Weight optimization method and device for structural component of injection molding machine

Abstract

The invention relates to a weight optimization method and device for structural parts of an injection molding machine, belongs to the technical field of structural optimization of injection molding machines, and solves the problems that the use amount of template materials is large due to the fact that the size of a mounting thick surface of an existing structural part such as an injection molding template and a glue injection frame main body is large, and the inertia for driving the template to move during injection molding is large; and the control difficulty of the driving mechanism is increased, and the material cost is also increased. And creating a geometric structure model of the target structural member, and performing primary finite element analysis on the geometric structure model to obtain a primary finite element analysis result. And optimizing the geometric structure model according to a primary finite element analysis result to obtain a geometric optimization model. And performing quadratic finite element analysis on the geometric optimization model to obtain a quadratic finite element analysis result. And taking the geometric optimization model of which the quadratic finite element analysis result meets a set result condition as a weight optimization result. On the basis, the mounting thick surface and the template material of the target structural member are reduced, and the control difficulty and the material cost are reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of injection molding machine structure optimization, in particular to a weight optimization method and device for injection molding machine structural parts. BACKGROUND

[0002] An injection molding machine, also known as an injection molding machine or an injection machine, is a main molding equipment for making various shaped plastic products from thermoplastic or thermosetting plastics using a plastic molding mold. It is mainly divided into vertical and horizontal full-electric types. The injection molding machine can heat the plastic and apply high pressure to the molten plastic to fill the mold cavity.

[0003] The injection molding machine includes an injection system, a mold clamping system, a hydraulic drive system, an electrical control system, a lubrication system, a heating and cooling system, a safety monitoring system, etc. Therefore, the injection molding machine has a large number of structural parts. Among them, the injection mold plate and the injection frame main body have moving structural parts. The volume of the installation thick surface is large, which leads to a large amount of mold plate material, resulting in large inertia when driving the mold plate to move, increasing the control difficulty of the driving mechanism and increasing the material cost. SUMMARY

[0004] In view of the above analysis, the embodiments of the present application aim to provide a weight optimization method and device for injection molding machine structural parts to solve the problem that the existing injection mold plate and injection frame main body have moving structural parts, the volume of the installation thick surface is large, which leads to a large amount of mold plate material, resulting in large inertia when driving the mold plate to move, increasing the control difficulty of the driving mechanism and increasing the material cost.

[0005] The embodiments of the present application provide a weight optimization method for injection molding machine structural parts, which includes the following steps:

[0006] Creating a geometric model of the target structural part;

[0007] Performing a first finite element analysis on the geometric model to obtain a first finite element analysis result; wherein the solving constraint conditions of the first finite element analysis are set one by one according to the target structural part;

[0008] Optimizing the geometric model according to the first finite element analysis result to obtain a geometric optimization model;

[0009] Performing a second finite element analysis on the geometric optimization model to obtain a second finite element analysis result;

[0010] The geometric optimization model that meets the set result condition in the second finite element analysis result is taken as the weight optimization result; wherein the set result condition is set one by one according to the target structural part.

[0011] The weight optimization method of the injection molding machine structural part provided in the embodiments of the present application comprises the following steps: creating a geometric model of a target structural part, performing a first finite element analysis on the geometric model to obtain a first finite element analysis result, optimizing the geometric model according to the first finite element analysis result to obtain a geometric optimization model, performing a second finite element analysis on the geometric optimization model to obtain a second finite element analysis result, and taking the geometric optimization model that meets a set result condition as a weight optimization result. In this way, the installation thickness of the target structural part and the mold plate material can be reduced, and the control difficulty and material cost can be reduced.

[0012] As one of the optional embodiments, the solving constraint conditions of the first finite element analysis include material attribute constraint conditions, meshing constraint conditions, boundary constraint conditions and / or load application constraint conditions.

[0013] The first finite element analysis is a static force analysis.

[0014] As one of the optional embodiments, the material attribute constraint conditions include:

[0015] an elastic modulus E = 180-210 GPa;

[0016] a Poisson's ratio v = 0.26-0.28;

[0017] a density p = 7100-7500 kg / m 3 ;

[0018] and / or, the material is linear elastic.

[0019] As one of the optional embodiments, the meshing constraint conditions include the following steps:

[0020] the overall mesh and the local mesh of the geometric model; wherein the number of mesh units of the local mesh is greater than that of the overall mesh;

[0021] The boundary constraint conditions include the following steps:

[0022] limiting the degrees of freedom of a first target region in the geometric model.

[0023] As one of the optional embodiments, the load application constraint conditions include the following steps:

[0024] applying a locking force to a second target region in the geometric model; wherein the locking force is 300-2000 kN.

[0025] As one of the optional embodiments, the locking force is 1600 kN.

