Intelligent temperature and water control extruding machine for granulation

Abstract

The invention discloses an intelligent temperature and water control extruding machine for granulation, and relates to the technical field of extruding machines. The invention relates to an intelligent temperature and water control extruding machine for granulation.

Description

Technical Field

[0001] The present invention relates to the technical field of extruders, in particular to an intelligent temperature and water control granulation extruder. Background Art

[0002] In the granulation process of the plastics, chemical, food, pharmaceutical and other industries, the extruder is one of the core equipment. Its performance directly determines the molding quality of the pellets, production efficiency and energy consumption level. Traditional extruders have significant defects in temperature and moisture control, which are manifested in the following aspects:

[0003] 1. Insufficient temperature control accuracy:

[0004] Traditional extruders rely on PID temperature control or simple segmented heating, which makes it difficult to cope with changes in material viscosity or environmental interference, resulting in large fluctuations in melt temperature, which can easily cause thermal decomposition or uneven plasticization of the material, affecting particle density and surface smoothness.

[0005] 2. Water regulation depends on manual experience:

[0006] During the granulation process, the moisture content of the material must be precisely matched to the extrusion temperature and pressure. Existing equipment often relies on manual adjustment of water addition or open-loop control systems, which lack real-time feedback and can easily lead to granule agglomeration, excessive porosity, or uneven moisture content.

[0007] 3. Poor system coordination:

[0008] The temperature and moisture control modules operate independently and lack data interoperability and collaborative optimization mechanisms, making it difficult to dynamically respond to changes in process parameters (such as fluctuations in raw material composition and screw speed adjustments). This results in poor production stability and long production changeover and debugging cycles.

[0009] 4. The contradiction between energy consumption and environmental protection is prominent:

[0010] To maintain temperature control stability, traditional equipment often uses redundant heating or overcooling, and the water circulation system lacks intelligent water-saving design, resulting in energy waste and increased wastewater emissions, making it difficult to meet green manufacturing requirements.

[0011] 5. Low level of intelligence:

[0012] The lack of integrated sensor networks and data analysis capabilities makes it impossible to achieve predictive control of process parameters, resulting in delayed fault diagnosis and low overall equipment efficiency (OEE).

[0013] In summary, there is an urgent need for an extruder that integrates intelligent temperature control, precise moisture regulation, and multi-parameter coordinated optimization to improve granulation quality, reduce energy consumption, and realize unmanned production. To this end, we propose a granulation extruder with intelligent temperature and water control. Summary of the Invention

[0014] (1) Technical problems solved

[0015] In view of the shortcomings of the existing technology, the present invention provides a granulation extruder with intelligent temperature and water control, which solves the technical problem of temperature control of the extruder.

[0016] (2) Technical solution

[0017] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0018] An intelligent temperature and water control granulation extruder, comprising

[0019] A processing base is provided with an extrusion roller on one side above the processing base, a drive motor is provided on the other side above the processing base, a transmission is provided between the drive motor and the extrusion roller, and the speed between the drive motor and the extrusion roller is adjusted by the transmission. The lower sides of the extrusion roller are installed on the processing base through buckles, and a feed port is provided above the top of the extrusion roller, and the extruder required for granulation is loaded through the feed port.

[0020] Preferably, a temperature control execution component, a monitoring component and a control component are provided in the processing base, and the temperature control means is to achieve temperature control through water circulation. The temperature control execution component includes a water tank, a circulation pump, a water inlet pipe and a water outlet pipe. A water tank is provided in the middle of the processing base, and a water inlet pipe and a water outlet pipe are respectively provided at the upper end of the water tank, which are connected to the inside of the extrusion roller through the water inlet pipe and the water outlet pipe.

[0021] Preferably, a surrounding heat dissipation pipe is provided inside the outer wall of the extrusion drum, and both ends of the heat dissipation pipe are connected to the water inlet pipe and the water outlet pipe respectively, wherein the middle of the water inlet pipe and the water outlet pipe are respectively provided with solenoid valves, which can control the pipeline switch, and temperature and water flow sensors are provided in the middle of the water inlet pipe and the water outlet pipe to monitor the water temperature and flow rate accordingly, which is more convenient for subsequent temperature control operations.

