Global optimization design method and device for glue injection port of composite insulator umbrella skirt sheath injection molding mold, electronic equipment and storage medium

Abstract

The invention discloses a global optimization design method and device for a glue injection opening of a composite insulator umbrella skirt sheath injection molding mold, electronic equipment and a storage medium, and belongs to the technical field of mold optimization design. Establishing a composite insulator umbrella skirt sheath injection molding mold physical model; determining the number of glue injection ports; the position of the glue injection port is parameterized, and the value range of the position parameters of the glue injection port is determined; sampling is carried out within the value range of the glue injection port position parameters; determining boundary conditions of a glue injection process, and establishing a sample library; establishing a mapping model of glue injection port position parameters and glue injection result parameters, and evaluating model precision; the position of a glue injection opening is optimized; simulation calculation is conducted on the model containing the glue injection pipeline, pipeline arrangement is adjusted according to the time when the glue in the pipeline reaches the glue injection opening, and it is guaranteed that the time when the glue reaches the glue injection opening is consistent. According to the method, the number of numerical simulation times can be greatly reduced, then the optimal design process of the glue injection opening position is remarkably accelerated, the design period is shortened, and the design cost is saved.

Description

Technical Field

[0001] The present invention relates to the technical field of mold optimization design, and in particular to a global optimization design method, device, electronic equipment and storage medium for a glue injection port of an injection molding mold for a composite insulator shed sheath. Background Art

[0002] Composite insulators are widely used in high-voltage and ultra-high-voltage transmission line insulation, and their product quality is crucial to the safe and stable operation of the power system. The existing processing methods for composite insulator shed sheaths mainly include: bonding process, molding process and injection molding process. Among them, the bonding process and molding process are complicated, 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 process has the advantages of simple process and high degree of automation, but it is only industrialized in the processing 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 injection port design methods. The unreasonable design of the injection port position leads to problems such as bubbles, uneven injection, lack of glue, and umbrella core damage in the composite insulator products obtained by the injection molding process. The yield is not high and it is difficult to meet the actual industrial production needs. The traditional composite insulator shed sheath injection molding mold injection port design method mainly relies on the designer's experience, requires repeated design, trial production, and modification, requires a lot of resources and time, and it is difficult to obtain the global optimal solution.

[0003] Therefore, it is necessary to develop a global optimization design method for the injection port of the composite insulator shed sheath injection molding mold to minimize the optimization design cost and cycle and improve product quality. Summary of the invention

[0004] The purpose of the invention is to provide a global optimization design method, device, electronic equipment and storage medium for a glue injection port of an injection molding mold for a composite insulator shed sheath.

[0005] A global optimization design method for a glue injection port of an injection molding mold for a composite insulator shed sheath comprises the following steps: Based on the insulator core, the translation along the direction perpendicular to the normal line of the insulator core is used as the mold surface, and the translation distance is used as the injection thickness to establish the physical model of the composite insulator shed sheath injection molding mold. The glue injection method is symmetrical on both sides, and the number of glue injection ports is determined according to the number of sheds, wherein the number of glue injection ports on one side is equal to the number of sheds; the position of the glue injection port is parameterized to determine the value range of the parameter of the position of the glue injection port; Using the optimal Latin hypercube sampling method, sampling is performed within the value range of the injection port position parameter to obtain the injection port position sample; According to the physical parameters of the rubber viscosity model, the injection port position samples are simulated and calculated based on the numerical method to determine the boundary conditions of the injection process and establish a sample library; A mapping model between injection port position parameters and injection result parameters is established based on the 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 to re-establish the mapping model and evaluate again until the model accuracy meets the requirements. Taking the boundary conditions of the injection process as the optimization target, the second-generation non-dominated sorting genetic algorithm is used for automatic optimization to optimize the injection port position; based on the optimized injection port position, the injection pipe is added, and the model containing the injection pipe is simulated and calculated. According to the time when the rubber in the pipe arrives at the injection port, the pipe layout is adjusted to ensure that the time when the rubber arrives at the injection port is consistent, and the design of the injection molding mold for the composite insulator shed sheath is completed.

[0006] Furthermore, the specific process of parameterization of the injection port position is as follows: On the rotating projection surface of the composite insulator shed sheath injection molding mold, take the highest point of the outer contour line as the coordinate origin, establish a one-dimensional coordinate system along the arc length direction of the mold contour line, and mark the injection port position with the center coordinate position of the circular injection port. The arc length from the center coordinate position to the coordinate origin is the injection port position parameter.

