An intelligent control and regulation system for a high-gloss injection mold temperature controller

By introducing an intelligent control and control system into a high-gloss injection mold temperature machine, combining pre-material defect detection and injection mold insert replacement, and adjusting injection temperature and pressure, the problem of difficulty in differentiating pre-set operating parameters in the existing technology is solved, and the stable improvement of product quality and intelligent development of injection mold production is achieved.

CN119427690BActive Publication Date: 2025-06-13WUXI DONGCHENG PLASTIC & HARDWARE CO LTD
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Patent Information

Application Number
CN202411460670.1
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-10-18
Publication Date
2025-06-13
Estimated Expiration
2044-10-18

AI Technical Summary

Technical Problem

In the prior art, it is difficult to differentiate and preset operating parameters according to the performance differences and defect state of the pre-material during injection molding, resulting in fluctuations in product quality. At the same time, the prior art lacks operation data pairing detection for multiple defect categories when regulating operation data, which limits the control and control accuracy of operating parameters.

Method used

An intelligent control and control system for high-gloss injection mold temperature machine is proposed, including a high-gloss injection molding target replacement module, a pre-material attribute detection module, an operation abnormality evaluation module and a pre-operation data control module. The system analyzes the defect detection of pre-materials and analyzes the replacement of injection mold inserts, and adjusts the injection temperature and injection pressure operation data in a timely manner according to the detection results to ensure that the product quality produced in each injection molding is consistent.

Benefits of technology

By performing defect detection and precise control of pre-materials, pre-material defects can be avoided from being amplified during injection molding, reducing the occurrence of defects, improving product quality, and promoting the development of injection molding production towards intelligence and automation.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present invention belongs to the technical field of data regulation and control of high-gloss injection mold temperature machines, and specifically discloses an intelligent control and regulation system for high-gloss injection mold temperature machines, including: by identifying whether the injection mold inserts are replaced and detecting defects in the pre-materials, and presetting the operation data of the high-gloss injection mold temperature machine, it is possible to prevent the defects in the pre-materials from being amplified during the injection process; by identifying the corresponding paired defect parameters of the operation data, the specific operation parameters causing the defects can be accurately identified, so as to specifically correct the preset operation data for the next operation of the high-gloss injection mold temperature machine, which helps to reduce the generation of defects, ensure that the product quality of each injection production remains consistent, and reduce the differences between products; by identifying the deviation trend of the operation parameters of the high-gloss injection target and determining the regulation trend of the preset operation data, it can provide a scientific basis for decision-makers, enabling them to make more accurate and reasonable decisions.
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Description

Technical Field

[0001] The present invention belongs to the technical field of data regulation of high-gloss injection mold temperature machines, and relates to an intelligent control and regulation system for high-gloss injection mold temperature machines. Background Art

[0002] Injection molding is an important plastic processing method, which has the advantages of high production efficiency, high product precision, low production cost, etc., and is widely used in fields such as automobiles, electronics, and medical care. During the injection molding process, the control of operating parameters such as mold temperature and pressure has a decisive impact on product quality. With the continuous expansion of the application fields of injection molded products, the mold structure has become gradually complex, and the mold volume, cavity structure, etc. have brought greater challenges to parameter control. In response to these problems, the invention of an intelligent control and regulation system for high-gloss injection mold temperature machines has emerged.

[0003] In the prior art, there are also some related solutions involving the regulation of operating data of injection molded products. For example, the patent with the Chinese patent publication number CN116100772A discloses an anti-overheating protection method and protection system for an injection molding machine, which obtains the temperature information and pressure data inside the injection pipe through a temperature acquisition module, processes the temperature information to obtain the coefficient temperature inside the injection pipe, compares the coefficient temperature threshold with the coefficient temperature inside the injection pipe, and obtains the regulation information for high-temperature warning and the regulation information for normal temperature. When a regulation information for high-temperature warning appears inside the injection pipe, the heat absorption coefficient of the material is obtained in combination with the pressure data inside the injection pipe, and when the heat absorption coefficient of the material is abnormal, at this time, the heat on the injection pipe is absorbed by a cooling component, which can avoid the overheating of the injection barrel of the injection molding machine and greatly reduce the phenomenon of material caking inside the injection pipe.