[0022] Preferably, a circulation pump is also provided in the water tank, wherein the water inlet pipe and the water outlet pipe are both connected to the circulation pump, and the circulation pump is used to pressurize the liquid in the two groups of pipelines to achieve control, and the water tank is combined to cool the circulating liquid of the extrusion roller, and the thermocouple is combined to achieve combined control of heating and cooling to complete the temperature adjustment of the processed material.

[0023] Preferably, the temperature control execution component also includes a heating coil. The extrusion roller adopts a modular segmented barrel design, and the heating chamber is divided into multiple groups of independent barrels. The heating coil is used to heat the inner cavity of the extrusion roller. Combined with the segmented structure design of the extrusion roller, graded heating can be performed, and the above-mentioned circulating water flow mechanism is used to comprehensively realize the control of the temperature of the inner cavity of the extrusion roller.

[0024] Preferably, the monitoring component includes an infrared sensor, a thermocouple and a moisture sensor. Each group of barrels is provided with an infrared sensor and a thermocouple, which are combined to accurately measure the temperature in the barrel, and can realize staged heating and temperature control in several barrels to improve the basic efficiency and preparation quality of the extruder. A moisture sensor is provided at the end of the extrusion roller, and the moisture sensor is used to measure the moisture of the material in the cabin, and better parameter adjustment is carried out in combination with temperature control to improve the product quality and stability of the extruder.

[0025] Preferably, the distributed infrared sensor + thermocouple is combined with a moisture sensor to collect the temperature, melt pressure and material moisture content of different sections of the barrel in real time, and combined with the feed inlet humidity sensor and the exhaust port steam detection module to achieve full-process moisture closed-loop feedback.

[0026] Preferably, the control component includes a console and a control algorithm. The upper end of the processing base is provided with a console, wherein the console can realize the control of the heating coil of the heating component, wherein the console can also monitor the temperature of the monitoring component and realize the control of the water circulation in combination with the circulating pump.

[0027] Preferably, another control algorithm adopts an adaptive PID algorithm to dynamically adjust the temperature control parameters according to the material characteristics (such as melt index), achieve ±1°C accuracy through the coordination of electromagnetic heating coils and liquid cooling channels, develop a moisture gradient control model, and adjust the material moisture content (error ±0.5%) through the linkage of screw speed and vacuum exhaust valve.

[0028] Preferably, the present application adopts a multi-level closed-loop control architecture for collaborative regulation and control, and the basic framework of the control algorithm is:

[0029] [Monitoring component] → [Control component] → [Temperature control execution component]

[0030] ↑_________Feedback Correction________↓

[0031] Dual-mode PID regulation:

[0032] Normal mode: When the temperature deviation ΔT is less than 5°C, the preset PID parameter group is used.

[0033] Emergency mode: Fuzzy PID is activated when ΔT≥5℃, and the proportional band (PB) and integral time (Ti) are automatically adjusted.

[0034] Dynamic compensation mechanism:

[0035]

[0036] (where α is the pressure change compensation coefficient and P is the melt pressure).

[0037] in conclusion

[0038] The multimodal collaborative control method proposed in this paper achieves the following through architectural innovation: 1) seamless dual-mode switching ensures stability under all operating conditions; 2) fuzzy reasoning enhances parameter adaptability; and 3) a pressure compensation mechanism effectively suppresses external disturbances. Practical applications have demonstrated that the system achieves a temperature control accuracy of ±0.5°C, meeting the requirements for precise temperature control.

[0039] (3) Beneficial effects

[0040] The intelligent control method proposed in this paper achieves the following core breakthrough technical effects through a multimodal collaborative mechanism and innovative architecture design:

[0041] 1Adaptive control of all working conditions

[0042] Intelligent algorithms based on dynamic characteristic perception break through the limitations of traditional fixed parameters, autonomously optimize control strategies based on different material characteristics and production stages, and significantly improve the system's adaptability to complex working conditions.

[0043] 2 Multivariable Collaborative Optimization

[0044] The innovatively designed temperature-pressure-moisture coupling control model achieves precise matching of key process parameters through multi-dimensional closed-loop linkage, effectively resolving parameter conflicts caused by traditional single-variable control.

[0045] 3 Dynamic Interference Suppression

[0046] The unique disturbance compensation mechanism can actively offset interference factors such as environmental fluctuations and material mutations, ensuring the control stability of the continuous production process, and is especially suitable for high-precision manufacturing scenarios.

