Method and device for improving warpage of plastic parts based on CAE technology

Abstract

This application provides a method and apparatus for improving the warpage deformation of plastic parts based on CAE technology. The method includes using CAE technology to analyze the current batch of plastic parts to obtain the warpage deformation amount, the corresponding warpage factors, and the corresponding warpage factor values; determining the weight of each warpage factor based on its warpage factor value; if the warpage deformation amount is greater than a preset warpage deformation amount, obtaining the target warpage factor corresponding to the target weight that meets the preset weight condition; and determining a new production standard based on the target production standard adjustment method corresponding to the target warpage factor to simulate the production of the next batch of plastic parts. This method optimizes the solution for the warpage deformation of plastic parts containing fiber shells from aspects such as mold structure and plastic part structure, and can effectively reduce costs while accurately and efficiently optimizing the problem of plastic part warpage deformation.

Description

Technical Field

[0001] This application relates to the field of injection molding of automotive body parts, and more specifically, to a method and apparatus for improving warpage deformation of plastic parts based on CAE technology. Background Technology

[0002] In the automotive parts industry, the proportion of plastic parts is rapidly increasing. Warpage is an extremely common quality defect during the manufacturing and processing of plastic parts. Especially for certain automotive parts requiring vibration and load resistance, additional glass fiber reinforcement is needed to strengthen the plastic components. This makes the factors influencing plastic part deformation increasingly complex, and the analysis of deformation and reduction of warpage increasingly difficult.

[0003] Currently, there are two main methods for solving the warpage problem of plastic parts: 1. The reverse deformation method, which uses CAE technology to analyze and obtain simulated values ​​of the warpage deformation of the plastic part, then uses finite element numerical simulation, orthogonal experiments, and other methods to calculate the percentage of deviation, calibrate the data, reduce simulation errors, and make reverse deformation design changes to the plastic part based on this data, thereby reducing the amount of warpage. However, CAE technology analysis results have a large error, only giving a general direction of warpage, and does not find the root cause of the warpage. In the industry, the design of reverse deformation still mainly relies on the experience of practitioners, which has a large degree of uncertainty. 2. The optimal process parameter method, which is based on CAE technology and orthogonal analysis to optimize the optimal process parameters to reduce the amount of warpage. This solution can only optimize the warpage of the plastic part under the premise that the mold structure remains unchanged, which has great limitations. Moreover, the orthogonal analysis method requires a large sample size for comparison, which is time-consuming.

[0004] Of the methods described above, the reverse deformation method has uncertainties, and the optimal process parameter method has limitations and high time costs. Therefore, existing methods cannot efficiently and accurately solve the warpage problem of plastic parts. Summary of the Invention

[0005] The purpose of this application is to provide a method and apparatus for improving the warping deformation of plastic parts based on CAE technology, so as to solve the above-mentioned problems existing in the prior art and to solve the warping problem of plastic parts efficiently and accurately.

[0006] Firstly, a method for improving warpage deformation of plastic parts based on CAE technology is provided, which may include:

[0007] CAE technology is used to analyze the current batch of plastic parts to obtain the warpage deformation, the corresponding warpage factors, and the corresponding warpage factor values ​​of the current batch of plastic parts; the current batch of plastic parts is produced using experimental molds in accordance with current production standards.

[0008] Based on the warp factor values ​​of each warp factor, the weight of the corresponding warp factor is determined;

[0009] If the warping deformation is greater than the preset warping deformation, then obtain the target warping factor corresponding to the target weight that meets the preset weight condition among the weights.

[0010] Based on the target production standard adjustment method corresponding to the target warpage factor, a new production standard is determined to simulate the production of the next batch of plastic parts.

[0011] In one possible implementation, the method further includes:

[0012] If the warpage deformation is not greater than the preset warpage deformation, then the simulated plastic part is determined to meet the expected product requirements.

[0013] In one possible implementation, the weight of each warp factor is determined based on its warp factor value, including:

[0014] Using range analysis, the difference between the maximum and minimum displacement values ​​of each warping factor is calculated to obtain the comprehensive displacement value corresponding to each warping factor.

