Method, device, electronic device and storage medium for determining initial process parameters
By systematically generating the initial process parameters for injection molding and combining them with material, equipment, and process requirements, the parameter settings during the injection molding process are optimized, solving the problems of low mold trial efficiency and inconsistent parameters in the existing technology, and achieving efficient and accurate process parameter determination.
Patent Information
- Application Number
- CN202510993110.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-18
- Publication Date
- 2025-09-30
- Estimated Expiration
- 2045-07-18
AI Technical Summary
In the existing technology, the determination of the initial process parameters for injection molding relies on the experience of the technician, resulting in low mold trial efficiency, long time consumption and high material costs. In addition, the parameter settings vary greatly, making it difficult to ensure consistency.
By determining the target initial molding process parameters, establishing a parametric template, and combining the material properties, equipment characteristics, and process requirements of the injection molded product, the process parameter values for each injection molding stage are systematically generated, including injection parameters, holding pressure parameters, and cooling parameters, etc., and the parameter settings are optimized using formula calculations and correction models.
It improves the efficiency of mold trial, reduces time and material costs, ensures the consistency and accuracy of parameter settings, and reduces the number of mold trials and material waste.
Smart Images

Figure CN120481229B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of intelligent manufacturing technology, and in particular to a method, device, electronic device and storage medium for determining initial process parameters. Background Art
[0002] Injection molding is a precision machining technology widely used in modern manufacturing, producing high-precision, high-quality plastic products. During the trial run of a new mold, the initial process parameters directly impact product quality, trial run efficiency, and production costs. However, due to the wide variety of parameters involved in the injection molding process, each of which has varying degrees of impact on molding defects, determining appropriate initial process parameters is technically challenging.
[0003] At present, the determination of the initial process parameters for injection molding mainly relies on the experience and judgment of the technicians. The technicians usually find the initial process parameters suitable for the target injection molding product based on their own experience or by referring to the parameters of similar products through repeated mold trials and molding sample tests.
[0004] However, because technicians must repeatedly experiment and test to obtain accurate parameters during mold trials, mold trial efficiency is low, significant time and material consumption is wasted, and costs are increased. Furthermore, due to the varying skill levels of technicians, parameter settings vary significantly, making consistency difficult to ensure, impacting the stability of the injection molding process and product quality. Summary of the Invention
[0005] The present invention provides a method, device, electronic device, and storage medium for determining initial process parameters, aiming to address the shortcomings of existing technologies, such as low mold trial efficiency, long time consumption, high material costs, large parameter setting variations, and difficulty in ensuring consistency. The present invention provides a method for determining initial process parameters, comprising the following steps: determining all target initial molding process parameters, the target initial molding process parameters being relevant to the quality of the target injection molded product and covering the initial molding process parameters for different injection segments of each injection stage of the target injection molded product;
[0006] Establishing a parameterized template for each of the target initial molding process parameters according to a generation rule for each of the target initial molding process parameters;
[0007] According to the injection molding process of the target injection molded product, constructing a molding initial process parameter template set using the parameterized templates of all the target molding initial process parameters;
[0008] The initial molding process parameter template set is used to determine all initial molding process parameter values for each injection segment of the target injection molded product in each injection molding stage.
[0009] According to a method for determining initial process parameters provided by the present invention, after establishing a parameterized template for each target initial process parameter according to a generation rule for each target initial process parameter, the method further includes:
[0010] The generation rule of the target initial molding process parameters is modified according to at least one of material properties, injection molding machine equipment properties, and injection molding process requirements related to the target injection molded product.
[0011] According to a method for determining initial process parameters provided by the present invention, the target initial molding process parameters include an injection end position in the injection parameters, and the injection end position is determined based on a VP switching position and an injection screw stroke;
[0012] The modifying of the generation rule of the target initial molding process parameters includes:
[0013] Obtain an initial generative model of the injection screw stroke;
[0014] Based on at least one of a volume expansion rate of the injection molding material, a check ring coefficient of the injection molding machine, and a thickness of a gasket of the injection molding screw, the initial generation model of the injection molding screw stroke is modified to obtain an injection molding screw stroke generation model;
[0015] The injection molding machine check ring coefficient is used to characterize the wear state of the injection molding machine check ring.
[0016] According to a method for determining initial process parameters provided by the present invention, the initial generation model of the injection molding screw stroke is corrected based on at least one of the volume expansion rate of the injection molding material, the non-return ring coefficient of the injection molding machine, and the thickness of the injection molding screw padding to obtain the injection molding screw stroke generation model, including:
[0017] Obtaining the volume expansion rate of the injection molding material, the anti-return ring coefficient of the injection molding machine, and the thickness of the injection molding screw gasket;
[0018] The injection screw stroke generated by the initial generation model is combined with the volume expansion rate and the injection molding machine check ring coefficient, and combined with the influence of the injection screw padding thickness on the injection screw stroke to correct the initial generation model and obtain the injection screw stroke generation model.
[0019] According to a method for determining initial process parameters provided by the present invention, the volume expansion rate of the injection molding material is determined based on the following steps:
[0020] determining a first ratio between a bulk density and a melt density of the injection molding material;
[0021] Based on the material type of the injection molding material, calling the expansion rate influence coefficient mapping table;
[0022] Based on the melt temperature of the injection molding material during injection molding, the expansion rate influence coefficient is queried from the expansion rate influence coefficient mapping table; the expansion rate influence coefficient mapping table records the expansion rate influence coefficient corresponding to each melt temperature;
[0023] The volume expansion rate of the injection molding material is determined based on the first ratio and the expansion rate influence coefficient.
[0024] According to a method for determining initial process parameters provided by the present invention, the injection molding machine check ring coefficient is determined based on the following steps:
[0025] Performing a plurality of filling stage tests on an injection molding machine, obtaining a test injection molded part obtained from each filling stage test, and determining the mass of each test injection molded part;
[0026] Obtain the maximum mass, minimum mass and average mass of all test injection molded parts;
[0027] determining a mass difference between the maximum mass and the minimum mass, and determining a second ratio between the mass difference and the average mass;
[0028] The injection molding machine check ring coefficient is determined based on the second ratio.
[0029] According to an initial process parameter determination method provided by the present invention, in the injection molding screw stroke generation model, the influence of the injection molding screw padding thickness on the injection molding screw stroke is characterized by the padding thickness influence coefficient;
[0030] The pad thickness influence factor is determined based on the following steps:
[0031] Determining the thickness of the injection screw pad during the injection molding process of the target injection molded product;
[0032] The padding thickness influence coefficient is retrieved from a padding thickness influence coefficient mapping table based on the injection screw padding thickness; the padding thickness influence coefficient mapping table records the padding thickness influence coefficient corresponding to each injection screw padding thickness.
