Lightweight injection mold manufacturing method, lightweight injection mold and injection product

Abstract

An embodiment of the present invention provides a method for manufacturing a lightweight injection mold. By means of a mold model under preset working conditions and meshing decomposition of a product model, simulation analysis is carried out using the decomposed model obtained after decomposition, and simulation data is obtained according to the simulation analysis. The mold model without the combined product model and the mold model with the combined product model are jointly optimized in a dual form to obtain a target optimized model for manufacturing a lightweight injection mold. Compared with the existing injection mold, the weight is reduced and the usage amount of mold manufacturing materials is decreased.

Description

Technical Field

[0001] The present invention relates to the field of mold processing, and particularly to a method for manufacturing a lightweight injection mold, a lightweight injection mold, and an injection product. Background Art

[0002] An injection mold is a tool for producing plastic products and also a tool for endowing plastic products with a complete structure and precise dimensions. An injection mold is an important process equipment for producing various industrial products. With the rapid development of the plastic industry and the popularization and application of plastic products in industrial sectors such as aviation, aerospace, electronics, machinery, ships, and automobiles, the requirements for molds by products are getting higher and higher. Traditional injection molds are relatively heavy, resulting in difficulties in moving equipment and redundant materials. Summary of the Invention

[0003] An embodiment of the present invention provides a method for manufacturing a lightweight injection mold, aiming to solve the problems of relatively large weight of existing injection molds, difficulties in moving equipment, and redundant materials. By means of a mold model under preset working conditions and grid disassembly of a product model, a simulation analysis is carried out using the disassembled model obtained after disassembly, and according to the simulation data obtained from the simulation analysis, a dual-form joint optimization is carried out on the mold model without a combined product model and the mold model with a combined product model to obtain a target optimized model for manufacturing a lightweight injection mold. Compared with existing injection molds, the weight is reduced and the usage amount of mold manufacturing materials is decreased.

[0004] In a first aspect, an embodiment of the present invention provides a method for manufacturing a lightweight injection mold, the method comprising:

[0005] Obtaining a mold model corresponding to an injection mold and a product model corresponding to an injection product under preset working conditions, and obtaining the material mechanical parameters of the injection mold and the material mechanical parameters of the injection product;

[0006] Performing grid disassembly on the mold model to obtain a first disassembled model corresponding to the mold model, the first disassembled model comprising a plurality of first disassembled units;

[0007] Combining the mold model with the product model to obtain a combined model, and performing style disassembly on the combined model to obtain a second disassembled model corresponding to the combined model, the second disassembled model comprising a plurality of second disassembled units;

[0008] Performing a simulation analysis on the first disassembled model under a preset first simulation working condition to obtain first simulation data, and constructing an optimized model of the first disassembled model according to the first simulation data and the material mechanical parameters of the injection mold;

[0009] Perform simulation analysis on the second disassembly model under preset second simulation working conditions to obtain second simulation data, and construct an optimization model of the second disassembly model based on the second simulation data, the material mechanics parameters of the injection mold model, and the material mechanics parameters of the injection product;

[0010] Perform iterative solution on the optimization model of the first disassembly model and the optimization model of the second disassembly model to obtain the target optimization model corresponding to the first disassembly model, and the number of disassembly units of the target optimization model is less than the number of the first disassembly model;

[0011] Manufacture the lightweight injection mold according to the target optimization model.

[0012] Optionally, the mesh disassembly of the mold model to obtain the first disassembly model corresponding to the mold model includes:

[0013] Extract key points of the mold model to obtain the key points of the mold model;

[0014] Determine the first cutting plane, the second cutting plane, the third cutting plane, the first cutting direction, the second cutting direction, and the third cutting direction of the mold model according to the key points. There is a non-zero angle between the first cutting plane, the second cutting plane, and the third cutting plane. The first cutting direction has a non-zero angle perpendicular to the first cutting plane, the second cutting direction has a non-zero angle with the second cutting plane, and the third cutting direction has a non-zero angle with the third cutting plane;

[0015] Perform mesh disassembly on the mold model according to the first cutting plane, the second cutting plane, the third cutting plane, the first cutting direction, the second cutting direction, and the third cutting direction to obtain the first disassembly model.

[0016] Optionally, the combination of the mold model and the product model to obtain a combined model, and the style disassembly of the combined model to obtain the second disassembly model corresponding to the combined model includes:

[0017] Place the product model in the cavity of the mold model so that the mold model and the product model are combined to obtain the combined model;

[0018] Perform mesh disassembly on the combined model according to the first cutting plane, the second cutting plane, the third cutting plane, the first cutting direction, the second cutting direction, and the third cutting direction to obtain the second disassembly model.

