Automatic injection molding control method and system for toothbrush production

Abstract

The invention relates to an automatic injection molding control method and system for toothbrush production, and the method comprises the steps: obtaining a toothbrush injection mold, analyzing the injection molding track of the toothbrush injection mold, and carrying out the injection molding key point positioning of the injection molding track to obtain the stepped injection molding track of the toothbrush injection mold; obtaining the melt flow velocity of the injection molding material, analyzing the injection molding influence of the melt flow velocity on the stepped injection molding track, adjusting the injection molding speed of each injection molding stage according to the analysis result to obtain stepped injection molding speed data, and analyzing the injection molding speed change relationship between adjacent cavities according to the stepped injection molding speed and the corresponding injection mold cavity. And a production control model of the toothbrush injection mold is constructed, the injection glue spraying speed and the injection glue spraying pressure of the mold are obtained, the injection glue spraying speed and the injection glue spraying pressure are input into the production control model for injection speed analysis, and complete injection control data of the toothbrush injection mold are obtained. The injection molding control method has the effect of improving the injection molding control accuracy in the toothbrush production process.

Description

Technical Field

[0001] The present application relates to the technical field of toothbrush production, and in particular to an automated injection molding control method and system for toothbrush production. Background Art

[0002] At present, toothbrushes are one of the indispensable daily necessities in people's daily life and need to be replaced frequently. Therefore, people have put forward higher requirements on the demand for toothbrushes. In the process of producing large quantities of toothbrush products of various models, toothbrush manufacturers have also put forward higher control requirements on the injection molding process of toothbrushes.

[0003] The existing toothbrush injection molding control method usually requires that the manufacturing worker adjusts the injection molding parameters of the production machine according to the toothbrush production drawings and production data, and controls the machine to perform injection molding debugging on the toothbrush mold through the set injection molding parameters, and modifies the corresponding injection molding parameters according to the preliminary injection molding results. However, due to the different injection molding conditions required for different toothbrush models, each time the product is changed, the personnel need to manually adjust the corresponding injection molding parameters, which not only wastes a lot of manpower and material resources but also easily causes injection molding parameter adjustment errors. Therefore, it is necessary to further optimize the injection molding control in the toothbrush production process. Summary of the invention

[0004] In order to improve the accuracy of injection molding control during the toothbrush production process and achieve the purpose of intelligent injection molding production of toothbrushes, the present application provides an automated injection molding control method and system for toothbrush production.

[0005] In the first aspect, the above-mentioned invention objective of the present application is achieved through the following technical solutions:

[0006] An automated injection molding control method for toothbrush production, comprising:

[0007] Acquire a toothbrush injection mold and analyze the injection trajectory of the toothbrush injection mold, locate the injection key points of the injection trajectory, and obtain a step-by-step injection trajectory of the toothbrush injection mold;

[0008] Obtaining the melt flow rate of the injection molding material and analyzing the injection molding effect of the melt flow rate on the step-by-step injection molding trajectory, and adjusting the injection molding speed of each injection molding stage according to the analysis results to obtain step-by-step injection molding speed data;

[0009] According to the step-by-step injection speeds and the corresponding injection mold cavities, analyzing the injection speed variation relationship between adjacent cavities, and constructing a production control model for the toothbrush injection mold according to the injection speed variation relationship;

[0010] The injection molding speed and injection molding pressure of the mold are obtained, and the injection molding speed and injection molding pressure are input into the production control model for injection molding speed analysis to obtain complete injection molding control data of the toothbrush injection mold.

[0011] By adopting the above technical scheme, in the process of injection molding of toothbrushes with different signals, the corresponding injection molding trajectory is obtained by independently analyzing the injection molding mold of each model of toothbrush, and step-by-step injection molding is performed in combination with the positioning of the key points of the injection molding trajectory. This helps to accurately inject each model of toothbrush through the step-by-step injection molding trajectory, analyze the influence of the melt flow rate of injection molding materials of different materials on the injection molding of the step-by-step injection molding trajectory, and make targeted adjustments to the injection molding speed of the corresponding stage to reduce the error influence of the injection molding speed on the injection molding quality. According to the injection molding speed change relationship between the step-by-step injection molding speed and the corresponding injection mold cavity, a production control model for better controlling the production of toothbrush injection molds is constructed. The injection molding spraying speed and the injection molding spraying pressure are comprehensively analyzed through the production control model, thereby further improving the fit between the injection molding speed and the corresponding injection mold cavity, improving the injection molding control accuracy in the toothbrush production process, and achieving the purpose of intelligent injection molding production of toothbrushes.

