A high-efficiency production vertical injection molding machine temperature precision adjusting method

Abstract

The application discloses a high-efficiency production vertical injection molding machine temperature precise regulation method, relates to the technical field of cable manufacturing, and comprises the following steps: obtaining barrel temperatures of multiple temperature measuring points of an injection molding machine in a cable manufacturing process and hydraulic intensities; based on temperature differences between the barrel temperatures of different temperature measuring points, material distribution unevenness in a mold of the injection molding machine is calculated; based on the material distribution unevenness, a cooling time length corresponding to the mold and a material injection rate, corresponding cable production efficiencies of the mold under each barrel temperature and corresponding hydraulic intensities are calculated; based on the cable production efficiencies and the hydraulic intensities, an adaptation degree of each barrel temperature and the hydraulic intensities is calculated; and based on the adaptation degree, barrel temperatures of different hydraulic intensities are adjusted. The application achieves the technical effect of precisely controlling the temperature of material injected into the mold.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of cable manufacturing, in particular to a temperature precise adjustment method of a vertical injection molding machine for efficient production. BACKGROUND

[0002] When a flexible cable is manufactured by using a vertical injection molding machine, the precise correspondence between the barrel temperature and the hydraulic pressure is crucial, which directly determines the uniformity and fluidity of the material melting state. If the barrel temperature is too high, the material may be decomposed or carbonized, and if the temperature is insufficient, the plasticizing effect will be affected.

[0003] In the related art, the hydraulic pressure is uniformly increased or decreased according to the correspondence between the known barrel temperature and the hydraulic pressure, so as to control the temperature. Since the change of the barrel temperature and the change of the hydraulic pressure in the barrel do not correspond linearly, this method is not accurate enough for the judgment of the hydraulic pressure suitable for different barrel temperatures, which leads to the inability to precisely control the temperature of the material injected into the mold. SUMMARY

[0004] The main purpose of the present application is to provide a temperature precise adjustment method of a vertical injection molding machine for efficient production, which aims to solve the technical problem that in the related art, according to the correspondence between the known barrel temperature and the hydraulic pressure, since the change of the barrel temperature and the change of the hydraulic pressure in the barrel do not correspond linearly, the temperature of the material injected into the mold cannot be precisely controlled.

[0005] To achieve the above-mentioned purpose, the embodiments of the present application provide a temperature precise adjustment method of a vertical injection molding machine for efficient production, comprising:

[0006] obtaining the barrel temperature of a plurality of temperature measuring points of the injection molding machine and the hydraulic pressure in the cable manufacturing process;

[0007] based on the temperature difference between the barrel temperatures of different temperature measuring points, calculating the material distribution unevenness in the mold of the injection molding machine;

[0008] based on the material distribution unevenness, the cooling time corresponding to the mold, and the material injection rate, calculating the corresponding cable production efficiency when the mold is at each barrel temperature and the corresponding hydraulic pressure;

[0009] based on the cable production efficiency and the hydraulic pressure, calculating the adaptation degree of each barrel temperature and the hydraulic pressure;

[0010] based on the adaptation degree, adjusting the barrel temperature of different hydraulic pressures.

[0011] In a possible implementation manner of the present application, based on the temperature difference between the barrel temperatures of different temperature measuring points, the material distribution unevenness in the mold of the injection molding machine is calculated, comprising:

[0012] The preset clustering algorithm is used to cluster each temperature measurement point to obtain a plurality of clustering clusters;

[0013] Based on the density characteristics of the clustering clusters, a target attention region in each clustering cluster is extracted;

[0014] Based on the temperature difference between each target attention region, a first material non-uniformity of each target attention region is calculated;

[0015] Based on the temperature difference between each clustering cluster, a second material non-uniformity corresponding to all clustering clusters as a whole is calculated;

[0016] Based on the first material non-uniformity and the second material non-uniformity, a material distribution non-uniformity in the mold of the injection molding machine is calculated.

[0017] In a possible implementation of the present application, based on the density characteristics of the clustering clusters, a target attention region in each clustering cluster is extracted, including:

[0018] The first number of temperature measurement points contained in different clustering clusters and the occupied volume of each clustering cluster are determined;

[0019] Based on the occupied volume and the first number, the density characteristics of each clustering cluster are determined;

[0020] Based on the density characteristics, the attention degree of each clustering cluster is calculated;

[0021] The clustering cluster corresponding to the attention degree greater than a preset attention degree threshold is set as the target attention region.

[0022] In a possible implementation of the present application, based on the temperature difference between each target attention region, a first material non-uniformity of each target attention region is calculated, including:

[0023] For any temperature measurement time point, the first temperature standard deviation of all temperature measurement points in each target attention region and the first temperature difference between the maximum temperature and the minimum temperature corresponding to all temperature measurement points are calculated;

[0024] Based on the first temperature difference and the first temperature standard deviation, the first material non-uniformity of each target attention region is calculated.

[0025] In a possible implementation of the present application, based on the temperature difference between each clustering cluster, a second material non-uniformity corresponding to all clustering clusters as a whole is calculated, including:

[0026] For any temperature measurement time point, the temperature mean value between each temperature measurement point in different clustering 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;

[0027] Based on the second temperature difference and the second temperature standard deviation, a second material non-uniformity corresponding to the entire cluster is calculated.