[0019] Optionally, the step of performing simulation analysis on the first disassembly model under the preset first simulation working conditions to obtain first simulation data, and constructing an optimization model of the first disassembly model according to the first simulation data and the material mechanics parameters of the injection mold includes:

[0020] Determine the first relative density value corresponding to each of the first disassembly units according to the proportion of solid materials in each of the first disassembly units;

[0021] Perform simulation on the first disassembly model in the simulation space according to the preset first simulation working conditions and the material mechanics parameters of the injection mold, and analyze the force data and heat data of each of the first disassembly units as the first simulation data;

[0022] Construct an optimization model of the first disassembly model according to the force data, heat data of each of the first disassembly units, and the material mechanics parameters of the injection mold.

[0023] Optionally, the step of constructing an optimization model of the first disassembly model according to the force data, heat data of each of the first disassembly units, and the material mechanics parameters of the injection mold includes:

[0024] Determine the optimization boundary of the first disassembly model, and determine the optimization space of the first disassembly model according to the optimization boundary of the first disassembly model;

[0025] Construct an optimization model of the first disassembly model with the minimum weight as the objective function according to the force data, heat data of each of the first disassembly units, and the material mechanics parameters of the injection mold in the optimization space of the first disassembly model.

[0026] Optionally, the step of performing simulation analysis on the second disassembly model under the preset second simulation working conditions to obtain second simulation data, and constructing an optimization model of the second disassembly model according to the second simulation data, the material mechanics parameters of the injection mold, and the material mechanics parameters of the injection product includes:

[0027] Determine the second relative density value corresponding to each of the second disassembly units according to the proportion of solid materials in each of the second disassembly units;

[0028] Perform simulation on the first disassembly model in the simulation space according to the preset second simulation working conditions and the material mechanics parameters of the injection mold, and analyze the force data and heat data of each of the second disassembly units as the second simulation data;

[0029] Construct an optimization model of the second disassembly model based on the force data and heat data of each of the second disassembly units, the material mechanics parameters of the injection mold, and the material mechanics parameters of the injection product.

[0030] Optionally, the constructing an optimization model of the second disassembly model based on the force data and heat data of each of the second disassembly units, the material mechanics parameters of the injection mold, and the material mechanics parameters of the injection product includes:

[0031] Determine the optimization boundary of the second disassembly model, and determine the optimization space of the second disassembly model according to the optimization boundary of the second disassembly model;

[0032] Based on the force data and heat data of each of the second disassembly units, the material mechanics parameters of the injection mold, and the material mechanics parameters of the injection product in the optimization space of the second disassembly model, construct the optimization model of the second disassembly model with the minimum compliance as the objective function.

[0033] Optionally, the iteratively solving the optimization model of the first disassembly model and the optimization model of the second disassembly model to obtain the target optimization model corresponding to the first disassembly model includes:

[0034] According to the optimization model of the first disassembly model and the optimization model of the second disassembly model, obtain a joint optimization model, and iteratively solve the joint optimization model to obtain the target optimization model corresponding to the first disassembly model.

[0035] In a second aspect, an embodiment of the present invention provides a lightweight injection mold, which is processed by any one of the lightweight injection mold manufacturing methods in the embodiments of the present invention.

[0036] In a third aspect, an embodiment of the present invention provides an injection product, which is injection molded by any one of the lightweight injection molds in the embodiments of the present invention.

[0037] In an embodiment of the present invention, a mold model corresponding to an injection mold and a product model corresponding to an injection product are obtained under preset working condition conditions, and the material mechanics parameters of the injection mold and the material mechanics parameters of the injection product are obtained; the mold model is disassembled into a grid to obtain a first disassembled model corresponding to the mold model, and the first disassembled model includes a plurality of first disassembled units; the mold model and the product model are combined to obtain a combined model, and the combined model is disassembled in style to obtain a second disassembled model corresponding to the combined model, and the second disassembled model includes a plurality of second disassembled units; the first disassembled model is subjected to simulation analysis under a preset first simulation working condition to obtain first simulation data, and an optimization model of the first disassembled model is constructed according to the first simulation data and the material mechanics parameters of the injection mold; the second disassembled model is subjected to simulation analysis under a preset second simulation working condition to obtain second simulation data, and an optimization model of the second disassembled model is constructed according to the second simulation data, the material mechanics parameters of the injection mold, and the material mechanics parameters of the injection product; the optimization model of the first disassembled model and the optimization model of the second disassembled model are iteratively solved to obtain a target optimization model corresponding to the first disassembled model; according to the target optimization model, the lightweight injection mold is manufactured. By means of the mold model under the preset working condition conditions and the grid disassembly of the product model, the disassembled model obtained after disassembly is used for simulation analysis, and according to the simulation analysis, simulation data is obtained, and the mold model without the combined product model and the mold model with the combined product model are jointly optimized in a dual form to obtain a target optimization model for manufacturing a lightweight injection mold. Compared with the existing injection mold, the weight is reduced and the usage amount of the mold manufacturing material is reduced. Description of the Drawings

[0038] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0039] Figure 1 It is a flowchart of a method for manufacturing a lightweight injection mold provided by an embodiment of the present invention. Detailed Embodiments

[0040] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0041] Please refer to Figure 1 , Figure 1 which is a flowchart of a method for manufacturing a lightweight injection mold provided by an embodiment of the present invention. As Figure 1 shown, the method for manufacturing the lightweight injection mold includes the following steps:

[0042] S1. Obtain the mold model corresponding to the injection mold and the product model corresponding to the injection product under the preset working conditions, and obtain the material mechanics parameters of the injection mold and the material mechanics parameters of the injection product.