[0026] As one of the optional embodiments, the process of optimizing the geometric model according to the first finite element analysis result to obtain the geometric optimization model includes the following steps:

[0027] The static stress condition is determined by the result of the first finite element analysis, and the thickness optimization region and / or the stress reinforcement region are confirmed by superimposing the topology calculation;

[0028] The thickness of the thickness optimization region is reduced to obtain a geometric optimization model; and a stress structure is added to the stress reinforcement region to obtain a geometric optimization model.

[0029] As one of the optional embodiments, the result condition includes a stress distribution condition, a deformation distribution condition, and / or a fatigue analysis condition.

[0030] As one of the optional embodiments, the stress distribution condition includes:

[0031] The stress of the geometric optimization model is less than 120 Mpa;

[0032] The deformation distribution condition includes:

[0033] The deformation of the geometric optimization model is less than 0.056 mm;

[0034] The fatigue analysis condition includes:

[0035] The minimum fatigue life of the geometric optimization model is greater than 4.86*10^7 times.

[0036] As one of the optional embodiments, the target structure includes a head plate, a second plate, a tail plate, and a glue injection frame.

[0037] The embodiments of the present application also provide a weight optimization device for an injection molding machine structure, which comprises:

[0038] A model creation module is configured to create a geometric structure model of a target structure;

[0039] A first analysis module is configured to perform a first finite element analysis on the geometric structure model to obtain a first finite element analysis result; wherein a solving constraint condition of the first finite element analysis is set according to the target structure in a one-to-one manner;

[0040] A model optimization module is configured to optimize the geometric structure model according to the first finite element analysis result to obtain a geometric optimization model;

[0041] A second analysis module is configured to perform a second finite element analysis on the geometric optimization model to obtain a second finite element analysis result;

[0042] A result output module is configured to take the geometric optimization model, whose second finite element analysis result meets a set result condition, as a weight optimization result; wherein the set result condition is set according to the target structure in a one-to-one manner.

[0043] The weight optimization device of the injection molding machine structural part of the embodiment of the application creates a geometric model of a target structural part, performs a first finite element analysis on the geometric model, and obtains a first finite element analysis result. The geometric model is optimized according to the first finite element analysis result, and a geometric optimization model is obtained. A second finite element analysis is performed on the geometric optimization model, and a second finite element analysis result is obtained. The geometric optimization model that meets the set result condition of the second finite element analysis result is taken as a weight optimization result. Based on this, the installation thick surface and the template material of the target structural part are reduced, and the control difficulty and the material cost are reduced.

[0044] The data control device provided in at least one embodiment of the application comprises:

[0045] One or more memories non-transiently store computer executable instructions;

[0046] One or more processors are configured to run the computer executable instructions, and when the computer executable instructions are run by the one or more processors, the weight optimization method of the injection molding machine structural part according to any embodiment of the application is implemented.

[0047] The data control device described above, at least one embodiment of the application further provides a non-transient computer readable storage medium, wherein the non-transient computer readable storage medium stores computer executable instructions, and when the computer executable instructions are executed by a processor, the weight optimization method of the injection molding machine structural part according to any embodiment of the application is implemented.

[0048] The non-transient computer readable storage medium described above creates a geometric model of a target structural part, performs a first finite element analysis on the geometric model, and obtains a first finite element analysis result. The geometric model is optimized according to the first finite element analysis result, and a geometric optimization model is obtained. A second finite element analysis is performed on the geometric optimization model, and a second finite element analysis result is obtained. The geometric optimization model that meets the set result condition of the second finite element analysis result is taken as a weight optimization result. Based on this, the installation thick surface and the template material of the target structural part are reduced, and the control difficulty and the material cost are reduced. BRIEF DESCRIPTION OF DRAWINGS

[0049] Figure 1 The flowchart of the weight optimization method of the injection molding machine structural part of an embodiment of the application;

[0050] Figure 2 The schematic diagram of the geometric model of the head plate;

[0051] Figure 3 The schematic diagram of the boundary constraint simulation of the head plate;

[0052] Figure 4 The schematic diagram of the load application constraint simulation of the head plate;

[0053] Figure 5 Optimization for the first face of the head plate

[0054] Figure 6 Optimization for the second face of the head plate

[0055] Figure 7 Stress and deformation simulation for the head plate before optimization

[0056] Figure 8 Stress and deformation simulation for the head plate after optimization

[0057] Figure 9 Fatigue analysis simulation for the head plate

[0058] Figure 10 Geometry model for the two-plate

[0059] Figure 11 Optimization for the two-plate

[0060] Figure 12 Stress and deformation simulation for the two-plate before optimization

[0061] Figure 13 Stress and deformation simulation for the two-plate after optimization

[0062] Figure 14 Fatigue analysis simulation for the two-plate

[0063] Figure 15 Geometry model for the tail plate

[0064] Figure 16 Boundary constraint simulation for the tail plate

[0065] Figure 17 Load application constraint simulation for the tail plate

[0066] Figure 18 Optimization for the tail plate

[0067] Figure 19 Stress and deformation simulation for the tail plate before optimization