[0015] The combined displacement value corresponding to each warping factor is determined as the weight of each warping factor.

[0016] In one possible implementation, the warping factors include fiber alignment effect displacement, temperature difference effect displacement, and regional shrinkage difference effect displacement.

[0017] The target production standard adjustment methods include adjusting the gate rules, adjusting the cooling rules, and adjusting the product structure rules;

[0018] The gate adjustment rules include one or more of the following: adjusting gate type, adjusting gate size, adjusting gate position, and adjusting gate quantity;

[0019] The cooling adjustment rules include one or more of the following: adjusting the size of the water channel, adjusting the type of water channel, adjusting the arrangement of the water channel, and adjusting the distance between the water channel and the cavity;

[0020] The rules for adjusting the product structure include adjusting the main wall thickness of the plastic part, the position and number of reinforcing ribs, and adding one or more overflow cavities.

[0021] In one possible implementation, the correspondence between the warpage factor and the production standard adjustment method includes:

[0022] The correspondence between the fiber alignment effect displacement and the gate adjustment rule;

[0023] The correspondence between the temperature difference effect displacement and the adjusted cooling rules;

[0024] The correspondence between the regional shrinkage difference effect displacement and the adjusted product structure rules.

[0025] In one possible implementation, a new production standard is determined based on the target production standard adjustment method corresponding to the target warpage factor, to simulate the production of the next batch of plastic parts, including:

[0026] If the preset maximum number of simulated production cycles is reached, and the warping deformation exceeds the preset warping deformation, a simulated production anomaly warning message will be generated.

[0027] Secondly, a device for improving warpage deformation of plastic parts based on CAE technology is provided, the device may include:

[0028] The analysis unit is used to analyze the current batch of plastic parts using CAE technology to obtain the warpage deformation of the current batch of plastic parts, the warpage factors corresponding to the warpage deformation, and the corresponding warpage factor values; the current batch of plastic parts is produced using experimental molds in accordance with the current production standards;

[0029] The determining unit is used to determine the weight of the corresponding warp factor based on the warp factor value of each warp factor;

[0030] The acquisition unit is used to acquire the target warping factor corresponding to the target weight that satisfies the preset weight condition among the weights if the warping deformation amount is greater than the preset warping deformation amount.

[0031] The determining unit is also used to determine the target production standard adjustment method corresponding to the target warping factor, and to determine a new production standard to simulate the production of the next batch of plastic parts.

[0032] Thirdly, an electronic device is provided, which includes a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus;

[0033] Memory, used to store computer programs;

[0034] When a processor executes a program stored in memory, it implements any of the steps described in the first aspect above.

[0035] Fourthly, a computer-readable storage medium is provided, wherein a computer program is stored therein, and when executed by a processor, the computer program implements the steps of any of the methods described in the first aspect above.

[0036] This application provides a method and apparatus for improving the warpage deformation of plastic parts based on CAE technology. The method includes using CAE technology to analyze the current batch of plastic parts to obtain the warpage deformation amount, the corresponding warpage factors, and the corresponding warpage factor values. The current batch of plastic parts is produced using experimental molds in accordance with the current production standard. Based on the warpage factor values, the weights of the corresponding warpage factors are determined. If the warpage deformation amount is greater than a preset warpage deformation amount, the target warpage factor corresponding to the target weight that meets the preset weight conditions is obtained. Based on the target production standard adjustment method corresponding to the target warpage factor, a new production standard is determined to simulate the production of the next batch of plastic parts. This method can optimize the solution for the warpage deformation of plastic parts containing fiber shells from aspects such as mold structure and plastic part structure. While accurately and efficiently optimizing the problem of plastic part warpage deformation, it can effectively reduce costs. Attached Figure Description

[0037] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments of this application will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0038] Figure 1 A system architecture diagram of a method for improving warpage deformation of plastic parts using CAE technology, provided in an embodiment of this application;

[0039] Figure 2 A flowchart illustrating a method for improving warpage deformation of plastic parts based on CAE technology, provided for an embodiment of this application;

[0040] Figure 3 A schematic diagram of the displacement values ​​of the Z-axis fiber alignment effect displacement provided in the embodiments of this application;

