Methods, apparatus, electronic devices and readable storage media for optimizing plastic molding processes

Abstract

This application discloses a method, apparatus, electronic device, and readable storage medium for optimizing plastic molding processes. The method includes: acquiring input injection molding machine parameters and motor control parameters of an all-electric injection molding machine; constructing a digital model of the injection molding machine based on the injection molding machine parameters; and constructing a digital model of the motor control system based on the motor control parameters; integrating and coupling the digital model of the injection molding machine and the digital model of the motor control system to construct a virtual all-electric injection molding digital prototype; acquiring an imported simulation mold; and adjusting the injection parameters of the virtual all-electric injection molding digital prototype to perform simulation trials on the simulation mold; and optimizing the plastic molding process based on the trial results and injection parameters. This application can improve the accuracy of plastic molding process optimization.

Description

Technical Field

[0001] This application relates to the field of plastic molding technology, and in particular to a method, apparatus, electronic device and readable storage medium for optimizing plastic molding process. Background Technology

[0002] The purpose of process optimization is to enable injection molded products to be produced better and faster. Traditional plastic molding process optimization focuses more on optimizing the injection mold; the specific process can be found in [reference needed]. Figure 1 When new product requirements are introduced, preliminary mold design and initial mold flow analysis are required, followed by detailed mold design, mold manufacturing, and trial molding. If molding defects are found during trial molding, mold flow analysis needs to be performed again, the mold design scheme adjusted, and detailed mold design, mold manufacturing, and trial molding repeated until the molding quality of the trial molded product meets the standards and is put into mass production.

[0003] However, the quality of injection molded products depends not only on the structure of the mold itself, but also to a large extent on the mechanical equipment of the injection molding machine (deformation, vibration, etc.) and the motor and electrical control parameters. This means that even if the injection mold itself is not problematic, but the vibration, fatigue deformation, or other issues of the injection molding machine's mechanical equipment, or the motor and electrical control parameters of the injection molding machine affect the product molding quality, those skilled in the art will have a lower accuracy in optimizing the plastic molding process. This means that they are prone to blindly repairing the injection mold, which greatly increases the cost of mold repair and prolongs the mold repair cycle. Summary of the Invention

[0004] The main objective of this application is to provide a method, apparatus, electronic device, and readable storage medium for optimizing plastic molding processes, aiming to improve the accuracy of plastic molding process optimization, thereby reducing the cost of mold repair and shortening the mold repair cycle.

[0005] To achieve the above objectives, this application provides a method for optimizing a plastic molding process, the method comprising:

[0006] The system obtains the injection molding machine parameters and motor control parameters of the all-electric injection molding machine. Based on the injection molding machine parameters, it constructs a digital model of the injection molding machine and a digital model of the motor control system of the all-electric injection molding machine.

[0007] By integrating and coupling the digital model of the injection molding machine and the digital model of the motor and electronic control system, a virtual all-electric injection molding digital prototype is constructed.

[0008] The imported simulation mold is obtained, and the injection parameters of the virtual all-electric injection molding digital prototype are adjusted so that the simulation mold can be simulated and tested using the virtual all-electric injection molding digital prototype. The plastic molding process is then optimized based on the simulation test results and injection parameters.

[0009] Optionally, the plastic molding process includes the mold manufacturing process of a real plastic mold and the injection molding process of a real all-electric injection molding machine. The step of optimizing the plastic molding process based on the trial molding results and injection parameters of the simulation trial molding includes:

[0010] If the number of times the injection parameters of the virtual all-electric injection molding digital prototype are debugged reaches a preset threshold, and the debugging range of the injection parameters of the virtual all-electric injection molding digital prototype reaches a preset range threshold, and the mold trial results of the simulation mold trial are all unqualified, then the prompt message that the simulation mold design is unqualified will be output.

[0011] If the simulation trial molding result is that the trial molding is qualified, then the injection molding process is optimized according to the injection molding parameters of the virtual all-electric injection molding digital prototype when the trial molding is qualified, and the mold manufacturing process is optimized according to the mold parameters of the simulation mold when the trial molding is qualified.

[0012] Optionally, the injection molding machine parameters include the three-dimensional dimensional parameters, material property parameters, mass parameters, and inertia parameters of the injection molding machine. The step of constructing a digital model of the all-electric injection molding machine based on the injection molding machine parameters includes:

[0013] A three-dimensional physical model of the injection molding machine is established based on the aforementioned three-dimensional dimensional parameters;

[0014] By associating and coupling the three-dimensional physical model of the equipment with the material property parameters, the mass parameters, and the inertia parameters, a digital model of the all-electric injection molding machine is constructed.

[0015] Optionally, the motor control parameters include the motor TN characteristic parameters and the motor TI characteristic parameters, and the step of constructing a digital model of the motor control of the all-electric injection molding machine based on the motor control parameters includes:

[0016] Obtain a pre-established three-dimensional physical model of the motor, and the corresponding driving code of the three-dimensional physical model of the motor;

[0017] By associating and coupling the three-dimensional physical model of the motor, the driving code, the TN characteristic parameters of the motor, and the TI characteristic parameters of the motor, a digital model of the motor control of the all-electric injection molding machine is constructed.

[0018] Optionally, prior to the step of obtaining the imported simulation mold, the method further includes:

[0019] Obtain the target product parameters, and perform 3D mold design based on the target product parameters to obtain a preliminary mold design.

[0020] Perform mold flow analysis on the preliminary mold design, generate a mold flow analysis test report, and determine whether the mold flow analysis test report meets the quality requirements of product molding;

[0021] If the mold does not meet the quality requirements for product molding, the preliminary design mold is calibrated according to the mold flow analysis test report, and the calibrated preliminary design mold is subjected to mold flow analysis to generate a mold flow analysis test report. Then, the process returns to the step of determining whether the mold flow analysis test report meets the quality requirements for product molding.

[0022] If the product molding quality requirements are met, the preliminary design mold that meets the quality requirements will be used as the simulation mold to be imported.

[0023] Optionally, the step of integrating and coupling the digital model of the injection molding machine and the digital model of the motor and electronic control system to construct a virtual all-electric injection molding digital prototype includes:

[0024] Obtain the actual injection molding machine parameters of the real all-electric injection molding machine, and calibrate the dynamic characteristics and / or mechanical modes of the digital model of the injection molding machine based on the actual injection molding machine parameters to obtain the calibrated digital model of the injection molding machine.

[0025] Obtain the actual motor and electronic control parameters of a real all-electric injection molding machine, and calibrate the motor TN characteristics and / or motor TI characteristics of the motor electronic control digital model based on the actual motor and electronic control parameters to obtain the calibrated motor electronic control digital model;

[0026] The calibrated digital model of the injection molding machine and the calibrated digital model of the motor and electronic control system are integrated and coupled to construct a virtual all-electric injection molding digital prototype.