[0068] Figure 20 Stress and deformation simulation for the tail plate after optimization

[0069] Figure 21 Fatigue analysis simulation for the tail plate

[0070] Figure 22 Geometry model for the glue injection frame

[0071] Figure 23A simulation schematic diagram of boundary constraint of a shot frame;

[0072] Figure 24 A simulation schematic diagram of load constraint of a shot frame;

[0073] Figure 25 A simulation schematic diagram of stress and deformation of a shot frame before optimization;

[0074] Figure 26 A simulation schematic diagram of stress and deformation of a shot frame after optimization;

[0075] Figure 27 A simulation schematic diagram of fatigue analysis of a shot frame;

[0076] Figure 28 A module structure diagram of a weight optimization device of a structural part of an injection molding machine according to an embodiment;

[0077] Figure 29 A schematic block diagram of a data control device provided by the present application;

[0078] Figure 30 A schematic diagram of a non-transitory computer readable storage medium provided by the present application. DETAILED DESCRIPTION

[0079] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions of the embodiments of the present application will be described clearly and completely below with reference to the drawings of the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. Based on the described embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art without any creative effort fall within the scope of protection of the present application.

[0080] Unless otherwise defined, technical terms or scientific terms used in the present application shall be understood as their common meanings to those of ordinary skill in the art to which the present application pertains. The terms “first”, “second” and similar terms used in the present application do not represent any order, number or importance, but are only used to distinguish different components. The terms “include” or “contain” and similar terms mean that the components or objects before the terms encompass the components or objects listed after the terms and their equivalents, without excluding other components or objects. The terms “connect” or “connected” and similar terms are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. The terms “up”, “down”, “left”, “right” and the like are only used to represent relative positional relationships, and when the absolute positions of the described objects change, the relative positional relationships can also change accordingly.

[0081] For keeping the following description of the embodiments of the present application clear and brief, the detailed description of some known functions and known components is omitted.

[0082] The embodiments of the present application provide a weight optimization method of an injection molding machine structural part.

[0083] Figure 1 As shown in a flowchart of the weight optimization method of the injection molding machine structural part of an embodiment of the present application, Figure 1 The weight optimization method of the injection molding machine structural part of an embodiment of the present application includes steps S100 to S104:

[0084] S100, a geometric model of a target structural part is created;

[0085] S101, a first finite element analysis is performed on the geometric model to obtain a first finite element analysis result; wherein, the solving constraint condition of the first finite element analysis is set according to the target structural part one by one;

[0086] S102, the geometric model is optimized according to the first finite element analysis result to obtain a geometric optimization model, that is, on the first finite element analysis result, the software is used to perform topology optimization and shape optimization on the workpiece, the purpose of the topology optimization is to reduce unnecessary material in some places for weight reduction, and the purpose of the shape optimization is to improve the structure of a larger stress to avoid stress concentration;

[0087] S103, a second finite element analysis is performed on the geometric optimization model to obtain a second finite element analysis result, according to the second finite element analysis result, it is judged whether the requirement is met, if not, it is judged whether the weight reduction or the stress and strain is not met; the topology optimization is performed for weight reduction, and the shape optimization is performed for other requirements;

[0088] S104, the geometric optimization model meeting the set result condition of the second finite element analysis result is taken as a weight optimization result; wherein, the set result condition is set according to the target structural part one by one.

[0089] Wherein, the target structural part includes a head plate, a second plate, a tail plate and a glue injection frame. According to the different target structural parts, the solving constraint condition of the first finite element analysis and the set result condition exist corresponding set differences in the embodiments of the present application.

[0090] Wherein, the geometric model is constructed, and the corresponding model construction software can be selected according to the accuracy requirement of the solving constraint condition and the set result condition. Correspondingly, the execution subject of the finite element analysis can be used to import the geometric model and the geometric optimization model.

[0091] As one of the optional embodiments, the solution constraints of the one finite element analysis include material attribute constraints, meshing constraints, boundary constraints and / or load application constraints.

[0092] The one finite element analysis is a static analysis.

[0093] Preferably, the material attribute constraints include:

[0094] Elastic modulus E = 180-210 GPa;

[0095] Poisson's ratio v = 0.26-0.28;

[0096] Density p = 7100-7500 kg / m 3 ;

[0097] And / or, the material is linear elastic.

[0098] Preferably, the meshing constraints include steps of:

[0099] The overall mesh and the local mesh of the geometric model; wherein the number of mesh units of the local mesh is greater than that of the overall mesh;

[0100] The boundary constraints include steps of:

[0101] Restricting the degrees of freedom of the first target region in the geometric model.

