Accurate temperature adjusting method for vertical injection molding machine capable of achieving efficient production

Abstract

The invention discloses an efficient production vertical injection molding machine temperature accurate adjusting method, and relates to the technical field of cable manufacturing, the method comprises the following steps: obtaining charging barrel temperatures and hydraulic strengths of a plurality of temperature measuring points of an injection molding machine in a cable manufacturing process; based on the temperature difference between the temperatures of the charging barrel at different temperature measuring points, the material distribution unevenness in the mold of the injection molding machine is obtained through calculation; on the basis of the material distribution unevenness, the cooling duration corresponding to the mold and the material injection rate, the corresponding cable production efficiency when the mold is located at all the charging barrel temperatures and the corresponding hydraulic strength is obtained through calculation; on the basis of the cable production efficiency and the hydraulic strength, the adaptation degree of each charging barrel temperature and the hydraulic strength is obtained through calculation; and adjusting the temperatures of the charging barrels with different hydraulic strengths on the basis of the adaptation degrees. The technical effect of accurately controlling the temperature of the material injected into the mold is achieved.

Description

Technical Field

[0001] The present application relates to the field of cable manufacturing technology, and in particular to a method for precisely regulating the temperature of a vertical injection molding machine for efficient production. Background Art

[0002] When using a vertical injection molding machine to manufacture flexible cables, the precise correspondence between the barrel temperature and the hydraulic temperature is crucial. The two directly determine the uniformity and fluidity of the material's molten state. Excessively high barrel temperature may cause the material to decompose or coke, while insufficient temperature will affect the plasticizing effect.

[0003] In the related art, the hydraulic strength is uniformly increased or decreased based on the known correspondence between the barrel temperature and the hydraulic strength, thereby controlling the temperature. Since the change in barrel temperature does not correspond linearly to the change in hydraulic strength inside the barrel, this method is not accurate enough in judging the hydraulic strength suitable for different barrel temperatures, resulting in the inability to accurately control the temperature of the material injected into the mold. Summary of the Invention

[0004] The main purpose of this application is to provide a method for precise temperature regulation of a vertical injection molding machine for efficient production, aiming to solve the technical problem in related technologies that, based on the known correspondence between barrel temperature and hydraulic strength, the temperature of the material injected into the mold cannot be accurately controlled because the change in barrel temperature is not linearly corresponding to the change in hydraulic strength in the barrel.

[0005] To achieve the above objectives, the present invention provides a method for accurately adjusting the temperature of a vertical injection molding machine for efficient production, comprising: Obtain barrel temperature and hydraulic strength at multiple measurement points of the injection molding machine during cable manufacturing; Based on the temperature difference between the barrel temperatures at different measuring points, the material distribution unevenness in the mold of the injection molding machine is calculated; Based on the unevenness of material distribution, the corresponding cooling time of the mold and the material injection rate, the corresponding cable production efficiency when the mold is at various barrel temperatures and corresponding hydraulic strengths is calculated; Based on the cable production efficiency and hydraulic strength, the adaptability of each barrel temperature and hydraulic strength is calculated; Based on the degree of adaptation, the barrel temperature is adjusted for different hydraulic intensities.

[0006] In one possible embodiment of the present application, the material distribution unevenness in the mold of the injection molding machine is calculated based on the temperature difference between the barrel temperatures at different temperature measurement points, including: Each temperature measurement point is clustered using a preset clustering algorithm to obtain multiple clusters; Based on the density characteristics of the clusters, the target focus area in each cluster is extracted; Calculating a first material non-uniformity of each target area of ​​interest based on a temperature difference between each target area of ​​interest; Based on the temperature difference between the clusters, the second material inhomogeneity corresponding to all the clusters as a whole is calculated; The material distribution unevenness in the mold of the injection molding machine is calculated based on the first material unevenness and the second material unevenness.

[0007] In a possible implementation of the present application, based on the density characteristics of the clusters, extracting the target area of ​​interest in each cluster includes: Determining a first number of temperature measurement points included in different clusters and an occupied volume of each cluster; Determining a density feature of each cluster based on the occupied volume and the first quantity; Based on the density characteristics, the attention of each cluster is calculated; The cluster corresponding to the attention degree greater than the preset attention degree threshold is set as the target attention area.

[0008] In a possible implementation of the present application, calculating the first material non-uniformity of each target area of ​​interest based on the temperature difference between the target areas of interest includes: For any temperature measurement time point, calculate the first temperature standard deviation of all temperature measurement points in each target area of ​​interest, and the first temperature difference between the maximum temperature and the minimum temperature corresponding to all temperature measurement points; Based on the first temperature difference and the first temperature standard deviation, a first material non-uniformity of each target area of ​​interest is calculated.

[0009] In a possible implementation of the present application, the second material non-uniformity corresponding to all clusters as a whole is calculated based on the temperature difference between the clusters, including: For any temperature measurement time point, determine the temperature mean between each temperature measurement point in different clusters, the second temperature standard deviation between each temperature mean, and the second temperature difference between the maximum temperature and the minimum temperature of each temperature mean; Based on the second temperature difference and the second temperature standard deviation, the second material non-uniformity corresponding to all clusters as a whole is calculated.