[0027] Optionally, after the step of integrating and coupling the calibrated digital model of the injection molding machine and the calibrated digital model of the motor and electronic control system to construct a virtual all-electric injection molding digital prototype, the method further includes:

[0028] Based on the actual injection molding machine parameters and the actual motor control parameters, the finite element prototype model corresponding to the virtual all-electric injection molding digital prototype is iteratively calibrated to obtain the latest virtual all-electric injection molding digital prototype.

[0029] This application also provides a plastic molding process optimization device, the plastic molding process optimization device comprising:

[0030] The system modeling unit is used to acquire the input injection machinery equipment parameters and motor control parameters of the all-electric injection molding machine, construct a digital model of the injection machinery equipment of the all-electric injection molding machine based on the injection machinery equipment parameters, and construct a digital model of the motor control of the all-electric injection molding machine based on the motor control parameters.

[0031] The system calibration unit is used to integrate and couple the digital model of the injection molding machine and the digital model of the motor and electronic control to construct a virtual all-electric injection molding digital prototype;

[0032] The system calibration unit is also used to acquire the imported simulation mold and adjust the injection parameters of the virtual all-electric injection molding digital prototype, so as to conduct simulation mold testing on the simulation mold through the virtual all-electric injection molding digital prototype, and optimize the plastic molding process based on the mold testing results and injection parameters.

[0033] This application also provides an electronic device, which is a physical device, comprising: a memory, a processor, and a program of the plastic molding process optimization method stored in the memory and executable on the processor. When the program of the plastic molding process optimization method is executed by the processor, it can implement the steps of the plastic molding process optimization method as described above.

[0034] This application also provides a readable storage medium, which is a computer-readable storage medium, storing a program for implementing a plastic molding process optimization method. The program for implementing the plastic molding process optimization method is executed by a processor to implement the steps of the plastic molding process optimization method described above.

[0035] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the plastic molding process optimization method described above.

[0036] The technical solution of this application involves acquiring the injection molding machinery parameters and motor control parameters of an all-electric injection molding machine, constructing a digital model of the injection molding machinery based on the injection molding machinery parameters, and constructing a digital model of the motor control system based on the motor control parameters. Then, the injection molding machinery digital model and the motor control digital model are integrated and coupled to construct a virtual all-electric injection molding digital prototype. This virtual all-electric injection molding digital prototype possesses assembly attributes. The dynamic mechanical characteristics, modal characteristics, and motor control characteristics of each component (e.g., motor components, injection components, and clamping components) in the virtual all-electric injection molding digital prototype are coupled, enabling the virtual all-electric injection molding digital prototype to simulate the motion attributes and mechanics of an actual injection molding machine. The performance is ensured by replicating the actual motion attributes and mechanical properties of the clamping mechanism under different electrical control parameter settings in the virtual all-electric injection molding digital prototype as accurately as possible. This ensures the simulation reliability of the virtual all-electric injection molding digital prototype. By acquiring the imported simulation mold and adjusting the injection parameters of the virtual all-electric injection molding digital prototype, the simulation mold can be tested using the virtual all-electric injection molding digital prototype. Based on the test results and injection parameters, the plastic molding process can be optimized. This ensures that the simulation test can guide the subsequent optimization of the motor and electrical control parameters in the real all-electric injection molding machine, the structural optimization of the clamping mechanism, etc. (which may also include the structural optimization of the simulation mold), thereby improving the injection molding performance of the real all-electric injection molding machine and ensuring the quality of the injection molded products.

[0037] Traditional plastic molding process optimization focuses primarily on mold optimization (even when considering injection molding machine optimization, it often prioritizes the characteristics of the injection material and injection temperature). However, the quality of the finished product depends not only on the mold's structure but also significantly on the injection molding machine's mechanical components (deformation, vibration, etc.) and motor / electrical control parameters. Therefore, even when the mold itself is not faulty, but the machine's vibration, fatigue deformation, or motor / electrical control parameters negatively impact product quality, those skilled in the art may blindly attempt mold repair, drastically increasing repair costs and cycles. This application addresses this issue by focusing on the injection molding process... Building upon mold optimization, this application focuses even more on injection molding process parameters. These parameters include not only the injection material and injection temperature, but also the vibration, fatigue deformation, and lifespan of the injection molding machine itself, as well as the impact of motor and electronic control on the final product molding. This avoids the situation where, even when the mold itself is not faulty, vibration, fatigue deformation of the injection molding machine, or the motor and electronic control parameters of the injection molding machine negatively affect the product molding quality, leading to increased mold repair costs and extended repair cycles. Consequently, this application improves the accuracy of plastic molding process optimization, reduces mold repair costs, and shortens the mold repair cycle. Attached Figure Description

[0038] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0039] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0040] Figure 1 A flowchart illustrating the optimization process of existing plastic molding techniques;

[0041] Figure 2 This is a schematic flowchart of the first embodiment of the plastic molding process optimization method of this application;

[0042] Figure 3 This is a schematic flowchart of the second embodiment of the plastic molding process optimization method of this application;

[0043] Figure 4This is a schematic flowchart of the improved plastic molding process optimization process in one embodiment of this application;

[0044] Figure 5 This is a detailed flowchart of step S20 in the third embodiment of the plastic molding process optimization method of this application;

[0045] Figure 6 This is a schematic diagram of the system flow of a virtual all-electric injection molding digital prototype in one embodiment of this application;

[0046] Figure 7 This is a schematic diagram of the inverted V development process according to an embodiment of this application;

[0047] Figure 8 for Figure 6 A detailed flowchart of the service portion of the system;

[0048] Figure 9 This is a schematic diagram of the device modules of the plastic molding process optimization apparatus in the embodiments of this application;

[0049] Figure 10 This is a schematic diagram of the device structure of the hardware operating environment involved in the electronic device in the embodiments of this application.

[0050] The purpose, features, and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0051] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0052] Example 1

[0053] The quality of injection molded products depends not only on the structure of the mold itself, but also significantly on the mechanical components of the injection molding machine (deformation, vibration, etc.) and its motor and electrical control parameters. Currently, when the injection mold itself is not faulty, but the vibration, fatigue deformation, or other issues with the injection molding machine's mechanical components, or the motor and electrical control parameters of the injection molding machine, affect the product molding quality, those skilled in the art are prone to blindly modifying the injection mold. This results in low accuracy in optimizing the plastic molding process, thereby increasing the cost of mold modification and extending the mold modification cycle.

[0054] Based on this, please refer to Figure 2This embodiment provides a method for optimizing a plastic molding process, the method comprising:

[0055] Step S10: Obtain the input injection machinery equipment parameters and motor control parameters of the all-electric injection molding machine; construct a digital model of the injection machinery equipment of the all-electric injection molding machine based on the injection machinery equipment parameters; and construct a digital model of the motor control of the all-electric injection molding machine based on the motor control parameters.