[0102] Preferably, the load application constraints include steps of:

[0103] Applying a locking force to the second target region in the geometric model; wherein the locking force is 1600-2000 kN.

[0104] As one of the optional embodiments, the process of optimizing the geometric model according to the results of the one finite element analysis to obtain a geometric optimization model includes steps of:

[0105] Determining the static stress condition through the results of the one finite element analysis, and superimposing a topology calculation to confirm a thickness optimization region and / or a stress strengthening region;

[0106] Wherein, the thickness of the thickness optimization region is reduced to obtain the geometric optimization model; the stress strengthening region is added with a stress structure to obtain the geometric optimization model.

[0107] As one of the optional embodiments, the result conditions include stress distribution conditions, deformation distribution conditions and / or fatigue analysis conditions.

[0108] Preferably, the stress distribution conditions include:

[0109] The stress of the geometric optimization model is less than 120 Mpa;

[0110] Deformation distribution conditions include:

[0111] The deformation of the geometrically optimized model is less than 0.056 mm;

[0112] Fatigue analysis conditions include:

[0113] The minimum fatigue life of the geometrically optimized model is greater than 4.86 × 10^7 cycles.

[0114] As an explanation of the embodiments of this application, the following are embodiments of the target structural component.

[0115] Figure 2 A schematic diagram of the geometric structure model of the headplate, such as... Figure 2 As shown, a 3D geometric model of the headplate was created using SolidWorks, including detailed features such as mold contact surfaces, bolt holes, and reinforcing ribs. The geometric model was then imported into Abaqus / CAE software for finite element analysis.

[0116] Define the material property constraints for the headplate: Material: ductile iron (elastic modulus E = 190 GPa, Poisson's ratio ν = 0.27, density ρ = 7300 kg / m³). 3 Assuming the material is linearly elastic, this method is suitable for small deformation analysis.

[0117] Mesh constraints for the headplate are defined: the headplate is meshed using C3D10 (10-node tetrahedral elements). Local mesh refinement is performed near the mold contact surface and bolt holes to ensure computational accuracy in critical areas. The mesh size is approximately 500,000 elements.

[0118] like Figure 3 As shown, the boundary constraints of the head plate are defined as follows: the bolt holes that connect the head plate to the frame are fixed, restricting all its degrees of freedom.

[0119] like Figure 4 As shown, the load constraint condition for the head plate is defined as follows: a clamping force is applied at the connection of the clamping mechanism, with a maximum value of 1800kN.

[0120] Set the solution parameters for the finite element analysis: Analysis type: Static analysis (Static, General). Solver: Abaqus / Standard. Use the default iterative solution parameters to ensure computational convergence.

[0121] like Figure 5 and 6The geometric model of the head plate is optimized: the static stress condition is confirmed by finite element analysis, and on this basis, the topology algorithm is superimposed to confirm the thickness reduction. The structure of the injection molding head plate is designed to be lightweight, especially the recessed hollow area near the edge side and the reinforcement rib setting method, which meets the lightweight requirement on the basis of ensuring the stress requirement.

[0122] As shown in Figure 7 and 8 , the stress and deformation of the head plate before and after the geometric model optimization are compared: before optimization, the maximum stress of the head plate appears at the hole and the back connection, about 160Mpa. After optimization, the maximum stress also appears at the hole and the back connection, reaching 120MPa, which is not yet at the material stress yield. Compared with before optimization, the maximum stress amplitude is greatly reduced, and the stress concentration is improved. The stress concentration area is mainly distributed around the hole and the edge of the mold contact surface. The overall stress distribution is relatively uniform. The maximum deformation of the head plate before optimization is about 0.17mm, which appears in the center area of the head plate. After optimization, the maximum deformation is 0.15mm, which appears in the center area of the mold contact surface. Compared with before optimization, the deformation after optimization is more uniform. Deformation is mainly concentrated in the middle area, and the edge deformation is small. The overall stiffness meets the use requirements.

[0123] After topology optimization, the redundant material in the non-critical area is removed, and the weight of the head plate is reduced from 518.5kg to 461.9kg. The weight is reduced by 10.49%, achieving lightweight design.

[0124] As shown in Figure 9 , fatigue analysis is performed using the stress life method (S-N curve), and the minimum fatigue life of the head plate is 4.86x10^7 cycles, which appears at the edge of the mold connection. The fatigue life of most areas exceeds 7x10^7 cycles, meeting the constraint requirements.

[0125] Figure 10 The two-plate geometric model is shown in Figure 10 , a three-dimensional geometric model of the two-plate is created using SolidWorks, including the mold contact surface, bolt hole and reinforcement rib and other detailed features. The geometric model is imported into Abaqus / CAE software for finite element analysis.

[0126] Define the material attribute constraints of the two-plate: material: nodular cast iron QT500-7A. Assume that the material is linear elastic, suitable for small deformation analysis.

