A Method and Device for Determining Production Process Parameters of a Connector Busbar

Abstract

The present invention provides a method and device for determining production process parameters of a connector bus bar. The method includes: obtaining material data and structural data of the connector bus bar; determining a three-dimensional model of the connector bus bar according to the material data and the structural data; determining target boundary conditions of the three-dimensional model according to the material data and the structural data; obtaining production process parameters of the connector bus bar that match the three-dimensional model; obtaining multiple indexes respectively corresponding to multiple groups of production process parameters of the connector bus bar according to the three-dimensional model, the target boundary conditions and the production process parameters of the connector bus bar; and determining target production process parameters of the connector bus bar according to the multiple indexes. The present invention can improve the efficiency of determining optimal production process parameters of the connector bus bar and save the parameter optimization cost.

Description

Technical Field

[0001] The present invention relates to the technical field of injection molding of connector busbars, and also relates to a method and device for determining production process parameters of connector busbars. Background Art

[0002] As a key electrical connection component, the production quality of the busbar directly affects the performance and safety of the entire electrical system. During the injection molding process, production process parameters such as injection pressure, injection time, and mold temperature have a crucial impact on the molding quality of the busbar. Improper selection of these parameters may lead to defects in the finally produced busbar products, such as flash, deformation, excessive internal stress, poor surface quality, etc., thereby affecting the electrical performance and mechanical strength of the busbar. In the prior art, production process parameters are set according to the experience of operators and historical data, which lacks objectivity and accuracy; or through trial mold experiments, the process parameters are continuously adjusted, and the molding quality and performance of the product are observed until the optimal parameter combination is found, which requires a large amount of time and material costs and has low efficiency. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to provide a method and device for determining production process parameters of connector busbars, so as to improve the efficiency of determining the optimal combination of production process parameters of connector busbars.

[0004] To solve the above technical problem, the technical solution of the present invention is as follows:

[0005] In the first aspect of the present invention, a method for determining production process parameters of a connector busbar is provided, including:

[0006] Obtaining material data and structural data of the connector busbar;

[0007] Determining a three-dimensional model of the connector busbar according to the material data and the structural data;

[0008] Determining target boundary conditions of the three-dimensional model according to the material data and the structural data;

[0009] Obtaining production process parameters of the connector busbar matching the three-dimensional model, where the production process parameters of the connector busbar include at least one of injection pressure, injection time, and mold temperature during the injection molding of the connector busbar;

[0010] Obtaining multiple indexes corresponding to multiple sets of production process parameters of the connector busbar according to the three-dimensional model, the target boundary conditions, and the production process parameters of the connector busbar;

[0011] Determine the production process parameters of the target connector busbar according to the multiple indicators.

[0012] Optionally, obtain the material data and structural data of the connector busbar, including:

[0013] Obtain the production materials of the connector busbar and the corresponding physical property parameters of the production materials;

[0014] Obtain the geometric shape, dimensional accuracy, and wall thickness distribution of the connector busbar;

[0015] Determine the material data according to the physical property parameters corresponding to the production materials;

[0016] Determine the structural data according to the geometric shape, dimensional accuracy, and wall thickness distribution of the busbar.

[0017] Optionally, determine the 3D model of the connector busbar according to the material data and the structural data, including:

[0018] Determine the 3D model of the connector busbar through a modeling tool according to the structural data.

[0019] Optionally, determine the target boundary conditions of the 3D model according to the material data and the structural data, including:

[0020] Obtain the first boundary condition according to the material data and the preset constraint range;

[0021] Determine the second boundary condition according to the material data;

[0022] Determine the third boundary condition according to the material data, the structural data, and the first boundary condition;

[0023] Determine the target boundary conditions according to the first boundary condition, the second boundary condition, and the third boundary condition.

[0024] Optionally, obtain multiple indicators corresponding to multiple sets of production process parameters of the connector busbar according to the 3D model, the target boundary conditions, and the production process parameters of the connector busbar, including:

[0025] Conduct mold flow analysis on the 3D model according to the target boundary conditions and the production process parameters of the connector busbar to obtain the first indicator, the second indicator, and the third indicator;

[0026] Among them, according to the target boundary conditions and Obtain the first indicator, and the first indicator is the warpage deformation amount of the connector busbar;

[0027] According to the target boundary conditions and Obtain a second index, where the second index is the volume shrinkage rate of the connector busbar;

[0028] According to the target boundary conditions and Obtain a third index, where the third index is the filling time of the connector busbar;

[0029] where is the warpage deformation amount of the connector busbar corresponding to the production process parameters of the i-th group of connector busbars, K is the stiffness matrix of the connector busbar, F is the equivalent nodal force, is the volume shrinkage rate of the connector busbar corresponding to the production process parameters of the i-th group of connector busbars, is the molten state volume, is the solid state volume, is the filling time of the connector busbar corresponding to the production process parameters of the i-th group of connector busbars, L is the flow path length, v is the melt front velocity, where i = 1, 2,... N, and N is the number of groups of production process parameters of the multi-group connector busbars.

[0030] Optionally, determining the target connector busbar production process parameters according to the multiple indexes includes:

[0031] Select W groups of connector busbar production process parameters as parent individuals according to the warpage deformation amount of the connector busbars corresponding to the multi-group connector busbar production process parameters, the volume shrinkage rate of the connector busbars, and the filling time of the connector busbars, and form a parent population, where W is a positive integer;

[0032] Generate new offspring individuals to form an offspring population through a crossover method based on the parent population;

[0033] Obtain the final new population through a mutation operation based on the offspring population;

[0034] Judge whether the number of iterations reaches a preset value. If not, repeat the steps of selection, crossover, mutation, fitness calculation, and termination condition judgment with the new population as the current population. If so, determine a group of connector busbar production process parameters corresponding to the individual with the optimal fitness in the current population as the target connector busbar production process parameters.