[0041] Figure 4 A schematic diagram of the displacement values ​​of the Z-axis temperature difference effect displacement provided in the embodiments of this application;

[0042] Figure 5 A schematic diagram of displacement values ​​for the Z-axis region contraction difference effect displacement provided in an embodiment of this application;

[0043] Figure 6 This is a numerical schematic diagram of the Z-axis warpage deformation of the plastic part provided in the embodiments of this application;

[0044] Figure 7 A numerical schematic diagram of the warpage deformation of the plastic part after adjusting the main wall thickness of the plastic part in the Z direction, as provided in the embodiments of this application.

[0045] Figure 8 A numerical schematic diagram of the warpage deformation of the plastic part after adding an overflow cavity in the Z direction, as provided in the embodiments of this application;

[0046] Figure 9 A schematic diagram of a device for improving the warpage deformation of plastic parts based on CAE technology, provided for an embodiment of this application;

[0047] Figure 10 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0048] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0049] For ease of understanding, the terms used in the embodiments of this application are explained below:

[0050] CAE (Computer Aided Engineering) technology is an approximate numerical analysis method that uses computers to solve complex engineering and product structures, including problems related to structural strength, stiffness, buckling stability, dynamic response, thermal conduction, three-dimensional multi-body contact, elastoplasticity, and other mechanical properties, as well as optimizing structural performance. A commonly used software is Moldex3D model flow analysis software.

[0051] Plastic parts: Plastic components.

[0052] Warpage deformation: also known as warpage amount, is a description of the degree of warpage of a plastic part.

[0053] The method for improving warpage deformation of plastic parts using CAE technology provided in this application embodiment can be applied to... Figure 1 In the system architecture shown, such as Figure 1As shown, the system may include a server and a terminal. The server can be a physical server, a server cluster consisting of multiple physical servers, or a distributed system. It can also be a cloud server providing basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, content delivery networks (CDNs), and big data and artificial intelligence platforms. The terminal may be a user equipment (UE) such as an injection molding machine control processor, mobile phone, smartphone, laptop, digital broadcast receiver, personal digital assistant (PDA), tablet computer (PAD), handheld device, in-vehicle device, wearable device, computing device, or other processing device connected to a wireless modem, mobile station (MS), mobile terminal, etc. The terminal and server can be directly or indirectly connected via wired or wireless communication methods; this application does not limit the connection.

[0054] The terminal is used to acquire the model of the experimental mold and the optimal process parameters, and then send the model of the experimental mold and the optimal process parameters to the server. The optimal process parameters may include the experimental mold temperature, melt temperature, injection rate, holding pressure, holding time, and cooling time.

[0055] The server obtains the model and optimal process parameters of the experimental mold, simulates the production of the plastic part, and executes the method provided in this application for improving the warping deformation of the shell plastic part based on CAE analysis.

[0056] Currently, there are two main methods for solving the warpage problem of plastic parts: 1. The reverse deformation method, which uses CAE technology to analyze and obtain simulated values ​​of the warpage deformation of the plastic part, then uses finite element numerical simulation, orthogonal experiments, etc., to calculate the percentage of deviation, calibrate the data, reduce simulation errors, and make reverse deformation design changes to the plastic part based on this data, thereby reducing the amount of warpage. However, CAE simulation analysis results have large errors and can only give the general direction of warpage, without finding the root cause of the warpage. In the industry, the design of reverse deformation still mainly relies on the experience of practitioners, which has a large degree of uncertainty. 2. The optimal process parameter method, which is based on CAE and orthogonal analysis to optimize the optimal process parameters to reduce the amount of warpage. This solution can only optimize the warpage of the plastic part under the premise that the mold structure remains unchanged, which has great limitations. Moreover, the orthogonal analysis method requires a large sample size for comparison, which is time-consuming.

[0057] Of the methods described above, the reverse deformation method has uncertainties, and the optimal process parameter method has limitations and high time costs. Therefore, existing methods cannot efficiently and accurately solve the warpage problem of plastic parts.