[0127] Define the meshing constraints of the two-plate: C3D10 (10-node tetrahedral element) is used to mesh the two-plate. Local mesh refinement is performed near the mold contact surface and bolt hole to ensure the calculation accuracy of the key area. The number of meshes: about 500,000 elements.

[0128] Define the boundary constraint condition of the two-plate: the bolt hole connecting the two-plate with the head plate and the tail plate, limiting all degrees of freedom.

[0129] Define the load application constraint condition of the head plate: apply the locking force in the middle of the two-plate, with a maximum value of 1800kN.

[0130] Set the solution parameters for finite element analysis: analysis type: static analysis (Static, General). Solver: Abaqus / Standard. Use the default iteration solution parameters to ensure convergence.

[0131] As shown in Figure 11 , perform the geometric model optimization of the two-plate: confirm the static stress condition through finite element analysis, and on this basis, superimpose the topology calculation to confirm the thickness reduction. Combine the actual situation to design the two-plate structure of the injection molding machine to be lightweight, mainly design the support rib in the middle support area, and increase the circular arc angle transition to reduce stress concentration, so that it has better economy, and the material is saved by about 11%.

[0132] As shown in Figure 12 and 13 , the maximum stress of the two-plate before optimization appears at the edge of the two-plate contact, about 160Mpa. After optimization, the maximum stress appears at the edge of the mold contact surface, reaching 120MPa. Compared with before optimization, the maximum stress amplitude is greatly reduced, and the stress concentration is improved. The stress concentration area is mainly distributed around the hole and the edge of the mold contact surface. The overall stress distribution is relatively uniform. Before optimization, the maximum deformation of the two-plate is about 0.10mm, which appears in the center of the two-plate. After optimization, the maximum deformation is 0.12mm, which appears in the center of the mold contact surface. Compared with before optimization, the deformation after optimization is more uniform. Deformation is mainly concentrated in the middle area, and the edge deformation is small. The overall stiffness meets the use requirements.

[0133] After topology optimization, the redundant material in the non-critical area is removed, and the weight of the two-plate is reduced from 603.2kg to 536.3kg. The weight is reduced by 11.09%, realizing lightweight design.

[0134] As shown in Figure 14 , fatigue analysis is performed using the stress life method (S-N curve), and the minimum fatigue life of the two-plate is 6.38×10^7 cycles, which appears at the edge of the mold contact surface. The fatigue life of most areas exceeds 7×10^7 cycles, meeting the design requirements.

[0135] Figure 15 The geometric model of the tail plate is shown in Figure 15As shown, a three-dimensional geometric model of the tail plate is created using SolidWorks, including details such as mold contact surfaces, bolt holes, and reinforcing ribs. The geometric model is imported into Abaqus / CAE software for finite element analysis.

[0136] Define the material property constraints of the tail plate: Material: Ductile Cast Iron (Elastic Modulus E = 190 GPa, Poisson's Ratio v = 0.27, Density p = 7300 kg / m 3 ). Assume the material is linear elastic, suitable for small deformation analysis.

[0137] Define the meshing constraints of the tail plate: Use C3D10 (10-node tetrahedral element) to mesh the tail plate. Local mesh refinement is performed near the mold contact surface and bolt hole to ensure the calculation accuracy of the key areas. The number of meshes: about 500,000 elements.

[0138] As shown in Figure 16 , define the boundary constraints of the tail plate: Fix the bolt holes of the tail plate connected to the frame, and restrict all degrees of freedom.

[0139] As shown in Figure 17 , define the load application constraints of the tail plate: Apply the locking force at the locking mechanism connection, with a maximum value of 1800kN.

[0140] Set the solution parameters for finite element analysis: Analysis type: Static analysis (Static, General). Solver: Abaqus / Standard. Use the default iterative solution parameters to ensure convergence.

[0141] As shown in Figure 18 , confirm the static stress situation through finite element analysis, and on this basis, superimpose the topology calculation to confirm the thickness reduction. The overall structure remains unchanged, and the wall thickness of the area with small static stress (blue area thickness 30mm changed to 15mm) is modified.

[0142] As shown in Figure 19 and 20 , the maximum stress of the tail plate before optimization appears in the tail plate cavity and connection part, about 120Mpa, and the maximum stress after optimization appears in the mold hole and connection part, reaching 120MPa. Compared with before optimization, the stress after optimization is basically the same. The stress concentration area is mainly distributed around the hole and the edge of the connection part. The overall stress distribution is relatively uniform. The maximum deformation of the tail plate before optimization is about 0.065mm, and the maximum deformation after optimization is 0.056mm, which appears in the connection part. Compared with before optimization, the deformation after optimization is basically the same as before optimization. Deformation mainly concentrates in the connection part, and the edge deformation is small. The overall stiffness meets the use requirements.