[0033] The present invention also provides a process parameter determination device, comprising:
[0034] a process parameter determination unit, configured to determine all target initial molding process parameters, wherein the target initial molding process parameters are related to the quality of the target injection molded product and cover the initial molding process parameters of different injection sections in each injection molding stage of the target injection molded product;
[0035] A parameter template building unit, configured to build a parameterized template for each target initial molding process parameter according to a generation rule for each target initial molding process parameter;
[0036] A parameter template combination unit, configured to construct a molding initial process parameter template set using the parameterized template group of all the target molding initial process parameters according to the injection molding process of the target injection molded product;
[0037] The process parameter generating unit is used to determine all the initial process parameter values of each injection segment in each injection stage of the target injection molded product by using the initial process parameter template set.
[0038] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, any of the above-described methods for determining initial process parameters is implemented.
[0039] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements any of the above-described methods for determining initial process parameters.
[0040] The present invention also provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the computer program implements any of the above-mentioned methods for determining initial process parameters.
[0041] The initial process parameter determination method, device, electronic device and storage medium provided by the present invention construct parameterized templates and template sets through the generation rules of initial process parameters and the injection molding process, and systematically generate the initial process parameter values of the injection molded product at each injection molding stage. This can improve the accuracy of the initial process parameter settings for molding, thereby improving the efficiency of mold trial, reducing time and material costs, and ensuring the consistency of parameter settings. BRIEF DESCRIPTION OF THE DRAWINGS
[0042] In order to more clearly illustrate the technical solutions in the present invention or the prior art, a brief introduction is given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.
[0043] Figure 1 It is a flow chart of the method for determining initial process parameters provided by the present invention.
[0044] Figure 2 The present invention provides a flow chart of a method for correcting an initial generation model of an injection molding screw stroke.
[0045] Figure 3 It is a flow chart of the method for determining the volume expansion rate of injection molding materials provided by the present invention.
[0046] Figure 4 The present invention is a flowchart of a method for determining a check ring coefficient of an injection molding machine.
[0047] Figure 5 It is a structural schematic diagram of the process parameter determination device provided by the present invention.
[0048] Figure 6 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION
[0049] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.
[0050] It should be noted that, in the description of the present invention, the terms "comprises", "includes" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprising a ..." do not exclude the presence of other identical elements in the process, method, article or device comprising the elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.
[0051] The following combination Figures 1-6 The present invention describes a method, device, electronic device and storage medium for determining initial process parameters.
[0052] Figure 1 It is a flow chart of the method for determining the initial process parameters provided by the present invention. The execution subject can be an injection molding process parameter optimization system, an industrial control computer, an injection molding machine embedded controller or a cloud server. Unless otherwise specified, the subsequent embodiments will be described using the industrial control computer as an example.
[0053] like Figure 1 As shown, the method for determining the initial process parameters provided by the present invention includes but is not limited to the following steps:
[0054] Step 110 : determining all target initial molding process parameters, which are related to the quality of the target injection molded product and cover the initial molding process parameters of different injection sections in each injection stage of the target injection molded product.
[0055] Specifically, the target injection molded product can be a household appliance component with specific functions and structures, such as an air conditioner housing, washing machine panel, rice cooker housing, or refrigerator door panel, produced through the injection molding process. These appliance housings typically have complex structures and appearance requirements, requiring precise control of process parameters at each injection molding stage during production.
[0056] Specifically, the target quality of injection molded products can be key characteristics that affect product performance, appearance, and durability, including but not limited to dimensional accuracy, surface finish, mechanical strength, and heat resistance. For example, an air conditioner casing requires a high surface finish to enhance its appearance and texture, while also requiring high mechanical strength to ensure secure installation.
[0057] Alternatively, during production, the target quality requirements for the injection molded product can influence the initial molding process parameter settings. For example, if a high surface finish is required for an air conditioner casing, more precise temperature control and injection pressure settings may be required to avoid surface defects or bubbles. If the mechanical strength of the product is to be ensured, the injection speed and pressure may need to be adjusted to ensure that the plastic material completely fills the mold and is properly cooled.
[0058] Specifically, the injection molding phases of a target injection molded product may include the injection phase, the holding phase, the cooling phase, and the demolding phase, and each phase has different process parameter requirements. For example, when producing home appliance housings, the injection phase may require high injection speed and pressure to ensure that the plastic melt quickly fills the mold, while the holding phase requires maintaining a certain pressure to ensure uniform plastic flow and reduce defects. The cooling phase requires reasonable cooling time and temperature control.
[0059] Specifically, the injection phase can include single-stage and multi-stage injection, and parameters such as injection speed, injection pressure, and injection time can vary for each injection stage. For example, single-stage injection may be suitable for products with simple structures and low injection quality requirements, while multi-stage injection is suitable for products with complex structures and high injection quality requirements. By properly setting the parameters of each injection stage, it is possible to better control injection quality and improve product molding precision.
[0060] As an optional embodiment, during the injection molding phase of the air conditioner casing, multi-stage injection molding can be used to improve the molding precision and quality of the product. Specifically, the multi-stage injection molding parameter settings are adjusted according to the different injection stages to ensure smooth injection and ensure that the final product meets the design requirements.
[0061] Optionally, in the first injection stage, the injection speed is set higher to ensure that the mold can be filled quickly and to avoid uneven cooling and bubble formation caused by too slow an injection speed. The injection pressure at this stage is relatively low, mainly to ensure that the plastic flows quickly into various parts of the mold. The injection speed is usually 70%-80% of the maximum injection speed of the machine. For example, if the maximum injection speed of the injection molding machine is 300 mm / s, the injection speed of the first stage can be set to 210-240 mm / s. The injection pressure is generally 50%-60% of the maximum injection pressure of the injection molding machine. For example, if the maximum injection pressure is 100 MPa, the injection pressure of the first stage can be set to 50-60 MPa.
[0062] Optionally, in the second injection, the injection pressure needs to be increased to ensure that the plastic can completely fill the mold, especially in areas with complex shapes, to reduce the generation of voids and bubbles. At this time, the injection speed is moderate to ensure that the material can smoothly enter the detailed parts of the mold. The injection speed is usually set to 60%-70% of the injection speed of the first section. For example, the injection speed can be set to 130-170 mm / s. The injection pressure is increased to 70%-80% of the maximum injection pressure of the injection molding machine. For example, if the maximum injection pressure is 100 MPa, the second section injection pressure can be set to 70-80 MPa.