[0004] Although the above solution proposes some solutions for the regulation of operating data of injection molded products, there are still the following limitations: 1. When presetting the operating parameters of injection molding in the prior art, most of them are fixed values, lacking differential presetting according to the pre-material and its defect state before entering the mold. The performance differences and defect states of the pre-material have an important impact on the quality of injection molded products. If the injection operating parameters cannot be differentially preset according to the actual situation of the pre-material, the quality of the products produced may fluctuate. For example, when the humidity of the pre-material is relatively high, if parameters such as injection temperature and pressure remain unchanged, it may cause defects such as shrinkage and bubbles in the products.

[0005] 2. When adjusting the operating data in the prior art, most of them are based on the overall deviation state of the injection molded product for overall regulation and identification, without performing operation data pairing detection for multiple defect categories of the injection molded product, which limits the control and regulation accuracy of the corresponding operating parameters of the injection molded product. Summary of the Invention

[0006] In view of this, to solve the problems raised in the above background technology, a high-gloss injection mold temperature control and regulation system is proposed.

[0007] The object of the present invention can be achieved by the following technical solutions: The present invention provides a high-gloss injection mold temperature control and regulation system, which includes: a high-gloss injection target determination module for obtaining the process requirements of the high-gloss injection target and identifying whether to replace the injection mold insert.

[0008] A pre-material property detection module for detecting defects in the pre-material and, in combination with the replaced injection mold insert, presetting the operating data of the high-gloss injection mold temperature control machine, including injection temperature and injection pressure.

[0009] An operation anomaly feature evaluation module for obtaining the corresponding paired defect parameters of the operating data of the high-gloss injection target and identifying the corresponding paired defect parameters of the operating data.

[0010] A pre-operation data regulation module for correcting the preset operating data of the next operation of the high-gloss injection mold temperature control machine based on the corresponding paired defect parameters of the operating data of the high-gloss injection target.

[0011] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) By detecting defects in the pre-material, the present invention can timely discover potential problems in the pre-material such as impurities and bubbles, and based on this, preset the operating data of the high-gloss injection mold temperature control machine, which can avoid the magnification of pre-material defects during the injection process and thus affect the quality of the final product.

[0012] (2) By identifying the corresponding paired defect parameters of the operating data, the present invention can accurately identify the specific operating parameters that cause defects, thereby specifically correcting the preset operating data of the next operation of the high-gloss injection mold temperature control machine, which helps to reduce the generation of defects and improve the product quality. Moreover, the corrected preset operating data can more accurately reflect the influence of different defect types on the injection process, thereby ensuring that the product quality of each injection production remains consistent and reducing the differences between products.

[0013] (3) By identifying the deviation trend of the operating parameters of the high-gloss injection target and then determining the regulation trend of the preset operating data, the present invention can provide a scientific basis for decision-makers, enabling them to make more accurate and reasonable decisions. At the same time, combining defect identification, parameter adjustment with intelligent technology can promote the development of injection production towards a more intelligent and automated direction. Description of the Drawings

[0014] To more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the accompanying drawings required for the description of the embodiments. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can be obtained based on these drawings.

[0015] Figure 1 It is a schematic diagram of the connection of the system modules of the present invention. Specific embodiments

[0016] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present invention.

[0017] Please refer to Figure 1 As shown, the present invention provides an intelligent control and regulation system for a high-gloss injection mold temperature controller. The system includes: a high-gloss injection target setting module, a pre-material property detection module, an operation anomaly feature evaluation module, and a pre-operation data regulation module.

[0018] The high-gloss injection target setting module is connected to the pre-material property detection module, the pre-material property detection module is connected to the operation anomaly feature evaluation module, and the operation anomaly feature evaluation module is connected to the pre-operation data regulation module.

[0019] The high-gloss injection target setting module is used to obtain the process requirements of the high-gloss injection target and identify whether to replace the injection mold insert.

[0020] The injection mold insert of the high-gloss injection mold temperature controller refers to the part used to process the inner cavity shape in the injection mold, which helps to process more precise products.

[0021] In a preferred embodiment, the content of identifying whether to replace the mold insert includes: obtaining the process requirements of the high-gloss injection target, including shape and size, high-gloss requirements, and material properties, comparing them with the process requirements of the previous high-gloss injection target, identifying whether the process requirements have changed, and when the process requirements change, matching the process requirements of the high-gloss injection target with the corresponding process requirements of each injection mold insert to determine the injection mold insert to be replaced for the high-gloss injection target, and then replacing the injection mold insert.