[0035] Optionally, selecting W groups of connector busbar production process parameters as parent individuals according to the warpage deformation amount of the connector busbars corresponding to the multi-group connector busbar production process parameters, the volume shrinkage rate of the connector busbars, and the filling time of the connector busbars, and forming a parent population includes:

[0036] According to Determine the fitness values of the multi-group connector busbar production process parameters; where , where is the fitness value of the production process parameters of the i-th group of connector busbars, , and are all weight coefficients, and ;

[0037] According to determine the total fitness value of the production process parameters of each group of connector busbars; where S is the total fitness value of the production process parameters of multiple groups of connector busbars, i = 1, 2,... N, and N is the number of groups of production process parameters of multiple groups of connector busbars;

[0038] According to determine the selection probability of the production process parameters of each group of connector busbars, where is the selection probability of the production process parameters of each group of connector busbars;

[0039] According to determine the cumulative probability of the production process parameters of each group of connector busbars, where is the cumulative probability of the production process parameters of each group of connector busbars, j = 1, 2,... i, and i is the index identifier of the production process parameters of each group of connector busbars;

[0040] Generate a random number r between [0, 1]. If , then select the production process parameters of the i-th group of connector busbars;

[0041] Repeat the above selection process until a set number of multiple groups of production process parameters of connector busbars are selected as parent individuals to form a parent population; where the set number is W, and W is a positive integer.

[0042] In the second aspect of the present invention, a device for determining production process parameters of a connector busbar is provided, including:

[0043] An acquisition module for acquiring material data and structural data of the connector busbar;

[0044] A processing module for determining a three-dimensional model of the connector busbar according to the material data and the structural data; determining target boundary conditions of the three-dimensional model according to the material data and the structural data; acquiring production process parameters of the connector busbar matching the three-dimensional model, where the production process parameters of the connector busbar include at least one of injection pressure, injection time, and mold temperature during the injection molding process of the connector busbar; obtaining multiple indicators corresponding to multiple groups of production process parameters of the connector busbar according to the three-dimensional model, the target boundary conditions, and the production process parameters of the connector busbar; and determining target production process parameters of the connector busbar according to the multiple indicators.

[0045] In a third aspect of the present invention, there is provided a computing device, including: a processor and a memory storing a computer program, and when the computer program is run by the processor, it executes the method described in the first aspect.

[0046] In a fourth aspect of the present invention, there is provided a computer-readable storage medium storing instructions, and when the instructions are run on a computer, the computer is caused to execute the method described in the first aspect.

[0047] The above solution of the present invention has at least the following beneficial effects:

[0048] In the above solution of the present invention, by obtaining the material data and structure data of the connector bus bar, determining the three-dimensional model of the connector bus bar according to the material data and structure data, determining the target boundary conditions of the three-dimensional model according to the material data and structure data, and obtaining the production process parameters of the connector bus bar matching the three-dimensional model, and then obtaining multiple indexes corresponding to multiple sets of production process parameters of the connector bus bar according to the three-dimensional model, target boundary conditions and production process parameters of the connector bus bar, and finally determining the target production process parameters of the connector bus bar according to the multiple indexes, the manual participation is reduced, the efficiency of determining the combination of the production process parameters of the connector bus bar is effectively improved, and it is beneficial to improve the product quality. Description of the Drawings

[0049] Figure 1 is a schematic flow chart of a method for determining the production process parameters of a connector bus bar in an embodiment of the present invention;

[0050] Figure 2 is a schematic structural diagram of a device for determining the production process parameters of a connector bus bar in an embodiment of the present invention. Detailed Embodiments

[0051] Hereinafter, exemplary embodiments of the present invention will be described in more detail with reference to the drawings. Although the exemplary embodiments of the present invention are shown in the drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided so that the present invention can be more thoroughly understood and the scope of the present invention can be fully conveyed to those skilled in the art.

[0052] As Figure 1 shown, an embodiment of the present invention provides a method for determining the production process parameters of a connector bus bar, including the following steps:

[0053] Step 101, obtaining the material data and structure data of the connector bus bar;

[0054] Step 102: Determine the 3D model of the connector bus bar according to the material data and the structure data;

[0055] Step 103: Determine the target boundary conditions of the 3D model according to the material data and the structure data;

[0056] Step 104: Obtain the production process parameters of the connector bus bar matching the 3D model, where the production process parameters of the connector bus bar include at least one of the injection pressure, injection time, and mold temperature during the injection molding process of the connector bus bar;

[0057] Step 105: Obtain multiple indicators corresponding to multiple sets of production process parameters of the connector bus bar respectively according to the 3D model, the target boundary conditions, and the production process parameters of the connector bus bar;

[0058] Step 106: Determine the target production process parameters of the connector bus bar according to the multiple indicators.

[0059] In the method for determining the production process parameters of the connector bus bar according to the embodiment of the present invention, by obtaining the material data and the structure data of the connector bus bar, and determining the 3D model of the connector bus bar according to the material data and the structure data, determining the target boundary conditions of the 3D model according to the material data and the structure data, and obtaining the production process parameters of the connector bus bar matching the 3D model, and then obtaining multiple indicators corresponding to multiple sets of production process parameters of the connector bus bar respectively according to the 3D model, the target boundary conditions, and the production process parameters of the connector bus bar, and finally determining the target production process parameters of the connector bus bar according to the multiple indicators, the manual participation is reduced, the efficiency of determining the combination of the production process parameters of the connector bus bar is effectively improved, and it is beneficial to improve the product quality.