[0063] Optionally, during the third injection stage, the injection pressure remains high to ensure that the plastic material completely fills the mold and avoids shrinkage or warping of the plastic. The injection speed is lower during this stage to ensure that the density and dimensional accuracy of the product are controlled. The injection speed is generally set to 30%-40% of the maximum injection speed of the injection molding machine. For example, if the injection speed is 300 mm / s, the injection speed in the third stage can be set to 90-120 mm / s. The injection pressure is usually maintained at a high level, at 85%-90% of the maximum injection pressure of the injection molding machine. For example, if the maximum injection pressure is 100 MPa, the injection pressure in the third stage can be set to 85-90 MPa.
[0064] Optionally, the last injection stage is mainly used to maintain the shape of the injection molded product and ensure that the appearance and performance of the product are not affected by excessive compression. The injection pressure can be slightly reduced, but still maintain sufficient pressure to complete the final shape of the product. The injection speed in this stage is usually set lower, which is 20%-30% of the maximum injection speed of the injection molding machine. For example, the injection speed can be set to 60-90 mm / s. The injection pressure is close to or equal to the maximum injection pressure of the injection molding machine, and is usually set to 90%-100% of the maximum injection pressure of the injection molding machine. For example, if the maximum injection pressure is 100 MPa, the injection pressure in the fourth stage can be set to 90-100 MPa.
[0065] Specifically, initial molding process parameters, including injection temperature, pressure, speed, position, and time, play a key role in the injection molding process. Scientifically setting these parameters ensures consistent product quality and production efficiency. For example, excessive injection pressure can lead to over-compression of the plastic material after the mold is filled, resulting in bubbles or defects, while too low an injection speed can result in incomplete mold filling.
[0066] Step 120 : establishing a parameterized template for each of the target initial molding process parameters according to a generation rule for each of the target initial molding process parameters.
[0067] Specifically, the target initial molding process parameters may include a series of process parameters such as injection temperature, injection pressure, injection speed, injection position, and injection time. The injection temperature may include the nozzle temperature and the barrel temperature; the injection pressure may be the pressure applied by the end face of the screw or plunger on the unit area of the melt; the injection speed may be the movement speed of the screw or plunger during injection; and the injection position may be the target position to which the screw or plunger moves during injection.
[0068] Optionally, the generation rules of the target initial molding process parameters are based on a formula calculation method, which uses mathematical formulas, injection molding experience, test results, etc. to determine the initial molding process parameters according to product characteristics and material properties, ensuring the accuracy and consistency of the initial molding process parameter settings.
[0069] Specifically, the injection temperature may include nozzle temperature, barrel temperature, etc., wherein the nozzle temperature may be determined by the nozzle type and the recommended molding temperature of the material.
[0070] Alternatively, if the nozzle has an anti-drooling function, the nozzle temperature can be calculated using formula (1):
[0071] (1)
[0072] in, is the nozzle temperature, in °C; It is the recommended molding temperature of the material, in °C.
[0073] If the nozzle does not have the anti-drooling function, the nozzle temperature can be obtained by formula (2):
[0074] (2)
[0075] in, is the nozzle temperature, in °C; It is the recommended molding temperature of the material, in °C.
[0076] Optionally, the temperature of the first section of the barrel is determined by the recommended molding temperature of the material, and starting from the second section, it decreases step by step, with each section decreasing by 10°C.
[0077] The calculation method of the temperature of the barrel section 1-5 is shown in formulas (3)-(7):
[0078] (3)
[0079] (4)
[0080] (5)
[0081] (6)
[0082] (7)
[0083] in, 、 、 、 、 The temperature of the barrel section 1-5, in °C; It is the recommended molding temperature of the material, in °C.
[0084] Alternatively, the injection pressure is calculated as shown in formula (8):
[0085] (8)
[0086] in, is the injection pressure; is the peak pressure, in MPa; The pressure coefficient is usually between 0.8 and 1.0. The selection of the pressure coefficient can be determined according to the fluidity of the injection molding material and the complexity of the mold. For example, for complex injection molds or low-fluidity materials, a higher pressure coefficient (such as 0.9 to 1.0) may be required to ensure that the plastic melt completely fills the mold.
[0087] Optionally, the injection speed includes a first-stage injection speed and a multi-stage injection speed. When performing a first-stage injection, the injection speed is calculated as shown in formula (9):
[0088] (9)
[0089] in, is the injection speed, The maximum injection speed of the machine, in mm / s.
[0090] When performing multi-stage injection, taking four-stage injection as an example, the injection speed calculation method from the first to the fourth stage is shown in formulas (10)-(13):
[0091] (10)
[0092] (11)
[0093] (12)
[0094] (13)
[0095] in, 、 、 、 They are respectively the injection speeds from the first to the fourth stage during four-stage injection. It is the injection speed during primary injection, in mm / s.
[0096] It should be noted that multi-stage injection refers to dividing the entire injection process into multiple injection stages, and setting different injection speeds and pressures in each injection stage according to the filling process or mold cavity structure characteristics; while multi-segment injection further subdivides the injection speed into multiple segments within each injection stage, and each segment corresponds to a specific speed setting value to achieve more precise filling control.
[0097] For example, in a multi-stage injection process, the first-stage injection provides the initial injection speed and pressure, which provides a reference for subsequent stages (such as the second and third-stage injections). The second-stage injection will adjust the parameters appropriately according to the status after the first-stage injection (such as injection stroke and melt filling status) to optimize the filling process and ensure the continuity and stability of the injection molding.
[0098] Optionally, the injection position mainly includes the injection stroke and the injection end position. When performing a first-level injection, the injection stroke and the injection end position are calculated as shown in formula (14) and formula (15) respectively:
[0099] (14)
[0100] (15)
[0101] in, is the injection stroke, in mm; is the total weight of the product, in g; is the total weight of the runner, in g; is the melt density, in units of ; D is the screw diameter, in mm; is the injection end position, in mm; It is the VP switching position, which refers to the position of the screw or plunger when the injection process is completed.
[0102] Alternatively, taking four-stage injection as an example, the calculation method of the injection stroke from the first to the fourth stage can be shown as formulas (16)-(19):
[0103] (16)
[0104] (17)
[0105] (18)
[0106] (19)
[0107] in, 、 、 and They are the injection strokes from the first to the third stage during four-stage injection, in mm; is the injection end position, in mm; is the total weight of the product, in g; is the total weight of the runner, in g; The first-stage injection stroke, in mm; The VP switching position refers to the position of the screw or plunger when the injection process is completed.
[0108] Specifically, the parameterized template of the target molding initial process parameters can include the process parameters of the injection stage, the holding stage, the cooling stage, and the demolding stage. These parameters determine the operation settings of each stage in the injection molding process, ensuring the quality and production efficiency of the final product. The parameterized template of the target molding initial process parameters not only helps to form a clear process control logic, but also facilitates the subsequent correction and optimization of key parameters. For example, the injection stage parameter template may include the following:
[0109]
[0110] Step 130 : constructing a molding initial process parameter template set using the parameterized templates of all the target molding initial process parameters according to the injection molding process of the target injection molded product.
