Multi-dimensional electric melt glue control method of injection molding machine

Abstract

The invention relates to the technical field of injection molding machines, in particular to a multi-dimensional electric melt glue control method for an injection molding machine, which comprises the following steps of: importing three-dimensional model data of a material pipe group of the injection molding machine and physical data of used plastic raw materials into a control system of the injection molding machine; according to the three-dimensional model data and the physical data, a recommended screw rotating speed and a recommended screw torque set value are calculated and generated through an intelligent algorithm, the injection molding machine transmits the screw rotating speed and the recommended screw torque set value to a driver, and the actual rotating speed and actual current of the screw during glue melting are monitored in real time; according to the method, the actual value of the injection molding machine is monitored, the screw rotating speed or the screw torque is optimized according to the monitored actual value, when the injection molding machine performs automatic production, the injection molding machine control system continuously monitors the glue injection end point position and the glue melting end position of the injection molding machine, the multi-dimensional electric glue melting control method is adopted to reasonably adjust the screw rotating speed, the glue melting process can be effectively controlled, and the production efficiency is improved. And the injection molding quality and efficiency are improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of injection molding machines, and in particular relates to a multi-dimensional electric melt adhesive control method for an injection molding machine. Background Art

[0002] The electric glue melting control method is usually derived from the conversion of the hydraulic injection table, which involves the coordinated use of the glue melting motor and the glue injection motor. During the glue melting process, the glue melting motor drives the screw to rotate at a set speed, and the glue becomes molten glue under the shear heat of the screw ribs and the radiant heat of the heating cylinder.

[0003] When melting begins, the injection motor provides torque to the injection screw to provide a certain resistance (back pressure) to retreat, preventing the screw from retreating too quickly and causing uneven density of the molten rubber. The melting motor follows the speed loop, and the injection motor follows the speed loop. When reaching the specified position, the injection motor stops moving, and the melting motor also stops moving. The melting motor and the injection motor are controlled by two servos respectively, and the two stop at different times, which may cause the pressure of the molten rubber to be greater or less than the set value when stopping.

[0004] However, since the rotation speed of the molten glue and the melting pressure of the glue are controlled by the molten glue motor and the injection molding motor respectively, the inconsistent stop time of the two may cause the density of the molten glue to change and the weight of the molten glue to deviate, thereby reducing the control precision of the injection molding machine. Therefore, we need to propose a multi-dimensional electric melt glue control method for injection molding machines to solve the above-mentioned problems, so that it can improve the control precision of the injection molding machine. Summary of the invention

[0005] In view of the above problems, the present invention provides a multi-dimensional electric melt adhesive control method for an injection molding machine, comprising the following steps: S1. Importing the three-dimensional model data of the injection molding machine material pipe group into the injection molding machine control system; S2. Importing the physical data of the plastic raw materials used into the injection molding machine control system; S3, generating recommended screw speed and screw torque setting values ​​through intelligent algorithm calculation based on the three-dimensional model data and physical data; S4, the injection molding machine transmits the screw speed and screw torque setting values ​​to the driver, monitors the actual screw speed and actual current during melting in real time, and optimizes the screw speed or screw torque according to the monitored actual values; S5. When the injection molding machine is in automatic production, the injection molding machine control system continuously monitors the injection end position and melt end position of the injection molding machine; S51, if it is detected that the injection end position exceeds the preset range, the melt end position of the next mold is automatically adjusted to correct the deviation and maintain product quality; S52. If the current of the glue melting motor exceeds the normal range, the glue melting speed will be adjusted immediately and the torque will be increased. At the same time, the current conditions of the next ten modules will be monitored. If the currents of ten consecutive modules are all beyond the normal range, an abnormal shutdown alarm will be triggered to prevent equipment damage or production accidents. If the currents of ten consecutive modules are partially beyond the normal range, the glue melting speed and the increased glue melting torque will be automatically adjusted according to the excess current.

[0006] Furthermore, in step S1, the injection molding machine material pipe group includes a pipe body and a screw rotatably installed inside the pipe body, a servo motor is installed at one end of the screw, and the servo motor is installed on the outer wall of one end of the pipe body, a teardrop-shaped extrusion block is inserted at the other end of the screw, and a positioning mechanism for locking the installation position of the extrusion block is provided at the other end of the screw, a feed hopper is connected to the side wall of one end of the pipe body, a feed valve for controlling the feed speed is provided at the discharge port of the feed hopper, a discharge head is threadedly connected to the other end of the pipe body, the extrusion block is located inside the discharge head, and a heating coil is provided inside the side wall of the pipe body.