[0028] In a possible implementation of the present application, based on the material distribution non-uniformity, the cooling time corresponding to the mold, and the material injection rate, a cable production efficiency corresponding to the mold at each barrel temperature and the corresponding hydraulic intensity is calculated, including:

[0029] Obtaining the cooling time of the mold at each barrel temperature and the corresponding hydraulic intensity at the current time, and the material injection rate of the mold;

[0030] Determine the material distribution non-uniformity corresponding to the preset number of temperature measurement time points before the current time, and calculate the first sum value between each material distribution non-uniformity;

[0031] 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 intensity is calculated.

[0032] In a possible implementation of the present application, based on the cable production efficiency and the hydraulic intensity, the adaptation degree of each barrel temperature and the hydraulic intensity is calculated, including:

[0033] For any barrel temperature, select the cable production efficiency corresponding to different hydraulic intensities at the current barrel temperature;

[0034] Determine the maximum production efficiency in the cable production efficiency greater than the preset efficiency threshold;

[0035] Based on the ratio between the cable production efficiency and the maximum production efficiency, and the hydraulic intensity, the adaptation degree of each barrel temperature and the hydraulic intensity is calculated.

[0036] In a possible implementation of the present application, based on the adaptation degree, the barrel temperature of different hydraulic intensities is adjusted, including:

[0037] For any hydraulic intensity, the barrel temperature corresponding to the maximum value of the adaptation degree is set as the target temperature under the current hydraulic intensity.

[0038] In a possible implementation of the present application, after adjusting the barrel temperature of different hydraulic intensities based on the adaptation degree, it further includes:

[0039] Based on the change trend between the barrel temperature and the hydraulic intensity, the hydraulic intensity adjustment interval under different barrel temperatures is calculated;

[0040] Based on the hydraulic intensity adjustment interval and the preset reference hydraulic intensity, the hydraulic intensity of the current barrel temperature is adjusted.

[0041] In a possible implementation of the present application, based on the change trend between the barrel temperature and the hydraulic strength, the hydraulic strength adjustment interval at different barrel temperatures is calculated, including:

[0042] A change curve between the barrel temperature and the hydraulic strength is established, and a slope difference of slopes of adjacent two points in the change curve is calculated;

[0043] When the slope difference is greater than a preset slope threshold, the current temperature measuring point is determined as a hydraulic change turning point;

[0044] The curve segment from the hydraulic change turning point to the current temperature measuring point is segmented as an analysis interval reference segment of the hydraulic strength of the current temperature measuring point;

[0045] Based on the change length of the analysis interval reference segment and the difference between the maximum value and the minimum value of the hydraulic strength, the hydraulic interval change degree is calculated;

[0046] According to the hydraulic interval change degree, the hydraulic strength adjustment interval is calculated.

[0047] The present application provides a high-efficiency production vertical injection molding machine temperature precise regulation method. Compared with the related art, according to the known corresponding relationship between the barrel temperature and the hydraulic strength, since the change of the barrel temperature and the change of the hydraulic strength in the barrel are not linearly corresponding, the temperature of the material injected into the mold cannot be precisely controlled. In the present application, the barrel temperature and the hydraulic strength of multiple temperature measuring points of the injection molding machine in the cable manufacturing process are obtained, the material distribution unevenness in the mold of the injection molding machine is calculated based on the temperature difference between the barrel temperatures of different temperature measuring points, and then the cable production efficiency of the mold under different barrel temperatures and corresponding hydraulic strengths is calculated. Therefore, the adaptation degree of the current barrel temperature and the hydraulic strength can be calculated according to the cable production efficiency and the hydraulic strength. When the cable production efficiency is high, the adaptation degree is high, and vice versa. The adaptation degree 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 DRAWINGS

[0048] Figure 1 A flowchart of a first embodiment of the high-efficiency production vertical injection molding machine temperature precise regulation method of the present application;

[0049] Figure 2 A schematic diagram of an electronic connector structure related to the high-efficiency production vertical injection molding machine temperature precise regulation method of the present application;

[0050] Figure 3 A schematic diagram of a device structure of a hardware running environment related to the embodiment scheme of the present application. DETAILED DESCRIPTION

[0051] It should be understood that the specific embodiments described herein are merely exemplary and do not limit the application.

[0052] The embodiment of the application provides a high-efficiency vertical injection molding machine temperature precise regulation method, in the first embodiment of the high-efficiency vertical injection molding machine temperature precise regulation method, referring to Figure 1 , the method comprises the following steps:

[0053] In step S10, the barrel temperature and the hydraulic strength of a plurality of temperature measuring points of the injection molding machine in the cable manufacturing process are obtained.

[0054] In step S20, the material distribution unevenness in the mold of the injection molding machine is calculated based on the temperature difference between the barrel temperatures of different temperature measuring points.

[0055] In step S30, the corresponding cable production efficiency of the mold under each barrel temperature and the corresponding hydraulic strength is calculated based on the material distribution unevenness, the cooling time corresponding to the mold and the material injection rate.

[0056] In step S40, the adaptation degree of each barrel temperature and the hydraulic strength is calculated based on the cable production efficiency and the hydraulic strength.

