Copper clad plate production high dispersibility glue adjusting system

CN117380057BActive Publication Date: 2026-09-25NANTONG TUHAI MASCH C0 LTD
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Patent Information

Application Number
CN202311324079.9
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-10-12
Publication Date
2026-09-25
Estimated Expiration
2043-10-12

AI Technical Summary

Technical Problem

[0002]在覆铜板生产中,高分散性的调胶系统对于确保产品的品质和性能至关重要,传统的调胶系统主要依赖简单的机械混合或振动等物理方法进行胶原料的分散和混合,但这往往不能确保胶与添加剂在微米和纳米尺度上的均匀混合,导致调胶的不均匀和性能波动

Benefits of technology

[0049]本发明,能够确保胶原料在微米和纳米尺度上与添加剂均匀混合,与传统的机械混合或振动等方法相比,这种系统结合了超声分散、微流控技术和旋转搅拌,从而显著提高了混合的均匀性和胶原料的分散性,这有助于生产出具有更高质量和性能稳定性的覆铜板。

✦ Generated by Eureka AI based on patent content.

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Abstract

The present application relates to the technical field of glue mixing technology, and specifically relates to a high-dispersibility glue mixing system for copper-clad plate production, comprising a raw material pretreatment module, an ultrasonic dispersion module, a molecular-level mixing module, an intelligent control module, an energy recycling module, and a storage and conveying module; the raw material pretreatment module is used for preliminarily processing glue raw materials to improve the purity of raw materials; the ultrasonic dispersion module is used for physically dispersing the preliminarily processed glue raw materials by high-frequency ultrasonic waves; the molecular-level mixing module is used for combining microfluidic technology and rotary stirring to mix glue and additives at the micron and nanometer scales; and the intelligent control module is used for intelligently monitoring and self-adaptively adjusting the entire glue mixing process by integrating a sensor network and a deep learning algorithm. The present application realizes efficient mixing, real-time self-adaptive adjustment, and energy recovery, thereby improving the quality, production efficiency, and environmental sustainability of copper-clad plates.
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Description

Technical Field

[0001] This invention relates to the field of adhesive formulation technology, and more particularly to a highly dispersible adhesive formulation system for copper clad laminate production. Background Technology

[0002] In copper clad laminate production, a highly dispersible adhesive mixing system is crucial for ensuring product quality and performance. Traditional adhesive mixing systems mainly rely on simple mechanical mixing or physical methods such as vibration to disperse and mix adhesive raw materials. However, this often cannot ensure uniform mixing of adhesive and additives at the micron and nanoscale, leading to uneven adhesive mixing and performance fluctuations.

[0003] Furthermore, traditional systems often lack effective control over the purity and physical properties of adhesive raw materials during processing, which may lead to defects or unstable performance of copper-clad laminates during production. Moreover, traditional adhesive mixing systems rarely achieve intelligent monitoring and adaptive adjustment of the entire adhesive mixing process, resulting in a large amount of manual intervention required during production, which increases production costs and the risk of errors.

[0004] In addition, the waste heat and vibration energy generated during the copper clad laminate production process are usually wasted in traditional systems and are not effectively recovered and reused. Similarly, there are problems with the preservation and transportation of the prepared adhesive. Traditional methods often cannot ensure the long-term stability of the adhesive and the constant flow rate during transportation.

[0005] Therefore, it is crucial to develop a novel high-dispersion adhesive formulation system for copper clad laminate production. Summary of the Invention

[0006] To achieve the above objectives, the present invention provides a high-dispersion adhesive preparation system for copper clad laminate production.

[0007] A highly dispersible adhesive preparation system for copper clad laminate production includes a raw material pretreatment module, an ultrasonic dispersion module, a molecular-level mixing module, an intelligent control module, an energy recycling module, and a storage and transportation module; wherein,

[0008] Raw material pretreatment module: used to perform preliminary treatment on adhesive raw materials to improve the purity of the raw materials;

[0009] Ultrasonic dispersion module: Uses high-frequency ultrasound to physically disperse the pre-treated adhesive raw materials;

[0010] Molecular-level mixing module: Combining microfluidics and rotary stirring, it enables the mixing of adhesives and additives at the micron and nanoscale.