[0007] Furthermore, the other end of the screw is provided with a mounting groove for installing a positioning mechanism, one end of the extrusion block is provided with a slot for inserting the screw, and one end of the slot is connected to a limiting cavity for one end of the positioning mechanism to enter.

[0008] Furthermore, the positioning mechanism includes a support plate fixed in the mounting groove, connecting plates are provided on both sides of the support plate, one side of the connecting plate is fixed to one side of the support plate by two supporting springs, and the other side of the connecting plate is provided with a T-shaped pressing rod, the pressing rod is slidably inserted in the side wall of the mounting groove, and the side wall of the screw rod is provided with a through hole for one end of the pressing rod to pass through, a limiting block is fixed at one end of the connecting plate, and the connecting plate and the limiting block form an L-shaped structure, and when the screw rod is located in the slot, the limiting block is located inside the limiting cavity.

[0009] Furthermore, when importing the three-dimensional model data of the injection molding machine material tube group, first ensure that the three-dimensional model data format is compatible with the injection molding machine control system, and then use the interface provided by the injection molding machine control system to import the three-dimensional model data into the injection molding machine control system. The injection molding machine control system parses the imported three-dimensional model data, extracts key information and constructs an internal data structure to support subsequent operations, checks whether the imported data is complete and accurate, and meets the modeling requirements of the injection molding machine control system, establishes a three-dimensional model of the injection molding machine material tube group based on the parsed data, and displays it visually, and adjusts and optimizes the parameters in the three-dimensional model according to actual production needs.

[0010] Furthermore, in step S2, the process of importing the physical data of the plastic raw material is as follows: S21, collecting the physical data of the plastic raw materials used, and inputting the data into the injection molding machine control system; S22, automatically verify the input physical data to check the integrity and rationality of the physical data. If an error is found in the input physical data, the injection molding machine control system will remind the operator to correct the data and then enter the automatic verification process. If no error is found in the input physical data, the verification is successful. S23. The physical data that has been successfully verified is saved in the database of the injection molding machine control system for easy access during the production process.

[0011] Furthermore, in step S3, the generation process of the screw speed and screw torque setting values ​​is as follows: S31, collecting physical data of plastic raw materials and relevant parameters of the three-dimensional model, and pre-processing the collected data; S32, establishing a mathematical model based on the processed data to describe the relationship between the screw speed and screw torque during the injection molding process and the physical data of the plastic raw material; S33, using intelligent algorithms to find the optimal screw speed and screw torque setting values; S34, evaluating the effects of the recommended screw speed and screw torque setting values ​​through computer simulation. If the effects are not ideal, the model parameters need to be adjusted and returned to S33. If the effects are ideal, it is determined that the screw speed and screw torque setting values ​​are feasible.

[0012] Furthermore, in step S32, the process of establishing the mathematical model is as follows: B1. Set the target variable as screw speed or screw torque, select the features that have a significant impact on the prediction target, calculate the correlation coefficient between each feature and the target variable, and select the features with a correlation coefficient greater than 0.5 as the key features. The correlation coefficient calculation formula is as follows: , in, and are the characteristic values ​​that have a significant impact on the prediction target, and are the predicted feature values ​​respectively; B2. Establish a training model based on the selected key features. The formula for establishing the training model is as follows: , in, is the model output value, , , …, is the independent variable, , , , …, are the coefficients of the model, is the error term; B3. Use the training set data to train the training model and calculate the loss rate L. The calculation formula of the loss rate L is as follows: , Where m is the total number of samples, is the predicted value of the training model, is the actual value of the training model; B4. Use the test set data to calculate the mean square error M of the trained model. The calculation formula is as follows: , Where n is the total number of samples, is the predicted value of the training model, is the actual value of the training model; B5. Calculate the collinearity index V1 of the training model based on the mean square error M. The calculation formula is as follows: , in, is the average of the actual values, is the predicted value of the training model, is the mean square error of the training model, is the collinearity index value.

[0013] Furthermore, in step S33, the calculation process of the screw speed is as follows: The shear rate allowed for the plastic raw material is (obtained from the plastic raw material manufacturer), the screw speed calculation formula is as follows: , Where h is the thickness of the plastic from the screw surface to the inner surface of the tube body, D is the screw diameter, is the screw speed, in r / min; The calculation process of the screw torque is as follows: Obtain the viscosity N of the plastic raw material (obtained from the plastic raw material manufacturer), first calculate the volume V2 of the screw rotating per minute, and then calculate the torque T of the screw based on the volume V2. The calculation formula is as follows: , ; Among them, K is a constant selected according to the design and material properties of the screw, D is the diameter of the screw, S is the distance between two adjacent screw threads, the unit is meter, V2 is the volume of the screw rotating per minute, the unit is cubic meter / minute, and N is the viscosity of the plastic raw material.