[0056] For example, the injection molding machine parameters include the three-dimensional dimensional parameters, material property parameters, mass parameters, and inertia parameters of the injection molding machine. The step of constructing a digital model of the all-electric injection molding machine based on the injection molding machine parameters includes:

[0057] Step A10: Establish a three-dimensional physical model of the injection molding machine based on the three-dimensional dimensional parameters;

[0058] In this embodiment, the three-dimensional physical model of the equipment refers to the three-dimensional model of the injection molding machine in the simulation environment. The three-dimensional physical model of the equipment is a physical model that is not associated with other related attribute information (such as material attribute parameters), and it represents the three-dimensional shape and three-dimensional size information of each component in the injection molding machine.

[0059] Step A20: The three-dimensional physical model of the equipment is coupled with the material property parameters, the mass parameters and the inertia parameters to construct a digital model of the all-electric injection molding machine.

[0060] In this embodiment, the injection molding machine parameters refer to the mechanical equipment parameters that affect the kinematic and mechanical characteristics of the injection molding machine (such as clamping force repeatability, holding pressure repeatability, and injection repeatability) or mechanical modes (which characterize the inherent vibration characteristics of the injection molding machine). Examples include the injection molding machine's three-dimensional dimensional parameters, material property parameters (which involve mechanical properties such as strength and stiffness), mass parameters, and inertia parameters. It is easy to understand that the three-dimensional dimensional parameters characterize the dimensional information of each component in the injection molding machine (including the clamping component and the injection component), the material property parameters characterize the materials used to construct each component, the mass parameters characterize the weight of each component, and the inertia parameters characterize the inertial magnitude of the movement of each component.

[0061] For example, the motor control parameters include the motor TN characteristic parameters and the motor TI characteristic parameters, and the step of constructing a digital model of the motor control of the all-electric injection molding machine based on the motor control parameters includes:

[0062] Step B10: Obtain the pre-established three-dimensional physical model of the motor and the corresponding driving code of the three-dimensional physical model of the motor;

[0063] In this embodiment, the three-dimensional physical model of the motor refers to the three-dimensional model of the motor in the simulation environment. The three-dimensional physical model of the motor is a physical model that is not associated with other related attribute information (such as the TN characteristics of the motor), and it represents the three-dimensional shape and three-dimensional size information of the motor.

[0064] Those skilled in the art will understand that the driving code corresponding to the three-dimensional physical model of the motor is code information used to drive the rotation and pose changes (including spatial position changes and rotation angle changes) of the motor. The driving code can characterize the operating logic information of the motor's rotation and pose changes after being powered on.

[0065] Step B20: The motor 3D physical model, the drive code, the motor TN characteristic parameters and the motor TI characteristic parameters are coupled together to construct the motor control digital model of the all-electric injection molding machine.

[0066] In this embodiment, the motor control parameters refer to the electrical control parameters of the motor components that provide driving performance in the injection molding machine. These parameters characterize the mechanical characteristics of the injection molding machine, such as the clamping force. For example, these motor control parameters can be the TN characteristic parameters and the TI characteristic parameters of the motor. Those skilled in the art will understand that the TN characteristic parameter characterizes the relationship between the motor's torque and speed, while the TI characteristic parameter characterizes the relationship between the motor's torque and current.

[0067] After step S10, step S20 is executed to integrate and couple the digital model of the injection molding machine and the digital model of the motor and electronic control system to construct a virtual all-electric injection molding digital prototype.

[0068] Step S30: Obtain the imported simulation mold and adjust the injection parameters of the virtual all-electric injection molding digital prototype to perform simulation molding trials on the simulation mold through the virtual all-electric injection molding digital prototype, and optimize the plastic molding process based on the molding trial results and injection parameters.

[0069] In this embodiment, the simulated mold refers to a virtual three-dimensional mold designed by engineers for the plastic product to be produced. Those skilled in the art will understand that the injection molding parameters may include injection temperature, injection pressure, holding pressure, holding time, cooling time, clamping force, etc.

[0070] This embodiment acquires the injection molding machinery parameters and motor control parameters of the input all-electric injection molding machine. Based on the injection molding machinery parameters, a digital model of the all-electric injection molding machine is constructed. Based on the motor control parameters, a digital model of the all-electric injection molding machine's motor control is constructed. Then, the injection molding machinery digital model and the motor control digital model are integrated and coupled to construct a virtual all-electric injection molding digital prototype. This virtual all-electric injection molding digital prototype possesses assembly attributes. The dynamic mechanical characteristics, modal characteristics, and motor control characteristics of each component (e.g., motor components, injection components, and clamping components) in the virtual all-electric injection molding digital prototype are coupled, enabling the virtual all-electric injection molding digital prototype to simulate the motion attributes and mechanical performance of an actual injection molding machine. This ensures that the virtual all-electric injection molding digital prototype accurately reproduces the actual motion attributes and mechanical properties of the clamping mechanism under different electrical control parameter settings, thereby ensuring the simulation reliability of the virtual all-electric injection molding digital prototype. By acquiring imported simulation molds and adjusting the injection parameters of the virtual all-electric injection molding digital prototype, simulation trials can be conducted on the simulation molds. Based on the trial results and injection parameters, the plastic molding process can be optimized. This ensures that the simulation trials can guide subsequent optimization of the motor and electrical control parameters in the real all-electric injection molding machine, the structure of the clamping mechanism, etc. (which may also include the structure optimization of the simulation mold), thereby improving the injection molding process performance of the real all-electric injection molding machine and ensuring the quality of the injection molded products.

[0071] Traditional plastic molding process optimization focuses primarily on mold optimization (even when considering injection molding machine optimization, it often prioritizes the characteristics of the injection material and injection temperature). However, the quality of the finished product depends not only on the mold's structure but also significantly on the injection molding machine's mechanical components (deformation, vibration, etc.) and motor / electrical control parameters. Therefore, even when the mold itself is sound, but vibration, fatigue deformation, or other issues with the injection molding machine's mechanical components negatively impact product quality, those skilled in the art may blindly attempt mold repair, drastically increasing repair costs and cycles. This embodiment addresses this by focusing on the injection molding process... Building upon mold optimization, this approach also focuses on injection molding process parameters. These parameters encompass not only the injection material and injection temperature, but also the vibration, fatigue deformation, and lifespan of the injection molding machine itself, as well as the impact of motor and electronic control on the final product. This avoids the situation where, even when the mold itself is not faulty, vibration, fatigue deformation, or the machine's motor and electronic control parameters negatively affect product quality, blindly repairing the mold would increase repair costs and extend the repair cycle. Consequently, this embodiment improves the accuracy of plastic molding process optimization, reduces mold repair costs, and shortens the mold repair cycle.

[0072] Compared to traditional injection molding process optimization methods, this embodiment has several advantages:

[0073] (1) The virtual all-electric injection molding digital prototype simulated by the real all-electric injection molding machine in this embodiment can detect more information than the traditional method. It is not limited to traditional information such as injection temperature and injection pressure, but can also observe the deformation, vibration and life of mechanical equipment.