[0058] This invention provides a method for improving the warpage deformation of plastic parts based on CAE technology, so as to overcome the problem that existing technologies cannot accurately and efficiently optimize the warpage of plastic parts.

[0059] The preferred embodiments of this application are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit this application. Furthermore, the embodiments and features in the embodiments of this application can be combined with each other without conflict.

[0060] Figure 2 This is a flowchart illustrating a method for improving warpage deformation of a plastic housing based on CAE analysis, as provided in an embodiment of this application. Figure 2 As shown, the method may include:

[0061] Step S210: Using CAE technology, analyze the current batch of plastic parts to obtain the warping deformation amount, the corresponding warping factors, and the corresponding warping factor values ​​of the current batch of plastic parts.

[0062] The current batch of plastic parts was produced using experimental molds in accordance with current production standards.

[0063] Before performing step S210, it is necessary to design and manufacture experimental molds for the corresponding plastic parts according to the user's expected product requirements. Low-hardness steel can be used as the material for manufacturing the experimental molds, which can reduce raw material costs and processing costs.

[0064] Secondly, the experimental molds are designed to address the product's appearance issues, so the optimal process parameters must be determined based on the user's expected product requirements for the plastic parts.

[0065] Finally, the structure and optimal process parameters of the experimental mold are imported into the Modelx3D software, and the current batch of plastic parts is simulated for production according to the current production standards in the Modelx3D software.

[0066] Step S210 may specifically include using Modelx3D software to analyze the current batch of plastic parts, which can determine whether the current batch of plastic parts has warped deformation. If the current batch of plastic parts has warped deformation, the amount of warping deformation is determined.

[0067] Using Modelx3D software, such as Figures 3 to 5As shown, the various warping factors corresponding to the warping deformation of the plastic part can be determined. Specifically, since the warping deformation of the plastic part is not caused by a single factor, but by the superposition of multiple factors, the warping factors can be divided into two categories: production standards and process parameters. Since the optimal process parameters were determined before the experiment in this application, the process parameters are not analyzed. Production standards may include gate rules, cooling rules, and product structure rules. Generally, the main factors affecting production standards may include fiber alignment effect displacement, temperature difference effect displacement, and regional shrinkage difference effect displacement.

[0068] Continue to refer to Figures 3 to 5 It can also determine the corresponding warp factor value for each warp factor; for details, please refer to [link / reference]. Figure 3 The maximum displacement value of the Z-direction fiber alignment effect displacement can be determined by the maximum displacement value among the warpage factor values ​​displayed in the leftmost sensing strip in the figure; the minimum displacement value among the warpage factor values ​​displayed in the sensing strip can be determined by the minimum displacement value of the Z-direction fiber alignment effect displacement. Similarly, the minimum displacement value can be determined separately. Figure 4 and Figure 5 The maximum and minimum displacement values ​​of the Z-axis temperature difference effect displacement and the Z-axis regional contraction difference effect displacement.

[0069] It should be noted that the sensing strips in the graph corresponding to each warping factor show the maximum and minimum displacement values. The graph also shows the displacement values ​​of other points. The displacement values ​​currently displayed on the plastic part do not show all points. The displacement values ​​in the sensing strips are derived from the displacement values ​​on the plastic part.

[0070] Step S220: Determine the weight of the corresponding warp factor based on the warp factor value of each warp factor.

[0071] Specifically, range analysis is used to calculate the difference between the maximum and minimum displacement values ​​corresponding to each warping factor, thus obtaining the comprehensive displacement value corresponding to each warping factor. Example 1, Figure 3 The maximum displacement value of the Z-axis fiber alignment effect displacement is 0.108, the minimum displacement value is -0.076, and the combined displacement value is the difference between the maximum and minimum displacement values, which is 0.184; therefore, the combined displacement value of the fiber alignment effect displacement is 0.184. Similarly, the combined displacement value of the temperature difference effect displacement is 0.046; and the combined displacement value of the regional shrinkage difference effect displacement is 0.158.

[0072] The combined displacement value corresponding to each warping factor is determined as the weight of each warping factor. Continuing with Example 1 above, the weight of the fiber alignment effect displacement is 0.184. Similarly, the weight of the temperature difference effect displacement is 0.046; and the weight of the regional shrinkage difference effect displacement is 0.158.