[0111] Specifically, the injection molding process of the target injection molded product may include the injection stage, the holding stage, the cooling stage, and the demolding stage. The injection stage is the process of injecting molten plastic into the mold. Parameters such as injection pressure, injection speed, and injection position play a decisive role in this stage. The holding stage is to maintain a certain pressure after the injection is completed to ensure that the plastic in the mold is fully filled and to avoid defects such as bubbles and shrinkage. The cooling stage follows closely. During this stage, the cooling time and temperature of the plastic after molding have a significant impact on the dimensional accuracy and strength of the final product. Finally, the demolding stage ensures that the molded plastic product is smoothly removed from the mold without damaging the product.
[0112] For example, when producing air conditioner housings, the injection molding process is divided into four stages. First, during the injection stage, high injection speed and pressure are set to ensure that the polypropylene material quickly and evenly fills the mold. During the holding stage, a certain pressure is maintained to ensure product stability and density, avoiding voids or shrinkage. Next, during the cooling stage, the cooling time is adjusted according to the mold wall thickness to ensure the dimensional accuracy of the housing. Finally, during the demolding stage, demolding begins when the temperature reaches 45°C, ensuring that the housing shape is not affected and that it can be demolded smoothly.
[0113] Specifically, the initial molding process parameter template set refers to a collection of initial molding process parameter templates, which may include initial molding process parameters of different injection segments in each injection molding stage of a target injection molded product.
[0114] By establishing a template set of initial molding process parameters, we can ensure that the parameter settings for each production stage meet the requirements for product quality and production efficiency. For example, in the injection stage, the template set includes settings for injection speed, injection pressure, and injection stroke, while in the holding stage, parameters such as holding pressure and holding time are included. The parameters for each injection stage are determined through formula calculations to ensure stable and consistent product quality.
[0115] For example, the initial process parameter template set for the molding of an air conditioner casing may include the following: initialization configuration of key process parameters such as temperature, pressure, speed, time, etc. involved in each major stage of the injection molding process (including the injection stage, pressure holding stage, cooling stage, and demolding stage), and providing clear calculation formulas or recommended numerical ranges.
[0116]
[0117] Step 140 : using the initial molding process parameter template set, determining all initial molding process parameter values for each injection segment of each injection molding stage of the target injection molded product.
[0118] Optionally, the initial molding process parameter template set provides calculation formulas for process parameters such as nozzle temperature, barrel temperature, injection pressure, and injection speed. The technician can input the corresponding product characteristics and material data into the injection molding process parameter optimization system, which automatically calculates the parameter values for each stage. These formulas help determine the specific process parameters for each stage and each injection segment based on the characteristics of the target injection molded product and the requirements of the injection molding process.
[0119] For example, a process engineer can input the target injection molding product's material type (such as polypropylene or polycarbonate), mold design, product geometry (such as the thickness and complex areas of an air conditioner casing), and injection molding machine capabilities (such as maximum injection pressure and maximum injection speed) into the injection molding process parameter optimization system. Based on this input data, the system automatically generates the specific process parameters required for each injection molding stage (such as injection, holding pressure, cooling, and demolding) and each injection segment (such as the first, second, and third segments) using calculation formulas in the template.
[0120] The method for determining initial process parameters provided in this embodiment constructs parameterized templates and template sets based on initial process parameter generation rules and the injection molding process, systematically generating initial process parameter values for each injection molding stage. This method can improve the accuracy of initial process parameter settings for molding, thereby enhancing mold trial efficiency, reducing time and material costs, and ensuring parameter setting consistency. Compared with traditional methods that rely on technician experience for adjustment, this method can significantly reduce the number of mold trials and material waste, achieve standardization and automation of parameter settings, and address the shortcomings of existing technologies such as low mold trial efficiency, long time consumption, high material costs, and large parameter setting variations and difficulty in ensuring consistency.
[0121] In another embodiment of the present invention, after establishing the parameterized template of each target initial molding process parameter according to the generation rule of each target initial molding process parameter, the method further includes:
[0122] The generation rule of the target initial molding process parameters is modified according to at least one of material properties, injection molding machine equipment properties, and injection molding process requirements related to the target injection molded product.
[0123] Specifically, the material properties relevant to the target injection molded product can include: material type, fluidity, melt index, thermal conductivity, and crystallinity. Different materials behave very differently during the injection molding process, so the initial process parameters must be modified based on the specific characteristics of the material. For materials with low melt fluidity (such as high-density polyethylene), to ensure that the melt can smoothly fill the mold, it may be necessary to increase the injection pressure or temperature to overcome the material's fluidity limitations. For materials with high fluidity (such as low-density polyethylene or polypropylene with better fluidity), the injection pressure can be appropriately reduced to avoid excessively rapid filling of the material, which can cause uneven mold filling.
[0124] For example, when producing complex-shaped air-conditioning housings, if high-density polyethylene is used as the raw material, it may be necessary to adjust the injection pressure in the generation rules, such as increasing the pressure from the original setting of 80 MPa to 90 MPa, to ensure that the plastic material can evenly fill the mold.
[0125] Specifically, injection molding machine characteristics may include: maximum injection pressure, injection speed, screw stroke, and the temperature control accuracy of the heating system. These characteristics determine the capabilities and limitations of the injection molding machine in actual production, and the generated process parameters need to be modified based on the actual equipment used. If the maximum injection pressure of the injection molding machine is low, it may not meet certain high-pressure injection requirements. In this case, it is necessary to adjust the injection speed or reduce the injection pressure to adapt to the equipment capabilities. In addition, the temperature control accuracy of the injection molding machine's heating system can also affect the material's melt temperature. If the equipment's heating accuracy is poor, it may be necessary to adjust the material's melt temperature or nozzle temperature to ensure temperature stability.
[0126] For example, when producing refrigerator shells, if the injection molding machine used has a low injection pressure, the maximum injection pressure is 80 MPa, and the injection pressure set in the original template is 100 MPa, then the injection pressure needs to be adjusted to 80 MPa to ensure that the equipment can work normally, and at the same time, the lack of pressure can be compensated by increasing the injection speed.
[0127] Specifically, injection molding process requirements can include parameters such as injection speed, injection time, holding time, and cooling time. These requirements can vary depending on the specific design and production needs of the product. For example, for thin-walled parts, shorter injection and holding times are required to ensure that the plastic completely fills the mold in a short time; while for thick-walled parts, longer holding times and higher injection pressures are required to ensure complete filling and uniform density of the plastic.