[0012] In a preferred example, the present application can be further configured as follows: the injection molding speed and injection molding pressure of the mold are obtained, and the injection molding speed and injection molding pressure are input into the production control model to perform injection molding speed analysis, so as to obtain complete injection molding control data of the toothbrush injection mold, specifically including:

[0013] Obtaining the dimensional change between the injection nozzle aperture and the injection runner aperture, and analyzing the injection pressure required for the dimensional change in combination with the melt flow rate, to obtain the injection spraying pressure of the toothbrush injection mold;

[0014] According to the injection spraying pressure and the melt flow rate, the melt spraying speed of the injection nozzle is adjusted to obtain the injection spraying speed of the toothbrush injection mold;

[0015] The injection molding glue spraying pressure and the injection molding glue spraying speed are input into the production control model, and the injection molding speed of each injection molding stage under the influence of the injection molding glue spraying pressure and the injection molding glue spraying speed is analyzed to obtain complete injection molding control data.

[0016] By adopting the above technical scheme, the internal stress caused by the dimensional change of the injection nozzle on the melt is analyzed through the dimensional change between the injection nozzle diameter and the injection runner aperture, so as to further analyze the injection pressure required corresponding to the current dimensional change, which is helpful to accurately control the nozzle injection pressure, and adjust the melt injection speed at the nozzle mouth in combination with the injection molding spray pressure and the melt flow rate, which is helpful to improve the control accuracy of the injection molding spray speed, and jointly analyze the injection speed of each injection molding stage with the injection molding spray pressure and the injection molding spray speed as the influencing factors, so as to obtain complete injection molding control data, which is helpful to improve the adaptability between the injection molding control data and the actual injection molding condition changes, and improve the accuracy of the injection molding control data.

[0017] In a preferred example, the present application can be further configured as follows: the melt flow rate of the injection molding material is obtained and the injection molding effect of the melt flow rate on the step-by-step injection molding trajectory is analyzed, and the injection molding speed of each injection molding stage is adjusted according to the analysis results to obtain the step-by-step injection molding speed data, specifically including:

[0018] Obtaining the melt flow rate and melt solidification rate of the injection molding material, constructing a melt state change curve for analyzing the injection molding melt according to the melt flow rate and the melt solidification state, and analyzing the corresponding melt solidification temperature;

[0019] According to the melt solidification temperature, the influence of the melt flow rate on the single-stage injection speed of each step injection trajectory is analyzed, and the real-time injection speed of each injection stage is adjusted according to the analysis result to obtain step injection speed data.

[0020] In a preferred example, the present application can be further configured as follows: the melt flow rate of the injection molding material is obtained and the injection molding effect of the melt flow rate on the step-by-step injection molding trajectory is analyzed, and the injection molding speed of each injection molding stage is adjusted according to the analysis result to obtain the step-by-step injection molding speed data, and further includes:

[0021] Obtaining changes in cavity sizes of adjacent injection cavities, analyzing melt rheological properties resulting from changes in adjacent step-by-step injection speeds according to the changes in cavity sizes, and obtaining melt rheological property parameters;

[0022] The injection shear stress variation at the intersection of adjacent injection cavities is calculated according to the melt rheological property parameters, and the injection pressure of the next injection cavity is adjusted according to the injection shear stress variation to obtain the intersection injection pressure control data.

[0023] By adopting the above technical scheme, the melt state change curve of the injection melt of the current material is constructed through the melt flow rate and melt solidification rate of the injection molding material, which helps to observe the melt state of each material more intuitively and analyze the corresponding melt solidification temperature, which helps to timely and accurately adjust the melt solidification temperature of each stage, and analyze the influence of the injection solidification temperature on the single-stage injection speed under the current melt flow rate, and further adjust the real-time injection speed of each injection molding stage according to the analysis results, which helps to improve the fit between the step-by-step injection molding speed and the real-time melt state and reduce the mold injection error. Furthermore, through the change of cavity size between adjacent injection molding cavities, the melt rheological properties caused by the change of adjacent step-by-step injection speed are analyzed, which helps to improve the melt state monitoring between adjacent injection molding cavities, and calculate the injection shear stress change at the intersection of adjacent injection molding cavities accordingly, which helps to more accurately adjust the injection pressure of the next injection molding cavity and improve the control accuracy of the intersection injection molding pressure at the intersection of the cavities.

