A method and device for liquefying and blending a toughening agent based on epoxy resin
By monitoring viscosity and image color differences in real time in the mixer, the liquefied co -mixing method of tougher and speed with temperature and speed is dynamically adjusted to solve the problem of mixed mixing of epoxy resin and tough agent. Improvement of toughness.
Patent Information
- Application Number
- CN202410668844.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-05-28
- Publication Date
- 2025-01-28
- Estimated Expiration
- 2044-05-28
AI Technical Summary
In the prior art, the extrusion equipment depends on temperature control, and the process control stability is low.
The liquefied co -mixing method based on epoxy resin is used to monitor the viscosity change and image color difference in real time in the mixer to dynamically adjust the mixing temperature and speed to ensure the uniformity and ideal viscosity of the mixture.
The efficient and uniform mixing of epoxy resin and tough agent, significantly improved the fracture toughness of the final product, improved the automation and accuracy of the production process, and reduced the cost of production and materials.
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Figure CN118700366B_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of process control automation, and in particular to a method and equipment for liquefying and blending a toughening agent based on epoxy resin. Background Art
[0002] As an important thermosetting resin, epoxy resin plays an important role in many industrial fields such as electronics, electrical, mechanical, electrical, corrosion and heat resistance due to its excellent bonding properties, mechanical properties, electrical properties, corrosion resistance and heat resistance. However, pure epoxy resin has the disadvantages of being brittle, poor in fatigue resistance, heat resistance and impact toughness due to its highly cross-linked three-dimensional network structure, which limits its use in certain high-performance applications. In order to overcome these limitations, researchers have carried out a lot of modification work to improve the toughness of epoxy resin while affecting its original excellent properties as little as possible.
[0003] The patent with the publication number CN1083497A discloses a thermotropic liquid crystal polymer toughened epoxy resin and a preparation method, which includes blending the thermotropic liquid crystal polymer with a thermoplastic, placing it in a drying oven at 120°C, and drying it for more than 24 hours; then placing it in the hopper of an extruder, and performing melt extrusion or spinning under the action of flow field, temperature field and stress strain field, as a toughening agent; heating the epoxy resin so that its temperature is higher than the melting temperature of the thermoplastic in the toughening agent, and is kept constant when it is lower than the melting temperature of the thermotropic liquid crystal polymer, and then gradually adding the toughening agent to the epoxy resin and stirring it evenly; then cooling it to 120°C, adding a curing agent and a catalyst, and pouring it into a mold after vacuum degassing, and curing it under certain curing specifications. Thermotropic liquid crystal polymers have a high thermal deformation temperature, which is difficult to match with general-purpose matrix polymers, which may lead to difficulties in processing and molding, and the use of an extruder requires precise control of the temperature of the epoxy resin and the toughening agent, and the process control stability is low. Summary of the invention
[0004] To this end, the present invention provides a method and equipment for liquefying and blending a toughening agent based on epoxy resin, so as to overcome the problem that the extrusion equipment in the prior art is difficult to process and shape due to reliance on temperature control.
[0005] To achieve the above object, the present invention provides a method for liquefying and blending a toughening agent based on epoxy resin, comprising:
[0006] Step S1, adding a preset proportion of pigment to a toughening agent, mixing and stirring for a preset time to form a color toughening agent;
[0007] Step S2, adding the color developing toughening agent to the epoxy resin in the stirrer according to a preset addition ratio, controlling the stirrer to stir with initial operating parameters, and mixing the two to form a stirred mixture, wherein the initial operating parameters include a preset stirring temperature, a preset stirring speed, and a preset stirring time;
[0008] Step S3, using a viscosity monitoring module to detect the real-time viscosity of the stirred mixture in the stirrer, and calculating the real-time viscosity change value of the stirred mixture according to a preset detection unit time, and when the real-time viscosity change value is less than a preset viscosity change threshold, adjusting the stirring temperature in the initial operating parameters to increase according to the real-time viscosity change value and the preset viscosity change threshold;
[0009] Step S4, when the real-time viscosity change value is greater than or equal to a preset viscosity change threshold, a real-time image of the color developing toughening agent in the stirred mixture is collected by an image sensor, and the color value of each pixel in the real-time image is extracted, and the real-time color difference is calculated according to each color value, and the average value of the real-time color difference is calculated according to all the real-time color differences, and the standard deviation is calculated according to the average value and the real-time color difference.
[0010] When the standard deviation is less than or equal to a preset standard deviation threshold, the stirrer is controlled to stop stirring, thereby completing the liquefaction blending of the epoxy resin and the toughening agent;
[0011] Step S5, after each stirring is completed, the stirred mixture is solidified to obtain a fracture toughness test sample, and a preset load is applied to the surface of the fracture toughness test sample using a hardness tester to form an indentation with cracks around it, and a length sensor is used to collect the distance from the indentation to the end of the crack and the diagonal length of the indentation, and the fracture toughness is calculated based on the load and the distance from the indentation to the end of the crack, and when the fracture toughness is less than a preset toughness threshold, a linear regression model is established based on historical data to express the relationship between the amount of toughening agent and the fracture toughness, and the toughness threshold is input into the linear regression model to calculate the required amount of toughening agent, and the required toughening agent addition ratio is calculated based on the required toughening agent amount, and correction is made when the required toughening agent addition ratio is less than the adjusted toughening agent addition ratio.
[0012] Furthermore, in step S3, a viscosity change threshold is set, the real-time viscosity detected by the viscosity monitoring module is calculated according to a preset detection unit time, and the calculated real-time viscosity change value is compared with the viscosity change threshold.
[0013] If the real-time viscosity change value is less than the viscosity change threshold, it is determined that the stirring temperature needs to be adjusted, and the stirring temperature is adjusted according to the real-time viscosity change value and the viscosity change threshold.
[0014] T'=T×[1+(V'-V) / V'],
[0015] Wherein, T' is the adjusted stirring temperature, T is the preset stirring temperature, V' is the viscosity change threshold, and V is the viscosity change value.
[0016] Further, in step S4, a reference color value and a standard deviation threshold are set. When the real-time viscosity change value is greater than or equal to the preset viscosity change threshold, a real-time image of the color developing toughening agent in the stirred mixture is collected by an image sensor, and the color value of each pixel in the real-time image is extracted, and the real-time color difference is calculated according to each color value, and the average value of the real-time color difference is calculated according to all the real-time color differences, and the standard deviation is calculated according to the average value and the real-time color difference, and the calculated standard deviation is compared with the standard deviation threshold.
[0017] If the standard deviation is greater than the standard deviation threshold, it is determined that the stirring speed needs to be adjusted according to the preset speed step.