[0043] In the embodiments of the present invention, the above-mentioned preset working conditions may be the working conditions during injection molding, and the working conditions may include temperature conditions and external force conditions.

[0044] The above-mentioned mold model may be a digital model. The size and appearance shape of the injection mold can be obtained under the preset working conditions. In the modeling space in the computer, modeling is performed according to the obtained size and appearance shape to obtain the mold model corresponding to the injection mold. The above-mentioned product model may also be a digital model. The size and appearance shape of the injection product can be obtained under the preset working conditions. In the modeling space in the computer, modeling is performed according to the obtained size and appearance shape to obtain the product model corresponding to the injection product. Of course, in a possible embodiment, the size and appearance shape of the injection product can also be obtained according to the size and appearance shape of the cavity in the injection mold, and modeling is performed in the modeling space in the computer according to the obtained size and appearance shape to obtain the product model corresponding to the injection product.

[0045] The above-mentioned material mechanics parameters of the injection mold are the material mechanics parameters under the preset working conditions, and the above-mentioned material mechanics parameters of the injection product are the material mechanics parameters under the preset working conditions. The material mechanics parameters may be Young's modulus, Poisson's ratio, density, etc.

[0046] S2. Disassemble the mold model into a grid to obtain a first disassembled model corresponding to the mold model.

[0047] In an embodiment of the present invention, the above first disassembly model includes a plurality of first disassembly units. A point can be randomly determined in the mold model, and the normal vector of the cutting plane is given. It should be noted that the normal vector of the cutting plane is perpendicular to the cutting plane. Therefore, according to the position of the point and the normal vector of the cutting plane, the cutting plane is determined. After the mold model is cut multiple times by the cutting plane, the cutting plane is rotated and the mold model is continuously cut until the cut unit is a hexahedron unit, and the first disassembly model is obtained. The hexahedron units in the first disassembly model are the first disassembly units.

[0048] Optionally, in the step of performing grid disassembly on the mold model to obtain the first disassembly model corresponding to the mold model, key points of the mold model can also be extracted; according to the key points, the first cutting plane, the second cutting plane, the third cutting plane, the first cutting direction, the second cutting direction, and the third cutting direction of the mold are determined. There is a non-zero angle between the first cutting plane, the second cutting plane, and the third cutting plane. The first cutting direction has a non-zero angle with the first cutting plane, the second cutting direction has a non-zero angle with the second cutting plane, and the third cutting direction has a non-zero angle with the third cutting plane; the mold model is disassembled by grids according to the first cutting plane, the second cutting plane, the third cutting plane, the first cutting direction, the second cutting direction, and the third cutting direction to obtain the first disassembly model.

[0049] Specifically, the point cloud data of the mold model can be obtained. Based on the material mechanics parameters of the injection mold under preset working conditions, with the analysis target of minimizing the influence of each point on the stiffness of the injection mold, principal component analysis is performed on the point cloud data of the mold model to obtain the dimension-reduced point cloud data. According to the dimension-reduced point cloud data, the plane containing the most points is found. The points contained in this plane are the key points, and this plane can be used as the first cutting plane. Determining the first cutting plane through the above key points can minimize the influence of the hexahedron unit on the stiffness of the first disassembly model after cutting. Based on the first cutting plane, the second cutting plane can be randomly determined. The second cutting plane is not parallel to the first cutting plane. Based on the first cutting plane or the second cutting plane, the third cutting plane is randomly determined. The third cutting plane is not parallel to the first cutting plane and the second cutting plane. The above first cutting direction is the direction of the cutting step of the first cutting plane, and the first cutting plane cuts along the first cutting direction with the cutting step; the above second cutting direction is the direction of the cutting step of the second cutting plane, and the second cutting plane cuts along the second cutting direction with the cutting step; the above third cutting direction is the direction of the cutting step of the third cutting plane, and the third cutting plane cuts along the third cutting direction with the cutting step. More specifically, the first cutting plane, the second cutting plane, and the third cutting plane can be perpendicular to each other, so that the cut unit is a cuboid or a cube.