[0022] The material properties include thermoplasticity and thermosetting.

[0023] The pre-material property detection module is used to perform defect detection on the pre-material, and in combination with the replaced injection mold insert, preset the operating data of the high-light injection mold temperature controller, including injection temperature and injection pressure.

[0024] In a preferred embodiment, the defect detection of the pre-material includes: obtaining the corresponding moisture content, particle distribution content, and bubble pore distribution content of the pre-material of the highlight injection molding target by infrared reflection method, comparing them with the preset benchmark moisture content, benchmark particle distribution content, and benchmark bubble pore distribution content, and then multiplying them to obtain the corresponding defect coefficient Dc of the pre-material of the highlight injection molding target.

[0025] The pre-material refers to the plastic melt before entering the mold.

[0026] The infrared reflection method uses the principle that infrared rays penetrate different components in the pre-material and have different infrared reflectivity to measure the content of corresponding moisture, particle distribution, and bubble pore distribution of the pre-material.

[0027] In a further preferred embodiment, the preset operation data of the high-gloss injection mold temperature controller includes: obtaining the corresponding cavity structure contour of the replaced injection mold insert, extracting the number of flow channel branches N and the gate layout area S of each flow channel branch in the cavity structure contour j and flow channel length L j , analyze the mold flow channel complexity coefficient Where S 0 , L 0 They represent the preset reference gate layout area and reference runner length respectively, j represents the number of the runner branch, j=1,2,…,a.

[0028] The material properties are extracted from the process requirements of the high-gloss injection molding target and the sensitivity coefficient γ of the operating parameters is analyzed.

[0029] Get the reset injection temperature R of the Gaoguang injection molding temperature controller temp , reset injection pressure R pres , based on which the injection temperature of the high-gloss injection molding temperature controller is preset Injection pressure

[0030] Specifically, the corresponding cavity structure of the injection mold insert will increase the flow resistance of the melt in the mold. If the cavity structure is complex or small in size, the melt will need to overcome greater resistance during the flow process, resulting in uneven heat transfer in the mold; if the cavity structure is uneven or has sudden changes, it may cause uneven distribution of injection pressure in the mold, resulting in defects such as stress concentration or warping, and at the same time, it may cause poor melt flow or dead corners, thus affecting the selection of injection temperature and the molding effect of injection molded parts.

[0031] In a further preferred embodiment, the sensitivity coefficient of the analysis operation parameters includes: extracting the material properties from the process requirements of the high-gloss injection molding target, extracting the preset melting point and viscous flow temperature of the corresponding material properties of the pre-material of the high-gloss injection molding target, constructing a measure of the pre-material properties of the high-gloss injection molding target, and matching it with the preset heat-sensitive weights of the respective material property measures to obtain the pre-material heat-sensitive weight A of the high-gloss injection molding target.

[0032] The melting point is the critical temperature at which the pre-material changes from a solid state to a liquid state.

[0033] The viscous flow temperature is the temperature at which the pre-material begins to exhibit significant fluidity.

[0034] Obtain the pre-material operation record of the high-gloss injection molding target, and extract the corresponding melt temperature M of the pre-material of the high-gloss injection molding target temp , and further obtain the corresponding preset coordination weight B of the melt temperature of the high-gloss injection molding mold temperature machine in the reset operation parameter state.

[0035] The pre-material operation record of the high-gloss injection molding target refers to the record of the steps and parameters of the fusion operation of various raw materials.

[0036] The corresponding melt temperature of the pre-material refers to the state temperature of the pre-material before entering the mold.

[0037] Extract the corresponding raw material types and product thicknesses of the pre-material from the pre-material operation record of the high-gloss injection molding target, and combine the corresponding preset mold strength of the replaced injection mold insert to determine the basic curing duration τ of the pre-material and the adjustment factor of the basic curing time

[0038] The mold strength here mainly refers to the rigidity and heat conduction performance of the mold.

[0039] Specifically, the method for determining the basic curing duration of the pre-material is: obtaining the recommended curing conditions (such as temperature, time) of the corresponding raw material types of the pre-material, and comparing them with the preset basic curing durations of the respective recommended curing conditions to determine the basic curing duration of the pre-material.

[0040] The method for determining the adjustment factor of the basic curing time is: multiplying the corresponding product thickness of the pre-material and the corresponding preset mold strength of the injection mold insert by the corresponding curing time influence rate of the unit product thickness and unit mold strength, obtaining the curing time influence rate of the product thickness and mold strength, and summing to obtain the adjustment factor of the basic curing time.