[0057] In step S50, the barrel temperature of different hydraulic strengths is adjusted based on the adaptation degree.

[0058] The embodiment aims to: by calculating the corresponding cable production efficiency under different barrel temperatures and corresponding hydraulic strengths, when the cable production efficiency is high, it means that the adaptation degree is high, otherwise, the adaptation degree is low, and then the barrel temperature under each hydraulic strength is adjusted, so as to achieve the technical effect of precisely controlling the temperature of the material injected into the mold.

[0059] The specific steps are as follows:

[0060] In step S10, the barrel temperature and the hydraulic strength of a plurality of temperature measuring points of the injection molding machine in the cable manufacturing process are obtained.

[0061] As an example, the high-efficiency vertical injection molding machine temperature precise regulation method can be applied to a high-efficiency vertical injection molding machine temperature precise regulation device, and the high-efficiency vertical injection molding machine temperature precise regulation device belongs to a high-efficiency vertical injection molding machine temperature precise regulation system, and the high-efficiency vertical injection molding machine temperature precise regulation system belongs to a high-efficiency vertical injection molding machine temperature precise regulation equipment.

[0062] As an example, the temperature precise adjustment method of the high-efficiency vertical injection molding machine can also be applied to the vertical injection molding machine. For the acquisition method of various data below, a servo motor is installed on the injection molding machine, and an injection speed sensor can be installed at the rear end of the servo motor to indirectly calculate the injection speed of the material by detecting the piston displacement or the screw rotation speed. The vertical injection molding machine directly measures the screw position by using magnetostriction or an encoder and feeds back to the control system in real time.

[0063] As an example, the barrel temperature can be measured by a probe-type thermocouple installed at the front end of the nozzle or the screw homogenization section, directly contacting the melt (which needs to be designed to withstand high pressure), and the surface temperature sensor of the mold cavity adopts the principle of symmetric distribution + key area monitoring. There are at least 1-2 measuring points in each cavity, which are arranged near the gate and the end; additional measuring points are added in the thin-walled, corner and other easy heat dissipation areas; the thermocouple is embedded 5-8 mm away from the surface to avoid interference with the molding surface, so as to monitor the temperature at different positions during cable manufacturing.

[0064] As an example, the hydraulic strength can be monitored in real time by installing a pressure sensor in the hydraulic system of the injection molding machine to directly obtain accurate pressure data.

[0065] Step S20, based on the temperature difference between the barrel temperatures of different temperature measuring points, the material distribution uniformity in the mold of the injection molding machine is calculated.

[0066] As an example, the viscosity of the material used in the injection molding of the flexible cable electronic connector, power connector, and cable end sub-packaging of the vertical injection molding machine is different at different temperatures, which will cause the speed of the material injected into the mold at different hydraulic strengths to be different. When the barrel temperature and the hydraulic strength do not match, the material injection rate may be slow, and the material may cool before it fills the mold, resulting in the solidification of the material in some positions, that is, the short shot phenomenon. At this time, the flexible cable has defects and will affect normal use; in order to make the temperature of the material after entering and leaving the mold suitable, the matching degree of the barrel temperature and the hydraulic strength should be judged, and the uniform distribution of the material after injection should be analyzed first.

[0067] Specifically, the structural diagram of the electronic connector is as shown in Figure 2 The direction indicated by the arrow is the corner area.

[0068] As an example, the material distribution uniformity is used to represent the uniform distribution of the material (which can be the material used to make the cable) in the mold. When the temperature difference between each temperature measuring point is larger and the temperature distribution is more scattered, the material distribution is more uneven.

[0069] Among them, step S20 further includes steps S21-S25, including:

[0070] Step S21: Cluster the temperature measurement points using a preset clustering algorithm to obtain multiple clusters.

[0071] As an example, for a 3D model of a vertical injection molding machine for cables, each temperature measuring point is marked. The marked temperature measuring point positions are placed in a 3D coordinate system, and the DBSCAN density clustering algorithm (a density-based clustering algorithm) is used to cluster the temperature measuring points in close proximity to obtain multiple clusters.

[0072] Step S22: Based on the density characteristics of the clusters, extract the target region of interest in each cluster.

[0073] As an example, the target area of ​​concern refers to an area that requires more attention, such as a corner area during cable injection molding or a complex structural area.

[0074] Step S22, which extracts the target region of interest in each cluster based on the density characteristics of the clusters, includes:

[0075] Determine the initial number of temperature measurement points contained in different clusters and the volume occupied by each cluster.

[0076] As an example, consider the number of temperature measurement points n contained in different clusters j. j Statistical analysis was performed to obtain the first quantity, and the volume V occupied by the clusters was calculated. j By performing calculations, the volume occupied by each cluster can be obtained.

[0077] Based on the occupied volume and the first quantity, the density characteristics of each cluster are determined.

[0078] Based on density characteristics, the attention level of each cluster is calculated.

[0079] As an example, density features represent the density of each temperature measurement point in a cluster. The density features are determined by the number and volume of temperature measurement points, and the attention of each cluster is calculated using the density features.