[0143] After topology optimization, the redundant material in non-critical areas is removed, and the weight of the tail plate is reduced from 564.4 kg to 531.3 kg. The weight is reduced by 5.86%, achieving lightweight design.

[0144] As Figure 21 shown, the stress life method (S-N curve) is used for fatigue analysis, and the minimum fatigue life of the tail plate is 5.04×10^7 cycles, which occurs at the edge of the mold contact surface. The fatigue life of most areas exceeds 7×10^7 cycles, meeting the design requirements.

[0145] Figure 22 The geometric model of the injection frame is shown in Figure 22 , and the three-dimensional geometric model of the injection frame is created using SolidWorks, including the mold contact surface, bolt hole and reinforcing rib, etc. The geometric model is imported into Abaqus / CAE software for finite element analysis.

[0146] Define the material properties of the injection frame: material: ductile cast iron (elastic modulus E=190 GPa, Poisson's ratio v=0.27, density p=7300 kg / m 3 ). Assume that the material is linear elastic, suitable for small deformation analysis.

[0147] Define the meshing constraints of the injection frame: use C3D10 (10-node tetrahedral element) to mesh the injection frame. Local mesh refinement is performed near the mold contact surface and bolt hole to ensure the calculation accuracy of the key area. The number of grids: about 500,000 elements.

[0148] As Figure 23 shown, define the boundary constraints of the injection frame: fix the tail hole of the injection frame and restrict all its degrees of freedom.

[0149] As Figure 24 shown, apply a concentrated force to the head of the injection frame, with a maximum value of 340 kN.

[0150] Set the solution parameters of the finite element analysis: analysis type: static analysis (Static, General). Solver: Abaqus / Standard. Use the default iterative solution parameters to ensure convergence.

[0151] As Figure 25 and 26As shown, the maximum stress before the injection frame optimization is about 120 MPa. After optimization, the maximum stress appears in the mold hole and the connection site, reaching 120 MPa. Compared with before optimization, the stress distribution is basically consistent. The stress concentration area is mainly distributed around the hole and the edge of the connection site. The maximum deformation before the injection frame optimization is about 0.22 mm. After optimization, the maximum deformation is 0.30 mm, which appears in the connection site. Compared with before optimization, the deformation after optimization is basically consistent. The deformation is mainly concentrated in the head connection site, and the tail deformation is smaller. The overall stiffness meets the use requirements.

[0152] After topological optimization, the redundant material in the non-critical area is removed, and the weight of the injection frame is reduced from 494.8 kg to 465.8 kg. The weight is reduced by 5.59%, achieving lightweight design.

[0153] As shown in Figure 27 , using the stress life method (S-N curve) for fatigue analysis, the minimum fatigue life of the injection frame is 6.99 x 10^7 cycles, which appears in the mold tail hole. The fatigue life of most areas exceeds 7 x 10^7 cycles, meeting the design requirements.

[0154] As shown in Table 1 below, through topological optimization, shape optimization and size optimization, the performance of the head plate, the second plate, the tail plate and the injection frame has been significantly improved.

[0155] Table 1 Comparison before and after optimization

[0156]

[0157] Stress distribution: The maximum stress value is significantly reduced, and the stress concentration phenomenon is effectively improved.

[0158] Deformation: The maximum deformation is reduced, and the structural stiffness is significantly improved.

[0159] Weight reduction: The weight of the head plate, the second plate, the tail plate and the injection frame is reduced by 10.49%, 11.09%, 5.86% and 5.59% respectively, achieving lightweight design.

[0160] The fatigue analysis results based on Fe-Safe show that: Fatigue life: The minimum fatigue life of the head plate, the second plate, the tail plate and the injection frame is 4.86 x 10^7, 6.38 x 10^7, 5.04 x 10^7 and 6.99 x 10^7 cycles respectively, meeting the design requirements. Optimization design significantly improves the stress distribution and deformation of the head plate, the second plate, the tail plate and the injection frame, and improves the stiffness of the structure. The fatigue performance of the optimized structure under cyclic loading is significantly improved.

[0161] The weight optimization method of the injection molding machine structural part of any embodiment of the application optimizes the weight of the injection molding machine structural part, creates a geometric model of a target structural part, performs a first finite element analysis on the geometric model to obtain a first finite element analysis result. The geometric model is optimized according to the first finite element analysis result to obtain a geometric optimization model. A second finite element analysis is performed on the geometric optimization model to obtain a second finite element analysis result. The geometric optimization model that meets the set result condition of the second finite element analysis result is taken as the weight optimization result. Based on this, the installation thick surface and the template material of the target structural part are reduced, and the control difficulty and the material cost are reduced.

[0162] The weight optimization device of the injection molding machine structural part is also provided in the embodiments of the application.

[0163] Figure 28 The module structure diagram of the weight optimization device of the injection molding machine structural part of an embodiment is shown in FIG. 1, and the weight optimization device of the injection molding machine structural part of an embodiment includes: Figure 28

[0164] The model creation module 100 is configured to create a geometric model of a target structural part.