[0074] (2) Compared with traditional physical prototype testing, users can intuitively see the debugging effect on the virtual all-electric injection molding digital prototype, which can speed up the testing efficiency and accelerate the research and development progress.

[0075] (3) Compared to testing through a physical prototype of a real all-electric injection molding machine, testing in a virtual environment can save a lot of costs.

[0076] (4) It can intuitively reflect the effect of motor control and positively optimize the design of motor control.

[0077] (5) By establishing a virtual all-electric injection molding digital prototype, the methods for optimizing the all-electric injection molding process can be expanded. It will not be limited to the optimization of the mold, but can broaden the optimization points to mechanical equipment and motor control, and can provide more possibilities for the optimization of the all-electric injection molding machine process.

[0078] Compared to Figure 1 The traditional plastic molding process in China has been optimized due to... Figure 1 The optimization of the all-electric injection molding process only considers the process optimization at the mold end. After mold flow analysis and detailed design, mold manufacturing and trial molding on an actual all-electric injection molding machine must be considered. If it fails, this process needs to be iterated repeatedly. However, the plastic molding process optimization method based on digital prototyping in this embodiment not only considers the process optimization at the mold end, but also couples the motor control and mechanical equipment. To help understand the technical concept or principle of this application, a specific embodiment is given; please refer to 4. Figure 4 In one embodiment, an improved plastic molding process optimization flow is presented. At the motor and electronic control end: firstly, the product code of the driver is integrated into the simulation environment, and then the finite element model of the motor is also integrated into the simulation environment. The two are coupled to obtain a digital model of the motor and electronic control system. At the mechanical equipment end: firstly, the mechanical drawings of the all-electric injection molding machine are imported into the simulation environment. Then, kinematic and dynamic modeling of the all-electric injection molding equipment is performed in the simulation, resulting in a digital model of the all-electric injection molding machine. After coupling the digital model of the motor and electronic control system and the digital model of the mechanical equipment, a virtual all-electric injection molding digital prototype model is obtained. When a new product is introduced, after preliminary mold flow analysis and detailed design, mold manufacturing can be performed on the virtual all-electric injection molding machine digital prototype without first manufacturing the mold. If the mold fails, feedback is provided to redesign the mold; if it succeeds, mold manufacturing begins, and then the mold is tested on the actual injection molding machine. The motor and electronic control process optimization parameters and the mechanical equipment process optimization parameters obtained during the digital prototype testing are imported into the actual injection molding machine (i.e., the real all-electric injection molding machine). In this way, process optimization can be achieved simultaneously on the mold, motor and electrical control, and mechanical equipment sides, which can greatly reduce mold production costs and trial molding time, reduce the number of trial moldings during the injection molding process, lower injection molding costs, and improve the efficiency of injection molded product development.

[0079] It should be noted that the specific embodiments shown above are only helpful for understanding the technical concept or technical principle of this application, and do not constitute a limitation on the plastic molding process optimization method of this application. Any simple modifications based on this technical concept or technical principle are within the protection scope of this application.

[0080] In one feasible approach, please refer to Figure 3The plastic molding process includes the mold manufacturing process of a real plastic mold and the injection molding process of a real all-electric injection molding machine. The step of optimizing the plastic molding process based on the trial molding results and injection parameters of the simulation trial molding includes:

[0081] Step S31: If the number of times the injection parameters of the virtual all-electric injection molding digital prototype are debugged reaches a preset number threshold, and the debugging range of the injection parameters of the virtual all-electric injection molding digital prototype reaches a preset range threshold, and the mold test results of the simulation mold are all unqualified, then output a prompt message that the simulation mold design is unqualified.

[0082] Step S32: If the simulation mold test result is qualified, then the injection molding process is optimized according to the injection parameters of the virtual all-electric injection molding digital prototype when the mold test is qualified, and the mold manufacturing process is optimized according to the mold parameters of the simulation mold when the mold test is qualified.

[0083] In this embodiment, it should be noted that the injection molding parameters include at least one of injection temperature, injection pressure, holding pressure, holding time, cooling time, and clamping force, and the mold parameters include at least one of mold shape, mold size, and mold material.

[0084] In this embodiment, if the number of times the injection parameters of the virtual all-electric injection molding digital prototype are adjusted reaches a preset threshold, and the adjustment range of the injection parameters of the virtual all-electric injection molding digital prototype reaches a preset range threshold, and the simulation trial molding results are all unqualified, it indicates that adjusting the injection parameters of the virtual all-electric injection molding digital prototype can no longer make the simulated product produced by the simulation trial molding meet the quality requirements of product molding. This is because the structural design of the simulation mold is unreasonable (assuming that the target product to be produced has a reasonable structure, i.e., the target product that meets the product molding quality requirements can be manufactured by the mold). Therefore, the simulation mold needs to be redesigned. The preset number of times threshold and the preset range threshold can be set by those skilled in the art according to the actual situation to more accurately determine whether the injection parameters of the virtual all-electric injection molding digital prototype can continue to be adjusted to make the simulated product produced by the simulation trial molding meet the product molding quality requirements. This embodiment does not impose specific limitations.

[0085] This embodiment outputs a prompt message indicating that the simulation mold design is unqualified when the number of debugging attempts for the virtual all-electric injection molding digital prototype reaches a preset threshold, the debugging range of the injection molding parameters reaches a preset range threshold, and all simulation trial mold results are unqualified. This prompts relevant engineering technicians to redesign the three-dimensional structure of the simulation mold so that the simulation trial mold results can be qualified by adjusting the injection molding parameters. When the simulation trial mold results are qualified, the mold manufacturing process is optimized based on the mold parameters of the simulation mold when the trial is qualified. Specifically, the actual mold manufacturing can be guided based on the mold shape, mold size, and mold material of the simulation mold, thereby optimizing the mold manufacturing process. Furthermore, the injection molding process can be optimized based on the injection parameters of the virtual all-electric injection molding digital prototype when the trial molding is successful. Specifically, processing drawings can be designed and issued based on the simulated mold when the trial molding is successful. After manufacturing and processing the real mold according to the issued processing drawings, the real mold is trial-molded on the real injection molding physical prototype. During the trial molding, the injection parameters of the real injection molding physical prototype, such as injection temperature, injection pressure, holding pressure, holding time, or cooling time, can be set with reference to the injection parameters of the virtual all-electric injection molding digital prototype when the trial molding is successful. This achieves guided optimization of the injection molding process. As a result, compared with the traditional plastic molding process optimization process, the plastic molding process optimization process of this embodiment can simultaneously take into account the process optimization of the mold end, the motor and electronic control end, and the mechanical equipment end. This can greatly reduce the mold production cost and the trial molding debugging time, reduce the number of trial moldings during the injection molding process, reduce injection molding costs, and improve the efficiency of injection molded product development.