[0014] Furthermore, in step S34, the process of evaluating the effect of the screw speed and screw torque setting values ​​is as follows: C1. Collect data related to screw speed and screw torque, and establish a linear model for describing the relationship between screw speed and screw torque based on the collected data; C2. Use Python software to run the linear model, input different screw speed and screw torque setting values, and observe the simulation results; C3. Compare the production efficiency, energy consumption and product quality indicators under different screw speed and screw torque setting values, and select the optimal screw speed and screw torque setting values ​​according to the analysis results; C4. Apply the selected screw speed and screw torque setting values ​​to actual production and observe whether the actual effect is consistent with the simulation result. If the difference between the actual effect and the simulation result is greater than ±5%, the effect is not ideal. If the difference between the actual effect and the simulation result does not exceed ±5%, the effect is ideal.

[0015] The beneficial effects of the present invention are: The present invention imports the three-dimensional model data of the injection molding machine material tube group and the physical data of the used plastic raw materials into the injection molding machine control system, and then generates recommended screw speed and screw torque setting values ​​through intelligent algorithm calculation based on the three-dimensional model data and the physical data. The injection molding machine transmits the screw speed and screw torque setting values ​​to the driver, monitors the actual speed and actual current of the screw during melting in real time, and optimizes the screw speed or screw torque according to the monitored actual values. When the injection molding machine is in automatic production, the injection molding machine control system continuously monitors the injection end position and the melting end position of the injection molding machine. Due to the influence of the screw speed on the conveying effect of the plastic raw material melt and the influence on the molten physical state of the plastic raw material, a multi-dimensional electric melt glue control method is used to reasonably adjust the screw speed, which can effectively control the melting glue process and improve the quality and efficiency of injection molding.

[0016] The present invention can replace different discharge heads according to the actual extrusion requirements of the extruder through the arrangement of the injection molding machine material pipe group, so that the extruder can be suitable for extrusion operations of different materials.

[0017] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures pointed out in the description, claims and drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces 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 creative work.

[0019] Figure 1 A schematic diagram of a process according to an embodiment of the present invention is shown; Figure 2 A schematic diagram showing a process of importing physical data of plastic raw materials according to an embodiment of the present invention is shown; Figure 3 A schematic diagram of a process for generating screw speed and screw torque setting values ​​according to an embodiment of the present invention is shown; Figure 4 A schematic structural diagram of a material pipe group for an injection molding machine according to an embodiment of the present invention is shown; Figure 5 A schematic cross-sectional structure diagram of a material pipe assembly of an injection molding machine according to an embodiment of the present invention is shown; Figure 6 A schematic structural diagram of a positioning mechanism according to an embodiment of the present invention is shown.

[0020] In the figure: 1. tube body; 2. feed hopper; 3. servo motor; 4. feed valve; 5. screw; 6. positioning mechanism; 61. pressing rod; 62. limit block; 63. support plate; 64. support spring; 65. connecting plate; 7. extrusion block; 71. limit cavity; 8. discharge head. DETAILED DESCRIPTION

[0021] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] The embodiment of the present invention provides a multi-dimensional electric melt adhesive control method for an injection molding machine, such as Figure 1-6 As shown, the following steps are included: S1. Importing the three-dimensional model data of the injection molding machine material pipe group into the injection molding machine control system; like Figure 4-6As shown, the injection molding machine material pipe group includes a pipe body 1 and a screw 5 rotatably installed inside the pipe body 1, a servo motor 3 is installed at one end of the screw 5, and the servo motor 3 is installed on the outer wall of one end of the pipe body 1, and a water drop-shaped extrusion block 7 is inserted at the other end of the screw 5, and a positioning mechanism 6 for locking the installation position of the extrusion block 7 is provided at the other end of the screw 5, a feed hopper 2 is connected to the side wall of one end of the pipe body 1, and a feed valve 4 for controlling the feeding speed is provided at the discharge port of the feed hopper 2, and a discharge head 8 is threadedly connected to the other end of the pipe body 1, and the extrusion block 7 is located inside the discharge head 8, and a heating coil (not shown in the figure) is provided inside the side wall of the pipe body 1, and the plastic raw material enters the interior of the pipe body 1 through the feed hopper 2, and the screw 5 is driven to rotate by the servo motor 3, so that the plastic raw material is transmitted through the spiral groove of the screw 5, and at the same time, the heating coil heats the pipe body 1, so that the plastic raw material is melted inside the pipe body 1, and the melted raw material is extruded through the discharge head 8.