[0011] Intelligent control module: By integrating sensor networks and deep learning algorithms, it intelligently monitors and adaptively adjusts the entire glue preparation process to ensure that the glue dispersion is always maintained within the predetermined range;

[0012] Energy recycling module: collects waste heat and vibration energy from the system, converts it into electrical energy for storage, and provides additional energy to the system;

[0013] The preservation and delivery module uses vacuum preservation and micro-pump delivery technology to seal and preserve the prepared adhesive in an oxygen-free and pollution-free environment, and deliver it to the production line at a constant speed.

[0014] Furthermore, the raw material pretreatment module includes a nanosieve filtration unit, an ion exchange unit, and a negative pressure adsorption unit; wherein,

[0015] Nano-sieve filtration unit: A sieve with nano-sized pores is used to filter out tiny impurities and impurities in the adhesive raw material. The pore size of the nano-sieve is controlled so that only the molecules of the target adhesive raw material can pass through.

[0016] Ion exchange unit: loaded with ion exchange resin, used to remove unwanted ions and electrolytes from the adhesive raw material;

[0017] Negative pressure adsorption unit: Utilizing activated carbon or molecular sieve as the adsorbent material, it is used to adsorb volatile organic compounds and impurities in the adhesive raw material under negative pressure.

[0018] Furthermore, the ultrasonic dispersion module includes an ultrasonic generator unit, a reaction chamber unit, and a temperature control unit; wherein,

[0019] Ultrasonic generator unit: Equipped with a high-frequency ultrasonic generator, used to physically disperse the adhesive raw materials after they have been processed by the raw material pretreatment module. The frequency and power of the ultrasonic generator can be controlled to adapt to different adhesive raw material characteristics and processing requirements.

[0020] Reaction chamber unit: This is a reaction chamber containing wear-resistant material that can withstand high-energy ultrasonic waves. Inside this chamber, the adhesive raw material is struck by high-frequency ultrasonic waves to achieve physical dispersion.

[0021] Temperature control unit: Under the action of ultrasound, the temperature of the adhesive raw material will rise. The temperature control unit can monitor and control the temperature in the reaction chamber in real time to carry out ultrasonic dispersion at the optimal temperature.

[0022] Furthermore, the molecular-level mixing module includes a microfluidic channel unit, a rotary stirring unit, and a flow rate control unit; wherein,

[0023] Microfluidic channel unit: It is equipped with micron to nanometer-scale flow channels, which are made of silicon-based or polymer materials to ensure efficient mixing of fluids when they flow in them;

[0024] Rotary mixing unit: A stirrer is used to initially mix the adhesive and additives at the entrance of the microfluidic channel to ensure that they are mixed on a macro scale before entering the microfluidic channel;

[0025] Flow rate control unit: Used to regulate the flow rate of adhesives and additives to ensure that adhesives and additives are fully mixed in the microfluidic channel.

[0026] Furthermore, the integrated sensor network specifically includes:

[0027] Dispersion sensor: Used to detect the dispersion state of adhesive raw materials in real time. Utilizing optical principles, when the adhesive raw materials are uniformly dispersed, the light transmission or scattering pattern detected by the sensor will change, thereby monitoring the dispersion quality of the adhesive in real time.

[0028] Conductivity sensor: used to measure the conductivity of a mixture to determine the degree of uniformity of mixing of additives and adhesive raw materials;

[0029] Temperature sensor: The mixing and dispersion process causes temperature changes. This temperature sensor is used to monitor the temperature of the mixing area in real time to ensure that the entire system always operates at the preset temperature.

[0030] Flow sensor: Used to ensure that the flow rate of adhesive and additives is within a preset range, ensuring sufficient mixing time in the microfluidic channel.

[0031] Furthermore, the deep learning algorithm specifically employs a multi-layer feedforward neural network. Specifically, the inputs are dispersion, conductivity, temperature, and flow rate obtained from an integrated sensor network, and the outputs are the system's adjustment parameters, including the power of the ultrasonic generator and the flow rate of the microfluidic channel. The specific neural network formula can be expressed as:

[0032] f(x)=σ(W n ·σ(W n-1 ·…σ(W1·x+b1)…)+b n ),

[0033] Where σ is the activation function, W is the weight matrix, b is the bias term, x is the input parameter, and n is the number of network layers; to ensure that the dispersion of the glue remains within a predetermined range, a loss function L is defined to measure the difference between the neural network output and the predetermined range. Specifically, the gradient descent algorithm is used to minimize the loss function to continuously optimize the parameters of the neural network. The mean squared error formula of the loss function is:

[0034]

[0035] Where y is the actual value, is the output value of the neural network, and m is the number of samples.