[0073] In some embodiments, to more conveniently and quickly determine the weight of each warping factor, the maximum displacement value of each warping factor can be directly determined as the weight of each warping factor. For example, Figure 3 The maximum displacement value of the Z-axis fiber alignment effect displacement is 0.108, so the weight of the fiber alignment effect displacement is 0.108. Omitting the minimum displacement value in this method has two advantages: a) it reduces the amount of calculation and improves computational efficiency; b) because the warping deformation of the plastic part caused by various warping factors may cancel each other out. For example, the minimum displacement value of the fiber alignment effect displacement at the same point on the plastic part is -0.076, and the minimum displacement value of the temperature difference effect displacement is 0.05. In this case, the displacement values ​​between the two can cancel each other out by 0.05; omitting the minimum displacement value also improves the accuracy of the calculation.

[0074] Step S230: Check whether the warping deformation meets the preset warping conditions, and determine whether to adjust the production standard based on the test results.

[0075] Specifically, preset warping conditions may include preset warping deformation amounts.

[0076] If the warpage deformation is less than or equal to the preset warpage deformation, then the simulated plastic part meets the expected product requirements, meaning that the current experimental mold meets the standard of the formal mold.

[0077] If the warpage deformation exceeds the preset warpage deformation, it indicates that the production standard needs to be adjusted. Then, the target warpage factor corresponding to the target weight that meets the preset weight condition is obtained from among the weights. The preset weight condition can be achieved by sorting the weights and selecting a preset number of weights from largest to smallest as the target weights. Alternatively, a preset weight can be set as a reference standard, and the target warpage factor corresponding to the target weight that does not meet the preset weight condition can be extracted.

[0078] This method, by calculating the weights of each warping factor, can quickly pinpoint the factor that has the greatest impact on warping.

[0079] Step S240: Based on the target production standard adjustment method corresponding to the target warpage factor, determine the new production standard to simulate the production of the next batch of plastic parts.

[0080] Specifically, the methods for adjusting the target production standards include adjusting the gate rules, adjusting the cooling rules, and adjusting the product structure rules.

[0081] The gate adjustment rules include one or more of the following: adjusting gate type, adjusting gate size, adjusting gate position, and adjusting gate quantity.

[0082] Adjusting the cooling rules includes one or more of the following: adjusting the size of the water channels, adjusting the type of water channels, adjusting the layout of the water channels, and adjusting the distance between the water channels and the cavity.

[0083] Adjusting the product structure rules involves adjusting the main wall thickness of the plastic part, the position and number of reinforcing ribs, and adding one or more overflow cavities.

[0084] Furthermore, the correspondence between warpage factors and production standard adjustment methods can include:

[0085] The correspondence between fiber alignment effect displacement and gate adjustment rules.

[0086] The correspondence between temperature difference effect displacement and adjustment of cooling rules.

[0087] The correspondence between regional contraction difference effect displacement and adjustment rules for product structure.

[0088] In some embodiments, the correspondence between warpage factor and production standard adjustment method may further include:

[0089] The correspondence between fiber orientation effect displacement and the rules for adjusting the gate and the rules for adjusting the product structure.

[0090] The correspondence between temperature difference effect displacement and adjustment rules for cooling and product structure.

[0091] The displacement due to regional shrinkage difference can be correlated with the adjustment of gate rules and product structure rules.

[0092] To improve experimental efficiency, a maximum number of simulated production runs can be preset. If the preset maximum number of simulated production runs is reached, and the warpage deformation exceeds the preset warpage deformation, a simulation production anomaly warning message is generated. In other words, if, after numerous simulated production runs, the warpage deformation fails to meet the preset limit, continuing the simulation experiment would reduce efficiency. Therefore, generating a simulation production anomaly warning message prompts manual intervention from the experimental personnel. This method of setting a maximum number of simulated production runs avoids the need for endless repetition of experiments when the expected product requirements cannot be met, thereby improving the efficiency of simulated production.

