the parameter value range of the glue injection port position: if the glue injection port is arranged inside the insulator, it will increase the glue injection pipeline and waste glue, and it is not conducive to the cleaning of residual glue; if the glue injection port is arranged on the upper surface of the upper umbrella of the insulator, it is easy to leave obvious marks on the surface of the insulator when removing the glue, which is not conducive to the appearance of the finished composite insulator; considering that the glue injection port position is not easy to be too concentrated, avoiding the generation of a large number of air holes and weld marks at the same time, the injection efficiency cannot be significantly improved, and the value range of any glue injection port is not more than 1 / (N-1)=1 / 2 of the total arc length of the mold contour line, where N is the number of design variables.

[0045] Step 5, sampling: based on the optimal Latin hypercube sampling algorithm (Optimal Latin Hypercube Sampling, OLHS), sampling is performed within the parameter value range to obtain 32 sample points that are uniformly distributed in space and have less correlation, meeting the requirement that the sampling number of the fourth-order polynomial response surface model is greater than (N+1) (N+2) / 2+2N =16, where N is the number of design variables.

[0046] Step 6, establish a sample library: determine the boundary conditions of the glue injection process: set the glue injection rate to 9.06 cm 3 ​The viscosity model and other physical properties of the silicone rubber are obtained by measuring the viscosity of the rubber at different temperatures and different shear rates using a rubber processing analyzer based on a simplified reaction viscosity model, since the rubber does not undergo vulcanization reaction during the filling process. The simplified reaction viscosity model is shown in the formula:

[0047]

[0048] In the formula, η is the melt viscosity, is the shear rate, T is the thermodynamic temperature, T b is the reference temperature, is the fluid shear stress, n is the non-Newtonian index, and B is a constant.

[0049] Based on the numerical method, simulation calculation is performed on all samples to obtain the values of three evaluation indexes, i.e., the maximum injection pressure (F max ), the maximum clamp force (P max ), and the time difference (Δt) between the upper and lower umbrella filling completion, to obtain the sample library.

[0050] Step 7: Establishing the mapping model of the glue injection port position parameters (x1, x2, x3) and the glue injection result parameters (F max , P max , Δt): Based on the fourth-order polynomial response surface model, the mapping model of the glue injection port position parameters and the glue injection result parameters is established with high accuracy. The formula is as follows:

[0051]

[0052] In the formula, Y is the response value, is the input variable, is the polynomial coefficient.

[0053] The root mean square error (RMSE) is used to evaluate the model accuracy. The closer the root mean square error is to 0, the more consistent the comparison between the predicted value and the calculated value, and the higher the credibility of the model. When the root mean square error between the predicted value and the true value is less than 0.2, it is considered that the model accuracy meets the requirements, otherwise the number of samples is increased and the model is re-established. The formula for calculating the root mean square relative error is as follows:

[0054]

[0055] In the formula, k is the number of samples, y i is the actual value of the sample, and i is the predicted value.

[0056] Step 8, injection port position optimization: taking the time difference of filling the umbrella from top to bottom, the maximum locking force and the minimum maximum injection pressure as the optimization objectives, the second generation non-dominated sorting genetic algorithm (NSGA-II algorithm) is used to automatically optimize the obtained four-order response surface model, to realize multi-objective optimization and obtain a suitable optimization scheme. The optimization scheme is verified by numerical simulation.

[0057] Step 9, injection pipe design: based on the injection port position of the optimization scheme, injection pipe 4 is added. As shown in Figure 4 , the injection pipe 4 is arranged in a total-subway manner, and the length of the sub-pipe 5 is as consistent as possible. The simulation calculation is performed on the model, and the injection effect such as air pocket, weld mark and pressure distribution is preferentially considered, and according to the time of the material in the pipe reaching the injection port, the pipe arrangement is adjusted to ensure that the time of the material reaching the injection port is consistent, so that the injection molding mold scheme of the composite insulator umbrella skirt sheath is obtained. The injection pipe arrangement sectional view of the original scheme compared with it is shown in Figure 5 .

[0058] Figure 6 The structure diagram of the device for global optimization design of the injection port of the composite insulator umbrella skirt sheath injection molding mold is shown in the figure, which comprises:

[0059] The model establishing module is used to establish a physical model of the composite insulator umbrella skirt sheath injection molding mold based on the insulator core, translating along the outer normal direction of the insulator surface as the mold surface, and taking the translation distance as the injection thickness;

[0060] The parameter determining module is used to determine the number of injection ports according to the number of umbrella skirts by adopting the two-side symmetric injection method, wherein the number of unilateral injection ports is equal to the number of umbrella skirts; the injection port position parameters are parameterized to determine the value range of the injection port position parameters;

[0061] The position sampling module is used to sample in the value range of the injection port position parameters by using the optimal Latin hypercube sampling method to obtain the injection port position sample;