[0036] Furthermore, the energy reuse module includes a thermoelectric conversion unit, a vibration energy harvesting unit, and an energy storage unit; specifically,

[0037] Thermoelectric conversion unit: Equipped with thermoelectric material, which can directly convert waste heat into electrical energy. Specifically, when there is a temperature difference between the waste heat generated in the system and the ambient temperature, the Seebeck effect is used to generate a potential difference across the thermoelectric material.

[0038] Vibration energy harvesting unit: Using piezoelectric materials or electromagnetic induction principles, when vibration occurs inside or outside the module, the piezoelectric material will generate charge or current;

[0039] Energy storage unit: Used to store electrical energy converted from thermoelectric conversion unit and vibration energy harvesting unit. This energy storage unit can provide additional energy to the system when needed.

[0040] Furthermore, the storage and delivery module includes a vacuum extraction unit, a sealing unit, and an oxygen detection unit; wherein,

[0041] Vacuum extraction unit: Equipped with a high-efficiency vacuum pump, used to extract air from the storage container to achieve the required vacuum level;

[0042] Sealing unit: When the required vacuum level is reached, the sealing unit is activated immediately, using sealing materials and technologies to ensure that the container is tightly sealed under vacuum conditions;

[0043] Oxygen detection unit: Equipped with an oxygen sensor, it continuously monitors the oxygen concentration inside the container. Specifically, when the sensor detects that the oxygen concentration exceeds the predetermined range, it will automatically trigger an alarm or start a re-vacuuming process to ensure that the storage environment of the adhesive is always in an oxygen-free state.

[0044] Furthermore, the storage and delivery module also includes a micro-flow control unit, a high-precision micro-pump unit, and a feedback adjustment unit; wherein,

[0045] Micro-flow control unit: Equipped with a flow meter, it is used to monitor and adjust the flow rate of the adhesive raw material flowing through the micro-pump in real time, ensuring that the flow rate of the adhesive raw material is constant and matches the needs of the production line;

[0046] High-precision micro-pump unit: Equipped with a miniature electromagnetic drive pump to provide continuous and uniform delivery pressure, thereby ensuring that the adhesive raw material is delivered at a constant speed;

[0047] Feedback adjustment unit: Receives data from the micro-flow control unit and adjusts the operating parameters of the micro-pump in real time. Specifically, when the flow rate is detected to exceed the predetermined range, the feedback adjustment unit will adjust the speed or drive current of the micro-pump to ensure that the delivery speed remains constant.

[0048] The beneficial effects of this invention are:

[0049] This invention ensures that the adhesive raw material is uniformly mixed with the additives at the micron and nanoscale. Compared with traditional mechanical mixing or vibration methods, this system combines ultrasonic dispersion, microfluidic technology and rotary stirring, thereby significantly improving the uniformity of mixing and the dispersibility of the adhesive raw material. This helps to produce copper-clad laminates with higher quality and performance stability.

[0050] This invention, by combining an integrated sensor network and deep learning algorithms, enables real-time monitoring and adaptive adjustment of the entire glue preparation process. This intelligent management not only reduces manual intervention and lowers production costs, but also ensures that the glue preparation quality meets standards under various production environments. This adaptive adjustment method significantly enhances the stability and efficiency of the production process.

[0051] This invention enables the system to recover and store waste heat and vibration energy generated during the production process through an energy reuse module. The waste heat and vibration energy converted into electrical energy provides additional energy for the system, reducing dependence on external energy sources and thus optimizing the energy efficiency of the production process. This not only helps to save energy but also helps to reduce production costs and improve environmental sustainability. Attached Figure Description

[0052] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only for this invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0053] Figure 1 This is a schematic diagram of a highly dispersible gelling system according to an embodiment of the present invention. Detailed Implementation

[0054] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to specific embodiments.