[0041] Analyze the sensitivity coefficient of the corresponding operation parameters of the high-gloss injection molding target where M' temprepresents a preset reference melt temperature, and C represents a set constant.

[0042] By identifying whether the injection mold insert is replaced and detecting defects in the prepolymer, the present invention can timely discover potential problems in the prepolymer such as impurities and bubbles, and preset the operation data of the high-gloss injection mold temperature controller accordingly, which can avoid the magnification of prepolymer defects during the injection process and thus affect the quality of the final product.

[0043] The operation anomaly feature evaluation module is used to obtain the defect parameters paired with the operation data of the high-gloss injection target and identify the defect parameters paired with the operation data.

[0044] In a preferred embodiment, the defect parameters paired with the operation data of the high-gloss injection target specifically include the defect parameters paired with the injection temperature and the defect parameters paired with the injection pressure.

[0045] The defect parameters paired with the injection temperature include the defect parameters paired with overheat and the defect parameters paired with underheat.

[0046] The defect parameters paired with the injection temperature include the defect parameters paired with overheat and the defect parameters paired with underheat for high-gloss injection targets with thermoplastic and thermosetting material properties.

[0047] The defect parameters paired with the injection pressure include the defect parameters paired with overpressure and the defect parameters paired with underpressure.

[0048] In a further preferred embodiment, the identification of the defect parameters paired with the operation data includes: obtaining the material property from the process requirements of the high-gloss injection target, where the material property includes thermoplastic and thermosetting. When the material property of the high-gloss injection target is thermoplastic, obtaining the corresponding apparent profile of the high-gloss injection target and comparing it with the corresponding standard profile of the high-gloss injection target to detect the defect parameters paired with overheat of the thermoplastic high-gloss injection target, including blister measurement, flash measurement, and swelling measurement, taking the ratio of them to the preset reference measurement of the corresponding defect parameters of overheat, and then summing the ratios to calculate the overheat level H of the thermoplastic high-gloss injection target over ; also detecting the defect parameters paired with underheat of the thermoplastic high-gloss injection target, including weld mark measurement, surface erosion measurement, and short shot measurement, taking the ratio of them to the preset reference measurement of the corresponding defect parameters of underheat, and then summing the ratios to calculate the underheat level H of the thermoplastic high-gloss injection target poor .

[0049] The paste spot measurement refers to the area of dark black streaks or black spots generated by the thermal decomposition of the high-gloss injection molding target due to excessive melt temperature. The flash measurement refers to the volume of the melt that flows into the mold gap due to excessive fluidity caused by excessive melt temperature. The expansion measurement refers to the dimensional volume of the mold cavity expansion caused by excessive melt temperature.

[0050] The weld line measurement refers to the length of the flow marks on the surface of the high-gloss injection molding target due to insufficient temperature, resulting in unevenness. The surface turbidity measurement refers to the area of the region on the surface of the high-gloss injection molding target that presents a dull, whitish, or turbid appearance. The short shot measurement refers to the missing volume of the high-gloss injection molding target.

[0051] When the material property of the high-gloss injection molding target is thermosetting, the corresponding apparent contour of the high-gloss injection molding target is compared with the corresponding standard contour to detect the corresponding paired defect parameters of overheating of the thermosetting high-gloss injection molding target, including over-curing measurement, paste spot measurement, and expansion measurement. The ratio of these to the preset reference measurement of the corresponding defect parameters of overheating is calculated, and then the ratios are summed to calculate the overheating level H' of the thermosetting high-gloss injection molding target over ; The corresponding paired defect parameters of underheating of the thermosetting high-gloss injection molding target are also detected, including under-curing measurement, weld line measurement, and short shot measurement. The ratio of these to the preset reference measurement of the corresponding defect parameters of underheating is calculated, and then the ratios are summed to calculate the underheating level H' of the thermosetting high-gloss injection molding target poor .

[0052] The over-curing measurement refers to the degree of increased brittleness of the plastic part caused by over-curing of the thermosetting material at too high a temperature, which is obtained by performing a hardness test on the high-gloss injection molding target using a hardness tester, such as a Brinell hardness tester or a Rockwell hardness tester.