[0010] In one possible embodiment of the present application, the cable production efficiency corresponding to each barrel temperature and corresponding hydraulic strength is calculated based on the uneven distribution of the material, the cooling time of the mold, and the material injection rate, including: Obtain the cooling time of the mold at various barrel temperatures and corresponding hydraulic strengths, as well as the material injection rate of the mold at the current moment; Determine the material distribution unevenness corresponding to a preset number of temperature measurement time points before the current moment, and calculate a first sum value between the material distribution unevenness; Based on the cooling time, material injection rate and the first sum value, the cable production efficiency corresponding to the mold at various barrel temperatures and corresponding hydraulic strengths is calculated.

[0011] In a possible implementation of the present application, based on the cable production efficiency and the hydraulic strength, the degree of adaptation between the barrel temperature and the hydraulic strength is calculated, including: For any barrel temperature, select the cable production efficiency corresponding to different hydraulic strengths at the current barrel temperature; determining a maximum production efficiency among cable production efficiencies greater than a preset efficiency threshold; Based on the ratio between the cable production efficiency and the maximum production efficiency, as well as the hydraulic strength, the degree of adaptation between the barrel temperature and the hydraulic strength is calculated.

[0012] In a possible embodiment of the present application, the barrel temperature of different hydraulic intensities is adjusted based on the degree of adaptation, including: For any hydraulic pressure intensity, the barrel temperature corresponding to the maximum adaptation degree is set as the target temperature under the current hydraulic pressure intensity.

[0013] In a possible embodiment of the present application, after adjusting the barrel temperature of different hydraulic intensities based on the degree of adaptation, the method further includes: Based on the changing trend between barrel temperature and hydraulic strength, calculate the hydraulic strength adjustment interval at different barrel temperatures; Based on the hydraulic intensity adjustment interval and the preset reference hydraulic intensity, the hydraulic intensity of the current barrel temperature is adjusted.

[0014] In a possible implementation of the present application, based on the variation trend between the barrel temperature and the hydraulic strength, the hydraulic strength adjustment interval at different barrel temperatures is calculated, including: Establish a change curve between barrel temperature and hydraulic strength, and calculate the slope difference between two adjacent points at different temperature measurement points in the change curve; When the slope difference is greater than the preset slope threshold, the current temperature measurement point is determined to be a hydraulic pressure change turning point; The curve from the turning point of hydraulic pressure change to the current temperature measuring point is divided into segments as the analysis interval reference segment of the hydraulic strength of the current temperature measuring point; The degree of change of the hydraulic interval is calculated based on the change duration of the reference section of the analysis interval and the difference between the maximum and minimum values ​​of the hydraulic intensity; The hydraulic strength adjustment interval is calculated based on the degree of change in the hydraulic interval.

[0015] The present application provides a method for precise temperature regulation of a vertical injection molding machine for efficient production. Compared with the related art, based on the known correspondence between barrel temperature and hydraulic strength, the barrel temperature change is not linearly corresponding to the change of hydraulic strength in the barrel, and the temperature of the material injected into the mold cannot be precisely controlled. In the present application, by obtaining the barrel temperature and hydraulic strength of multiple temperature measuring points of the injection molding machine during the cable manufacturing process, the material distribution unevenness in the mold of the injection molding machine is calculated based on the temperature difference between the barrel temperatures at different temperature measuring points. Then, the cable production efficiency achieved by the mold under different barrel temperatures and corresponding hydraulic strengths is calculated based on the material distribution unevenness. Therefore, the degree of adaptation of the current barrel temperature and hydraulic strength can be calculated based on the cable production efficiency and hydraulic strength. When the cable production efficiency is high, it means that the degree of adaptation is high, otherwise, the degree of adaptation is low. Then, the barrel temperature under each hydraulic strength is adjusted to achieve the technical effect of precisely controlling the temperature of the material injected into the mold. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 This is a flow chart of the first embodiment of the method for precise temperature regulation of a vertical injection molding machine for efficient production of this application; Figure 2 A schematic diagram of the electronic connector structure involved in the method for accurately adjusting the temperature of a vertical injection molding machine for efficient production in this application; Figure 3 This is a schematic diagram of the device structure of the hardware operating environment involved in the embodiment of the present application. DETAILED DESCRIPTION

[0017] It should be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application.

[0018] The embodiment of the present application provides a method for accurately adjusting the temperature of a vertical injection molding machine for efficient production. In the first embodiment of the method for accurately adjusting the temperature of a vertical injection molding machine for efficient production of the present application, Figure 1 , methods include: Step S10, obtaining the barrel temperature and hydraulic strength at multiple temperature measurement points of the injection molding machine during the cable manufacturing process; Step S20, calculating the material distribution unevenness in the mold of the injection molding machine based on the temperature difference between the barrel temperatures at different temperature measurement points; Step S30, calculating the cable production efficiency corresponding to the mold at various barrel temperatures and corresponding hydraulic intensities based on the material distribution unevenness, the corresponding cooling time of the mold, and the material injection rate; Step S40, calculating the degree of adaptation between the temperature of each barrel and the hydraulic pressure based on the cable production efficiency and the hydraulic pressure; Step S50: adjusting the barrel temperature of different hydraulic intensities based on the degree of adaptation.

[0019] The purpose of this embodiment is to calculate the cable production efficiency corresponding to different barrel temperatures and corresponding hydraulic strengths. When the cable production efficiency is high, it means that the degree of adaptation is high, and vice versa, the degree of adaptation is low. Then, the barrel temperature under each hydraulic strength is adjusted to achieve the technical effect of accurately controlling the temperature of the material injected into the mold.