[0080] As an example, when a single cluster contains n temperature measurement points j The more, and the more volume V occupied j The smaller the size, the more likely the cluster is located in a corner or complex structural area during cable injection molding. Therefore, more attention should be paid to the temperature at this location. Thus, based on the occupied volume and the initial quantity, the attention level Q of each cluster is calculated. j The calculation method can be:

[0081] ,

[0082] Where, n jrepresents the first quantity, V j represents the occupied volume.

[0083] The cluster corresponding to the attention degree greater than the preset attention degree threshold is set as a target attention region.

[0084] As an example, before comparing the attention degree of each cluster with the preset attention degree threshold, the calculated attention degree needs to be normalized by maximum and minimum to obtain q j , the value range of which is (0, 1).

[0085] As an example, the preset attention degree threshold can be 0.6, 0.7, etc., and is not limited in particular.

[0086] As an example, taking the preset attention degree threshold as 0.7 for example, when q j > 0.7, it is determined that it is a corner or a complex structure region that needs more attention, that is, a target attention region.

[0087] Step S23, based on the temperature difference between each target attention region, the first material non-uniformity of each target attention region is calculated.

[0088] As an example, when calculating the material non-uniformity in the mold, the overall non-uniformity of the target attention region and the cluster needs to be considered respectively, and the first material non-uniformity calculated here is the material non-uniformity of the target attention region, and the greater the first material non-uniformity, the more uneven the material distribution.

[0089] Wherein, the step S23 of calculating the first material non-uniformity of each target attention region based on the temperature difference between each target attention region comprises:

[0090] For any temperature measurement time point, the first temperature standard deviation of all temperature measurement points in each target attention region and the first temperature difference between the maximum temperature and the minimum temperature corresponding to all temperature measurement points are calculated.

[0091] 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.

[0092] Based on the first temperature difference and the first temperature standard deviation, the first material non-uniformity of each target attention region is calculated.

[0093] As an example, taking the target attention region j for example, when the temperature standard deviation of each temperature measurement point in the target attention region is greater, the difference t between the maximum temperature and the minimum temperature is greater.j The greater the temperature distribution in the larger attention region j is more scattered, the more uneven the material is, and thus the material injection unevenness of the target attention region j at the temperature measurement time point k, i.e., the first material unevenness, the first material unevenness The calculation method can be:

[0094] ,

[0095] Wherein, represents the first temperature standard deviation of the target attention region j, represents the first temperature difference of the target attention region j.

[0096] Step S24, based on the temperature difference between each cluster, the second material unevenness corresponding to all clusters is calculated.

[0097] As an example, after calculating the material unevenness of the target attention region, the material unevenness of all clusters is also calculated, i.e., the second material unevenness.

[0098] Wherein, the step S24 of calculating the second material unevenness corresponding to all clusters based on the temperature difference between each cluster, comprises:

[0099] 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.

[0100] As an example, for a single cluster, a cluster includes multiple temperature measurement points and corresponds to a temperature mean value, the second temperature standard deviation is the temperature standard deviation between the temperature mean values corresponding to different clusters, and there is a maximum temperature and a minimum temperature between each temperature mean value, and the second temperature difference is the difference between the maximum temperature and the minimum temperature.

[0101] Based on the second temperature difference and the second temperature standard deviation, the second material unevenness corresponding to all clusters is calculated.

[0102] As an example, the material injection unevenness of all cluster positions, i.e., the second material unevenness W k , wherein k represents the kth time, the calculation method of the second material unevenness is the same as that of the first material unevenness, which is not repeated here.

[0103] Step S25, based on the first material unevenness and the second material unevenness, the material distribution unevenness in the mold of the injection molding machine is calculated.

[0104] As an example, the material distribution unevenness represents the uniformity of the material distribution in the mold of the injection molding machine, and the greater the value, the greater the unevenness of the distribution.

[0105] As an example, the mean of the first material unevenness corresponding to each target attention region is calculated, denoted as When the material injection unevenness W k is greater, and the mean of the material injection unevenness of the target attention region is greater, the material injection unevenness at the k-th moment is greater, and thus the material distribution unevenness E k in the mold at the k-th moment can be obtained.

[0106] ,

[0107] wherein W k represents the second material unevenness, represents the mean between each first material unevenness, and when E k is greater, the material injection unevenness is greater.

[0108] Step S30, based on the material distribution unevenness, the cooling time corresponding to the mold, and the material injection rate, the cable production efficiency corresponding to each barrel temperature and the corresponding hydraulic intensity of the mold is calculated.

[0109] As an example, after the material distribution unevenness is calculated, the uniformity of the material distribution in the mold after the material injection mold is stabilized and the speed of the injection speed is determined. The cable production efficiency at the current barrel temperature and the corresponding hydraulic intensity, when the cable production efficiency is high, it means that the barrel temperature and the corresponding hydraulic intensity have a high degree of adaptation, otherwise, the degree of adaptation is low.

[0110] wherein the step S30 of calculating the cable production efficiency corresponding to each barrel temperature and the corresponding hydraulic intensity of the mold based on the material distribution unevenness, the cooling time corresponding to the mold, and the material injection rate, comprises:

[0111] Obtain the cooling time of the mold at each barrel temperature and the corresponding hydraulic intensity at the current moment, and the material injection rate of the mold.