[0050] S3. Combine the mold model and the product model to obtain a combined model, and perform style disassembly on the combined model to obtain a second disassembly model corresponding to the combined model.

[0051] In the embodiment of the present invention, the above-mentioned second disassembly model includes a plurality of second disassembly units. It can be understood that the above-mentioned combined model includes a mold model and a product model. For the mold model, the units in the cavity are blank units or incomplete units. For example, the units in the cavity are blank units, and the units on the surface of the cavity are incomplete units. A blank unit can be understood as a hexahedron unit without material, and an incomplete unit can be understood as a hexahedron unit with incomplete material filling. For the combined model, the units in the cavity are the disassembly units of the product model, making the originally blank or incomplete hexahedron units become hexahedron units filled with complete material.

[0052] It should be noted that the above-mentioned first disassembly unit and the second disassembly unit can be hexahedron units with the same size and shape, and the above-mentioned first disassembly unit and the second disassembly unit are only different in quantity. Specifically, the combined model is subjected to mesh disassembly by the mesh disassembly method of the mold model, so that the size and shape of the first disassembly unit and the second disassembly unit are the same.

[0053] Specifically, in the step of combining the mold model and the product model to obtain a combined model and performing style disassembly on the combined model to obtain a second disassembly model corresponding to the combined model, the product model can be placed in the cavity of the mold model so that the mold model and the product model are combined to obtain a combined model; the combined model is subjected to mesh disassembly according to the first cutting plane, the second cutting plane, the third cutting plane, the first cutting direction, the second cutting direction, and the third cutting direction to obtain a second disassembly model.

[0054] S4. Perform simulation analysis on the first disassembly model under the preset first simulation working condition to obtain first simulation data, and construct an optimization model of the first disassembly model according to the first simulation data and the material mechanics parameters of the injection mold.

[0055] In an embodiment of the present invention, the first disassembly model can be simulated through simulation software. Specifically, the first disassembly model can be simulated through the simulation space provided by multi-physics field simulation software such as COMSOL and Simcenter STAR-CCM+. The preset first simulation working condition can include temperature conditions and external force conditions. After importing the first disassembly model into the simulation software, the preset first simulation working condition can be input through the interaction interface of the simulation software, so that the simulation software performs simulation analysis on the first disassembly model according to the preset first simulation working condition, and thus the first simulation data corresponding to the first disassembly model can be obtained. The above first simulation data can include the force data and heat data of each first disassembly unit, and the above force data can include stress data and strain data.

[0056] In the simulation software, the initial force data of the first disassembly model can also be calculated according to the material mechanics parameters of the injection mold, the initial heat data of the first disassembly model can be determined according to the preset working condition, and an optimization model of the first disassembly model can be constructed according to the first simulation data, the initial force data, and the initial heat data corresponding to the first disassembly model. The above optimization model is the distribution optimization of the first disassembly unit, including the quantity and position optimization of the first disassembly unit. Topological optimization can be used as the optimization model of the first disassembly model. Substantially, the first disassembly unit is represented by a numerical value between 0 and 1. Under the constraints of the objective function and the constraint conditions, the optimal distribution of the material is solved, and the constraint condition can be volume constraint (to prevent deformation). In topological optimization, each first disassembly unit corresponds to a numerical value x i , the number of the first disassembly units is n, the solid volume of the first disassembly model is a, and topological optimization generally finds the distribution x of the first disassembly units that minimizes the objective function S under the volume constraint G0≤a and other constraint conditions i |(i = 1…n).

[0057] Optionally, in the step of performing simulation analysis on the first disassembly model under the preset first simulation working condition to obtain the first simulation data, and constructing the optimization model of the first disassembly model according to the first simulation data and the material mechanics parameters of the injection mold, the first relative density value corresponding to each first disassembly unit can be determined according to the proportion of the solid material in each first disassembly unit; the first disassembly model is simulated in the simulation space according to the preset first simulation working condition and the material mechanics parameters of the injection mold, and the force data and heat data of each first disassembly unit are analyzed as the first simulation data; an optimization model of the first disassembly model is constructed according to the force data, the heat data of each first disassembly unit, and the material mechanics parameters of the injection mold.

[0058] In the embodiment of the present invention, the first disassembled unit can be a complete unit, an incomplete unit, or a blank unit according to the filling completeness of the material therein. A complete unit can be understood as a unit space fully filled with solid material, an incomplete unit can be understood as a unit space partially filled with solid material, and a blank unit can be understood as a unit space without any solid material. For each first disassembled unit, the corresponding first relative density value x can be determined according to the proportion of solid material. i .