[0018] Furthermore, in step S5, a preset stirring temperature is set, and after adjusting the stirring speed, the real-time stirring temperature of the stirred mixture during the stirring time is monitored, and the real-time stirring temperature is compared with the preset stirring temperature.
[0019] If the real-time stirring temperature is greater than the preset stirring temperature, it is determined that the speed step needs to be adjusted.
[0020] Furthermore, when it is determined that the speed step needs to be adjusted, the adjustment value of the speed step is calculated according to the real-time stirring temperature and the preset stirring temperature.
[0021] ΔS=j×(E-E') / E',
[0022] Wherein, ΔS is the adjustment value of the speed step, j is the preset step ratio coefficient, E is the real-time stirring temperature, and E' is the preset stirring temperature.
[0023] Furthermore, in step S5, a preset maximum adjustment safety threshold is set, and the calculated adjustment value is compared with the preset maximum adjustment safety threshold to determine whether the addition ratio needs to be adjusted.
[0024] If the adjustment value is greater than the maximum adjustment safety threshold, it is determined that the addition ratio needs to be adjusted.
[0025] Further, when it is determined that the addition ratio needs to be adjusted, the addition ratio is adjusted according to the adjustment value and the preset maximum adjustment safety threshold.
[0026] Q'=Q+c×min(ΔS, ΔS'),
[0027] Wherein, Q' is the adjusted addition ratio, Q is the preset addition ratio, ΔS is the adjustment value, ΔS' is the maximum adjustment safety threshold, and c is the preset ratio conversion coefficient.
[0028] Further, in step S5, a toughness threshold is preset, and a length sensor is used to collect the distance from the indentation to the crack end and the diagonal length of the indentation, and the fracture toughness is calculated according to the load and the distance from the indentation to the crack end.
[0029] If the fracture toughness is less than the toughness threshold, it is determined that the adjusted toughening agent addition ratio needs to be corrected.
[0030] Further, when it is determined that the adjusted toughening agent addition ratio needs to be corrected, a linear regression model for expressing the relationship between the toughening agent dosage and the fracture toughness is established based on historical data, and the toughness threshold is input into the linear regression model to calculate the required toughening agent dosage, and the required toughening agent addition ratio is calculated based on the required toughening agent dosage, and the determination is made based on the required toughening agent addition ratio and the adjusted toughening agent addition ratio.
[0031] If the required toughening agent addition ratio is greater than or equal to the adjusted toughening agent addition ratio, it is determined that no correction is required;
[0032] If the required toughening agent addition ratio is less than the adjusted toughening agent addition ratio, it is determined that correction is required, and the required toughening agent addition ratio is selected as the corrected toughening agent addition ratio.
[0033] A liquefaction and blending device for a toughening agent based on epoxy resin, based on the above-mentioned liquefaction and blending method for a toughening agent based on epoxy resin, comprising:
[0034] A pigment adding module is used to add the pigment into the toughening agent inside the pigment adding module and mix and stir for a preset time to form a color toughening agent, and at the end of the stirring, the color toughening agent is transported to the stirrer;
[0035] The stirrer is connected to the pigment adding module and is used to stir the stirring mixture therein according to initial operating parameters, wherein the initial operating parameters include a preset stirring temperature, a preset stirring speed and a preset stirring time;
[0036] A viscosity monitoring module is arranged inside the stirrer, and is used to detect the real-time viscosity of the stirred mixture in the stirrer, and calculate the real-time viscosity change value of the stirred mixture according to a preset detection unit time length;
[0037] A temperature control module connected to the viscosity monitoring module, for adjusting and increasing the stirring temperature in the initial operating parameters according to the real-time viscosity change value and the preset viscosity change threshold value when the real-time viscosity change value is less than the preset viscosity change threshold value;
[0038] An image sensor is provided at an observation window on the stirrer for observing materials, and is used to collect a real-time image of the color-developing toughening agent in the stirred mixture after the stirring temperature is adjusted;
[0039] An image analysis module, connected to the image sensor, for collecting a real-time image of the color-developing toughening agent in the stirred mixture, and extracting the color value of each pixel in the real-time image, calculating the real-time color difference according to each color value, and calculating the average value of the real-time color difference according to all the real-time color differences, and calculating the standard deviation according to the average value and the real-time color difference, and controlling the stirrer to stop stirring when the standard deviation is less than or equal to a preset standard deviation threshold;
[0040] A speed adjustment module, connected to the image analysis module, for adjusting the stirring speed according to a preset speed step when the standard deviation is greater than a preset standard deviation threshold;
[0041] an adding ratio adjustment module, connected to the speed adjustment module, for monitoring the real-time stirring temperature of the stirring mixture within the stirring time after adjusting the stirring speed, and when the real-time stirring temperature is greater than the preset stirring temperature, calculating the adjustment value of the speed step length according to the real-time stirring temperature and the preset stirring temperature, and when the adjustment value is greater than the preset maximum adjustment safety threshold, adjusting the adding ratio to increase according to the adjustment value and the preset maximum adjustment safety threshold;
[0042] An adding ratio correction module, connected to the adding ratio adjustment module, comprises a curing unit, a hardness tester, a length sensor and a calculating ratio unit;
[0043] The curing unit is used to cure the stirred mixture to obtain a fracture toughness test sample;
[0044] The hardness tester is used to apply a preset load on the surface of the fracture toughness test sample to form an indentation with cracks around it;
[0045] The length sensor is used to collect the distance from the indentation to the end of the crack and the diagonal length of the indentation;
[0046] The calculation ratio unit is connected to the length sensor, and is used to calculate the fracture toughness according to the load and the distance from the indentation to the crack end. When the fracture toughness is less than a preset toughness threshold, a linear regression model is established according to historical data to express the relationship between the amount of toughening agent and the fracture toughness, and the toughness threshold is input into the linear regression model to calculate the required amount of toughening agent, and the required toughening agent addition ratio is calculated according to the required toughening agent amount, and correction is performed when the required toughening agent addition ratio is less than the adjusted toughening agent addition ratio.
[0047] Compared with the prior art, the beneficial effect of the present invention lies in that, through precise stirring parameter control and real-time monitoring technology, efficient and uniform mixing of epoxy resin and toughening agent is achieved, thereby significantly improving the fracture toughness of the final product; through viscosity monitoring and image color difference analysis, the method can adjust the stirring conditions in real time to ensure that the mixture reaches the ideal viscosity and color uniformity, thereby avoiding excessive stirring or insufficient mixing; through the application of fracture toughness testing and linear regression models, the amount and addition ratio of the toughening agent can be accurately optimized, further improving the performance of the material while reducing production costs and material waste.