[0053] In a further preferred embodiment, the identification of the corresponding paired defect parameters of the operation data further includes: comparing the corresponding apparent contour of the high-gloss injection molding target with the corresponding standard contour to detect the corresponding paired defect parameters of overpressure of the high-gloss injection molding target, including flash measurement and warpage deformation measurement. The ratio of these to the preset reference measurement of the corresponding defect parameters of overpressure is calculated, and then the ratios are summed to calculate the overpressure level F of the high-gloss injection molding target over ; The corresponding paired defect parameters of underpressure of the high-gloss injection molding target are also detected, including weld line measurement and short shot measurement. The ratio of these to the preset reference measurement of the corresponding defect parameters of underpressure is calculated, and then the ratios are summed to calculate the underpressure level F of the high-gloss injection molding target poor .

[0054] The warpage deformation measurement refers to the volume of the warpage deformation generated after demolding of the high-gloss injection molding target due to excessive injection pressure, which causes the melt to be under excessive pressure in the mold.

[0055] The pre - operation data regulation module is used to pair defect parameters corresponding to the operation data of the high - gloss injection molding target, and correct the preset operation data for the next operation of the high - gloss injection molding temperature controller.

[0056] In a preferred embodiment, correcting the preset operation data for the next operation of the high - gloss injection molding temperature controller includes: determining the corresponding deviation index of the injection temperature based on the identification result of pairing defect parameters with the operation data. In the formula, q1 and q2 respectively represent that the material properties of the high - gloss injection molding target are thermoplastic and thermosetting, and determine the corresponding deviation index of the injection pressure.

[0057] Identify that the injection molding quality inferiority degree η of the high - gloss injection molding target = max(η temp , η pres ), compare it with the baseline value of the preset injection molding quality inferiority degree. If it exceeds the baseline value of the preset injection molding quality inferiority degree, then confirm the waste product type based on the material property of the high - gloss injection molding target. Specifically, if the material property of the high - gloss injection molding target is thermoplastic, then confirm its waste product type as rework material, and record the process correction factor of the next operation parameter of the high - gloss injection molding target as δ′; otherwise, confirm it as discarded material, and record the process correction factor of the next operation parameter of the high - gloss injection molding target as δ″.

[0058] Obtain the process correction factor δ of the next operation parameter of the high - gloss injection molding target, δ = δ′ or δ″ and δ′ < δ″, and determine the corresponding correction requirement index of the preset operation data of the high - gloss injection molding temperature controller. η′ represents the baseline value of the preset injection molding quality inferiority degree, and obtain the deviation trend of the operation parameters of the high - gloss injection molding target, and determine the regulation trend of the preset operation data. The regulation trend includes up - regulation and down - regulation.

[0059] By identifying the pairing of operation data with defect parameters, the present invention can accurately identify the specific operation parameters that cause defects, thereby specifically correcting the preset operation data for the next operation of the high - gloss injection molding temperature controller, which helps to reduce the generation of defects and improve product quality. Moreover, the corrected preset operation data can more accurately reflect the influence of different defect types on the injection molding process, thus ensuring that the product quality of each injection molding production remains consistent and reducing the differences between products.

[0060] In a further preferred embodiment, the specific method for determining the regulation trend of the preset operation data is: compare the heat overflow level and heat deficiency level of the thermoplastic high - gloss injection molding target. If then set the temperature deviation trend of the thermoplastic high - gloss injection molding target as the heat overflow trend. If The temperature deviation trend of the thermoplastic high-gloss injection molding target is defined as the lean heat trend, and based on this, the temperature deviation trend of the thermoplastic high-gloss injection molding target is identified, including the overheat trend and the lean heat trend.

[0061] According to the method for identifying the temperature deviation trend of the thermoplastic high-gloss injection molding target, the temperature deviation trend of the thermosetting high-gloss injection molding target is similarly identified, and the pressure deviation trend of the high-gloss injection molding target is similarly identified.

[0062] When the temperature deviation trend of the thermoplastic or thermosetting high-gloss injection molding target is the overheat trend, it is determined that the regulation trend of the corresponding injection temperature of the preset operation data is downward. When the temperature deviation trend of the thermoplastic high-gloss injection molding target is the lean heat trend, it is determined that the regulation trend of the corresponding injection temperature of the preset operation data is upward. Furthermore, the regulation trend of the corresponding injection pressure of the preset operation data is determined in this way.