[0093] This method can specify optimization schemes for the biggest influencing factors of warpage deformation, and can set optimization schemes in a targeted manner from aspects such as experimental molds and plastic part structure, and re-run simulation experiments. Each experiment can automatically update the warpage deformation and related parameters in a loop to ensure that the warpage deformation amount meets the preset warpage deformation amount and improve the warpage deformation of the plastic part.

[0094] In some embodiments, the design used is a sealing end cap for a car temperature control system, the injection molding material is PA66GF30, its geometric dimensions are 60mm x 47mm x 6.5mm, and it adopts a large gate fan-shaped injection and a four-cavity arrangement in one mold.

[0095] 1) Experimental molds are made of low-hardness steels such as 45 steel and aluminum.

[0096] 2) Experimental mold trial molding; Specifically, in order to solve the product appearance problem, the optimal process parameters of the experimental mold were determined as follows: melt temperature 290℃, experimental mold temperature 70℃, maximum injection pressure 170MPa, maximum holding pressure 160MPa, holding time 5.33s, cooling water temperature 70℃, and cooling time 13.7s.

[0097] 3) CAE technology analysis of warpage deformation in plastic parts; specifically, using Moldex3D software, importing the model of the corresponding experimental mold for the plastic part, and setting the optimal process parameters obtained from the mold trial, such as... Figure 6 As shown, after adjusting the main wall thickness of the plastic part, the maximum warpage deformation in the Z direction is 0.162 mm. Furthermore, this warpage deformation exceeds the preset warpage deformation.

[0098] 4) Determination of factors influencing warpage deformation; specifically, the warpage of fiber-reinforced plastic parts is formed by the superposition of multiple displacements, caused by... Figures 3 to 5 The comparison shows that the displacement values ​​of the regional shrinkage difference effect are generally distributed in the range of -0.07 to 0.09. This factor has the greatest impact on the warping deformation of plastic parts, so an optimization scheme is specified for this influencing factor.

[0099] 5) Develop an optimization plan; specifically, using single-factor analysis, the main factor causing the regional shrinkage difference effect displacement is the shrinkage of the plastic part. Thinning, for example... Figure 7 The wall thickness at the circled area reduces deformation caused by shrinkage. For example... Figure 8 As shown, an overflow cavity was added, which reduced the deformation caused by uneven fiber orientation in the plastic part.

[0100] 6) Import the new production standards and conduct CAE analysis; specifically, Figure 7 The corresponding solution of thinning the wall thickness at the circle improved the warpage value to some extent, with a warpage deformation of 0.155mm, but it still did not meet the preset warpage deformation. Repeat step 4), as follows. Figure 8 As shown, based on the scheme of thinning the wall thickness at the circle, the scheme of adding an overflow cavity is further analyzed. The scheme of adding an overflow cavity reduces the warping deformation to 0.095mm, which meets the preset warping deformation.

[0101] 7) Production and processing of experimental molds, and trial molding of formal molds.

[0102] 8) Measurement: The sample produced according to the formal mold will be measured under a coordinate measuring machine. The maximum warpage is measured to be 0.105mm, which meets the production requirements.

[0103] This application provides a method and apparatus for improving the warpage deformation of plastic parts based on CAE technology. The method includes using CAE technology to analyze the current batch of plastic parts to obtain the warpage deformation amount, the corresponding warpage factors, and the corresponding warpage factor values. The current batch of plastic parts is produced using experimental molds in accordance with the current production standard. Based on the warpage factor values, the weights of the corresponding warpage factors are determined. If the warpage deformation amount is greater than a preset warpage deformation amount, the target warpage factor corresponding to the target weight that meets the preset weight conditions is obtained. Based on the target production standard adjustment method corresponding to the target warpage factor, a new production standard is determined to simulate the production of the next batch of plastic parts. This method can optimize the solution for the warpage deformation of plastic parts containing fiber shells from aspects such as mold structure and plastic part structure. While accurately and efficiently optimizing the problem of plastic part warpage deformation, it can effectively reduce costs.