[0165] The first analysis module 101 is configured to perform a first finite element analysis on the geometric model to obtain a first finite element analysis result. The solving constraint condition of the first finite element analysis is set in one-to-one correspondence with the target structural part.

[0166] The model optimization module 102 is configured to optimize the geometric model according to the first finite element analysis result to obtain a geometric optimization model.

[0167] The second analysis module 103 is configured to perform a second finite element analysis on the geometric optimization model to obtain a second finite element analysis result.

[0168] The result output module 104 is configured to take the geometric optimization model that meets the set result condition of the second finite element analysis result as the weight optimization result. The set result condition is set in one-to-one correspondence with the target structural part.

[0169] The weight optimization device of the injection molding machine structural part of the embodiments of the application creates a geometric model of a target structural part, performs a first finite element analysis on the geometric model to obtain a first finite element analysis result. The geometric model is optimized according to the first finite element analysis result to obtain a geometric optimization model. A second finite element analysis is performed on the geometric optimization model to obtain a second finite element analysis result. The geometric optimization model that meets the set result condition of the second finite element analysis result is taken as the weight optimization result. Based on this, the installation thick surface and the template material of the target structural part are reduced, and the control difficulty and the material cost are reduced.

[0170] ​The data control device provided in at least one embodiment of the present application also provides a data control device. Figure 29 A schematic block diagram of a data control device provided in at least one embodiment of the present application is shown in FIG. 20. For example, as shown in FIG. 20, the data control device 20 can include one or more memories 200 and one or more processors 201. The memory 200 is configured to store computer-executable instructions non-transitorily; and the processor 201 is configured to execute the computer-executable instructions, which can cause the processor 201 to perform one or more steps of the weight optimization method of the injection molding machine structural member according to any embodiment of the present application when the computer-executable instructions are executed by the processor 201. Figure 29

[0171] The specific implementation of each step of the weight optimization method of the injection molding machine structural member and the related explanations can be referred to the related content in the above-mentioned embodiments of the weight optimization method of the injection molding machine structural member, which will not be repeated here. It should be noted that, Figure 29 The components of the data control device 20 shown in FIG. 20 are only exemplary and are not limiting, and the data control device 20 can also have other components according to actual application needs.

[0172] In one embodiment, the processor 201 and the memory 200 can directly or indirectly communicate with each other. For example, the processor 201 and the memory 200 can communicate through a network connection. The network can include a wireless network, a wired network, and / or any combination of a wireless network and a wired network, and the type and function of the network are not limited herein. For another example, the processor 201 and the memory 200 can also communicate through a bus connection. The bus can be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. For example, the processor 201 and the memory 200 can be disposed at a remote data server end (cloud end) or a distributed energy system end (local end), and can also be disposed at a client end (for example, a mobile device such as a mobile phone, etc.). For example, the processor 201 can be a central processing unit (CPU), a tensor processing unit (TPU), or a graphics processing unit (GPU), etc. which has data processing capability and / or instruction execution capability, and can control other components in the data control device 20 to perform desired functions. The central processing unit (CPU) can be X86 or ARM architecture, etc.

[0173] ​In one of the embodiments, the memory 200 can include any combination of one or more computer program products. The computer program product can include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory, for example, can include random access memory (RAM), cache memory, and / or the like. The non-volatile memory, for example, can include read only memory (ROM), hard disk, erasable programmable read only memory (EPROM), compact disk read only memory (CD-ROM), USB memory, flash memory, and / or the like. One or more computer-executable instructions can be stored on the computer-readable storage media. The processor 201 can execute the computer-executable instructions to implement various functions of the data control device 20. Various application programs and various data used and / or generated by the application programs can also be stored in the memory 200.

[0174] It should be noted that the data control device 20 can achieve similar technical effects as the weight optimization method of the injection molding machine structure, and the repeated parts will not be described again.

[0175] At least one embodiment of the present application also provides a non-transitory computer-readable storage medium. Figure 30 A schematic diagram of a non-transitory computer-readable storage medium provided by at least one embodiment of the present application is shown. For example, as shown in Figure 30 The one or more computer-executable instructions 301 can be stored on the non-transitory computer-readable storage medium 30. For example, when the computer-executable instructions 301 are executed by a computer, the computer can be caused to perform one or more steps of the weight optimization method of the injection molding machine structure according to any embodiment of the present application.

[0176] In one of the embodiments, the non-transitory computer-readable storage medium 30 can be applied to the data control device 20 described above, for example, it can be the memory 200 in the data control device 20.

[0177] In one of the embodiments, the description of the non-transitory computer-readable storage medium 30 can refer to the description of the memory 200 in the embodiment of the data control device 20, and the repeated parts will not be described again.