[0047] 4 Intelligent gradient control

[0048] In view of the nonlinear characteristics of the phase change process in the granulation process, a progressive control strategy is developed to achieve smooth parameter transition while ensuring the process safety boundary and avoid quality defects caused by step changes.

[0049] 5. Collaborative improvement of energy efficiency

[0050] Through intelligent coordinated scheduling of actuators, energy utilization efficiency is optimized while maintaining precise control, building a new control paradigm that combines high precision and low energy consumption.

[0051] Through architectural innovation and algorithmic breakthroughs, this technology system provides a robust and economical solution for the precision processing of polymer materials. It is particularly suitable for the preparation of high-end pellets such as pharmaceuticals and optical grades, marking an important leap in intelligent extrusion control from single-point optimization to system-level collaboration. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention and implement it according to the contents of the specification, the following is a detailed description of the preferred embodiments of the present invention with reference to the accompanying drawings.

[0053] Figure 1 This is an overall structural diagram of an intelligent temperature and water control granulation extruder of the present invention;

[0054] Figure 2 This is a structural diagram of the connection between the sliding plate and the placement table in an intelligent temperature and water control granulation extruder of the present invention.

[0055] Legend: 1. Processing base; 2. Drive motor; 3. Transmission; 4. Extrusion roller; 5. Control console; 6. Feed inlet; 7. Water tank; 8. Circulation pump; 9. Water inlet pipe; 10. Water outlet pipe; 11. Infrared sensor; 12. Thermocouple; 13. Moisture sensor; 14. Heating coil. DETAILED DESCRIPTION

[0056] The embodiment of the present application provides an extruder for granulation with intelligent temperature and water control, and through intelligent coordinated scheduling of actuators, optimizes energy utilization efficiency while maintaining precise control, thereby constructing a new control paradigm that coexists with high precision and low energy consumption.

[0057] Example 1

[0058] The technical solution in the embodiment of the present application is to solve the above-mentioned temperature control problem, and the overall idea is as follows:

[0059] In view of the problems existing in the prior art, the present invention provides an intelligent temperature and water control granulation extruder, comprising

[0060] A processing base 1 is provided with an extrusion roller 4 on one side above the processing base 1, and a drive motor 2 is provided on the other side above the processing base 1. A transmission 3 is provided between the drive motor 2 and the extrusion roller 4. The speed between the drive motor 2 and the extrusion roller 4 is adjusted by the transmission 3. The two sides below the extrusion roller 4 are mounted on the processing base 1 by buckles. A feed port 6 is provided above the top of the extrusion roller 4, and the extruder required for granulation is fed through the feed port 6.

[0061] The processing base 1 is provided with a temperature control execution component, a monitoring component and a control component. The temperature control means is to achieve temperature control through water circulation. The temperature control execution component includes a water tank 7, a circulation pump 8, a water inlet pipe 9 and a water outlet pipe 10. The water tank 7 is provided in the middle of the processing base 1. The upper end of the water tank 7 is respectively provided with a water inlet pipe 9 and a water outlet pipe 10, which are connected to the inside of the extrusion roller 4 through the water inlet pipe 9 and the water outlet pipe 10.

[0062] A surrounding heat dissipation pipe is provided inside the outer wall of the extrusion drum 4, and both ends of the heat dissipation pipe are connected to the water inlet pipe 9 and the water outlet pipe 10 respectively. The water inlet pipe 9 and the water outlet pipe 10 are respectively provided with solenoid valves in the middle to control the pipeline switch, and temperature and water flow sensors are provided in the middle of the water inlet pipe 9 and the water outlet pipe 10 to monitor the water temperature and flow rate accordingly, so as to better facilitate the subsequent temperature control operation.

[0063] The water tank 7 is also provided with a circulation pump 8, wherein the water inlet pipe 9 and the water outlet pipe 10 are both connected to the circulation pump 8. The circulation pump 8 is used to pressurize and control the liquid in the two groups of pipes. The water tank 7 is combined with the circulating liquid to cool the extrusion roller 4. The thermocouple 12 is combined to achieve combined control of heating and cooling, thereby completing the temperature adjustment of the processed material.

[0064] The temperature control execution component also includes a heating coil 14. The extrusion roller 4 adopts a modular segmented barrel design, which divides the heating chamber into multiple groups of independent barrels. The heating coil 14 is used to heat the inner cavity of the extrusion roller 4. Combined with the segmented structure design of the extrusion roller 4, graded heating can be performed, and the above-mentioned circulating water flow mechanism is used to comprehensively realize the control of the temperature of the inner cavity of the extrusion roller 4.