[0055] It should be noted that, unless otherwise defined, the technical or scientific terms used in this invention should have the ordinary meaning understood by one of ordinary skill in the art to which this invention pertains. The terms "first," "second," and similar terms used in this invention do not indicate any order, quantity, or importance, but are merely used to distinguish different components. Terms such as "comprising" or "including" mean that the element or object preceding the word encompasses the elements or objects listed following the word and their equivalents, without excluding other elements or objects. Terms such as "connected" or "linked" are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. Terms such as "upper," "lower," "left," and "right" are used only to indicate relative positional relationships; when the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0056] like Figure 1 As shown, a high-dispersibility adhesive preparation system for copper-clad laminate production includes a raw material pretreatment module, an ultrasonic dispersion module, a molecular-level mixing module, an intelligent control module, an energy recycling module, and a storage and transportation module; wherein,

[0057] Raw material pretreatment module: used to perform preliminary treatment on adhesive raw materials to improve the purity of the raw materials;

[0058] Ultrasonic dispersion module: Uses high-frequency ultrasound to physically disperse the pre-treated adhesive raw materials;

[0059] Molecular-level mixing module: Combining microfluidics and rotary stirring, it enables the mixing of adhesives and additives at the micron and nanoscale.

[0060] Intelligent control module: By integrating sensor networks and deep learning algorithms, it intelligently monitors and adaptively adjusts the entire glue preparation process to ensure that the glue dispersion is always maintained within the predetermined range;

[0061] Energy recycling module: collects waste heat and vibration energy from the system, converts it into electrical energy for storage, and provides additional energy to the system;

[0062] The preservation and delivery module uses vacuum preservation and micro-pump delivery technology to seal and preserve the prepared adhesive in an oxygen-free and pollution-free environment, and deliver it to the production line at a constant speed.

[0063] The raw material pretreatment module includes a nanosieve filtration unit, an ion exchange unit, and a negative pressure adsorption unit; among which,

[0064] Nano-sieve filtration unit: It uses a sieve with nano-sized pores to filter out tiny impurities and impurities in the adhesive raw material. The pore size of the nano-sieve is controlled so that only the molecules of the target adhesive raw material can pass through, thereby effectively improving the purity of the adhesive raw material.

[0065] Ion exchange unit: loaded with ion exchange resin, used to remove unwanted ions and electrolytes from the adhesive raw material. The ion exchange process can ensure the chemical purity of the adhesive raw material and reduce harmful ions that may affect the quality of the adhesive.

[0066] Negative pressure adsorption unit: Utilizing activated carbon or molecular sieve as the adsorbent material, it is used to adsorb volatile organic compounds and impurities in the adhesive raw material under negative pressure. This unit can further improve the purity of the adhesive raw material and ensure that there are no unnecessary organic impurities.

[0067] The ultrasonic dispersion module includes an ultrasonic generator unit, a reaction chamber unit, and a temperature control unit; among which,

[0068] Ultrasonic generator unit: Equipped with a high-frequency ultrasonic generator, used to physically disperse the adhesive raw materials after they have been processed by the raw material pretreatment module. The frequency and power of the ultrasonic generator can be controlled to adapt to different adhesive raw material characteristics and processing requirements.

[0069] Reaction chamber unit: This is a reaction chamber containing wear-resistant material that can withstand the impact of high-energy ultrasonic waves. Inside this chamber, the adhesive raw material is struck by high-frequency ultrasonic waves to achieve physical dispersion. The design of the reaction chamber ensures that the energy of the ultrasonic waves can be efficiently transferred to the adhesive raw material, ensuring the dispersion effect.

[0070] Temperature control unit: Under the action of ultrasound, the temperature of the adhesive raw material will rise. The temperature control unit can monitor and control the temperature in the reaction chamber in real time, and perform ultrasonic dispersion at the optimal temperature to prevent changes in the properties of the adhesive raw material due to excessive temperature.

[0071] The molecular-level mixing module includes a microfluidic channel unit, a rotary stirring unit, and a flow rate control unit; among which,

[0072] Microfluidic channel unit: It is equipped with micron to nanometer-scale flow channels. These channels are made of silicon-based or polymer materials to ensure efficient mixing of fluids when they flow through them. In these microfluidic channels, adhesives and additives can fully contact and mix at a tiny scale.