[0128] For example, when producing a thick-walled plastic container, you may need to increase the injection time and hold time to ensure that the plastic can fully fill the thick mold wall and maintain stable dimensions. Based on this requirement, the injection time in the generated rule can be increased from the initial setting of 2 seconds to 3 seconds, and the hold time can also be appropriately extended to 5 seconds.
[0129] Specifically, modifying the generation rules for the target initial molding process parameters can include adjusting the process parameters in the generation rules based on the aforementioned material properties, equipment characteristics, and process requirements. For example, the injection pressure and injection speed can be adjusted to suit the material's fluidity and mold complexity, the injection temperature and barrel temperature can be modified to ensure the material remains in a suitable molten state during the injection molding process, and the holding time can be increased or decreased to accommodate the product's wall thickness and requirements. In this way, process engineers can more flexibly adjust process parameters in actual production, ensuring that each batch of products meets design requirements and achieves optimal production efficiency.
[0130] For example, when producing a thick-walled product, in order to ensure sufficient injection molding effect, the technician can adjust the injection pressure and injection speed, increase the holding time, and fine-tune the melting temperature of the material to ensure that the final plastic part is flawless and has sufficient strength and stability.
[0131] The initial process parameter determination method provided by the present invention establishes a parameterized template according to the generation rules of each target molding initial process parameter, and modifies the generation rules in combination with the material properties of the target injection molded product, the equipment characteristics of the injection molding machine and the injection molding process requirements. It can ensure that the process parameters of each injection molding stage are set accurately and optimized to meet the actual needs of different products, equipment and processes.
[0132] In another embodiment of the present invention, the target initial molding process parameters include an injection end position in the injection parameters, and the injection end position is determined based on the VP switching position and the injection screw stroke;
[0133] The modifying of the generation rule of the target initial molding process parameters includes:
[0134] Obtain an initial generative model of the injection screw stroke;
[0135] Based on at least one of a volume expansion rate of the injection molding material, a check ring coefficient of the injection molding machine, and a thickness of a gasket of the injection molding screw, the initial generation model of the injection molding screw stroke is modified to obtain an injection molding screw stroke generation model;
[0136] The injection molding machine check ring coefficient is used to characterize the wear state of the injection molding machine check ring.
[0137] Specifically, the injection end position refers to the final position where the screw or plunger stops moving at the end of the injection process. Typically, the injection end position is calculated based on the VP switch position and the injection screw stroke. For example, in injection molding, if the injection screw has filled to a preset position, the screw will stop and follow the target position setting to ensure uniform filling of all mold areas.
[0138] Specifically, the VP switch position refers to the point during the injection process where the injection molding machine's control system switches from injection speed control to pressure control. This setting ensures uniform filling of the material within the mold and avoids defects caused by insufficient or excessive pressure. The VP switch position is typically set at 80%-90% of the injection screw's stroke to ensure uniform plastic flow and prevent plastic stagnation within the mold.
[0139] Specifically, the injection screw stroke refers to the distance the screw moves along its axial direction during the injection process. This distance determines the volume of injected material and the filling of the mold. The injection screw stroke is very important for the material filling process. Too short a stroke may result in insufficient material filling, while too long a stroke may lead to over-injection or plastic waste.
[0140] Alternatively, the injection end position is derived from the VP switching position plus the injection screw stroke. This means the injection end position accurately reflects the position of the plastic material during the injection process, ensuring accurate and complete mold filling.
[0141] Specifically, an initial generation model of the injection screw stroke can be obtained based on the volume of the injection molded product, the volume of the runner, and the screw diameter.
[0142] Alternatively, the calculation method of the injection screw stroke is shown in formula (20):
[0143] (20)
[0144] in, is the injection screw stroke; is the product volume; is the flow channel volume; is the screw diameter.
[0145] Specifically, the volume expansion rate of an injection molding material reflects the change in volume during the cooling process. During the injection molding process, the material expands or contracts as it transitions from a molten state to a solid state. Accurately calculating the expansion rate is crucial to the dimensional stability of the product. The higher the volume expansion rate, the more likely the molded product will change in size. Therefore, it's important to account for this material's expansion characteristics when calculating the injection molding screw stroke.
[0146] Specifically, the check ring coefficient of an injection molding machine can be used to characterize the wear of the check ring. The degree of check ring wear directly affects the motion of the injection screw and, in turn, the injection quality of the plastic material. Excessive check ring wear can lead to unstable screw stroke, thus affecting the precision and consistency of the molded product. Therefore, this factor needs to be taken into account when revising the screw stroke generation model.
[0147] Specifically, the thickness of the injection molding screw padding is the thickness of the area where the screw contacts the material, which affects the material's melting and fluidity. If the padding is too thick, excess material will accumulate, and the molten plastic will easily decompose and yellow in the barrel. If the padding is too thin, the screw stroke will be reduced relative to the tonnage of the machine, and there is a risk of the screw contacting and colliding with the nozzle.
[0148] Alternatively, based on the volume expansion rate of the injection molding material, the coefficient of the injection molding machine's check ring, and the thickness of the injection molding screw padding, a calculation method for correcting the initial generation model of the injection molding screw stroke is shown in formula (21):
[0149] (twenty one)
[0150] in, is the injection screw stroke, is the product volume; is the flow channel volume; is the screw diameter; is the volume expansion rate of the injection molding material; is the anti-return ring coefficient of the injection molding machine; is the thickness of the injection screw gasket.
[0151] The initial process parameter determination method provided by the present invention, by combining the precise calculation of the injection molding end position, the correction of the injection molding screw stroke and the adjustment of other related parameters, can more accurately control material filling and mold filling during the injection molding process, reduce material waste, and ensure product quality and production efficiency.
[0152] Figure 2 Schematic diagram of the process of the method for correcting the initial generation model of the injection screw stroke provided by the present invention, as shown in FIG. Figure 2 As shown, in another embodiment of the present invention, based on at least one of the volume expansion rate of the injection molding material, the non-return ring coefficient of the injection molding machine, and the thickness of the injection screw padding, the initial generation model of the injection molding screw stroke is corrected to obtain the injection molding screw stroke generation model, which specifically includes the following steps:
[0153] Step 210 , obtaining the volume expansion rate of the injection molding material, the anti-return ring coefficient of the injection molding machine, and the thickness of the injection screw gasket.
[0154] Alternatively, the volume expansion rate of the injection molding material is calculated as shown in formula (22):
[0155] (twenty two)
[0156] in, is the volume expansion rate of the injection molding material; is the entity density; is the melt density; is the coefficient corresponding to the melt temperature.
[0157] In step 220, the injection screw stroke generated by the initial generation model is combined with the volume expansion rate and the injection molding machine check ring coefficient, and the influence of the injection screw padding thickness on the injection screw stroke is combined to correct the initial generation model and obtain the injection screw stroke generation model.