[0059] The preset first simulation working condition may include temperature conditions and external force conditions. After the first disassembly model is imported into the simulation software, the preset first simulation working condition may be input through the interactive interface of the simulation software, so that the simulation software performs simulation analysis on the first disassembly model according to the preset first simulation working condition, thereby obtaining the force data and heat data of each first disassembly unit in the first disassembly model. The above-mentioned first simulation data may include the force data and heat data of each first disassembly unit, and the above-mentioned force data may include stress data and strain data, and the above-mentioned force data may include stress data and strain data. And the optimization model of the first disassembly model is constructed according to the force data and heat data of each first disassembly unit and the material mechanical parameters of the injection mold.

[0060] Optionally, in the step of constructing an optimization model of the first disassembly model according to the force data and heat data of each first disassembly unit and the material mechanical parameters of the injection mold, the optimization boundary of the first disassembly model can be determined, and the optimization space of the first disassembly model can be determined according to the optimization boundary of the first disassembly model; according to the force data and heat data of each first disassembly unit and the material mechanical parameters of the injection mold in the optimization space of the first disassembly model, the optimization model of the first disassembly model is constructed with minimum weight as the objective function.

[0061] In an embodiment of the present invention, the N first disassembly units within the surface of the first disassembly model can be used as the optimization boundary, and the boundary within the optimization boundary can be used as the optimization space. The optimization boundary is retained and not optimized. According to the force data and heat data of each first disassembly unit in the optimization space of the first disassembly model, as well as the material mechanical parameters of the injection mold, the optimization model of the first disassembly model is constructed with the minimum weight as the objective function. Specifically, the optimization model of the first disassembly model can be expressed as follows:

[0062] Among them, the above Minimize is the objective function, the above Subject is the constraint condition, and the above ρ i,t is the material density of the first disassembled unit at temperature t, the above x iFor the normalized first relative density in the optimization region, C1 is the flexibility of the first disassembly model, minc1 is the minimum flexibility of the first disassembly model, U i is the displacement vector of the first disassembly unit, K i is the stiffness matrix of the first disassembly unit, U i T is the transpose of U i G0 is the volume of the optimization region after optimization, a is the initial solid volume of the optimization region, F i is the external force load vector, E i is the elastic modulus of the i-th first disassembly unit, and E0 is the elastic modulus of the injection mold. In the optimization model of the above first disassembly model, the above stiffness can be calculated according to the elastic modulus of the first disassembly unit, the above external force load vector can be determined according to the preset first simulation condition, and the above displacement vector can be obtained according to the first simulation data.

[0063] S5. Perform a simulation analysis on the second disassembly model under the conditions of a preset second simulation condition to obtain second simulation data, and construct an optimization model of the second disassembly model based on the second simulation data, the material mechanics parameters of the injection mold, and the material mechanics parameters of the injection product.

[0064] In the embodiments of the present invention, the preset second simulation condition may be the same as or different from the preset first simulation condition. Specifically, the specific process of performing a simulation analysis on the second disassembly model is similar to the specific process of performing a simulation analysis on the first disassembly model above, except that the disassembly units corresponding to the product model in the second disassembly model are also analyzed. Therefore, the second simulation data obtained also includes the force data and heat data of the disassembly units corresponding to the product model. Of course, the disassembly units corresponding to the product model are regarded as heat sources, and the heat data corresponding to the disassembly units corresponding to the product model may be the same.

[0065] In the simulation software, the initial force data of the second disassembly model can also be calculated according to the material mechanics parameters of the injection mold, the initial heat data of the second disassembly model can be determined according to the preset working condition, and an optimization model of the second disassembly model can be constructed based on the second simulation data, the initial force data, and the initial heat data corresponding to the second disassembly model.

[0066] Optionally, in the step of simulating and analyzing the second disassembly model under a preset second simulation working condition to obtain second simulation data, and constructing an optimization model of the second disassembly model according to the second simulation data, the material mechanical parameters of the injection molding model, and the material mechanical parameters of the injection molding product, the second relative density value corresponding to each second disassembly unit can be determined according to the proportion of solid material in each second disassembly unit; according to the preset second simulation working condition and the material mechanical parameters of the injection molding model, the first disassembly model is simulated in the simulation space, and the force data and heat data of each second disassembly unit are analyzed to obtain the second simulation data; and the optimization model of the second disassembly model is constructed according to the force data and heat data of each second disassembly unit, the material mechanical parameters of the injection molding mold, and the material mechanical parameters of the injection molding product.

[0067] In the embodiment of the present invention, the second disassembled unit can be a complete unit, an incomplete unit, a mixed unit, or a blank unit according to the completeness of the material filling therein. A complete unit can be understood as a unit space fully filled with one type of solid material, an incomplete unit can be understood as a unit space partially filled with one type of solid material, a mixed unit can be understood as a unit space fully filled with two types of solid materials, such as the solid material of the injection mold and the solid material of the injection molded product at the same time, and a blank unit can be understood as a unit space without any solid material. For each second disassembled unit, the corresponding second relative density value y can be determined according to the proportion of the solid material j Furthermore, the second relative density value of the mixed unit can be calculated according to the following formula:

[0068]

[0069] In the above formula, V1 is the volume of the solid material of the injection mold in the mixing unit, V2 is the volume of the solid material of the injection molded product in the mixing unit, V is the volume of the mixing unit, E1 is the elastic modulus of the injection mold, and E2 is the elastic modulus of the injection molded product. Considering the actual injection molding situation, the elastic modulus of the injection mold is greater than the elastic modulus of the injection molded product.