[0020] The specific steps are as follows: Step S10, obtaining the barrel temperature and hydraulic pressure strength at multiple temperature measurement points of the injection molding machine during the cable manufacturing process.

[0021] As an example, the temperature precision adjustment method of a vertical injection molding machine for efficient production can be applied to a temperature precision adjustment device of a vertical injection molding machine for efficient production. The temperature precision adjustment device of a vertical injection molding machine for efficient production belongs to a temperature precision adjustment system of a vertical injection molding machine for efficient production. The temperature precision adjustment system of a vertical injection molding machine for efficient production belongs to temperature precision adjustment equipment of a vertical injection molding machine for efficient production.

[0022] As an example, the precise temperature control method for efficient vertical injection molding machines can also be applied to vertical injection molding machines. Regarding the various data acquisition methods described below, a servo motor is installed on the injection molding machine. An injection speed sensor can be installed behind the servo motor to indirectly calculate the injection speed of the material by detecting piston displacement or screw speed. Vertical injection molding machines can also use magnetostriction or encoders to directly measure screw position and provide real-time feedback to the control system.

[0023] As an example, the barrel temperature can be measured by installing a probe thermocouple at the front end of the nozzle or the homogenizing section of the screw, directly contacting the melt (high-pressure-resistant design is required). The cavity surface temperature sensor adopts the principle of symmetrical distribution + key area monitoring. Each cavity has at least 1-2 measuring points, which are arranged near the gate and the end; additional measuring points are added in thin walls, corners and other areas prone to heat dissipation; the thermocouple is buried 5-8mm from the surface to avoid interfering with the molding surface, so as to monitor the temperature at different positions during cable manufacturing.

[0024] As an example, the hydraulic strength can be monitored in real time at various points in the mold by installing a pressure sensor in the hydraulic system of the injection molding machine. This method can directly obtain accurate pressure data.

[0025] Step S20 , calculating the uneven distribution of material in the mold of the injection molding machine based on the temperature difference between the barrel temperatures at different temperature measurement points.

[0026] As an example, when a vertical injection molding machine is used to mold flexible cable electronic connectors, power connectors, and cable end subassemblies, the material has different viscosities at different temperatures, resulting in different injection speeds into the mold at different hydraulic intensities. A mismatch between barrel temperature and hydraulic pressure can result in a slower injection rate, allowing the material to cool before filling the mold, leading to partial solidification of the material, a phenomenon known as short shot. The resulting flexible cable is defective and can affect normal use. To ensure the material maintains an appropriate temperature after entering and exiting the mold, the matching degree between barrel temperature and hydraulic pressure should be determined, with analysis prioritizing the uniform distribution of the material after injection.

[0027] Specifically, the structural diagram of the electronic connector is as follows: Figure 2 As shown, the direction indicated by the arrow is the corner area.

[0028] As an example, material distribution unevenness is used to indicate how evenly a material (which may be a material used to make a cable) is distributed in a mold. The greater the temperature difference between the various temperature measurement points and the more scattered the temperature distribution, the more uneven the material distribution.

[0029] Wherein, step S20 also includes steps S21 to S25, including: Step S21 , clustering each temperature measurement point using a preset clustering algorithm to obtain a plurality of clusters.

[0030] As an example, for the three-dimensional model of a cable vertical injection molding machine, each temperature measurement point is marked, and the marked temperature measurement point positions are placed in a three-dimensional coordinate system. The DBSCAN density clustering algorithm (a density-based clustering algorithm) is used to cluster the temperature measurement points in closer positions to obtain multiple clusters.

[0031] Step S22: extracting the target area of ​​interest in each cluster based on the density characteristics of the clusters.

[0032] As an example, the target area of ​​interest represents an area that requires more attention, such as a corner area during cable injection molding or an area with a complex structure.

[0033] The step S22 of extracting the target area of ​​interest in each cluster based on the density characteristics of the clusters includes: The first number of temperature measurement points included in different clusters and the occupied volume of each cluster are determined.

[0034] As an example, the number of temperature measurement points n contained in different clusters j j Perform statistics to obtain the first quantity and calculate the occupied volume V of the cluster j By calculating, we can get the occupied volume of each cluster.

[0035] Based on the occupied volume and the first quantity, a density feature of each cluster is determined.

[0036] Based on the density feature, the attention degree of each cluster is calculated.

[0037] As an example, the density feature represents the density of each temperature measurement point in the cluster. The density feature is determined by the number and volume of the temperature measurement points, and the attention of each cluster is calculated through the density feature.

[0038] As an example, when the number of temperature measurement points in a single cluster is n j The more, and the volume V j The smaller the size, the closer the cluster is to the corner or complex structure area during cable injection molding. More attention should be paid to the temperature at this location. Therefore, the attention degree of each cluster is calculated based on the occupied volume and the first quantity. The attention degree Q j The calculation method can be: , Among them, n j Represents the first quantity, V j Indicates the occupied volume.

[0039] The cluster corresponding to the attention degree greater than the preset attention degree threshold is set as the target attention area.

[0040] As an example, before comparing the attention of each cluster with the preset attention threshold, it is necessary to perform maximum and minimum normalization processing on the calculated attention to obtain q j , whose value range is (0,1).

[0041] As an example, the preset attention threshold may be 0.6, 0.7, etc., without specific limitation.

[0042] As an example, taking the preset attention threshold as 0.7, when q j When it is >0.7, it is determined to be an area that needs more attention, such as a corner or a complex structure area, that is, a target attention area.