[0063] By identifying the deviation trend of the operation parameters of the high-gloss injection molding target and then determining the regulation trend of the preset operation data, the present invention can provide a scientific basis for decision-makers, enabling them to make more accurate and reasonable decisions. At the same time, combining defect identification, parameter adjustment with intelligent technology can promote the development of injection molding production towards a more intelligent and automated direction.

[0064] The above content is only an example and explanation of the concept of the present invention. Those skilled in the art of this technology can make various modifications or supplements to the described specific embodiments or use similar methods to replace them. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they should fall within the protection scope of the present invention.

Claims

1. A high-gloss injection molding mold temperature controller intelligent control and regulation system, characterized in that: The system includes: High-gloss injection molding target replacement module is used to obtain the process requirements of high-gloss injection molding targets and identify whether to replace the injection mold inserts; The pre-material property detection module is used to detect defects in the pre-material and preset the operating data of the high-gloss injection mold temperature controller, including injection temperature and injection pressure, based on the replaced injection mold inserts; The operation abnormality feature evaluation module is used to obtain the corresponding paired defect parameters of the operation data of the highlight injection molding target, including the corresponding paired defect parameters of the injection temperature and the corresponding paired defect parameters of the injection pressure; and to identify the corresponding paired defect parameters of the operation data; The pre-operation data control module is used to pair defect parameters according to the operation data of the high-light injection molding target, and correct the preset operation data of the high-light injection molding mold temperature controller for the next operation; The defect detection of the pre-material includes: obtaining the corresponding moisture content, particle distribution content, and bubble pore distribution content of the pre-material of the high-gloss injection molding target by infrared reflection method, comparing them with the preset reference moisture content, reference particle distribution content, and reference bubble pore distribution content, and then multiplying them to obtain the corresponding defect coefficient of the pre-material of the high-gloss injection molding target ; The injection temperature corresponding pairing defect parameters include overflow heat corresponding pairing defect parameters and poor heat corresponding pairing defect parameters; The injection pressure corresponding pairing defect parameters include overflow pressure corresponding pairing defect parameters and lean pressure corresponding pairing defect parameters; The identification of the corresponding paired defect parameters of the operation data includes: obtaining material properties from the process requirements of the highlight injection molding target, the material properties include thermoplasticity and thermosetting, when the material property of the highlight injection molding target is thermoplasticity, obtaining the corresponding apparent contour of the highlight injection molding target, comparing it with the corresponding standard contour of the highlight injection molding target, detecting the corresponding paired defect parameters of the overflow of the thermoplastic highlight injection molding target, including the measurement of the burn spot, the overflow measurement, and the expansion measurement, and calculating the overflow level of the thermoplastic highlight injection molding target ; It also detects the corresponding paired defect parameters of the thermoplastic high-gloss injection molding target, including weld mark measurement, surface erosion measurement, glue deficiency measurement, and calculates the low-heat level of the thermoplastic high-gloss injection molding target ; When the material property of the highlight molding target is thermosetting, the corresponding apparent contour of the highlight molding target is compared with the corresponding standard contour of the highlight molding target, the corresponding matching defect parameters of the heat overflow of the thermosetting highlight molding target are detected, and the heat overflow level of the thermosetting highlight molding target is calculated. ; It also detects the corresponding paired defect parameters of the thermosetting high-gloss injection molding target and calculates the low-heat level of the thermosetting high-gloss injection molding target .

2. According to claim 1, a high-gloss injection molding mold temperature controller intelligent control and regulation system is characterized in that: The identification of whether to replace the mold insert includes: obtaining the process requirements of the highlight injection molding target, comparing it with the process requirements of the previous highlight injection molding target, identifying whether its process requirements have changed, and when its process requirements have changed, matching the process requirements of the highlight injection molding target with the corresponding process requirements of each preset injection mold insert, determining the replacement insert of the injection mold of the highlight injection molding target, and then replacing the injection mold insert.

3. According to claim 1, a high-gloss injection molding mold temperature controller intelligent control and regulation system is characterized in that: The preset operation data of the high-gloss injection molding mold temperature controller includes: Obtain the corresponding cavity structure contour of the replaced injection mold insert and extract the number of runner branches in the cavity structure contour And the gate layout area of ​​each runner branch and flow channel length , analyze the complexity coefficient of mold flow channel ,in Respectively represent the preset reference gate layout area and reference runner length, Indicates the number of the flow channel branch, ; Extract material properties from process requirements of high-gloss injection molding targets and analyze sensitivity coefficients of operating parameters ; Get the preset reset injection temperature of the Gaoguang injection molding temperature controller , reset injection pressure , based on which the injection temperature of the high-gloss injection molding temperature controller is preset , injection pressure .