[0158] Alternatively, the calculation method for correcting the initial generation model of the injection screw stroke can be shown as formula (23):
[0159] (twenty three)
[0160] in, is the injection screw stroke, is the product volume; is the flow channel volume; is the screw diameter; is the entity density; is the melt density; is the coefficient corresponding to the melt temperature; is the maximum weight of the product; is the minimum weight of the product; is the average weight of the product; is the thickness of the plastic screw gasket.
[0161] The initial process parameter determination method provided by the present invention corrects the initial generation model of the injection molding screw stroke based on at least one parameter among the volume expansion rate of the injection molding material, the injection molding machine check ring coefficient, and the injection molding screw padding thickness. It can effectively avoid insufficient or excessive injection caused by screw stroke error, reduce the debugging frequency during the mold trial process, and improve the mold trial efficiency and the consistency of product molding.
[0162] Figure 3 Schematic diagram of the method for determining the volume expansion rate of injection molding materials provided by the present invention. Figure 3 As shown, in another embodiment of the present invention, further optimization of the method for determining the initial process parameters is provided. In this embodiment, the volume expansion rate of the injection molding material is determined based on the following steps:
[0163] Step 310 : determining a first ratio between the bulk density and the melt density of the injection molding material.
[0164] Specifically, the bulk density of an injection molding material refers to its solid-state density at room temperature and pressure, typically based on experimental measurements or data from the material manual. Melt density, on the other hand, refers to the density of the material at injection molding temperature and is typically calculated from the volume-mass relationship of the melt in its flowing state. The first ratio is the ratio of bulk density to melt density. For example, for polypropylene, the bulk density is approximately 0.91 g / cm³ and the melt density is approximately 0.75 g / cm³, resulting in a first ratio of approximately 1.21.
[0165] Step 320: Based on the material type of the injection molding material, call the expansion rate influence coefficient mapping table.
[0166] Specifically, material types can include common thermoplastics such as polypropylene (PP), polystyrene (PS), polyvinyl chloride (PVC), polycarbonate (PC), polyoxymethylene (POM), and polyamide (PA). Different materials vary significantly in their molecular structure, thermal conductivity, and melt stability in the molten state, resulting in significant differences in their volume expansion behavior. For example, PP has a high volume expansion rate, while POM's volume change is relatively small.
[0167] Optionally, the expansion rate influence coefficient mapping table is obtained by pre-determining the corresponding expansion rate influence coefficients of different types of injection molding materials at different processing temperatures through experiments, and then sorting them out, and recording and saving them in the form of a two-dimensional matrix or hash table structure, such as an expansion rate influence coefficient mapping table shown in Table 1.
[0168] Table 1 Example of expansion rate influence coefficient mapping
[0169]
[0170] As shown in Table 1, the expansion coefficient mapping table is a two-dimensional matrix, where columns represent material type and rows represent processing temperature. The value at the intersection of the rows and columns is the expansion coefficient. Furthermore, a "-" in Table 1 indicates that the material is not typically processed at that temperature.
[0171] Step 330 : Based on the melt temperature of the injection molding material during injection molding, query the expansion rate influence coefficient from the expansion rate influence coefficient mapping table; the expansion rate influence coefficient mapping table records the expansion rate influence coefficient corresponding to each melt temperature.
[0172] Specifically, the melt temperature of an injection molding material refers to the actual processing temperature of the material during the injection molding process, typically the median of its melting range or the process setpoint. For example, for polypropylene, the typical melt temperature range is 200°C to 240°C. After obtaining this temperature, it can be entered as a query keyword into the expansion coefficient mapping table to retrieve the corresponding expansion coefficient at that temperature. Each temperature point in the expansion coefficient mapping table is typically calibrated using experimental data, recording the volumetric expansion behavior of different material types at different melt temperatures.
[0173] For example, the expansion coefficient of a certain polycarbonate material at a melt temperature of 280°C is 1.08, but increases to 1.15 at 300°C. Through exact matching or interpolation queries, the expansion coefficient of the injection molding material at the current processing temperature can be obtained, which can be used to correct the subsequent volume expansion rate calculation.
[0174] Step 340: Determine the volume expansion rate of the injection molding material based on the first ratio and the expansion rate influence coefficient.
[0175] Specifically, the volume expansion rate can be calculated by multiplying the first ratio by the expansion rate influence coefficient, thereby comprehensively reflecting the total volume change caused by density changes and thermal expansion effects during the material's transition from a solid state to a molten state. For example, if the first ratio of a polypropylene material is 1.20 and the expansion rate influence coefficient is 1.05, the volume expansion rate is 1.26. This value directly factors into the subsequent calculation of the injection molding screw stroke correction, ensuring that the determined process parameters more closely reflect the material's behavior under actual injection molding conditions, thereby improving the accuracy and applicability of the initial process parameter model.
[0176] The initial process parameter determination method provided by the present invention accurately determines the volume expansion rate of the injection molding material based on multiple dimensional factors such as the first ratio between the solid density and melt density of the injection molding material, the material type, and the melt temperature. This expansion rate serves as an important basis for dynamically correcting the initial generation model of the injection molding screw stroke. It can not only more realistically reflect the expansion behavior of the material in the actual injection molding environment, but also reduce the errors caused by traditional empirical estimation methods, thereby improving the scientificity and reliability of the injection molding process initialization process and the success rate of the product one-time mold trial.
[0177] Figure 4 Schematic diagram of the flow of the method for determining the anti-return ring coefficient of the injection molding machine provided by the present invention, as shown in FIG. Figure 4 As shown, in another embodiment of the present invention, further optimization of the method for determining the initial process parameters is provided. In this embodiment, the injection molding machine check ring coefficient is determined based on the following steps:
[0178] Step 410 : Perform multiple filling stage tests on the injection molding machine, obtain test injection molded parts obtained from each filling stage test, and determine the quality of each test injection molded part.
[0179] Specifically, the filling phase test refers to the process of filling the mold cavity using only the injection phase, with the holding phase closed, and without enabling shrinkage and holding pressure, so that the molding results only reflect the effect of the check ring on the feeding stability. During the test, multi-mold injection molding is performed continuously, for example, 10 molds are injected continuously. By measuring the actual mass of the molded parts in each mold and recording the weight value of each mold, the quality data of the test injection molded parts including the gate and runner are obtained. For example, if a certain model is set to a standard process and 10 molds are injected continuously, the masses of the injection molded parts obtained are 35.58g, 35.07g, 35.72g, 35.47g, 35.09g, 35.46g, 35.62g, 35.61g, 35.49g and 35.12g respectively.
[0180] Step 420 : Obtain the maximum mass, minimum mass, and average mass of all the test injection molded parts.