[0086] In one implementable embodiment, prior to the step of obtaining the imported simulation mold, the method further includes:

[0087] Step C10: Obtain the target product parameters, and perform three-dimensional mold design based on the target product parameters to obtain the preliminary mold design.

[0088] In this embodiment, the target product parameter is used to characterize the product information of the plastic product to be produced. The target product parameter may include product shape, product size, and product material.

[0089] Step C20: Perform mold flow analysis on the preliminary mold design, generate a mold flow analysis test report, and determine whether the mold flow analysis test report meets the quality requirements of product molding;

[0090] Step C30: If the product molding quality requirements are not met, the preliminary design mold is calibrated according to the mold flow analysis test report, and mold flow analysis is performed on the calibrated preliminary design mold to generate a mold flow analysis test report. Then, the process returns to the step of determining whether the mold flow analysis test report meets the product molding quality requirements.

[0091] In this embodiment, as those skilled in the art will know, the mold flow analysis test report can guide the structural design and optimization of the preliminary mold design, thereby enabling the calibration of the preliminary mold design structure.

[0092] Step C40: If the product molding quality requirements are met, the preliminary design mold that meets the quality requirements will be used as the simulation mold to be imported.

[0093] This embodiment obtains target product parameters, performs 3D mold design based on these parameters, and obtains a preliminary mold design. Mold flow analysis is performed on the preliminary mold design to generate a mold flow analysis test report, and it is determined whether the report meets the quality requirements for product molding. If it does not meet the quality requirements, the preliminary mold design is calibrated based on the report, and mold flow analysis is performed on the calibrated mold to generate another report. The process then returns to determine whether the report meets the quality requirements. If it meets the quality requirements, the preliminary mold design is used as the simulation mold to be imported, thereby enabling early optimization of the mold-end process. This allows for the identification of design flaws before mold manufacturing, enabling automatic adjustment and optimization to avoid producing abnormal injection molded products and improving the R&D and production efficiency of plastic products.

[0094] Example 2

[0095] Based on the first embodiment of this application, in another embodiment of this application, the same or similar content as in Embodiment 1 above can be referred to the above description, and will not be repeated hereafter. Based on this, please refer to... Figure 5 The step of integrating and coupling the digital model of the injection molding machine and the digital model of the motor and electronic control system to construct a virtual all-electric injection molding digital prototype includes:

[0096] Step S21: Obtain the actual injection molding machine parameters of the real all-electric injection molding machine, and calibrate the dynamic characteristics and / or mechanical modes of the digital model of the injection molding machine according to the actual injection molding machine parameters to obtain the calibrated digital model of the injection molding machine.

[0097] Step S22: Obtain the actual motor control parameters of the real all-electric injection molding machine, and calibrate the motor TN characteristics and / or motor TI characteristics of the motor control digital model according to the actual motor control parameters to obtain the calibrated motor control digital model;

[0098] Step S23: Integrate and couple the calibrated digital model of the injection molding machine and the calibrated digital model of the motor and electronic control system to construct a virtual all-electric injection molding digital prototype.

[0099] Those skilled in the art will understand that this real all-electric injection molding machine can also be referred to as a real all-electric injection molding physical prototype.

[0100] In this embodiment, the corresponding actual injection molding machine parameters refer to the actual kinematic and mechanical characteristics of the actual all-electric injection molding machine (such as clamping force repeatability, holding pressure repeatability, and injection repeatability) or the mechanical parameters affected by the mechanical modes. These include the actual three-dimensional dimensional parameters, material property parameters (which involve mechanical properties such as strength and stiffness), mass parameters, and inertia parameters of the actual all-electric injection molding machine. It is easy to understand that the three-dimensional dimensional parameters represent the dimensional information of each component in the injection molding machine (including the clamping component and the injection component), the material property parameters represent the materials used to construct each component, the mass parameters represent the weight of each component, and the inertia parameters represent the inertial magnitude of the movement of each component.

[0101] In this embodiment, the corresponding actual motor control parameters refer to the actual control parameters of the motor components that drive the actual all-electric injection molding machine. These parameters can characterize the actual clamping force and other mechanical characteristics of the actual all-electric injection molding machine. For example, the motor control parameters can be the TN characteristic parameters and the TI characteristic parameters of the motor.

[0102] This embodiment obtains the actual injection molding machine parameters of a real all-electric injection molding machine, calibrates the dynamic characteristics and / or mechanical modes of the digital model of the injection molding machine based on these parameters, and obtains a calibrated digital model of the injection molding machine. It also obtains the actual motor and electronic control parameters of the real all-electric injection molding machine, and calibrates the motor TN characteristics and / or motor TI characteristics of the digital model of the motor and electronic control based on these parameters, obtaining a calibrated digital model of the motor and electronic control. Then, the calibrated digital model of the injection molding machine and the calibrated digital model of the motor and electronic control are integrated and coupled to construct a virtual all-electric injection molding digital prototype. This more realistically reproduces the actual mechanical state and motor and electronic control effects of the real all-electric injection molding machine, resulting in a more realistic injection molding simulation environment. Consequently, when using the virtual all-electric injection molding digital prototype to simulate and test molds, it can more realistically reflect the relevant problems at the mold end, motor and electronic control end, or mechanical equipment end, allowing for targeted process optimization at the mold end, motor and electronic control end, or mechanical equipment end, further improving the accuracy of plastic molding process optimization.

[0103] In one possible implementation, after the step of integrating and coupling the calibrated digital model of the injection molding machine and the calibrated digital model of the motor and electronic control system to construct a virtual all-electric injection molding digital prototype, the method further includes:

[0104] Step D10: Based on the actual injection molding machine parameters and the actual motor control parameters, iteratively calibrate the finite element prototype model corresponding to the virtual all-electric injection molding digital prototype to obtain the latest virtual all-electric injection molding digital prototype.

[0105] This embodiment iteratively calibrates the finite element prototype model corresponding to the virtual all-electric injection molding digital prototype based on the actual injection molding machine parameters and the actual motor and electronic control parameters, obtaining the latest virtual all-electric injection molding digital prototype. This continuously brings the prototype closer to the actual mechanical equipment state and motor and electronic control effect of the real all-electric injection molding machine, resulting in a more realistic injection molding simulation environment. This allows for a more realistic reflection of relevant issues at the mold end, motor and electronic control end, or mechanical equipment end, enabling targeted process optimization at the mold end, motor and electronic control end, or mechanical equipment end, further improving the accuracy of plastic molding process optimization.