[0043] Step S23 : calculating and obtaining the first material non-uniformity of each target area of ​​interest based on the temperature difference between each target area of ​​interest.

[0044] As an example, when calculating the material non-uniformity in the mold, it is necessary to consider the target area of ​​interest and the overall non-uniformity of the cluster separately. The first material non-uniformity calculated here is the material non-uniformity of the target area of ​​interest. The larger the first material non-uniformity, the more uneven the material distribution.

[0045] The step S23 of calculating the first material non-uniformity of each target attention region based on the temperature difference between the target attention regions comprises: For any temperature measurement time point, the first temperature standard deviation of all temperature measurement points in each target attention region is calculated, and the first temperature difference between the maximum temperature and the minimum temperature corresponding to all temperature measurement points is calculated.

[0046] As an example, the temperature standard deviation of the temperature measurement points calculated at different temperature measurement time points is different, so for each temperature measurement time point, the first temperature standard deviation of the temperature measurement points in the target attention region and the first temperature difference between the maximum temperature and the minimum temperature are calculated respectively.

[0047] The first material non-uniformity of each target attention region is calculated based on the first temperature difference and the first temperature standard deviation.

[0048] As an example, taking the target attention region j as an example, when the temperature standard deviation of each temperature measurement point in the target attention region j is larger, the difference t j between the maximum temperature and the minimum temperature is larger, the temperature distribution problem in the target attention region j is more scattered, and the material is more non-uniform, so the material injection non-uniformity of the target attention region j at the temperature measurement time point k, that is, the first material non-uniformity, can be obtained. The calculation method of the first material non-uniformity may be: , wherein, represents the first temperature standard deviation of the target attention region j, represents the first temperature difference of the target attention region j.

[0049] Step S24, based on the temperature difference between the clusters, the second material non-uniformity corresponding to all clusters as a whole is calculated.

[0050] As an example, after calculating the material non-uniformity of the target attention region, the material non-uniformity of all clusters as a whole, that is, the second material non-uniformity, also needs to be calculated.

[0051] The step S24 of calculating the second material non-uniformity corresponding to all clusters as a whole based on the temperature difference between the clusters comprises: For any temperature measurement time point, the temperature mean value between each temperature measurement point in different clusters, the second temperature standard deviation between each temperature mean value, and the second temperature difference between the maximum temperature and the minimum temperature of each temperature mean value are determined.

[0052] As an example, for a single cluster, a cluster includes multiple temperature measurement points and corresponds to a temperature mean. The second temperature standard deviation is the temperature standard deviation between the temperature means corresponding to different clusters. There is a maximum temperature and a minimum temperature between each temperature mean, and the second temperature difference is the difference between the maximum temperature and the minimum temperature.

[0053] Based on the second temperature difference and the second temperature standard deviation, the second material non-uniformity corresponding to all clusters as a whole is calculated.

[0054] As an example, the material injection unevenness of all cluster positions is calculated by the second standard deviation and the second temperature standard deviation, that is, the second material unevenness W k , where k represents the kth moment. The calculation method of the second material unevenness is the same as that of the first material unevenness, which will not be described here.

[0055] Step S25 : calculating the material distribution unevenness in the mold of the injection molding machine based on the first material unevenness and the second material unevenness.

[0056] As an example, material distribution unevenness indicates how evenly the material is distributed in a mold of an injection molding machine. The larger the value, the greater the unevenness of the distribution.

[0057] As an example, the mean value of the first material unevenness corresponding to each target area of ​​interest is calculated and recorded as , when the material injection unevenness W of all cluster positions k The larger the value, the higher the average value of the material injection unevenness in the target area of ​​interest. The larger the value, the greater the unevenness of the material injection at the kth moment. From this, we can get the unevenness of the material distribution in the mold at the kth moment E. k : , Among them, W k represents the second material inhomogeneity, Represents the average value between the inhomogeneities of the first materials. When E k The larger it is, the greater the unevenness of material injection.

[0058] Step S30 , based on the material distribution unevenness, the corresponding cooling time of the mold and the material injection rate, the corresponding cable production efficiency when the mold is at various barrel temperatures and corresponding hydraulic strengths is calculated.

[0059] As an example, after calculating the unevenness of material distribution, the cable production efficiency at the current barrel temperature and corresponding hydraulic strength is determined by the uniformity of material distribution in the mold after the material is injected into the mold and stabilized, as well as the injection speed. When the cable production efficiency is high, it means that the barrel temperature and the corresponding hydraulic strength are highly adapted, otherwise, the adaptation is low.

[0060] The step S30 of calculating the cable production efficiency corresponding to each barrel temperature and corresponding hydraulic strength of the mold based on the uneven distribution of the material, the cooling time corresponding to the mold, and the material injection rate includes: Obtain the cooling time of the mold at various barrel temperatures and corresponding hydraulic strengths, as well as the material injection rate of the mold at the current moment.

[0061] As an example, the cooling time may be the time required for the mold to reach the cooling temperature from the beginning of cooling. The cooling time may be 10 minutes, 20 minutes, etc., and is not specifically limited.

[0062] As an example, the material injection rate can be acquired by an injection speed sensor installed at the rear end of a servo motor of an injection molding machine.

[0063] The material distribution unevenness corresponding to a preset number of temperature measurement time points before the current moment is determined, and a first sum value between the material distribution unevenness is calculated.