[0112] As an example, the cooling time can be the time required for the mold to reach the cooling temperature from the beginning of cooling, and the cooling time can be 10 minutes, 20 minutes, etc., without limitation.

[0113] As an example, the material injection rate can be obtained by installing an injection speed sensor at the rear end of the servo motor of the injection molding machine.

[0114] Determine the material distribution unevenness corresponding to the preset number of temperature measurement time points before the current time, and calculate the first sum value between each material distribution unevenness.

[0115] As an example, the preset number can be 10, and the K (set to 10) temperature detection time points before the time when the entire mold reaches the cooling temperature are calculated, and the injection of the material in the mold at different times, i.e. the material distribution unevenness E k .

[0116] As an example, the first sum value is represented as , k represents the number of temperature detection time points / temperature measurement time points.

[0117] Based on the cooling time, the material injection rate, and the first sum value, the cable production efficiency corresponding to the temperature of each barrel and the corresponding hydraulic intensity is calculated.

[0118] As an example, when the statistical barrel temperature is T and the corresponding hydraulic intensity is p, the rate of material injection is obtained through the injection speed sensor installed at the rear end of the servo motor , where T represents the barrel temperature, and p represents the corresponding hydraulic intensity.

[0119] As an example, when the rate of material injection is faster, the time from the start of cooling to the time when the entire mold reaches the cooling temperature is longer (the amount of injected material is large, and the cooling time is long), and the sum of the material distribution unevenness in the mold for the K (set to 10) temperature detection time points before the time when the entire mold reaches the cooling temperature is smaller, indicating that the amount of material in the mold is larger and more uniform.

[0120] And the faster the speed of simultaneous injection, the current temperature T, and the set hydraulic intensity p can ensure uniform material injection and short injection time, thereby increasing the cable production efficiency.

[0121] As an example, the calculation method of the cable production efficiency when the barrel temperature is T and the corresponding hydraulic intensity is p can be:

[0122] ,

[0123] wherein, represents the material injection rate, represents the cooling time, represents the first sum value, wherein, and have been standardized before calculation. ​

[0124] Step S40: Based on the cable production efficiency and hydraulic strength, calculate the degree of compatibility between the temperature and hydraulic strength of each barrel.

[0125] As an example, to obtain a suitable relationship between hydraulic strength and barrel temperature, while ensuring the temperature during material filling, the consumption of hydraulic strength should also be considered. Therefore, to reduce losses and achieve efficient production, a smaller hydraulic strength should be selected. Furthermore, by considering the cable production efficiency and hydraulic strength, the degree of fit between the temperature and hydraulic strength of each barrel can be calculated. The greater the degree of fit between the temperature and hydraulic strength of any barrel, the higher the production efficiency can be.

[0126] The step S40, which calculates the compatibility between the temperature and hydraulic strength of each barrel based on cable production efficiency and hydraulic strength, includes:

[0127] For any given barrel temperature, select the cable production efficiency corresponding to different hydraulic intensities at the current barrel temperature.

[0128] As an example, the cable production efficiency can be calculated for different barrel temperatures and corresponding hydraulic intensities.

[0129] Determine the maximum production efficiency among the cable production efficiencies that are greater than a preset efficiency threshold.

[0130] As an example, the cable production efficiency at a barrel temperature of T and a corresponding hydraulic strength of p. For example, before comparing with a preset efficiency threshold, first... After normalization, we get .

[0131] As an example, the preset efficiency threshold can be 0.6, 0.7, etc., without any specific limitation.

[0132] As an example, the maximum production efficiency can be greater than a preset efficiency threshold. The maximum value in .

[0133] Based on the ratio between cable production efficiency and maximum production efficiency, as well as hydraulic strength, the degree of compatibility between temperature and hydraulic strength of each barrel is calculated.

[0134] As an example, when the barrel temperature is T, the corresponding cable production efficiency with hydraulic strength p is... Performance The larger the value, and the smaller the corresponding hydraulic strength p, the more resources are saved and the more efficient the production can be. Therefore, the suitability of the hydraulic strength p at a barrel temperature of T can be obtained. The calculation method can be:

[0135] ,

[0136] wherein, is the normalized cable production efficiency, represents the maximum production efficiency, and p represents the hydraulic pressure.

[0137] Step S50, adjusting the barrel temperature of different hydraulic pressures based on the degree of adaptation.

[0138] As an example, according to the different degrees of adaptation between the barrel temperature and the hydraulic pressure, the barrel temperature corresponding to the current hydraulic pressure is determined, and the barrel temperature is adjusted so that the cable production efficiency corresponding to the mold reaches the maximum value.

[0139] wherein, the step S50 of adjusting the barrel temperature of different hydraulic pressures based on the degree of adaptation, comprises:

[0140] For any hydraulic pressure, the barrel temperature corresponding to the maximum degree of adaptation is set as the target temperature under the current hydraulic pressure.

[0141] As an example, for any hydraulic pressure, according to the different degrees of adaptation between the previously calculated barrel temperature and the hydraulic pressure, the maximum degree of adaptation between the current hydraulic pressure and each barrel temperature is determined, the barrel temperature corresponding to the maximum degree of adaptation is set as the target temperature under the current hydraulic pressure, and the current barrel temperature is adjusted by heating or cooling the mold until the target temperature is reached.