[0062] The simulation calculation module is used to simulate the injection port position sample based on the numerical method according to the physical parameters of the rubber viscosity model, to determine the boundary conditions of the injection process, and to establish a sample library;

[0063] The precision evaluation module is used to establish a mapping model of the injection port position parameters and the injection result parameters based on the fourth-order polynomial response surface model, to evaluate the model precision by using the root mean square relative error, and if the model precision does not meet the requirements, to increase the number of samples to re-establish the mapping model and evaluate again until the model precision meets the requirements;

[0064] An optimization design module is used to take the boundary condition of the glue injection process as an optimization target, to automatically seek optimization based on the second generation non-dominated sorting genetic algorithm, and to optimize the glue injection port position; a glue injection pipeline is added based on the optimized glue injection port position, a model containing the glue injection pipeline is simulated and calculated, the pipeline arrangement is adjusted according to the glue material reaching time of the glue injection port in the pipeline, the glue material reaching time of the glue injection port is ensured to be consistent, and the composite insulator umbrella skirt sheath injection forming mold design is completed.

[0065] The embodiment determines the glue injection port positions x1, x2 and x3, the original scheme and the determined value of the optimization scheme of the embodiment are shown in Table 1, the filling time is the same, and is 186.5s, so that the two are compared, under the condition that the filling time is unchanged, the maximum injection pressure and the mold clamping force are significantly reduced. The comparison results are shown in Table 2.

[0066] Table 1

[0067]

[0068] Table 2

[0069]

[0070] The embodiment also includes an electronic device and a storage medium. Figure 7 The figure is a structural schematic diagram of the electronic device. The electronic device includes a memory, a processor and a computer program stored on the memory and executable on the processor, and each step in the composite insulator umbrella skirt sheath injection forming mold glue injection port global optimization design method is realized when the processor executes the computer program. A storage medium has a computer program stored thereon, and each step in the composite insulator umbrella skirt sheath injection forming mold glue injection port global optimization design method is realized when the computer program is executed by the processor.

[0071] The embodiment can greatly reduce the number of numerical simulation times, and then significantly accelerate the optimization design process of the glue injection port position, shorten the design cycle and save the design cost. Compared with the traditional method, under the condition that the filling time is unchanged, the maximum injection pressure and the mold clamping force can be significantly reduced. The design method of the embodiment has less dependence on design experience, and can obtain globally optimal design parameters, and has strong universality.

[0072] Those skilled in the art will appreciate that embodiments of the present application can be readily used as software, hardware, or a combination of software and hardware. In one embodiment, the present application can be implemented in software and can be stored on a computer readable medium, which can include random access memory (RAM), read only memory (ROM), magnetic disk or optical disk, or the like. The software implementation can comprise one or more computer program components embodied on one or more computer readable medium(s). The computer readable medium can be resident within the computing device or external to the computing device. The computer program components can also be downloaded into the computing device from an external computer or external storage device.

[0073] The present application is described in reference to the drawings, which are as follows: Figure 1 Figure 1

[0074] Figure 1 Figure 1

[0075] Figure 1 Figure 1

[0076] ​​​​​​​​​

[0077] Obviously, numerous modifications and variations of the present application are possible in light of the above teachings. It is therefore to be understood that within the scope of the appended claims and their equivalents, the application can be practiced otherwise than as specifically described.

Claims

1. A method for global optimization design of the injection port of a composite insulator skirt sheath injection mold, characterized in that, Includes the following steps: Based on the insulator core, the surface of the mold is translated along the direction perpendicular to the normal of the insulator core, and the distance of translation is used as the injection thickness to establish a physical model of the injection molding mold for the composite insulator skirt sheath. A symmetrical glue injection method is adopted on both sides. The number of glue injection ports is determined according to the number of umbrella skirts, where the number of glue injection ports on one side is equal to the number of umbrella skirts. The position of the glue injection ports is parameterized, and the range of values ​​for the glue injection port position parameters is determined. The specific process of parameterizing the glue injection port position is as follows: On the rotating projection surface of the injection molding mold for the composite insulator skirt sheath, the highest point of the outer contour line is taken as the origin of the coordinate system. A one-dimensional coordinate system is established along the arc length direction of the mold contour line. The position of the injection port is marked by the coordinate position of the center of the circular injection port. The arc length from this center coordinate position to the origin of the coordinate system is the injection port position parameter. Using the optimal Latin hypercube sampling method, sampling is performed within the range of values ​​for the injection port position parameters to obtain injection port position samples; the range of values ​​for the injection port position parameters does not exceed 1 / (N-1) of the total arc length of the mold outer contour; the number of samples taken within the range of values ​​for the injection port position parameters is not less than (N+1)(N+2) / 2+2N, where N is the number of injection ports, to meet the sampling number requirements of the fourth-order polynomial response surface model; Based on the physical parameters of the rubber viscosity model, numerical methods are used to simulate and calculate the injection port location samples to determine the boundary conditions of the injection process and establish a sample library. The physical parameters include injection rate, injection temperature, and mold temperature. The boundary conditions include maximum injection pressure, maximum clamping force, and time difference between the completion of upper and lower umbrella filling. A mapping model between the nozzle position parameters and the dispensing result parameters is established based on a fourth-order polynomial response surface model. The root mean square relative error is used to evaluate the model accuracy. If the model accuracy does not meet the requirements, the number of samples is increased, the mapping model is re-established, and the model is evaluated again until the model accuracy meets the requirements. The criterion for the model accuracy of the mapping model between the nozzle position parameters and the dispensing result parameters to meet the requirements is that the root mean square relative error between the predicted value and the true value is less than 0.