[0104] Corresponding to the above method, this application also provides a device for improving the warpage deformation of plastic parts based on CAE technology, such as... Figure 9 As shown, the device includes:

[0105] Analysis unit 910 is used to analyze the current batch of plastic parts using CAE technology to obtain the warpage deformation of the current batch of plastic parts, the warpage deformation corresponding to each warpage factor, and the corresponding warpage factor value; the current batch of plastic parts is produced in a simulated production using experimental molds according to the current production standard;

[0106] The determining unit 920 is used to determine the weight of the corresponding warp factor based on the warp factor value of each warp factor;

[0107] The acquisition unit 930 is used to acquire the target warping factor corresponding to the target weight that satisfies the preset weight condition among the weights if the warping deformation amount is greater than the preset warping deformation amount.

[0108] The determining unit 920 is also used to determine the target production standard adjustment method corresponding to the target warping factor, and to determine a new production standard in order to simulate the production of the next batch of plastic parts.

[0109] The functions of each unit in the device for improving the warping deformation of plastic parts based on CAE technology provided in the above embodiments of this application can be realized through the above-described method steps. Therefore, the specific working process and beneficial effects of each unit in the device for improving the warping deformation of plastic parts based on CAE technology provided in the embodiments of this application will not be repeated here.

[0110] This application also provides an electronic device, such as... Figure 10As shown, it includes a processor 1010, a communication interface 1020, a memory 1030, and a communication bus 1040, wherein the processor 1010, the communication interface 1020, and the memory 1030 communicate with each other through the communication bus 1040.

[0111] Memory 1030 is used to store computer programs;

[0112] When the processor 1010 executes the program stored in the memory 1030, it performs the following steps:

[0113] CAE technology is used to analyze the current batch of plastic parts to obtain the warpage deformation, the corresponding warpage factors, and the corresponding warpage factor values ​​of the current batch of plastic parts; the current batch of plastic parts is produced using experimental molds in accordance with current production standards.

[0114] Based on the warp factor values ​​of each warp factor, the weight of the corresponding warp factor is determined;

[0115] If the warping deformation is greater than the preset warping deformation, then obtain the target warping factor corresponding to the target weight that satisfies the preset weight condition among the weights.

[0116] Based on the target production standard adjustment method corresponding to the target warpage factor, a new production standard is determined to simulate the production of the next batch of plastic parts.

[0117] The communication bus mentioned above can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. This communication bus can be divided into address bus, data bus, control bus, etc. For ease of illustration, only one thick line is used to represent it in the diagram, but this does not mean that there is only one bus or one type of bus.

[0118] The communication interface is used for communication between the aforementioned electronic devices and other devices.

[0119] The memory may include random access memory (RAM) or non-volatile memory (NVM), such as at least one disk storage device. Optionally, the memory may also be at least one storage device located remotely from the aforementioned processor.

[0120] The processors mentioned above can be general-purpose processors, including central processing units (CPUs), network processors (NPs), etc.; they can also be digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0121] The implementation methods and beneficial effects of the various components of the electronic device in the above embodiments for solving the problem can be found in [reference needed]. Figure 2 The steps in the illustrated embodiments are used to implement the electronic device. Therefore, the specific working process and beneficial effects of the electronic device provided in this application will not be repeated here.

[0122] In another embodiment provided in this application, a computer-readable storage medium is also provided, which stores instructions that, when executed on a computer, cause the computer to perform a method for improving the warping deformation of a plastic part based on CAE technology as described in any of the above embodiments.

[0123] In another embodiment provided in this application, a computer program product containing instructions is also provided, which, when run on a computer, causes the computer to execute any of the methods for improving the warping deformation of plastic parts based on CAE technology described in the above embodiments.

[0124] Those skilled in the art will understand that the embodiments in this application can be provided as methods, systems, or computer program products. Therefore, the embodiments in this application can take the form of entirely hardware embodiments, entirely software embodiments, or embodiments combining software and hardware aspects. Furthermore, the embodiments in this application can take the form of computer program products implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0125] This application describes embodiments of methods, apparatus (systems), and computer program products according to embodiments of this application with reference to flowchart illustrations and / or block diagrams. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0126] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0127] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0128] Although preferred embodiments of the present application have been described, those skilled in the art, once they have learned the basic inventive concept, can make other changes and modifications to these embodiments.