[0181] Specifically, based on the mass data of each molded part obtained in step 410, the maximum, minimum, and average values of all samples are calculated for subsequent calculation of the check ring coefficient. The maximum mass represents the mold with the highest mass among the molded parts obtained during the test, the minimum mass represents the mold with the lowest mass, and the average mass is the arithmetic mean of all sample masses. This step can be automatically performed using an electronic balance in conjunction with a data acquisition system to ensure data accuracy and stability. For example, for the 10-mold injection molded part described above, the maximum mass is 35.72g, the minimum mass is 35.07g, and the average mass is 35.423g.
[0182] Step 430 : Determine a mass difference between the maximum mass and the minimum mass, and determine a second ratio between the mass difference and the average mass.
[0183] Specifically, the mass difference is the value obtained by subtracting the minimum mass from the maximum mass in the test injection molded part. This value reflects the degree of inconsistency in injection molding feeding caused by the backflow of the check ring under the conditions of no pressure holding and no shrinkage compensation. The larger the mass difference, the more serious the backflow of the check ring and the greater the feeding fluctuation. The second ratio is to divide the mass difference by the average mass to standardize the fluctuation range so that it is comparable for different products and different weight ranges. For example, if the maximum mass is 35.72g, the minimum mass is 35.07g, and the average mass is 35.423g, then the mass difference is 35.72-35.07=0.65g; the corresponding second ratio is 0.65 / 35.423=0.01835, that is, the degree of feeding fluctuation caused by the check ring is about 1.835%.
[0184] Step 440: Determine the injection molding machine check ring coefficient based on the second ratio.
[0185] Specifically, the injection molding machine's check ring coefficient is a correction factor used to characterize the check ring's sealing performance and backflow control effectiveness during the injection molding process. This coefficient maps the second ratio to the check ring coefficient value based on a preset empirical formula or regression model, effectively compensating for screw stroke during initial process parameter calculations. Generally, a larger second ratio indicates more significant backflow from the check ring, and the corresponding check ring coefficient should be higher to reflect the degree of screw loss during the feeding process.
[0186] Alternatively, the following calculation method can be used to determine the injection molding machine check ring coefficient R : R =1+second ratio; if the second ratio is 0.01835, then the injection molding machine check ring coefficient is: R =1+0.01835=1.01835.
[0187] The method for determining the initial process parameters provided by the present invention can accurately determine the non-return ring coefficient of the injection molding machine by dynamically testing and quantitatively analyzing the actual feeding stability of the non-return ring of the injection molding machine during the filling stage. This not only avoids problems such as insufficient feeding and unstable product weight caused by equipment wear or aging, but also improves the accuracy and robustness of the initial process parameter setting.
[0188] In another embodiment provided by the present invention, in the injection molding screw stroke generation model, the influence of the injection molding screw padding thickness on the injection molding screw stroke is characterized by a padding thickness influence coefficient;
[0189] The pad thickness influence factor is determined based on the following steps:
[0190] Determining the thickness of the injection screw pad during the injection molding process of the target injection molded product;
[0191] The padding thickness influence coefficient is retrieved from a padding thickness influence coefficient mapping table based on the injection screw padding thickness; the padding thickness influence coefficient mapping table records the padding thickness influence coefficient corresponding to each injection screw padding thickness.
[0192] Specifically, the thickness of the injection screw padding refers to the remaining travel of the screw after injection, preventing backflow of the molten plastic and ensuring stable material feeding. Excessive padding can cause the molten plastic to remain in the barrel for an extended period, leading to decomposition, yellowing, and carbonization. Too little padding can lead to nozzle impact and equipment wear due to insufficient screw travel. Therefore, the appropriate padding thickness should be determined based on the tonnage of the injection molding machine.
[0193] For example, when the tonnage of the injection molding machine is less than 100 tons, the recommended padding thickness is 5 mm; between 100 and 300 tons, the padding thickness is 10 mm; 300 to 600 tons corresponds to 15 mm; 600 to 1000 tons is 20 mm; and greater than 1000 tons is 30 mm.
[0194] Alternatively, by obtaining the equipment tonnage and combining it with the recommended padding values, the corresponding coefficient can be found in the padding thickness influence coefficient mapping table to correct the theoretical injection screw stroke. For example, the recommended padding thickness for a 600-ton injection molding machine is 20 mm, and the corresponding padding thickness influence coefficient is 0.92.
[0195] Figure 5 Schematic diagram of the structure of the process parameter determination device provided by the present invention, such as Figure 5 As shown, mainly including but not limited to:
[0196] The process parameter determination unit 510 is used to determine all target initial molding process parameters, which are related to the quality of the target injection molded product and cover the initial molding process parameters of different injection sections in each injection stage of the target injection molded product;
[0197] A parameter template building unit 520 is configured to build a parameterized template for each target initial molding process parameter according to a generation rule for each target initial molding process parameter;
[0198] A parameter template combining unit 530 is configured to construct an initial molding process parameter template set using the parameterized template group of all the target initial molding process parameters according to the injection molding process of the target injection molding product;
[0199] The process parameter generating unit 540 is configured to determine all initial molding process parameter values for each injection segment in each injection stage of the target injection molded product using the initial molding process parameter template set.
[0200] It should be noted that the process parameter determination device of the present invention is used to implement the initial process parameter determination method provided by any of the above embodiments when executed, and will not be described in detail here.
[0201] The process parameter determination device provided by the present invention constructs parameterized templates and template sets through the generation rules of initial process parameters and the injection molding process, and systematically generates the initial process parameter values of the injection molded product at each injection molding stage. It can improve the accuracy of the initial process parameter setting of the molding, thereby improving the trial mold efficiency, reducing time and material costs, and ensuring the consistency of the parameter setting.
[0202] Figure 6 Schematic diagram of the structure of the electronic device provided by the present invention, such as Figure 6 As shown, the electronic device may include: a processor 610, a communications interface 620, a memory 630, and a communications bus 640, wherein the processor 610, the communications interface 620, and the memory 630 communicate with each other via the communications bus 640. The processor 610 may call logic instructions in the memory 630 to execute an initial process parameter determination method, which includes: determining all target initial molding process parameters, the target initial molding process parameters being related to the quality of a target injection molded product and covering the initial molding process parameters of different injection segments in each injection molding stage of the target injection molded product; establishing a parameterized template for each target initial molding process parameter based on a generation rule for each target initial molding process parameter; constructing a set of initial molding process parameter templates using the parameterized templates for all target initial molding process parameters based on the injection molding process of the target injection molded product; and determining all values of the initial molding process parameters for each injection segment in each injection molding stage of the target injection molded product using the set of initial molding process parameter templates.