[0023] The other end of the tube body 1 is integrally formed with a convex ring with an external thread on the outer wall, and an inner wall of one end of the discharge head 8 is provided with an internal thread section for the convex ring to be screwed, and the other end of the discharge head 8 is conical, so that the discharge head 8 is detachable, which is convenient for replacing different discharge heads 8 according to the extrusion requirements of the actual extruder, so that it can be suitable for extrusion operations of different materials; The other end of the screw 5 is provided with a mounting groove for installing the positioning mechanism 6, and one end of the extrusion block 7 is provided with a slot for inserting the screw 5, and one end of the slot is connected with a limiting cavity 71 for one end of the positioning mechanism 6 to enter, so that the extrusion block 7 is detachably arranged, which is convenient for replacing extrusion blocks 7 of different diameters according to actual use requirements, so as to adjust the size of the distance between the extrusion block 7 and the inner wall of the discharge head 8 for different materials. When the gap between the extrusion block 7 and the inner wall of the discharge head 8 is smaller, it can have a certain grinding function on the material. When the gap between the extrusion block 7 and the inner wall of the discharge head 8 is large, it can be suitable for materials of different particle sizes to pass through, thereby improving the versatility of the injection molding machine material pipe group, and using the positioning mechanism 6 can improve the quickness of the installation of the extrusion block 7 and the screw 5.

[0024] like Figure 6As shown, the positioning mechanism 6 includes a support plate 63 fixed in the installation groove, and connecting plates 65 are arranged on both sides of the support plate 63. One side of the connecting plate 65 is fixed to one side of the support plate 63 by two supporting springs 64, and the other side of the connecting plate 65 is provided with a T-shaped pressing rod 61. The pressing rod 61 is slidably inserted in the side wall of the installation groove, and the side wall of the screw rod 5 is provided with a through hole for one end of the pressing rod 61 to pass through. A limiting block 62 is fixed at one end of the connecting plate 65, and the connecting plate 65 and the limiting block 62 form an L-shaped structure. When the screw rod 5 is located in the slot, the limiting block 62 is located inside the limiting cavity 71, and the limiting block 62 is matched with the limiting cavity 71. When the extrusion block 7 is installed, manual and simultaneous The pressing rods 61 on both sides of the screw 5 are pressed by the pressing rods 61 to move the connecting plates 65 on both sides in relative directions, so that the connecting plates 65 compress the supporting springs 64 to drive one end of the limiting block 62 to be flush with the side wall of the screw 5. When the screw 5 is inserted into the slot, the pressing rods 61 are released, and the resilience of the supporting springs 64 is used to drive the connecting plates 65 to move in the opposite direction. The limiting block 62 is driven to move in the limiting cavity 71 through the connecting plates 65, so that one end of the limiting block 62 extends beyond the outside of the screw 5, locking the extrusion block 7 and the screw 5, thereby improving the firmness of the installation between the extrusion block 7 and the screw 5. When disassembling the extrusion block 7, the pressing rods 61 on both sides of the screw 5 are manually pressed at the same time, and then the limiting block 62 is pulled out of the extrusion block 7. The operation is simple.

[0025] The three-dimensional model data of the injection molding machine material tube group includes the diameter, length, wall thickness of the tube body, the coordinates and direction of the discharge head and the screw 5, the position and status of the feed valve and the servo motor, the spiral groove depth of the screw 5, the connection method between the screw 5 and the extrusion block, the physical characteristics and chemical properties of the tube body, the screw 5 and the pull-out block, the clamping force of the injection mold, and the injection pressure, volume, weight, speed and injection rate of the extrusion block 7; When importing the three-dimensional model data of the injection molding machine material tube group, first ensure that the three-dimensional model data format is compatible with the injection molding machine control system, and then use the interface provided by the injection molding machine control system to import the three-dimensional model data into the injection molding machine control system. The injection molding machine control system parses the imported three-dimensional model data, extracts key information and constructs an internal data structure to support subsequent operations, checks whether the imported data is complete and accurate, and meets the modeling requirements of the injection molding machine control system, establishes a three-dimensional model of the injection molding machine material tube group based on the parsed data, and displays it visually. According to actual production needs, the parameters in the three-dimensional model are adjusted and optimized to ensure the stability of the production process and product quality.