[0060] In an optional embodiment of the present invention, step 101 includes:

[0061] Step 1011: Obtain the production materials of the connector bus bar and the corresponding physical property parameters of the production materials;

[0062] Specifically, the production materials (such as one of non-crystalline plastics, crystalline plastics, and high-viscosity materials) can be obtained based on the design drawings and relevant data of the connector bus bar provided by the user, and the corresponding physical property parameters thereof, such as density, thermal conductivity, specific heat capacity, melt viscosity, coefficient of thermal expansion, shrinkage rate, etc., can be determined according to the production materials.

[0063] Step 1012: Obtain the geometric shape, dimensional accuracy, and wall thickness distribution of the connector bus bar;

[0064] Specifically, data such as the geometric shape, dimensional accuracy, and wall thickness distribution of the connector busbar can be obtained based on the design drawings of the connector busbar provided by the user.

[0065] Step 1013: Determine material data according to the physical property parameters corresponding to the production material.

[0066] Specifically, the material data may include the production material of the connector busbar and the physical property parameters corresponding to the production material.

[0067] Step 1014: Determine structural data according to the geometric shape, dimensional accuracy, and wall thickness distribution of the busbar.

[0068] Specifically, the structural data of the connector busbar may include the geometric shape, dimensional accuracy, and wall thickness distribution of the busbar.

[0069] In an alternative embodiment of the present invention, step 102 includes:

[0070] Determine the three-dimensional model of the connector busbar through a modeling tool according to the structural data.

[0071] Specifically, according to the structural data, the specific structure of the busbar can be determined. If there are structures such as bends and connectors in the busbar structure, modeling tools such as rotation tools and Boolean operation tools can be determined for modeling. Modeling tools may include modeling tools such as stretching tools, drawing profile tools, rotation tools, and Boolean operations.

[0072] Specifically, using the determined modeling tool according to the structural data, use the drawing profile tool to draw the two-dimensional contour graph of the busbar; use the stretching tool to extrude the two-dimensional contour graph along the specified direction and distance to obtain a three-dimensional solid; or use the rotation tool to rotate the two-dimensional contour graph around an axis to generate a three-dimensional solid; use the Boolean operation tool to perform logical operations on the three-dimensional solid, thereby forming the three-dimensional model of the connector busbar. In a preferred embodiment, an initial three-dimensional model is drawn using a modeling tool, and then the initial three-dimensional model is converted into a preset format according to the format recognizable by the mold flow analysis software (which can be used as a preset format) to obtain the three-dimensional model of the connector busbar, so as to directly import the three-dimensional model into the mold flow analysis software subsequently to improve the recognition efficiency. Here, the preset format can be set according to the selected mold flow analysis software.

[0073] In an alternative embodiment of the present invention, step 103 includes:

[0074] Step 1031: Obtain the first boundary condition according to the material data and the preset constraint range.

[0075] Specifically, the preset constraint range may include the constraint range of injection pressure, the constraint range of injection time, and the constraint range of mold temperature, so as to ensure that during subsequent optimization, the relevant parameters fall within the preset constraint range, guaranteeing rationality.

[0076] According to the specific material type in the material data, select a suitable range within the preset constraint range as the first boundary condition. Here, the selection can be made within the preset constraint range according to the different material data in Table 1 to determine the first boundary condition. In one embodiment, if the production material in the material data is an amorphous plastic, the corresponding preset constraint range is: the constraint range of injection pressure is 50 to 100 MPa, the constraint range of injection time is 5 to 20 seconds, and the constraint range of mold temperature is 60 to 80 °C. Then the determined first boundary condition is injection pressure of 50 to 100 MPa, injection time of 5 to 20 seconds, and mold temperature of 60 to 80 °C.

[0077] Table 1 Preset Constraint Range

[0078] Material type Constrained range of injection pressure (MPa) Constrained range of injection time (seconds) Constrained range of mold temperature (°C) Amorphous plastic 50 to 100 5 to 20 60 to 80 Crystalline plastic 80 to 150 8 to 30 100 to 120 High-viscosity material 100 to 150 15 to 60 80 to 100

[0079] Step 1032: Determine the second boundary condition according to the material data;

[0080] Specifically, according to the material data, it can be determined that the viscosity model used is the Cross-WLF model (Cross-William-Landel-Ferry model) or the power-law model to describe the relationship between viscosity and temperature and shear rate, as well as the pressure-volume-temperature relationship of the material, which is used to calculate the volume shrinkage during the filling process in the simulation analysis, and the molecular orientation factor, which is used to predict the mechanical property anisotropy in the flow direction in the simulation analysis. Therefore, the second boundary condition may include the viscosity model, the pressure-volume-temperature relationship of the material, and the molecular orientation factor. In a specific embodiment, if the material data is polycarbonate, the corresponding viscosity model is the Cross-WLF model, the pressure-volume-temperature relationship of the material is that the volume increases with the increase of temperature and decreases with the increase of pressure, and the molecular orientation factor is that the orientation degree of the polymer chains in the melt flow direction is less than or equal to 0.8.

[0081] Step 1033: Determine the third boundary condition according to the material data, the structure data, and the first boundary condition;

[0082] Specifically, the holding pressure, cooling time, and clamping force also need to be determined according to the material data and the first boundary condition. Among them, the holding pressure is 60% to 80% of the injection pressure in the first boundary condition and lasts for 5 to 15 seconds to compensate for material shrinkage; the cooling time is adjusted according to the product thickness and material properties and ranges from 10 to 60 seconds; the clamping force needs to be greater than the mold expansion force generated by the injection pressure and ranges from 50 to 200 tons. The third boundary condition includes the holding pressure, cooling time, and clamping force.

[0083] Step 1034: Determine the target boundary condition according to the first boundary condition, the second boundary condition, and the third boundary condition.

[0084] Specifically, the target boundary condition includes the first boundary condition, the second boundary condition, and the third boundary condition, and the boundary condition can improve the accuracy of subsequent simulation analysis.