[0024] In a preferred example, the present application can be further configured as follows: the step of obtaining a toothbrush injection mold and analyzing the injection trajectory of the toothbrush injection mold, locating injection key points of the injection trajectory, and obtaining a step-by-step injection trajectory of the toothbrush injection mold specifically includes:

[0025] Obtaining a toothbrush injection mold and analyzing changes in cavity sizes between adjacent cavities of the toothbrush injection mold, and obtaining an injection trajectory of the toothbrush injection mold according to a sequence of changes in cavity sizes;

[0026] The intersections between adjacent cavities with cavity size changes are marked and located, and the injection trajectory is processed in stages according to the marked positioning points to obtain a stepped injection trajectory of the toothbrush injection mold.

[0027] By adopting the above technical scheme, the injection trajectory of the toothbrush injection mold is marked by analyzing the cavity size changes between adjacent cavities of the toothbrush injection mold, and the intersection positions between adjacent cavities with cavity size changes are marked and located, which helps to perform staged processing of the injection trajectory according to the marked positioning points, thereby improving the injection control accuracy of the toothbrush injection mold.

[0028] In the second aspect, the above invention objective of the present application is achieved through the following technical solutions:

[0029] An automated injection molding control system for toothbrush production, comprising:

[0030] A data acquisition module, used to acquire a toothbrush injection mold and analyze an injection trajectory of the toothbrush injection mold, locate injection key points of the injection trajectory, and obtain a step-by-step injection trajectory of the toothbrush injection mold;

[0031] A data analysis module, used to obtain the melt flow rate of the injection material and analyze the injection effect of the melt flow rate on the step-by-step injection trajectory, and adjust the injection speed of each injection stage according to the analysis results to obtain step-by-step injection speed data;

[0032] A model building module, used for analyzing the injection speed variation relationship between adjacent cavities according to the step-by-step injection speeds and the corresponding injection mold cavities, and building a production control model of the toothbrush injection mold according to the injection speed variation relationship;

[0033] The injection molding control module is used to obtain the injection molding spraying speed and injection molding spraying pressure of the mold, input the injection molding spraying speed and the injection molding spraying pressure into the production control model for injection molding speed analysis, and obtain complete injection molding control data of the toothbrush injection mold.

[0034] By adopting the above technical scheme, in the process of injection molding of toothbrushes with different signals, the corresponding injection molding trajectory is obtained by independently analyzing the injection molding mold of each model of toothbrush, and step-by-step injection molding is performed in combination with the positioning of the key points of the injection molding trajectory. This helps to accurately inject each model of toothbrush through the step-by-step injection molding trajectory, analyze the influence of the melt flow rate of injection molding materials of different materials on the injection molding of the step-by-step injection molding trajectory, and make targeted adjustments to the injection molding speed of the corresponding stage to reduce the error influence of the injection molding speed on the injection molding quality. According to the injection molding speed change relationship between the step-by-step injection molding speed and the corresponding injection mold cavity, a production control model for better controlling the production of toothbrush injection molds is constructed. The injection molding spraying speed and the injection molding spraying pressure are comprehensively analyzed through the production control model, thereby further improving the fit between the injection molding speed and the corresponding injection mold cavity, improving the injection molding control accuracy in the toothbrush production process, and achieving the purpose of intelligent injection molding production of toothbrushes.

[0035] On the third aspect, the above-mentioned purpose of the present application is achieved through the following technical solutions:

[0036] A computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the above-mentioned automated injection molding control method for toothbrush production are implemented.

[0037] Fourthly, the above-mentioned purpose of the present application is achieved through the following technical solutions:

[0038] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the above-mentioned automated injection molding control method for toothbrush production.