[0048] Furthermore, by real-time monitoring of the viscosity change of the stirred mixture and dynamically adjusting the stirring temperature according to a preset viscosity change threshold, the automation and accuracy of the production process are improved, ensuring the uniformity and quality stability of the mixture.
[0049] Furthermore, image analysis technology can be used to more intuitively and accurately evaluate the effect of the stirring process, rather than relying solely on viscosity measurement. Potential uneven mixing problems can be discovered earlier and solved in time by adjusting the stirring speed, thus avoiding the production of unqualified products. In addition, image analysis provides a non-invasive monitoring method that does not interfere with the stirring process, while improving the automation and intelligence level of the production process.
[0050] Furthermore, by real-time monitoring of the real-time stirring temperature of the stirred mixture and comparing it with the preset stirring temperature, combined with an automated speed adjustment mechanism, the purpose of accurately controlling the temperature of the stirring process is achieved, ensuring the physical and chemical stability of the mixture and avoiding the risk of product performance degradation and equipment damage due to excessive temperature.
[0051] Furthermore, the calculated speed step can effectively respond to temperature changes and quickly adjust the stirring temperature to an appropriate range. This method not only improves the response speed and accuracy of temperature control, but also optimizes the quality and stability of the mixture by reducing temperature fluctuations.
[0052] Furthermore, by setting the maximum adjustment safety threshold and adjusting the addition ratio accordingly, the safety of the mixing operation is ensured, while optimizing production efficiency and product quality, effectively balancing the safety of equipment operation and production needs, preventing the risk of equipment damage due to overspeed mixing, and ensuring the continuity and stability of production.
[0053] Furthermore, the adjusted addition ratio can more accurately reflect the needs of real-time production conditions, thereby optimizing the composition of the mixture and improving the consistency and reliability of the final product. In addition, this method improves production safety by reducing the risk of over-adjustment and reduces production costs by reducing material waste. At the same time, the preset ratio conversion coefficient provides flexibility for production, allowing the production process to be quickly adjusted according to real-time feedback, thereby enhancing the adaptability and response speed of production.
[0054] Furthermore, by measuring fracture toughness, it is possible to ensure that the material meets specific performance requirements, especially the toughness performance under stress and crack propagation. If the test results show that the current addition ratio does not achieve the expected toughness level, timely adjustment of the toughening agent ratio can optimize the material formulation, thereby improving the reliability and durability of the product.
[0055] Furthermore, through historical data analysis and mathematical modeling, a scientific and systematic method is provided to optimize the addition ratio of toughening agents, which can ensure that the final product not only meets the fracture toughness requirements, but also avoids excessive use of toughening agents, thereby controlling costs and reducing possible environmental impacts. In addition, by accurately calculating the required toughening agent dosage, the mechanical properties of the material can be improved, and the reliability and durability of the product can be enhanced.
[0056] Furthermore, by precisely controlling the stirring conditions and real-time monitoring of the stirring process, the uniform mixing of the epoxy resin and the toughening agent is ensured, the quality of the mixture and the fracture toughness of the final product are improved, and the automated viscosity and color difference monitoring improves the accuracy and repeatability of production, reduces manual intervention, and reduces production costs. By real-time adjustment of the stirring speed and the proportion of toughening agent added, the equipment can quickly respond to any deviations in the production process to ensure the consistency of product quality. The use of a hardness tester and a length sensor, combined with a linear regression model, provides a scientific basis for adjusting the amount of toughening agent, further improving the reliability and durability of the product. BRIEF DESCRIPTION OF THE DRAWINGS
[0057] Figure 1 Schematic diagram of the process of liquefying and blending the toughening agent based on epoxy resin in this embodiment;
[0058] Figure 2 This is a decision logic diagram for determining whether the stirring temperature needs to be adjusted in this embodiment;
[0059] Figure 3 This is a decision logic diagram for determining whether the stirring speed needs to be adjusted in this embodiment;
[0060] Figure 4 It is a schematic diagram of the structure of the epoxy resin-based toughening agent liquefaction and blending equipment in this embodiment. DETAILED DESCRIPTION
[0061] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.
[0062] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.
[0063] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.
[0064] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.
[0065] See also Figure 1 As shown, it is a schematic flow chart of the epoxy resin-based toughening agent liquefaction blending method of this embodiment;
[0066] This embodiment provides a method for liquefying and blending a toughening agent based on epoxy resin, comprising:
[0067] Step S1, adding a preset proportion of pigment to a toughening agent, mixing and stirring for a preset time to form a color toughening agent;
[0068] Step S2, adding the color developing toughening agent to the epoxy resin in the stirrer according to a preset addition ratio, controlling the stirrer to stir with initial operating parameters, and mixing the two to form a stirred mixture, wherein the initial operating parameters include a preset stirring temperature, a preset stirring speed, and a preset stirring time;
[0069] Step S3, using a viscosity monitoring module to detect the real-time viscosity of the stirred mixture in the stirrer, and calculating the real-time viscosity change value of the stirred mixture according to a preset detection unit time, and when the real-time viscosity change value is less than a preset viscosity change threshold, adjusting the stirring temperature in the initial operating parameters to increase according to the real-time viscosity change value and the preset viscosity change threshold;
[0070] Step S4, when the real-time viscosity change value is greater than or equal to a preset viscosity change threshold, a real-time image of the color developing toughening agent in the stirred mixture is collected by an image sensor, and the color value of each pixel in the real-time image is extracted, and the real-time color difference is calculated according to each color value, and the average value of the real-time color difference is calculated according to all the real-time color differences, and the standard deviation is calculated according to the average value and the real-time color difference.
[0071] When the standard deviation is less than or equal to a preset standard deviation threshold, the stirrer is controlled to stop stirring, thereby completing the liquefaction blending of the epoxy resin and the toughening agent;
[0072] Step S5, after each stirring is completed, the stirred mixture is solidified to obtain a fracture toughness test sample, and a preset load is applied to the surface of the fracture toughness test sample using a hardness tester to form an indentation with cracks around it, and a length sensor is used to collect the distance from the indentation to the end of the crack and the diagonal length of the indentation, and the fracture toughness is calculated based on the load and the distance from the indentation to the end of the crack, and when the fracture toughness is less than a preset toughness threshold, a linear regression model is established based on historical data to express the relationship between the amount of toughening agent and the fracture toughness, and the toughness threshold is input into the linear regression model to calculate the required amount of toughening agent, and the required toughening agent addition ratio is calculated based on the required toughening agent amount, and correction is made when the required toughening agent addition ratio is less than the adjusted toughening agent addition ratio.