[0070] The second simulation data may include force data and heat data of each second disassembly unit, the force data may include stress data and strain data, and the force data may include stress data and strain data. An optimization model of the second disassembly model is constructed based on the force data and heat data of each second disassembly unit and the material mechanical parameters of the injection mold.

[0071] Optionally, in the step of constructing an optimization model of the second disassembly model based on the force data and heat data of each second disassembly unit, the material mechanics parameters of the injection mold, and the material mechanics parameters of the injection product, the optimization boundary of the second disassembly model can be determined, and the optimization space of the second disassembly model can be determined according to the optimization boundary of the second disassembly model; based on the force data and heat data of each second disassembly unit in the optimization space of the second disassembly model, the material mechanics parameters of the injection mold, and the material mechanics parameters of the injection product, with the minimum compliance as the objective function, an optimization model of the second disassembly model is constructed.

[0072] In the embodiment of the present invention, M second disassembly units within the surface of the second disassembly model and the second disassembly units corresponding to the product model can be used as the optimization boundary, and the domain within the optimization boundary is used as the optimization space, and the optimization boundary is reserved without optimization. Based on the force data and heat data of each second disassembly unit in the optimization space of the second disassembly model, and the material mechanics parameters of the injection product, with the minimum compliance as the objective function, an optimization model of the second disassembly model is constructed. Specifically, there are m second disassembly units in the optimization space of the second disassembly model described above. It should be noted that a part of the m second disassembly units belong to the disassembly units corresponding to the mold model, and a part belong to the disassembly units corresponding to the product model. Since the product model and the mold model are combined, the existence of the product model will change the force condition of the mold model, and the force conditions corresponding to the disassembly units belonging to the mold model in the second disassembly units are also different from those corresponding to the disassembly units belonging to the mold model in the first disassembly units. The optimization model of the second disassembly model can be expressed by the following formula:

[0073]

[0074] Among them, the above Minimize is the objective function, the above Subject is the constraint condition, and the above ρ i,t is the material density of the i-th first disassembly unit at temperature t, the above y j is the normalized second relative density in the optimization region, minc2 is the minimum compliance of the first disassembly model, U j is the displacement vector of the second disassembly model, K j is the stiffness matrix of the second disassembly model, U j T is the transpose of U j u j is the displacement vector of the second disassembly unit, k 0,j is the stiffness vector of the second disassembly unit, G1 is the volume of the optimization region in the second disassembly model after optimization, b is the initial solid volume of the optimization region in the second disassembly model, F j is the external force load vector, Ej is the elastic modulus of the j-th second disassembly unit, E1 is the elastic modulus of the injection mold, E2 is the elastic modulus of the injection product, e1 is the set of disassembly units corresponding to the mold model, e2 is the set of disassembly units corresponding to the product model, and e3 is the set of second disassembly units that are mixed units. In the optimization model of the above second disassembly model, the above stiffness can be calculated according to the elastic modulus of the second disassembly unit, the above external force load vector can be determined according to the preset second simulation condition, and the above displacement vector can be obtained according to the second simulation data.

[0075] In the embodiment of the present invention, since the injection product has an impact on the injection mold during the injection process, the mold model and the product model are combined, and the combined model is optimized with the minimum compliance as the goal, taking into account the impact of the injection product on the injection mold during the injection process, making the optimization goal more accurate.

[0076] S6. Iteratively solve the optimization model of the first disassembly model and the optimization model of the second disassembly model to obtain the target optimization model corresponding to the first disassembly model.

[0077] In the embodiment of the present invention, the number of disassembly units of the above target optimization model is less than the number of the first disassembly model. The optimization model of the first disassembly model and the second disassembly model can be iteratively solved by the MMA numerical solution algorithm to solve the optimal material distribution method z l |(l = 1…L), L is less than n; MMA is an interior point method of continuous convex approximation constructed based on the target and constraint gradient information, which can calculate the optimal material distribution method more accurately and conveniently.

[0078] Optionally, in the step of iteratively solving the optimization model of the first disassembly model and the optimization model of the second disassembly model to obtain the target optimization model corresponding to the first disassembly model, a joint optimization model can be obtained according to the optimization model of the first disassembly model and the optimization model of the second disassembly model, and the joint optimization model is iteratively solved to obtain the target optimization model corresponding to the first disassembly model.