[0106] To aid in understanding the technical concept or principle of this application, another specific embodiment is provided:

[0107] In this specific embodiment, please refer to Figure 6 , Figure 6 The virtual all-electric injection molding digital prototype mainly consists of three parts: system modeling, system calibration, and system services. The development process for these three parts needs to conform to the "inverted V" development process, which can be found in [reference needed]. Figure 7 The system modeling component includes 3D mechanical modeling of the all-electric injection molding machine, motor and electrical control modeling, and material molding process modeling, which respectively correspond to... Figure 4 The system comprises three parts: the mechanical equipment end, the motor and electrical control end, and the material forming end. The system calibration section includes using a real-world physical prototype of the all-electric injection molding machine to calibrate the mechanical modes, kinematic and dynamic characteristics (clamping force repeatability, holding pressure repeatability, injection repeatability), and deformation of the virtual all-electric injection molding digital prototype. The motor and electrical control calibration section includes using a real-world physical prototype to calibrate the motor's mechanical characteristics, specifically including the motor's TN curve, saturation characteristic TI curve, and other external characteristics. The material forming process calibration section includes using a real-world physical prototype to calibrate the material forming effect, pressure, and flow rate of the virtual all-electric injection molding digital prototype. The system service section can be found in [reference needed]. Figure 8 In other words, the (virtual all-electric injection molding digital prototype) mainly replaces the real all-electric injection molding physical prototype based on model calibration. It provides users with process optimization services, system debugging services, 3D visualization services, employee training services, status monitoring services, system matching and selection services, equipment optimization and upgrade services, fault diagnosis services, and predictive maintenance services on the virtual end. The specific means of presenting the system services include, but are not limited to, providing customers with an all-electric injection molding digital prototype system service platform APP (Application), such as a computer APP, a mobile APP, a WeChat mini program, or a web link.

[0108] The "inverted V" development process refers to the simultaneous and overlapping of system modeling and calibration, rather than the traditional method of building the entire model first and then testing and calibrating it. The biggest drawback of the traditional method is that too many coupled factors can cause significant problems during model calibration. Specifically, the "inverted V" development process for the virtual all-electric injection molding machine digital prototype means that the system's testing and calibration plan should be completed simultaneously when the mechanical model is built. Under the same input conditions as the actual injection molding prototype, the performance of the established mechanical model is observed to be consistent with that of the actual all-electric injection molding prototype (i.e., the real all-electric injection molding physical prototype). After calibration, a mechanical model test calibration report is output. Similarly, the models for motor and electronic control and material forming are also tested and calibrated separately and decoupled using this method, and corresponding calibration test reports are output. Only after the mechanical model, motor and electronic control digital model, and material forming model have been individually calibrated and tested do they begin to consider the integrated coupling calibration test. After completing the system calibration, testing, and integration, the virtual digital prototype can be used to replace the actual physical prototype to provide services to users.

[0109] The system modeling component includes, but is not limited to, modeling methods based on theoretical models, physical topology, and data fusion, as well as complementary methods that integrate these three approaches. Specifically, a 3D model of the all-electric injection molding machine can be created using CAD software. The material, mass, and inertia properties of the 3D model are then set according to the actual model of the all-electric injection molding machine. The 3D model is then imported into a control analysis model, and the interaction interface between the two software programs is adjusted to obtain a 3D visualization model of the kinematics and dynamics of the all-electric injection molding machine based on the physical model (i.e., a virtual all-electric injection molding digital prototype). In particular, to improve the fidelity of the motor model, the saturation characteristics and spatial harmonics of the motor need to be considered, and the motor's electronic control digital model is calibrated using the external characteristics (TN and TI) of the actual motor. The calibrated digital model of the all-electric injection molding machine is then integrated and coupled with the motor's electronic control digital model to obtain a calibrated simulation model of the all-electric injection molding machine's electronic control system. Then, finite element analysis (FEM) was performed using mold flow analysis software to analyze the filling, flow, holding pressure, cooling, and warpage deformation processes during injection molding. The simulation results revealed warpage, injection pressure, and cavitation during the molding process. Next, the numerical simulation results were calibrated and verified using a real all-electric injection molding prototype (i.e., a physical all-electric injection molding machine). Finally, the calibrated all-electric injection molding finite element model was integrated with the calibrated motor and control system and the all-electric injection molding machine model. This was then compared with an actual all-electric injection molding machine (with servo motor and control) to calibrate the virtual all-electric injection molding digital prototype platform, ensuring it conforms to the inverted "V" development model.

[0110] It should be noted that the above is only helpful for understanding the technical concept or principle of this application and does not constitute a limitation on the plastic molding process optimization method of this application. Any simple modifications based on this technical concept or principle are within the protection scope of this application.

[0111] Example 3

[0112] This invention also provides a plastic molding process optimization device, please refer to... Figure 9 The plastic molding process optimization device includes:

[0113] The system modeling unit 10 is used to acquire the input injection machinery equipment parameters and motor control parameters of the all-electric injection molding machine, construct a digital model of the injection machinery equipment of the all-electric injection molding machine based on the injection machinery equipment parameters, and construct a digital model of the motor control of the all-electric injection molding machine based on the motor control parameters.

[0114] System correction unit 20 is used to integrate and couple the digital model of the injection molding machine and the digital model of the motor and electronic control to construct a virtual all-electric injection molding digital prototype;

[0115] The system calibration unit 20 is also used to acquire the imported simulation mold and debug the injection parameters of the virtual all-electric injection molding digital prototype, so as to conduct simulation mold testing on the simulation mold through the virtual all-electric injection molding digital prototype, and optimize the plastic molding process through the mold testing results and injection parameters of the simulation mold.

[0116] Optionally, the plastic molding process includes the mold manufacturing process of the actual plastic mold and the injection molding process of the actual all-electric injection molding machine. The system correction unit 20 is also used for:

[0117] If the number of times the injection parameters of the virtual all-electric injection molding digital prototype are debugged reaches a preset threshold, and the debugging range of the injection parameters of the virtual all-electric injection molding digital prototype reaches a preset range threshold, and the mold trial results of the simulation mold trial are all unqualified, then the prompt message that the simulation mold design is unqualified will be output.

[0118] If the simulation trial molding result is that the trial molding is qualified, then the injection molding process is optimized according to the injection molding parameters of the virtual all-electric injection molding digital prototype when the trial molding is qualified, and the mold manufacturing process is optimized according to the mold parameters of the simulation mold when the trial molding is qualified.

[0119] Optionally, the injection molding machine parameters include the three-dimensional dimensional parameters, material property parameters, mass parameters, and inertia parameters of the injection molding machine. The system modeling unit 10 is also used for:

[0120] A three-dimensional physical model of the injection molding machine is established based on the aforementioned three-dimensional dimensional parameters;

[0121] By associating and coupling the three-dimensional physical model of the equipment with the material property parameters, the mass parameters, and the inertia parameters, a digital model of the all-electric injection molding machine is constructed.

[0122] Optionally, the motor control parameters include motor TN characteristic parameters and motor TI characteristic parameters. The system modeling unit 10 is also used for:

[0123] Obtain a pre-established three-dimensional physical model of the motor, and the corresponding driving code of the three-dimensional physical model of the motor;

[0124] By associating and coupling the three-dimensional physical model of the motor, the driving code, the TN characteristic parameters of the motor, and the TI characteristic parameters of the motor, a digital model of the motor control of the all-electric injection molding machine is constructed.