[0026] S2. Importing the physical data of the plastic raw materials used into the injection molding machine control system; The injection molding machine control system includes a hydraulic system, an electrical control system for receiving operation instructions and driving the hydraulic system to work, an injection system, a mold clamping system, a heating system and a cooling system. The electrical system usually includes a power module, a controller (such as a PLC or a microprocessor), an operation panel, relays, contactors, buttons, indicator lights and other components. The controller processes data and sends control signals according to the instructions and parameters input by the user to drive various execution components to realize various actions of the injection molding process; The hydraulic system uses an oil pump to pressurize the hydraulic oil into the oil cylinder to drive the actions of mold closing, injection, pressure holding, mold opening, etc. Various valves in the hydraulic system (such as directional valves, pressure valves, flow valves) are responsible for controlling the pressure and flow of the oil to meet the needs of different stages of the injection molding process; The function of the injection system is to heat and plasticize the plastic raw materials and then inject them into the mold cavity at a certain pressure and speed. The injection system consists of a plasticizing device and a power transmission device, wherein the plasticizing device mainly consists of an injection molding machine material pipe group, a glue passing component, and a nozzle part; the power transmission device includes an injection cylinder, an injection seat moving cylinder, and a screw 5 drive device (melting motor); The function of the mold clamping system is to ensure the closing, opening and ejection of the product. At the same time, after the mold is closed, it provides the mold with sufficient clamping force to resist the mold cavity pressure generated by the molten plastic entering the mold cavity, prevent the mold from opening, and cause the product to be in a bad condition. The mold clamping system is mainly composed of a mold clamping device, a machine twist, a mold adjustment mechanism, an ejection mechanism, front and rear fixed templates, a mobile template, a mold clamping cylinder and a safety protection mechanism; the heating system is used to heat the pipe body and the extrusion block 7 to melt the plastic raw material. The heating system usually uses an electric heating coil as a heating device, which is installed on the outside of the pipe body and uses a thermocouple to detect the heat in sections; the cooling system is used to cool the mold to accelerate the solidification and shaping of the product.

[0027] The physical property data of the plastic raw material include melt index, heat distortion temperature and viscosity. The physical property data of the plastic raw material are usually provided by the raw material supplier or obtained through laboratory measurement; Figure 2 As shown, the process of importing the physical data of the plastic raw materials is as follows: S21, collecting the physical data of the plastic raw materials used, and inputting the data into the injection molding machine control system; S22, automatically verify the input physical data to check the integrity and rationality of the physical data. If an error is found in the input physical data, the injection molding machine control system will remind the operator to correct the data and then enter the automatic verification process. If no error is found in the input physical data, the verification is successful. S23, the physical data that has been successfully verified is saved in the database of the injection molding machine control system for easy access during the production process; S3. Generate recommended screw speed and screw torque setting values ​​through intelligent algorithm calculation based on 3D model data and physical data. The screw speed and screw torque setting values ​​are used to optimize the melt process and improve production efficiency and product quality. like Figure 3 As shown, the generation process of the screw speed and screw torque setting values ​​is as follows: S31, collecting physical data of plastic raw materials and relevant parameters of the three-dimensional model, and pre-processing the collected data; The preprocessing process of the collected data is as follows: A1. First, clean the collected data to remove missing values ​​and outliers. A2. Convert data from different data sources into a unified format and structure to facilitate subsequent data analysis and mining; A3. Standardize the converted data so that the data have the same range and distribution; A4. Merge the cleaned and converted data and verify the merged data to ensure data integrity and consistency; A5. Divide the verified data into a test set, a validation set, and a training set, and store the divided data sets by category; S32, establishing a mathematical model based on the processed data to describe the relationship between the screw speed and screw torque during the injection molding process and the physical data of the plastic raw material; The process of establishing the mathematical model is as follows: B1. Set the target variable as screw speed or screw torque, select the features that have a significant impact on the prediction target, calculate the correlation coefficient between each feature and the target variable, and select the features with a correlation coefficient greater than 0.5 as the key features. The correlation coefficient calculation formula is as follows: , in, and are the characteristic values ​​that have a significant impact on the prediction target, and are the predicted feature values ​​respectively; B2. Establish a training model based on the selected key features. The formula for establishing the training model is as follows: , in, is the model output value, , , …, is the independent variable, , , , …, are the coefficients of the model, is the error term; B3. Use the training set data to train the training model and calculate the loss rate L. The calculation formula of the loss rate L is as follows: , Where m is the total number of samples, is the predicted value of the training model, is the actual value of the training model; B4. Use the test set data to calculate the mean square error M of the trained model. The calculation formula is as follows: , Where n is the total number of samples, is the predicted value of the training model, is the actual value of the training model; B5. Calculate the collinearity index V1 of the training model based on the mean square error M. The calculation formula is as follows: , in, is the average of the actual values, is the predicted value of the training model; is the mean square error of the training model, is the collinearity index value; The closer it is to 0, the more stable the training model is; otherwise, the training model is unstable.