[0039] In summary, the present application includes at least one of the following beneficial technical effects:

[0040] 1. In the process of injection molding of toothbrushes with different signals, the corresponding injection molding trajectory is obtained by independently analyzing the injection molding mold of each model of toothbrush, and step-by-step injection molding is performed in combination with the positioning of the key points of the injection molding trajectory, which helps to accurately inject each model of toothbrush through the step-by-step injection molding trajectory, and analyze the injection molding effect of the melt flow rate of injection molding materials of different materials on the step-by-step injection molding trajectory, and make targeted adjustments to the injection molding speed of the corresponding stage to reduce the error effect of the injection molding speed on the injection molding quality, and according to the injection molding speed change relationship between the step-by-step injection molding speed and the corresponding injection mold cavity, a production control model for better controlling the production of toothbrush injection molds is constructed, and the injection molding spraying speed and injection molding spraying pressure are comprehensively analyzed through the production control model, so as to further improve the fit between the injection molding speed and the corresponding injection mold cavity, improve the injection molding control accuracy in the toothbrush production process, and achieve the purpose of intelligent injection molding production of toothbrushes;

[0041] 2. Through the dimensional change between the injection nozzle aperture and the injection runner aperture, the internal stress caused by the injection nozzle dimensional change on the melt is analyzed, so as to further analyze the injection pressure required corresponding to the current dimensional change, which is helpful to accurately control the nozzle injection pressure, and adjust the melt injection speed at the nozzle mouth in combination with the injection spraying pressure and the melt flow rate, which is helpful to improve the control accuracy of the injection spraying speed, and the injection speed of each injection stage is jointly analyzed with the injection spraying pressure and the injection spraying speed as the influencing factors, so as to obtain complete injection control data, which is helpful to improve the adaptability between the injection control data and the actual injection condition changes, and improve the accuracy of the injection control data;

[0042] 3. The melt state change curve of the injection molding melt of the current material is constructed through the melt flow rate and melt solidification rate of the injection molding material, which helps to observe the melt state of each material more intuitively and analyze the corresponding melt solidification temperature, which helps to timely and accurately adjust the melt solidification temperature of each stage, and analyze the influence of the injection solidification temperature on the single-stage injection molding speed under the current melt flow rate, and further adjust the real-time injection molding speed of each injection molding stage according to the analysis results, which helps to improve the fit between the step-by-step injection molding speed and the real-time melt state and reduce the mold injection molding error. Furthermore, through the change of the cavity size between adjacent injection molding cavities, the melt rheological properties caused by the change of adjacent step-by-step injection molding speed are analyzed, which helps to improve the melt state monitoring between adjacent injection molding cavities, and calculate the injection shear stress change at the intersection of adjacent injection molding cavities accordingly, which helps to more accurately adjust the injection pressure of the next injection molding cavity and improve the control accuracy of the intersection injection molding pressure at the intersection of the cavities. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1This is a flow chart of an implementation of an automated injection molding control method for toothbrush production in this embodiment.

[0044] Figure 2 This is a flow chart for implementing step S10 of an automated injection molding control method for toothbrush production in this embodiment.

[0045] Figure 3 This is a flow chart for implementing step S20 of an automated injection molding control method for toothbrush production in this embodiment.

[0046] Figure 4 It is a flow chart for realizing injection molding control of the cavity junction position by the automated injection molding control method of this embodiment.

[0047] Figure 5 This is a flow chart for implementing step S40 of an automated injection molding control method for toothbrush production in this embodiment.

[0048] Figure 6 This is a structural block diagram of an automated injection molding control system for toothbrush production according to this embodiment.

[0049] Figure 7 Schematic diagram of the internal structure of a computer device used to implement the automated injection molding control method of this embodiment. DETAILED DESCRIPTION

[0050] The present application is further described in detail below in conjunction with the accompanying drawings.

[0051] In one embodiment, if Figure 1 As shown, the present application discloses an automated injection molding control method for toothbrush production, which specifically includes the following steps:

[0052] S10: Obtain a toothbrush injection mold and analyze the injection trajectory of the toothbrush injection mold, locate the injection key points of the injection trajectory, and obtain a step-by-step injection trajectory of the toothbrush injection mold.

[0053] Specifically, Figure 2 As shown, step S10 includes:

[0054] S101: Obtain a toothbrush injection mold and analyze changes in cavity sizes between adjacent cavities of the toothbrush injection mold, and obtain an injection trajectory of the toothbrush injection mold according to a sequence of cavity size changes.