[0085] In an alternative embodiment of the present invention, step 104 includes:

[0086] Obtain at least one connector busbar production process parameter of injection pressure, injection time, and mold temperature that matches the three-dimensional model.

[0087] Specifically, inappropriate injection pressure may cause defects such as insufficient filling, flash, and deformation in the connector busbar; unreasonable injection time may cause bubbles and sink marks inside the connector busbar; inappropriate mold temperature will affect the fluidity and cooling rate of the plastic, thereby affecting the dimensional accuracy and surface quality of the connector busbar. Therefore, it is necessary to select appropriate injection pressure, injection time, and mold temperature for the production of the connector busbar. In this embodiment, at least one connector busbar production process parameter of injection pressure, injection time, and mold temperature that matches the three-dimensional model of the connector busbar can be obtained for optimization to improve product quality.

[0088] In an alternative embodiment of the present invention, step 105 includes:

[0089] Step 1051: Perform mesh division on the three-dimensional model to obtain a simulation network model;

[0090] Specifically, first, according to the structural complexity and simulation requirements of the three-dimensional model of the connector busbar, a suitable mesh type is selected. The mesh type can be a tetrahedral mesh, a hexahedral mesh, or a hybrid mesh (such as a combination of tetrahedra and hexahedra). For simple geometries, a hexahedral mesh can provide more accurate simulation results because it can better capture the flow behavior. For complex geometries, a tetrahedral mesh or a hybrid mesh is more suitable. According to the preset partitioning parameters, a mesh partitioning tool is used to partition the busbar model to obtain an initial mesh. Among them, the preset partitioning parameters include: mesh size (coarse mesh applicable to non-critical areas such as the periphery of the mold: 0.5 mm to 2 mm, or medium mesh applicable to ordinary forming areas: 0.1 mm to 0.5 mm, or fine mesh applicable to thin-walled, micro-structured, or high-precision areas: 0.01 mm to 0.1 mm), mesh density (1000 to 5000 cells / ), and mesh type (tetrahedral mesh, hexahedral mesh, or hybrid mesh), etc. Quality inspection of the initial mesh is carried out for continuity, shape, and size distribution of the mesh elements, etc., to obtain an inspection result. If the inspection result meets the preset qualified inspection conditions, the initial mesh is determined as the simulation network model. Among them, the preset qualified inspection conditions include: the initial mesh has no overlapping, intersecting, or missing elements, and the shape of the mesh elements is as close as possible to the preset shape (for example, a tetrahedral mesh should be an equilateral tetrahedron, and a hexahedral mesh should be a cube or a shape close to a cube).

[0091] Step 1052: According to the input parameters, the target boundary conditions, and the connector busbar production process parameters, perform mold flow analysis on the simulation network model to obtain a first index, a second index, and a third index;

[0092] Among them, according to the target boundary conditions and a first index is obtained. The first index is the warpage deformation amount of the connector busbar;

[0093] According to the target boundary conditions and a second index is obtained. The second index is the volume shrinkage rate of the connector busbar;

[0094] According to the target boundary conditions and a third index is obtained. The third index is the filling time of the connector busbar;

[0095] Among them, is the warpage deformation amount of the connector busbar corresponding to the production process parameters of the i-th group of connector busbars, K is the stiffness matrix of the connector busbar, F is the equivalent nodal force, is the volume shrinkage rate of the connector busbar corresponding to the production process parameters of the i-th group of connector busbars, is the molten volume, is the solid state volume, is the filling time of the connector busbar corresponding to the production process parameters of the i-th group of connector busbars, L is the flow path length, v is the melt front velocity, where i = 1, 2,... N, and N is the number of groups of production process parameters of the multi-group connector busbars.

[0096] Among them, the equivalent nodal force F is obtained by equivalent processing according to the actual external forces applied to the connector busbar (such as the die constraint force, injection pressure, etc. in the target boundary conditions), and these actual external forces contain the information of the boundary conditions. For example, the constraint position and constraint method of the die on the connector busbar will affect the distribution and magnitude of the equivalent nodal force F. The molten state volume is affected by the injection process parameters (such as injection temperature, injection pressure, etc.) and the geometry of the connector busbar, while the solid state volume is related to the shrinkage characteristics of the material and the boundary conditions during the cooling process (such as die temperature, cooling time, etc.). For example, the design of the die cooling system will affect the cooling rate and shrinkage degree of the connector busbar, thereby affecting the solid state volume . The flow path length L is determined by the geometry of the connector busbar and the gate position, while the melt front velocity v is affected by the injection process parameters (such as injection speed, injection pressure, etc.) and the material properties. For example, the position and size of the gate will affect the flow path of the melt, thereby affecting the flow path length L; the injection speed and injection pressure will directly affect the melt front velocity v

[0097] Specifically, the input parameters can be the physical property parameters corresponding to the production materials. According to the input parameters, the target boundary conditions, and the production process parameters of the connector busbar, mold flow analysis can be performed on the three-dimensional model of the connector busbar to obtain multiple indicators (such as warpage deformation amount, volume shrinkage rate, and filling time) corresponding to multiple groups of production process parameters of the connector busbar, and quantify the influence of different groups of production process parameters of the connector busbar on product quality and production efficiency from multiple dimensions, so as to obtain the optimal combination of production process parameters of the connector busbar.

[0098] In an optional embodiment of the present invention, step 106 includes:

[0099] Step 1061, select W groups of production process parameters of the connector busbar as the parental individuals according to the warpage deformation amount, volume shrinkage rate, and filling time corresponding to the multiple groups of production process parameters of the connector busbar to form a parental population, where W is a positive integer;

[0100] Step 1062, generate new offspring individuals through the crossover method according to the parental population to form an offspring population;

[0101] Step 1063: Obtain the final new population through mutation operation according to the offspring population;

[0102] Step 1064: Determine whether the number of iterations reaches the preset value. If not, repeat the steps of selection, crossover, mutation, fitness calculation, and termination condition judgment with the new population as the current population. If so, determine the production process parameters of a group of connector busbars corresponding to the individual with the optimal fitness in the current population as the target production process parameters of the connector busbars.