[0203] Furthermore, the logic instructions in the aforementioned memory 630 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, a mobile hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.
[0204] On the other hand, the present invention also provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium, and the computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute the initial process parameter determination method provided by the above-mentioned embodiments, the method including: determining all target molding initial process parameters, the target molding initial process parameters are related to the quality of the target injection molded product, and cover the molding initial process parameters of different injection segments of each injection molding stage of the target injection molded product; establishing a parameterized template for each target molding initial process parameter according to the generation rule of each target molding initial process parameter; constructing a molding initial process parameter template set using the parameterized templates of all the target molding initial process parameters according to the injection molding process of the target injection molded product; and determining all molding initial process parameter values for each injection segment of each injection molding stage of the target injection molded product using the molding initial process parameter template set.
[0205] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the initial process parameter determination method provided in the above-mentioned embodiments, the method comprising: determining all target molding initial process parameters, the target molding initial process parameters being related to the quality of the target injection molded product and covering the molding initial process parameters of different injection segments of each injection molding stage of the target injection molded product; establishing a parameterized template for each target molding initial process parameter according to the generation rule of each target molding initial process parameter; constructing a molding initial process parameter template set using the parameterized templates of all the target molding initial process parameters according to the injection molding process of the target injection molded product; and determining all molding initial process parameter values for each injection segment of each injection molding stage of the target injection molded product using the molding initial process parameter template set.
[0206] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one location or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.
[0207] Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented using software plus a necessary general-purpose hardware platform, or of course, hardware. Based on this understanding, the essence of the above technical solution, or the portion that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, or an optical disk, and includes a number of instructions for causing a computer device (such as a personal computer, server, or network device) to execute the methods described in each embodiment or certain portions of the embodiments.
[0208] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.
Claims
1. A method for determining initial process parameters, characterized in that: include: Determining all target initial molding process parameters, wherein the target initial molding process parameters are related to the quality of the target injection molded product and cover the initial molding process parameters of different injection sections in each injection molding stage of the target injection molded product; Establishing a parameterized template for each of the target initial molding process parameters according to a generation rule for each of the target initial molding process parameters; According to the injection molding process of the target injection molded product, constructing a molding initial process parameter template set using the parameterized templates of all the target molding initial process parameters; The initial molding process parameter template set is used to determine all initial molding process parameter values for each injection segment of the target injection molded product in each injection molding stage.
2. The method for determining initial process parameters according to claim 1, wherein: After establishing a parameterized template for each target initial molding process parameter according to a generation rule for each target initial molding process parameter, the method further includes: The generation rule of the target initial molding process parameters is modified according to at least one of material properties, injection molding machine equipment properties, and injection molding process requirements related to the target injection molded product.
3. The method for determining initial process parameters according to claim 2, wherein: The target initial molding process parameters include the injection end position in the injection parameters, and the injection end position is determined based on the VP switching position and the injection screw stroke; The modifying of the generation rule of the target initial molding process parameters includes: Obtain an initial generative model of the injection screw stroke; Based on at least one of a volume expansion rate of the injection molding material, a check ring coefficient of the injection molding machine, and a thickness of a gasket of the injection molding screw, the initial generation model of the injection molding screw stroke is modified to obtain an injection molding screw stroke generation model; The injection molding machine check ring coefficient is used to characterize the wear state of the injection molding machine check ring.
4. The method for determining initial process parameters according to claim 3, wherein: The initial generation model of the injection molding screw stroke is modified based on at least one of a volume expansion rate of the injection molding material, a non-return ring coefficient of the injection molding machine, and a thickness of a gasket of the injection molding screw to obtain the injection molding screw stroke generation model, including: Obtaining the volume expansion rate of the injection molding material, the anti-return ring coefficient of the injection molding machine, and the thickness of the injection molding screw gasket; The injection screw stroke generated by the initial generation model is combined with the volume expansion rate and the injection molding machine check ring coefficient, and combined with the influence of the injection screw padding thickness on the injection screw stroke to correct the initial generation model and obtain the injection screw stroke generation model.
5. The method for determining initial process parameters according to any one of claims 3 to 4, characterized in that: The volume expansion rate of the injection molding material is determined based on the following steps: determining a first ratio between a bulk density and a melt density of the injection molding material; Based on the material type of the injection molding material, calling the expansion rate influence coefficient mapping table; Based on the melt temperature of the injection molding material during injection molding, the expansion rate influence coefficient is queried from the expansion rate influence coefficient mapping table; the expansion rate influence coefficient mapping table records the expansion rate influence coefficient corresponding to each melt temperature; The volume expansion rate of the injection molding material is determined based on the first ratio and the expansion rate influence coefficient.
6. The method for determining initial process parameters according to any one of claims 3 to 4, characterized in that: The injection molding machine check ring coefficient is determined based on the following steps: Performing a plurality of filling stage tests on an injection molding machine, obtaining a test injection molded part obtained from each filling stage test, and determining the mass of each test injection molded part; Obtain the maximum mass, minimum mass and average mass of all test injection molded parts; determining a mass difference between the maximum mass and the minimum mass, and determining a second ratio between the mass difference and the average mass; The injection molding machine check ring coefficient is determined based on the second ratio.
7. The method for determining initial process parameters according to any one of claims 3 to 4, characterized in that: In the injection molding screw stroke generation model, the influence of the injection molding screw padding thickness on the injection molding screw stroke is characterized by the padding thickness influence coefficient; The pad thickness influence factor is determined based on the following steps: Determining the thickness of the injection screw pad during the injection molding process of the target injection molded product; Based on the thickness of the injection screw gasket, a gasket thickness influence coefficient is retrieved from a gasket thickness influence coefficient mapping table; The padding thickness influence coefficient mapping table records the padding thickness influence coefficient corresponding to the padding thickness of each injection screw.
8. A process parameter determination device, characterized in that: include: a process parameter determination unit, configured to determine all target initial molding process parameters, wherein the target initial molding process parameters are related to the quality of the target injection molded product and cover the initial molding process parameters of different injection sections in each injection molding stage of the target injection molded product; A parameter template building unit, configured to build a parameterized template for each target initial molding process parameter according to a generation rule for each target initial molding process parameter; A parameter template combination unit, configured to construct a molding initial process parameter template set using the parameterized templates of all the target molding initial process parameters according to the injection molding process of the target injection molded product; The process parameter generating unit is used to determine all the initial process parameter values of each injection segment in each injection stage of the target injection molded product by using the initial process parameter template set.
9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the method for determining the initial process parameters according to any one of claims 1 to 7 is implemented.
10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for determining initial process parameters according to any one of claims 1 to 7 is implemented.
11. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the method for determining initial process parameters according to any one of claims 1 to 7 is implemented.
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