[0055] Specifically, the specific mold parameters of the toothbrush injection mold are obtained by scanning the toothbrush drawing, the cavity size change is calculated according to the cavity size values ​​between adjacent cavities, and the injection trajectory of the toothbrush injection mold is obtained according to the cavity size change sequence, such as from the toothbrush head to the toothbrush tail.

[0056] S102: marking and locating the intersection positions of the cavity sizes between adjacent cavities, and performing step-by-step processing on the injection trajectory according to the marked positioning points to obtain a step-by-step injection trajectory of the toothbrush injection mold.

[0057] Specifically, the intersection positions of the cavity sizes between adjacent cavities are marked and located, such as the size turning points between adjacent cavities, and the injection trajectory is divided into multiple injection stages according to the marked fixed point positions. The injection cavity size of each injection stage is the same, thereby obtaining a stepped injection trajectory of the toothbrush injection mold.

[0058] S20: Obtaining the melt flow rate of the injection molding material and analyzing the injection molding effect of the melt flow rate on the step-by-step injection molding trajectory, and adjusting the injection molding speed of each injection molding stage according to the analysis results to obtain step-by-step injection molding speed data.

[0059] Specifically, Figure 3 As shown, step S20 includes:

[0060] S201: Obtaining the melt flow rate and melt solidification rate of the injection molding material, constructing a melt state change curve for analyzing the injection molding melt according to the melt flow rate and the melt solidification state, and analyzing the corresponding melt solidification temperature.

[0061] Specifically, the melt obtained after melting injection molding materials of different materials is analyzed according to the different injection molding materials, including the melt flow rate of the melt in an undisturbed state and the melt solidification rate in the toothbrush processing site environment. As the melt changes over time, a melt state change curve is constructed according to the melt flow rate and the melt solidification state, and the temperature when the melt begins to show a solidification state is taken as the melt solidification temperature.

[0062] S202: Analyze the influence of the melt flow rate on the single-stage injection speed of each step-by-step injection trajectory according to the melt solidification temperature, and adjust the real-time injection speed of each injection stage according to the analysis result to obtain step-by-step injection speed data.

[0063] Specifically, since the beginning of solidification of the melt will affect the stagnation of the melt flow and affect the injection molding effect of the toothbrush, the single-stage injection speed of each step-by-step injection trajectory is adjusted according to the solidification speed of the melt, and the injection molding work of the corresponding cavity is accelerated by high-pressure or high-speed injection. For example, the injection speed is compensated according to the solidification rate, and the injection speed is accelerated to adjust the real-time injection speed to obtain the step-by-step injection speed data.

[0064] Specifically, Figure 4 As shown, step S20 also includes:

[0065] S203: Obtaining changes in cavity sizes of adjacent injection cavities, analyzing melt rheological properties resulting from changes in adjacent step-by-step injection speeds according to the changes in cavity sizes, and obtaining melt rheological property parameters.

[0066] Specifically, the cavity size change of adjacent cavities is calculated at the intersection of adjacent injection molding cavities where there is a cavity size change. In this embodiment, according to the injection molding sequence, the cavity size change is obtained by subtracting the previous injection molding cavity size from the next injection molding cavity size. In the process of the melt flowing through adjacent injection molding cavities, the melt rheological properties are analyzed by the difference in adjacent flow rates. If the flow rate decreases, it means that the melt rheological properties are reduced, thereby obtaining the melt rheological property parameters.

[0067] S204: calculating the injection shear stress variation at the intersection of adjacent injection cavities according to the melt rheological property parameters, and adjusting the injection pressure of the next injection cavity according to the injection shear stress variation to obtain the intersection injection pressure control data.

[0068] Specifically, the melt viscosity change corresponding to the melt rheological performance parameters is obtained, and the injection shear stress change value at the intersection of adjacent injection cavities is calculated by formula (1). The injection shear stress change is compensated by increasing or decreasing the injection pressure of the next injection cavity, thereby obtaining the intersection injection pressure control data, wherein formula (1) is as follows:

[0069] ΔΤ=η×Δν (1)

[0070] Wherein, ΔΤ represents the change value of injection shear stress at the intersection of adjacent injection cavities, η represents the melt viscosity coefficient, and Δν represents the change in melt flow rate after flowing through the intersection.