[0103] In an alternative embodiment of the present invention, step 1062 includes:

[0104] Step 10621: Randomly select a crossover method, and the crossover method is single-point crossover or multi-point crossover or uniform crossover;

[0105] If single-point crossover is selected, randomly select a crossover point c from the interval (1, n). For each pair of parent individuals and , generate offspring individuals and , where 1 < c < n, and n is the number of parameters in the combination of connector busbar production process parameters;

[0106] where ;

[0107] ;

[0108] If multi-point crossover is selected, randomly select m crossover points , , …, , and divide the gene sequences of the parent individuals into m + 1 segments according to the crossover points, and then alternately exchange these segments to generate offspring individuals.

[0109] where n, and n is the number of parameters in the combination of connector busbar production process parameters;

[0110] If uniform crossover is selected, for each pair of parent individuals, generate a binary mask with a length equal to the number of parameters in the injection molding process parameter combination , m2, …, m n ), if , then the i-th parameter of the offspring individual takes the i-th parameter of , and the i-th parameter of takes the i-th parameter of ; otherwise, the i-th parameter of takes the i-th parameter of , and the i-th parameter of The i-th parameter, where is a number randomly generated between [0, 1];

[0111] Step 10622, generate new offspring individuals through crossover operation to form an offspring population.

[0112] In an alternative embodiment of the present invention, step 1063 includes:

[0113] Step 10631, perform mutation check on each offspring individual with a preset mutation probability l, and the mutation check includes basic bit mutation and Gaussian mutation;

[0114] If basic bit mutation is adopted, for the individual , check each parameter in turn ; generate a random number R between [0, 1], if R < l, then perform mutation on , , where and are the upper and lower limits of the value of, and rand() generates another random number between [0, 1];

[0115] If Gaussian mutation is adopted, for the offspring individual that needs to mutate, take the current parameter value of the individual as the mean value, and use a preset standard deviation as a parameter to randomly sample a value from the Gaussian distribution as the mutated parameter value, so that the mutated parameter value is within a reasonable value range;

[0116] Step 10632, obtain the final new population after mutation operation.

[0117] In an alternative embodiment of the present invention, step 1064 includes:

[0118] Step 10641, perform mold flow analysis on each individual in the new population again and recalculate its fitness value;

[0119] Step 10642, determine whether the termination condition is satisfied, that is, the number of iterations reaches the preset number of iterations;

[0120] Step 10643, if the termination condition is not satisfied, take the new population as the current population and repeat the steps of selection, crossover, mutation, fitness calculation, and termination condition judgment;

[0121] Step 10644, if the termination condition is satisfied, determine the injection molding process parameters corresponding to the individual with the optimal fitness value in the current population as the optimal parameters.

[0122] In this example, by constructing a fitness function , it can comprehensively consider multiple indicators such as warpage deformation amount, volume shrinkage rate, and filling time, and weigh the impacts of different indicators on product quality. In this way, it can evaluate the advantages and disadvantages of the busbar production process parameter combinations from multiple dimensions, select the busbar production process parameters that better meet the product quality requirements, effectively reduce defects such as warpage deformation of the product, and improve the overall quality of the product.

[0123] Using the sum of fitness values, selection probability, and cumulative probability to select the busbar production process parameter combinations can make the busbar production process parameter combinations with high fitness values have a greater probability of being selected as parent individuals. This probability-based selection mechanism helps to screen out better individuals among numerous busbar production process parameter combinations, lay a good foundation for subsequent genetic operations, and thus gradually approach the optimal busbar production process parameters.

[0124] In an optional embodiment of the present invention, step 1061 includes:

[0125] Step 10611, according to determine the fitness values of multiple groups of connector busbar production process parameters; where , where is the fitness value of the i-th group of connector busbar production process parameters, , and are all weight coefficients, and ;

[0126] Step 10612, according to determine the sum of the fitness values of each group of connector busbar production process parameters; where S is the sum of the fitness values of multiple groups of connector busbar production process parameters, i = 1, 2,... N, and N is the number of groups of connector busbar production process parameters;

[0127] Step 10613, according to determine the selection probability of each group of connector busbar production process parameters, where is the selection probability of each group of connector busbar production process parameters;

[0128] Step 10614, according to determine the cumulative probability of each group of connector busbar production process parameters, where is the cumulative probability of each group of connector busbar production process parameters, j = 1, 2,... i, and i is the index identifier of each group of connector busbar production process parameters;

[0129] Step 10615, generate a random number r between [0, 1]. If , then select the i-th group of connector busbar production process parameters;

[0130] Step 10616: Repeat the above selection process until multiple groups of connector busbar production process parameters with a set quantity are selected as parental individuals to form a parental population; where the set quantity is W, and W is a positive integer.

[0131] A specific working example of the method for determining the production process parameters of the busbar in the embodiment of the present invention includes:

[0132] Step 111: Obtain connector busbar data;

[0133] Based on the connector busbar design drawings and related data provided by the user, production materials are obtained, and the corresponding physical property parameters can be determined according to the production materials; and data such as the geometric shape, dimensional accuracy, and wall thickness distribution of the connector busbar are obtained.

[0134] Step 112: Determine the three-dimensional model of the connector busbar;

[0135] According to the structural data, the specific structure of the busbar is determined, and then the modeling tool for drawing the three-dimensional model of the connector busbar is determined. Using the determined modeling tool, the three-dimensional model of the connector busbar is drawn according to the structural data.