[0178] It should be noted that the memory 200 stores different non-transitory computer-executable instructions, and the data control device 20 corresponds to a firmware upgrade device. When the computer-executable instructions are executed by the processor 201, the processor 201 can be caused to perform one or more steps of the weight optimization method of the injection molding machine structure according to any embodiment of the present application.

[0179] For the present application, the following points also need to be explained:

[0180] (1) The drawings of the embodiments of the present application only relate to the structures involved in the embodiments of the present application, and other structures can refer to the general design.

[0181] (2) In the drawings used to describe the embodiments of the present application, the thickness and size of the layers or structures are exaggerated for clarity. It can be understood that when an element such as a layer, film, region or substrate is referred to as being "on" or "under" another element, it can be "directly" on or under the other element, or there can be an intermediate element.

[0182] (3) The embodiments of the present application and the features in the embodiments can be combined with each other to obtain new embodiments without conflict. The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto, and the protection scope of the present application should be subject to the protection scope of the claims.

[0183] The technical features of the above embodiments can be combined arbitrarily, and in order to make the description simple, not all possible combinations of the technical features in the above embodiments are described, however, as long as the combination of the technical features does not exist contradictory, it should be considered as the scope of the present application.

Claims

1. A method of weight optimization of an injection molding machine structure, characterized in that, The method comprises the steps of: creating a geometric model of a target structure; performing a first finite element analysis on the geometric model to obtain a first finite element analysis result; wherein the solving constraint conditions of the first finite element analysis are set in one-to-one correspondence with the target structure; optimizing the geometric model according to the first finite element analysis result to obtain a geometric optimization model; performing a second finite element analysis on the geometric optimization model to obtain a second finite element analysis result; taking the geometric optimization model that meets a set result condition of the second finite element analysis result as a weight optimization result; wherein the set result condition is set in one-to-one correspondence with the target structure.

2. The method of weight optimization of an injection molding machine structure of claim 1, wherein, The solving constraint conditions of the first finite element analysis include material property constraint conditions, mesh division constraint conditions, boundary constraint conditions, and / or load application constraint conditions; The first finite element analysis is a static analysis.

3. The method of weight optimization of an injection molding machine structure of claim 2, wherein, The material property constraint conditions include: elastic modulus E = 180-210 GPa; Poisson's ratio v = 0.26-0.28; Density p = 7100 - 7500 kg / m 3 ; and / or, the material is linearly elastic.

4. The method of weight optimization of an injection molding machine structure of claim 2, wherein, The mesh division constraint conditions include the steps of: the geometric model has a global mesh and a local mesh; wherein the number of mesh units of the local mesh is greater than that of the global mesh; The boundary constraint conditions include the steps of: limiting the degrees of freedom of a first target region in the geometric model.

5. The method of weight optimization of an injection molding machine structure of claim 2, wherein, The load application constraint conditions include the steps of: applying a locking force to a second target region in the geometric model; wherein the locking force is 300-2000 kN.

6. The method of weight optimization of an injection molding machine structure of claim 1, wherein, The process of optimizing the geometric model according to the first finite element analysis result to obtain a geometric optimization model includes the steps of: determining a static stress condition through the first finite element analysis result, and superimposing a topology calculation to confirm a thickness optimization region and / or a stress strengthening region; wherein the thickness of the thickness optimization region is reduced to obtain the geometric optimization model; and a stress structure is added to the stress strengthening region to obtain the geometric optimization model.

7. The method of weight optimization of an injection molding machine structure of claim 1, wherein, The set result condition includes a stress distribution condition, a deformation distribution condition, and / or a fatigue analysis condition.

8. The method of weight optimization of an injection molding machine structure of claim 7, wherein, The stress distribution condition includes: the stress of the geometric optimization model is less than 120 MPa; The deformation distribution condition includes: the deformation of the geometric optimization model is less than 0.056 mm; The fatigue analysis condition includes: the minimum fatigue life of the geometric optimization model is greater than 4.86×10^7 times.

9. The method of weight optimization of an injection molding machine structure according to any one of claims 1-8, characterized in that, The target structure includes a head plate, a second plate, a tail plate, and a glue injection frame.

10. A weight optimization apparatus for injection molding machine structures, characterized by, The method comprises: a model creation module for creating a geometric model of a target structure; a first analysis module for performing a first finite element analysis on the geometric model to obtain a first finite element analysis result; wherein the solving constraint conditions of the first finite element analysis are set in one-to-one correspondence with the target structure; a model optimization module for optimizing the geometric model according to the first finite element analysis result to obtain a geometric optimization model; a second analysis module for performing a second finite element analysis on the geometric optimization model to obtain a second finite element analysis result; A result output module is configured to output the geometric optimization model, for which the secondary finite element analysis result satisfies a set result condition, as a weight optimization result. The set result condition is set according to the target structure in a one-to-one manner.

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