[0129] Obviously, those skilled in the art can make various modifications and variations to the embodiments of this application without departing from the spirit and scope of the embodiments of this application.

Claims

1. A method for improving warpage of a plastic part based on CAE technology, characterized in that, The method includes: CAE technology is used to analyze the current batch of plastic parts to obtain the warpage deformation, the corresponding warpage factors, and the corresponding warpage factor values ​​of the current batch of plastic parts; the current batch of plastic parts is produced using experimental molds in accordance with current production standards. Based on the warp factor values ​​of each warp factor, the weight of the corresponding warp factor is determined; If the warping deformation is greater than the preset warping deformation, then obtain the target warping factor corresponding to the target weight that meets the preset weight condition among the weights. Based on the target production standard adjustment method corresponding to the target warpage factor, a new production standard is determined to simulate the production of the next batch of plastic parts; The warping factors include fiber alignment effect displacement, temperature difference effect displacement, and regional shrinkage difference effect displacement. The target production standard adjustment methods include adjusting the gate rules, adjusting the cooling rules, and adjusting the product structure rules; The gate adjustment rules include one or more of the following: adjusting gate type, adjusting gate size, adjusting gate position, and adjusting gate quantity; The cooling adjustment rules include one or more of the following: adjusting the size of the water channel, adjusting the type of water channel, adjusting the arrangement of the water channel, and adjusting the distance between the water channel and the cavity; The rules for adjusting the product structure include adjusting the main wall thickness of the plastic part, the position and number of reinforcing ribs, and adding one or more overflow cavities.

2. The method of claim 1, wherein, The method further includes: If the warpage deformation is not greater than the preset warpage deformation, then the simulated plastic part is determined to meet the expected product requirements.

3. The method of claim 1, wherein, Based on the warp factor values ​​of each warp factor, determine the weight of the corresponding warp factor, including: Using range analysis, the difference between the maximum and minimum displacement values ​​of each warping factor is calculated to obtain the comprehensive displacement value corresponding to each warping factor. The combined displacement value corresponding to each warping factor is determined as the weight of each warping factor.

4. The method as described in claim 1, characterized in that, The correspondence between the warpage factor and the production standard adjustment method includes: The correspondence between the fiber alignment effect displacement and the gate adjustment rule; The correspondence between the temperature difference effect displacement and the adjusted cooling rules; The correspondence between the regional shrinkage difference effect displacement and the adjusted product structure rules.

5. The method of claim 1, wherein, Based on the target production standard adjustment method corresponding to the target warpage factor, a new production standard is determined to simulate the production of the next batch of plastic parts, including: If the preset maximum number of simulated production cycles is reached, and the warping deformation exceeds the preset warping deformation, a simulated production anomaly warning message will be generated.

6. An apparatus for improving warpage of a plastic part based on CAE technology, characterized in that, The apparatus is used in the method according to any one of claims 1-5, the apparatus comprising: The analysis unit is used to analyze the current batch of plastic parts using CAE technology to obtain the warpage deformation of the current batch of plastic parts, the warpage factors corresponding to the warpage deformation, and the corresponding warpage factor values; the current batch of plastic parts is produced using experimental molds in accordance with the current production standards; The determining unit is used to determine the weight of the corresponding warp factor based on the warp factor value of each warp factor; The acquisition unit is used to acquire the target warping factor corresponding to the target weight that satisfies the preset weight condition among the weights if the warping deformation amount is greater than the preset warping deformation amount. The determining unit is also used to determine the target production standard adjustment method corresponding to the target warping factor, and to determine a new production standard to simulate the production of the next batch of plastic parts.

7. The apparatus of claim 6, wherein, The acquisition unit is further configured to determine that the simulated plastic part meets the expected product requirements if the warpage deformation is not greater than the preset warpage deformation.

8. An electronic device, comprising: The electronic device includes a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; Memory, used to store computer programs; A processor, when executing a program stored in memory, implements the steps of the method according to any one of claims 1-5.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the steps of the method described in any one of claims 1-5.

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