[0136] Step 113: Determine the target boundary conditions;

[0137] According to the material data and the preset constraint range, the first boundary condition is determined. According to the material data, the second boundary condition is determined. According to the material data, structural data, and the first boundary condition, the third boundary condition is determined. Multiple boundary conditions are determined as the target boundary conditions.

[0138] Step 114: Obtain the connector busbar production process parameters;

[0139] Obtain at least one of the injection pressure, injection time, and mold temperature that matches the three-dimensional model of the connector busbar as the connector busbar production process parameters.

[0140] Step 115: Determine multiple indicators corresponding to multiple groups of connector busbar production process parameters;

[0141] Using mold flow analysis software, according to the input parameters, target boundary conditions, and connector busbar production process parameters, perform mold flow analysis on the three-dimensional model of the connector busbar to obtain multiple indicators corresponding to multiple groups of connector busbar production process parameters.

[0142] Step 116: Determine the target connector busbar production process parameters.

[0143] By optimizing the production process parameters of multiple groups of connector busbars, the target production process parameters of the connector busbar can be determined, including the optimal injection pressure, injection time, and mold temperature combination.

[0144] The method for determining the production process parameters of the connector busbar according to the embodiments of the present invention determines the optimal production process parameters by simulating and analyzing the connector busbar, so as to improve production efficiency, reduce production costs, and at the same time significantly improve product quality to meet the market demand for high-quality injection molded products.

[0145] As Figure 2 shown, the embodiments of the present invention propose a device 200 for determining the production process parameters of a connector busbar, including:

[0146] An acquisition module 201, configured to acquire the material data and structure data of the connector busbar;

[0147] A processing module 202, configured to determine a three-dimensional model of the connector busbar according to the material data and the structure data; determine the target boundary conditions of the three-dimensional model according to the material data and the structure data; acquire the production process parameters of the connector busbar matching the three-dimensional model, where the production process parameters of the connector busbar include at least one of injection pressure, injection time, and mold temperature during the injection molding process of the connector busbar; obtain multiple indicators corresponding to multiple groups of production process parameters of the connector busbar according to the three-dimensional model, the target boundary conditions, and the production process parameters of the connector busbar; and determine the target production process parameters of the connector busbar according to the multiple indicators.

[0148] Optionally, acquiring the material data and structure data of the connector busbar includes:

[0149] Acquiring the production material of the connector busbar and the physical property parameters corresponding to the production material;

[0150] Acquiring the geometric shape, dimensional accuracy, and wall thickness distribution of the connector busbar;

[0151] Determining the material data according to the physical property parameters corresponding to the production material;

[0152] Determining the structure data according to the geometric shape, dimensional accuracy, and wall thickness distribution of the busbar.

[0153] Optionally, determining the three-dimensional model of the connector busbar according to the material data and the structure data includes:

[0154] Determining the three-dimensional model of the connector busbar through a modeling tool according to the structure data.

[0155] Optionally, based on the material data and the structural data, determining target boundary conditions for the three-dimensional model, including:

[0156] Obtaining a first boundary condition according to the material data and a preset constraint range;

[0157] Determining a second boundary condition according to the material data;

[0158] Determining a third boundary condition according to the material data, the structural data, and the first boundary condition;

[0159] Determining the target boundary condition according to the first boundary condition, the second boundary condition, and the third boundary condition.

[0160] Optionally, based on the three-dimensional model, the target boundary conditions, and the connector busbar production process parameters, obtaining multiple indicators corresponding to multiple sets of connector busbar production process parameters, including:

[0161] Performing mold flow analysis on the three-dimensional model according to the target boundary conditions and the connector busbar production process parameters to obtain a first indicator, a second indicator, and a third indicator;

[0162] Wherein, according to the target boundary conditions and obtaining the first indicator, and the first indicator is the warpage deformation amount of the connector busbar;

[0163] According to the target boundary conditions and obtaining the second indicator, and the second indicator is the volume shrinkage rate of the connector busbar;

[0164] According to the target boundary conditions and obtaining the third indicator, and the third indicator is the filling time of the connector busbar;

[0165] Wherein, is the warpage deformation amount of the connector busbar corresponding to the i-th set of connector busbar production process parameters, K is the stiffness matrix of the connector busbar, F is the equivalent nodal force, is the volume shrinkage rate of the connector busbar corresponding to the i-th set of connector busbar production process parameters, is the molten state volume, is the solid state volume, is the filling time of the connector busbar corresponding to the i-th set of connector busbar production process parameters, L is the flow path length, v is the melt front velocity, where i = 1, 2,... N, and N is the number of sets of connector busbar production process parameters.

[0166] Optionally, based on the multiple indicators, determining target connector busbar production process parameters, including:

[0167] Based on the warpage deformation amount, volume shrinkage rate, and filling time of the connector busbar corresponding to the multiple sets of connector busbar production process parameters, select W sets of connector busbar production process parameters as parent individuals to form a parent population, where W is a positive integer;

[0168] Generate new offspring individuals to form an offspring population through a crossover method based on the parent population;

[0169] Obtain the final new population through mutation operations on the offspring population;

[0170] Judge whether the number of iterations reaches a preset value. If not, repeat the steps of selection, crossover, mutation, fitness calculation, and termination condition judgment with the new population as the current population. If so, determine a set of connector busbar production process parameters corresponding to the individual with the optimal fitness in the current population as the target connector busbar production process parameters.