[0073] Rotary mixing unit: A stirrer is used to initially mix the adhesive and additives at the entrance of the microfluidic channel to ensure that they are mixed on a macro scale before entering the microfluidic channel;

[0074] Flow rate control unit: Used to regulate the flow rate of adhesives and additives to ensure that adhesives and additives are fully mixed in the microfluidic channel;

[0075] Through the precise control and coordinated operation of the above units, the adhesive and additives are fully mixed at the micron and nanoscale, ensuring the uniformity of the mixed material at the molecular level and providing high-quality mixed materials for the intelligent control module.

[0076] Integrated sensor networks specifically include:

[0077] Dispersion sensor: Used to detect the dispersion state of adhesive raw materials in real time. Utilizing optical principles, when the adhesive raw materials are uniformly dispersed, the light transmission or scattering pattern detected by the sensor will change, thereby monitoring the dispersion quality of the adhesive in real time.

[0078] Conductivity sensor: used to measure the conductivity of the mixture to determine the degree of uniformity of the mixing of additives and adhesive raw materials. Conductivity is a parameter closely related to the concentration and dispersibility of substances, so its changes can provide important information for the control module.

[0079] Temperature sensor: The mixing and dispersion process causes temperature changes. This temperature sensor is used to monitor the temperature of the mixing area in real time to ensure that the entire system always operates at the preset temperature.

[0080] Flow sensor: Used to ensure that the flow rate of adhesive and additives is within a preset range, ensuring sufficient mixing time in the microfluidic channel.

[0081] The deep learning algorithm specifically employs a multi-layer feedforward neural network. The inputs are dispersion, conductivity, temperature, and flow rate data obtained from an integrated sensor network. The outputs are the system's adjustment parameters, including the power of the ultrasonic generator and the flow rate in the microfluidic channel. The specific neural network formula can be expressed as:

[0082] f(x)=σ(W n ·σ(W n-1 ·…σ(W1·x+b1)…)+b n ),

[0083] Where σ is the activation function, W is the weight matrix, b is the bias term, x is the input parameter, and n is the number of network layers; to ensure that the dispersion of the glue is always maintained within a predetermined range, a loss function L is defined to measure the difference between the neural network output and the predetermined range. Specifically, the gradient descent algorithm is used to minimize the loss function to continuously optimize the parameters of the neural network. The mean squared error formula of the loss function is:

[0084]

[0085] Where y is the actual value, is the output value of the neural network, and m is the number of samples;

[0086] Through the working mechanism of the aforementioned deep learning algorithm, the intelligent control module can adaptively adjust various parameters of the system based on the data collected in real time, ensuring that the dispersion of the adhesive is always maintained at the predetermined optimal state.

[0087] The energy reuse module includes a thermoelectric conversion unit, a vibration energy harvesting unit, and an energy storage unit; specifically,

[0088] Thermoelectric conversion unit: Equipped with thermoelectric material, which can directly convert waste heat into electrical energy. Specifically, when there is a temperature difference between the waste heat generated in the system and the ambient temperature, the Seebeck effect is used to generate a potential difference across the thermoelectric material, thereby generating current and further converting it into electrical energy for storage.

[0089] Vibration energy harvesting unit: Using piezoelectric materials or electromagnetic induction principles, when vibration occurs inside or outside the module, the piezoelectric material will generate charge or current. After the vibration energy is converted into electrical energy, it is accumulated and stored in the energy storage device.

[0090] Energy storage unit: Used to store electrical energy converted from thermoelectric conversion unit and vibration energy harvesting unit. This energy storage unit can provide additional energy to the system when needed.

[0091] The storage and delivery module includes a vacuum extraction unit, a sealing unit, and an oxygen detection unit; among which,

[0092] Vacuum extraction unit: Equipped with a high-efficiency vacuum pump, it is used to extract air from the storage container to achieve the required vacuum level. This operation ensures that the inside of the container is in a near-vacuum state, greatly reducing contact with the outside air.

[0093] Sealing unit: When the required vacuum level is reached, the sealing unit is activated immediately. It uses sealing materials and technologies to ensure that the container is tightly sealed under vacuum, preventing outside air and contaminants from entering.

[0094] Oxygen detection unit: Equipped with an oxygen sensor, it continuously monitors the oxygen concentration inside the container. Specifically, when the sensor detects that the oxygen concentration exceeds the predetermined range, it will automatically trigger an alarm or start a re-vacuuming process to ensure that the storage environment of the adhesive is always in an oxygen-free state.