[0073] First, the pigment and the toughening agent are mixed to form a color toughening agent. Then, the color toughening agent is added to the epoxy resin in a certain proportion and stirred under specific initial operating parameters. During the stirring process, the viscosity monitoring module is used to detect the viscosity change of the mixture in real time, and the stirring temperature is adjusted according to the viscosity change. When the viscosity change value reaches the preset threshold, the image of the mixture is collected by the image sensor, and the color difference and standard deviation are calculated. If the standard deviation is within the preset threshold, the stirring is stopped; if it exceeds, the stirring speed and temperature are adjusted. After the stirring is completed, the mixture is solidified to form a test sample, and the fracture toughness is measured by a hardness tester and a length sensor. A linear regression model is established based on the test results to optimize the amount and addition ratio of the toughening agent.
[0074] Through precise stirring parameter control and real-time monitoring technology, efficient and uniform mixing of epoxy resin and toughening agent can be achieved, thereby significantly improving the fracture toughness of the final product. Through viscosity monitoring and image color difference analysis, this method can adjust the stirring conditions in real time to ensure that the mixture reaches the ideal viscosity and color uniformity, thereby avoiding excessive stirring or insufficient mixing. Through the application of fracture toughness testing and linear regression models, the dosage and addition ratio of the toughening agent can be accurately optimized, further improving the performance of the material while reducing production costs and material waste.
[0075] The preset ratio is the mass ratio of the pigment and the toughening agent when mixed, which depends on the desired color depth and the type of toughening agent, and is usually between 1:10 and 1:1000. In this embodiment, the preset ratio of the pigment and the toughening agent is set to 1:100, which can accurately control the depth of color while ensuring the performance of the toughening agent.
[0076] The preset time is the length of time for the pigment and the toughening agent to mix, which usually ranges from several minutes to several tens of minutes. In this embodiment, the preset time is set to 10 minutes, which can ensure that the pigment is fully dispersed and avoid local color unevenness.
[0077] The preset addition ratio is the mass ratio of the color developing toughening agent added to the epoxy resin, which is usually between 1% and 20%. In this embodiment, the addition ratio is set to 5%. The appropriate addition ratio can ensure the toughening effect while controlling the cost.
[0078] The preset stirring temperature, the preset stirring speed and the preset stirring time determine the initial conditions of the stirring process. The stirring temperature is usually between 20°C and 80°C, the stirring speed is usually between 100 and 1000 rpm, and the stirring time is usually between a few minutes and tens of minutes. In this embodiment, the preset stirring temperature is 40°C, the preset stirring speed is 300 rpm, and the preset stirring time is 20 minutes. Appropriate stirring conditions help to achieve uniformity of the mixture and avoid local overheating or overcooling.
[0079] The preset detection unit time is the time interval for viscosity monitoring, which usually ranges from a few seconds to a few minutes. In this embodiment, the preset detection unit time is set to 30 seconds. A shorter detection interval can respond to viscosity changes more quickly and adjust the stirring conditions in time.
[0080] The preset viscosity change threshold is the maximum value of the allowable viscosity change, which is usually between tens and hundreds of cP. In this embodiment, the viscosity change threshold is set to 50 cP, which can prevent the mixture from being too thick or too thin, thereby affecting the performance of the final product.
[0081] The standard deviation threshold is the maximum standard deviation allowed in color difference measurement, which is usually between 0.1 and 1. In this embodiment, the standard deviation threshold is set to 0.3, which can ensure the consistency of the color of the mixture and improve product quality.
[0082] The preset speed step is the minimum unit for adjusting the stirring speed, which is usually between 10 and 100 rpm. In this embodiment, the speed step is set to 20 rpm, which allows fine adjustment of the stirring speed to meet different stirring requirements.
[0083] The maximum adjustment safety threshold is the maximum speed adjustment range allowed when adjusting the stirring speed to ensure production safety and equipment durability. It depends on the design limit of the agitator, the physical properties of the epoxy resin and the toughening agent, and the requirements for temperature sensitivity during the production process. It is usually set within a stirring speed variation range of 5% to 20%. In this embodiment, the maximum adjustment safety threshold is set to 10%. By limiting the speed adjustment range, it can prevent equipment damage or production accidents caused by excessive stirring speed, and also avoid affecting the stability and performance of the mixture due to excessive temperature increase.
[0084] The preset toughness threshold is the minimum fracture toughness requirement that the epoxy resin-based composite material must meet in the fracture toughness test to meet the performance standards of a specific application. It depends on the use environment and application requirements of the final product. Usually, the setting range of the toughness threshold ranges from a few MPa square root meter to tens of MPa square root meter. In this embodiment, the toughness threshold is set to 10 MPa square root meter, which can ensure that the final product can withstand the expected stress in actual application, avoid premature fracture or damage, and improve the reliability and durability of the product.
[0085] Please continue reading Figure 2 As shown, it is a decision logic diagram for determining whether the stirring temperature needs to be adjusted in this embodiment;
[0086] Specifically, in step S3, a viscosity change threshold is set, and the real-time viscosity detected by the viscosity monitoring module is calculated according to a preset detection unit time.
[0087] H=(Z i -Z i-1 ) / t i -t i-1 ,
[0088] Among them, Z i is time point t i Real-time viscosity, Z i-1 is time point t i-1 Real-time viscosity;
[0089] And compare the calculated real-time viscosity change value with the viscosity change threshold.
[0090] If the real-time viscosity change value is less than the viscosity change threshold, it is determined that the stirring temperature needs to be adjusted, and the stirring temperature is adjusted according to the real-time viscosity change value and the viscosity change threshold.
[0091] T'=T×[1+(V'-V) / V'],
[0092] Wherein, T' is the adjusted stirring temperature, T is the preset stirring temperature, V' is the viscosity change threshold, and V is the viscosity change value.
[0093] The viscosity monitoring module detects the viscosity of the stirred mixture in the agitator in real time, and calculates the viscosity change value at consecutive time points. The real-time viscosity change value H is then compared with the preset viscosity change threshold. If the real-time viscosity change value is less than this threshold, the system will determine that the stirring temperature needs to be adjusted.
[0094] By real-time monitoring of the viscosity change of the stirred mixture and dynamically adjusting the stirring temperature according to the preset viscosity change threshold, the automation and accuracy of the production process are improved, ensuring the uniformity and quality stability of the mixture.