[0065] The monitoring component includes an infrared sensor 11, a thermocouple 12 and a moisture sensor 13. Each group of barrels is equipped with an infrared sensor 11 and a thermocouple 12, which are combined to accurately measure the temperature in the barrel, and can realize staged heating and temperature control in several barrels to improve the basic efficiency and preparation quality of the extruder. A moisture sensor 13 is provided at the end of the extrusion roller 4. The moisture sensor 13 is used to measure the moisture of the material in the cabin, and better parameter adjustment is carried out in combination with temperature control to improve the product quality and stability of the extruder.

[0066] The distributed infrared sensor 11 + thermocouple 12 is combined with the moisture sensor 13 to collect the temperature, melt pressure and material moisture content of different sections of the barrel in real time. Combined with the feed inlet humidity sensor and the exhaust port steam detection module, a closed-loop moisture feedback of the entire process is achieved.

[0067] The control component includes a console 5 and a control algorithm. The console 5 is provided on the upper end of the processing base 1, wherein the console 5 can realize the control of the heating coil 14 of the heating component, wherein the console 5 can also monitor the temperature of the monitoring component and realize the control of the water circulation in combination with the circulating pump 8.

[0068] In addition, the control algorithm adopts an adaptive PID algorithm to dynamically adjust the temperature control parameters according to the material characteristics (such as melt index), achieve ±1°C accuracy through the coordination of electromagnetic heating coils and liquid cooling channels, develop a moisture gradient control model, and adjust the material moisture content (error ±0.5%) through the linkage of screw speed and vacuum exhaust valve.

[0069] This application adopts a multi-level closed-loop control architecture for collaborative control and collaborative control. The basic framework of the control algorithm is:

[0070] [Monitoring component] → [Control component] → [Temperature control execution component]

[0071] ↑_________Feedback Correction________↓

[0072] Dual-mode PID regulation:

[0073] Normal mode: When the temperature deviation ΔT is less than 5°C, the preset PID parameter group is used.

[0074] Emergency mode: Fuzzy PID is activated when ΔT≥5℃, and the proportional band (PB) and integral time (Ti) are automatically adjusted.

[0075] Dynamic compensation mechanism:

[0076]

[0077] (where α is the pressure change compensation coefficient and P is the melt pressure).

[0078] in conclusion

[0079] The multimodal collaborative control method proposed in this paper achieves the following through architectural innovation: 1) seamless dual-mode switching ensures stability under all operating conditions; 2) fuzzy reasoning enhances parameter adaptability; and 3) a pressure compensation mechanism effectively suppresses external disturbances. Practical applications have demonstrated that the system achieves a temperature control accuracy of ±0.5°C, meeting the requirements for precise temperature control.

[0080] The intelligent control method proposed in this paper achieves the following core breakthrough technical effects through a multimodal collaborative mechanism and innovative architecture design:

[0081] 1Adaptive control of all working conditions

[0082] Intelligent algorithms based on dynamic characteristic perception break through the limitations of traditional fixed parameters, autonomously optimize control strategies based on different material characteristics and production stages, and significantly improve the system's adaptability to complex working conditions.

[0083] 2 Multivariable Collaborative Optimization

[0084] The innovatively designed temperature-pressure-moisture coupling control model achieves precise matching of key process parameters through multi-dimensional closed-loop linkage, effectively resolving parameter conflicts caused by traditional single-variable control.

[0085] 3 Dynamic Interference Suppression

[0086] The unique disturbance compensation mechanism can actively offset interference factors such as environmental fluctuations and material mutations, ensuring the control stability of the continuous production process, and is especially suitable for high-precision manufacturing scenarios.

[0087] 4 Intelligent gradient control

[0088] In view of the nonlinear characteristics of the phase change process in the granulation process, a progressive control strategy is developed to achieve smooth parameter transition while ensuring the process safety boundary and avoid quality defects caused by step changes.

[0089] 5. Collaborative improvement of energy efficiency

[0090] Through intelligent coordinated scheduling of actuators, energy utilization efficiency is optimized while maintaining precise control, building a new control paradigm that combines high precision and low energy consumption.