[0079] In the embodiment of the present invention, the above joint optimization model can be represented by the following formula:

[0080]

[0081] where w0 is the weight of the injection mold before optimization. The above joint optimization model can solve the optimal material distribution method z with reduced weight and strength meeting the required strength of the injection mold during the injection process through the MMA numerical solution algorithm l |(l = 1…L).

[0082] S7. According to the target optimization model, a lightweight injection mold is manufactured.

[0083] In the embodiment of the present invention, the target optimization model is the target mold model corresponding to the injection mold. Since the material distribution in the target mold model is the optimal material distribution that meets the weight reduction and the mold strength during the injection process. Specifically, in the optimal material distribution mode z l |(l = 1…L), if z l is less than 0.5, it indicates that this is a hollow structure. If z l is greater than 0.5, it indicates that this is a solid structure. The hollow structure does not fill the mold material, and the solid structure fills the mold material.

[0084] After obtaining the target optimization model, a lightweight injection mold is manufactured according to the optimal material distribution of the target optimization model.

[0085] In the embodiment of the present invention, the mold model corresponding to the injection mold and the product model corresponding to the injection product under preset working conditions are obtained, and the material mechanical parameters of the injection mold and the material mechanical parameters of the injection product are obtained; the mold model is disassembled into a grid to obtain a first disassembled model corresponding to the mold model, and the first disassembled model includes multiple first disassembled units; the mold model and the product model are combined to obtain a combined model, and the combined model is disassembled into a style to obtain a second disassembled model corresponding to the combined model, and the second disassembled model includes multiple second disassembled units; the first disassembled model is simulated and analyzed under a preset first simulation working condition to obtain first simulation data, and an optimization model of the first disassembled model is constructed according to the first simulation data and the material mechanical parameters of the injection mold; the second disassembled model is simulated and analyzed under a preset second simulation working condition to obtain second simulation data, and an optimization model of the second disassembled model is constructed according to the second simulation data, the material mechanical parameters of the injection mold, and the material mechanical parameters of the injection product; the optimization model of the first disassembled model and the optimization model of the second disassembled model are iteratively solved to obtain the target optimization model corresponding to the first disassembled model; according to the target optimization model, the lightweight injection mold is manufactured. By means of the mold model under preset working conditions and grid disassembly of the product model, simulation analysis is carried out using the disassembled model obtained after disassembly, and according to the simulation data obtained from the simulation analysis, dual-form joint optimization is carried out on the mold model without the combined product model and the mold model with the combined product model to obtain the target optimization model to manufacture the lightweight injection mold. Compared with the existing injection mold, the weight is reduced and the usage amount of the mold manufacturing material is reduced.

[0086] It should be noted that the lightweight injection mold manufacturing method provided by the embodiments of the present invention can be applied to electronic devices capable of manufacturing lightweight injection molds.

[0087] The embodiments of the present invention provide an environment-friendly sheet metal chassis, and the lightweight injection mold is processed by the lightweight injection mold manufacturing method described in any one of the embodiments of the present invention.

[0088] The embodiments of the present invention provide an injection molded product, and the injection molded product is injection molded by the lightweight injection mold described in any one of the embodiments of the present invention.

[0089] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program in an electronic device. The program can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above methods. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only memory (ROM), or a random access memory (RAM), etc.

[0090] The above-disclosed are only the preferred embodiments of the present invention. Of course, the scope of the rights of the present invention cannot be limited by this. Therefore, equivalent changes made according to the claims of the present invention still fall within the scope covered by the present invention.

Claims

1. A method for manufacturing a lightweight injection mold, characterized in that, It includes the following steps: Obtain the mold model corresponding to the injection mold and the product model corresponding to the injection product under preset working condition conditions, and obtain the material mechanics parameters of the injection mold and the material mechanics parameters of the injection product; Perform mesh disassembly on the mold model to obtain a first disassembly model corresponding to the mold model, and the first disassembly model includes a plurality of first disassembly units; Combine the mold model and the product model to obtain a combined model, and perform mesh disassembly on the combined model to obtain a second disassembly model corresponding to the combined model, and the second disassembly model includes a plurality of second disassembly units; Perform simulation analysis on the first disassembly model under a preset first simulation working condition to obtain first simulation data, and construct an optimization model of the first disassembly model according to the first simulation data and the material mechanics parameters of the injection mold; Perform simulation analysis on the second disassembly model under a preset second simulation working condition to obtain second simulation data, and construct an optimization model of the second disassembly model according to the second simulation data, the material mechanics parameters of the injection mold, and the material mechanics parameters of the injection product; Perform iterative solution on the optimization model of the first disassembly model and the optimization model of the second disassembly model to obtain a target optimization model corresponding to the first disassembly model, and the number of disassembly units of the target optimization model is less than the number of the first disassembly model; Manufacture the lightweight injection mold according to the target optimization model.