[0007] Furthermore, the value range of the injection port position parameter does not exceed 1 / (N-1) of the total arc length of the mold outer contour line, where N is the number of injection ports.

[0008] Furthermore, the number of samples sampled within 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.

[0009] Furthermore, 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 upper and lower umbrellas in completing filling.

[0010] Furthermore, the criterion for the model accuracy of the mapping model between 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.

[0011] Furthermore, the glue injection pipeline is arranged in a master-branch manner, and the lengths of the branch pipes are ensured to be consistent.

[0012] A device for global optimization design of a glue injection port of a composite insulator shed sheath injection molding mold, comprising: The model building module is used to build a physical model of the composite insulator shed sheath injection molding mold based on the insulator core body, with the translation in a direction perpendicular to the normal line of the insulator core body as the mold surface and the translation distance as the injection thickness; The parameter determination module is used to adopt a bilaterally symmetrical glue injection method, determine the number of glue injection ports according to the number of sheds, wherein the number of glue injection ports on one side is equal to the number of sheds; parameterize the positions of the glue injection ports, and determine the value range of the parameters of the positions of the glue injection ports; A position sampling module is used to obtain a sample of the injection port position by sampling within the value range of the injection port position parameter using the optimal Latin hypercube sampling method; The simulation calculation module is used to simulate and calculate the injection port position samples based on the physical parameters of the rubber viscosity model and the numerical method, determine the boundary conditions of the injection process, and establish a sample library; The accuracy evaluation module is used to establish a mapping model between the injection port position parameters and the injection result parameters based on the fourth-order polynomial response surface model, and use the root mean square relative error to evaluate the model accuracy. If the model accuracy does not meet the requirements, the number of samples is increased to re-establish the mapping model and evaluate again until the model accuracy meets the requirements; The optimization design module is used to optimize the injection port position by automatically searching for the boundary conditions of the injection process as the optimization target based on the second-generation non-dominated sorting genetic algorithm; the injection pipe is added based on the optimized injection port position, and the model containing the injection pipe is simulated and calculated. According to the time when the rubber in the pipe reaches the injection port, the pipe layout is adjusted to ensure that the time when the rubber reaches the injection port is consistent, and the design of the injection molding mold for the composite insulator shed sheath is completed.

[0013] An electronic device comprises a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, each step of a global optimization design method for a glue injection port of an injection molding mold for a composite insulator shed sheath is implemented.

[0014] A storage medium stores a computer program, which, when executed by a processor, implements each step of a global optimization design method for a glue injection port of an injection molding mold for a composite insulator shed sheath.

[0015] The beneficial effects of the present invention are: 1. The method of the present invention fully considers the actual injection process, the parameters of the adhesive material and the aesthetics of the product, and is closer to actual production.

[0016] 2. The parameterization method of the injection port position of the present invention simplifies the three-dimensional problem of the injection port position into a one-dimensional problem, significantly reducing the design variables, thereby reducing the number of samples and shortening the time to establish a sample library. By establishing a sample library, a mapping model of the injection port position parameters and the injection result parameters (maximum clamping force, maximum injection pressure, and time difference between the upper and lower surfaces for injection completion) is obtained, which can greatly reduce the number of numerical simulations, thereby significantly accelerating the optimization design process of the injection port position, shortening the design cycle, and saving design costs.

[0017] 3. Compared with the traditional method, the design method of the present invention is less dependent on design experience, and can obtain the globally optimal design parameters. It has strong versatility and can be used for complex insulator types such as double umbrellas, triple umbrellas, and multiple umbrellas. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a flow chart of the global optimization design method of the injection port of the composite insulator shed sheath injection molding mold of the present invention; Figure 2 It is a schematic diagram of the insulator core and the glue injection area; Figure 3 is a schematic diagram of the arc length coordinate system; Figure 4 It is a cross-sectional view of the glue injection pipeline arrangement; Figure 5 This is a cross-sectional view of the original solution for the glue injection pipeline arrangement; Figure 6 It is a structural schematic diagram of a device for global optimization design of the injection port of a composite insulator shed sheath injection molding mold; Figure 7 It is a schematic structural diagram of the electronic device of the present invention. DETAILED DESCRIPTION

[0019] The present invention provides a global optimization design method for a glue injection port of an injection molding die for a composite insulator shed sheath, which is further described below in conjunction with the accompanying drawings and specific embodiments.