[0142] As an example, after calculating the degree of adaptation, the corresponding temperature-hydraulic combination can be generated for several commonly used barrel temperatures or hydraulic pressures, the optimal hydraulic pressure size under different barrel temperatures is transmitted to the database for corresponding storage, the corresponding relationship between the barrel temperature and the hydraulic pressure is obtained by using the SQL query statement, and the visual interface is displayed in the form of a table for reference by the staff in the cable production. The corresponding combination of the barrel temperature and the hydraulic pressure is shown in the following table.

[0143]

[0144] wherein, after the step S50 of adjusting the barrel temperature of different hydraulic pressures based on the degree of adaptation, further comprising:

[0145] Step A1, calculating the hydraulic pressure adjustment interval under different barrel temperatures based on the change trend between the barrel temperature and the hydraulic pressure.

[0146] As an example, in addition to adjusting the barrel temperature according to the hydraulic strength, the hydraulic strength at the same temperature can also be adjusted. For the barrel temperature T which does not know the accurate hydraulic strength, a reference hydraulic strength can be selected first, and after reducing the hydraulic strength by a certain interval, the corresponding hydraulic strength is determined in the hydraulic strength which is high in production efficiency and small in hydraulic strength. The hydraulic strength adjustment interval is the hydraulic interval between two hydraulic adjustment amounts in the process of gradually adjusting the hydraulic strength.

[0147] Wherein, based on the change trend between the barrel temperature and the hydraulic strength, the step A1 of calculating the hydraulic strength adjustment interval at different barrel temperatures comprises:

[0148] Establishing a change curve between the barrel temperature and the hydraulic strength, calculating the slope difference value of the slope of the adjacent two points in the change curve.

[0149] As an example, the change curve is a two-dimensional coordinate change curve graph with the barrel temperature as the horizontal coordinate and the temperature as the positive direction from small to large, and the corresponding hydraulic strength as the vertical coordinate and the hydraulic strength as the positive direction from small to large. In the process of establishing the change curve, the hydraulic strength corresponding to the barrel temperature can be obtained every 10 degrees.

[0150] 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 value is the slope difference value between the slopes of the adjacent two points. When the temperature point is the starting point, the slope difference value is the slope value of the adjacent point on the right. The slope difference value is used to represent the change trend of different temperature points.

[0151] When the slope difference value is greater than the preset slope threshold value, it is determined that the current temperature point is a hydraulic change turning point.

[0152] As an example, after the slope difference value is calculated, the slope difference value is normalized by maximum and minimum, and the normalized slope difference value is compared with the preset slope threshold value.

[0153] As an example, the hydraulic change turning point is used to represent that the change degree of the curve after the point is large, and the change degree of the curve before the point is small, thereby distinguishing the curves at both ends of the point.

[0154] The curve segment from the hydraulic change turning point to the current temperature point is segmented as the analysis interval reference segment of the hydraulic strength of the current temperature point.

[0155] As an example, the curve segment from the hydraulic change turning point closest to the current barrel temperature T to the current barrel temperature T is segmented as the analysis interval reference segment of the hydraulic strength of the barrel temperature T.

[0156] The degree of change in hydraulic interval is calculated based on the duration of the change in the reference segment of the analysis interval and the difference between the maximum and minimum values ​​of hydraulic intensity.

[0157] As an example, taking the barrel temperature T as an example, the analysis uses t to represent the duration of the change in the reference interval. T The difference between the maximum and minimum hydraulic strength is represented by P. T This indicates that when analyzing the change in the reference interval t, the duration is... T The shorter the length, the greater the difference between the maximum and minimum hydraulic strength values, P. T The smaller the value, the smaller the change in hydraulic strength within this reference range, and the shorter the duration of the change. It may be maintained for a longer period of time afterward. The smaller the difference between the appropriate hydraulic strength at barrel temperature T and the appropriate hydraulic strength corresponding to the barrel temperature T' in the previous analysis, the more accurate the obtained hydraulic strength can be. The analysis interval of hydraulic strength can be appropriately reduced.

[0158] Therefore, when the barrel temperature is T, the appropriate hydraulic strength corresponding to the barrel temperature T' analyzed in the previous analysis should be used as the starting reference hydraulic strength when the barrel temperature is T. The interval between each analysis of the hydraulic strength should be reduced (the higher the barrel temperature, the lower the viscosity, and the lower the hydraulic strength used during filling should be).

[0159] As an example, when the barrel temperature is T, the degree of change in hydraulic interval U T The calculation method can be:

[0160] ,

[0161] Among them, t T P represents the duration of change in the reference interval of the analysis. T t represents the difference between the maximum and minimum hydraulic strength. T和 P T Standardization was performed before calculation.

[0162] When the hydraulic interval changes by degree U T The larger the value, the smaller the hydraulic strength adjustment interval.

[0163] The hydraulic strength adjustment interval is calculated based on the degree of change in the hydraulic interval.

[0164] As an example, using max-min normalization on U T Normalization is performed to obtain the normalized variation degree of hydraulic interval u. T Its range is (-1, 1), from which we can obtain the hydraulic intensity interval used when performing a comparative analysis of appropriate hydraulic intensity for the barrel temperature T. B is a preset value, which can be set to 0.02MPa.