2. The method for manufacturing a lightweight injection mold according to claim 1, characterized in that The performing mesh disassembly on the mold model to obtain a first disassembly model corresponding to the mold model includes: Extract key points of the mold model to obtain the key points of the mold model; Determine a first cutting plane, a second cutting plane, a third cutting plane, a first cutting direction, a second cutting direction, and a third cutting direction of the mold model according to the key points. There is a non-zero angle between the first cutting plane, the second cutting plane, and the third cutting plane. The first cutting direction has a non-zero angle with the first cutting plane, the second cutting direction has a non-zero angle with the second cutting plane, and the third cutting direction has a non-zero angle with the third cutting plane; Perform mesh disassembly on the mold model according to the first cutting plane, the second cutting plane, the third cutting plane, the first cutting direction, the second cutting direction, and the third cutting direction to obtain a first disassembly model.

3. The method for manufacturing a lightweight injection mold according to claim 2, characterized in that, The combining the mold model and the product model to obtain a combined model, and performing mesh disassembly on the combined model to obtain a second disassembly model corresponding to the combined model includes: Place the product model in the cavity of the mold model so that the mold model and the product model are combined to obtain the combined model; Perform mesh disassembly on the combined model according to the first cutting plane, the second cutting plane, the third cutting plane, the first cutting direction, the second cutting direction, and the third cutting direction to obtain a second disassembly model.

4. The method for manufacturing a lightweight injection mold according to claim 3, characterized in that, Performing simulation analysis on the first disassembly model under preset first simulation working conditions to obtain first simulation data, and constructing an optimization model of the first disassembly model based on the first simulation data and the material mechanics parameters of the injection mold, including: Determining a first relative density value corresponding to each of the first disassembly units according to the proportion of solid materials in each of the first disassembly units; Performing simulation on the first disassembly model in the simulation space according to the preset first simulation working conditions and the material mechanics parameters of the injection mold, and analyzing the force data and heat data of each of the first disassembly units as the first simulation data; Constructing an optimization model of the first disassembly model based on the force data and heat data of each of the first disassembly units, and the material mechanics parameters of the injection mold.

5. The method for manufacturing a lightweight injection mold according to claim 4, wherein The constructing an optimization model of the first disassembly model based on the force data and heat data of each of the first disassembly units, and the material mechanics parameters of the injection mold, includes: Determining the optimization boundary of the first disassembly model, and determining the optimization space of the first disassembly model according to the optimization boundary of the first disassembly model; Based on the force data and heat data of each of the first disassembly units, and the material mechanics parameters of the injection mold in the optimization space of the first disassembly model, constructing an optimization model of the first disassembly model with the minimum weight as the objective function.

6. The method for manufacturing a lightweight injection mold according to claim 5, wherein, Performing simulation analysis on the second disassembly model under preset second simulation working conditions to obtain second simulation data, and constructing an optimization model of the second disassembly model based on the second simulation data, the material mechanics parameters of the injection mold, and the material mechanics parameters of the injection product, including: Determining a second relative density value corresponding to each of the second disassembly units according to the proportion of solid materials in each of the second disassembly units; Performing simulation on the second disassembly model in the simulation space according to the preset second simulation working conditions and the material mechanics parameters of the injection mold, and analyzing the force data and heat data of each of the second disassembly units as the second simulation data; Constructing an optimization model of the second disassembly model based on the force data and heat data of each of the second disassembly units, the material mechanics parameters of the injection mold, and the material mechanics parameters of the injection product.

7. The method for manufacturing a lightweight injection mold according to claim 6, wherein The constructing an optimization model of the second disassembly model based on the force data and heat data of each of the second disassembly units, the material mechanics parameters of the injection mold, and the material mechanics parameters of the injection product, includes: Determining the optimization boundary of the second disassembly model, and determining the optimization space of the second disassembly model according to the optimization boundary of the second disassembly model; Based on the force data and heat data of each of the second disassembly units, the material mechanics parameters of the injection mold, and the material mechanics parameters of the injection product in the optimization space of the second disassembly model, constructing an optimization model of the second disassembly model with the minimum flexibility as the objective function.

8. The method for manufacturing a lightweight injection mold according to claim 7, wherein Iteratively solving the optimization model of the first disassembly model and the optimization model of the second disassembly model to obtain the target optimization model corresponding to the first disassembly model includes: Obtaining a joint optimization model based on the optimization model of the first disassembly model and the optimization model of the second disassembly model, and iteratively solving the joint optimization model to obtain the target optimization model corresponding to the first disassembly model.

9. A lightweight injection mold, characterized in that, The lightweight injection mold is manufactured by the manufacturing method of the lightweight injection mold according to any one of claims 1 to 8.

10. An injection molded product, characterized in that, Injection molding is performed by using the lightweight injection mold according to claim 9.

Images