[0095] The storage and delivery module also includes a micro-flow control unit, a high-precision micro-pump unit, and a feedback adjustment unit; among which,

[0096] Micro-flow control unit: Equipped with a flow meter, it is used to monitor and adjust the flow rate of the adhesive raw material flowing through the micro-pump in real time, ensuring that the flow rate of the adhesive raw material is constant and matches the needs of the production line;

[0097] High-precision micro-pump unit: Equipped with a miniature electromagnetic drive pump to provide continuous and uniform delivery pressure, thereby ensuring that the adhesive raw material is delivered at a constant speed;

[0098] Feedback adjustment unit: Receives data from the micro-flow control unit and adjusts the operating parameters of the micro-pump in real time. Specifically, when the flow rate is detected to exceed the predetermined range, the feedback adjustment unit will adjust the speed or drive current of the micro-pump to ensure that the delivery speed remains constant.

[0099] Through the synchronized operation of the above units, the storage and delivery module ensures that the prepared adhesive is delivered to the production line at a precise, stable and constant speed, meeting the requirements of continuity and efficiency in the production process.

[0100] This invention is intended to cover all such substitutions, modifications, and variations that fall within the broad scope of the appended claims. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A high-dispersibility adhesive formulation system for copper clad laminate production, characterized in that, It includes a raw material pretreatment module, an ultrasonic dispersion module, a molecular-level mixing module, an intelligent control module, an energy recycling module, and a storage and transportation module; among which, Raw material pretreatment module: used to perform preliminary treatment on adhesive raw materials to improve the purity of the raw materials; The raw material pretreatment module includes a nanosieve filtration unit, an ion exchange unit, and a negative pressure adsorption unit; wherein... Nano-sieve filtration unit: A sieve with nano-sized pores is used to filter out tiny impurities and impurities in the adhesive raw material. The pore size of the nano-sieve is controlled so that only the molecules of the target adhesive raw material can pass through. Ion exchange unit: loaded with ion exchange resin, used to remove unwanted ions and electrolytes from the adhesive raw material; Negative pressure adsorption unit: Utilizing activated carbon or molecular sieve as the adsorption material, it is used to adsorb volatile organic compounds and impurities in the adhesive raw material under negative pressure. Ultrasonic dispersion module: Uses high-frequency ultrasound to physically disperse the pre-treated adhesive raw materials; Molecular-level mixing module: Combining microfluidics and rotary stirring, it enables the mixing of adhesives and additives at the micron and nanoscale. The molecular-level mixing module includes a microfluidic channel unit, a rotary stirring unit, and a flow rate control unit; wherein... Microfluidic channel unit: It is equipped with micron to nanometer-scale flow channels, which are made of silicon-based or polymer materials to ensure efficient mixing of fluids when they flow in them; Rotary mixing unit: A stirrer is used to initially mix the adhesive and additives at the entrance of the microfluidic channel to ensure that they are mixed on a macro scale before entering the microfluidic channel; Flow rate control unit: Used to regulate the flow rate of adhesives and additives to ensure that adhesives and additives are fully mixed in the microfluidic channel; Intelligent control module: By integrating sensor networks and deep learning algorithms, it intelligently monitors and adaptively adjusts the entire glue preparation process to ensure that the glue dispersion is always maintained within the predetermined range; The integrated sensor network specifically includes: Dispersion sensor: Used to detect the dispersion state of adhesive raw materials in real time. Utilizing optical principles, when the adhesive raw materials are uniformly dispersed, the light transmission or scattering pattern detected by the sensor will change, thereby monitoring the dispersion quality of the adhesive in real time. Conductivity sensor: used to measure the conductivity of a mixture to determine the degree of uniformity of mixing of additives and adhesive raw materials; Temperature sensor: The mixing and dispersion process causes temperature changes. This temperature sensor is used to monitor the temperature of the mixing area in real time to ensure that the entire system always operates at the preset temperature. Flow sensor: Used to ensure that the flow rate of adhesive and additives is within a preset range, ensuring sufficient mixing time in the microfluidic channel; The deep learning algorithm specifically employs a multi-layer feedforward neural network. The inputs are dispersion, conductivity, temperature, and flow rate obtained from an integrated sensor network. The outputs are the system's adjustment parameters, including the power of the ultrasonic generator and the flow rate of the microfluidic channel. The neural network formula is expressed as follows: , in, For activation function, This is the weight matrix. For bias terms, For input parameters, Let be the number of network layers; to ensure that the dispersibility of the adhesive remains within a predetermined range, a loss function is defined. To measure the difference between the neural network output and a predetermined range, the gradient descent algorithm is used to minimize the loss function, thereby continuously optimizing the neural network parameters. The mean squared error formula for the loss function is: , in, This is the actual value. It is the output value of the neural network. It is the sample size; Energy recycling module: collects waste heat and vibration energy from the system, converts it into electrical energy for storage, and provides additional energy to the system; The preservation and delivery module uses vacuum preservation and micro-pump delivery technology to seal and preserve the prepared adhesive in an oxygen-free and pollution-free environment, and deliver it to the production line at a constant speed.