[0064] As an example, the preset number can be 10, and K (set to 10) consecutive temperature detection moments are calculated from the moment when the mold as a whole reaches the cooling temperature, and the injection status of the material in the mold at different moments is calculated, that is, the material distribution unevenness E k .

[0065] As an example, the first sum is expressed as , k represents the number of temperature detection moments / temperature measurement time points.

[0066] Based on the cooling time, material injection rate and the first sum value, the cable production efficiency corresponding to the mold at various barrel temperatures and corresponding hydraulic strengths is calculated.

[0067] As an example, when the barrel temperature is T and the corresponding hydraulic strength is p, the injection speed sensor installed at the rear end of the servo motor is used to obtain the material injection rate. , where T represents the barrel temperature and p represents the corresponding hydraulic strength.

[0068] As an example, when the material is injected at a rate The faster the mold is, the longer it takes for the mold to reach the cooling temperature from the beginning of cooling. The longer (the greater the amount of injected material, the longer the cooling time), the greater the sum of the material distribution unevenness in the mold at the K (set to 10) temperature detection time points calculated forward from the time when the entire mold reaches the cooling temperature The smaller, the greater the amount of material injected in the mold, the more uniform.

[0069] And the faster the simultaneous injection speed, it is proved that when the current temperature is T and the hydraulic strength is set to p, the material injection is uniform, the injection time is short, and the production efficiency of the cable is increased.

[0070] As an example, the cable production efficiency when the barrel temperature is T and the corresponding hydraulic strength is p The calculation method can be: , Among them, represents the material injection rate, represents the cooling time, represents the first sum, wherein, and The standardization process has been carried out before calculation.

[0071] Step S40, based on the cable production efficiency and the hydraulic strength, the adaptation degree of each barrel temperature and the hydraulic strength is calculated.

[0072] As an example, the corresponding relationship between the appropriate hydraulic strength and the barrel temperature is obtained, which ensures the temperature when the material is filled. At the same time, the consumption of hydraulic strength should also be considered. Therefore, in order to reduce the loss and produce efficiently, a smaller hydraulic strength should also be selected. Furthermore, the adaptation degree of each barrel temperature and the hydraulic strength is calculated through the cable production efficiency and the hydraulic strength. The greater the adaptation degree of any barrel temperature and the hydraulic strength, the greater the production efficiency.

[0073] Among them, the step S40 of calculating the adaptation degree of each barrel temperature and the hydraulic strength based on the cable production efficiency and the hydraulic strength includes: For any barrel temperature, the cable production efficiency corresponding to different hydraulic strengths at the current barrel temperature is selected.

[0074] As an example, for different barrel temperatures, the cable production efficiency corresponding to different hydraulic strengths can be calculated.

[0075] Determine the maximum production efficiency in the cable production efficiency greater than the preset efficiency threshold.

[0076] As an example, the cable production efficiency when the barrel temperature is T and the corresponding hydraulic strength is p is taken as an example. Before being compared with the preset efficiency threshold, the Perform normalization and obtain .

[0077] As an example, the preset efficiency threshold may be 0.6, 0.7, etc., without specific limitation.

[0078] As an example, the maximum production efficiency may be greater than a preset efficiency threshold. The maximum value in .

[0079] Based on the ratio between the cable production efficiency and the maximum production efficiency, as well as the hydraulic strength, the degree of adaptation between the barrel temperature and the hydraulic strength is calculated.

[0080] As an example, when the barrel temperature is T, the cable production efficiency corresponding to the hydraulic intensity p is Performance The larger the value is and the smaller the corresponding hydraulic intensity p is, the more resources are saved and the more efficient production can be achieved. From this, we can get the degree of adaptation of the corresponding hydraulic intensity p when the barrel temperature is T. The calculation method can be: , in, is the normalized cable production efficiency, represents the maximum production efficiency, and p represents the hydraulic strength.

[0081] Step S50: adjusting the barrel temperature of different hydraulic intensities based on the degree of adaptation.

[0082] As an example, according to the different adaptation degrees between the barrel temperature and the hydraulic intensity, the barrel temperature corresponding to the current hydraulic intensity is determined, and the barrel temperature is adjusted so that the cable production efficiency corresponding to the mold reaches the maximum value.

[0083] The step S50 of adjusting the barrel temperature of different hydraulic intensities based on the degree of adaptation includes: For any hydraulic pressure intensity, the barrel temperature corresponding to the maximum adaptation degree is set as the target temperature under the current hydraulic pressure intensity.

[0084] As an example, for any hydraulic intensity, based on the different degrees of adaptation between the barrel temperature and the hydraulic intensity calculated previously, the maximum degree of adaptation between the current hydraulic intensity and each barrel temperature is determined, and the barrel temperature corresponding to the maximum degree of adaptation is set as the target temperature under the current hydraulic intensity. The current barrel temperature is adjusted by heating or cooling the mold until the target temperature is reached.

[0085] As an example, after calculating the degree of adaptation, corresponding temperature-hydraulic combinations can be generated for several commonly used barrel temperatures or hydraulic intensities. The most suitable hydraulic intensities obtained under different barrel temperatures are transmitted to the database for corresponding storage. The corresponding relationship between the barrel temperature and the hydraulic intensities is obtained using SQL query statements, and a visual interface is displayed in the form of a table for reference by staff in cable production. The corresponding combinations of barrel temperature and hydraulic intensities are shown in the following table.