[0165] Step A2, adjusting the hydraulic strength of the current barrel temperature based on the interval of the hydraulic strength adjustment and the preset reference hydraulic strength.

[0166] As an example, the preset reference hydraulic strength can be 100 MPa, or 110 MPa, and is not limited in particular.

[0167] As an example, the preset reference hydraulic strength is the reference hydraulic strength for adjusting the hydraulic pressure. For example, when the current temperature is 120 degrees, the preset reference hydraulic strength can be the hydraulic strength corresponding to the barrel temperature of 110 degrees, and then the hydraulic strength is gradually increased or decreased according to the calculated hydraulic strength adjustment interval.

[0168] The present application provides a high-efficiency production vertical injection molding machine temperature precise adjustment method. Compared with the related art, which cannot accurately control the temperature of the material injected into the mold according to the known corresponding relationship between the barrel temperature and the hydraulic strength, in the present application, the barrel temperature and the hydraulic strength of the injection molding machine in the cable manufacturing process are obtained, the material distribution unevenness in the mold of the injection molding machine is calculated based on the temperature difference between the barrel temperatures of different temperature measuring points, and then the cable production efficiency of the mold under different barrel temperatures and corresponding hydraulic strengths is calculated. Thus, the adaptation degree of the current barrel temperature and the hydraulic strength can be calculated according to the cable production efficiency and the hydraulic strength. When the cable production efficiency is high, the adaptation degree is high, and vice versa. 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.

[0169] Referring to Figure 3 , Figure 3 is a device structure diagram of the hardware running environment involved in the embodiment scheme of the present application.

[0170] As Figure 3 shown, the high-efficiency production vertical injection molding machine temperature precise adjustment device can include a processor 1001, a memory 1005, and a communication bus 1002. The communication bus 1002 is used to realize the connection communication between the processor 1001 and the memory 1005.

[0171] Optionally, the high-efficiency production vertical injection molding machine temperature precise regulation device can further 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 can include a display screen (Display), an input sub-module such as a keyboard (Keyboard), and the optional user interface can further include a standard wired interface, a wireless interface. The network interface can include a standard wired interface, a wireless interface (such as a WI-FI interface).

[0172] Those skilled in the art can understand that Figure 3 The structure of the high-efficiency production vertical injection molding machine temperature precise regulation device shown in the above embodiments is not a limitation on the high-efficiency production vertical injection molding machine temperature precise regulation device, and can include more or fewer components than shown, or combine certain components, or different component arrangements.

[0173] As Figure 3 shown, the memory 1005 as a storage medium can include an operating system, a network communication module, and a high-efficiency production vertical injection molding machine temperature precise regulation program. The operating system is a program that manages and controls hardware and software resources of the high-efficiency production vertical injection molding machine temperature precise regulation device, supports the operation of the high-efficiency production vertical injection molding machine temperature precise regulation program and other software and / or programs. The network communication module is used to realize communication between the components inside the memory 1005, and communication with other hardware and software in the high-efficiency production vertical injection molding machine temperature precise regulation system.

[0174] In Figure 3 the high-efficiency production vertical injection molding machine temperature precise regulation device, the processor 1001 is used to execute the high-efficiency production vertical injection molding machine temperature precise regulation program stored in the memory 1005, to realize the steps of any one of the above high-efficiency production vertical injection molding machine temperature precise regulation methods.

[0175] The specific embodiments of the high-efficiency production vertical injection molding machine temperature precise regulation device of the present application are basically the same as the above-mentioned embodiments of the high-efficiency production vertical injection molding machine temperature precise regulation method, and will not be repeated here.

[0176] It should be noted that in this paper, the term "includes", "contains" or any other variant thereof is intended to cover non-exclusive inclusion, so that the process, method, article or system including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or system. Without more limitations, the element defined by the statement "includes a" does not exclude the presence of another identical element in the process, method, article or system including the element.

[0177] 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.

[0178] 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 the necessary general hardware platform, 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 in essence or in the form of a part of the prior art. The computer software product is stored in a storage medium such as a ROM / RAM, a magnetic disk, or an optical disk, and includes a plurality 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 the various embodiments of the present application.

[0179] The above is only the preferred embodiment of the present application, and does not limit the application scope of the present application. Any equivalent structure or equivalent process transformation, or direct or indirect application in other related technical fields, is also included in the application protection scope of the present application.

[0180] 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.