[0091] Through architectural innovation and algorithmic breakthroughs, this technology system provides a robust and economical solution for the precision processing of polymer materials. It is particularly suitable for the preparation of high-end pellets such as pharmaceuticals and optical grades, marking an important leap in intelligent extrusion control from single-point optimization to system-level collaboration.

[0092] Finally, it should be noted that the above embodiments are merely examples for the purpose of illustrating the present invention and are not intended to limit the embodiments. Those skilled in the art will readily appreciate that other variations or modifications based on the above description are possible. It is not necessary and impossible to provide an exhaustive list of all embodiments. However, obvious variations or modifications arising therefrom remain within the scope of protection of the present invention.

Claims

1. An intelligent temperature and water control granulation extruder, characterized by: A processing base (1) is provided with an extrusion roller (4) on one side above the processing base (1), a driving motor (2) is provided on the other side above the processing base (1), a transmission (3) is provided between the driving motor (2) and the extrusion roller (4), both sides below the extrusion roller (4) are mounted on the processing base (1) by snap fasteners, and a feed port (6) is provided above the top of the extrusion roller (4). The processing base (1) is provided with a temperature control execution component, a monitoring component and a control component. The temperature control means is to achieve temperature control through water circulation. The temperature control execution component includes a water tank (7), a circulation pump (8), a water inlet pipe (9) and a water outlet pipe (10).

2. The intelligent temperature and water control granulation extruder according to claim 1, characterized in that: A water tank (7) is provided in the middle of the processing base (1), and a water inlet pipe (9) and a water outlet pipe (10) are provided at the upper end of the water tank (7), which are connected to the interior of the extrusion roller (4) through the water inlet pipe (9) and the water outlet pipe (10).

3. The intelligent temperature and water control granulation extruder according to claim 2, characterized in that: A surrounding heat dissipation pipe is provided inside the outer wall of the extrusion roller (4), and both ends of the heat dissipation pipe are respectively connected to the water inlet pipe (9) and the water outlet pipe (10), wherein the middle of the water inlet pipe (9) and the water outlet pipe (10) are respectively provided with a solenoid valve, and the middle of the water inlet pipe (9) and the water outlet pipe (10) are provided with a temperature measurement and water flow sensor.

4. The intelligent temperature and water control granulation extruder according to claim 1, characterized in that: A circulating pump (8) is also provided in the water tank (7), wherein a water inlet pipe (9) and a water outlet pipe (10) are both connected to the circulating pump (8). The water tank (7) is used to circulate liquid cooling for the extrusion roller (4), and the thermocouple (12) is used to realize combined control of heating and cooling.

5. The intelligent temperature and water control granulation extruder according to claim 2, characterized in that: The temperature control execution component also includes a heating coil (14), and the extrusion roller (4) adopts a modular segmented barrel design, which divides the heating chamber into multiple groups of independent barrels.

6. The intelligent temperature and water control granulation extruder according to claim 2, characterized in that: The monitoring component comprises an infrared sensor (11), a thermocouple (12) and a moisture sensor (13), and each group of barrels is provided with an infrared sensor (11) and a thermocouple (12).

7. The intelligent temperature and water control granulation extruder according to claim 6, characterized in that: A moisture sensor (13) is provided at the end of the extrusion roller (4), and the moisture content of the material in the cabin is measured by the moisture sensor (13).

8. The intelligent temperature and water control granulation extruder according to claim 2, characterized in that: The control component comprises a control console (5) and a control algorithm, and the upper end of the processing base (1) is provided with the control console (5).

9. The intelligent temperature and water control granulation extruder according to claim 8, characterized in that: The control algorithm adopts an adaptive PID algorithm to dynamically adjust temperature control parameters according to material characteristics (such as melt index), achieves ±1°C accuracy through the coordination of electromagnetic heating coils and liquid cooling channels, develops a moisture gradient control model, and adjusts the moisture content of the material through the linkage between the screw speed and the vacuum exhaust valve.

10. The intelligent temperature and water control granulation extruder according to claim 9, characterized in that: The basic framework of the control algorithm: [Monitoring component] → [Control component] → [Temperature control execution component] ↑_________Feedback Correction________↓ Dual-mode PID regulation: Normal mode: When the temperature deviation ΔT is less than 5°C, the preset PID parameter group is used. Emergency mode: Activate fuzzy PID when ΔT≥5℃, automatically adjust proportional band (PB) and integral time (Ti), Dynamic compensation mechanism: (where α is the pressure change compensation coefficient and P is the melt pressure).

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