[0086]

[0087] Wherein, after step S50 of adjusting the barrel temperature of different hydraulic intensities based on the degree of adaptation, the method further includes: Step A1: Calculate the hydraulic intensity adjustment interval at different barrel temperatures based on the change trend between barrel temperature and hydraulic intensity.

[0088] As an example, in addition to adjusting the barrel temperature according to the hydraulic intensity, the hydraulic intensity at the same temperature can also be adjusted. For the barrel temperature T where the exact hydraulic intensity is unknown, a reference hydraulic intensity can be preferentially selected, and the hydraulic intensity can be reduced by a certain interval. Finally, the corresponding hydraulic intensity is determined among the hydraulic intensities with high production efficiency and small hydraulic intensity. The hydraulic intensity adjustment interval is the hydraulic interval between the two hydraulic adjustment amounts during the gradual adjustment of the hydraulic intensity.

[0089] The step A1 of calculating the hydraulic strength adjustment interval at different barrel temperatures based on the variation trend between the barrel temperature and the hydraulic strength includes: A change curve between barrel temperature and hydraulic strength is established, and the slope difference between two adjacent points at different temperatures in the change curve is calculated.

[0090] As an example, the change curve is a two-dimensional coordinate change curve diagram established with the barrel temperature as the horizontal coordinate, the temperature increasing from small to large as the positive direction, and the corresponding hydraulic intensity as the vertical coordinate, the hydraulic intensity increasing from small to large as the positive direction. In the process of establishing the change curve, the hydraulic intensity corresponding to the barrel temperature can be obtained every 10 degrees.

[0091] As an example, each temperature point on the change curve represents a temperature value, and each temperature point corresponds to a slope value. The slope difference is the slope difference between the slopes of two adjacent points at each temperature point. When the temperature point is the starting point, the slope difference is the slope value of the adjacent point on the right. The slope difference is used to represent the change trend of different temperature points.

[0092] When the slope difference is greater than a preset slope threshold, the current temperature point is determined to be a hydraulic pressure change turning point.

[0093] As an example, after the slope difference is calculated, the slope difference is normalized to a maximum and minimum value, and the normalized slope difference is compared with a preset slope threshold.

[0094] As an example, the hydraulic pressure change turning point is used to indicate that the degree of change of the curve after the point is greater, and the degree of change of the curve before the point is smaller, thereby distinguishing the curves at both ends of the point.

[0095] The curve from the turning point of the hydraulic pressure change to the current temperature point is divided into segments as the analysis interval reference segments of the hydraulic strength at the current temperature point.

[0096] As an example, the curve segment from the most recent hydraulic pressure change turning point of the current barrel temperature T to the current barrel temperature T is used as the analysis interval reference segment of the hydraulic pressure intensity of the barrel temperature T.

[0097] The hydraulic interval variation degree is calculated based on the variation duration of the analysis interval reference segment and the difference between the maximum and minimum values ​​of the hydraulic intensity.

[0098] As an example, taking the barrel temperature T as an example, the change time of the analysis interval reference segment is t T The difference between the maximum and minimum hydraulic strength is expressed as P T Indicates that when analyzing the change in the interval reference segment, the length t T The shorter the value, the difference between the maximum and minimum values ​​of the corresponding hydraulic strength is P T The smaller the value is, the smaller the degree of change of the hydraulic strength in this reference section is, and it has been maintained for a shorter time, and may be maintained for a longer time afterwards. The smaller the difference between the appropriate hydraulic strength when the barrel temperature is T and the appropriate hydraulic strength corresponding to the barrel temperature T' of the last analysis is, the more accurate the obtained hydraulic strength is, and the analysis interval of the hydraulic strength can be appropriately reduced.

[0099] Therefore, when the barrel temperature is T, the appropriate hydraulic strength corresponding to the barrel temperature T' of the last analysis is used as the starting reference hydraulic strength when the barrel temperature is T, and the interval for each hydraulic strength reduction analysis should be shortened (the higher the barrel temperature, the lower the viscosity, and the lower the hydraulic strength used during filling should be).

[0100] As an example, when the barrel temperature is T, the hydraulic interval variation degree U T The calculation method can be: , Among them, t T Indicates the duration of the change in the reference segment of the analysis interval, P T Indicates the difference between the maximum and minimum hydraulic strength, t T和 P TNormalization was performed before calculations were performed.

[0101] When the hydraulic interval changes to the degree U T The larger the value, the smaller the hydraulic strength adjustment interval.

[0102] The hydraulic strength adjustment interval is calculated based on the degree of change in the hydraulic interval.

[0103] As an example, U is normalized by max-min T Perform normalization processing to obtain the normalized hydraulic interval change degree u T , its value range is (-1,1), from which we can get the hydraulic strength interval used when comparing and analyzing the appropriate hydraulic strength at the barrel temperature T. , B is the preset value, which can be set to 0.02MPa.

[0104] Step A2: adjusting the hydraulic intensity of the current barrel temperature based on the hydraulic intensity adjustment interval and the preset reference hydraulic intensity.

[0105] As an example, the preset reference hydraulic strength may be 100 MPa or 110 MPa, without specific limitation.

[0106] As an example, the preset reference hydraulic intensity is the benchmark hydraulic intensity used to adjust the hydraulic pressure. For example, if the current temperature is 120 degrees, the preset reference hydraulic intensity can be the hydraulic intensity corresponding to the barrel temperature of 110 degrees. Then, according to the calculated hydraulic intensity adjustment interval, the hydraulic intensity is gradually increased or decreased.