[0071] S30: Analyze the injection speed variation relationship between adjacent cavities according to the stepped injection speeds and the corresponding injection mold cavities, and construct a production control model for the toothbrush injection mold according to the injection speed variation relationship.

[0072] Specifically, according to the stepped injection speed and the corresponding injection mold cavity, the injection speed change between adjacent cavities is calculated, and the correlation between the injection speed change and the cavity size change is analyzed. According to the injection speed change relationship, a production control model of the toothbrush injection model is built.

[0073] S40: Obtain the injection molding glue spraying speed and the injection molding glue spraying pressure of the mold, input the injection molding glue spraying speed and the injection molding glue spraying pressure into the production control model to perform injection molding speed analysis, and obtain complete injection molding control data of the toothbrush injection mold.

[0074] Specifically, Figure 5 As shown, step S40 includes:

[0075] S401: Obtain the dimensional change between the injection nozzle diameter and the injection channel aperture, and analyze the injection pressure required for the dimensional change in combination with the melt flow rate to obtain the injection spraying pressure of the toothbrush injection mold.

[0076] Specifically, according to different injection molding tools, the injection nozzle diameter parameters and the injection runner aperture parameters are obtained, and the size difference between the injection nozzle diameter and the injection runner aperture is calculated. The position where the size change occurs is used as the injection pressure control point, and the injection pressure required for the size change is analyzed in combination with the real-time melt flow rate. For example, the melt flow rate change value is obtained at the injection pressure control point position, and the injection pressure is increased or decreased accordingly according to the melt flow rate change value, so that the melt shear stress in the injection nozzle and the injection runner tends to be the same, and the injection spray pressure control data of the toothbrush injection mold is obtained.

[0077] S402: According to the injection spraying pressure and melt flow rate, the melt spraying speed of the injection nozzle is adjusted to obtain the injection spraying speed of the toothbrush injection mold.

[0078] Specifically, according to the injection spray pressure and melt flow rate, the melt spraying speed of the injection nozzle mouth is analyzed, and combined with the step-by-step injection speed required for injection molding in the current injection stage of the mold, the melt spraying speed of the nozzle mouth is adjusted so that the spraying speed of the actual injected melt when reaching the mold meets the injection molding requirements, thereby obtaining the injection spraying speed of the toothbrush injection mold.

[0079] S403: Input the injection molding glue spraying pressure and the injection molding glue spraying speed into the production control model, analyze the injection molding speed of each injection molding stage under the influence of the injection molding glue spraying pressure and the injection molding glue spraying speed, and obtain complete injection molding control data.

[0080] Specifically, the injection molding spraying pressure and the injection molding spraying speed are input into the production control model. The injection molding spraying pressure and the injection molding spraying speed are used as influencing factors to analyze the actual injection molding speed of each injection molding stage, and then the injection speed of the nozzle mouth is adjusted to obtain complete injection molding control data.

[0081] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0082] In one embodiment, an automated injection molding control system for toothbrush production is provided, and the automated injection molding control system for toothbrush production corresponds one-to-one to the automated injection molding control method for toothbrush production in the above embodiment. Figure 6 As shown, the automatic injection molding control system for toothbrush production includes a data acquisition module, a data analysis module, a model building module and an injection molding control module. The detailed description of each functional module is as follows:

[0083] The data acquisition module is used to acquire the toothbrush injection mold and analyze the injection trajectory of the toothbrush injection mold, locate the injection key points of the injection trajectory, and obtain the step-by-step injection trajectory of the toothbrush injection mold.

[0084] The data analysis module is used to obtain the melt flow rate of the injection material and analyze the injection effect of the melt flow rate on the step-by-step injection trajectory, and adjust the injection speed of each injection stage according to the analysis results to obtain the step-by-step injection speed data.

[0085] The model building module is used to analyze the injection speed variation relationship between adjacent cavities according to the stepped injection speed and the corresponding injection mold cavity, and to build a production control model of the toothbrush injection mold according to the injection speed variation relationship.

[0086] The injection molding control module is used to obtain the injection molding spraying speed and injection molding spraying pressure of the mold, and input the injection molding spraying speed and injection molding spraying pressure into the production control model for injection molding speed analysis to obtain complete injection molding control data of the toothbrush injection mold.