[0020] Figure 1 This is a flow chart of a global optimization design method for a glue injection port of an injection molding mold for a composite insulator shed sheath according to the present invention, taking a three-shed type composite insulator as an example, comprising the following steps: Step 1: Establish a physical model of a three-umbrella composite insulator shed sheath injection molding mold: Take the column head 1 of the three-umbrella insulator core as the positioning reference, and according to the standard size of the insulator core 2 (without considering the processing error), translate a distance perpendicular to the normal line of the insulator core as the mold surface. The translation distance is the injection thickness, and the injection area is obtained, that is, the orange part in the figure, as shown in Figure 2 shown.

[0021] Step 2, determine the number of injection ports: the three-shed type composite insulator has three sheds 3, and the number of injection ports on one side is equal to the number of sheds. Therefore, the number of injection ports on one side is determined to be 3, that is, the design variable is 3.

[0022] Step 3: Parameterization of injection port position: The three-shaft composite insulator is a typical rotating body, and the injection ports are symmetrically distributed. Therefore, it is only necessary to design the positions of the three injection ports on the rotating projection surface of the mold. Figure 3 As shown in the figure, the highest point of the mold outer contour is used as the coordinate origin, and a one-dimensional coordinate system is established along the arc length direction of the mold contour, which is the black solid line in the figure. The injection port is a circle, and the three injection port positions x1, x2, and x3 are marked at the center of the circle. The injection port position can be uniquely determined by the arc length from the origin of the coordinate.

[0023] Step 4, determine the value range of the injection port position parameter: if the injection port is arranged on the inside of the insulator, the injection pipeline will be extended, which will waste glue and be unfavorable for cleaning the residual glue; if the injection port is arranged on the upper surface of the insulator, it is easy to leave obvious traces on the surface of the insulator when removing the glue, which is not conducive to the aesthetics of the finished composite insulator; considering that the position distribution of the injection port should not be too concentrated, to avoid the generation of a large number of cavitations and welding marks while the injection efficiency cannot be significantly improved, the value range of any injection port shall not exceed 1 / (N-1)=1 / 2 of the total arc length of the outer contour line of the mold, where N is the number of design variables.

[0024] Step 5, sampling: Based on the optimal Latin hypercube sampling algorithm (OLHS), sampling is performed within the parameter value range to obtain 32 sample points that are evenly distributed in space and have low 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.

[0025] Step 6: Establish sample library: Determine the boundary conditions of the injection process: Set the injection rate to 9.06 cm 3 / s, melt temperature of 50℃, mold surface temperature of 170℃, silicone rubber viscosity model and other physical properties. Since the rubber hardly undergoes vulcanization reaction during the filling process, the viscosity under different temperatures and shear rates can be measured by a rubber processing analyzer based on a simplified reaction viscosity model, and the viscosity model can be obtained by data fitting. The simplified reaction viscosity model is shown in the formula:

[0026] Where 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 exponent, and B is a constant.

[0027] All samples were simulated and calculated based on numerical methods to obtain the maximum injection pressure (F max )、Maximum clamping force(P max ), the time difference (Δt) between the upper and lower parachute filling completion, and the sample library is obtained.

[0028] Step 7: Establish the injection port position parameters (x1, x2, x3) and the injection result parameters (F max , P max , Δt): Based on the fourth-order polynomial response surface model, a mapping model between the injection port position parameters and the injection result parameters is established with high accuracy. The formula is:

[0029] In the formula, Y is the response value, is the input variable, are the polynomial coefficients.

[0030] The root mean square error (RMSE) is used to evaluate the accuracy of the model. The closer the root mean square error is to 0, the more consistent the comparison between the predicted value and the calculated value is, and the higher the credibility of the model is. When the root mean square error between the predicted value and the true value is less than 0.2, it is considered to meet the model accuracy requirements. Otherwise, the number of samples is increased and the model is rebuilt. The formula for calculating the root mean square error is:

[0031] In the formula, k is the number of samples, y is i is the actual sample value, and i is the predicted value.

[0032] Step 8, Optimization of injection port position: Taking the minimization of the time difference between the upper and lower umbrella filling completion, the maximum clamping force and the maximum injection pressure as the optimization goal, the second-generation non-dominated sorting genetic algorithm (NSGA-II algorithm) is used to automatically optimize the obtained fourth-order response surface model, realize multi-objective optimization and obtain a suitable optimization solution. The optimization solution is verified by numerical simulation.