[0171] Optionally, based on the warpage deformation amount, volume shrinkage rate, and filling time of the connector busbar corresponding to the multiple sets of connector busbar production process parameters, select W sets of connector busbar production process parameters as parent individuals to form a parent population, including:

[0172] According to Determine the fitness values of multiple sets of connector busbar production process parameters; where, , where, is the fitness value of the i-th set of connector busbar production process parameters, , and are all weight coefficients, and ;

[0173] According to Determine the total sum of the fitness values of each set of connector busbar production process parameters; where S is the total sum of the fitness values of multiple sets of connector busbar production process parameters, i = 1, 2,... N, and N is the number of sets of connector busbar production process parameters;

[0174] According to Determine the selection probability of each set of connector busbar production process parameters, where, is the selection probability of each set of connector busbar production process parameters;

[0175] According to Determine the cumulative probability of each set of connector busbar production process parameters, where, It is the cumulative probability of the production process parameters of each group of connector busbars, j = 1, 2,... i, where i is the index identifier of the production process parameters of each group of connector busbars;

[0176] Generate a random number r between [0, 1]. If , then select the production process parameters of the i-th group of connector busbars;

[0177] Repeat the above selection process until a set number of multiple groups of production process parameters of connector busbars are selected as parent individuals to form a parent population; where the set number is W, and W is a positive integer.

[0178] The device for determining the production process parameters of the connector busbar in the embodiment of the present invention determines the three-dimensional model of the connector busbar by obtaining the material data and structural data of the connector busbar, determines the target boundary conditions of the three-dimensional model according to the material data and structural data, obtains the production process parameters of the connector busbar matching the three-dimensional model, and then obtains multiple indicators corresponding to multiple groups of production process parameters of the connector busbar according to the three-dimensional model, target boundary conditions and production process parameters of the connector busbar. Finally, according to the multiple indicators, the target production process parameters of the connector busbar are determined, reducing manual participation, effectively improving the efficiency of determining the combination of production process parameters of the connector busbar, and being beneficial to improving product quality.

[0179] It should be noted that this device is the device corresponding to the above method. All implementation manners in the above method embodiments are applicable to the embodiments of this device and can achieve the same technical effects. They will not be elaborated in this embodiment.

[0180] The embodiment of the present invention also provides a computing device, including: a processor and a memory storing a computer program. When the computer program is run by the processor, it executes the method described in any one of the above embodiments. All implementation manners in the above method embodiments are applicable to the embodiments of this device and can achieve the same technical effects. They will not be elaborated in this embodiment.

[0181] The embodiment of the present invention also provides a computer-readable storage medium, on which instructions are stored. When the instructions are run on a computer, the computer is made to execute the method described in any one of the above embodiments. All implementation manners in the above method embodiments are applicable to the embodiments of this device and can achieve the same technical effects. They will not be elaborated in this embodiment.

[0182] It should be noted that in the apparatus and method of the present invention, obviously, each component or each step can be decomposed and / or recombined. These decompositions and / or recombinations shall be regarded as equivalent solutions of the present invention. Moreover, the steps of performing the above series of processes can naturally be executed in chronological order according to the described order, but it is not necessary to be executed in chronological order. Some steps can be executed in parallel, crosswise, or independently of each other.

[0183] It should be noted that in the above embodiments, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, such that a process, method, article or apparatus comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article or apparatus. Without further limitation, an element defined by the phrase "comprising a..." does not exclude the presence of additional identical elements in the process, method, article or apparatus comprising such element. In addition, it should be pointed out that the scope of the methods and apparatuses in the embodiments of the above implementation manners is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in a reverse order according to the functions involved. For example, the described methods may be performed in an order different from that described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

[0184] The above is the preferred embodiment of the present invention. It should be pointed out that for those of ordinary skill in the art, without departing from the principle of the present invention, several improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of the present invention.

Claims

1. A method for determining the production process parameters of a connector bus bar, characterized in that Including: Obtain the material data and structural data of the connector busbar; Determine the three-dimensional model of the connector busbar according to the material data and the structural data; Determine the target boundary conditions of the three-dimensional model according to the material data and the structural data; Obtain the production process parameters of the connector busbar matching the three-dimensional model, where the production process parameters of the connector busbar include at least one of the injection pressure, injection time, and mold temperature during the injection molding process of the connector busbar; Obtain multiple indicators corresponding to multiple sets of production process parameters of the connector busbar according to the three-dimensional model, the target boundary conditions, and the production process parameters of the connector busbar; Determine the target production process parameters of the connector busbar according to the multiple indicators; Among them, obtaining multiple indicators corresponding to multiple sets of production process parameters of the connector busbar according to the three-dimensional model, the target boundary conditions, and the production process parameters of the connector busbar includes: Perform mold flow analysis on the three-dimensional model according to the target boundary conditions and the production process parameters of the connector busbar to obtain the first indicator, the second indicator, and the third indicator; Among them, according to the described target boundary conditions and a first index is obtained, and the first index is the warping deformation amount of the connector busbar; According to the target boundary conditions and a second index is obtained, where the second index is the volume shrinkage rate of the connector bus bar; According to the target boundary conditions and obtain a third index, where the third index is the filling time of the connector busbar; Among them, is the warpage deformation amount of the connector busbar corresponding to the production process parameters of the i-th group of connector busbars, K is the stiffness matrix of the connector busbar, F is the equivalent nodal force, is the volume shrinkage rate of the connector busbar corresponding to the production process parameters of the i-th group of connector busbars, is the molten volume, is the solid volume, is the filling time of the connector busbar corresponding to the production process parameters of the i-th group of connector busbars, L is the flow path length, v is the melt front velocity, where i = 1, 2,... N, and N is the number of groups of production process parameters of the multi-group connector busbars; Among them, determining the target production process parameters of the connector busbar according to the multiple indicators includes: Select W sets of production process parameters of the connector busbar as parent individuals according to the warpage deformation amount, volume shrinkage rate, and filling time of the connector busbar corresponding to the multiple sets of production process parameters of the connector busbar to form a parent population, where W is a positive integer; Generate new offspring individuals to form an offspring population according to the parent population through a crossover method; Obtain the final new population according to the offspring population through mutation operations; Judge whether the number of iterations reaches a preset value. If not, repeat the steps of selection, crossover, mutation, fitness calculation, and termination condition judgment with the new population as the current population. If so, determine a set of production process parameters corresponding to the individual with the optimal fitness in the current population as the target production process parameters of the connector busbar.