[0028] S33, using intelligent algorithms to find the optimal screw speed and screw torque setting values; The calculation process of the screw speed is as follows: The shear rate allowed for the plastic raw material is (obtained from the plastic raw material manufacturer), the screw speed calculation formula is as follows: , Wherein, h is the thickness of the plastic from the surface of the screw 5 to the inner surface of the tube 1, D is the diameter of the screw 5, is the screw speed, in r / min; The calculation process of the screw torque is as follows: Obtain the viscosity N of the plastic raw material (obtained from the plastic raw material manufacturer), first calculate the volume V2 of the screw 5 rotating per minute, and then calculate the torque T of the screw 5 based on the volume V2. The calculation formula is as follows: , ; Wherein, K is a constant selected according to the design and material properties of the screw 5, D is the diameter of the screw 5, S is the distance between two adjacent threads of the screw 5, in meters, V2 is the volume of the screw 5 rotating per minute, in cubic meters per minute, Is the viscosity of the plastic raw material.

[0029] S34, evaluating the effects of the recommended screw speed and screw torque setting values ​​through computer simulation. If the effects are not satisfactory, the model parameters need to be adjusted and the process returns to S33. If the effects are satisfactory, it is determined that the screw speed and screw torque setting values ​​are feasible.

[0030] In step S34, the process of evaluating the effect of the screw speed and screw torque setting values ​​is as follows: C1. Collect data related to screw speed and screw torque, and establish a linear model for describing the relationship between screw speed and screw torque based on the collected data; C2. Use Python software to run the linear model, input different screw speed and screw torque setting values, and observe the simulation results; C3. Compare the production efficiency, energy consumption and product quality indicators under different screw speed and screw torque setting values, and select the optimal screw speed and screw torque setting values ​​according to the analysis results; C4. Apply the selected screw speed and screw torque setting values ​​to actual production to observe whether the actual effect is consistent with the simulation result. If the actual effect differs from the simulation result by more than ±5%, the effect is not ideal. If the actual effect differs from the simulation result by no more than ±5%, the effect is ideal.

[0031] S4, the injection molding machine transmits the screw speed and screw torque setting values ​​to the driver, and monitors the actual speed and actual current of the screw 5 during the melt in real time, and optimizes the screw speed or screw torque according to the monitored actual values ​​to ensure stability and efficiency during the melt; After receiving the screw speed and screw torque setting value data, the driver first adjusts the servo motor output power and frequency according to the received data so that it can meet the screw speed and screw torque setting values, and then drives the screw 5 to rotate according to the servo motor output power and frequency. During the rotation of the screw 5, the injection molding machine collects the actual speed and actual current of the screw 5 in real time through the speed sensor and the current sensor, and transmits the collected actual screw speed and actual current to the injection molding machine control system. The injection molding machine control system adjusts the screw speed or screw torque in real time according to the actual collected data, so that the injection molding machine stably melts the plastic raw material; S5. When the injection molding machine is in automatic production, the injection molding machine control system continuously monitors the injection end position and melt end position of the injection molding machine to ensure accuracy and consistency in the production process; The automatic production process of the injection molding machine includes injection, pressure holding, cooling, mold opening and material removal. In automatic production, the target values ​​of the injection end position and the melting end position are set according to product requirements and mold design, and the current parameters of the melting motor are calculated according to the screw speed and screw torque. Then, the actual values ​​of the injection end position and the melting end position are continuously monitored by the position sensors installed in the injection system and the melting system. If the actual value differs from the target value by more than ±3%, it is determined that the injection end position exceeds the preset range, otherwise it is determined that the injection end range is normal. S51, if it is detected that the injection end position exceeds the preset range, the melt end position of the next mold is automatically adjusted to correct the deviation and maintain product quality; S52, if the current of the glue melting motor exceeds the normal range, the glue melting speed is immediately adjusted and the torque is increased, and the current of the next ten modules is monitored at the same time. If the current of ten consecutive modules exceeds the normal range, an abnormal shutdown alarm will be triggered to prevent equipment damage or production accidents; if the current of ten consecutive modules exceeds the normal range, the glue melting speed and the increased glue melting torque will be automatically adjusted according to the current excess; By importing the three-dimensional model data of the injection molding machine material tube group and the physical data of the plastic raw materials used into the injection molding machine control system, and then calculating and generating the recommended screw speed and screw torque setting values ​​through the intelligent algorithm based on the three-dimensional model data and the physical data, the injection molding machine transmits the screw speed and screw torque setting values ​​to the driver, monitors the actual speed and actual current of the screw 5 during melting in real time, and optimizes the screw speed or screw torque according to the actual monitored values. When the injection molding machine is in automatic production, the injection molding machine control system continuously monitors the injection end position and the melting end position of the injection molding machine. Due to the influence of the screw speed on the conveying effect of the plastic raw material melt and the influence on the molten physical state of the plastic raw material, a multi-dimensional electric melt control method is used to reasonably adjust the screw speed, which can effectively control the melting process and improve the quality and efficiency of injection molding.