2. The formula for the fourth-order polynomial response surface model is: Where Y is the response value, X = (x1…x i x j …x n ) are the input variables, β0, β i ,β n+i ,β 2n+i ,β 3n+i ,β ij These are the polynomial coefficients; Using the boundary conditions of the glue injection process as the optimization objective, an automatic optimization method based on the second-generation non-dominated sorting genetic algorithm is used to optimize the position of the glue injection port. Based on the optimized position of the glue injection port, glue injection pipes are added, and simulation calculations are performed on the model containing the glue injection pipes. According to the time it takes for the glue in the glue injection pipes to reach the glue injection port, the arrangement of the glue injection pipes is adjusted to ensure that the time for the glue to reach the glue injection port is consistent, thus completing the design of the injection molding mold for the composite insulator skirt sheath. The glue injection pipes are arranged in a main-to-branch manner, and the length of the branch pipes is ensured to be consistent.

2. A device for globally optimized design of the injection port of a composite insulator skirt sheath injection mold, characterized in that, include: The model building module is used to establish a physical model of the injection molding mold for composite insulator skirt sheaths by translating along the direction perpendicular to the normal of the insulator core as the mold surface and using the translation distance as the injection thickness. The parameter determination module is used to determine the number of injection ports based on the number of umbrella skirts when using a symmetrical injection method on both sides. The number of injection ports on one side is equal to the number of umbrella skirts. The injection port position is parameterized to determine the range of values ​​for the injection port position parameter. The specific process of parameterizing the injection port position is as follows: On the rotating projection surface of the composite insulator umbrella skirt sheath injection molding mold, the highest point of the outer contour line is taken as the origin of the coordinate system. A one-dimensional coordinate system is established along the arc length direction of the mold contour line. The injection port position is marked by the coordinate position of the center of the circular injection port. The arc length from this center coordinate position to the origin of the coordinate system is the injection port position parameter. The position sampling module is used to sample within the range of values ​​of the injection port position parameters using the optimal Latin hypercube sampling method to obtain injection port position samples. The range of values ​​of the injection port position parameters does not exceed 1 / (N-1) of the total arc length of the mold outer contour line. The number of samples sampled within the range of values ​​of the injection port position parameters is not less than (N+1)(N+2) / 2+2N, where N is the number of injection ports, to meet the sampling number requirements of the fourth-order polynomial response surface model. The simulation calculation module is used to perform simulation calculations on samples at the injection port location based on the physical parameters of the rubber viscosity model and numerical methods, to determine the boundary conditions of the injection process and establish a sample library; the physical parameters include injection rate, injection temperature, and mold temperature; the boundary conditions include maximum injection pressure, maximum clamping force, and time difference between the completion of upper and lower umbrella filling; The accuracy evaluation module is used to establish a mapping model between the dispensing nozzle position parameters and the dispensing result parameters based on a fourth-order polynomial response surface model. The root mean square relative error is used to evaluate the model accuracy. If the model accuracy does not meet the requirements, the number of samples is increased, the mapping model is re-established, and the evaluation is repeated until the model accuracy meets the requirements. The criterion for the model accuracy of the mapping model between the dispensing nozzle position parameters and the dispensing result parameters to meet the requirements is that the root mean square relative error between the predicted value and the true value is less than 0.

2. The formula for the fourth-order polynomial response surface model is: Where Y is the response value, X = (x1…x i ,x j …x n ) are the input variables, β0, β i ,β n+i ,β 2n+i ,β 3n+i ,β ij These are the polynomial coefficients; The optimization design module is used to optimize the injection port position by automatically searching for the boundary conditions of the injection process based on the second-generation non-dominated sorting genetic algorithm. Based on the optimized injection port position, injection pipes are added, and the model containing the injection pipes is simulated. The pipe layout is adjusted according to the time it takes for the adhesive to reach the injection port, ensuring consistent arrival times. This completes the design of the injection molding mold for the composite insulator skirt sheath. The injection pipes are arranged in a main-to-branch configuration, ensuring consistent branch pipe lengths.

3. An electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements each step of the global optimization design method for the injection port of the composite insulator skirt sheath injection molding die as described in claim 1.

4. A storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements each step of the global optimization design method for the injection port of the composite insulator skirt sheath injection molding die as described in claim 1.

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