[0087] Preferably, the injection molding control module specifically includes:

[0088] The pressure regulating submodule is used to obtain the dimensional change between the injection nozzle aperture and the injection runner aperture, and analyze the injection pressure required for the dimensional change in combination with the melt flow rate to obtain the injection spraying pressure of the toothbrush injection mold.

[0089] The speed regulating submodule is used to adjust the melt spraying speed of the injection nozzle according to the injection spraying pressure and the melt flow rate to obtain the injection spraying speed of the toothbrush injection mold.

[0090] The injection molding control submodule is used to input the injection molding spraying pressure and the injection molding spraying speed into the production control model, analyze the injection molding speed of each injection molding stage under the influence of the injection molding spraying pressure and the injection molding spraying speed, and obtain complete injection molding control data.

[0091] Preferably, the data analysis module specifically includes:

[0092] The melt analysis submodule is used to obtain the melt flow rate and melt solidification rate of the injection molding material, construct a melt state change curve for analyzing the injection molding melt according to the melt flow rate and melt solidification state, and analyze the corresponding melt solidification temperature.

[0093] The step-by-step adjustment submodule is used to analyze the influence of the melt flow rate on the single-step injection speed of each step-by-step injection trajectory according to the melt solidification temperature, and adjust the real-time injection speed of each injection stage according to the analysis results to obtain the step-by-step injection speed data.

[0094] Preferably, the data analysis module also includes:

[0095] The performance analysis submodule is used to obtain the cavity size changes of adjacent injection cavities, analyze the melt rheological properties generated by the adjacent step-by-step injection speed changes according to the cavity size changes, and obtain the melt rheological performance parameters.

[0096] The handover control submodule is used to calculate the injection shear stress change at the handover position of adjacent injection cavities according to the melt rheological performance parameters, and adjust the injection pressure of the next injection cavity according to the injection shear stress change to obtain the handover injection pressure control data.

[0097] Preferably, the data acquisition module specifically includes:

[0098] The trajectory analysis submodule is used to obtain the toothbrush injection mold and analyze the cavity size changes between adjacent cavities of the toothbrush injection mold, and obtain the injection trajectory of the toothbrush injection mold according to the cavity size change sequence.

[0099] The trajectory step-by-step submodule is used to mark and locate the intersection positions of the cavity sizes between adjacent cavities, and to perform step-by-step processing on the injection trajectory according to the marked positioning points to obtain a step-by-step injection trajectory for the toothbrush injection mold.

[0100] For the specific definition of the automated injection molding control system for toothbrush production, please refer to the definition of the automated injection molding control method for toothbrush production mentioned above, which will not be repeated here. Each module in the above-mentioned automated injection molding control system for toothbrush production can be implemented in whole or in part through software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0101] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 7 As shown. The computer device includes a processor, a memory, a network interface and a database connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store injection molding control data in the toothbrush production process. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, an automated injection molding control method for toothbrush production is implemented.

[0102] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of an automated injection molding control method for toothbrush production are implemented.

[0103] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0104] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0105] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. An automated injection molding control method for toothbrush production, characterized in that: include: Acquire a toothbrush injection mold and analyze the injection trajectory of the toothbrush injection mold, locate the injection key points of the injection trajectory, and obtain a step-by-step injection trajectory of the toothbrush injection mold; Obtaining the melt flow rate of the injection molding material and analyzing the injection molding effect of the melt flow rate on the step-by-step injection molding trajectory, and adjusting the injection molding speed of each injection molding stage according to the analysis results to obtain step-by-step injection molding speed data; According to the step-by-step injection speeds and the corresponding injection mold cavities, analyzing the injection speed variation relationship between adjacent cavities, and constructing a production control model for the toothbrush injection mold according to the injection speed variation relationship; The injection molding speed and injection molding pressure of the mold are obtained, and the injection molding speed and injection molding pressure are input into the production control model for injection molding speed analysis to obtain complete injection molding control data of the toothbrush injection mold.