[0033] Step 9, glue injection pipeline design: Based on the glue injection port position of the optimization solution, add glue injection pipeline 4. Figure 4As shown, the injection pipe 4 is arranged in a general-divided manner, and the length of the branch pipe 5 is kept consistent as much as possible. The model is simulated and calculated, and the injection effects such as cavitation, weld marks, and pressure distribution are given priority. At the same time, the pipe arrangement is adjusted according to the time when the rubber in the pipe reaches the injection port to ensure that the time when the rubber reaches the injection port is consistent, and the composite insulator shed sheath injection molding mold solution can be obtained. The cross-sectional view of the injection pipe arrangement of the original solution is shown in Figure 5 .

[0034] Figure 6 The schematic diagram of the structure of the device for global optimization design of the injection port of the composite insulator shed sheath injection molding mold includes: The model building module is used to build a physical model of the composite insulator shed sheath injection molding mold based on the insulator core body, with the outer normal direction of the insulator surface translated as the mold surface and the translation distance as the injection thickness; The parameter determination module is used to adopt a bilaterally symmetrical glue injection method, determine the number of glue injection ports according to the number of sheds, wherein the number of glue injection ports on one side is equal to the number of sheds; parameterize the positions of the glue injection ports, and determine the value range of the parameters of the positions of the glue injection ports; A position sampling module is used to obtain a sample of the injection port position by sampling within the value range of the injection port position parameter using the optimal Latin hypercube sampling method; The simulation calculation module is used to simulate and calculate the injection port position samples based on the physical parameters of the rubber viscosity model and the numerical method, determine the boundary conditions of the injection process, and establish a sample library; The accuracy evaluation module is used to establish a mapping model between the injection port position parameters and the injection result parameters based on the fourth-order polynomial response surface model, and use the root mean square relative error to evaluate the model accuracy. If the model accuracy does not meet the requirements, the number of samples is increased to re-establish the mapping model and evaluate again until the model accuracy meets the requirements; The optimization design module is used to optimize the injection port position by automatically searching for the boundary conditions of the injection process as the optimization target based on the second-generation non-dominated sorting genetic algorithm; the injection pipe is added based on the optimized injection port position, and the model containing the injection pipe is simulated and calculated. According to the time when the rubber in the pipe reaches the injection port, the pipe layout is adjusted to ensure that the time when the rubber reaches the injection port is consistent, and the design of the injection molding mold for the composite insulator shed sheath is completed.

[0035] In this embodiment, the injection port positions x1, x2, and x3 are determined. The determined values ​​of the original scheme and the optimized scheme of the present invention are shown in Table 1, so that the filling time is the same, both 186.5s, so that the two can be compared. Under the condition that the filling time remains unchanged, the maximum injection pressure and clamping force are significantly reduced. The comparison results are shown in Table 2.

[0036] Table 1

[0037] Table 2

[0038] This embodiment also includes an electronic device and a storage medium. Figure 7 The electronic device of the present invention is a schematic diagram of the structure. An electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, each step in the global optimization design method for the injection port of the composite insulator shed sheath injection molding mold is implemented. A storage medium stores a computer program on it. When the computer program is executed by the processor, each step in the global optimization design method for the injection port of the composite insulator shed sheath injection molding mold is implemented.

[0039] The present invention can greatly reduce the number of numerical simulations, thereby significantly accelerating the optimization design process of the injection port position, shortening the design cycle, and saving design costs. Compared with the traditional method, under the condition of unchanged filling time, the maximum injection pressure and clamping force can be significantly reduced. The design method of the present invention is less dependent on design experience, and can obtain the global optimal design parameters, with strong versatility.

[0040] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes. The schemes in the embodiments of the present application may be implemented in various computer languages, for example, object-oriented programming language Java and literal scripting language JavaScript, etc.

[0041] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0042] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0043] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0044] Although the preferred embodiments of the present application have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present application.