[0107] The present application provides a method for precise temperature regulation of a vertical injection molding machine for efficient production. Compared with the related art, which cannot precisely control the temperature of the material injected into the mold based on the known correspondence between the barrel temperature and the hydraulic strength, in the present application, by obtaining the barrel temperature and hydraulic strength of multiple temperature measuring points of the injection molding machine during the cable manufacturing process, the material distribution unevenness in the mold of the injection molding machine is calculated based on the temperature difference between the barrel temperatures at different temperature measuring points. Furthermore, the cable production efficiency achieved by the mold under different barrel temperatures and corresponding hydraulic strengths is calculated based on the material distribution unevenness. Therefore, the degree of adaptation of the current barrel temperature and hydraulic strength can be calculated based on the cable production efficiency and hydraulic strength. When the cable production efficiency is high, it means that the degree of adaptation is high, otherwise, the degree of adaptation is low. Furthermore, the barrel temperature under each hydraulic strength is adjusted to achieve the technical effect of precisely controlling the temperature of the material injected into the mold.

[0108] Reference Figure 3 , Figure 3 It is a schematic diagram of the device structure of the hardware operating environment involved in the embodiment of the present application.

[0109] like Figure 3 As shown, the temperature precision regulating device for a vertical injection molding machine with high efficiency may include: a processor 1001 , a memory 1005 , and a communication bus 1002 . The communication bus 1002 is used to realize the connection and communication between the processor 1001 and the memory 1005 .

[0110] Optionally, the highly efficient vertical injection molding machine temperature precision control device may also include a user interface, a network interface, a camera, an RF (Radio Frequency) circuit, a sensor, a WiFi module, and the like. The user interface may include a display and an input submodule such as a keyboard. The optional user interface may also include a standard wired interface or a wireless interface. The network interface may include a standard wired interface or a wireless interface (such as a WiFi interface).

[0111] Those skilled in the art will understand that Figure 3 The structure of the temperature precision control equipment for a vertical injection molding machine for efficient production shown in the figure does not constitute a limitation on the temperature precision control equipment for a vertical injection molding machine for efficient production, and may include more or fewer components than shown in the figure, or a combination of certain components, or a different arrangement of components.

[0112] like Figure 3 As shown, memory 1005, a storage medium, may include an operating system, a network communication module, and a program for precisely regulating the temperature of a vertical injection molding machine for efficient production. The operating system manages and controls the hardware and software resources of the precise temperature regulation equipment for a vertical injection molding machine for efficient production, supporting the execution of the precise temperature regulation program for a vertical injection molding machine for efficient production and other software and / or programs. The network communication module facilitates communication between components within memory 1005, as well as with other hardware and software within the precise temperature regulation system for a vertical injection molding machine for efficient production.

[0113] exist Figure 3 In the high-efficiency production vertical injection molding machine temperature precision adjustment device shown, the processor 1001 is used to execute the high-efficiency production vertical injection molding machine temperature precision adjustment program stored in the memory 1005 to implement any of the steps of the high-efficiency production vertical injection molding machine temperature precision adjustment method described above.

[0114] The specific implementation of the highly efficient production vertical injection molding machine temperature precision adjustment device of the present application is basically the same as the various embodiments of the highly efficient production vertical injection molding machine temperature precision adjustment method described above, and will not be repeated here.

[0115] It should be noted that, in the present document, the terms "comprises", "comprising", or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can also include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element preceded by "comprises... a" does not, without more constraints, foreclose the existence of additional identical elements in the process, method, article, or apparatus that comprises the element.

[0116] The above-mentioned sequence numbers of the embodiments of the present application are only for description, and do not represent the advantages and disadvantages of the embodiments.

[0117] From the above description of the embodiments, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be realized by means of software and necessary general hardware platforms, and of course, they can also be realized by hardware, but in many cases, the former is a better embodiment. Based on such understanding, the technical solutions of the present application can be embodied in the form of a software product, which is stored in a storage medium (such as a ROM / RAM, a magnetic disk, or an optical disk) and includes a number of instructions for causing a terminal device (which can be a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the methods of various embodiments of the present application.

[0118] The above is only the preferred embodiment of the present application, and does not limit the application range of the present application. Any equivalent structure or equivalent process transformation based on the content of the present application specification and drawings, or direct or indirect application in other related technical fields, is also included in the application protection range of the present application.

[0119] It should be noted that: the above-mentioned sequence of the embodiments of the present application is only for description, and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multi-task processing and parallel processing are also possible or can be advantageous.

[0120] Each of the embodiments in the present specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments.

Claims

1. A method for accurately regulating the temperature of a vertical injection molding machine for efficient production, characterized in that: The method comprises: Obtain barrel temperature and hydraulic strength at multiple measurement points of the injection molding machine during cable manufacturing; Calculating the uneven distribution of material in the mold of the injection molding machine based on the temperature difference between the barrel temperatures at different temperature measurement points; Based on the material distribution unevenness, the corresponding cooling time of the mold, and the material injection rate, the corresponding cable production efficiency when the mold is at each barrel temperature and the corresponding hydraulic strength is calculated; Based on the cable production efficiency and the hydraulic pressure strength, calculating the degree of adaptation between the barrel temperature and the hydraulic pressure strength; Based on the degree of adaptation, the barrel temperature is adjusted for different hydraulic intensities.