[0095] Please continue reading Figure 3 As shown, it is a decision logic diagram for determining whether the stirring speed needs to be adjusted in this embodiment;
[0096] Specifically, in step S4, a reference color value and a standard deviation threshold are set. When the real-time viscosity change value is greater than or equal to the preset viscosity change threshold, a real-time image of the color developing toughening agent in the stirred mixture is collected by an image sensor, and the color value of each pixel in the real-time image is extracted. The real-time color difference is calculated according to each color value.
[0097] Among them, ΔU i is the real-time color difference of the i-th pixel, W i is the real-time brightness coordinate of the color value of the i-th pixel, W ief is the reference brightness coordinate of the color value of the i-th pixel, d i is the real-time red and green color coordinates of the color value of the i-th pixel, d ief is the reference red and green color coordinates of the color value of the i-th pixel, f i is the real-time yellow-blue color coordinate of the color value of the i-th pixel, f ief is the reference yellow-blue color coordinate of the color value of the i-th pixel;
[0098] And calculate the average value of real-time color difference based on all real-time color differences,
[0099] Among them, ΔU' is the average value of real-time color difference, n is the total number of pixels,
[0100] And calculate the standard deviation based on the average value and real-time color difference,
[0101] Where σ is the standard deviation,
[0102] And compare the calculated standard deviation with the standard deviation threshold,
[0103] If the standard deviation is greater than the standard deviation threshold, it is determined that the stirring speed needs to be adjusted according to the preset speed step.
[0104] When the real-time viscosity change value reaches or exceeds the preset viscosity change threshold, the system uses the image sensor to capture real-time images of the stirred mixture. Then, the color value of each pixel is extracted from the captured image, and the color difference between these color values and the preset reference color value is calculated. The calculation of the color difference takes into account the difference between the brightness coordinate, the red and green color coordinates, and the yellow and blue color coordinates. Next, the system calculates the average and standard deviation of the color difference of all pixels, and compares the obtained standard deviation with the preset standard deviation threshold. If the calculated standard deviation exceeds this threshold, the system will determine that the stirring speed needs to be adjusted to adjust it according to the preset speed step.
[0105] Image analysis technology can be used to more intuitively and accurately evaluate the effect of the mixing process, rather than relying solely on viscosity measurement. Potential uneven mixing problems can be discovered earlier and solved in time by adjusting the mixing speed, thus avoiding the production of unqualified products. In addition, image analysis provides a non-invasive monitoring method that does not interfere with the mixing process, while improving the automation and intelligence level of the production process.
[0106] Specifically, in step S5, a preset stirring temperature is set, and after adjusting the stirring speed, the real-time stirring temperature of the stirred mixture during the stirring time is monitored, and the real-time stirring temperature is compared with the preset stirring temperature.
[0107] If the real-time stirring temperature is greater than the preset stirring temperature, it is determined that the speed step needs to be adjusted.
[0108] First, a preset stirring temperature is set as the benchmark for temperature control during the stirring process. During the process of adjusting the stirring speed, the system will monitor the temperature of the stirred mixture in real time and compare the real-time stirring temperature with the preset stirring temperature. If the monitored real-time stirring temperature exceeds the preset stirring temperature, the system will determine that the stirring speed needs to be adjusted to avoid the possible deterioration of the mixture quality or damage to the equipment due to excessive temperature.
[0109] By real-time monitoring of the stirring temperature of the stirred mixture and comparing it with the preset stirring temperature, combined with an automated speed adjustment mechanism, the purpose of accurately controlling the temperature of the stirring process is achieved, ensuring the physical and chemical stability of the mixture and avoiding the risk of product performance degradation and equipment damage due to excessive temperature.
[0110] Specifically, when it is determined that the speed step needs to be adjusted, the speed step adjustment value is calculated according to the real-time stirring temperature and the preset stirring temperature.
[0111] ΔS=j×(E-E') / E',
[0112] Wherein, ΔS is the adjustment value of the speed step, j is the preset step ratio coefficient, E is the real-time stirring temperature, and E' is the preset stirring temperature.
[0113] When the real-time stirring temperature exceeds the preset stirring temperature, the system will start the speed adjustment mechanism. This mechanism uses a calculation formula to determine the adjustment value of the speed step. This calculation result will be used to adjust the stirring speed to reduce the temperature of the mixture and ensure that it returns to the preset stirring temperature range.
[0114] The calculated speed step size can effectively respond to temperature changes and quickly adjust the stirring temperature to the appropriate range. This method not only improves the response speed and accuracy of temperature control, but also optimizes the quality and stability of the mixture by reducing temperature fluctuations.
[0115] Specifically, in step S5, a preset maximum adjustment safety threshold is set, and the calculated adjustment value is compared with the preset maximum adjustment safety threshold to determine whether the addition ratio needs to be adjusted.
[0116] If the adjustment value is greater than the maximum adjustment safety threshold, it is determined that the addition ratio needs to be adjusted.
[0117] When the speed step adjustment value calculated based on the real-time stirring temperature and the preset stirring temperature exceeds the maximum adjustment safety threshold, the system will further determine whether the addition ratio of the toughening agent needs to be adjusted.
[0118] By setting the maximum adjustment safety threshold and adjusting the addition ratio accordingly, the safety of the mixing operation is ensured, while the production efficiency and product quality are optimized, effectively balancing the safety of equipment operation and production needs, preventing the risk of equipment damage due to overspeed mixing, and ensuring the continuity and stability of production.
[0119] Specifically, when it is determined that the addition ratio needs to be adjusted, the addition ratio is adjusted according to the adjustment value and the preset maximum adjustment safety threshold.
[0120] Q'=Q+c×min(ΔS, ΔS'),
[0121] Wherein, Q' is the adjusted addition ratio, Q is the preset addition ratio, ΔS is the adjustment value, ΔS' is the maximum adjustment safety threshold, and c is the preset ratio conversion coefficient.
[0122] First, the adjustment value of the stirring speed is calculated, and then compared with the preset maximum adjustment safety threshold. If the adjustment value exceeds the safety threshold, the system will adjust the addition ratio of the toughening agent according to the formula. In this formula, min (ΔS, ΔS') represents the smaller of the adjustment value and the safety threshold to ensure that the adjusted addition ratio meets production needs without exceeding the safety range.
[0123] The adjusted addition ratio can more accurately reflect the needs of real-time production conditions, thereby optimizing the composition of the mixture and improving the consistency and reliability of the final product. In addition, this method improves production safety by reducing the risk of over-adjustment and reduces production costs by reducing material waste. At the same time, the preset ratio conversion factor provides flexibility for production, allowing the production process to be quickly adjusted according to real-time feedback, enhancing the adaptability and response speed of production.