[0181] Each of the embodiments in the 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 precise temperature adjustment of a high-efficiency production vertical injection molding machine, characterized in that, The method comprises: obtaining barrel temperatures and hydraulic intensities of multiple temperature measuring points of an injection molding machine in a cable manufacturing process; calculating material distribution unevenness in a mold of the injection molding machine based on temperature differences between the barrel temperatures of different temperature measuring points; calculating corresponding cable production efficiencies of the mold at each of the barrel temperatures and corresponding hydraulic intensities based on the material distribution unevenness, a cooling time corresponding to the mold, and a material injection rate; calculating an adaptation degree of each of the barrel temperatures and the hydraulic intensities based on the cable production efficiencies and the hydraulic intensities; adjusting barrel temperatures of different hydraulic intensities based on the adaptation degree; The calculation of the material distribution unevenness in the mold of the injection molding machine based on the temperature differences between the barrel temperatures of different temperature measuring points comprises: performing clustering processing on each temperature measuring point through a preset clustering algorithm to obtain multiple clustering clusters; extracting target attention areas in each of the clustering clusters based on density features of the clustering clusters; calculating first material unevenness of each of the target attention areas based on temperature differences between the target attention areas; calculating second material unevenness corresponding to all of the clustering clusters as a whole based on temperature differences between the clustering clusters; calculating the material distribution unevenness in the mold of the injection molding machine based on the first material unevenness and the second material unevenness. The extraction of the target attention areas in each of the clustering clusters comprises: determining a first number of temperature measuring points included in different clustering clusters and an occupied volume of each of the clustering clusters; determining density features of each of the clustering clusters based on the occupied volume and the first number; calculating attention degrees of each of the clustering clusters based on the density features; setting a clustering cluster corresponding to an attention degree greater than a preset attention degree threshold as a target attention area.

2. The method for precise temperature control of a vertical injection molding machine for high-efficiency production as described in claim 1, characterized in that, The calculation of the first material unevenness of each of the target attention areas based on the temperature differences between the target attention areas comprises: for any temperature measuring time point, calculating a first temperature standard deviation of all temperature measuring points in each of the target attention areas, and a first temperature difference between a maximum temperature and a minimum temperature corresponding to all of the temperature measuring points; calculating the first material unevenness of each of the target attention areas based on the first temperature difference and the first temperature standard deviation.

3. The method of claim 1, wherein the temperature of the high- efficiency production vertical injection molding machine is precisely adjusted by using a temperature sensor and a temperature controller. The calculation of the second material unevenness corresponding to all of the clustering clusters as a whole based on the temperature differences between the clustering clusters comprises: for any temperature measuring time point, determining temperature means between each of the temperature measuring points in different clustering clusters, a second temperature standard deviation between each of the temperature means, and a second temperature difference between a maximum temperature and a minimum temperature of each of the temperature means; calculating the second material unevenness corresponding to all of the clustering clusters as a whole based on the second temperature difference and the second temperature standard deviation.

4. The method of claim 1, wherein the temperature of the high- efficiency production vertical injection molding machine is precisely adjusted by using a temperature sensor and a temperature controller. The calculation of the corresponding cable production efficiencies of the mold at each of the barrel temperatures and corresponding hydraulic intensities based on the material distribution unevenness, a cooling time corresponding to the mold, and a material injection rate comprises: obtaining a cooling duration of the mold at each barrel temperature and corresponding hydraulic strength at the current time, and a material injection rate of the mold; determining material distribution unevennesses corresponding to a preset number of temperature measurement time points before the current time, and calculating a first sum value between each of the material distribution unevennesses; based on the cooling duration, the material injection rate, and the first sum value, calculating a cable production efficiency corresponding to the mold at each barrel temperature and corresponding hydraulic strength.

5. The method of claim 1, wherein the temperature of the high- efficiency production vertical injection molding machine is precisely adjusted by using a temperature sensor and a temperature controller. 5 based on the cable production efficiency and the hydraulic strength, calculating an adaptation degree of each barrel temperature and the hydraulic strength, including: for any barrel temperature, selecting a cable production efficiency corresponding to different hydraulic strengths at the current barrel temperature; determining a maximum production efficiency in the cable production efficiency greater than a preset efficiency threshold; based on a ratio between the cable production efficiency and the maximum production efficiency, and the hydraulic strength, calculating an adaptation degree of each barrel temperature and the hydraulic strength.

6. The method of precision temperature control for high performance production of a vertical injection molding machine of claim 1, wherein, based on the adaptation degree, adjusting the barrel temperature for different hydraulic strengths, including: for any hydraulic strength, setting a barrel temperature corresponding to a maximum value of the adaptation degree as a target temperature under the current hydraulic strength.

7. The method for precise temperature control of a vertical injection molding machine for high-efficiency production as described in claim 1, characterized in that, after adjusting the barrel temperature for different hydraulic strengths based on the adaptation degree, further including: based on a change trend between the barrel temperature and the hydraulic strength, calculating a hydraulic strength adjustment interval under different barrel temperatures; based on the hydraulic strength adjustment interval and a preset reference hydraulic strength, adjusting the hydraulic strength under the current barrel temperature.

8. The method of claim 7, wherein the temperature of the high- efficiency production vertical injection molding machine is precisely adjusted by using a temperature sensor and a temperature controller. based on the change trend between the barrel temperature and the hydraulic strength, calculating a hydraulic strength adjustment interval under different barrel temperatures, including: establishing a change curve between the barrel temperature and the hydraulic strength, calculating a slope difference value of slopes of adjacent two points in the change curve; when the slope difference value is greater than a preset slope threshold, determining a current temperature measurement point as a hydraulic change turning point; segmenting a curve from the hydraulic change turning point to the current temperature measurement point as an analysis interval reference segment of the hydraulic strength of the current temperature measurement point; based on a change duration of the analysis interval reference segment and a difference value between a maximum value and a minimum value of the hydraulic strength, calculating a hydraulic interval change degree; according to the hydraulic interval change degree, calculating a hydraulic strength adjustment interval.

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