2. The method for determining the production process parameters of the connector bus bar according to claim 1, characterized in that Obtain the material data and structural data of the connector busbar, including: Obtain the production material of the connector busbar and the physical property parameters corresponding to the production material; Obtain the geometric shape, dimensional accuracy, and wall thickness distribution of the connector busbar; Determine the material data according to the physical property parameters corresponding to the production material; Determine the structural data according to the geometric shape, dimensional accuracy, and wall thickness distribution of the busbar.

3. The method for determining the production process parameters of the connector bus bar according to claim 1, characterized in that, Determine the three-dimensional model of the connector busbar according to the material data and the structural data, including: Determine the three-dimensional model of the connector busbar through a modeling tool according to the structural data.

4. The method for determining the production process parameters of the connector bus bar according to claim 1, wherein, Determine the target boundary conditions of the three-dimensional model according to the material data and the structural data, including: Obtain the first boundary condition according to the material data and the preset constraint range; Determine the second boundary condition according to the material data; Determine the third boundary condition according to the material data, the structural data, and the first boundary condition; Determine the target boundary conditions according to the first boundary condition, the second boundary condition, and the third boundary condition.

5. The method for determining the production process parameters of the connector bus bar according to claim 1, characterized in that, Select W sets of production process parameters of the connector busbar as parental individuals according to the warpage deformation amount, volume shrinkage rate, and filling time of the connector busbar corresponding to the multi-group connector busbar production process parameters, and form a parental population, including: According to Determine the fitness values of multiple sets of production process parameters for the connector busbars; among them, , where is the fitness value of the production process parameters of the i-th group of connector busbars, , and are all weight coefficients, and ; According to Determine the sum of fitness values of production process parameters for each group of connector busbars; where S is the sum of fitness values of production process parameters for multiple groups of connector busbars, i = 1, 2,... N, and N is the number of groups of production process parameters for multiple groups of connector busbars; According to Determine the selection probability of the production process parameters for each group of connector busbars, where is the selection probability of the production process parameters for each group of connector busbars; According to Determine the cumulative probability of the production process parameters of each group of connector busbars, where is the cumulative probability of the production process parameters of each group of connector busbars, j = 1, 2,... i, and i is the index identifier of the production process parameters of each group of connector busbars; Generate a random number r between [0, 1]. If , then select the production process parameters of the i-th group of connector busbars. Repeat the above selection process until W sets of production process parameters of the connector busbar are selected as parental individuals to form a parental population; where the set number is W, and W is a positive integer.

6. An apparatus for determining production process parameters of a connector bus bar, characterized in that, Including: An acquisition module for acquiring material data and structural data of the connector busbar; A processing module for determining a three-dimensional model of the connector busbar according to the material data and the structural data; Determine the target boundary conditions of the three-dimensional model according to the material data and the structural data; Obtain the production process parameters of the connector busbar matching the three-dimensional model, where the production process parameters of the connector busbar include at least one of injection pressure, injection time, and mold temperature during the injection molding of the connector busbar; according to the three-dimensional model, the target boundary conditions, and the production process parameters of the connector busbar, obtain multiple indicators corresponding to multiple sets of production process parameters of the connector busbar; determine the target production process parameters of the connector busbar according to the multiple indicators; Among them, obtaining multiple indicators corresponding to multiple sets of production process parameters of the connector busbar according to the three-dimensional model, the target boundary conditions, and the production process parameters of the connector busbar includes: Perform mold flow analysis on the three-dimensional model according to the target boundary conditions and the production process parameters of the connector busbar to obtain a first indicator, a second indicator, and a third indicator; Among them, according to the target boundary conditions and a first index is obtained, and the first index is the warpage deformation amount of the connector bus bar; According to the target boundary conditions and a second index is obtained, where the second index is the volume shrinkage rate of the connector bus bar; According to the target boundary conditions and obtain a third index, where the third index is the filling time of the connector bus bar; Among them, is the warpage deformation amount of the connector busbar corresponding to the production process parameters of the i-th group of connector busbars, K is the stiffness matrix of the connector busbar, F is the equivalent nodal force, is the volume shrinkage rate of the connector busbar corresponding to the production process parameters of the i-th group of connector busbars, is the volume in the molten state, is the volume in the solid state, is the filling time of the connector busbar corresponding to the production process parameters of the i-th group of connector busbars, L is the flow path length, v is the melt front velocity, where i = 1, 2,... N, and N is the number of groups of production process parameters of the multi-group connector busbars; Among them, determining the target production process parameters of the connector busbar according to the multiple indicators includes: Select W sets of production process parameters of the connector busbar as parental individuals according to the warpage deformation amount, volume shrinkage rate, and filling time of the connector busbar corresponding to the multiple sets of production process parameters of the connector busbar, and form a parental population, where W is a positive integer; Generate new offspring individuals through a crossover method according to the parental population to form an offspring population; Obtain the final new population through mutation operations on the offspring population; Judge whether the number of iterations reaches a preset value. If not, repeat the steps of selection, crossover, mutation, fitness calculation, and termination condition judgment with the new population as the current population. If so, determine a set of production process parameters corresponding to the individual with the optimal fitness in the current population as the target production process parameters of the connector busbar.

7. A computing device, characterized in that, Including: A processor and a memory storing a computer program. When the computer program is run by the processor, it executes the method according to any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that, Instructions are stored. When the instructions are run on a computer, the computer is caused to execute the method according to any one of claims 1 to 5.

Images