[0124] The ratio conversion coefficient is a mathematical factor used to calculate the new addition ratio when the adjustment value of the stirring speed exceeds the maximum safety threshold. It depends on many factors, including the performance of the toughening agent, the viscosity characteristics of the epoxy resin, the desired final product performance, and the capacity and limitations of the stirring equipment. Usually, this coefficient is set within a smaller range, ranging from 0.1 to 1.0. In this embodiment, it is set to 0.5, which can provide a moderate adjustment range, which can effectively respond to the temperature rise problem during the stirring process and avoid unnecessary waste of raw materials or production interruptions due to excessive adjustment range.
[0125] Specifically, in step S5, a toughness threshold is preset, and a length sensor is used to collect the distance from the indentation to the crack end and the diagonal length of the indentation, and the fracture toughness is calculated based on the load and the distance from the indentation to the crack end.
[0126] Among them, N is the fracture toughness, O is the load, I is the distance from the indentation to the end of the crack, r is the diagonal length of the indentation, X is the Young's modulus of the fracture toughness test sample, ν is the Poisson's ratio of the fracture toughness test sample, and the fracture toughness and toughness threshold are compared.
[0127] If the fracture toughness is less than the toughness threshold, it is determined that the adjusted toughening agent addition ratio needs to be corrected.
[0128] When the adjustment value of the stirring speed exceeds the preset maximum adjustment safety threshold, the system will enter the toughness assessment stage. First, use a length sensor to accurately measure the distance from the indentation on the fracture toughness test sample to the end of the crack and the diagonal length of the indentation. Then, the fracture toughness of the sample is calculated using the fracture toughness formula based on the applied load, Young's modulus and Poisson's ratio of the sample. Finally, the calculated fracture toughness is compared with the preset toughness threshold. If the fracture toughness is lower than the threshold, the system will determine that the proportion of toughening agent added needs to be corrected.
[0129] By measuring fracture toughness, it is possible to ensure that the material meets specific performance requirements, especially the toughness performance when subjected to stress and crack propagation. If the test results show that the current addition ratio does not achieve the expected toughness level, timely adjustment of the toughening agent ratio can optimize the material formulation, thereby improving the reliability and durability of the product.
[0130] Young's modulus is a measure of a material's ability to resist deformation within its elastic range and is defined as the ratio of stress to strain. It reflects the stiffness of a material, i.e., its ability to resist deformation after being subjected to force. For polymer materials, Young's modulus is usually low, below a few GPa. The Young's modulus of the epoxy resin in this embodiment is 1 GPa.
[0131] Poisson's ratio is the ratio of the lateral to longitudinal deformation of a material when subjected to tension or compression. The Poisson's ratio of epoxy resin is generally 0.38.
[0132] Specifically, when it is determined that the adjusted toughening agent addition ratio needs to be corrected, a linear regression model for expressing the relationship between the toughening agent dosage and the fracture toughness is established based on historical data, and the toughness threshold is input into the linear regression model to calculate the required toughening agent dosage, and the required toughening agent addition ratio is calculated based on the required toughening agent dosage, and the adjusted toughening agent addition ratio is corrected based on the required toughening agent addition ratio.
[0133] Y=(Lb) / a, Q”=Y / M, Qx=min(Q’, Q”),
[0134] Wherein, Y is the required amount of toughener, L is the toughness threshold, b is the intercept of the linear regression model, a is the slope of the linear regression model, Q" is the required addition ratio of the toughener, M is the total amount of epoxy resin, and Qx is the modified addition ratio of the toughener.
[0135] When it is determined that the toughening agent addition ratio needs to be modified to meet the toughness requirements, the system uses historical data to build a linear regression model that describes the relationship between the toughening agent dosage and fracture toughness. The toughening agent dosage required to reach the threshold is calculated by substituting the toughness threshold into the model. Next, the required toughening agent addition ratio is calculated based on the total amount of epoxy resin. Finally, the smaller value of the previously calculated adjustment value and the newly calculated value is taken to determine the revised toughening agent addition ratio.
[0136] Through historical data analysis and mathematical modeling, a scientific and systematic method is provided to optimize the addition ratio of toughening agents, which can ensure that the final product not only meets the fracture toughness requirements, but also avoids excessive use of toughening agents, thereby controlling costs and reducing possible environmental impacts. In addition, by accurately calculating the required amount of toughening agents, the mechanical properties of the material can be improved, and the reliability and durability of the product can be enhanced.
[0137] Please continue reading Figure 4 As shown, it is a schematic structural diagram of the epoxy resin-based toughening agent liquefaction blending equipment of this embodiment;
[0138] A liquefaction and blending device for a toughening agent based on epoxy resin, based on the above-mentioned liquefaction and blending method for a toughening agent based on epoxy resin, comprising:
[0139] The pigment adding module 1 is used to add the pigment into the toughening agent inside the pigment adding module 1 and mix and stir for a preset time to form a color toughening agent, and at the end of the stirring, the color toughening agent is transported to the stirrer 2;
[0140] The stirrer 2 is connected to the pigment adding module 1, and is used to stir the stirring mixture therein according to initial operating parameters, wherein the initial operating parameters include a preset stirring temperature, a preset stirring speed, and a preset stirring time;
[0141] The viscosity monitoring module 3 is arranged inside the stirrer 2, and is used to detect the real-time viscosity of the stirred mixture in the stirrer 2, and calculate the real-time viscosity change value of the stirred mixture according to a preset detection unit time length;
[0142] The temperature control module 4 is connected to the viscosity monitoring module 3, and is used to adjust and increase the stirring temperature in the initial operation parameters according to the real-time viscosity change value and the preset viscosity change threshold value when the real-time viscosity change value is less than the preset viscosity change threshold value;
[0143] An image sensor 5 is provided at an observation window on the stirrer 2 for observing the material, and is used to collect a real-time image of the color-developing toughening agent in the stirred mixture after the stirring temperature is adjusted;
[0144] An image analysis module 6, connected to the image sensor 5, for collecting a real-time image of the color-developing toughening agent in the stirred mixture, and extracting the color value of each pixel in the real-time image, calculating the real-time color difference according to each color value, and calculating the average value of the real-time color difference according to all the real-time color differences, and calculating the standard deviation according to the average value and the real-time color difference, and controlling the stirrer to stop stirring when the standard deviation is less than or equal to a preset standard deviation threshold;
[0145] A speed adjustment module 7, connected to the image analysis module 6, for adjusting the stirring speed according to a preset speed step when the standard deviation is greater than a preset standard deviation threshold;
[0146] An adding ratio adjustment module 8 is connected to the speed adjustment module 7, and is used to monitor the real-time stirring temperature of the stirred mixture within the stirring time after adjusting the stirring speed, and when the real-time stirring temperature is greater than the preset stirring temperature, calculate the adjustment value of the speed step according to the real-time stirring temperature and the preset stirring temperature, and when the adjustment value is greater than the preset maximum adjustment safety threshold, adjust the adding ratio according to the adjustment value and the preset maximum adjustment safety threshold;
[0147] An adding ratio correction module 9, connected to the adding ratio adjustment module 8, includes a curing unit, a hardness tester, a length sensor and a calculating ratio unit;
[0148] The curing unit is used to cure the stirred mixture to obtain a fracture toughness test sample;
[0149] The hardness tester is used to apply a preset load on the surface of the fracture toughness test sample to form an indentation with cracks around it;
[0150] The length sensor is used to collect the distance from the indentation to the end of the crack and the diagonal length of the indentation;
[0151] The calculation ratio unit is connected to the length sensor, and is used to calculate the fracture toughness according to the load and the distance from the indentation to the crack end. When the fracture toughness is less than a preset toughness threshold, a linear regression model is established according to historical data to express the relationship between the amount of toughening agent and the fracture toughness, and the toughness threshold is input into the linear regression model to calculate the required amount of toughening agent, and the required toughening agent addition ratio is calculated according to the required toughening agent amount, and correction is performed when the required toughening agent addition ratio is less than the adjusted toughening agent addition ratio.