[0125] Optionally, the system correction unit 20 is also used for:

[0126] Obtain the target product parameters, and perform 3D mold design based on the target product parameters to obtain a preliminary mold design.

[0127] Perform mold flow analysis on the preliminary mold design, generate a mold flow analysis test report, and determine whether the mold flow analysis test report meets the quality requirements of product molding;

[0128] If the mold does not meet the quality requirements for product molding, the preliminary design mold is calibrated according to the mold flow analysis test report, and the calibrated preliminary design mold is subjected to mold flow analysis to generate a mold flow analysis test report. Then, the process returns to the step of determining whether the mold flow analysis test report meets the quality requirements for product molding.

[0129] If the product molding quality requirements are met, the preliminary design mold that meets the quality requirements will be used as the simulation mold to be imported.

[0130] Optionally, the system correction unit 20 is also used for:

[0131] Obtain the actual injection molding machine parameters of the real all-electric injection molding machine, and calibrate the dynamic characteristics and / or mechanical modes of the digital model of the injection molding machine based on the actual injection molding machine parameters to obtain the calibrated digital model of the injection molding machine.

[0132] Obtain the actual motor and electronic control parameters of a real all-electric injection molding machine, and calibrate the motor TN characteristics and / or motor TI characteristics of the motor electronic control digital model based on the actual motor and electronic control parameters to obtain the calibrated motor electronic control digital model;

[0133] The calibrated digital model of the injection molding machine and the calibrated digital model of the motor and electronic control system are integrated and coupled to construct a virtual all-electric injection molding digital prototype.

[0134] Optionally, the system correction unit 20 is also used for:

[0135] Based on the actual injection molding machine parameters and the actual motor control parameters, the finite element prototype model corresponding to the virtual all-electric injection molding digital prototype is iteratively calibrated to obtain the latest virtual all-electric injection molding digital prototype.

[0136] The plastic molding process optimization device provided in this embodiment of the invention adopts the plastic molding process optimization method in Embodiment 1 or Embodiment 2 above, thereby improving the accuracy of plastic molding process optimization. Compared with the prior art, the beneficial effects of the plastic molding process optimization device provided in this embodiment of the invention are the same as the beneficial effects of the plastic molding process optimization method provided in the above embodiments, and other technical features in the plastic molding process optimization device are the same as those disclosed in the method of the previous embodiment, and will not be repeated here.

[0137] Example 4

[0138] This invention provides an electronic device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, which are executed by the at least one processor to enable the at least one processor to perform the plastic molding process optimization method described in Embodiment 1 or Embodiment 2 above.

[0139] The following is for reference. Figure 10 It shows a schematic diagram of the structure of an electronic device suitable for implementing the embodiments of the present disclosure. Figure 10 The electronic device shown is merely an example and should not be construed as limiting the functionality and scope of the embodiments disclosed herein.

[0140] like Figure 10 As shown, the electronic device may include a processing unit 1001 (e.g., a central processing unit, a graphics processor, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM 1002) or a program loaded from a storage device into a random access memory (RAM 1004). The RAM 1004 also stores various programs and data required for the operation of the electronic device. The processing unit 1001, ROM 1002, and RAM 1004 are interconnected via a bus 1005. Input / output (I / O) interfaces are also connected to the bus 1005.

[0141] Typically, the following systems can be connected to I / O interface 1006: input devices 1007 including, for example, touchscreens, touchpads, keyboards, mice, image sensors, microphones, accelerometers, gyroscopes, etc.; output devices 1008 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; storage devices 1003 including, for example, magnetic tapes, hard disks, etc.; and communication devices 1009. Communication device 1009 allows the electronic device to communicate wirelessly or wiredly with other devices to exchange data. Although electronic devices with various systems are shown in the figures, it should be understood that it is not required to implement or possess all the systems shown. More or fewer systems may be implemented alternatively.

[0142] In particular, according to embodiments of this disclosure, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of this disclosure include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device, or installed from storage device 1003, or installed from ROM 1002. When the computer program is executed by processing device 1001, it performs the functions defined in the methods of embodiments of this disclosure.

[0143] The electronic device provided by this invention employs the plastic molding process optimization method described in Embodiment 1 or Embodiment 2 above, thereby improving the accuracy of plastic molding process optimization. Compared with the prior art, the beneficial effects of the electronic device provided by this invention are the same as those of the plastic molding process optimization method provided in Embodiment 1 above, and other technical features of this electronic device are the same as those disclosed in the previous embodiment method, and will not be repeated here.

[0144] It should be understood that various parts of this disclosure can be implemented using hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics may be combined in any suitable manner in one or more embodiments or examples.

[0145] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

[0146] Example 5

[0147] This invention provides a computer-readable storage medium having computer-readable program instructions stored thereon, which are used to execute the plastic molding process optimization method in Embodiment 1 above.

[0148] The computer-readable storage medium provided in this embodiment of the invention may be, for example, a USB flash drive, but is not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, system, or device. The program code contained on the computer-readable storage medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination thereof.

[0149] The aforementioned computer-readable storage medium may be included in an electronic device or may exist independently without being assembled into an electronic device.

[0150] The aforementioned computer-readable storage medium carries one or more programs. When these programs are executed by an electronic device, the electronic device causes the following: it acquires the input injection machinery parameters and motor control parameters of the all-electric injection molding machine; constructs a digital model of the injection machinery based on the injection machinery parameters; and constructs a digital model of the motor control based on the motor control parameters; it integrates and couples the digital model of the injection machinery and the digital model of the motor control to construct a virtual all-electric injection molding digital prototype; it acquires the imported simulation mold and adjusts the injection parameters of the virtual all-electric injection molding digital prototype to perform simulation testing on the simulation mold using the virtual all-electric injection molding digital prototype; and it optimizes the plastic molding process based on the simulation testing results and injection parameters.

[0151] Computer program code for performing the operations of this disclosure can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0152] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present invention. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0153] The modules described in the embodiments of this disclosure can be implemented in software or hardware. The names of the modules do not necessarily limit the functionality of the unit itself.

[0154] The computer-readable storage medium provided by this invention stores computer-readable program instructions for executing the above-described plastic molding process optimization method, thereby improving the accuracy of plastic molding process optimization. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this embodiment are the same as the beneficial effects of the plastic molding process optimization method provided in Embodiment 1 or Embodiment 2, and will not be repeated here.

[0155] Example 6

[0156] This invention also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the plastic molding process optimization method described above.

[0157] The computer program product provided in this application improves the accuracy of optimizing plastic molding processes. Compared with the prior art, the beneficial effects of the computer program product provided in the embodiments of this invention are the same as the beneficial effects of the plastic molding process optimization methods provided in Embodiment 1 or Embodiment 2 above, and will not be repeated here.

[0158] The above are merely preferred embodiments of this application and do not limit the patent scope of this application. Any equivalent structural or procedural transformations made using the content of this application's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent scope of this application.