4. According to claim 3, a high-gloss injection molding mold temperature controller intelligent control and regulation system is characterized in that: The sensitivity coefficient of the analytical operation parameters includes: Extract material properties from the process requirements of the high-gloss injection molding target, extract the preset melting point and viscosity flow temperature of the corresponding material properties of the pre-material of the high-gloss injection molding target, construct the pre-material property measurement of the high-gloss injection molding target, match it with the preset heat-sensitive weights of each material property measurement, and obtain the pre-material heat-sensitive weight of the high-gloss injection molding target ; Get the pre-material operation record of the highlight injection molding target, and extract the corresponding melt temperature of the pre-material of the highlight injection molding target , and then obtain the corresponding preset coordination weight of the melt temperature of the high-gloss injection molding mold temperature controller under the reset operation parameter state ; Extract the corresponding raw material type and product thickness of the pre-material from the pre-material operation record of the high-gloss injection molding target, and determine the basic curing time of the pre-material by combining the corresponding preset mold strength of the replaced injection mold insert. , and determine the adjustment factor for the base curing time ; Analyze the sensitivity coefficients of the corresponding operating parameters of the high-gloss injection molding target , where Indicates the preset reference melt temperature, Indicates setting constant.

5. The intelligent control and regulation system for high-gloss injection molding mold temperature controller according to claim 1 is characterized in that: The identification of the corresponding paired defect parameters of the operation data also includes: comparing the corresponding apparent contour of the highlight injection molding target with the corresponding standard contour of the highlight injection molding target, detecting the corresponding paired defect parameters of the overflow pressure of the highlight injection molding target, and calculating the overflow pressure level of the highlight injection molding target. ; It also detects the corresponding matching defect parameters of the high-gloss injection molding target and calculates the low-gloss injection molding target’s low-gloss level .

6. The intelligent control and regulation system for high-gloss injection molding mold temperature controller according to claim 5 is characterized in that: The preset operation data for the next operation of the high-gloss injection molding mold temperature controller includes: determining the corresponding deviation index of the injection temperature based on the identification result of the corresponding matching defect parameters of the operation data; , where Respectively indicate that the material properties of the highlight injection molding target are thermoplastic and thermosetting, e represents the natural constant, and determines the corresponding deviation index of the injection pressure ; Identify low quality of injection molding targets with high gloss , compare it with the preset low-quality baseline value of injection molding quality, if it exceeds the preset low-quality baseline value of injection molding quality, then confirm the type of waste for the high-gloss injection molding target; Get the process correction factor of the next operation parameter corresponding to the high-gloss injection molding target , determine the preset operation data of the next operation of the high-light injection molding temperature controller and the corresponding correction demand indicators , It indicates the baseline value of the low quality of the preset injection molding, obtains the deviation trend of the operating parameters of the high-light injection molding target, and determines the control trend of the preset operating data.

7. The intelligent control and regulation system for high-gloss injection molding mold temperature controller according to claim 6 is characterized in that: The control trend of the preset operation data is determined in a specific manner as follows: comparing the overflow heat level and the poor heat level of the thermoplastic high-gloss injection molding target. , then the temperature deviation trend of the thermoplastic high-gloss injection molding target is defined as the overflow trend. , the temperature deviation trend of the thermoplastic highlight injection molding target is defined as the poor heat trend, and the temperature deviation trend of the thermoplastic highlight injection molding target is identified accordingly, including the overflow heat trend and the poor heat trend; According to the temperature deviation trend identification method of the thermoplastic highlight injection molding target, the temperature deviation trend of the thermosetting highlight injection molding target is identified in the same way, and the pressure deviation trend of the highlight injection molding target is identified in the same way; When the temperature deviation trend of the thermoplastic or thermosetting highlight injection molding target is an overflow trend, the control trend of the injection temperature corresponding to the preset operation data is determined to be downward adjustment; when the temperature deviation trend of the thermoplastic highlight injection molding target is a lean heat trend, the control trend of the injection temperature corresponding to the preset operation data is determined to be upward adjustment, and then the control trend of the injection pressure corresponding to the preset operation data is determined in this way.

Citation Information

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