[0152] The pigment addition module is responsible for mixing the pigment with the toughening agent to form a color toughening agent. The agitator then mixes the color toughening agent with the epoxy resin, and the stirring process is controlled by the initial operating parameters. The viscosity monitoring module detects the viscosity change of the mixture in real time and transmits the data to the temperature control module, which adjusts the stirring temperature according to the viscosity change. The image sensor and image analysis module are responsible for collecting and analyzing the image of the stirred mixture, calculating the color difference and standard deviation to control the termination of stirring. The speed adjustment module and the addition ratio adjustment module adjust the stirring speed and the addition ratio of the toughening agent according to the real-time data. Finally, the addition ratio correction module cures, tests and adjusts the stirred mixture through equipment such as the curing unit, hardness tester and length sensor to ensure that the final product meets the fracture toughness requirements.
[0153] By precisely controlling the stirring conditions and real-time monitoring of the stirring process, the uniform mixing of epoxy resin and toughening agent is ensured, the quality of the mixture and the fracture toughness of the final product are improved. Automated viscosity and color difference monitoring improves the accuracy and repeatability of production, reduces manual intervention, and reduces production costs. By real-time adjustment of the stirring speed and the proportion of toughening agent added, the equipment can quickly respond to any deviations in the production process to ensure the consistency of product quality. The use of hardness testers and length sensors, combined with linear regression models, provides a scientific basis for adjusting the amount of toughening agent, further improving the reliability and durability of the product.
[0154] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.
[0155] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.
Claims
1. A method for liquefying and blending a toughening agent based on epoxy resin, characterized in that: include: Step S1, adding a preset proportion of pigment to a toughening agent, mixing and stirring for a preset time to form a color toughening agent; Step S2, adding the color developing toughening agent to the epoxy resin in the stirrer according to a preset addition ratio, controlling the stirrer to stir with initial operating parameters, and mixing the two to form a stirred mixture, wherein the initial operating parameters include a preset stirring temperature, a preset stirring speed, and a preset stirring time; Step S3, using a viscosity monitoring module to detect the real-time viscosity of the stirred mixture in the stirrer, and calculating the real-time viscosity change value of the stirred mixture according to a preset detection unit time, and when the real-time viscosity change value is less than a preset viscosity change threshold, adjusting the stirring temperature in the initial operating parameters to increase according to the real-time viscosity change value and the preset viscosity change threshold; Step S4, when the real-time viscosity change value is greater than or equal to a preset viscosity change threshold, a real-time image of the color developing toughening agent in the stirred mixture is collected by an image sensor, and the color value of each pixel in the real-time image is extracted, and the real-time color difference is calculated according to each color value, and the average value of the real-time color difference is calculated according to all the real-time color differences, and the standard deviation is calculated according to the average value and the real-time color difference. When the standard deviation is greater than a preset standard deviation threshold, the stirring speed is adjusted according to a preset speed step; after adjusting the stirring speed, the real-time stirring temperature of the stirred mixture within the stirring time is monitored, and when the real-time stirring temperature is greater than the preset stirring temperature, the adjustment value of the speed step is calculated according to the real-time stirring temperature and the preset stirring temperature, and when the adjustment value is greater than a preset maximum adjustment safety threshold, the addition ratio is adjusted and increased according to the adjustment value and the preset maximum adjustment safety threshold; and when the standard deviation is less than or equal to the preset standard deviation threshold, the stirrer is controlled to stop stirring to complete the liquefaction blending of the toughening agent of the epoxy resin; Step S5, after each stirring is completed, the stirred mixture is solidified to obtain a fracture toughness test sample, and a preset load is applied to the surface of the fracture toughness test sample using a hardness tester to form an indentation with cracks around it, and a length sensor is used to collect the distance from the indentation to the end of the crack and the diagonal length of the indentation, and the fracture toughness is calculated based on the load and the distance from the indentation to the end of the crack, and when the fracture toughness is less than a preset toughness threshold, a linear regression model is established based on historical data to express the relationship between the amount of toughening agent and the fracture toughness, and the toughness threshold is input into the linear regression model to calculate the required amount of toughening agent, and the required toughening agent addition ratio is calculated based on the required toughening agent amount, and correction is made when the required toughening agent addition ratio is less than the adjusted toughening agent addition ratio.
2. The epoxy resin-based toughening agent liquefaction blending method according to claim 1, characterized in that: In step S3, a viscosity change threshold is set, the real-time viscosity detected by the viscosity monitoring module is calculated according to a preset detection unit time, and the calculated real-time viscosity change value is compared with the viscosity change threshold. If the real-time viscosity change value is less than the viscosity change threshold, it is determined that the stirring temperature needs to be adjusted, and the stirring temperature is adjusted according to the real-time viscosity change value and the viscosity change threshold. T'=T×[1+(V'-V) / V'], Wherein, T' is the adjusted stirring temperature, T is the preset stirring temperature, V' is the viscosity change threshold, and V is the viscosity change value.