[0032] 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 substitutions for some of the technical features therein; and these modifications or substitutions do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A multi-dimensional electric melt adhesive control method for an injection molding machine, characterized in that: The steps include: S1. Importing the three-dimensional model data of the injection molding machine material pipe group into the injection molding machine control system; S2. Importing the physical data of the plastic raw materials used into the injection molding machine control system; S3, generating recommended screw speed and screw torque setting values ​​through intelligent algorithm calculation based on the three-dimensional model data and physical data; S4, the injection molding machine transmits the screw speed and screw torque setting values ​​to the driver, monitors the actual speed and actual current of the screw (5) during the melting of the glue in real time, and optimizes the screw speed or screw torque according to the monitored actual values; S5. When the injection molding machine is in automatic production, the injection molding machine control system continuously monitors the injection end position and melt end position of the injection molding machine; S51, if it is detected that the injection end position exceeds the preset range, the melt end position of the next mold is automatically adjusted to correct the deviation and maintain product quality; S52, if the current of the glue melting motor exceeds the normal range, the glue melting speed is immediately adjusted and the torque is increased, and the current of the next ten modules is monitored at the same time. If the current of ten consecutive modules exceeds the normal range, an abnormal shutdown alarm will be triggered to prevent equipment damage or production accidents; If part of the current exceeds the normal range for ten consecutive modules, the melting speed and the increased melting torque will be automatically adjusted according to the excess current.

2. The multi-dimensional electric melt adhesive control method of an injection molding machine according to claim 1, characterized in that: In step S1, the injection molding machine material pipe group comprises a pipe body (1) and a screw (5) rotatably mounted inside the pipe body (1), one end of the screw (5) is mounted with a servo motor (3), the servo motor (3) is mounted on the outer wall of one end of the pipe body (1), the other end of the screw (5) is plugged with a water drop-shaped extrusion block (7), and the other end of the screw (5) is provided with a positioning mechanism (6) for locking the installation position of the extrusion block (7), the side wall of one end of the pipe body (1) is connected with a feed hopper (2), the feed outlet of the feed hopper (2) is provided with a feed valve (4) for controlling the feed speed, the other end of the pipe body (1) is threadedly connected with a discharge head (8), the extrusion block (7) is located inside the discharge head (8), and a heating coil is provided inside the side wall of the pipe body (1).

3. A multi-dimensional electric melt adhesive control method for an injection molding machine according to claim 2, characterized in that: The other end of the screw rod (5) is provided with a mounting groove for mounting the positioning mechanism (6), one end of the extrusion block (7) is provided with a slot for inserting the screw rod (5), and one end of the slot is connected to a limiting cavity (71) for one end of the positioning mechanism (6) to enter.

4. The multi-dimensional electric melt adhesive control method of an injection molding machine according to claim 3, characterized in that: The positioning mechanism (6) comprises a support plate (63) fixed in the installation groove, connecting plates (65) are arranged on both sides of the support plate (63), one side of the connecting plate (65) is fixed to one side of the support plate (63) by two supporting springs (64), and the other side of the connecting plate (65) is provided with a T-shaped pressing rod (61), the pressing rod (61) is slidably inserted in the side wall of the installation groove, and the side wall of the screw rod (5) is provided with a through hole for one end of the pressing rod (61) to pass through, and a limiting block (62) is fixed to one end of the connecting plate (65), and the connecting plate (65) and the limiting block (62) form an L-shaped structure, and when the screw rod (5) is located in the slot, the limiting block (62) is located inside the limiting cavity (71).

5. The multi-dimensional electric melt adhesive control method of an injection molding machine according to claim 4, characterized in that: When importing the three-dimensional model data of the injection molding machine material tube group, first ensure that the three-dimensional model data format is compatible with the injection molding machine control system, and then use the interface provided by the injection molding machine control system to import the three-dimensional model data into the injection molding machine control system. The injection molding machine control system parses the imported three-dimensional model data, extracts key information and constructs an internal data structure to support subsequent operations, checks whether the imported data is complete and accurate, and meets the modeling requirements of the injection molding machine control system, establishes a three-dimensional model of the injection molding machine material tube group based on the parsed data, and displays it visually, and adjusts and optimizes the parameters in the three-dimensional model according to actual production needs.