2. The high-dispersibility adhesive preparation system for copper clad laminate production according to claim 1, characterized in that, The ultrasonic dispersion module includes an ultrasonic generator unit, a reaction chamber unit, and a temperature control unit; wherein... Ultrasonic generator unit: Equipped with a high-frequency ultrasonic generator, used to physically disperse the adhesive raw materials after they have been processed by the raw material pretreatment module. The frequency and power of the ultrasonic generator can be controlled to adapt to different adhesive raw material characteristics and processing requirements. Reaction chamber unit: This is a reaction chamber containing wear-resistant material that can withstand high-energy ultrasonic waves. Inside this chamber, the adhesive raw material is struck by high-frequency ultrasonic waves to achieve physical dispersion. Temperature control unit: Under the action of ultrasound, the temperature of the adhesive raw material will rise. The temperature control unit can monitor and control the temperature in the reaction chamber in real time to carry out ultrasonic dispersion at the optimal temperature.

3. The high-dispersibility adhesive preparation system for copper clad laminate production according to claim 2, characterized in that, The energy reuse module includes a thermoelectric conversion unit, a vibration energy harvesting unit, and an energy storage unit. Thermoelectric conversion unit: Equipped with thermoelectric material, which can directly convert waste heat into electrical energy. When there is a temperature difference between the waste heat generated in the system and the ambient temperature, the Seebeck effect is used to generate a potential difference across the thermoelectric material. Vibration energy harvesting unit: Using piezoelectric materials or electromagnetic induction principles, when vibration occurs inside or outside the module, the piezoelectric material will generate charge or current; Energy storage unit: Used to store electrical energy converted from thermoelectric conversion unit and vibration energy harvesting unit. This energy storage unit can provide additional energy to the system when needed.

4. The high-dispersibility adhesive preparation system for copper-clad laminate production according to claim 3, characterized in that, The storage and delivery module includes a vacuum extraction unit, a sealing unit, and an oxygen detection unit; wherein... Vacuum extraction unit: Equipped with a high-efficiency vacuum pump, used to extract air from the storage container to achieve the required vacuum level; Sealing unit: When the required vacuum level is reached, the sealing unit is activated immediately, using sealing materials and technologies to ensure that the container is tightly sealed under vacuum conditions; Oxygen detection unit: Equipped with an oxygen sensor, it continuously monitors the oxygen concentration inside the container. When the sensor detects that the oxygen concentration exceeds the predetermined range, it will automatically trigger an alarm or start the vacuuming process again to ensure that the storage environment of the adhesive is always in an oxygen-free state.

5. The high-dispersibility adhesive preparation system for copper-clad laminate production according to claim 4, characterized in that, The storage and delivery module further includes a micro-flow control unit, a high-precision micro-pump unit, and a feedback adjustment unit; wherein... Micro-flow control unit: Equipped with a flow meter, it is used to monitor and adjust the flow rate of the adhesive raw material flowing through the micro-pump in real time, ensuring that the flow rate of the adhesive raw material is constant and matches the needs of the production line; High-precision micro-pump unit: Equipped with a miniature electromagnetic drive pump to provide continuous and uniform delivery pressure, thereby ensuring that the adhesive raw material is delivered at a constant speed; Feedback adjustment unit: Receives data from the micro-flow control unit and adjusts the operating parameters of the micro-pump in real time. When the flow rate is detected to exceed the predetermined range, the feedback adjustment unit will adjust the speed or drive current of the micro-pump to ensure that the delivery speed remains constant.

Citation Information

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