3. The epoxy resin-based toughening agent liquefaction blending method according to claim 2, characterized in that: In step S4, a reference color value and a standard deviation threshold are set. When the real-time viscosity change value is greater than or equal to the preset viscosity change threshold, a real-time image of the color developing toughening agent in the stirred mixture is collected by an image sensor, and the color value of each pixel in the real-time image is extracted. The real-time color difference is calculated according to each color value, and the average value of the real-time color difference is calculated according to all the real-time color differences, and the standard deviation is calculated according to the average value and the real-time color difference, and the calculated standard deviation is compared with the standard deviation threshold. If the standard deviation is greater than the standard deviation threshold, it is determined that the stirring speed will be adjusted according to the preset speed step.
4. The epoxy resin-based toughening agent liquefaction blending method according to claim 3, characterized in that: In step S4, a preset stirring temperature is set. After adjusting the stirring speed, the real-time stirring temperature of the stirred mixture during the stirring time is monitored, and the real-time stirring temperature is compared with the preset stirring temperature. If the real-time stirring temperature is greater than the preset stirring temperature, it is determined that the speed step needs to be adjusted.
5. The epoxy resin-based toughening agent liquefaction blending method according to claim 4, characterized in that: When it is determined that the speed step needs to be adjusted, the speed step adjustment value is calculated based on the real-time stirring temperature and the preset stirring temperature. ΔS=j×(E-E') / E', Wherein, ΔS is the adjustment value of the speed step, j is the preset step ratio coefficient, E is the real-time stirring temperature, and E' is the preset stirring temperature.
6. The epoxy resin-based toughening agent liquefaction blending method according to claim 5, characterized in that: In step S4, a preset maximum adjustment safety threshold is set, and the calculated adjustment value is compared with the preset maximum adjustment safety threshold to determine whether the addition ratio needs to be adjusted. If the adjustment value is greater than the maximum adjustment safety threshold, it is determined that the addition ratio needs to be adjusted.
7. The epoxy resin-based toughening agent liquefaction blending method according to claim 6, characterized in that: When it is determined that the addition ratio needs to be adjusted, the addition ratio is adjusted according to the adjustment value and the preset maximum adjustment safety threshold. Q'=Q+c×min (ΔS, ΔS'), Wherein, Q' is the adjusted addition ratio, Q is the preset addition ratio, ΔS is the adjustment value, ΔS' is the maximum adjustment safety threshold, and c is the preset ratio conversion coefficient.
8. The epoxy resin-based toughening agent liquefaction blending method according to claim 7, characterized in that: In step S5, a toughness threshold is preset, and a length sensor is used to collect the distance from the indentation to the crack end and the diagonal length of the indentation, and the fracture toughness is calculated based on the load and the distance from the indentation to the crack end. If the fracture toughness is less than the toughness threshold, it is determined that the adjusted toughening agent addition ratio needs to be corrected.
9. The epoxy resin-based toughening agent liquefaction blending method according to claim 8, characterized in that: When determining that the adjusted toughening agent addition ratio needs to be corrected, a linear regression model is established based on historical data to express the relationship between the toughening agent dosage and the fracture toughness, and the toughness threshold is input into the linear regression model to calculate the required toughening agent dosage, and the required toughening agent addition ratio is calculated based on the required toughening agent dosage, and the determination is made based on the required toughening agent addition ratio and the adjusted toughening agent addition ratio. If the required toughening agent addition ratio is greater than or equal to the adjusted toughening agent addition ratio, it is determined that no correction is required; If the required toughening agent addition ratio is less than the adjusted toughening agent addition ratio, it is determined that correction is required, and the required toughening agent addition ratio is selected as the corrected toughening agent addition ratio.
10. An epoxy resin-based toughening agent liquefaction blending device, based on the epoxy resin-based toughening agent liquefaction blending method according to any one of claims 1 to 9, characterized in that: include: A pigment adding module is used to add the pigment into the toughening agent inside the pigment adding module and mix and stir for a preset time to form a color toughening agent, and at the end of the stirring, the color toughening agent is transported to the stirrer; The stirrer is connected to the pigment adding module and is used to stir the stirring mixture therein according to initial operating parameters, wherein the initial operating parameters include a preset stirring temperature, a preset stirring speed and a preset stirring time; A viscosity monitoring module is arranged inside the stirrer, and is used to detect the real-time viscosity of the stirred mixture in the stirrer, and calculate the real-time viscosity change value of the stirred mixture according to a preset detection unit time length; A temperature control module connected to the viscosity monitoring module, for adjusting and increasing the stirring temperature in the initial operating parameters according to the real-time viscosity change value and the preset viscosity change threshold value when the real-time viscosity change value is less than the preset viscosity change threshold value; An image sensor is provided at an observation window on the stirrer for observing materials, and is used to collect a real-time image of the color-developing toughening agent in the stirred mixture after the stirring temperature is adjusted; An image analysis module, connected to the image sensor, for collecting a real-time image of the color-developing toughening agent in the stirred mixture, and extracting the color value of each pixel in the real-time image, calculating the real-time color difference according to each color value, and calculating the average value of the real-time color difference according to all the real-time color differences, and calculating the standard deviation according to the average value and the real-time color difference, and controlling the stirrer to stop stirring when the standard deviation is less than or equal to a preset standard deviation threshold; A speed adjustment module, connected to the image analysis module, for adjusting the stirring speed according to a preset speed step when the standard deviation is greater than a preset standard deviation threshold; an adding ratio adjustment module, connected to the speed adjustment module, for monitoring the real-time stirring temperature of the stirring mixture within the stirring time after adjusting the stirring speed, and when the real-time stirring temperature is greater than the preset stirring temperature, calculating the adjustment value of the speed step length according to the real-time stirring temperature and the preset stirring temperature, and when the adjustment value is greater than the preset maximum adjustment safety threshold, adjusting the adding ratio to increase according to the adjustment value and the preset maximum adjustment safety threshold; An adding ratio correction module, connected to the adding ratio adjustment module, comprises a curing unit, a hardness tester, a length sensor and a calculating ratio unit; The curing unit is used to cure the stirred mixture to obtain a fracture toughness test sample; The hardness tester is used to apply a preset load on the surface of the fracture toughness test sample to form an indentation with cracks around it; The length sensor is used to collect the distance from the indentation to the end of the crack and the diagonal length of the indentation; The calculation ratio unit is connected to the length sensor, and is used to calculate the fracture toughness according to the load and the distance from the indentation to the crack end. When the fracture toughness is less than a preset toughness threshold, a linear regression model is established according to historical data to express the relationship between the amount of toughening agent and the fracture toughness, and the toughness threshold is input into the linear regression model to calculate the required amount of toughening agent, and the required toughening agent addition ratio is calculated according to the required toughening agent amount, and correction is performed when the required toughening agent addition ratio is less than the adjusted toughening agent addition ratio.
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