Claims

1. A method for optimizing a plastic molding process, characterized in that, The plastic molding process optimization method includes: The system obtains the injection molding machine parameters and motor control parameters of the all-electric injection molding machine. Based on the injection molding machine parameters, it constructs a digital model of the injection molding machine and a digital model of the motor control system of the all-electric injection molding machine. By integrating and coupling the digital model of the injection molding machine and the digital model of the motor and electronic control system, a virtual all-electric injection molding digital prototype is constructed. The imported simulation mold is obtained, and the injection parameters of the virtual all-electric injection molding digital prototype are adjusted so that the simulation mold can be simulated and tested through the virtual all-electric injection molding digital prototype. The plastic molding process is then optimized based on the simulation test results and injection parameters. The step of integrating and coupling the digital model of the injection molding machinery and the digital model of the motor and electronic control system to construct a virtual all-electric injection molding digital prototype includes: Obtain the actual injection molding machine parameters of the real all-electric injection molding machine, and calibrate the dynamic characteristics and / or mechanical modes of the digital model of the injection molding machine based on the actual injection molding machine parameters to obtain the calibrated digital model of the injection molding machine. Obtain the actual motor and electronic control parameters of a real all-electric injection molding machine, and calibrate the motor TN characteristics and / or motor TI characteristics of the motor electronic control digital model based on the actual motor and electronic control parameters to obtain the calibrated motor electronic control digital model; The calibrated digital model of the injection molding machine and the calibrated digital model of the motor and electronic control system are integrated and coupled to construct a virtual all-electric injection molding digital prototype.

2. The method for optimizing plastic molding process as described in claim 1, characterized in that, The plastic molding process includes the mold manufacturing process of a real plastic mold and the injection molding process of a real all-electric injection molding machine. The step of optimizing the plastic molding process based on the trial molding results and injection parameters of the simulation trial molding includes: If the number of times the injection parameters of the virtual all-electric injection molding digital prototype are debugged reaches a preset threshold, and the debugging range of the injection parameters of the virtual all-electric injection molding digital prototype reaches a preset range threshold, and the mold trial results of the simulation mold trial are all unqualified, then the prompt message that the simulation mold design is unqualified will be output. If the simulation trial molding result is that the trial molding is qualified, then the injection molding process is optimized according to the injection molding parameters of the virtual all-electric injection molding digital prototype when the trial molding is qualified, and the mold manufacturing process is optimized according to the mold parameters of the simulation mold when the trial molding is qualified.

3. The method for optimizing plastic molding process as described in claim 1, characterized in that, The injection molding machine parameters include the three-dimensional dimensional parameters, material property parameters, mass parameters, and inertia parameters of the injection molding machine. The step of constructing a digital model of the all-electric injection molding machine based on the injection molding machine parameters includes: A three-dimensional physical model of the injection molding machine is established based on the aforementioned three-dimensional dimensional parameters; By associating and coupling the three-dimensional physical model of the equipment with the material property parameters, the mass parameters, and the inertia parameters, a digital model of the all-electric injection molding machine is constructed.

4. The method for optimizing plastic molding process as described in claim 1, characterized in that, The motor control parameters include the motor TN characteristic parameters and the motor TI characteristic parameters. The step of constructing a digital model of the motor control system of the all-electric injection molding machine based on the motor control parameters includes: Obtain a pre-established three-dimensional physical model of the motor, and the corresponding driving code of the three-dimensional physical model of the motor; By associating and coupling the three-dimensional physical model of the motor, the driving code, the TN characteristic parameters of the motor, and the TI characteristic parameters of the motor, a digital model of the motor control of the all-electric injection molding machine is constructed.

5. The method for optimizing plastic molding process as described in claim 1, characterized in that, Prior to the step of obtaining the imported simulation mold, the method further includes: Obtain the target product parameters, and perform 3D mold design based on the target product parameters to obtain a preliminary mold design. Perform mold flow analysis on the preliminary mold design, generate a mold flow analysis test report, and determine whether the mold flow analysis test report meets the quality requirements of product molding; If the mold does not meet the quality requirements for product molding, the preliminary design mold is calibrated according to the mold flow analysis test report, and the calibrated preliminary design mold is subjected to mold flow analysis to generate a mold flow analysis test report. Then, the process returns to the step of determining whether the mold flow analysis test report meets the quality requirements for product molding. If the product molding quality requirements are met, the preliminary design mold that meets the quality requirements will be used as the simulation mold to be imported.

6. The method for optimizing plastic molding process as described in claim 1, characterized in that, After the step of integrating and coupling the calibrated digital model of the injection molding machine and the calibrated digital model of the motor and electronic control system to construct a virtual all-electric injection molding digital prototype, the method further includes: Based on the actual injection molding machine parameters and the actual motor control parameters, the finite element prototype model corresponding to the virtual all-electric injection molding digital prototype is iteratively calibrated to obtain the latest virtual all-electric injection molding digital prototype.

7. A plastic molding process optimization device, characterized in that, The plastic molding process optimization device includes: The system modeling unit is used to acquire the input injection machinery equipment parameters and motor control parameters of the all-electric injection molding machine, construct a digital model of the injection machinery equipment of the all-electric injection molding machine based on the injection machinery equipment parameters, and construct a digital model of the motor control of the all-electric injection molding machine based on the motor control parameters. The system calibration unit is used to integrate and couple the digital model of the injection molding machine and the digital model of the motor and electronic control to construct a virtual all-electric injection molding digital prototype. The system calibration unit is also used to acquire the imported simulation mold and debug the injection parameters of the virtual all-electric injection molding digital prototype, so as to conduct simulation mold testing on the simulation mold through the virtual all-electric injection molding digital prototype, and optimize the plastic molding process based on the mold testing results and injection parameters of the simulation mold. The system correction unit is also used for: Obtain the actual injection molding machine parameters of the real all-electric injection molding machine, and calibrate the dynamic characteristics and / or mechanical modes of the digital model of the injection molding machine based on the actual injection molding machine parameters to obtain the calibrated digital model of the injection molding machine. Obtain the actual motor and electronic control parameters of a real all-electric injection molding machine, and calibrate the motor TN characteristics and / or motor TI characteristics of the motor electronic control digital model based on the actual motor and electronic control parameters to obtain the calibrated motor electronic control digital model; The calibrated digital model of the injection molding machine and the calibrated digital model of the motor and electronic control system are integrated and coupled to construct a virtual all-electric injection molding digital prototype.

8. An electronic device, characterized in that, The electronic device includes: At least one processor; and, A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the steps of the plastic molding process optimization method according to any one of claims 1 to 6.

9. A readable storage medium, characterized in that, The readable storage medium is a computer-readable storage medium, on which a program for implementing a plastic molding process optimization method is stored, and the program for implementing the plastic molding process optimization method is executed by a processor to implement the steps of the plastic molding process optimization method as described in any one of claims 1 to 6.

Images