2. The method for precise temperature regulation of a vertical injection molding machine for efficient production according to claim 1, characterized in that: The calculating of the uneven distribution of material in the mold of the injection molding machine based on the temperature difference between the barrel temperatures at different temperature measurement points includes: Each temperature measurement point is clustered using a preset clustering algorithm to obtain multiple clusters; Extracting the target area of ​​interest in each of the clusters based on the density characteristics of the clusters; Calculating a first material non-uniformity of each target area of ​​interest based on a temperature difference between the target areas of interest; Based on the temperature difference between the clusters, calculating the second material non-uniformity corresponding to all the clusters as a whole; The material distribution unevenness in the mold of the injection molding machine is calculated based on the first material unevenness and the second material unevenness.

3. The method for precise temperature regulation of a vertical injection molding machine for efficient production according to claim 2, characterized in that: The extracting the target focus area in each of the clusters includes: Determining a first number of temperature measurement points included in different clusters and an occupied volume of each of the clusters; determining a density feature of each of the clusters based on the occupied volume and the first quantity; Based on the density feature, calculating the attention degree of each cluster; The cluster corresponding to the attention degree greater than the preset attention degree threshold is set as the target attention area.

4. The method for precise temperature regulation of a vertical injection molding machine for efficient production according to claim 2, wherein: The calculating the first material non-uniformity of each target area of ​​interest based on the temperature difference between each target area of ​​interest includes: For any temperature measurement time point, calculate the first temperature standard deviation of all temperature measurement points in each target area of ​​interest, and the first temperature difference between the maximum temperature and the minimum temperature corresponding to all temperature measurement points; A first material non-uniformity of each target area of ​​interest is calculated based on the first temperature difference and the first temperature standard deviation.

5. The method for precise temperature regulation of a vertical injection molding machine for efficient production according to claim 2, characterized in that: The calculating of the second material non-uniformity corresponding to all clusters as a whole based on the temperature difference between the clusters includes: For any temperature measurement time point, determine the temperature mean between each temperature measurement point in different clusters, the second temperature standard deviation between each temperature mean, and the second temperature difference between the maximum temperature and the minimum temperature of each temperature mean; Based on the second temperature difference and the second temperature standard deviation, the second material non-uniformity corresponding to all clusters as a whole is calculated.

6. The method for precise temperature regulation of a vertical injection molding machine for efficient production according to claim 1, characterized in that: The calculating of the cable production efficiency corresponding to each barrel temperature and hydraulic pressure strength of the mold based on the material distribution unevenness, the cooling time corresponding to the mold, and the material injection rate includes: Obtaining the cooling time of the mold at each barrel temperature and corresponding hydraulic strength, and the material injection rate of the mold at the current moment; Determining material distribution unevenness corresponding to a preset number of temperature measurement time points before the current moment, and calculating a first sum value between the material distribution unevenness; Based on the cooling time, the material injection rate, and the first sum value, the cable production efficiency corresponding to the mold at each barrel temperature and the corresponding hydraulic pressure strength is calculated.

7. The method for precise temperature regulation of a vertical injection molding machine for efficient production according to claim 1, characterized in that: The calculation of the degree of adaptation between the barrel temperature and the hydraulic pressure intensity based on the cable production efficiency and the hydraulic pressure intensity includes: For any barrel temperature, select the cable production efficiency corresponding to different hydraulic strengths at the current barrel temperature; Determining a maximum production efficiency among the cable production efficiencies that are greater than a preset efficiency threshold; Based on the ratio between the cable production efficiency and the maximum production efficiency, and the hydraulic intensity, the degree of adaptation between each barrel temperature and the hydraulic intensity is calculated.

8. The method for precise temperature regulation of a vertical injection molding machine for efficient production according to claim 1, characterized in that: The adjusting of the barrel temperature of different hydraulic intensities based on the degree of adaptation includes: For any hydraulic pressure intensity, the barrel temperature corresponding to the maximum adaptation degree is set as the target temperature under the current hydraulic pressure intensity.

9. The method for precise temperature regulation of a vertical injection molding machine for efficient production according to claim 1, characterized in that: After adjusting the barrel temperature of the different hydraulic intensities based on the adaptation degree, the method further includes: Calculating the hydraulic strength adjustment interval at different barrel temperatures based on the change trend between the barrel temperature and the hydraulic strength; The hydraulic intensity of the current barrel temperature is adjusted based on the hydraulic intensity adjustment interval and the preset reference hydraulic intensity.

10. The method for precise temperature regulation of a vertical injection molding machine for efficient production according to claim 9, characterized in that: The calculating of the hydraulic strength adjustment interval at different barrel temperatures based on the variation trend between the barrel temperature and the hydraulic strength includes: Establishing a change curve between the barrel temperature and the hydraulic strength, and calculating the slope difference between two adjacent points at different temperature measurement points in the change curve; When the slope difference is greater than a preset slope threshold, determining the current temperature measurement point as a hydraulic pressure change turning point; The curve from the hydraulic pressure change turning point to the current temperature measurement point is divided into segments as analysis interval reference segments of the hydraulic pressure intensity at the current temperature measurement point; Calculating a hydraulic interval change degree based on a change duration of the analysis interval reference segment and a difference between a maximum value and a minimum value of the hydraulic intensity; The hydraulic intensity adjustment interval is calculated according to the degree of change of the hydraulic interval.

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