[0045] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. A global optimization design method for the injection port of a composite insulator shed sheath injection molding mold, characterized in that: The following steps are involved: Based on the insulator core, the translation along the direction perpendicular to the normal line of the insulator core is used as the mold surface, and the translation distance is used as the injection thickness to establish the physical model of the composite insulator shed sheath injection molding mold. The glue injection method is symmetrical on both sides, and the number of glue injection ports is determined according to the number of sheds, wherein the number of glue injection ports on one side is equal to the number of sheds; the position of the glue injection port is parameterized to determine the value range of the parameter of the position of the glue injection port; Using the optimal Latin hypercube sampling method, sampling is performed within the value range of the injection port position parameter to obtain the injection port position sample; According to the physical parameters of the rubber viscosity model, the injection port position samples are simulated and calculated based on the numerical method to determine the boundary conditions of the injection process and establish a sample library; A mapping model between injection port position parameters and injection result parameters is established based on the 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 to re-establish the mapping model and evaluate again until the model accuracy meets the requirements. Taking the boundary conditions of the injection process as the optimization target, the second-generation non-dominated sorting genetic algorithm is used for automatic optimization to optimize the injection port position; based on the optimized injection port position, the injection pipe is added, and the model containing the injection pipe is simulated and calculated. According to the time when the rubber in the injection pipe arrives at the injection port, the arrangement of the injection pipe is adjusted to ensure that the time when the rubber arrives at the injection port is consistent, and the design of the injection molding mold for the shed sheath of the composite insulator is completed.

2. The global optimization design method for the injection port of the composite insulator shed sheath injection molding mold according to claim 1 is characterized in that: The specific process of parameterizing the injection port position is as follows: On the rotating projection surface of the composite insulator shed sheath injection molding mold, take the highest point of the outer contour line as the coordinate origin, establish a one-dimensional coordinate system along the arc length direction of the mold contour line, and mark the injection port position with the center coordinate position of the circular injection port. The arc length from the center coordinate position to the coordinate origin is the injection port position parameter.

3. The global optimization design method for the injection port of the composite insulator shed sheath injection molding mold according to claim 1 is characterized in that: The value range of the injection port position parameter does not exceed 1 / (N-1) of the total arc length of the mold outer contour line, where N is the number of injection ports.

4. The global optimization design method for the injection port of the composite insulator shed sheath injection molding mold according to claim 1 or 3, characterized in that: The number of samples collected within the value range of the injection port position parameter is no less than (N+1) (N+2) / 2+2N, where N is the number of injection ports.

5. The global optimization design method for the injection port of the composite insulator shed sheath injection molding mold according to claim 1 is characterized in that: 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 upper and lower umbrella filling completion.

6. The global optimization design method for the injection port of the composite insulator shed sheath injection molding mold according to claim 1 is characterized in that: The criterion for the model accuracy of the mapping model between 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.

7. The global optimization design method for the injection port of the composite insulator shed sheath injection molding mold according to claim 1 is characterized in that: The glue injection pipeline is arranged in a main-branch manner, and the lengths of the branch pipes are ensured to be consistent.

8. A global optimization design device for the injection port of a composite insulator shed sheath injection molding mold, characterized in that: include: The model building module is used to build a physical model of the composite insulator shed sheath injection molding mold based on the insulator core body, with the translation in a direction perpendicular to the normal line of the insulator core body as the mold surface and the translation distance as the injection thickness; The parameter determination module is used to adopt a bilaterally symmetrical glue injection method, determine the number of glue injection ports according to the number of sheds, wherein the number of glue injection ports on one side is equal to the number of sheds; parameterize the positions of the glue injection ports, and determine the value range of the parameters of the positions of the glue injection ports; A position sampling module is used to obtain a sample of the injection port position by sampling within the value range of the injection port position parameter using the optimal Latin hypercube sampling method; The simulation calculation module is used to simulate and calculate the injection port position samples based on the physical parameters of the rubber viscosity model and the numerical method, determine the boundary conditions of the injection process, and establish a sample library; The accuracy evaluation module is used to establish a mapping model between the injection port position parameters and the injection result parameters based on the fourth-order polynomial response surface model, and use the root mean square relative error to evaluate the model accuracy. If the model accuracy does not meet the requirements, the number of samples is increased to re-establish the mapping model and evaluate again until the model accuracy meets the requirements; The optimization design module is used to optimize the injection port position by automatically searching for the boundary conditions of the injection process as the optimization target based on the second-generation non-dominated sorting genetic algorithm; the injection pipe is added based on the optimized injection port position, and the model containing the injection pipe is simulated and calculated. According to the time when the rubber in the pipe reaches the injection port, the pipe layout is adjusted to ensure that the time when the rubber reaches the injection port is consistent, and the design of the injection molding mold for the composite insulator shed sheath is completed.

9. 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, each step of the global optimization design method for the injection port of the composite insulator shed sheath injection molding mold as claimed in any one of claims 1 to 7 is implemented.

10. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, each step of the global optimization design method for the injection port of a composite insulator shed sheath injection molding mold as claimed in any one of claims 1 to 7 is implemented.

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