6. A multi-dimensional electric melt adhesive control method for an injection molding machine according to claim 5, characterized in that: In step S2, the process of importing the physical data of the plastic raw material is as follows: S21, collecting the physical data of the plastic raw materials used, and inputting the data into the injection molding machine control system; S22, automatically verify the input physical data to check the integrity and rationality of the physical data. If an error is found in the input physical data, the injection molding machine control system will remind the operator to correct the data and then enter the automatic verification process. If no error is found in the input physical data, the verification is successful. S23. The physical data that has been successfully verified is saved in the database of the injection molding machine control system.

7. A multi-dimensional electric melt adhesive control method for an injection molding machine according to claim 6, characterized in that: In step S3, the generation process of the screw speed and screw torque setting values ​​is as follows: S31, collecting physical data of plastic raw materials and relevant parameters of the three-dimensional model, and pre-processing the collected data; S32, establishing a mathematical model based on the processed data to describe the relationship between the screw speed and screw torque during the injection molding process and the physical data of the plastic raw material; S33, using intelligent algorithms to find the optimal screw speed and screw torque setting values; S34, evaluating the effects of the recommended screw speed and screw torque setting values ​​through computer simulation. If the effects are not ideal, the model parameters need to be adjusted and returned to S33. If the effects are ideal, it is determined that the screw speed and screw torque setting values ​​are feasible.

8. A multi-dimensional electric melt adhesive control method for an injection molding machine according to claim 7, characterized in that: In step S32, the process of establishing the mathematical model is as follows: B1. Set the target variable as screw speed or screw torque, select the features that have a significant impact on the prediction target, calculate the correlation coefficient between each feature and the target variable, and select the features with a correlation coefficient greater than 0.5 as the key features. The correlation coefficient calculation formula is as follows: ， in, and are the characteristic values ​​that have a significant impact on the prediction target, and are the predicted feature values ​​respectively; B2. Establish a training model based on the selected key features. The formula for establishing the training model is as follows: ， in, is the model output value, , , …, is the independent variable, , , , …, are the coefficients of the model, is the error term; B3. Use the training set data to train the training model and calculate the loss rate L. The calculation formula of the loss rate L is as follows: ， Where m is the total number of samples, is the predicted value of the training model, is the actual value of the training model; B4. Use the test set data to calculate the mean square error M of the trained model. The calculation formula is as follows: ， Where n is the total number of samples, is the predicted value of the training model, is the actual value of the training model; B5. Calculate the collinearity index V1 of the training model based on the mean square error M. The calculation formula is as follows: , in, is the average of the actual values, is the predicted value of the training model, is the mean square error of the training model, is the collinearity index value.

9. A multi-dimensional electric melt adhesive control method for an injection molding machine according to claim 8, characterized in that: In step S33, the calculation process of the screw speed is as follows: The shear rate allowed for the plastic raw material is , the screw speed calculation formula is as follows: ， Wherein, h is the thickness of the plastic from the surface of the screw (5) to the inner surface of the tube (1), D is the diameter of the screw (5), is the screw speed, in r / min; The calculation process of the screw torque is as follows: Obtain the viscosity N of the plastic raw material, first calculate the volume V2 of the screw (5) rotating per minute, and then calculate the torque T of the screw (5) based on the volume V2. The calculation formula is as follows: ， ； Wherein, K is a constant selected according to the design and material properties of the screw (5), D is the diameter of the screw (5), S is the distance between two adjacent threads of the screw (5), in meters, V2 is the volume of the screw (5) rotated per minute, in cubic meters per minute, and N is the viscosity of the plastic raw material.

10. A multi-dimensional electric melt adhesive control method for an injection molding machine according to claim 9, characterized in that: In step S34, the process of evaluating the effect of the screw speed and screw torque setting values ​​is as follows: C1. Collect data related to screw speed and screw torque, and establish a linear model for describing the relationship between screw speed and screw torque based on the collected data; C2. Use Python software to run the linear model, input different screw speed and screw torque setting values, and observe the simulation results; C3. Compare the production efficiency, energy consumption and product quality indicators under different screw speed and screw torque setting values, and select the optimal screw speed and screw torque setting values ​​according to the analysis results; C4. Apply the selected screw speed and screw torque setting values ​​to actual production and observe whether the actual effect is consistent with the simulation result. If the difference between the actual effect and the simulation result is greater than ±5%, the effect is not ideal. If the difference between the actual effect and the simulation result does not exceed ±5%, the effect is ideal.

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