2. The automated injection molding control method for toothbrush production according to claim 1, characterized in that: The obtaining of the injection molding glue spraying speed and the injection molding glue spraying pressure of the mold, inputting the injection molding glue spraying speed and the injection molding glue spraying pressure into the production control model for injection molding speed analysis, and obtaining complete injection molding control data of the toothbrush injection mold specifically includes: Obtaining the dimensional change between the injection nozzle aperture and the injection runner aperture, and analyzing the injection pressure required for the dimensional change in combination with the melt flow rate, to obtain the injection spraying pressure of the toothbrush injection mold; According to the injection spraying pressure and the melt flow rate, the melt spraying speed of the injection nozzle is adjusted to obtain the injection spraying speed of the toothbrush injection mold; The injection molding glue spraying pressure and the injection molding glue spraying speed are input into the production control model, and the injection molding speed of each injection molding stage under the influence of the injection molding glue spraying pressure and the injection molding glue spraying speed is analyzed to obtain complete injection molding control data.

3. The automated injection molding control method for toothbrush production according to claim 1, characterized in that: The step of obtaining the melt flow rate of the injection molding material and analyzing the injection molding effect of the melt flow rate on the step-by-step injection molding trajectory, and adjusting the injection molding speed of each injection molding stage according to the analysis results to obtain the step-by-step injection molding speed data, specifically includes: Obtaining the melt flow rate and melt solidification rate of the injection molding material, constructing a melt state change curve for analyzing the injection molding melt according to the melt flow rate and the melt solidification state, and analyzing the corresponding melt solidification temperature; According to the melt solidification temperature, the influence of the melt flow rate on the single-stage injection speed of each step injection trajectory is analyzed, and the real-time injection speed of each injection stage is adjusted according to the analysis result to obtain step injection speed data.

4. The automated injection molding control method for toothbrush production according to claim 3, characterized in that: The method of obtaining the melt flow rate of the injection molding material and analyzing the injection molding effect of the melt flow rate on the step-by-step injection molding trajectory, and adjusting the injection molding speed of each injection molding stage according to the analysis results to obtain the step-by-step injection molding speed data, further includes: Obtaining changes in cavity sizes of adjacent injection cavities, analyzing melt rheological properties resulting from changes in adjacent step-by-step injection speeds according to the changes in cavity sizes, and obtaining melt rheological property parameters; The injection shear stress variation at the intersection of adjacent injection cavities is calculated according to the melt rheological property parameters, and the injection pressure of the next injection cavity is adjusted according to the injection shear stress variation to obtain the intersection injection pressure control data.

5. The automated injection molding control method for toothbrush production according to claim 1, characterized in that: The step of obtaining a toothbrush injection mold and analyzing an injection trajectory of the toothbrush injection mold, positioning injection key points of the injection trajectory, and obtaining a step-by-step injection trajectory of the toothbrush injection mold specifically includes: Obtaining a toothbrush injection mold and analyzing changes in cavity sizes between adjacent cavities of the toothbrush injection mold, and obtaining an injection trajectory of the toothbrush injection mold according to a sequence of changes in cavity sizes; The intersection positions of the cavity sizes between adjacent cavities are marked and located, and the injection trajectory is processed in stages according to the marked positioning points to obtain a stepped injection trajectory of the toothbrush injection mold.

6. An automated injection molding control system for toothbrush production, characterized in that: include: A data acquisition module, used to acquire a toothbrush injection mold and analyze an injection trajectory of the toothbrush injection mold, locate injection key points of the injection trajectory, and obtain a step-by-step injection trajectory of the toothbrush injection mold; A data analysis module, used to obtain the melt flow rate of the injection material and analyze the injection effect of the melt flow rate on the step-by-step injection trajectory, and adjust the injection speed of each injection stage according to the analysis results to obtain step-by-step injection speed data; A model building module, used for analyzing the injection speed variation relationship between adjacent cavities according to the step-by-step injection speeds and the corresponding injection mold cavities, and building a production control model of the toothbrush injection mold according to the injection speed variation relationship; The injection molding control module is used to obtain the injection molding spraying speed and injection molding spraying pressure of the mold, input the injection molding spraying speed and the injection molding spraying pressure into the production control model for injection molding speed analysis, and obtain complete injection molding control data of the toothbrush injection mold.

7. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the automated injection molding control method for toothbrush production as described in any one of claims 1 to 5 are implemented.

8. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the automated injection molding control method for toothbrush production as claimed in any one of claims 1 to 5 are implemented.

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